From dacee0ba0389f1bc9d6bb624639b2bb415523a94 Mon Sep 17 00:00:00 2001 From: alexhroom Date: Fri, 13 Dec 2024 14:47:22 +0000 Subject: [PATCH 01/10] added bayes benchmark script --- .../bayes_benchmark/bayes_benchmark.py | 238 ++++++++++++++++++ .../defaultR1ProjectTemplate.mat | Bin 0 -> 7655 bytes 2 files changed, 238 insertions(+) create mode 100644 RATapi/examples/bayes_benchmark/bayes_benchmark.py create mode 100644 RATapi/examples/bayes_benchmark/defaultR1ProjectTemplate.mat diff --git a/RATapi/examples/bayes_benchmark/bayes_benchmark.py b/RATapi/examples/bayes_benchmark/bayes_benchmark.py new file mode 100644 index 00000000..cde230fb --- /dev/null +++ b/RATapi/examples/bayes_benchmark/bayes_benchmark.py @@ -0,0 +1,238 @@ +""" +This example compares three Bayesian posteriors for a low-dimensional +example: a posterior generated by DREAM, one generated by NS, and +one calculated directly. + +The likelihood of the parameters being equal to a certain value is proportional +to exp(-chi^2 / 2) [1], so for a low-dimensional example we can calculate this directly +for a sample of parameter values. + +Citation: +[1] D. S. Sivia, J. R. P. Webster, + "The Bayesian approach to reflectivity data", + Physica B: Condensed Matter, + Volume 248, June 1998, pages 327-337 + DOI: 10.1016/S0921-4526(98)00259-2 + URL: https://bayes.wustl.edu/sivia/98_20feb03.pdf + +""" + +from dataclasses import dataclass +from pathlib import Path + +import matplotlib.pyplot as plt +import numpy as np + +import RATapi as RAT +import RATapi.utils.plotting as RATplot + +PWD = Path(__file__).parents[0] + + +@dataclass +class CalculationResults: + """Data class for results from a direct calculation.""" + + x_data: list[np.array] + distribution: np.array + + +def bayes_benchmark_2d(grid_size: int) -> (RAT.outputs.BayesResults, CalculationResults): + """Bayes benchmark for a 2-dimensional example. + + Parameters + ---------- + grid_size : int + The number of points to sample for each fit parameter. + + Here we estimate the substrate roughness and background using two different methods: + nested sampling (the 'ns' procedure in RAT) and through a direct calculation of chi-squared + over a range of parameter values. + + Returns + ------- + RAT.BayesResults + The BayesResults object from a nested sampler calculation. + CalculationResults + Results from the direct calculation. + + """ + problem = RAT.utils.convert.r1_to_project_class(str(PWD / "defaultR1ProjectTemplate.mat")) + + ns_controls = RAT.Controls(procedure="ns", calcSldDuringFit=True, nsTolerance=1, nLive=500, display="final") + + _, ns_results = RAT.run(problem, ns_controls) + + # now we get the parameters and use them to do a direct calculation + rough_param = problem.parameters[0] + roughness = np.linspace(rough_param.min, rough_param.max, grid_size) + + back_param = problem.background_parameters[0] + background = np.linspace(back_param.min, back_param.max, grid_size) + + controls = RAT.Controls(procedure="calculate", calcSldDuringFit=True, display="off") + + def calculate_posterior(roughness_index: int, background_index: int) -> float: + """Calculate the posterior for an item in the roughness and background vectors. + + Parameters + ---------- + roughness_index : int + The index of the roughness vector to use as the roughness parameter value. + background_index : int + The index of the background vector to use as the background parameter value. + + Returns + ------- + float + The value of exp(-chi^2 / 2) for the given roughness and background values. + """ + problem.parameters[0].value = roughness[int(roughness_index)] + problem.background_parameters[0].value = background[background_index] + + _, results = RAT.run(problem, controls) + chi_squared = results.calculationResults.sumChi + + return np.exp(-chi_squared / 2) + + vectorized_calc_posterior = np.vectorize(calculate_posterior) + + print("Calculating posterior directly...") + probability_array = vectorized_calc_posterior(*np.indices((grid_size, grid_size), dtype=int)) + + return ns_results, CalculationResults(x_data=[roughness, background], distribution=probability_array) + + +def bayes_benchmark_3d(grid_size: int) -> (RAT.outputs.BayesResults, CalculationResults): + """Bayes benchmark for a 3-dimensional example. + + Here we estimate the substrate roughness and background using two different methods: + nested sampling (the 'ns' procedure in RAT) and through a direct calculation of chi-squared + over a range of parameter values. + + Parameters + ---------- + grid_size : int + The number of points to sample for each fit parameter. + + Returns + ------- + RAT.BayesResults + The BayesResults object from a nested sampler calculation. + CalculationResults + Results from the direct calculation. + + """ + problem = RAT.utils.convert.r1_to_project_class(str(PWD / "defaultR1ProjectTemplate.mat")) + + ns_controls = RAT.Controls(procedure="ns", calcSldDuringFit=True, nsTolerance=1, nLive=500, display="final") + + _, ns_results = RAT.run(problem, ns_controls) + + # now we get the parameters and use them to do a direct calculation + rough_param = problem.parameters[0] + roughness = np.linspace(rough_param.min, rough_param.max, grid_size) + + back_param = problem.background_parameters[0] + background = np.linspace(back_param.min, back_param.max, grid_size) + + scale_param = problem.scalefactors[0] + scalefactor = np.linspace(scale_param.min, scale_param.max, grid_size) + + controls = RAT.Controls(procedure="calculate", calcSldDuringFit=True, display="off") + + def calculate_posterior(roughness_index: int, background_index: int, scalefactor_index: int) -> float: + """Calculate the posterior for an item in the roughness, background, and scalefactor vectors. + + Parameters + ---------- + roughness_index : int + The index of the roughness vector to use as the roughness parameter value. + background_index : int + The index of the background vector to use as the background parameter value. + scalefactor_index : int + The index of the scalefactor vector to use as the scalefactor parameter. + + Returns + ------- + float + The value of exp(-chi^2 / 2) for the given roughness and background values. + """ + problem.parameters[0].value = roughness[roughness_index] + problem.background_parameters[0].value = background[background_index] + problem.scalefactors[0].value = scalefactor[scalefactor_index] + + _, results = RAT.run(problem, controls) + chi_squared = results.calculationResults.sumChi + + return np.exp(-chi_squared / 2) + + vectorized_calc_posterior = np.vectorize(calculate_posterior) + + print("Calculating posterior directly...") + probability_array = vectorized_calc_posterior(*np.indices((grid_size, grid_size, grid_size), dtype=int)) + + return ns_results, CalculationResults(x_data=[roughness, background, scalefactor], distribution=probability_array) + + +def plot_posterior_comparison(ns_results: RAT.outputs.BayesResults, calc_results: CalculationResults): + """Create a grid of marginalised posteriors comparing different calculation methods. + + Parameters + ---------- + ns_results : RAT.BayesResults + The BayesResults object from a nested sampler calculation. + calc_results : CalculationResults + The results from a direct calculation. + """ + num_params = calc_results.distribution.ndim + fig, axes = plt.subplots(2, num_params) + + def plot_marginalised_result(dimension: int, axes: plt.Axes): + """Plot a histogram of a marginalised posterior from the calculation results. + + Parameters + ---------- + dimension : int + The dimension of the array to marginalise over. + axes : plt.Axes + The Axes object to plot the histogram onto. + + """ + # marginalise to the dimension + # note we don't need to normalise here as np.histogram normalises for us + sum_axes = tuple(i for i in range(0, num_params) if i != dimension) + distribution = np.sum(calc_results.distribution, axis=sum_axes) + + # create histogram + axes.hist( + calc_results.x_data[i], + weights=distribution, + density=True, + bins=25, + edgecolor="black", + linewidth=1.2, + color="white", + ) + + # row 0 contains NS histograms for each parameter + # row 1 contains direct calculation histograms for each parameter + for i in range(0, num_params): + RATplot.plot_one_hist(ns_results, i, smooth=False, axes=axes[0][i]) + plot_marginalised_result(i, axes[1][i]) + axes[1][i].set_xlim(*axes[0][i].get_xlim()) + + axes[0][0].set_ylabel("nested sampler") + axes[1][0].set_ylabel("direct calculation") + + fig.tight_layout() + fig.show() + + +if __name__ == "__main__": + ns_2d, calc_2d = bayes_benchmark_2d(30) + ns_3d, calc_3d = bayes_benchmark_3d(40) + + plot_posterior_comparison(ns_2d, calc_2d) + + plot_posterior_comparison(ns_3d, calc_3d) diff --git a/RATapi/examples/bayes_benchmark/defaultR1ProjectTemplate.mat b/RATapi/examples/bayes_benchmark/defaultR1ProjectTemplate.mat new file mode 100644 index 0000000000000000000000000000000000000000..53538d2659668bed2c2a2d250a4fd90d076ee00b GIT binary patch literal 7655 zcma)>^;Z;bu*MNYq(Mrgk&={dmXt1uWohYN8kUq!0ZHlZ?(SGRrAs>3g{Av?&-eZT zcg}pyGtYa@{5&(~RhH0Hl8~h4W&cdAETPF}VQpv5O08!1&D8?zY%lchO-i1Rhm~5& 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HcmV?d00001 From fedd7a67ad38eb24f2957ca6950213959b7470c7 Mon Sep 17 00:00:00 2001 From: alexhroom Date: Fri, 13 Dec 2024 16:56:12 +0000 Subject: [PATCH 02/10] better direct calculation histograms --- RATapi/examples/bayes_benchmark/bayes_benchmark.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/RATapi/examples/bayes_benchmark/bayes_benchmark.py b/RATapi/examples/bayes_benchmark/bayes_benchmark.py index cde230fb..fe4aa85b 100644 --- a/RATapi/examples/bayes_benchmark/bayes_benchmark.py +++ b/RATapi/examples/bayes_benchmark/bayes_benchmark.py @@ -188,7 +188,7 @@ def plot_posterior_comparison(ns_results: RAT.outputs.BayesResults, calc_results num_params = calc_results.distribution.ndim fig, axes = plt.subplots(2, num_params) - def plot_marginalised_result(dimension: int, axes: plt.Axes): + def plot_marginalised_result(dimension: int, axes: plt.Axes, limits: tuple[float]): """Plot a histogram of a marginalised posterior from the calculation results. Parameters @@ -197,6 +197,8 @@ def plot_marginalised_result(dimension: int, axes: plt.Axes): The dimension of the array to marginalise over. axes : plt.Axes The Axes object to plot the histogram onto. + limits : tuple[float] + The x-axis limits for the histogram. """ # marginalise to the dimension @@ -207,9 +209,10 @@ def plot_marginalised_result(dimension: int, axes: plt.Axes): # create histogram axes.hist( calc_results.x_data[i], + bins=25, + range=limits, weights=distribution, density=True, - bins=25, edgecolor="black", linewidth=1.2, color="white", @@ -219,8 +222,7 @@ def plot_marginalised_result(dimension: int, axes: plt.Axes): # row 1 contains direct calculation histograms for each parameter for i in range(0, num_params): RATplot.plot_one_hist(ns_results, i, smooth=False, axes=axes[0][i]) - plot_marginalised_result(i, axes[1][i]) - axes[1][i].set_xlim(*axes[0][i].get_xlim()) + plot_marginalised_result(i, axes[1][i], limits=axes[0][i].get_xlim()) axes[0][0].set_ylabel("nested sampler") axes[1][0].set_ylabel("direct calculation") @@ -234,5 +236,5 @@ def plot_marginalised_result(dimension: int, axes: plt.Axes): ns_3d, calc_3d = bayes_benchmark_3d(40) plot_posterior_comparison(ns_2d, calc_2d) - + plot_posterior_comparison(ns_3d, calc_3d) From ae0f4953f1a94c86c1b01180fb7d288280c980cd Mon Sep 17 00:00:00 2001 From: alexhroom Date: Fri, 13 Dec 2024 17:15:21 +0000 Subject: [PATCH 03/10] fixed scalefactor in 3d tests, added DREAM, and made histograms prettier --- .../bayes_benchmark/bayes_benchmark.py | 49 ++++++++++++------- 1 file changed, 32 insertions(+), 17 deletions(-) diff --git a/RATapi/examples/bayes_benchmark/bayes_benchmark.py b/RATapi/examples/bayes_benchmark/bayes_benchmark.py index fe4aa85b..db2bfe85 100644 --- a/RATapi/examples/bayes_benchmark/bayes_benchmark.py +++ b/RATapi/examples/bayes_benchmark/bayes_benchmark.py @@ -59,10 +59,12 @@ def bayes_benchmark_2d(grid_size: int) -> (RAT.outputs.BayesResults, Calculation """ problem = RAT.utils.convert.r1_to_project_class(str(PWD / "defaultR1ProjectTemplate.mat")) - ns_controls = RAT.Controls(procedure="ns", calcSldDuringFit=True, nsTolerance=1, nLive=500, display="final") - + ns_controls = RAT.Controls(procedure="ns", nsTolerance=1, nLive=500, display="final") _, ns_results = RAT.run(problem, ns_controls) + dream_controls = RAT.Controls(procedure="dream", display="final") + _, dream_results = RAT.run(problem, dream_controls) + # now we get the parameters and use them to do a direct calculation rough_param = problem.parameters[0] roughness = np.linspace(rough_param.min, rough_param.max, grid_size) @@ -70,7 +72,7 @@ def bayes_benchmark_2d(grid_size: int) -> (RAT.outputs.BayesResults, Calculation back_param = problem.background_parameters[0] background = np.linspace(back_param.min, back_param.max, grid_size) - controls = RAT.Controls(procedure="calculate", calcSldDuringFit=True, display="off") + controls = RAT.Controls(procedure="calculate", display="off") def calculate_posterior(roughness_index: int, background_index: int) -> float: """Calculate the posterior for an item in the roughness and background vectors. @@ -100,7 +102,7 @@ def calculate_posterior(roughness_index: int, background_index: int) -> float: print("Calculating posterior directly...") probability_array = vectorized_calc_posterior(*np.indices((grid_size, grid_size), dtype=int)) - return ns_results, CalculationResults(x_data=[roughness, background], distribution=probability_array) + return ns_results, dream_results, CalculationResults(x_data=[roughness, background], distribution=probability_array) def bayes_benchmark_3d(grid_size: int) -> (RAT.outputs.BayesResults, CalculationResults): @@ -124,11 +126,15 @@ def bayes_benchmark_3d(grid_size: int) -> (RAT.outputs.BayesResults, Calculation """ problem = RAT.utils.convert.r1_to_project_class(str(PWD / "defaultR1ProjectTemplate.mat")) + problem.scalefactors[0].min = 0.07 + problem.scalefactors[0].max = 0.13 - ns_controls = RAT.Controls(procedure="ns", calcSldDuringFit=True, nsTolerance=1, nLive=500, display="final") - + ns_controls = RAT.Controls(procedure="ns", nsTolerance=1, nLive=500, display="final") _, ns_results = RAT.run(problem, ns_controls) + dream_controls = RAT.Controls(procedure="dream", display="final") + _, dream_results = RAT.run(problem, dream_controls) + # now we get the parameters and use them to do a direct calculation rough_param = problem.parameters[0] roughness = np.linspace(rough_param.min, rough_param.max, grid_size) @@ -172,21 +178,29 @@ def calculate_posterior(roughness_index: int, background_index: int, scalefactor print("Calculating posterior directly...") probability_array = vectorized_calc_posterior(*np.indices((grid_size, grid_size, grid_size), dtype=int)) - return ns_results, CalculationResults(x_data=[roughness, background, scalefactor], distribution=probability_array) + return ( + ns_results, + dream_results, + CalculationResults(x_data=[roughness, background, scalefactor], distribution=probability_array), + ) -def plot_posterior_comparison(ns_results: RAT.outputs.BayesResults, calc_results: CalculationResults): +def plot_posterior_comparison( + ns_results: RAT.outputs.BayesResults, dream_results: RAT.outputs.BayesResults, calc_results: CalculationResults +): """Create a grid of marginalised posteriors comparing different calculation methods. Parameters ---------- ns_results : RAT.BayesResults The BayesResults object from a nested sampler calculation. + dream_results : RAT.BayesResults + The BayesResults object from a DREAM calculation. calc_results : CalculationResults The results from a direct calculation. """ num_params = calc_results.distribution.ndim - fig, axes = plt.subplots(2, num_params) + fig, axes = plt.subplots(3, num_params, figsize=(3 * num_params, 9)) def plot_marginalised_result(dimension: int, axes: plt.Axes, limits: tuple[float]): """Plot a histogram of a marginalised posterior from the calculation results. @@ -221,20 +235,21 @@ def plot_marginalised_result(dimension: int, axes: plt.Axes, limits: tuple[float # row 0 contains NS histograms for each parameter # row 1 contains direct calculation histograms for each parameter for i in range(0, num_params): - RATplot.plot_one_hist(ns_results, i, smooth=False, axes=axes[0][i]) - plot_marginalised_result(i, axes[1][i], limits=axes[0][i].get_xlim()) + RATplot.plot_one_hist(ns_results, i, axes=axes[0][i]) + RATplot.plot_one_hist(dream_results, i, axes=axes[1][i]) + plot_marginalised_result(i, axes[2][i], limits=axes[0][i].get_xlim()) axes[0][0].set_ylabel("nested sampler") - axes[1][0].set_ylabel("direct calculation") + axes[1][0].set_ylabel("DREAM") + axes[2][0].set_ylabel("direct calculation") fig.tight_layout() fig.show() if __name__ == "__main__": - ns_2d, calc_2d = bayes_benchmark_2d(30) - ns_3d, calc_3d = bayes_benchmark_3d(40) - - plot_posterior_comparison(ns_2d, calc_2d) + ns_2d, dream_2d, calc_2d = bayes_benchmark_2d(30) + ns_3d, dream_3d, calc_3d = bayes_benchmark_3d(40) - plot_posterior_comparison(ns_3d, calc_3d) + plot_posterior_comparison(ns_2d, dream_2d, calc_2d) + plot_posterior_comparison(ns_3d, dream_3d, calc_3d) From 1b5471ec7e076fa167d8f1a2ca22eb58a31d8517 Mon Sep 17 00:00:00 2001 From: alexhroom Date: Fri, 13 Dec 2024 17:42:07 +0000 Subject: [PATCH 04/10] fixed axes --- RATapi/examples/bayes_benchmark/bayes_benchmark.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/RATapi/examples/bayes_benchmark/bayes_benchmark.py b/RATapi/examples/bayes_benchmark/bayes_benchmark.py index db2bfe85..58f16665 100644 --- a/RATapi/examples/bayes_benchmark/bayes_benchmark.py +++ b/RATapi/examples/bayes_benchmark/bayes_benchmark.py @@ -237,6 +237,8 @@ def plot_marginalised_result(dimension: int, axes: plt.Axes, limits: tuple[float for i in range(0, num_params): RATplot.plot_one_hist(ns_results, i, axes=axes[0][i]) RATplot.plot_one_hist(dream_results, i, axes=axes[1][i]) + # we want all 3 plots to have the same x-axis + axes[1][i].set_xlim(*axes[0][i].get_xlim()) plot_marginalised_result(i, axes[2][i], limits=axes[0][i].get_xlim()) axes[0][0].set_ylabel("nested sampler") From ba65aecebbb3f519619402632043c9ba1992d1f5 Mon Sep 17 00:00:00 2001 From: alexhroom Date: Mon, 16 Dec 2024 08:48:09 +0000 Subject: [PATCH 05/10] script uses new project and added jupyter notebook --- .../bayes_benchmark/bayes_benchmark.ipynb | 3021 +++++++++++++++++ .../bayes_benchmark/bayes_benchmark.py | 112 +- .../defaultR1ProjectTemplate.mat | Bin 7655 -> 0 bytes 3 files changed, 3128 insertions(+), 5 deletions(-) create mode 100644 RATapi/examples/bayes_benchmark/bayes_benchmark.ipynb delete mode 100644 RATapi/examples/bayes_benchmark/defaultR1ProjectTemplate.mat diff --git a/RATapi/examples/bayes_benchmark/bayes_benchmark.ipynb b/RATapi/examples/bayes_benchmark/bayes_benchmark.ipynb new file mode 100644 index 00000000..2deb46bf --- /dev/null +++ b/RATapi/examples/bayes_benchmark/bayes_benchmark.ipynb @@ -0,0 +1,3021 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Bayesian parameter estimation for low-dimensional examples\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The Bayesian procedures available in RAT ([Nested Sampler (NS)](https://en.wikipedia.org/wiki/Nested_sampling_algorithm) and [DREAM](https://doi.org/10.1016/j.envsoft.2015.08.013)) estimate the parameters of our reflectivity model - that is, they find the maximum value of \n", + "$$P((X_1, X_2, ...) = (x_1, x_2, ...) | I)$$\n", + "where $P$ is a probability measure, $X_1, X_2, ...$ are our parameters, $x_1, x_2, ...$ are proposed values of these parameters, and $I$ is our background information on the model (e.g. our data), over a range of values of $x_1, x_2, ...$ between given minimum and maximum values. It can be shown [1] that under some weak assumptions about our data, this probability is proportional to $\\exp(-\\chi^2/2)$, where $\\chi^2$ is the chi-squared measure of fit given by the least-squares solution. \n", + "\n", + "If we want to calculate $\\chi^2$ for a sample of $N$ values between some given minimum and maximum values for each parameter, we would have to perform $N^P$ calculations, where $P$ is the number of parameters. Of course, for large numbers of parameters, this is infeasible, hence why algorithms such as NS and DREAM have been developed to do so more efficiently. However, for a small number of parameters, it is feasible for us to perform this direct calculation and compare it to the results of NS and DREAM. Here we will do so for an example of 2 and 3 parameters.\n", + "\n", + "*[1] D. S. Sivia, J. R. P. Webster,\n", + " \"The Bayesian approach to reflectivity data\",\n", + " Physica B: Condensed Matter,\n", + " Volume 248, June 1998, pages 327-337\n", + " DOI: 10.1016/S0921-4526(98)00259-2\n", + " URL: https://bayes.wustl.edu/sivia/98_20feb03.pdf*" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Two-parameter example\n", + "We will start with a two-dimensional example on a simple project. This project represents a bare D2O substrate, and we will estimate the true values of the substrate roughness and background signal for this project." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/alexhroom/Code/Python/python-RAT/.venv/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "import numpy as np\n", + "\n", + "import RATapi as RAT\n", + "from RATapi.models import Parameter, Background, Resolution, Data, Contrast" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "project = RAT.Project(\n", + " name=\"Bare D2O Substrate\",\n", + " calculation=\"normal\",\n", + " model=\"standard layers\",\n", + " geometry=\"air/substrate\",\n", + " absorption=\"False\",\n", + " parameters=[Parameter(name=\"Substrate Roughness\", min=3.0, value=4.844363132849221, max=8.0, fit=True)],\n", + " background_parameters=[\n", + " Parameter(name=\"Background parameter 1\", min=5e-08, value=3.069003361230152e-06, max=7e-06, fit=True)\n", + " ],\n", + " scalefactors=[Parameter(name=\"Scalefactor 1\", min=0.07, value=0.10141560336360426, max=0.13, fit=True)],\n", + " bulk_in=[Parameter(name=\"Air\", min=0.0, value=0.0, max=0.0, fit=False)],\n", + " bulk_out=[Parameter(name=\"D2O\", min=6.3e-06, value=6.35e-06, max=6.4e-06, fit=False)],\n", + " resolution_parameters=[Parameter(name=\"Resolution parameter 1\", min=0.01, value=0.03, max=0.05, fit=False)],\n", + " backgrounds=[Background(name=\"Background 1\", type=\"constant\", value_1=\"Background parameter 1\")],\n", + " resolutions=[Resolution(name=\"Resolution 1\", type=\"constant\", value_1=\"Resolution parameter 1\")],\n", + " data=[\n", + " Data(name=\"Simulation\", data=np.empty([0, 3]), simulation_range=[0.005, 0.7]),\n", + " Data(\n", + " name=\"f82395c\",\n", + " data=np.array(\n", + " [\n", + " [4.8866e-02, 1.2343e-04, 1.3213e-06],\n", + " [5.1309e-02, 1.0063e-04, 1.0803e-06],\n", + " [5.3874e-02, 8.2165e-05, 8.8779e-07],\n", + " [5.6568e-02, 6.4993e-05, 7.2018e-07],\n", + " [5.9396e-02, 5.3958e-05, 6.0015e-07],\n", + " [6.2366e-02, 4.3590e-05, 5.0129e-07],\n", + " [6.5485e-02, 3.5780e-05, 4.1957e-07],\n", + " [6.8759e-02, 2.9130e-05, 3.5171e-07],\n", + " [7.2197e-02, 2.3481e-05, 3.0586e-07],\n", + " [7.5807e-02, 1.8906e-05, 2.6344e-07],\n", + " [7.9597e-02, 1.4642e-05, 2.2314e-07],\n", + " [8.3577e-02, 1.1589e-05, 1.8938e-07],\n", + " [8.7756e-02, 9.5418e-06, 1.6220e-07],\n", + " [9.2143e-02, 7.5694e-06, 1.3809e-07],\n", + " [9.6751e-02, 6.3831e-06, 1.2097e-07],\n", + " [1.0159e-01, 5.0708e-06, 1.0333e-07],\n", + " [1.0667e-01, 4.1041e-06, 8.9548e-08],\n", + " [1.1200e-01, 3.4253e-06, 7.9830e-08],\n", + " [1.1760e-01, 2.8116e-06, 7.1554e-08],\n", + " [1.2348e-01, 2.3767e-06, 6.3738e-08],\n", + " [1.2966e-01, 1.9241e-06, 5.6586e-08],\n", + " [1.3614e-01, 1.5642e-06, 5.2778e-08],\n", + " [1.4294e-01, 1.2922e-06, 4.9730e-08],\n", + " [1.5009e-01, 1.1694e-06, 5.1175e-08],\n", + " [1.5760e-01, 9.7837e-07, 5.0755e-08],\n", + " [1.6548e-01, 8.9138e-07, 5.3542e-08],\n", + " [1.7375e-01, 7.9420e-07, 5.4857e-08],\n", + " [1.8244e-01, 7.9131e-07, 5.8067e-08],\n", + " [1.9156e-01, 6.5358e-07, 5.7717e-08],\n", + " [2.0114e-01, 6.2970e-07, 5.7951e-08],\n", + " [2.1119e-01, 5.0130e-07, 5.5262e-08],\n", + " [2.2175e-01, 5.0218e-07, 5.6461e-08],\n", + " [2.3284e-01, 3.9299e-07, 5.0685e-08],\n", + " [2.4448e-01, 3.5324e-07, 5.0194e-08],\n", + " [2.5671e-01, 4.4475e-07, 5.6485e-08],\n", + " [2.6954e-01, 5.1338e-07, 6.2247e-08],\n", + " [2.8302e-01, 3.4918e-07, 4.9745e-08],\n", + " [2.9717e-01, 4.3037e-07, 5.5488e-08],\n", + " [3.1203e-01, 4.0099e-07, 5.3591e-08],\n", + " [3.2763e-01, 3.8397e-07, 5.1303e-08],\n", + " [3.4401e-01, 3.0995e-07, 4.5965e-08],\n", + " [3.6121e-01, 3.9357e-07, 5.0135e-08],\n", + " [3.7927e-01, 3.0997e-07, 4.3680e-08],\n", + " [3.9824e-01, 2.9656e-07, 4.2432e-08],\n", + " [4.1815e-01, 2.1909e-07, 3.6117e-08],\n", + " [4.3906e-01, 2.3153e-07, 3.6307e-08],\n", + " [4.6101e-01, 3.3428e-07, 4.3874e-08],\n", + " [4.8406e-01, 2.3441e-07, 3.7488e-08],\n", + " [5.0826e-01, 1.5496e-07, 3.0585e-08],\n", + " [5.3368e-01, 2.4708e-07, 3.9376e-08],\n", + " [5.6036e-01, 2.2157e-07, 3.8258e-08],\n", + " [5.8838e-01, 2.2798e-07, 4.6976e-08],\n", + " [6.1169e-01, 6.0272e-07, 2.3239e-07],\n", + " ]\n", + " ),\n", + " data_range=[0.048866, 0.61169],\n", + " simulation_range=[0.048866, 0.61169],\n", + " ),\n", + " ],\n", + " contrasts=[\n", + " Contrast(\n", + " name=\"Chain-d, acmw\",\n", + " data=\"f82395c\",\n", + " background=\"Background 1\",\n", + " background_action=\"add\",\n", + " bulk_in=\"Air\",\n", + " bulk_out=\"D2O\",\n", + " scalefactor=\"Scalefactor 1\",\n", + " resolution=\"Resolution 1\",\n", + " resample=False,\n", + " model=[],\n", + " )\n", + " ],\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Firstly, we will run calculations using nested sampling and DREAM." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Starting RAT ───────────────────────────────────────────────────────────────────────────────────────────────────────────\n", + "\n", + "\n", + "Running Nested Sampler\n", + "\n", + "log(Z): -2.30424e+02, tol = 2.28133e+02, K = 1, iteration = 1, H = -nan\n", + "log(Z): -2.00751e+02, tol = 1.98458e+02, K = 1, iteration = 2, H = 6.21761e+00\n", + "log(Z): -1.99120e+02, tol = 1.96825e+02, K = 1, iteration = 3, H = 5.72488e+00\n", + "log(Z): -1.84553e+02, tol = 1.82257e+02, K = 1, iteration = 4, H = 6.22160e+00\n", + "log(Z): -1.68666e+02, tol = 1.66367e+02, K = 1, iteration = 5, H = 6.22361e+00\n", + "log(Z): -1.64965e+02, tol = 1.62665e+02, K = 1, iteration = 6, H = 6.10972e+00\n", + "log(Z): -1.63574e+02, tol = 1.61271e+02, K = 1, iteration = 7, H = 5.63745e+00\n", + "log(Z): -1.61745e+02, tol = 1.59440e+02, K = 1, iteration = 8, H = 5.69391e+00\n", + "log(Z): -1.60804e+02, tol = 1.58498e+02, K = 1, iteration = 9, H = 5.35260e+00\n", + "log(Z): -1.60238e+02, tol = 1.57930e+02, K = 1, iteration = 10, H = 5.04944e+00\n", + "log(Z): -1.59842e+02, tol = 1.57531e+02, K = 1, iteration = 11, H = 4.80548e+00\n", + "log(Z): -1.59394e+02, tol = 1.57081e+02, K = 1, iteration = 12, H = 4.66853e+00\n", + "log(Z): -1.58633e+02, tol = 1.56319e+02, K = 1, iteration = 13, H = 4.81408e+00\n", + "log(Z): -1.54353e+02, tol = 1.52036e+02, K = 1, iteration = 14, H = 6.14890e+00\n", + "log(Z): -1.47541e+02, tol = 1.45223e+02, K = 1, iteration = 15, H = 6.23490e+00\n", + "log(Z): -1.46166e+02, tol = 1.43846e+02, K = 1, iteration = 16, H = 5.67745e+00\n", + "log(Z): -1.41422e+02, tol = 1.39100e+02, K = 1, iteration = 17, H = 6.19269e+00\n", + "log(Z): -1.39918e+02, tol = 1.37594e+02, K = 1, iteration = 18, H = 5.70721e+00\n", + "log(Z): -1.39243e+02, tol = 1.36916e+02, K = 1, iteration = 19, H = 5.28167e+00\n", + "log(Z): -1.37119e+02, tol = 1.34791e+02, K = 1, iteration = 20, H = 5.77105e+00\n", + "log(Z): -1.36370e+02, tol = 1.34039e+02, K = 1, iteration = 21, H = 5.33494e+00\n", + "log(Z): -1.35807e+02, tol = 1.33475e+02, K = 1, iteration = 22, H = 5.04856e+00\n", + "log(Z): -1.33886e+02, tol = 1.31552e+02, K = 1, iteration = 23, H = 5.66576e+00\n", + "log(Z): -1.30532e+02, tol = 1.28195e+02, K = 1, iteration = 24, H = 6.08930e+00\n", + "log(Z): -1.29570e+02, tol = 1.27231e+02, K = 1, iteration = 25, H = 5.53189e+00\n", + "log(Z): -1.28902e+02, tol = 1.26561e+02, K = 1, iteration = 26, H = 5.19663e+00\n", + "log(Z): -1.28474e+02, tol = 1.26131e+02, K = 1, iteration = 27, H = 4.92318e+00\n", + "log(Z): -1.25618e+02, tol = 1.23273e+02, K = 1, iteration = 28, H = 5.97217e+00\n", + "log(Z): -1.24461e+02, tol = 1.22114e+02, K = 1, iteration = 29, H = 5.55495e+00\n", + "log(Z): -1.23825e+02, tol = 1.21477e+02, K = 1, iteration = 30, H = 5.20149e+00\n", + "log(Z): -1.23287e+02, tol = 1.20936e+02, K = 1, iteration = 31, H = 4.96971e+00\n", + "log(Z): -1.21873e+02, tol = 1.19520e+02, K = 1, iteration = 32, H = 5.40480e+00\n", + "log(Z): -1.21289e+02, tol = 1.18935e+02, K = 1, iteration = 33, H = 5.10513e+00\n", + "log(Z): -1.20782e+02, tol = 1.18425e+02, K = 1, iteration = 34, H = 4.90116e+00\n", + "log(Z): -1.20415e+02, tol = 1.18056e+02, K = 1, iteration = 35, H = 4.70914e+00\n", + "log(Z): -1.19022e+02, tol = 1.16662e+02, K = 1, iteration = 36, H = 5.33298e+00\n", + "log(Z): -1.17381e+02, tol = 1.15019e+02, K = 1, iteration = 37, H = 5.61097e+00\n", + "log(Z): -1.16451e+02, tol = 1.14086e+02, K = 1, iteration = 38, H = 5.35128e+00\n", + "log(Z): -1.15053e+02, tol = 1.12686e+02, K = 1, iteration = 39, H = 5.50028e+00\n", + "log(Z): -1.14073e+02, tol = 1.11704e+02, K = 1, iteration = 40, H = 5.33414e+00\n", + "log(Z): -1.13450e+02, tol = 1.11079e+02, K = 1, iteration = 41, H = 5.08950e+00\n", + "log(Z): -1.12765e+02, tol = 1.10392e+02, K = 1, iteration = 42, H = 4.99546e+00\n", + "log(Z): -1.12201e+02, tol = 1.09826e+02, K = 1, iteration = 43, H = 4.87408e+00\n", + "log(Z): -1.11795e+02, tol = 1.09418e+02, K = 1, iteration = 44, H = 4.71353e+00\n", + "log(Z): -1.11414e+02, tol = 1.09035e+02, K = 1, iteration = 45, H = 4.59296e+00\n", + "log(Z): -1.10573e+02, tol = 1.08192e+02, K = 1, iteration = 46, H = 4.88338e+00\n", + "log(Z): -1.10059e+02, tol = 1.07676e+02, K = 1, iteration = 47, H = 4.78199e+00\n", + "log(Z): -1.09651e+02, tol = 1.07266e+02, K = 1, iteration = 48, H = 4.65604e+00\n", + "log(Z): -1.09273e+02, tol = 1.06887e+02, K = 1, iteration = 49, H = 4.55389e+00\n", + "log(Z): -1.08399e+02, tol = 1.06011e+02, K = 1, iteration = 50, H = 4.89990e+00\n", + "log(Z): -1.07684e+02, tol = 1.05293e+02, K = 1, iteration = 51, H = 4.93078e+00\n", + "log(Z): -1.07246e+02, tol = 1.04853e+02, K = 1, iteration = 52, H = 4.77233e+00\n", + "log(Z): -1.06809e+02, tol = 1.04414e+02, K = 1, iteration = 53, H = 4.67025e+00\n", + "log(Z): -1.03755e+02, tol = 1.01359e+02, K = 1, iteration = 54, H = 6.05348e+00\n", + "log(Z): -1.03065e+02, tol = 1.00666e+02, K = 1, iteration = 55, H = 5.49504e+00\n", + "log(Z): -1.02074e+02, tol = 9.96737e+01, K = 1, iteration = 56, H = 5.35741e+00\n", + "log(Z): -1.01564e+02, tol = 9.91619e+01, K = 1, iteration = 57, H = 5.07211e+00\n", + "log(Z): -1.01153e+02, tol = 9.87481e+01, K = 1, iteration = 58, H = 4.85717e+00\n", + "log(Z): -1.00826e+02, tol = 9.84193e+01, K = 1, iteration = 59, H = 4.67643e+00\n", + "log(Z): -1.00446e+02, tol = 9.80372e+01, K = 1, iteration = 60, H = 4.57643e+00\n", + "log(Z): -9.96954e+01, tol = 9.72848e+01, K = 1, iteration = 61, H = 4.81337e+00\n", + "log(Z): -9.88741e+01, tol = 9.64615e+01, K = 1, iteration = 62, H = 4.98127e+00\n", + "log(Z): -9.82976e+01, tol = 9.58831e+01, K = 1, iteration = 63, H = 4.89092e+00\n", + "log(Z): -9.74959e+01, tol = 9.50794e+01, K = 1, iteration = 64, H = 5.00303e+00\n", + "log(Z): -9.70233e+01, tol = 9.46047e+01, K = 1, iteration = 65, H = 4.84556e+00\n", + "log(Z): -9.66697e+01, tol = 9.42491e+01, K = 1, iteration = 66, H = 4.68330e+00\n", + "log(Z): -9.61279e+01, tol = 9.37053e+01, K = 1, iteration = 67, H = 4.69975e+00\n", + "log(Z): -9.57581e+01, tol = 9.33335e+01, K = 1, iteration = 68, H = 4.59135e+00\n", + "log(Z): -9.54402e+01, tol = 9.30136e+01, K = 1, iteration = 69, H = 4.48517e+00\n", + "log(Z): -9.51677e+01, tol = 9.27392e+01, K = 1, iteration = 70, H = 4.38145e+00\n", + "log(Z): -9.49500e+01, tol = 9.25194e+01, K = 1, iteration = 71, H = 4.27340e+00\n", + "log(Z): -9.46451e+01, tol = 9.22125e+01, K = 1, iteration = 72, H = 4.24518e+00\n", + "log(Z): -9.40885e+01, tol = 9.16539e+01, K = 1, iteration = 73, H = 4.46527e+00\n", + "log(Z): -9.36623e+01, tol = 9.12257e+01, K = 1, iteration = 74, H = 4.47775e+00\n", + "log(Z): -9.32702e+01, tol = 9.08316e+01, K = 1, iteration = 75, H = 4.45932e+00\n", + "log(Z): -9.26489e+01, tol = 9.02084e+01, K = 1, iteration = 76, H = 4.65108e+00\n", + "log(Z): -9.21256e+01, tol = 8.96830e+01, K = 1, iteration = 77, H = 4.67457e+00\n", + "log(Z): -9.17812e+01, tol = 8.93366e+01, K = 1, iteration = 78, H = 4.56505e+00\n", + "log(Z): -9.14753e+01, tol = 8.90288e+01, K = 1, iteration = 79, H = 4.46441e+00\n", + "log(Z): -9.12265e+01, tol = 8.87779e+01, K = 1, iteration = 80, H = 4.35774e+00\n", + "log(Z): -9.09808e+01, tol = 8.85302e+01, K = 1, iteration = 81, H = 4.27314e+00\n", + "log(Z): -9.05892e+01, tol = 8.81366e+01, K = 1, iteration = 82, H = 4.32518e+00\n", + "log(Z): -9.01870e+01, tol = 8.77324e+01, K = 1, iteration = 83, H = 4.37050e+00\n", + "log(Z): -8.98798e+01, tol = 8.74233e+01, K = 1, iteration = 84, H = 4.32470e+00\n", + "log(Z): -8.94732e+01, tol = 8.70146e+01, K = 1, iteration = 85, H = 4.37559e+00\n", + "log(Z): -8.90934e+01, tol = 8.66329e+01, K = 1, iteration = 86, H = 4.38686e+00\n", + "log(Z): -8.88034e+01, tol = 8.63408e+01, K = 1, iteration = 87, H = 4.32632e+00\n", + "log(Z): -8.85558e+01, tol = 8.60912e+01, K = 1, iteration = 88, H = 4.25282e+00\n", + "log(Z): -8.83338e+01, tol = 8.58672e+01, K = 1, iteration = 89, H = 4.17948e+00\n", + "log(Z): -8.81348e+01, tol = 8.56662e+01, K = 1, iteration = 90, H = 4.10693e+00\n", + "log(Z): -8.79543e+01, tol = 8.54838e+01, K = 1, iteration = 91, H = 4.03678e+00\n", + "log(Z): -8.73599e+01, tol = 8.48873e+01, K = 1, iteration = 92, H = 4.40697e+00\n", + "log(Z): -8.61407e+01, tol = 8.36661e+01, K = 1, iteration = 93, H = 5.20388e+00\n", + "log(Z): -8.56038e+01, tol = 8.31272e+01, K = 1, iteration = 94, H = 5.02269e+00\n", + "log(Z): -8.50794e+01, tol = 8.26008e+01, K = 1, iteration = 95, H = 4.91007e+00\n", + "log(Z): -8.46723e+01, tol = 8.21917e+01, K = 1, iteration = 96, H = 4.77295e+00\n", + "log(Z): -8.43772e+01, tol = 8.18947e+01, K = 1, iteration = 97, H = 4.62231e+00\n", + "log(Z): -8.41491e+01, tol = 8.16645e+01, K = 1, iteration = 98, H = 4.48102e+00\n", + "log(Z): -8.39161e+01, tol = 8.14295e+01, K = 1, iteration = 99, H = 4.37120e+00\n", + "log(Z): -8.37127e+01, tol = 8.12241e+01, K = 1, iteration = 100, H = 4.26961e+00\n", + "log(Z): -8.35280e+01, tol = 8.10374e+01, K = 1, iteration = 101, H = 4.17780e+00\n", + "log(Z): -8.33303e+01, tol = 8.08378e+01, K = 1, iteration = 102, H = 4.10910e+00\n", + "log(Z): -8.31245e+01, tol = 8.06299e+01, K = 1, iteration = 103, H = 4.05854e+00\n", + "log(Z): -8.29213e+01, tol = 8.04247e+01, K = 1, iteration = 104, H = 4.01583e+00\n", + "log(Z): -8.27326e+01, tol = 8.02341e+01, K = 1, iteration = 105, H = 3.97085e+00\n", + "log(Z): -8.24334e+01, tol = 7.99328e+01, K = 1, iteration = 106, H = 4.03408e+00\n", + "log(Z): -8.22031e+01, tol = 7.97005e+01, K = 1, iteration = 107, H = 4.01824e+00\n", + "log(Z): -8.20100e+01, tol = 7.95054e+01, K = 1, iteration = 108, H = 3.97703e+00\n", + "log(Z): -8.18095e+01, tol = 7.93029e+01, K = 1, iteration = 109, H = 3.94904e+00\n", + "log(Z): -8.16021e+01, tol = 7.90935e+01, K = 1, iteration = 110, H = 3.93211e+00\n", + "log(Z): -8.13637e+01, tol = 7.88531e+01, K = 1, iteration = 111, H = 3.94638e+00\n", + "log(Z): -8.11291e+01, tol = 7.86165e+01, K = 1, iteration = 112, H = 3.95459e+00\n", + "log(Z): -8.06965e+01, tol = 7.81819e+01, K = 1, iteration = 113, H = 4.17909e+00\n", + "log(Z): -8.03318e+01, tol = 7.78152e+01, K = 1, iteration = 114, H = 4.25499e+00\n", + "log(Z): -8.00567e+01, tol = 7.75381e+01, K = 1, iteration = 115, H = 4.22967e+00\n", + "log(Z): -7.94020e+01, tol = 7.68814e+01, K = 1, iteration = 116, H = 4.60181e+00\n", + "log(Z): -7.89170e+01, tol = 7.63944e+01, K = 1, iteration = 117, H = 4.64506e+00\n", + "log(Z): -7.81255e+01, tol = 7.56009e+01, K = 1, iteration = 118, H = 4.94309e+00\n", + "log(Z): -7.76379e+01, tol = 7.51113e+01, K = 1, iteration = 119, H = 4.85837e+00\n", + "log(Z): -7.73032e+01, tol = 7.47746e+01, K = 1, iteration = 120, H = 4.71501e+00\n", + "log(Z): -7.69603e+01, tol = 7.44297e+01, K = 1, iteration = 121, H = 4.61789e+00\n", + "log(Z): -7.65673e+01, tol = 7.40347e+01, K = 1, iteration = 122, H = 4.58517e+00\n", + "log(Z): -7.62228e+01, tol = 7.36882e+01, K = 1, iteration = 123, H = 4.52801e+00\n", + "log(Z): -7.59327e+01, tol = 7.33962e+01, K = 1, iteration = 124, H = 4.45055e+00\n", + "log(Z): -7.55713e+01, tol = 7.30327e+01, K = 1, iteration = 125, H = 4.44755e+00\n", + "log(Z): -7.50891e+01, tol = 7.25485e+01, K = 1, iteration = 126, H = 4.55423e+00\n", + "log(Z): -7.47176e+01, tol = 7.21750e+01, K = 1, iteration = 127, H = 4.52862e+00\n", + "log(Z): -7.44442e+01, tol = 7.18997e+01, K = 1, iteration = 128, H = 4.44275e+00\n", + "log(Z): -7.41586e+01, tol = 7.16120e+01, K = 1, iteration = 129, H = 4.38619e+00\n", + "log(Z): -7.39124e+01, tol = 7.13638e+01, K = 1, iteration = 130, H = 4.31707e+00\n", + "log(Z): -7.36583e+01, tol = 7.11078e+01, K = 1, iteration = 131, H = 4.26900e+00\n", + "log(Z): -7.33785e+01, tol = 7.08259e+01, K = 1, iteration = 132, H = 4.25239e+00\n", + "log(Z): -7.31238e+01, tol = 7.05692e+01, K = 1, iteration = 133, H = 4.22018e+00\n", + "log(Z): -7.29175e+01, tol = 7.03610e+01, K = 1, iteration = 134, H = 4.16073e+00\n", + "log(Z): -7.27305e+01, tol = 7.01719e+01, K = 1, iteration = 135, H = 4.10018e+00\n", + "log(Z): -7.25263e+01, tol = 6.99657e+01, K = 1, iteration = 136, H = 4.06231e+00\n", + "log(Z): -7.21861e+01, tol = 6.96235e+01, K = 1, iteration = 137, H = 4.16105e+00\n", + "log(Z): -7.18636e+01, tol = 6.92990e+01, K = 1, iteration = 138, H = 4.21411e+00\n", + "log(Z): -7.16160e+01, tol = 6.90495e+01, K = 1, iteration = 139, H = 4.18753e+00\n", + "log(Z): -7.14176e+01, tol = 6.88490e+01, K = 1, iteration = 140, H = 4.13125e+00\n", + "log(Z): -7.12261e+01, tol = 6.86555e+01, K = 1, iteration = 141, H = 4.08066e+00\n", + "log(Z): -7.10559e+01, tol = 6.84833e+01, K = 1, iteration = 142, H = 4.02511e+00\n", + "log(Z): -7.09033e+01, tol = 6.83287e+01, K = 1, iteration = 143, H = 3.96760e+00\n", + "log(Z): -7.07391e+01, tol = 6.81625e+01, K = 1, iteration = 144, H = 3.92612e+00\n", + "log(Z): -7.05981e+01, tol = 6.80196e+01, K = 1, iteration = 145, H = 3.87582e+00\n", + "log(Z): -7.04650e+01, tol = 6.78844e+01, K = 1, iteration = 146, H = 3.82753e+00\n", + "log(Z): -7.02578e+01, tol = 6.76752e+01, K = 1, iteration = 147, H = 3.84707e+00\n", + "log(Z): -7.00777e+01, tol = 6.74931e+01, K = 1, iteration = 148, H = 3.83834e+00\n", + "log(Z): -6.99231e+01, tol = 6.73365e+01, K = 1, iteration = 149, H = 3.81045e+00\n", + "log(Z): -6.97701e+01, tol = 6.71816e+01, K = 1, iteration = 150, H = 3.78556e+00\n", + "log(Z): -6.95333e+01, tol = 6.69428e+01, K = 1, iteration = 151, H = 3.84612e+00\n", + "log(Z): -6.92806e+01, tol = 6.66881e+01, K = 1, iteration = 152, H = 3.91161e+00\n", + "log(Z): -6.90574e+01, tol = 6.64628e+01, K = 1, iteration = 153, H = 3.93287e+00\n", + "log(Z): -6.88500e+01, tol = 6.62535e+01, K = 1, iteration = 154, H = 3.93544e+00\n", + "log(Z): -6.86565e+01, tol = 6.60579e+01, K = 1, iteration = 155, H = 3.92563e+00\n", + "log(Z): -6.84825e+01, tol = 6.58820e+01, K = 1, iteration = 156, H = 3.90166e+00\n", + "log(Z): -6.83340e+01, tol = 6.57315e+01, K = 1, iteration = 157, H = 3.86274e+00\n", + "log(Z): -6.82020e+01, tol = 6.55974e+01, K = 1, iteration = 158, H = 3.81839e+00\n", + "log(Z): -6.80814e+01, tol = 6.54748e+01, K = 1, iteration = 159, H = 3.77263e+00\n", + "log(Z): -6.79457e+01, tol = 6.53371e+01, K = 1, iteration = 160, H = 3.74256e+00\n", + "log(Z): -6.78123e+01, tol = 6.52018e+01, K = 1, iteration = 161, H = 3.71480e+00\n", + "log(Z): -6.76700e+01, tol = 6.50574e+01, K = 1, iteration = 162, H = 3.69785e+00\n", + "log(Z): -6.72369e+01, tol = 6.46223e+01, K = 1, iteration = 163, H = 4.04844e+00\n", + "log(Z): -6.67666e+01, tol = 6.41500e+01, K = 1, iteration = 164, H = 4.32212e+00\n", + "log(Z): -6.63512e+01, tol = 6.37326e+01, K = 1, iteration = 165, H = 4.43627e+00\n", + "log(Z): -6.57669e+01, tol = 6.31463e+01, K = 1, iteration = 166, H = 4.68320e+00\n", + "log(Z): -6.53886e+01, tol = 6.27660e+01, K = 1, iteration = 167, H = 4.64742e+00\n", + "log(Z): -6.51082e+01, tol = 6.24836e+01, K = 1, iteration = 168, H = 4.55626e+00\n", + "log(Z): -6.48229e+01, tol = 6.21963e+01, K = 1, iteration = 169, H = 4.49118e+00\n", + "log(Z): -6.45841e+01, tol = 6.19555e+01, K = 1, iteration = 170, H = 4.41213e+00\n", + "log(Z): -6.42743e+01, tol = 6.16438e+01, K = 1, iteration = 171, H = 4.40351e+00\n", + "log(Z): -6.39697e+01, tol = 6.13372e+01, K = 1, iteration = 172, H = 4.39340e+00\n", + "log(Z): -6.36793e+01, tol = 6.10448e+01, K = 1, iteration = 173, H = 4.37480e+00\n", + "log(Z): -6.34370e+01, tol = 6.08005e+01, K = 1, iteration = 174, H = 4.32461e+00\n", + "log(Z): -6.32097e+01, tol = 6.05711e+01, K = 1, iteration = 175, H = 4.27490e+00\n", + "log(Z): -6.29386e+01, tol = 6.02980e+01, K = 1, iteration = 176, H = 4.27074e+00\n", + "log(Z): -6.27230e+01, tol = 6.00805e+01, K = 1, iteration = 177, H = 4.22427e+00\n", + "log(Z): -6.24934e+01, tol = 5.98488e+01, K = 1, iteration = 178, H = 4.19797e+00\n", + "log(Z): -6.22734e+01, tol = 5.96268e+01, K = 1, iteration = 179, H = 4.16984e+00\n", + "log(Z): -6.20775e+01, tol = 5.94289e+01, K = 1, iteration = 180, H = 4.12927e+00\n", + "log(Z): -6.18294e+01, tol = 5.91788e+01, K = 1, iteration = 181, H = 4.14027e+00\n", + "log(Z): -6.15695e+01, tol = 5.89169e+01, K = 1, iteration = 182, H = 4.16017e+00\n", + "log(Z): -6.13352e+01, tol = 5.86806e+01, K = 1, iteration = 183, H = 4.15307e+00\n", + "log(Z): -6.11220e+01, tol = 5.84655e+01, K = 1, iteration = 184, H = 4.13020e+00\n", + "log(Z): -6.09440e+01, tol = 5.82854e+01, K = 1, iteration = 185, H = 4.08557e+00\n", + "log(Z): -6.07918e+01, tol = 5.81312e+01, K = 1, iteration = 186, H = 4.03142e+00\n", + "log(Z): -6.05189e+01, tol = 5.78563e+01, K = 1, iteration = 187, H = 4.09221e+00\n", + "log(Z): -6.02217e+01, tol = 5.75571e+01, K = 1, iteration = 188, H = 4.16430e+00\n", + "log(Z): -5.99650e+01, tol = 5.72984e+01, K = 1, iteration = 189, H = 4.17895e+00\n", + "log(Z): -5.97373e+01, tol = 5.70687e+01, K = 1, iteration = 190, H = 4.16525e+00\n", + "log(Z): -5.95506e+01, tol = 5.68800e+01, K = 1, iteration = 191, H = 4.12281e+00\n", + "log(Z): -5.93926e+01, tol = 5.67201e+01, K = 1, iteration = 192, H = 4.06848e+00\n", + "log(Z): 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K = 1, iteration = 204, H = 4.30546e+00\n", + "log(Z): -5.56951e+01, tol = 5.29965e+01, K = 1, iteration = 205, H = 4.28566e+00\n", + "log(Z): -5.54921e+01, tol = 5.27916e+01, K = 1, iteration = 206, H = 4.23851e+00\n", + "log(Z): -5.53209e+01, tol = 5.26183e+01, K = 1, iteration = 207, H = 4.17923e+00\n", + "log(Z): -5.51594e+01, tol = 5.24549e+01, K = 1, iteration = 208, H = 4.12342e+00\n", + "log(Z): -5.50091e+01, tol = 5.23025e+01, K = 1, iteration = 209, H = 4.06934e+00\n", + "log(Z): -5.48733e+01, tol = 5.21648e+01, K = 1, iteration = 210, H = 4.01431e+00\n", + "log(Z): -5.47511e+01, tol = 5.20405e+01, K = 1, iteration = 211, H = 3.95894e+00\n", + "log(Z): -5.46375e+01, tol = 5.19249e+01, K = 1, iteration = 212, H = 3.90559e+00\n", + "log(Z): -5.45046e+01, tol = 5.17900e+01, K = 1, iteration = 213, H = 3.87015e+00\n", + "log(Z): -5.43807e+01, tol = 5.16641e+01, K = 1, iteration = 214, H = 3.83315e+00\n", + "log(Z): -5.42700e+01, tol = 5.15514e+01, K = 1, iteration = 215, H = 3.79217e+00\n", + "log(Z): -5.41540e+01, tol = 5.14334e+01, K = 1, iteration = 216, H = 3.75918e+00\n", + "log(Z): -5.39229e+01, tol = 5.12003e+01, K = 1, iteration = 217, H = 3.84606e+00\n", + "log(Z): -5.37160e+01, tol = 5.09915e+01, K = 1, iteration = 218, H = 3.88832e+00\n", + "log(Z): -5.35056e+01, tol = 5.07790e+01, K = 1, iteration = 219, H = 3.92683e+00\n", + "log(Z): -5.33319e+01, tol = 5.06033e+01, K = 1, iteration = 220, H = 3.92289e+00\n", + "log(Z): -5.30895e+01, tol = 5.03589e+01, K = 1, iteration = 221, H = 3.99029e+00\n", + "log(Z): -5.28881e+01, tol = 5.01556e+01, K = 1, iteration = 222, H = 4.00175e+00\n", + "log(Z): -5.26782e+01, tol = 4.99436e+01, K = 1, iteration = 223, H = 4.01979e+00\n", + "log(Z): -5.24845e+01, tol = 4.97479e+01, K = 1, iteration = 224, H = 4.01954e+00\n", + "log(Z): -5.22853e+01, tol = 4.95467e+01, K = 1, iteration = 225, H = 4.02477e+00\n", + "log(Z): -5.20959e+01, tol = 4.93553e+01, K = 1, iteration = 226, H = 4.02051e+00\n", + "log(Z): 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K = 1, iteration = 238, H = 3.81701e+00\n", + "log(Z): -5.00960e+01, tol = 4.73294e+01, K = 1, iteration = 239, H = 3.79959e+00\n", + "log(Z): -4.99561e+01, tol = 4.71875e+01, K = 1, iteration = 240, H = 3.78997e+00\n", + "log(Z): -4.98137e+01, tol = 4.70431e+01, K = 1, iteration = 241, H = 3.78409e+00\n", + "log(Z): -4.96720e+01, tol = 4.68994e+01, K = 1, iteration = 242, H = 3.77862e+00\n", + "log(Z): -4.94214e+01, tol = 4.66469e+01, K = 1, iteration = 243, H = 3.89702e+00\n", + "log(Z): -4.92133e+01, tol = 4.64367e+01, K = 1, iteration = 244, H = 3.94083e+00\n", + "log(Z): -4.90143e+01, tol = 4.62357e+01, K = 1, iteration = 245, H = 3.96731e+00\n", + "log(Z): -4.88266e+01, tol = 4.60461e+01, K = 1, iteration = 246, H = 3.97823e+00\n", + "log(Z): -4.86599e+01, tol = 4.58774e+01, K = 1, iteration = 247, H = 3.96850e+00\n", + "log(Z): -4.85068e+01, tol = 4.57222e+01, K = 1, iteration = 248, H = 3.94913e+00\n", + "log(Z): -4.83555e+01, tol = 4.55689e+01, K = 1, iteration = 249, H = 3.93134e+00\n", + "log(Z): -4.82013e+01, tol = 4.54128e+01, K = 1, iteration = 250, H = 3.91869e+00\n", + "log(Z): -4.80663e+01, tol = 4.52757e+01, K = 1, iteration = 251, H = 3.89264e+00\n", + "log(Z): -4.79291e+01, tol = 4.51365e+01, K = 1, iteration = 252, H = 3.87187e+00\n", + "log(Z): -4.77667e+01, tol = 4.49721e+01, K = 1, iteration = 253, H = 3.87621e+00\n", + "log(Z): -4.76186e+01, tol = 4.48221e+01, K = 1, iteration = 254, H = 3.86719e+00\n", + "log(Z): -4.74601e+01, tol = 4.46615e+01, K = 1, iteration = 255, H = 3.86916e+00\n", + "log(Z): -4.73216e+01, tol = 4.45210e+01, K = 1, iteration = 256, H = 3.85349e+00\n", + "log(Z): -4.71957e+01, tol = 4.43932e+01, K = 1, iteration = 257, H = 3.82994e+00\n", + "log(Z): -4.70687e+01, tol = 4.42642e+01, K = 1, iteration = 258, H = 3.81032e+00\n", + "log(Z): -4.69325e+01, tol = 4.41259e+01, K = 1, iteration = 259, H = 3.80106e+00\n", + "log(Z): -4.68122e+01, tol = 4.40036e+01, K = 1, iteration = 260, H = 3.78000e+00\n", + "log(Z): 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K = 1, iteration = 272, H = 3.56247e+00\n", + "log(Z): -4.54610e+01, tol = 4.26264e+01, K = 1, iteration = 273, H = 3.55778e+00\n", + "log(Z): -4.53648e+01, tol = 4.25282e+01, K = 1, iteration = 274, H = 3.54514e+00\n", + "log(Z): -4.52756e+01, tol = 4.24370e+01, K = 1, iteration = 275, H = 3.52819e+00\n", + "log(Z): -4.51800e+01, tol = 4.23395e+01, K = 1, iteration = 276, H = 3.51807e+00\n", + "log(Z): -4.50928e+01, tol = 4.22503e+01, K = 1, iteration = 277, H = 3.50217e+00\n", + "log(Z): -4.49889e+01, tol = 4.21443e+01, K = 1, iteration = 278, H = 3.50252e+00\n", + "log(Z): -4.48906e+01, tol = 4.20440e+01, K = 1, iteration = 279, H = 3.49773e+00\n", + "log(Z): -4.47954e+01, tol = 4.19468e+01, K = 1, iteration = 280, H = 3.49076e+00\n", + "log(Z): -4.46707e+01, tol = 4.18201e+01, K = 1, iteration = 281, H = 3.51451e+00\n", + "log(Z): -4.45546e+01, tol = 4.17021e+01, K = 1, iteration = 282, H = 3.52643e+00\n", + "log(Z): -4.44480e+01, tol = 4.15934e+01, K = 1, iteration = 283, H = 3.52793e+00\n", + "log(Z): -4.43401e+01, tol = 4.14835e+01, K = 1, iteration = 284, H = 3.53061e+00\n", + "log(Z): -4.42258e+01, tol = 4.13673e+01, K = 1, iteration = 285, H = 3.53960e+00\n", + "log(Z): -4.40966e+01, tol = 4.12360e+01, K = 1, iteration = 286, H = 3.56376e+00\n", + "log(Z): -4.39816e+01, tol = 4.11190e+01, K = 1, iteration = 287, H = 3.57033e+00\n", + "log(Z): -4.38719e+01, tol = 4.10074e+01, K = 1, iteration = 288, H = 3.57119e+00\n", + "log(Z): -4.37317e+01, tol = 4.08652e+01, K = 1, iteration = 289, H = 3.60453e+00\n", + "log(Z): -4.35122e+01, tol = 4.06436e+01, K = 1, iteration = 290, H = 3.73678e+00\n", + "log(Z): -4.32640e+01, tol = 4.03935e+01, K = 1, iteration = 291, H = 3.88238e+00\n", + "log(Z): -4.30603e+01, tol = 4.01877e+01, K = 1, iteration = 292, H = 3.94184e+00\n", + "log(Z): -4.28574e+01, tol = 3.99828e+01, K = 1, iteration = 293, H = 3.98981e+00\n", + "log(Z): -4.26617e+01, tol = 3.97851e+01, K = 1, iteration = 294, H = 4.02164e+00\n", + "log(Z): 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K = 1, iteration = 306, H = 3.67672e+00\n", + "log(Z): -4.12621e+01, tol = 3.83595e+01, K = 1, iteration = 307, H = 3.64685e+00\n", + "log(Z): -4.11870e+01, tol = 3.82824e+01, K = 1, iteration = 308, H = 3.61741e+00\n", + "log(Z): -4.11153e+01, tol = 3.82087e+01, K = 1, iteration = 309, H = 3.58830e+00\n", + "log(Z): -4.10426e+01, tol = 3.81341e+01, K = 1, iteration = 310, H = 3.56186e+00\n", + "log(Z): -4.09749e+01, tol = 3.80644e+01, K = 1, iteration = 311, H = 3.53442e+00\n", + "log(Z): -4.09103e+01, tol = 3.79978e+01, K = 1, iteration = 312, H = 3.50711e+00\n", + "log(Z): -4.08454e+01, tol = 3.79308e+01, K = 1, iteration = 313, H = 3.48184e+00\n", + "log(Z): -4.07704e+01, tol = 3.78538e+01, K = 1, iteration = 314, H = 3.46519e+00\n", + "log(Z): -4.06879e+01, tol = 3.77693e+01, K = 1, iteration = 315, H = 3.45593e+00\n", + "log(Z): -4.06079e+01, tol = 3.76874e+01, K = 1, iteration = 316, H = 3.44540e+00\n", + "log(Z): -4.05334e+01, tol = 3.76108e+01, K = 1, iteration = 317, H = 3.43147e+00\n", + "log(Z): -4.04635e+01, tol = 3.75389e+01, K = 1, iteration = 318, H = 3.41508e+00\n", + "log(Z): -4.03979e+01, tol = 3.74713e+01, K = 1, iteration = 319, H = 3.39681e+00\n", + "log(Z): -4.03357e+01, tol = 3.74071e+01, K = 1, iteration = 320, H = 3.37744e+00\n", + "log(Z): -4.02759e+01, tol = 3.73453e+01, K = 1, iteration = 321, H = 3.35779e+00\n", + "log(Z): -4.02191e+01, tol = 3.72865e+01, K = 1, iteration = 322, H = 3.33743e+00\n", + "log(Z): -4.01552e+01, tol = 3.72206e+01, K = 1, iteration = 323, H = 3.32330e+00\n", + "log(Z): -4.00882e+01, tol = 3.71517e+01, K = 1, iteration = 324, H = 3.31256e+00\n", + "log(Z): -4.00240e+01, tol = 3.70854e+01, K = 1, iteration = 325, H = 3.30049e+00\n", + "log(Z): -3.99537e+01, tol = 3.70131e+01, K = 1, iteration = 326, H = 3.29436e+00\n", + "log(Z): -3.98740e+01, tol = 3.69314e+01, K = 1, iteration = 327, H = 3.29771e+00\n", + "log(Z): -3.97994e+01, tol = 3.68548e+01, K = 1, iteration = 328, H = 3.29594e+00\n", + "log(Z): 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K = 1, iteration = 340, H = 3.35060e+00\n", + "log(Z): -3.86975e+01, tol = 3.57269e+01, K = 1, iteration = 341, H = 3.42603e+00\n", + "log(Z): -3.85708e+01, tol = 3.55982e+01, K = 1, iteration = 342, H = 3.47424e+00\n", + "log(Z): -3.84442e+01, tol = 3.54696e+01, K = 1, iteration = 343, H = 3.51680e+00\n", + "log(Z): -3.83276e+01, tol = 3.53510e+01, K = 1, iteration = 344, H = 3.54265e+00\n", + "log(Z): -3.81966e+01, tol = 3.52180e+01, K = 1, iteration = 345, H = 3.58293e+00\n", + "log(Z): -3.80799e+01, tol = 3.50993e+01, K = 1, iteration = 346, H = 3.60207e+00\n", + "log(Z): -3.79747e+01, tol = 3.49921e+01, K = 1, iteration = 347, H = 3.60741e+00\n", + "log(Z): -3.78632e+01, tol = 3.48786e+01, K = 1, iteration = 348, H = 3.61880e+00\n", + "log(Z): -3.77457e+01, tol = 3.47591e+01, K = 1, iteration = 349, H = 3.63548e+00\n", + "log(Z): -3.76362e+01, tol = 3.46477e+01, K = 1, iteration = 350, H = 3.64228e+00\n", + "log(Z): -3.75372e+01, tol = 3.45466e+01, K = 1, iteration = 351, H = 3.63857e+00\n", + "log(Z): -3.74352e+01, tol = 3.44426e+01, K = 1, iteration = 352, H = 3.63821e+00\n", + "log(Z): -3.73390e+01, tol = 3.43445e+01, K = 1, iteration = 353, H = 3.63259e+00\n", + "log(Z): -3.72434e+01, tol = 3.42469e+01, K = 1, iteration = 354, H = 3.62722e+00\n", + "log(Z): -3.71342e+01, tol = 3.41356e+01, K = 1, iteration = 355, H = 3.63566e+00\n", + "log(Z): -3.70353e+01, tol = 3.40347e+01, K = 1, iteration = 356, H = 3.63344e+00\n", + "log(Z): -3.69449e+01, tol = 3.39423e+01, K = 1, iteration = 357, H = 3.62394e+00\n", + "log(Z): -3.68602e+01, tol = 3.38556e+01, K = 1, iteration = 358, H = 3.61070e+00\n", + "log(Z): -3.67779e+01, tol = 3.37713e+01, K = 1, iteration = 359, H = 3.59673e+00\n", + "log(Z): -3.67006e+01, tol = 3.36921e+01, K = 1, iteration = 360, H = 3.58006e+00\n", + "log(Z): -3.66270e+01, tol = 3.36164e+01, K = 1, iteration = 361, H = 3.56206e+00\n", + "log(Z): -3.65540e+01, tol = 3.35415e+01, K = 1, iteration = 362, H = 3.54501e+00\n", + "log(Z): -3.64826e+01, tol = 3.34680e+01, K = 1, iteration = 363, H = 3.52814e+00\n", + "log(Z): -3.64144e+01, tol = 3.33978e+01, K = 1, iteration = 364, H = 3.51023e+00\n", + "log(Z): -3.63313e+01, tol = 3.33128e+01, K = 1, iteration = 365, H = 3.50582e+00\n", + "log(Z): -3.62476e+01, tol = 3.32271e+01, K = 1, iteration = 366, H = 3.50252e+00\n", + "log(Z): -3.61673e+01, tol = 3.31447e+01, K = 1, iteration = 367, H = 3.49661e+00\n", + "log(Z): -3.60815e+01, tol = 3.30570e+01, K = 1, iteration = 368, H = 3.49633e+00\n", + "log(Z): -3.60012e+01, tol = 3.29746e+01, K = 1, iteration = 369, H = 3.49119e+00\n", + "log(Z): -3.59208e+01, tol = 3.28922e+01, K = 1, iteration = 370, H = 3.48665e+00\n", + "log(Z): -3.58404e+01, tol = 3.28098e+01, K = 1, iteration = 371, H = 3.48264e+00\n", + "log(Z): -3.57453e+01, tol = 3.27128e+01, K = 1, iteration = 372, H = 3.49364e+00\n", + "log(Z): -3.56587e+01, tol = 3.26241e+01, K = 1, iteration = 373, H = 3.49529e+00\n", + "log(Z): -3.55775e+01, tol = 3.25409e+01, K = 1, iteration = 374, H = 3.49178e+00\n", + "log(Z): -3.54985e+01, tol = 3.24599e+01, K = 1, iteration = 375, H = 3.48673e+00\n", + "log(Z): -3.54250e+01, tol = 3.23845e+01, K = 1, iteration = 376, H = 3.47735e+00\n", + "log(Z): -3.53519e+01, tol = 3.23094e+01, K = 1, iteration = 377, H = 3.46847e+00\n", + "log(Z): -3.52826e+01, tol = 3.22381e+01, K = 1, iteration = 378, H = 3.45720e+00\n", + "log(Z): -3.52109e+01, tol = 3.21644e+01, K = 1, iteration = 379, H = 3.44881e+00\n", + "log(Z): -3.51287e+01, tol = 3.20802e+01, K = 1, iteration = 380, H = 3.45088e+00\n", + "log(Z): -3.50484e+01, tol = 3.19978e+01, K = 1, iteration = 381, H = 3.45111e+00\n", + "log(Z): -3.49724e+01, tol = 3.19198e+01, K = 1, iteration = 382, H = 3.44736e+00\n", + "log(Z): -3.48986e+01, tol = 3.18441e+01, K = 1, iteration = 383, H = 3.44206e+00\n", + "log(Z): -3.48246e+01, tol = 3.17680e+01, K = 1, iteration = 384, H = 3.43749e+00\n", + "log(Z): -3.47512e+01, tol = 3.16926e+01, K = 1, iteration = 385, H = 3.43286e+00\n", + "log(Z): -3.46789e+01, tol = 3.16184e+01, K = 1, iteration = 386, H = 3.42760e+00\n", + "log(Z): -3.46114e+01, tol = 3.15489e+01, K = 1, iteration = 387, H = 3.41874e+00\n", + "log(Z): -3.45470e+01, tol = 3.14824e+01, K = 1, iteration = 388, H = 3.40806e+00\n", + "log(Z): -3.44856e+01, tol = 3.14190e+01, K = 1, iteration = 389, H = 3.39574e+00\n", + "log(Z): -3.44268e+01, tol = 3.13583e+01, K = 1, iteration = 390, H = 3.38222e+00\n", + "log(Z): -3.43698e+01, tol = 3.12992e+01, K = 1, iteration = 391, H = 3.36831e+00\n", + "log(Z): -3.43147e+01, tol = 3.12421e+01, K = 1, iteration = 392, H = 3.35386e+00\n", + "log(Z): -3.42609e+01, tol = 3.11863e+01, K = 1, iteration = 393, H = 3.33937e+00\n", + "log(Z): -3.42061e+01, tol = 3.11295e+01, K = 1, iteration = 394, H = 3.32649e+00\n", + "log(Z): -3.41102e+01, tol = 3.10316e+01, K = 1, iteration = 395, H = 3.35690e+00\n", + "log(Z): -3.40204e+01, tol = 3.09398e+01, K = 1, iteration = 396, H = 3.37731e+00\n", + "log(Z): 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K = 1, iteration = 408, H = 3.48060e+00\n", + "log(Z): -3.29209e+01, tol = 2.98143e+01, K = 1, iteration = 409, H = 3.47718e+00\n", + "log(Z): -3.28496e+01, tol = 2.97410e+01, K = 1, iteration = 410, H = 3.47134e+00\n", + "log(Z): -3.27814e+01, tol = 2.96709e+01, K = 1, iteration = 411, H = 3.46332e+00\n", + "log(Z): -3.27162e+01, tol = 2.96036e+01, K = 1, iteration = 412, H = 3.45351e+00\n", + "log(Z): -3.26522e+01, tol = 2.95376e+01, K = 1, iteration = 413, H = 3.44340e+00\n", + "log(Z): -3.25890e+01, tol = 2.94724e+01, K = 1, iteration = 414, H = 3.43338e+00\n", + "log(Z): -3.25290e+01, tol = 2.94105e+01, K = 1, iteration = 415, H = 3.42151e+00\n", + "log(Z): -3.24659e+01, tol = 2.93453e+01, K = 1, iteration = 416, H = 3.41305e+00\n", + "log(Z): -3.23896e+01, tol = 2.92670e+01, K = 1, iteration = 417, H = 3.41756e+00\n", + "log(Z): -3.23181e+01, tol = 2.91935e+01, K = 1, iteration = 418, H = 3.41714e+00\n", + "log(Z): -3.22514e+01, tol = 2.91249e+01, K = 1, iteration = 419, H = 3.41235e+00\n", + "log(Z): -3.21793e+01, tol = 2.90507e+01, K = 1, iteration = 420, H = 3.41318e+00\n", + "log(Z): -3.21081e+01, tol = 2.89775e+01, K = 1, iteration = 421, H = 3.41316e+00\n", + "log(Z): -3.20381e+01, tol = 2.89055e+01, K = 1, iteration = 422, H = 3.41213e+00\n", + "log(Z): -3.19682e+01, tol = 2.88336e+01, K = 1, iteration = 423, H = 3.41128e+00\n", + "log(Z): -3.19028e+01, tol = 2.87662e+01, K = 1, iteration = 424, H = 3.40638e+00\n", + "log(Z): -3.18292e+01, tol = 2.86906e+01, K = 1, iteration = 425, H = 3.40978e+00\n", + "log(Z): -3.17582e+01, tol = 2.86177e+01, K = 1, iteration = 426, H = 3.41045e+00\n", + "log(Z): -3.16863e+01, tol = 2.85437e+01, K = 1, iteration = 427, H = 3.41223e+00\n", + "log(Z): -3.16187e+01, tol = 2.84741e+01, K = 1, iteration = 428, H = 3.40975e+00\n", + "log(Z): -3.15443e+01, tol = 2.83978e+01, K = 1, iteration = 429, H = 3.41427e+00\n", + "log(Z): -3.14698e+01, tol = 2.83212e+01, K = 1, iteration = 430, H = 3.41881e+00\n", + "log(Z): -3.13992e+01, tol = 2.82487e+01, K = 1, iteration = 431, H = 3.41913e+00\n", + "log(Z): -3.13334e+01, tol = 2.81808e+01, K = 1, iteration = 432, H = 3.41519e+00\n", + "log(Z): -3.12689e+01, tol = 2.81144e+01, K = 1, iteration = 433, H = 3.41034e+00\n", + "log(Z): -3.11997e+01, tol = 2.80431e+01, K = 1, iteration = 434, H = 3.41043e+00\n", + "log(Z): -3.11304e+01, tol = 2.79719e+01, K = 1, iteration = 435, H = 3.41060e+00\n", + "log(Z): -3.10634e+01, tol = 2.79028e+01, K = 1, iteration = 436, H = 3.40881e+00\n", + "log(Z): -3.09981e+01, tol = 2.78355e+01, K = 1, iteration = 437, H = 3.40563e+00\n", + "log(Z): -3.09213e+01, tol = 2.77568e+01, K = 1, iteration = 438, H = 3.41425e+00\n", + "log(Z): -3.08476e+01, tol = 2.76810e+01, K = 1, iteration = 439, H = 3.41925e+00\n", + "log(Z): -3.07785e+01, tol = 2.76100e+01, K = 1, iteration = 440, H = 3.41933e+00\n", + "log(Z): -3.07091e+01, tol = 2.75385e+01, K = 1, iteration = 441, H = 3.41989e+00\n", + "log(Z): -3.06429e+01, tol = 2.74703e+01, K = 1, iteration = 442, H = 3.41751e+00\n", + "log(Z): -3.05789e+01, tol = 2.74043e+01, K = 1, iteration = 443, H = 3.41338e+00\n", + "log(Z): -3.05014e+01, tol = 2.73249e+01, K = 1, iteration = 444, H = 3.42306e+00\n", + "log(Z): -3.04275e+01, tol = 2.72489e+01, K = 1, iteration = 445, H = 3.42848e+00\n", + "log(Z): -3.03546e+01, tol = 2.71741e+01, K = 1, iteration = 446, H = 3.43249e+00\n", + "log(Z): -3.02859e+01, tol = 2.71034e+01, K = 1, iteration = 447, H = 3.43229e+00\n", + "log(Z): -3.02215e+01, tol = 2.70369e+01, K = 1, iteration = 448, H = 3.42827e+00\n", + "log(Z): -3.01589e+01, tol = 2.69723e+01, K = 1, iteration = 449, H = 3.42296e+00\n", + "log(Z): -3.00992e+01, tol = 2.69107e+01, K = 1, iteration = 450, H = 3.41548e+00\n", + "log(Z): -3.00411e+01, tol = 2.68506e+01, K = 1, iteration = 451, H = 3.40727e+00\n", + "log(Z): -2.99858e+01, tol = 2.67932e+01, K = 1, iteration = 452, H = 3.39737e+00\n", + "log(Z): -2.99220e+01, tol = 2.67274e+01, K = 1, iteration = 453, H = 3.39548e+00\n", + "log(Z): -2.98600e+01, tol = 2.66634e+01, K = 1, iteration = 454, H = 3.39222e+00\n", + "log(Z): -2.97993e+01, tol = 2.66007e+01, K = 1, iteration = 455, H = 3.38806e+00\n", + "log(Z): -2.97370e+01, tol = 2.65364e+01, K = 1, iteration = 456, H = 3.38574e+00\n", + "log(Z): -2.96655e+01, tol = 2.64629e+01, K = 1, iteration = 457, H = 3.39289e+00\n", + "log(Z): -2.95958e+01, tol = 2.63912e+01, K = 1, iteration = 458, H = 3.39776e+00\n", + "log(Z): -2.95254e+01, tol = 2.63188e+01, K = 1, iteration = 459, H = 3.40328e+00\n", + "log(Z): -2.94574e+01, tol = 2.62488e+01, K = 1, iteration = 460, H = 3.40604e+00\n", + "log(Z): -2.93880e+01, tol = 2.61774e+01, K = 1, iteration = 461, H = 3.41011e+00\n", + "log(Z): -2.93223e+01, tol = 2.61097e+01, K = 1, iteration = 462, H = 3.41038e+00\n", + "log(Z): -2.92605e+01, tol = 2.60459e+01, K = 1, iteration = 463, H = 3.40715e+00\n", + "log(Z): -2.92016e+01, tol = 2.59850e+01, K = 1, iteration = 464, H = 3.40154e+00\n", + "log(Z): 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K = 1, iteration = 476, H = 3.27633e+00\n", + "log(Z): -2.85786e+01, tol = 2.53361e+01, K = 1, iteration = 477, H = 3.26344e+00\n", + "log(Z): -2.85385e+01, tol = 2.52939e+01, K = 1, iteration = 478, H = 3.25127e+00\n", + "log(Z): -2.84932e+01, tol = 2.52467e+01, K = 1, iteration = 479, H = 3.24353e+00\n", + "log(Z): -2.84470e+01, tol = 2.51984e+01, K = 1, iteration = 480, H = 3.23704e+00\n", + "log(Z): -2.84016e+01, tol = 2.51510e+01, K = 1, iteration = 481, H = 3.23018e+00\n", + "log(Z): -2.83564e+01, tol = 2.51038e+01, K = 1, iteration = 482, H = 3.22359e+00\n", + "log(Z): -2.83130e+01, tol = 2.50584e+01, K = 1, iteration = 483, H = 3.21590e+00\n", + "log(Z): -2.82703e+01, tol = 2.50137e+01, K = 1, iteration = 484, H = 3.20803e+00\n", + "log(Z): -2.82238e+01, tol = 2.49652e+01, K = 1, iteration = 485, H = 3.20387e+00\n", + "log(Z): -2.81761e+01, tol = 2.49155e+01, K = 1, iteration = 486, H = 3.20097e+00\n", + "log(Z): -2.81290e+01, tol = 2.48664e+01, K = 1, iteration = 487, H = 3.19779e+00\n", + "log(Z): -2.80835e+01, tol = 2.48189e+01, K = 1, iteration = 488, H = 3.19345e+00\n", + "log(Z): -2.80389e+01, tol = 2.47723e+01, K = 1, iteration = 489, H = 3.18856e+00\n", + "log(Z): -2.79954e+01, tol = 2.47268e+01, K = 1, iteration = 490, H = 3.18304e+00\n", + "log(Z): -2.79521e+01, tol = 2.46816e+01, K = 1, iteration = 491, H = 3.17760e+00\n", + "log(Z): -2.79099e+01, tol = 2.46374e+01, K = 1, iteration = 492, H = 3.17158e+00\n", + "log(Z): -2.78693e+01, tol = 2.45947e+01, K = 1, iteration = 493, H = 3.16460e+00\n", + "log(Z): -2.78283e+01, tol = 2.45517e+01, K = 1, iteration = 494, H = 3.15828e+00\n", + "log(Z): -2.77851e+01, tol = 2.45066e+01, K = 1, iteration = 495, H = 3.15417e+00\n", + "log(Z): -2.77403e+01, tol = 2.44597e+01, K = 1, iteration = 496, H = 3.15185e+00\n", + "log(Z): -2.76963e+01, tol = 2.44137e+01, K = 1, iteration = 497, H = 3.14896e+00\n", + "log(Z): -2.76535e+01, tol = 2.43689e+01, K = 1, iteration = 498, H = 3.14514e+00\n", + "log(Z): 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K = 1, iteration = 510, H = 3.08724e+00\n", + "log(Z): -2.71393e+01, tol = 2.38287e+01, K = 1, iteration = 511, H = 3.08472e+00\n", + "log(Z): -2.71003e+01, tol = 2.37878e+01, K = 1, iteration = 512, H = 3.08120e+00\n", + "log(Z): -2.70606e+01, tol = 2.37460e+01, K = 1, iteration = 513, H = 3.07861e+00\n", + "log(Z): -2.70216e+01, tol = 2.37050e+01, K = 1, iteration = 514, H = 3.07548e+00\n", + "log(Z): -2.69840e+01, tol = 2.36654e+01, K = 1, iteration = 515, H = 3.07130e+00\n", + "log(Z): -2.69477e+01, tol = 2.36271e+01, K = 1, iteration = 516, H = 3.06625e+00\n", + "log(Z): -2.69126e+01, tol = 2.35900e+01, K = 1, iteration = 517, H = 3.06045e+00\n", + "log(Z): -2.68787e+01, tol = 2.35542e+01, K = 1, iteration = 518, H = 3.05391e+00\n", + "log(Z): -2.68447e+01, tol = 2.35181e+01, K = 1, iteration = 519, H = 3.04779e+00\n", + "log(Z): -2.68107e+01, tol = 2.34821e+01, K = 1, iteration = 520, H = 3.04193e+00\n", + "log(Z): -2.67775e+01, tol = 2.34469e+01, K = 1, iteration = 521, H = 3.03568e+00\n", + "log(Z): -2.67451e+01, tol = 2.34125e+01, K = 1, iteration = 522, H = 3.02906e+00\n", + "log(Z): -2.67132e+01, tol = 2.33786e+01, K = 1, iteration = 523, H = 3.02230e+00\n", + "log(Z): -2.66778e+01, tol = 2.33413e+01, K = 1, iteration = 524, H = 3.01875e+00\n", + "log(Z): -2.66433e+01, tol = 2.33047e+01, K = 1, iteration = 525, H = 3.01466e+00\n", + "log(Z): -2.66094e+01, tol = 2.32688e+01, K = 1, iteration = 526, H = 3.01020e+00\n", + "log(Z): -2.65757e+01, tol = 2.32331e+01, K = 1, iteration = 527, H = 3.00583e+00\n", + "log(Z): -2.65416e+01, tol = 2.31970e+01, K = 1, iteration = 528, H = 3.00197e+00\n", + "log(Z): -2.65085e+01, tol = 2.31619e+01, K = 1, iteration = 529, H = 2.99744e+00\n", + "log(Z): -2.64748e+01, tol = 2.31263e+01, K = 1, iteration = 530, H = 2.99361e+00\n", + "log(Z): -2.64423e+01, tol = 2.30917e+01, K = 1, iteration = 531, H = 2.98901e+00\n", + "log(Z): -2.64094e+01, tol = 2.30568e+01, K = 1, iteration = 532, H = 2.98500e+00\n", + "log(Z): 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K = 1, iteration = 544, H = 2.96440e+00\n", + "log(Z): -2.59601e+01, tol = 2.25815e+01, K = 1, iteration = 545, H = 2.96489e+00\n", + "log(Z): -2.59245e+01, tol = 2.25440e+01, K = 1, iteration = 546, H = 2.96500e+00\n", + "log(Z): -2.58897e+01, tol = 2.25071e+01, K = 1, iteration = 547, H = 2.96452e+00\n", + "log(Z): -2.58555e+01, tol = 2.24709e+01, K = 1, iteration = 548, H = 2.96347e+00\n", + "log(Z): -2.58218e+01, tol = 2.24353e+01, K = 1, iteration = 549, H = 2.96205e+00\n", + "log(Z): -2.57891e+01, tol = 2.24005e+01, K = 1, iteration = 550, H = 2.95988e+00\n", + "log(Z): -2.57571e+01, tol = 2.23665e+01, K = 1, iteration = 551, H = 2.95717e+00\n", + "log(Z): -2.57255e+01, tol = 2.23329e+01, K = 1, iteration = 552, H = 2.95422e+00\n", + "log(Z): -2.56874e+01, tol = 2.22928e+01, K = 1, iteration = 553, H = 2.95791e+00\n", + "log(Z): -2.56503e+01, tol = 2.22538e+01, K = 1, iteration = 554, H = 2.96036e+00\n", + "log(Z): -2.56137e+01, tol = 2.22151e+01, K = 1, iteration = 555, H = 2.96241e+00\n", + "log(Z): -2.55772e+01, tol = 2.21766e+01, K = 1, iteration = 556, H = 2.96430e+00\n", + "log(Z): -2.55380e+01, tol = 2.24579e+01, K = 1, iteration = 557, H = 2.96902e+00\n", + "log(Z): -2.54994e+01, tol = 2.24172e+01, K = 1, iteration = 558, H = 2.97312e+00\n", + "log(Z): -2.54608e+01, tol = 2.23766e+01, K = 1, iteration = 559, H = 2.97706e+00\n", + "log(Z): -2.54234e+01, tol = 2.23372e+01, K = 1, iteration = 560, H = 2.97964e+00\n", + "log(Z): -2.53816e+01, tol = 2.22935e+01, K = 1, iteration = 561, H = 2.98698e+00\n", + "log(Z): -2.53416e+01, tol = 2.22515e+01, K = 1, iteration = 562, H = 2.99216e+00\n", + "log(Z): -2.53031e+01, tol = 2.22110e+01, K = 1, iteration = 563, H = 2.99554e+00\n", + "log(Z): -2.52608e+01, tol = 2.21667e+01, K = 1, iteration = 564, H = 3.00312e+00\n", + "log(Z): -2.52202e+01, tol = 2.21241e+01, K = 1, iteration = 565, H = 3.00858e+00\n", + "log(Z): -2.51798e+01, tol = 2.20817e+01, K = 1, iteration = 566, H = 3.01361e+00\n", + "log(Z): 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K = 1, iteration = 578, H = 3.09258e+00\n", + "log(Z): -2.46243e+01, tol = 2.15002e+01, K = 1, iteration = 579, H = 3.10056e+00\n", + "log(Z): -2.45810e+01, tol = 2.14549e+01, K = 1, iteration = 580, H = 3.10616e+00\n", + "log(Z): -2.45364e+01, tol = 2.14082e+01, K = 1, iteration = 581, H = 3.11320e+00\n", + "log(Z): -2.44930e+01, tol = 2.13629e+01, K = 1, iteration = 582, H = 3.11857e+00\n", + "log(Z): -2.44504e+01, tol = 2.13183e+01, K = 1, iteration = 583, H = 3.12292e+00\n", + "log(Z): -2.44093e+01, tol = 2.12752e+01, K = 1, iteration = 584, H = 3.12562e+00\n", + "log(Z): -2.43681e+01, tol = 2.12320e+01, K = 1, iteration = 585, H = 3.12840e+00\n", + "log(Z): -2.43282e+01, tol = 2.11901e+01, K = 1, iteration = 586, H = 3.12980e+00\n", + "log(Z): -2.42883e+01, tol = 2.11482e+01, K = 1, iteration = 587, H = 3.13124e+00\n", + "log(Z): -2.42497e+01, tol = 2.11076e+01, K = 1, iteration = 588, H = 3.13135e+00\n", + "log(Z): -2.42067e+01, tol = 2.10626e+01, K = 1, iteration = 589, H = 3.13617e+00\n", + "log(Z): -2.41649e+01, tol = 2.10188e+01, K = 1, iteration = 590, H = 3.13947e+00\n", + "log(Z): -2.41236e+01, tol = 2.09755e+01, K = 1, iteration = 591, H = 3.14232e+00\n", + "log(Z): -2.40839e+01, tol = 2.09338e+01, K = 1, iteration = 592, H = 3.14341e+00\n", + "log(Z): -2.40424e+01, tol = 2.08903e+01, K = 1, iteration = 593, H = 3.14643e+00\n", + "log(Z): -2.39992e+01, tol = 2.08451e+01, K = 1, iteration = 594, H = 3.15123e+00\n", + "log(Z): -2.39573e+01, tol = 2.08012e+01, K = 1, iteration = 595, H = 3.15452e+00\n", + "log(Z): -2.39171e+01, tol = 2.07590e+01, K = 1, iteration = 596, H = 3.15601e+00\n", + "log(Z): -2.38774e+01, tol = 2.07173e+01, K = 1, iteration = 597, H = 3.15696e+00\n", + "log(Z): -2.38354e+01, tol = 2.06733e+01, K = 1, iteration = 598, H = 3.16033e+00\n", + "log(Z): -2.37906e+01, tol = 2.06265e+01, K = 1, iteration = 599, H = 3.16677e+00\n", + "log(Z): -2.37477e+01, tol = 2.05816e+01, K = 1, iteration = 600, H = 3.17086e+00\n", + "log(Z): 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K = 1, iteration = 612, H = 3.20373e+00\n", + "log(Z): -2.32057e+01, tol = 2.00135e+01, K = 1, iteration = 613, H = 3.20311e+00\n", + "log(Z): -2.31682e+01, tol = 1.99741e+01, K = 1, iteration = 614, H = 3.20141e+00\n", + "log(Z): -2.31318e+01, tol = 1.99357e+01, K = 1, iteration = 615, H = 3.19884e+00\n", + "log(Z): -2.30961e+01, tol = 1.98980e+01, K = 1, iteration = 616, H = 3.19586e+00\n", + "log(Z): -2.30614e+01, tol = 1.98613e+01, K = 1, iteration = 617, H = 3.19214e+00\n", + "log(Z): -2.30259e+01, tol = 1.98238e+01, K = 1, iteration = 618, H = 3.18928e+00\n", + "log(Z): -2.29912e+01, tol = 1.97871e+01, K = 1, iteration = 619, H = 3.18592e+00\n", + "log(Z): -2.29571e+01, tol = 1.97510e+01, K = 1, iteration = 620, H = 3.18226e+00\n", + "log(Z): -2.29225e+01, tol = 1.97144e+01, K = 1, iteration = 621, H = 3.17916e+00\n", + "log(Z): -2.28887e+01, tol = 1.96786e+01, K = 1, iteration = 622, H = 3.17551e+00\n", + "log(Z): -2.28547e+01, tol = 1.96426e+01, K = 1, iteration = 623, H = 3.17226e+00\n", + "log(Z): -2.28216e+01, tol = 1.96075e+01, K = 1, iteration = 624, H = 3.16838e+00\n", + "log(Z): -2.27891e+01, tol = 1.95730e+01, K = 1, iteration = 625, H = 3.16419e+00\n", + "log(Z): -2.27564e+01, tol = 1.95383e+01, K = 1, iteration = 626, H = 3.16038e+00\n", + "log(Z): -2.27238e+01, tol = 1.95037e+01, K = 1, iteration = 627, H = 3.15661e+00\n", + "log(Z): -2.26919e+01, tol = 1.94698e+01, K = 1, iteration = 628, H = 3.15250e+00\n", + "log(Z): -2.26606e+01, tol = 1.94365e+01, K = 1, iteration = 629, H = 3.14803e+00\n", + "log(Z): -2.26301e+01, tol = 1.94039e+01, K = 1, iteration = 630, H = 3.14312e+00\n", + "log(Z): -2.26004e+01, tol = 1.93723e+01, K = 1, iteration = 631, H = 3.13769e+00\n", + "log(Z): -2.25711e+01, tol = 1.93410e+01, K = 1, iteration = 632, H = 3.13222e+00\n", + "log(Z): -2.25426e+01, tol = 1.93105e+01, K = 1, iteration = 633, H = 3.12629e+00\n", + "log(Z): -2.25149e+01, tol = 1.92808e+01, K = 1, iteration = 634, H = 3.11995e+00\n", + "log(Z): 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K = 1, iteration = 646, H = 3.04862e+00\n", + "log(Z): -2.21731e+01, tol = 1.89130e+01, K = 1, iteration = 647, H = 3.04410e+00\n", + "log(Z): -2.21466e+01, tol = 1.88845e+01, K = 1, iteration = 648, H = 3.03977e+00\n", + "log(Z): -2.21206e+01, tol = 1.88565e+01, K = 1, iteration = 649, H = 3.03526e+00\n", + "log(Z): -2.20948e+01, tol = 1.88287e+01, K = 1, iteration = 650, H = 3.03067e+00\n", + "log(Z): -2.20696e+01, tol = 1.88015e+01, K = 1, iteration = 651, H = 3.02577e+00\n", + "log(Z): -2.20442e+01, tol = 1.87741e+01, K = 1, iteration = 652, H = 3.02128e+00\n", + "log(Z): -2.20192e+01, tol = 1.87471e+01, K = 1, iteration = 653, H = 3.01652e+00\n", + "log(Z): -2.19948e+01, tol = 1.87207e+01, K = 1, iteration = 654, H = 3.01149e+00\n", + "log(Z): -2.19708e+01, tol = 1.86947e+01, K = 1, iteration = 655, H = 3.00639e+00\n", + "log(Z): -2.19472e+01, tol = 1.86691e+01, K = 1, iteration = 656, H = 3.00107e+00\n", + "log(Z): -2.19223e+01, tol = 1.86422e+01, K = 1, iteration = 657, H = 2.99696e+00\n", + "log(Z): -2.18977e+01, tol = 1.86156e+01, K = 1, iteration = 658, H = 2.99275e+00\n", + "log(Z): -2.18727e+01, tol = 1.85886e+01, K = 1, iteration = 659, H = 2.98906e+00\n", + "log(Z): -2.18481e+01, tol = 1.85620e+01, K = 1, iteration = 660, H = 2.98520e+00\n", + "log(Z): -2.18240e+01, tol = 1.85359e+01, K = 1, iteration = 661, H = 2.98103e+00\n", + "log(Z): -2.17998e+01, tol = 1.85097e+01, K = 1, iteration = 662, H = 2.97705e+00\n", + "log(Z): -2.17757e+01, tol = 1.84836e+01, K = 1, iteration = 663, H = 2.97317e+00\n", + "log(Z): -2.17519e+01, tol = 1.84578e+01, K = 1, iteration = 664, H = 2.96919e+00\n", + "log(Z): -2.17283e+01, tol = 1.84322e+01, K = 1, iteration = 665, H = 2.96516e+00\n", + "log(Z): -2.17027e+01, tol = 1.84046e+01, K = 1, iteration = 666, H = 2.96302e+00\n", + "log(Z): -2.16776e+01, tol = 1.83775e+01, K = 1, iteration = 667, H = 2.96051e+00\n", + "log(Z): -2.16529e+01, tol = 1.83508e+01, K = 1, iteration = 668, H = 2.95786e+00\n", + "log(Z): 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K = 1, iteration = 680, H = 2.92943e+00\n", + "log(Z): -2.13366e+01, tol = 1.80085e+01, K = 1, iteration = 681, H = 2.92831e+00\n", + "log(Z): -2.13112e+01, tol = 1.79811e+01, K = 1, iteration = 682, H = 2.92771e+00\n", + "log(Z): -2.12853e+01, tol = 1.79532e+01, K = 1, iteration = 683, H = 2.92764e+00\n", + "log(Z): -2.12601e+01, tol = 1.79260e+01, K = 1, iteration = 684, H = 2.92696e+00\n", + "log(Z): -2.12340e+01, tol = 1.78979e+01, K = 1, iteration = 685, H = 2.92727e+00\n", + "log(Z): -2.12084e+01, tol = 1.78703e+01, K = 1, iteration = 686, H = 2.92712e+00\n", + "log(Z): -2.11832e+01, tol = 1.78431e+01, K = 1, iteration = 687, H = 2.92655e+00\n", + "log(Z): -2.11566e+01, tol = 1.78145e+01, K = 1, iteration = 688, H = 2.92752e+00\n", + "log(Z): -2.11303e+01, tol = 1.77861e+01, K = 1, iteration = 689, H = 2.92827e+00\n", + "log(Z): -2.11042e+01, tol = 1.77581e+01, K = 1, iteration = 690, H = 2.92875e+00\n", + "log(Z): -2.10754e+01, tol = 1.77273e+01, K = 1, iteration = 691, H = 2.93211e+00\n", + "log(Z): -2.10462e+01, tol = 1.76961e+01, K = 1, iteration = 692, H = 2.93592e+00\n", + "log(Z): -2.10172e+01, tol = 1.76651e+01, K = 1, iteration = 693, H = 2.93941e+00\n", + "log(Z): -2.09889e+01, tol = 1.76348e+01, K = 1, iteration = 694, H = 2.94210e+00\n", + "log(Z): -2.09615e+01, tol = 1.76054e+01, K = 1, iteration = 695, H = 2.94390e+00\n", + "log(Z): -2.09348e+01, tol = 1.75767e+01, K = 1, iteration = 696, H = 2.94492e+00\n", + "log(Z): -2.09085e+01, tol = 1.75483e+01, K = 1, iteration = 697, H = 2.94558e+00\n", + "log(Z): -2.08808e+01, tol = 1.75187e+01, K = 1, iteration = 698, H = 2.94762e+00\n", + "log(Z): -2.08539e+01, tol = 1.74898e+01, K = 1, iteration = 699, H = 2.94892e+00\n", + "log(Z): -2.08269e+01, tol = 1.74608e+01, K = 1, iteration = 700, H = 2.95037e+00\n", + "log(Z): -2.08005e+01, tol = 1.74324e+01, K = 1, iteration = 701, H = 2.95112e+00\n", + "log(Z): -2.07747e+01, tol = 1.74046e+01, K = 1, iteration = 702, H = 2.95138e+00\n", + "log(Z): 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K = 1, iteration = 714, H = 2.94558e+00\n", + "log(Z): -2.04553e+01, tol = 1.70592e+01, K = 1, iteration = 715, H = 2.94386e+00\n", + "log(Z): -2.04318e+01, tol = 1.70337e+01, K = 1, iteration = 716, H = 2.94276e+00\n", + "log(Z): -2.04088e+01, tol = 1.70087e+01, K = 1, iteration = 717, H = 2.94119e+00\n", + "log(Z): -2.03862e+01, tol = 1.69841e+01, K = 1, iteration = 718, H = 2.93938e+00\n", + "log(Z): -2.03640e+01, tol = 1.69599e+01, K = 1, iteration = 719, H = 2.93728e+00\n", + "log(Z): -2.03409e+01, tol = 1.69348e+01, K = 1, iteration = 720, H = 2.93611e+00\n", + "log(Z): -2.03166e+01, tol = 1.69085e+01, K = 1, iteration = 721, H = 2.93612e+00\n", + "log(Z): -2.02924e+01, tol = 1.68823e+01, K = 1, iteration = 722, H = 2.93618e+00\n", + "log(Z): -2.02687e+01, tol = 1.68566e+01, K = 1, iteration = 723, H = 2.93574e+00\n", + "log(Z): -2.02455e+01, tol = 1.68314e+01, K = 1, iteration = 724, H = 2.93488e+00\n", + "log(Z): -2.02223e+01, tol = 1.68062e+01, K = 1, iteration = 725, H = 2.93404e+00\n", + "log(Z): -2.01993e+01, tol = 1.67812e+01, K = 1, iteration = 726, H = 2.93316e+00\n", + "log(Z): -2.01751e+01, tol = 1.67550e+01, K = 1, iteration = 727, H = 2.93343e+00\n", + "log(Z): -2.01503e+01, tol = 1.67282e+01, K = 1, iteration = 728, H = 2.93436e+00\n", + "log(Z): -2.01259e+01, tol = 1.67018e+01, K = 1, iteration = 729, H = 2.93502e+00\n", + "log(Z): -2.01016e+01, tol = 1.66755e+01, K = 1, iteration = 730, H = 2.93547e+00\n", + "log(Z): -2.00780e+01, tol = 1.66498e+01, K = 1, iteration = 731, H = 2.93539e+00\n", + "log(Z): -2.00544e+01, tol = 1.66243e+01, K = 1, iteration = 732, H = 2.93528e+00\n", + "log(Z): -2.00312e+01, tol = 1.65991e+01, K = 1, iteration = 733, H = 2.93477e+00\n", + "log(Z): -2.00071e+01, tol = 1.65730e+01, K = 1, iteration = 734, H = 2.93527e+00\n", + "log(Z): -1.99833e+01, tol = 1.65472e+01, K = 1, iteration = 735, H = 2.93551e+00\n", + "log(Z): -1.99600e+01, tol = 1.65219e+01, K = 1, iteration = 736, H = 2.93533e+00\n", + "log(Z): 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K = 1, iteration = 748, H = 2.94507e+00\n", + "log(Z): -1.96453e+01, tol = 1.61812e+01, K = 1, iteration = 749, H = 2.94814e+00\n", + "log(Z): -1.96196e+01, tol = 1.61535e+01, K = 1, iteration = 750, H = 2.95075e+00\n", + "log(Z): -1.95946e+01, tol = 1.61265e+01, K = 1, iteration = 751, H = 2.95269e+00\n", + "log(Z): -1.95695e+01, tol = 1.60993e+01, K = 1, iteration = 752, H = 2.95467e+00\n", + "log(Z): -1.95448e+01, tol = 1.60727e+01, K = 1, iteration = 753, H = 2.95623e+00\n", + "log(Z): -1.95206e+01, tol = 1.60465e+01, K = 1, iteration = 754, H = 2.95723e+00\n", + "log(Z): -1.94963e+01, tol = 1.60202e+01, K = 1, iteration = 755, H = 2.95844e+00\n", + "log(Z): -1.94725e+01, tol = 1.59944e+01, K = 1, iteration = 756, H = 2.95912e+00\n", + "log(Z): -1.94484e+01, tol = 1.59683e+01, K = 1, iteration = 757, H = 2.96010e+00\n", + "log(Z): -1.94245e+01, tol = 1.59424e+01, K = 1, iteration = 758, H = 2.96095e+00\n", + "log(Z): -1.94006e+01, tol = 1.59165e+01, K = 1, iteration = 759, H = 2.96186e+00\n", + "log(Z): -1.93771e+01, tol = 1.58910e+01, K = 1, iteration = 760, H = 2.96229e+00\n", + "log(Z): -1.93537e+01, tol = 1.58656e+01, K = 1, iteration = 761, H = 2.96272e+00\n", + "log(Z): -1.93309e+01, tol = 1.58408e+01, K = 1, iteration = 762, H = 2.96261e+00\n", + "log(Z): -1.93077e+01, tol = 1.58156e+01, K = 1, iteration = 763, H = 2.96295e+00\n", + "log(Z): -1.92836e+01, tol = 1.57895e+01, K = 1, iteration = 764, H = 2.96421e+00\n", + "log(Z): -1.92598e+01, tol = 1.57637e+01, K = 1, iteration = 765, H = 2.96511e+00\n", + "log(Z): -1.92363e+01, tol = 1.57382e+01, K = 1, iteration = 766, H = 2.96582e+00\n", + "log(Z): -1.92131e+01, tol = 1.57130e+01, K = 1, iteration = 767, H = 2.96624e+00\n", + "log(Z): -1.91897e+01, tol = 1.56876e+01, K = 1, iteration = 768, H = 2.96687e+00\n", + "log(Z): -1.91662e+01, tol = 1.56621e+01, K = 1, iteration = 769, H = 2.96765e+00\n", + "log(Z): -1.91433e+01, tol = 1.56372e+01, K = 1, iteration = 770, H = 2.96793e+00\n", + "log(Z): -1.91202e+01, tol = 1.56121e+01, K = 1, iteration = 771, H = 2.96838e+00\n", + "log(Z): -1.90969e+01, tol = 1.55868e+01, K = 1, iteration = 772, H = 2.96900e+00\n", + "log(Z): -1.90724e+01, tol = 1.55603e+01, K = 1, iteration = 773, H = 2.97100e+00\n", + "log(Z): -1.90483e+01, tol = 1.55342e+01, K = 1, iteration = 774, H = 2.97257e+00\n", + "log(Z): -1.90244e+01, tol = 1.55083e+01, K = 1, iteration = 775, H = 2.97395e+00\n", + "log(Z): -1.90010e+01, tol = 1.54829e+01, K = 1, iteration = 776, H = 2.97475e+00\n", + "log(Z): -1.89778e+01, tol = 1.54577e+01, K = 1, iteration = 777, H = 2.97540e+00\n", + "log(Z): -1.89542e+01, tol = 1.54321e+01, K = 1, iteration = 778, H = 2.97658e+00\n", + "log(Z): -1.89304e+01, tol = 1.54063e+01, K = 1, iteration = 779, H = 2.97784e+00\n", + "log(Z): -1.89070e+01, tol = 1.53809e+01, K = 1, iteration = 780, H = 2.97884e+00\n", + "log(Z): -1.88841e+01, tol = 1.53560e+01, K = 1, iteration = 781, H = 2.97929e+00\n", + "log(Z): -1.88612e+01, tol = 1.53311e+01, K = 1, iteration = 782, H = 2.97979e+00\n", + "log(Z): -1.88387e+01, tol = 1.53065e+01, K = 1, iteration = 783, H = 2.97995e+00\n", + "log(Z): -1.88163e+01, tol = 1.52822e+01, K = 1, iteration = 784, H = 2.97999e+00\n", + "log(Z): -1.87942e+01, tol = 1.52581e+01, K = 1, iteration = 785, H = 2.97975e+00\n", + "log(Z): -1.87725e+01, tol = 1.52344e+01, K = 1, iteration = 786, H = 2.97921e+00\n", + "log(Z): -1.87512e+01, tol = 1.52111e+01, K = 1, iteration = 787, H = 2.97839e+00\n", + "log(Z): -1.87283e+01, tol = 1.51862e+01, K = 1, iteration = 788, H = 2.97913e+00\n", + "log(Z): -1.87057e+01, tol = 1.51616e+01, K = 1, iteration = 789, H = 2.97970e+00\n", + "log(Z): -1.86835e+01, tol = 1.51374e+01, K = 1, iteration = 790, H = 2.97986e+00\n", + "log(Z): -1.86614e+01, tol = 1.51133e+01, K = 1, iteration = 791, H = 2.97986e+00\n", + "log(Z): -1.86386e+01, tol = 1.50885e+01, K = 1, iteration = 792, H = 2.98074e+00\n", + "log(Z): -1.86159e+01, tol = 1.50638e+01, K = 1, iteration = 793, H = 2.98146e+00\n", + "log(Z): -1.85936e+01, tol = 1.50395e+01, K = 1, iteration = 794, H = 2.98182e+00\n", + "log(Z): -1.85706e+01, tol = 1.50144e+01, K = 1, iteration = 795, H = 2.98302e+00\n", + "log(Z): -1.85475e+01, tol = 1.49894e+01, K = 1, iteration = 796, H = 2.98418e+00\n", + "log(Z): -1.85243e+01, tol = 1.49642e+01, K = 1, iteration = 797, H = 2.98559e+00\n", + "log(Z): -1.85015e+01, tol = 1.49394e+01, K = 1, iteration = 798, H = 2.98658e+00\n", + "log(Z): -1.84790e+01, tol = 1.49149e+01, K = 1, iteration = 799, H = 2.98724e+00\n", + "log(Z): -1.84555e+01, tol = 1.48894e+01, K = 1, iteration = 800, H = 2.98902e+00\n", + "log(Z): -1.84325e+01, tol = 1.48644e+01, K = 1, iteration = 801, H = 2.99022e+00\n", + "log(Z): -1.84096e+01, tol = 1.48395e+01, K = 1, iteration = 802, H = 2.99141e+00\n", + "log(Z): -1.83857e+01, tol = 1.48136e+01, K = 1, iteration = 803, H = 2.99364e+00\n", + "log(Z): -1.83620e+01, tol = 1.47879e+01, K = 1, iteration = 804, H = 2.99566e+00\n", + "log(Z): -1.83388e+01, tol = 1.47627e+01, K = 1, iteration = 805, H = 2.99710e+00\n", + "log(Z): -1.83160e+01, tol = 1.47379e+01, K = 1, iteration = 806, H = 2.99816e+00\n", + "log(Z): -1.82930e+01, tol = 1.47129e+01, K = 1, iteration = 807, H = 2.99942e+00\n", + "log(Z): -1.82703e+01, tol = 1.46882e+01, K = 1, iteration = 808, H = 3.00047e+00\n", + "log(Z): -1.82477e+01, tol = 1.46636e+01, K = 1, iteration = 809, H = 3.00138e+00\n", + "log(Z): -1.82257e+01, tol = 1.46395e+01, K = 1, iteration = 810, H = 3.00178e+00\n", + "log(Z): -1.82041e+01, tol = 1.46160e+01, K = 1, iteration = 811, H = 3.00170e+00\n", + "log(Z): -1.81812e+01, tol = 1.45911e+01, K = 1, iteration = 812, H = 3.00301e+00\n", + "log(Z): -1.81585e+01, tol = 1.45664e+01, K = 1, iteration = 813, H = 3.00415e+00\n", + "log(Z): -1.81355e+01, tol = 1.45414e+01, K = 1, iteration = 814, H = 3.00566e+00\n", + "log(Z): -1.81128e+01, tol = 1.45167e+01, K = 1, iteration = 815, H = 3.00688e+00\n", + "log(Z): -1.80898e+01, tol = 1.44917e+01, K = 1, iteration = 816, H = 3.00831e+00\n", + "log(Z): -1.80672e+01, tol = 1.44670e+01, K = 1, iteration = 817, H = 3.00952e+00\n", + "log(Z): -1.80449e+01, tol = 1.44428e+01, K = 1, iteration = 818, H = 3.01028e+00\n", + "log(Z): -1.80229e+01, tol = 1.44188e+01, K = 1, iteration = 819, H = 3.01085e+00\n", + "log(Z): -1.80001e+01, tol = 1.43940e+01, K = 1, iteration = 820, H = 3.01224e+00\n", + "log(Z): -1.79778e+01, tol = 1.43697e+01, K = 1, iteration = 821, H = 3.01307e+00\n", + "log(Z): -1.79560e+01, tol = 1.43459e+01, K = 1, iteration = 822, H = 3.01350e+00\n", + "log(Z): -1.79343e+01, tol = 1.43222e+01, K = 1, iteration = 823, H = 3.01382e+00\n", + "log(Z): -1.79129e+01, tol = 1.42988e+01, K = 1, iteration = 824, H = 3.01390e+00\n", + "log(Z): -1.78914e+01, tol = 1.42753e+01, K = 1, iteration = 825, H = 3.01416e+00\n", + "log(Z): -1.78702e+01, tol = 1.42521e+01, K = 1, iteration = 826, H = 3.01402e+00\n", + "log(Z): -1.78495e+01, tol = 1.42294e+01, K = 1, iteration = 827, H = 3.01358e+00\n", + "log(Z): -1.78278e+01, tol = 1.42057e+01, K = 1, iteration = 828, H = 3.01410e+00\n", + "log(Z): -1.78065e+01, tol = 1.41824e+01, K = 1, iteration = 829, H = 3.01426e+00\n", + "log(Z): -1.77854e+01, tol = 1.41593e+01, K = 1, iteration = 830, H = 3.01433e+00\n", + "log(Z): -1.77646e+01, tol = 1.41365e+01, K = 1, iteration = 831, H = 3.01411e+00\n", + "log(Z): -1.77424e+01, tol = 1.41123e+01, K = 1, iteration = 832, H = 3.01527e+00\n", + "log(Z): -1.77206e+01, tol = 1.40885e+01, K = 1, iteration = 833, H = 3.01615e+00\n", + "log(Z): -1.76992e+01, tol = 1.40651e+01, K = 1, iteration = 834, H = 3.01658e+00\n", + "log(Z): -1.76779e+01, tol = 1.40418e+01, K = 1, iteration = 835, H = 3.01693e+00\n", + "log(Z): -1.76570e+01, tol = 1.40189e+01, K = 1, iteration = 836, H = 3.01697e+00\n", + "log(Z): -1.76364e+01, tol = 1.39963e+01, K = 1, iteration = 837, H = 3.01670e+00\n", + "log(Z): -1.76157e+01, tol = 1.39736e+01, K = 1, iteration = 838, H = 3.01659e+00\n", + "log(Z): -1.75954e+01, tol = 1.39513e+01, K = 1, iteration = 839, H = 3.01620e+00\n", + "log(Z): -1.75753e+01, tol = 1.39292e+01, K = 1, iteration = 840, H = 3.01563e+00\n", + "log(Z): -1.75552e+01, tol = 1.39071e+01, K = 1, iteration = 841, H = 3.01509e+00\n", + "log(Z): -1.75354e+01, tol = 1.38853e+01, K = 1, iteration = 842, H = 3.01428e+00\n", + "log(Z): -1.75160e+01, tol = 1.38639e+01, K = 1, iteration = 843, H = 3.01316e+00\n", + "log(Z): -1.74966e+01, tol = 1.38425e+01, K = 1, iteration = 844, H = 3.01219e+00\n", + "log(Z): -1.74764e+01, tol = 1.38202e+01, K = 1, iteration = 845, H = 3.01198e+00\n", + "log(Z): -1.74563e+01, tol = 1.37982e+01, K = 1, iteration = 846, H = 3.01170e+00\n", + "log(Z): -1.74366e+01, tol = 1.37765e+01, K = 1, iteration = 847, H = 3.01108e+00\n", + "log(Z): -1.74173e+01, tol = 1.37552e+01, K = 1, iteration = 848, H = 3.01013e+00\n", + "log(Z): -1.73982e+01, tol = 1.37341e+01, K = 1, iteration = 849, H = 3.00906e+00\n", + "log(Z): -1.73790e+01, tol = 1.37129e+01, K = 1, iteration = 850, H = 3.00813e+00\n", + "log(Z): -1.73601e+01, tol = 1.36920e+01, K = 1, iteration = 851, H = 3.00697e+00\n", + "log(Z): -1.73415e+01, tol = 1.36714e+01, K = 1, iteration = 852, H = 3.00560e+00\n", + "log(Z): -1.73230e+01, tol = 1.36509e+01, K = 1, iteration = 853, H = 3.00425e+00\n", + "log(Z): -1.73044e+01, tol = 1.36303e+01, K = 1, iteration = 854, H = 3.00300e+00\n", + "log(Z): -1.72846e+01, tol = 1.36085e+01, K = 1, iteration = 855, H = 3.00300e+00\n", + "log(Z): -1.72650e+01, tol = 1.35869e+01, K = 1, iteration = 856, H = 3.00281e+00\n", + "log(Z): -1.72455e+01, tol = 1.35654e+01, K = 1, iteration = 857, H = 3.00255e+00\n", + "log(Z): -1.72263e+01, tol = 1.35442e+01, K = 1, iteration = 858, H = 3.00200e+00\n", + "log(Z): -1.72071e+01, tol = 1.35230e+01, K = 1, iteration = 859, H = 3.00160e+00\n", + "log(Z): -1.71876e+01, tol = 1.35015e+01, K = 1, iteration = 860, H = 3.00151e+00\n", + "log(Z): -1.71681e+01, tol = 1.34800e+01, K = 1, iteration = 861, H = 3.00144e+00\n", + "log(Z): -1.71486e+01, tol = 1.34585e+01, K = 1, iteration = 862, H = 3.00138e+00\n", + "log(Z): -1.71289e+01, tol = 1.34368e+01, K = 1, iteration = 863, H = 3.00161e+00\n", + "log(Z): -1.71095e+01, tol = 1.34154e+01, K = 1, iteration = 864, H = 3.00156e+00\n", + "log(Z): -1.70905e+01, tol = 1.33944e+01, K = 1, iteration = 865, H = 3.00118e+00\n", + "log(Z): -1.70717e+01, tol = 1.33736e+01, K = 1, iteration = 866, H = 3.00064e+00\n", + "log(Z): -1.70529e+01, tol = 1.33528e+01, K = 1, iteration = 867, H = 3.00010e+00\n", + "log(Z): -1.70345e+01, tol = 1.33324e+01, K = 1, iteration = 868, H = 2.99925e+00\n", + "log(Z): -1.70159e+01, tol = 1.33117e+01, K = 1, iteration = 869, H = 2.99874e+00\n", + "log(Z): -1.69974e+01, tol = 1.32913e+01, K = 1, iteration = 870, H = 2.99801e+00\n", + "log(Z): -1.69794e+01, tol = 1.32712e+01, K = 1, iteration = 871, H = 2.99702e+00\n", + "log(Z): -1.69614e+01, tol = 1.32513e+01, K = 1, iteration = 872, H = 2.99598e+00\n", + "log(Z): -1.69435e+01, tol = 1.32314e+01, K = 1, iteration = 873, H = 2.99488e+00\n", + "log(Z): -1.69260e+01, tol = 1.32119e+01, K = 1, iteration = 874, H = 2.99353e+00\n", + "log(Z): -1.69088e+01, tol = 1.31927e+01, K = 1, iteration = 875, H = 2.99195e+00\n", + "log(Z): -1.68918e+01, tol = 1.31737e+01, K = 1, iteration = 876, H = 2.99030e+00\n", + "log(Z): -1.68748e+01, tol = 1.31547e+01, K = 1, iteration = 877, H = 2.98859e+00\n", + "log(Z): -1.68578e+01, tol = 1.31357e+01, K = 1, iteration = 878, H = 2.98701e+00\n", + "log(Z): -1.68407e+01, tol = 1.31166e+01, K = 1, iteration = 879, H = 2.98563e+00\n", + "log(Z): -1.68238e+01, tol = 1.30977e+01, K = 1, iteration = 880, H = 2.98408e+00\n", + "log(Z): -1.68071e+01, tol = 1.30790e+01, K = 1, iteration = 881, H = 2.98244e+00\n", + "log(Z): -1.67903e+01, tol = 1.30602e+01, K = 1, iteration = 882, H = 2.98090e+00\n", + "log(Z): -1.67734e+01, tol = 1.30413e+01, K = 1, iteration = 883, H = 2.97949e+00\n", + "log(Z): -1.67569e+01, tol = 1.30228e+01, K = 1, iteration = 884, H = 2.97788e+00\n", + "log(Z): -1.67405e+01, tol = 1.30044e+01, K = 1, iteration = 885, H = 2.97613e+00\n", + "log(Z): -1.67244e+01, tol = 1.29863e+01, K = 1, iteration = 886, H = 2.97419e+00\n", + "log(Z): -1.67080e+01, tol = 1.29679e+01, K = 1, iteration = 887, H = 2.97264e+00\n", + "log(Z): -1.66918e+01, tol = 1.29497e+01, K = 1, iteration = 888, H = 2.97092e+00\n", + "log(Z): -1.66759e+01, tol = 1.29318e+01, K = 1, iteration = 889, H = 2.96904e+00\n", + "log(Z): -1.66594e+01, tol = 1.29133e+01, K = 1, iteration = 890, H = 2.96773e+00\n", + "log(Z): -1.66432e+01, tol = 1.28951e+01, K = 1, iteration = 891, H = 2.96625e+00\n", + "log(Z): -1.66271e+01, tol = 1.28770e+01, K = 1, iteration = 892, H = 2.96465e+00\n", + "log(Z): -1.66112e+01, tol = 1.28591e+01, K = 1, iteration = 893, H = 2.96297e+00\n", + "log(Z): -1.65955e+01, tol = 1.28414e+01, K = 1, iteration = 894, H = 2.96115e+00\n", + "log(Z): -1.65800e+01, tol = 1.28238e+01, K = 1, iteration = 895, H = 2.95930e+00\n", + "log(Z): -1.65646e+01, tol = 1.28065e+01, K = 1, iteration = 896, H = 2.95735e+00\n", + "log(Z): -1.65492e+01, tol = 1.27891e+01, K = 1, iteration = 897, H = 2.95544e+00\n", + "log(Z): -1.65335e+01, tol = 1.27714e+01, K = 1, iteration = 898, H = 2.95386e+00\n", + "log(Z): -1.65174e+01, tol = 1.27533e+01, K = 1, iteration = 899, H = 2.95275e+00\n", + "log(Z): -1.65013e+01, tol = 1.27352e+01, K = 1, iteration = 900, H = 2.95161e+00\n", + "log(Z): -1.64854e+01, tol = 1.27173e+01, K = 1, iteration = 901, H = 2.95043e+00\n", + "log(Z): -1.64697e+01, tol = 1.26996e+01, K = 1, iteration = 902, H = 2.94911e+00\n", + "log(Z): -1.64540e+01, tol = 1.26819e+01, K = 1, iteration = 903, H = 2.94777e+00\n", + "log(Z): -1.64377e+01, tol = 1.26636e+01, K = 1, iteration = 904, H = 2.94709e+00\n", + "log(Z): -1.64217e+01, tol = 1.26456e+01, K = 1, iteration = 905, H = 2.94619e+00\n", + "log(Z): -1.64054e+01, tol = 1.26273e+01, K = 1, iteration = 906, H = 2.94555e+00\n", + "log(Z): -1.63894e+01, tol = 1.26093e+01, K = 1, iteration = 907, H = 2.94471e+00\n", + "log(Z): -1.63731e+01, tol = 1.25910e+01, K = 1, iteration = 908, H = 2.94417e+00\n", + "log(Z): -1.63569e+01, tol = 1.25728e+01, K = 1, iteration = 909, H = 2.94365e+00\n", + "log(Z): -1.63405e+01, tol = 1.25544e+01, K = 1, iteration = 910, H = 2.94332e+00\n", + "log(Z): -1.63243e+01, tol = 1.25362e+01, K = 1, iteration = 911, H = 2.94283e+00\n", + "log(Z): -1.63083e+01, tol = 1.25182e+01, K = 1, iteration = 912, H = 2.94216e+00\n", + "log(Z): -1.62926e+01, tol = 1.25005e+01, K = 1, iteration = 913, H = 2.94131e+00\n", + "log(Z): -1.62767e+01, tol = 1.24826e+01, K = 1, iteration = 914, H = 2.94059e+00\n", + "log(Z): -1.62605e+01, tol = 1.24643e+01, K = 1, iteration = 915, H = 2.94036e+00\n", + "log(Z): -1.62440e+01, tol = 1.24459e+01, K = 1, iteration = 916, H = 2.94034e+00\n", + "log(Z): -1.62278e+01, tol = 1.24277e+01, K = 1, iteration = 917, H = 2.94010e+00\n", + "log(Z): -1.62118e+01, tol = 1.24097e+01, K = 1, iteration = 918, H = 2.93966e+00\n", + "log(Z): -1.61959e+01, tol = 1.23918e+01, K = 1, iteration = 919, H = 2.93917e+00\n", + "log(Z): -1.61801e+01, tol = 1.23740e+01, K = 1, iteration = 920, H = 2.93872e+00\n", + "log(Z): -1.61644e+01, tol = 1.23563e+01, K = 1, iteration = 921, H = 2.93808e+00\n", + "log(Z): -1.61490e+01, tol = 1.23389e+01, K = 1, iteration = 922, H = 2.93727e+00\n", + "log(Z): -1.61339e+01, tol = 1.23218e+01, K = 1, iteration = 923, H = 2.93626e+00\n", + "log(Z): -1.61187e+01, tol = 1.23046e+01, K = 1, iteration = 924, H = 2.93527e+00\n", + "log(Z): -1.61039e+01, tol = 1.22878e+01, K = 1, iteration = 925, H = 2.93409e+00\n", + "log(Z): -1.60890e+01, tol = 1.22709e+01, K = 1, iteration = 926, H = 2.93296e+00\n", + "log(Z): -1.60742e+01, tol = 1.22541e+01, K = 1, iteration = 927, H = 2.93182e+00\n", + "log(Z): -1.60592e+01, tol = 1.22371e+01, K = 1, iteration = 928, H = 2.93088e+00\n", + "log(Z): -1.60444e+01, tol = 1.22203e+01, K = 1, iteration = 929, H = 2.92982e+00\n", + "log(Z): -1.60298e+01, tol = 1.22037e+01, K = 1, iteration = 930, H = 2.92863e+00\n", + "log(Z): -1.60152e+01, tol = 1.21871e+01, K = 1, iteration = 931, H = 2.92748e+00\n", + "log(Z): -1.60008e+01, tol = 1.21707e+01, K = 1, iteration = 932, H = 2.92615e+00\n", + "log(Z): -1.59866e+01, tol = 1.21545e+01, K = 1, iteration = 933, H = 2.92477e+00\n", + "log(Z): -1.59723e+01, tol = 1.21382e+01, K = 1, iteration = 934, H = 2.92342e+00\n", + "log(Z): -1.59578e+01, tol = 1.21217e+01, K = 1, iteration = 935, H = 2.92235e+00\n", + "log(Z): -1.59434e+01, tol = 1.21053e+01, K = 1, iteration = 936, H = 2.92128e+00\n", + "log(Z): -1.59291e+01, tol = 1.20890e+01, K = 1, iteration = 937, H = 2.92014e+00\n", + "log(Z): -1.59149e+01, tol = 1.20728e+01, K = 1, iteration = 938, H = 2.91895e+00\n", + "log(Z): -1.59009e+01, tol = 1.20568e+01, K = 1, iteration = 939, H = 2.91763e+00\n", + "log(Z): -1.58868e+01, tol = 1.20407e+01, K = 1, iteration = 940, H = 2.91639e+00\n", + "log(Z): 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K = 1, iteration = 952, H = 2.89963e+00\n", + "log(Z): -1.57111e+01, tol = 1.18390e+01, K = 1, iteration = 953, H = 2.89817e+00\n", + "log(Z): -1.56981e+01, tol = 1.18240e+01, K = 1, iteration = 954, H = 2.89665e+00\n", + "log(Z): -1.56851e+01, tol = 1.18090e+01, K = 1, iteration = 955, H = 2.89512e+00\n", + "log(Z): -1.56723e+01, tol = 1.17942e+01, K = 1, iteration = 956, H = 2.89356e+00\n", + "log(Z): -1.56593e+01, tol = 1.17792e+01, K = 1, iteration = 957, H = 2.89208e+00\n", + "log(Z): -1.56463e+01, tol = 1.17642e+01, K = 1, iteration = 958, H = 2.89074e+00\n", + "log(Z): -1.56334e+01, tol = 1.17493e+01, K = 1, iteration = 959, H = 2.88937e+00\n", + "log(Z): -1.56200e+01, tol = 1.17339e+01, K = 1, iteration = 960, H = 2.88841e+00\n", + "log(Z): -1.56069e+01, tol = 1.17188e+01, K = 1, iteration = 961, H = 2.88733e+00\n", + "log(Z): -1.55939e+01, tol = 1.17038e+01, K = 1, iteration = 962, H = 2.88612e+00\n", + "log(Z): -1.55810e+01, tol = 1.16889e+01, K = 1, iteration = 963, H = 2.88483e+00\n", + "log(Z): -1.55682e+01, tol = 1.16741e+01, K = 1, iteration = 964, H = 2.88355e+00\n", + "log(Z): -1.55555e+01, tol = 1.16594e+01, K = 1, iteration = 965, H = 2.88226e+00\n", + "log(Z): -1.55424e+01, tol = 1.16443e+01, K = 1, iteration = 966, H = 2.88126e+00\n", + "log(Z): -1.55290e+01, tol = 1.16289e+01, K = 1, iteration = 967, H = 2.88071e+00\n", + "log(Z): -1.55156e+01, tol = 1.16135e+01, K = 1, iteration = 968, H = 2.88008e+00\n", + "log(Z): -1.55023e+01, tol = 1.15982e+01, K = 1, iteration = 969, H = 2.87949e+00\n", + "log(Z): -1.54891e+01, tol = 1.15830e+01, K = 1, iteration = 970, H = 2.87874e+00\n", + "log(Z): -1.54760e+01, tol = 1.15679e+01, K = 1, iteration = 971, H = 2.87800e+00\n", + "log(Z): -1.54630e+01, tol = 1.15529e+01, K = 1, iteration = 972, H = 2.87722e+00\n", + "log(Z): -1.54500e+01, tol = 1.15379e+01, K = 1, iteration = 973, H = 2.87638e+00\n", + "log(Z): -1.54372e+01, tol = 1.15231e+01, K = 1, iteration = 974, H = 2.87547e+00\n", + "log(Z): 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K = 1, iteration = 986, H = 2.86372e+00\n", + "log(Z): -1.52752e+01, tol = 1.13351e+01, K = 1, iteration = 987, H = 2.86271e+00\n", + "log(Z): -1.52630e+01, tol = 1.13209e+01, K = 1, iteration = 988, H = 2.86178e+00\n", + "log(Z): -1.52506e+01, tol = 1.13065e+01, K = 1, iteration = 989, H = 2.86103e+00\n", + "log(Z): -1.52382e+01, tol = 1.12921e+01, K = 1, iteration = 990, H = 2.86027e+00\n", + "log(Z): -1.52260e+01, tol = 1.12779e+01, K = 1, iteration = 991, H = 2.85942e+00\n", + "log(Z): -1.52139e+01, tol = 1.12638e+01, K = 1, iteration = 992, H = 2.85854e+00\n", + "log(Z): -1.52013e+01, tol = 1.12492e+01, K = 1, iteration = 993, H = 2.85810e+00\n", + "log(Z): -1.51889e+01, tol = 1.12348e+01, K = 1, iteration = 994, H = 2.85756e+00\n", + "log(Z): -1.51762e+01, tol = 1.12201e+01, K = 1, iteration = 995, H = 2.85733e+00\n", + "log(Z): -1.51636e+01, tol = 1.12055e+01, K = 1, iteration = 996, H = 2.85699e+00\n", + "log(Z): -1.51506e+01, tol = 1.11905e+01, K = 1, iteration = 997, H = 2.85702e+00\n", + "log(Z): -1.51377e+01, tol = 1.11756e+01, K = 1, iteration = 998, H = 2.85707e+00\n", + "log(Z): -1.51250e+01, tol = 1.11609e+01, K = 1, iteration = 999, H = 2.85697e+00\n", + "log(Z): -1.51122e+01, tol = 1.11461e+01, K = 1, iteration = 1000, H = 2.85697e+00\n", + "log(Z): -1.50994e+01, tol = 1.11313e+01, K = 1, iteration = 1001, H = 2.85694e+00\n", + "log(Z): -1.50866e+01, tol = 1.11165e+01, K = 1, iteration = 1002, H = 2.85700e+00\n", + "log(Z): -1.50739e+01, tol = 1.11018e+01, K = 1, iteration = 1003, H = 2.85696e+00\n", + "log(Z): -1.50613e+01, tol = 1.10872e+01, K = 1, iteration = 1004, H = 2.85677e+00\n", + "log(Z): -1.50489e+01, tol = 1.10728e+01, K = 1, iteration = 1005, H = 2.85647e+00\n", + "log(Z): -1.50366e+01, tol = 1.10585e+01, K = 1, iteration = 1006, H = 2.85617e+00\n", + "log(Z): -1.50244e+01, tol = 1.10443e+01, K = 1, iteration = 1007, H = 2.85574e+00\n", + "log(Z): -1.50124e+01, tol = 1.10303e+01, K = 1, iteration = 1008, H = 2.85517e+00\n", + 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1.07124e+01, K = 1, iteration = 1031, H = 2.84576e+00\n", + "log(Z): -1.47287e+01, tol = 1.06986e+01, K = 1, iteration = 1032, H = 2.84567e+00\n", + "log(Z): -1.47169e+01, tol = 1.06848e+01, K = 1, iteration = 1033, H = 2.84567e+00\n", + "log(Z): -1.47050e+01, tol = 1.06709e+01, K = 1, iteration = 1034, H = 2.84566e+00\n", + "log(Z): -1.46933e+01, tol = 1.06572e+01, K = 1, iteration = 1035, H = 2.84554e+00\n", + "log(Z): -1.46815e+01, tol = 1.06434e+01, K = 1, iteration = 1036, H = 2.84557e+00\n", + "log(Z): -1.46697e+01, tol = 1.06296e+01, K = 1, iteration = 1037, H = 2.84564e+00\n", + "log(Z): -1.46576e+01, tol = 1.06155e+01, K = 1, iteration = 1038, H = 2.84596e+00\n", + "log(Z): -1.46455e+01, tol = 1.06015e+01, K = 1, iteration = 1039, H = 2.84628e+00\n", + "log(Z): -1.46336e+01, tol = 1.05875e+01, K = 1, iteration = 1040, H = 2.84653e+00\n", + "log(Z): -1.46218e+01, tol = 1.05737e+01, K = 1, iteration = 1041, H = 2.84666e+00\n", + "log(Z): -1.46100e+01, tol = 1.05599e+01, K = 1, iteration = 1042, H = 2.84675e+00\n", + "log(Z): -1.45982e+01, tol = 1.05461e+01, K = 1, iteration = 1043, H = 2.84691e+00\n", + "log(Z): -1.45865e+01, tol = 1.05324e+01, K = 1, iteration = 1044, H = 2.84698e+00\n", + "log(Z): -1.45748e+01, tol = 1.05187e+01, K = 1, iteration = 1045, H = 2.84707e+00\n", + "log(Z): -1.45629e+01, tol = 1.05048e+01, K = 1, iteration = 1046, H = 2.84743e+00\n", + "log(Z): -1.45504e+01, tol = 1.04903e+01, K = 1, iteration = 1047, H = 2.84841e+00\n", + "log(Z): -1.45379e+01, tol = 1.04758e+01, K = 1, iteration = 1048, H = 2.84937e+00\n", + "log(Z): -1.45255e+01, tol = 1.04614e+01, K = 1, iteration = 1049, H = 2.85030e+00\n", + "log(Z): -1.45129e+01, tol = 1.04468e+01, K = 1, iteration = 1050, H = 2.85134e+00\n", + "log(Z): -1.45005e+01, tol = 1.04324e+01, K = 1, iteration = 1051, H = 2.85228e+00\n", + "log(Z): -1.44882e+01, tol = 1.04181e+01, K = 1, iteration = 1052, H = 2.85311e+00\n", + "log(Z): -1.44761e+01, tol = 1.04040e+01, K = 1, iteration = 1053, H = 2.85377e+00\n", + "log(Z): -1.44641e+01, tol = 1.03900e+01, K = 1, iteration = 1054, H = 2.85428e+00\n", + "log(Z): -1.44522e+01, tol = 1.03762e+01, K = 1, iteration = 1055, H = 2.85467e+00\n", + "log(Z): -1.44405e+01, tol = 1.03624e+01, K = 1, iteration = 1056, H = 2.85497e+00\n", + "log(Z): -1.44287e+01, tol = 1.03486e+01, K = 1, iteration = 1057, H = 2.85538e+00\n", + "log(Z): -1.44170e+01, tol = 1.03349e+01, K = 1, iteration = 1058, H = 2.85569e+00\n", + "log(Z): -1.44053e+01, tol = 1.03213e+01, K = 1, iteration = 1059, H = 2.85595e+00\n", + "log(Z): -1.43937e+01, tol = 1.03076e+01, K = 1, iteration = 1060, H = 2.85628e+00\n", + "log(Z): -1.43820e+01, tol = 1.02940e+01, K = 1, iteration = 1061, H = 2.85655e+00\n", + "log(Z): -1.43702e+01, tol = 1.02801e+01, K = 1, iteration = 1062, H = 2.85709e+00\n", + "log(Z): -1.43582e+01, tol = 1.02661e+01, K = 1, iteration = 1063, H = 2.85784e+00\n", + "log(Z): -1.43457e+01, tol = 1.02516e+01, K = 1, iteration = 1064, H = 2.85907e+00\n", + "log(Z): -1.43332e+01, tol = 1.02371e+01, K = 1, iteration = 1065, H = 2.86035e+00\n", + "log(Z): -1.43207e+01, tol = 1.02226e+01, K = 1, iteration = 1066, H = 2.86163e+00\n", + "log(Z): -1.43083e+01, tol = 1.02082e+01, K = 1, iteration = 1067, H = 2.86277e+00\n", + "log(Z): -1.42960e+01, tol = 1.01939e+01, K = 1, iteration = 1068, H = 2.86387e+00\n", + "log(Z): -1.42838e+01, tol = 1.01798e+01, K = 1, iteration = 1069, H = 2.86483e+00\n", + "log(Z): -1.42718e+01, tol = 1.01658e+01, K = 1, iteration = 1070, H = 2.86563e+00\n", + "log(Z): -1.42598e+01, tol = 1.01518e+01, K = 1, iteration = 1071, H = 2.86640e+00\n", + "log(Z): -1.42480e+01, tol = 1.01379e+01, K = 1, iteration = 1072, H = 2.86705e+00\n", + "log(Z): -1.42363e+01, tol = 1.01242e+01, K = 1, iteration = 1073, H = 2.86759e+00\n", + "log(Z): -1.42245e+01, tol = 1.02201e+01, K = 1, iteration = 1074, H = 2.86820e+00\n", + "log(Z): -1.42128e+01, tol = 1.02064e+01, K = 1, iteration = 1075, H = 2.86879e+00\n", + "log(Z): -1.42011e+01, tol = 1.01927e+01, K = 1, iteration = 1076, H = 2.86936e+00\n", + "log(Z): -1.41893e+01, tol = 1.01789e+01, K = 1, iteration = 1077, H = 2.87004e+00\n", + "log(Z): -1.41775e+01, tol = 1.01651e+01, K = 1, iteration = 1078, H = 2.87072e+00\n", + "log(Z): -1.41655e+01, tol = 1.01511e+01, K = 1, iteration = 1079, H = 2.87166e+00\n", + "log(Z): -1.41535e+01, tol = 1.01371e+01, K = 1, iteration = 1080, H = 2.87261e+00\n", + "log(Z): -1.41416e+01, tol = 1.01232e+01, K = 1, iteration = 1081, H = 2.87349e+00\n", + "log(Z): -1.41298e+01, tol = 1.01094e+01, K = 1, iteration = 1082, H = 2.87421e+00\n", + "log(Z): -1.41181e+01, tol = 1.00957e+01, K = 1, iteration = 1083, H = 2.87486e+00\n", + "log(Z): -1.41064e+01, tol = 1.00820e+01, K = 1, iteration = 1084, H = 2.87554e+00\n", + "log(Z): -1.40948e+01, tol = 1.00685e+01, K = 1, iteration = 1085, H = 2.87611e+00\n", + "log(Z): -1.40833e+01, tol = 1.00549e+01, K = 1, iteration = 1086, H = 2.87667e+00\n", + "log(Z): -1.40716e+01, tol = 1.00412e+01, K = 1, iteration = 1087, H = 2.87740e+00\n", + "log(Z): -1.40599e+01, tol = 1.00275e+01, K = 1, iteration = 1088, H = 2.87811e+00\n", + "log(Z): -1.40482e+01, tol = 1.00139e+01, K = 1, iteration = 1089, H = 2.87886e+00\n", + "log(Z): -1.40362e+01, tol = 9.99981e+00, K = 1, iteration = 1090, H = 2.88001e+00\n", + "log(Z): -1.40243e+01, tol = 9.98590e+00, K = 1, iteration = 1091, H = 2.88101e+00\n", + "log(Z): -1.40124e+01, tol = 9.97205e+00, K = 1, iteration = 1092, H = 2.88198e+00\n", + "log(Z): -1.40007e+01, tol = 9.95830e+00, K = 1, iteration = 1093, H = 2.88283e+00\n", + "log(Z): -1.39889e+01, tol = 9.94455e+00, K = 1, iteration = 1094, H = 2.88372e+00\n", + "log(Z): -1.39773e+01, tol = 9.93093e+00, K = 1, iteration = 1095, H = 2.88446e+00\n", + "log(Z): -1.39658e+01, tol = 9.91742e+00, K = 1, iteration = 1096, H = 2.88511e+00\n", + "log(Z): -1.39540e+01, tol = 9.90364e+00, K = 1, iteration = 1097, H = 2.88607e+00\n", + "log(Z): -1.39419e+01, tol = 9.88959e+00, K = 1, iteration = 1098, H = 2.88732e+00\n", + "log(Z): -1.39298e+01, tol = 9.87541e+00, K = 1, iteration = 1099, H = 2.88873e+00\n", + "log(Z): -1.39176e+01, tol = 9.86125e+00, K = 1, iteration = 1100, H = 2.89012e+00\n", + "log(Z): -1.39054e+01, tol = 9.84709e+00, K = 1, iteration = 1101, H = 2.89153e+00\n", + "log(Z): -1.38934e+01, tol = 9.83306e+00, K = 1, iteration = 1102, H = 2.89279e+00\n", + "log(Z): -1.38815e+01, tol = 9.81919e+00, K = 1, iteration = 1103, H = 2.89388e+00\n", + "log(Z): -1.38695e+01, tol = 9.80518e+00, K = 1, iteration = 1104, H = 2.89515e+00\n", + "log(Z): -1.38576e+01, tol = 9.79127e+00, K = 1, iteration = 1105, H = 2.89631e+00\n", + "log(Z): -1.38458e+01, tol = 9.77746e+00, K = 1, iteration = 1106, H = 2.89738e+00\n", + "log(Z): -1.38338e+01, tol = 9.76342e+00, K = 1, iteration = 1107, H = 2.89870e+00\n", + "log(Z): -1.38218e+01, tol = 9.74951e+00, K = 1, iteration = 1108, H = 2.89989e+00\n", + "log(Z): -1.38098e+01, tol = 9.73549e+00, K = 1, iteration = 1109, H = 2.90121e+00\n", + "log(Z): -1.37980e+01, tol = 9.72163e+00, K = 1, iteration = 1110, H = 2.90236e+00\n", + "log(Z): -1.37862e+01, tol = 9.70789e+00, K = 1, iteration = 1111, H = 2.90340e+00\n", + "log(Z): -1.37746e+01, tol = 9.69430e+00, K = 1, iteration = 1112, H = 2.90428e+00\n", + "log(Z): -1.37630e+01, tol = 9.68066e+00, K = 1, iteration = 1113, H = 2.90523e+00\n", + "log(Z): -1.37514e+01, tol = 9.66707e+00, K = 1, iteration = 1114, H = 2.90614e+00\n", + "log(Z): -1.37398e+01, tol = 9.65347e+00, K = 1, iteration = 1115, H = 2.90707e+00\n", + "log(Z): -1.37283e+01, tol = 9.63997e+00, K = 1, iteration = 1116, H = 2.90791e+00\n", + "log(Z): -1.37169e+01, tol = 9.62661e+00, K = 1, iteration = 1117, H = 2.90861e+00\n", + "log(Z): -1.37056e+01, tol = 9.61330e+00, K = 1, iteration = 1118, H = 2.90928e+00\n", + "log(Z): -1.36944e+01, tol = 9.60012e+00, K = 1, iteration = 1119, H = 2.90982e+00\n", + "log(Z): -1.36833e+01, tol = 9.58692e+00, K = 1, iteration = 1120, H = 2.91039e+00\n", + "log(Z): -1.36720e+01, tol = 9.57371e+00, K = 1, iteration = 1121, H = 2.91100e+00\n", + "log(Z): -1.36609e+01, tol = 9.56059e+00, K = 1, iteration = 1122, H = 2.91153e+00\n", + "log(Z): -1.36498e+01, tol = 9.54748e+00, K = 1, iteration = 1123, H = 2.91206e+00\n", + "log(Z): -1.36388e+01, tol = 9.53447e+00, K = 1, iteration = 1124, H = 2.91251e+00\n", + "log(Z): -1.36279e+01, tol = 9.52156e+00, K = 1, iteration = 1125, H = 2.91287e+00\n", + "log(Z): -1.36169e+01, tol = 9.50861e+00, K = 1, iteration = 1126, H = 2.91328e+00\n", + "log(Z): -1.36060e+01, tol = 9.49569e+00, K = 1, iteration = 1127, H = 2.91369e+00\n", + "log(Z): -1.35951e+01, tol = 9.48280e+00, K = 1, iteration = 1128, H = 2.91408e+00\n", + "log(Z): -1.35842e+01, tol = 9.46992e+00, K = 1, iteration = 1129, H = 2.91448e+00\n", + "log(Z): -1.35734e+01, tol = 9.45711e+00, K = 1, iteration = 1130, H = 2.91483e+00\n", + "log(Z): -1.35623e+01, tol = 9.44394e+00, K = 1, iteration = 1131, H = 2.91556e+00\n", + "log(Z): 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9.28501e+00, K = 1, iteration = 1143, H = 2.92633e+00\n", + "log(Z): -1.34164e+01, tol = 9.27209e+00, K = 1, iteration = 1144, H = 2.92696e+00\n", + "log(Z): -1.34056e+01, tol = 9.25929e+00, K = 1, iteration = 1145, H = 2.92748e+00\n", + "log(Z): -1.33947e+01, tol = 9.24643e+00, K = 1, iteration = 1146, H = 2.92808e+00\n", + "log(Z): -1.33839e+01, tol = 9.23360e+00, K = 1, iteration = 1147, H = 2.92867e+00\n", + "log(Z): -1.33731e+01, tol = 9.22082e+00, K = 1, iteration = 1148, H = 2.92922e+00\n", + "log(Z): -1.33624e+01, tol = 9.20808e+00, K = 1, iteration = 1149, H = 2.92973e+00\n", + "log(Z): -1.33518e+01, tol = 9.19546e+00, K = 1, iteration = 1150, H = 2.93015e+00\n", + "log(Z): -1.33412e+01, tol = 9.18286e+00, K = 1, iteration = 1151, H = 2.93055e+00\n", + "log(Z): -1.33307e+01, tol = 9.17037e+00, K = 1, iteration = 1152, H = 2.93087e+00\n", + "log(Z): -1.33203e+01, tol = 9.15798e+00, K = 1, iteration = 1153, H = 2.93109e+00\n", + "log(Z): -1.33100e+01, tol = 9.14568e+00, K = 1, iteration = 1154, H = 2.93125e+00\n", + "log(Z): -1.32998e+01, tol = 9.13349e+00, K = 1, iteration = 1155, H = 2.93131e+00\n", + "log(Z): -1.32896e+01, tol = 9.12136e+00, K = 1, iteration = 1156, H = 2.93133e+00\n", + "log(Z): -1.32796e+01, tol = 9.10931e+00, K = 1, iteration = 1157, H = 2.93129e+00\n", + "log(Z): -1.32696e+01, tol = 9.09736e+00, K = 1, iteration = 1158, H = 2.93117e+00\n", + "log(Z): -1.32598e+01, tol = 9.08551e+00, K = 1, iteration = 1159, H = 2.93098e+00\n", + "log(Z): -1.32498e+01, tol = 9.07350e+00, K = 1, iteration = 1160, H = 2.93096e+00\n", + "log(Z): -1.32398e+01, tol = 9.06154e+00, K = 1, iteration = 1161, H = 2.93093e+00\n", + "log(Z): -1.32299e+01, tol = 9.04960e+00, K = 1, iteration = 1162, H = 2.93088e+00\n", + "log(Z): -1.32200e+01, tol = 9.03768e+00, K = 1, iteration = 1163, H = 2.93083e+00\n", + "log(Z): -1.32101e+01, tol = 9.02584e+00, K = 1, iteration = 1164, H = 2.93074e+00\n", + "log(Z): -1.32004e+01, tol = 9.01409e+00, K = 1, iteration = 1165, H = 2.93057e+00\n", + "log(Z): -1.31907e+01, tol = 9.00242e+00, K = 1, iteration = 1166, H = 2.93034e+00\n", + "log(Z): -1.31810e+01, tol = 8.99071e+00, K = 1, iteration = 1167, H = 2.93017e+00\n", + "log(Z): -1.31714e+01, tol = 8.97908e+00, K = 1, iteration = 1168, H = 2.92995e+00\n", + "log(Z): -1.31618e+01, tol = 8.96753e+00, K = 1, iteration = 1169, H = 2.92967e+00\n", + "log(Z): -1.31522e+01, tol = 8.95594e+00, K = 1, iteration = 1170, H = 2.92945e+00\n", + "log(Z): -1.31427e+01, tol = 8.94440e+00, K = 1, iteration = 1171, H = 2.92921e+00\n", + "log(Z): -1.31332e+01, tol = 8.93296e+00, K = 1, iteration = 1172, H = 2.92889e+00\n", + "log(Z): -1.31238e+01, tol = 8.92153e+00, K = 1, iteration = 1173, H = 2.92858e+00\n", + "log(Z): -1.31143e+01, tol = 8.91007e+00, K = 1, iteration = 1174, H = 2.92832e+00\n", + "log(Z): -1.31049e+01, tol = 8.89865e+00, K = 1, iteration = 1175, H = 2.92804e+00\n", + "log(Z): -1.30956e+01, tol = 8.88729e+00, K = 1, iteration = 1176, H = 2.92772e+00\n", + "log(Z): -1.30863e+01, tol = 8.87600e+00, K = 1, iteration = 1177, H = 2.92737e+00\n", + "log(Z): -1.30769e+01, tol = 8.86468e+00, K = 1, iteration = 1178, H = 2.92706e+00\n", + "log(Z): -1.30677e+01, tol = 8.85344e+00, K = 1, iteration = 1179, H = 2.92669e+00\n", + "log(Z): -1.30585e+01, tol = 8.84226e+00, K = 1, iteration = 1180, H = 2.92630e+00\n", + "log(Z): -1.30494e+01, tol = 8.83117e+00, K = 1, iteration = 1181, H = 2.92583e+00\n", + "log(Z): -1.30404e+01, tol = 8.82016e+00, K = 1, iteration = 1182, H = 2.92532e+00\n", + "log(Z): -1.30313e+01, tol = 8.80905e+00, K = 1, iteration = 1183, H = 2.92492e+00\n", + "log(Z): -1.30222e+01, tol = 8.79800e+00, K = 1, iteration = 1184, H = 2.92449e+00\n", + "log(Z): -1.30132e+01, tol = 8.78695e+00, K = 1, iteration = 1185, H = 2.92408e+00\n", + "log(Z): -1.30041e+01, tol = 8.77586e+00, K = 1, iteration = 1186, H = 2.92373e+00\n", + "log(Z): -1.29951e+01, tol = 8.76484e+00, K = 1, iteration = 1187, H = 2.92333e+00\n", + "log(Z): 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8.62712e+00, K = 1, iteration = 1199, H = 2.92543e+00\n", + "log(Z): -1.28719e+01, tol = 8.61567e+00, K = 1, iteration = 1200, H = 2.92568e+00\n", + "log(Z): -1.28625e+01, tol = 8.60429e+00, K = 1, iteration = 1201, H = 2.92588e+00\n", + "log(Z): -1.28531e+01, tol = 8.59284e+00, K = 1, iteration = 1202, H = 2.92616e+00\n", + "log(Z): -1.28437e+01, tol = 8.58147e+00, K = 1, iteration = 1203, H = 2.92638e+00\n", + "log(Z): -1.28343e+01, tol = 8.57006e+00, K = 1, iteration = 1204, H = 2.92666e+00\n", + "log(Z): -1.28248e+01, tol = 8.55856e+00, K = 1, iteration = 1205, H = 2.92704e+00\n", + "log(Z): -1.28151e+01, tol = 8.54690e+00, K = 1, iteration = 1206, H = 2.92761e+00\n", + "log(Z): -1.28054e+01, tol = 8.53521e+00, K = 1, iteration = 1207, H = 2.92822e+00\n", + "log(Z): -1.27956e+01, tol = 8.52339e+00, K = 1, iteration = 1208, H = 2.92899e+00\n", + "log(Z): -1.27857e+01, tol = 8.51154e+00, K = 1, iteration = 1209, H = 2.92980e+00\n", + "log(Z): -1.27760e+01, tol = 8.49981e+00, K = 1, iteration = 1210, H = 2.93049e+00\n", + "log(Z): -1.27664e+01, tol = 8.48817e+00, K = 1, iteration = 1211, H = 2.93110e+00\n", + "log(Z): -1.27568e+01, tol = 8.47658e+00, K = 1, iteration = 1212, H = 2.93167e+00\n", + "log(Z): -1.27471e+01, tol = 8.46494e+00, K = 1, iteration = 1213, H = 2.93231e+00\n", + "log(Z): -1.27374e+01, tol = 8.45320e+00, K = 1, iteration = 1214, H = 2.93306e+00\n", + "log(Z): -1.27277e+01, tol = 8.44154e+00, K = 1, iteration = 1215, H = 2.93375e+00\n", + "log(Z): -1.27181e+01, tol = 8.42996e+00, K = 1, iteration = 1216, H = 2.93436e+00\n", + "log(Z): -1.27086e+01, tol = 8.41843e+00, K = 1, iteration = 1217, H = 2.93493e+00\n", + "log(Z): -1.26991e+01, tol = 8.40694e+00, K = 1, iteration = 1218, H = 2.93547e+00\n", + "log(Z): -1.26896e+01, tol = 8.39541e+00, K = 1, iteration = 1219, H = 2.93607e+00\n", + "log(Z): -1.26791e+01, tol = 8.38297e+00, K = 1, iteration = 1220, H = 2.93769e+00\n", + "log(Z): -1.26687e+01, tol = 8.37055e+00, K = 1, iteration = 1221, H = 2.93928e+00\n", + "log(Z): -1.26584e+01, tol = 8.35822e+00, K = 1, iteration = 1222, H = 2.94079e+00\n", + "log(Z): -1.26481e+01, tol = 8.34591e+00, K = 1, iteration = 1223, H = 2.94227e+00\n", + "log(Z): -1.26379e+01, tol = 8.33369e+00, K = 1, iteration = 1224, H = 2.94365e+00\n", + "log(Z): -1.26277e+01, tol = 8.32157e+00, K = 1, iteration = 1225, H = 2.94493e+00\n", + "log(Z): -1.26175e+01, tol = 8.30936e+00, K = 1, iteration = 1226, H = 2.94632e+00\n", + "log(Z): -1.26073e+01, tol = 8.29718e+00, K = 1, iteration = 1227, H = 2.94768e+00\n", + "log(Z): -1.25972e+01, tol = 8.28507e+00, K = 1, iteration = 1228, H = 2.94897e+00\n", + "log(Z): -1.25872e+01, tol = 8.27303e+00, K = 1, iteration = 1229, H = 2.95018e+00\n", + "log(Z): -1.25771e+01, tol = 8.26100e+00, K = 1, iteration = 1230, H = 2.95139e+00\n", + "log(Z): -1.25672e+01, tol = 8.24902e+00, K = 1, iteration = 1231, H = 2.95257e+00\n", + "log(Z): -1.25571e+01, tol = 8.23698e+00, K = 1, iteration = 1232, H = 2.95380e+00\n", + 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8.05064e+00, K = 1, iteration = 1255, H = 2.98459e+00\n", + "log(Z): -1.23158e+01, tol = 8.03882e+00, K = 1, iteration = 1256, H = 2.98575e+00\n", + "log(Z): -1.23060e+01, tol = 8.02704e+00, K = 1, iteration = 1257, H = 2.98687e+00\n", + "log(Z): -1.22963e+01, tol = 8.01536e+00, K = 1, iteration = 1258, H = 2.98788e+00\n", + "log(Z): -1.22867e+01, tol = 8.00379e+00, K = 1, iteration = 1259, H = 2.98879e+00\n", + "log(Z): -1.22772e+01, tol = 7.99225e+00, K = 1, iteration = 1260, H = 2.98967e+00\n", + "log(Z): -1.22674e+01, tol = 7.98050e+00, K = 1, iteration = 1261, H = 2.99080e+00\n", + "log(Z): -1.22575e+01, tol = 7.96862e+00, K = 1, iteration = 1262, H = 2.99207e+00\n", + "log(Z): -1.22475e+01, tol = 7.95661e+00, K = 1, iteration = 1263, H = 2.99350e+00\n", + "log(Z): -1.22375e+01, tol = 7.94459e+00, K = 1, iteration = 1264, H = 2.99495e+00\n", + "log(Z): -1.22275e+01, tol = 7.93254e+00, K = 1, iteration = 1265, H = 2.99644e+00\n", + "log(Z): -1.22175e+01, tol = 7.92057e+00, K = 1, iteration = 1266, H = 2.99785e+00\n", + "log(Z): -1.22076e+01, tol = 7.90865e+00, K = 1, iteration = 1267, H = 2.99920e+00\n", + "log(Z): -1.21974e+01, tol = 7.89654e+00, K = 1, iteration = 1268, H = 3.00077e+00\n", + "log(Z): -1.21874e+01, tol = 7.88449e+00, K = 1, iteration = 1269, H = 3.00228e+00\n", + "log(Z): -1.21774e+01, tol = 7.87247e+00, K = 1, iteration = 1270, H = 3.00377e+00\n", + "log(Z): -1.21673e+01, tol = 7.86045e+00, K = 1, iteration = 1271, H = 3.00525e+00\n", + "log(Z): -1.21574e+01, tol = 7.84854e+00, K = 1, iteration = 1272, H = 3.00663e+00\n", + "log(Z): -1.21476e+01, tol = 7.83671e+00, K = 1, iteration = 1273, H = 3.00791e+00\n", + "log(Z): -1.21378e+01, tol = 7.82493e+00, K = 1, iteration = 1274, H = 3.00914e+00\n", + "log(Z): -1.21281e+01, tol = 7.81325e+00, K = 1, iteration = 1275, H = 3.01028e+00\n", + "log(Z): -1.21184e+01, tol = 7.80156e+00, K = 1, iteration = 1276, H = 3.01142e+00\n", + "log(Z): -1.21088e+01, tol = 7.78994e+00, K = 1, iteration = 1277, H = 3.01250e+00\n", + "log(Z): -1.20992e+01, tol = 7.77835e+00, K = 1, iteration = 1278, H = 3.01355e+00\n", + "log(Z): -1.20897e+01, tol = 7.76687e+00, K = 1, iteration = 1279, H = 3.01450e+00\n", + "log(Z): -1.20803e+01, tol = 7.75541e+00, K = 1, iteration = 1280, H = 3.01543e+00\n", + "log(Z): -1.20709e+01, tol = 7.74402e+00, K = 1, iteration = 1281, H = 3.01630e+00\n", + "log(Z): -1.20613e+01, tol = 7.73249e+00, K = 1, iteration = 1282, H = 3.01733e+00\n", + "log(Z): -1.20516e+01, tol = 7.72079e+00, K = 1, iteration = 1283, H = 3.01856e+00\n", + "log(Z): -1.20420e+01, tol = 7.70912e+00, K = 1, iteration = 1284, H = 3.01976e+00\n", + "log(Z): -1.20324e+01, tol = 7.69755e+00, K = 1, iteration = 1285, H = 3.02086e+00\n", + "log(Z): -1.20229e+01, tol = 7.68609e+00, K = 1, iteration = 1286, H = 3.02185e+00\n", + "log(Z): -1.20135e+01, tol = 7.67467e+00, K = 1, iteration = 1287, H = 3.02279e+00\n", + "log(Z): -1.20040e+01, tol = 7.66324e+00, K = 1, iteration = 1288, H = 3.02377e+00\n", + 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7.41311e+00, K = 1, iteration = 1311, H = 3.03578e+00\n", + "log(Z): -1.17913e+01, tol = 7.40261e+00, K = 1, iteration = 1312, H = 3.03608e+00\n", + "log(Z): -1.17828e+01, tol = 7.39217e+00, K = 1, iteration = 1313, H = 3.03633e+00\n", + "log(Z): -1.17745e+01, tol = 7.38180e+00, K = 1, iteration = 1314, H = 3.03652e+00\n", + "log(Z): -1.17658e+01, tol = 7.37118e+00, K = 1, iteration = 1315, H = 3.03698e+00\n", + "log(Z): -1.17573e+01, tol = 7.36065e+00, K = 1, iteration = 1316, H = 3.03737e+00\n", + "log(Z): -1.17488e+01, tol = 7.35012e+00, K = 1, iteration = 1317, H = 3.03777e+00\n", + "log(Z): -1.17402e+01, tol = 7.33957e+00, K = 1, iteration = 1318, H = 3.03820e+00\n", + "log(Z): -1.17317e+01, tol = 7.32912e+00, K = 1, iteration = 1319, H = 3.03855e+00\n", + "log(Z): -1.17233e+01, tol = 7.31872e+00, K = 1, iteration = 1320, H = 3.03884e+00\n", + "log(Z): -1.17150e+01, tol = 7.30839e+00, K = 1, iteration = 1321, H = 3.03909e+00\n", + "log(Z): -1.17067e+01, tol = 7.29809e+00, K = 1, iteration = 1322, H = 3.03932e+00\n", + "log(Z): -1.16984e+01, tol = 7.28780e+00, K = 1, iteration = 1323, H = 3.03956e+00\n", + "log(Z): -1.16902e+01, tol = 7.27757e+00, K = 1, iteration = 1324, H = 3.03974e+00\n", + "log(Z): -1.16819e+01, tol = 7.26728e+00, K = 1, iteration = 1325, H = 3.04001e+00\n", + "log(Z): -1.16736e+01, tol = 7.25701e+00, K = 1, iteration = 1326, H = 3.04027e+00\n", + "log(Z): -1.16654e+01, tol = 7.24680e+00, K = 1, iteration = 1327, H = 3.04048e+00\n", + "log(Z): -1.16572e+01, tol = 7.23666e+00, K = 1, iteration = 1328, H = 3.04063e+00\n", + "log(Z): -1.16491e+01, tol = 7.22660e+00, K = 1, iteration = 1329, H = 3.04073e+00\n", + "log(Z): -1.16411e+01, tol = 7.21658e+00, K = 1, iteration = 1330, H = 3.04078e+00\n", + "log(Z): -1.16331e+01, tol = 7.20654e+00, K = 1, iteration = 1331, H = 3.04089e+00\n", + "log(Z): -1.16251e+01, tol = 7.19654e+00, K = 1, iteration = 1332, H = 3.04096e+00\n", + "log(Z): -1.16171e+01, tol = 7.18655e+00, K = 1, iteration = 1333, H = 3.04104e+00\n", + "log(Z): -1.16091e+01, tol = 7.17656e+00, K = 1, iteration = 1334, H = 3.04113e+00\n", + "log(Z): -1.16011e+01, tol = 7.16663e+00, K = 1, iteration = 1335, H = 3.04119e+00\n", + "log(Z): -1.15932e+01, tol = 7.15671e+00, K = 1, iteration = 1336, H = 3.04124e+00\n", + "log(Z): -1.15853e+01, tol = 7.14685e+00, K = 1, iteration = 1337, H = 3.04125e+00\n", + "log(Z): -1.15775e+01, tol = 7.13703e+00, K = 1, iteration = 1338, H = 3.04124e+00\n", + "log(Z): -1.15697e+01, tol = 7.12720e+00, K = 1, iteration = 1339, H = 3.04125e+00\n", + "log(Z): -1.15619e+01, tol = 7.11744e+00, K = 1, iteration = 1340, H = 3.04121e+00\n", + "log(Z): -1.15542e+01, tol = 7.10772e+00, K = 1, iteration = 1341, H = 3.04114e+00\n", + "log(Z): -1.15465e+01, tol = 7.09803e+00, K = 1, iteration = 1342, H = 3.04107e+00\n", + "log(Z): -1.15387e+01, tol = 7.08830e+00, K = 1, iteration = 1343, H = 3.04104e+00\n", + "log(Z): -1.15311e+01, tol = 7.07862e+00, K = 1, iteration = 1344, H = 3.04098e+00\n", + 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6.85799e+00, K = 1, iteration = 1367, H = 3.04175e+00\n", + "log(Z): -1.13490e+01, tol = 6.84877e+00, K = 1, iteration = 1368, H = 3.04159e+00\n", + "log(Z): -1.13418e+01, tol = 6.83962e+00, K = 1, iteration = 1369, H = 3.04138e+00\n", + "log(Z): -1.13347e+01, tol = 6.83053e+00, K = 1, iteration = 1370, H = 3.04113e+00\n", + "log(Z): -1.13276e+01, tol = 6.82144e+00, K = 1, iteration = 1371, H = 3.04090e+00\n", + "log(Z): -1.13206e+01, tol = 6.81238e+00, K = 1, iteration = 1372, H = 3.04065e+00\n", + "log(Z): -1.13135e+01, tol = 6.80337e+00, K = 1, iteration = 1373, H = 3.04037e+00\n", + "log(Z): -1.13066e+01, tol = 6.79440e+00, K = 1, iteration = 1374, H = 3.04006e+00\n", + "log(Z): -1.12996e+01, tol = 6.78546e+00, K = 1, iteration = 1375, H = 3.03975e+00\n", + "log(Z): -1.12927e+01, tol = 6.77656e+00, K = 1, iteration = 1376, H = 3.03942e+00\n", + "log(Z): -1.12857e+01, tol = 6.76753e+00, K = 1, iteration = 1377, H = 3.03922e+00\n", + "log(Z): -1.12786e+01, tol = 6.75853e+00, K = 1, iteration = 1378, H = 3.03901e+00\n", + "log(Z): -1.12716e+01, tol = 6.74953e+00, K = 1, iteration = 1379, H = 3.03882e+00\n", + "log(Z): -1.12646e+01, tol = 6.74055e+00, K = 1, iteration = 1380, H = 3.03862e+00\n", + "log(Z): -1.12576e+01, tol = 6.73152e+00, K = 1, iteration = 1381, H = 3.03849e+00\n", + "log(Z): -1.12506e+01, tol = 6.72248e+00, K = 1, iteration = 1382, H = 3.03838e+00\n", + "log(Z): -1.12435e+01, tol = 6.71347e+00, K = 1, iteration = 1383, H = 3.03825e+00\n", + "log(Z): -1.12365e+01, tol = 6.70450e+00, K = 1, iteration = 1384, H = 3.03811e+00\n", + "log(Z): -1.12296e+01, tol = 6.69553e+00, K = 1, iteration = 1385, H = 3.03797e+00\n", + "log(Z): -1.12226e+01, tol = 6.68660e+00, K = 1, iteration = 1386, H = 3.03781e+00\n", + "log(Z): -1.12157e+01, tol = 6.67769e+00, K = 1, iteration = 1387, H = 3.03765e+00\n", + "log(Z): -1.12088e+01, tol = 6.66882e+00, K = 1, iteration = 1388, H = 3.03747e+00\n", + "log(Z): -1.12018e+01, tol = 6.65976e+00, K = 1, iteration = 1389, H = 3.03748e+00\n", + "log(Z): -1.11947e+01, tol = 6.65075e+00, K = 1, iteration = 1390, H = 3.03746e+00\n", + "log(Z): -1.11876e+01, tol = 6.64160e+00, K = 1, iteration = 1391, H = 3.03760e+00\n", + "log(Z): -1.11804e+01, tol = 6.63249e+00, K = 1, iteration = 1392, H = 3.03771e+00\n", + "log(Z): -1.11734e+01, tol = 6.62342e+00, K = 1, iteration = 1393, H = 3.03780e+00\n", + "log(Z): -1.11663e+01, tol = 6.61441e+00, K = 1, iteration = 1394, H = 3.03783e+00\n", + "log(Z): -1.11593e+01, tol = 6.60541e+00, K = 1, iteration = 1395, H = 3.03787e+00\n", + "log(Z): -1.11524e+01, tol = 6.59647e+00, K = 1, iteration = 1396, H = 3.03786e+00\n", + "log(Z): -1.11454e+01, tol = 6.58754e+00, K = 1, iteration = 1397, H = 3.03786e+00\n", + "log(Z): -1.11386e+01, tol = 6.57866e+00, K = 1, iteration = 1398, H = 3.03782e+00\n", + "log(Z): -1.11317e+01, tol = 6.56985e+00, K = 1, iteration = 1399, H = 3.03773e+00\n", + "log(Z): -1.11249e+01, tol = 6.56107e+00, K = 1, iteration = 1400, H = 3.03762e+00\n", + 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6.36618e+00, K = 1, iteration = 1423, H = 3.03233e+00\n", + "log(Z): -1.09694e+01, tol = 6.35784e+00, K = 1, iteration = 1424, H = 3.03215e+00\n", + "log(Z): -1.09631e+01, tol = 6.34954e+00, K = 1, iteration = 1425, H = 3.03194e+00\n", + "log(Z): -1.09568e+01, tol = 6.34130e+00, K = 1, iteration = 1426, H = 3.03169e+00\n", + "log(Z): -1.09505e+01, tol = 6.33299e+00, K = 1, iteration = 1427, H = 3.03151e+00\n", + "log(Z): -1.09442e+01, tol = 6.32470e+00, K = 1, iteration = 1428, H = 3.03133e+00\n", + "log(Z): -1.09379e+01, tol = 6.31642e+00, K = 1, iteration = 1429, H = 3.03116e+00\n", + "log(Z): -1.09316e+01, tol = 6.30817e+00, K = 1, iteration = 1430, H = 3.03097e+00\n", + "log(Z): -1.09253e+01, tol = 6.29982e+00, K = 1, iteration = 1431, H = 3.03089e+00\n", + "log(Z): -1.09189e+01, tol = 6.29151e+00, K = 1, iteration = 1432, H = 3.03079e+00\n", + "log(Z): -1.09125e+01, tol = 6.28310e+00, K = 1, iteration = 1433, H = 3.03080e+00\n", + "log(Z): -1.09061e+01, tol = 6.27470e+00, K = 1, iteration = 1434, H = 3.03081e+00\n", + "log(Z): -1.08997e+01, tol = 6.26636e+00, K = 1, iteration = 1435, H = 3.03077e+00\n", + "log(Z): -1.08934e+01, tol = 6.25806e+00, K = 1, iteration = 1436, H = 3.03071e+00\n", + "log(Z): -1.08871e+01, tol = 6.24980e+00, K = 1, iteration = 1437, H = 3.03062e+00\n", + "log(Z): -1.08809e+01, tol = 6.24158e+00, K = 1, iteration = 1438, H = 3.03051e+00\n", + "log(Z): -1.08747e+01, tol = 6.23340e+00, K = 1, iteration = 1439, H = 3.03036e+00\n", + "log(Z): -1.08686e+01, tol = 6.22527e+00, K = 1, iteration = 1440, H = 3.03019e+00\n", + "log(Z): -1.08625e+01, tol = 6.21718e+00, K = 1, iteration = 1441, H = 3.02999e+00\n", + "log(Z): -1.08564e+01, tol = 6.20913e+00, K = 1, iteration = 1442, H = 3.02976e+00\n", + "log(Z): -1.08504e+01, tol = 6.20113e+00, K = 1, iteration = 1443, H = 3.02950e+00\n", + "log(Z): -1.08444e+01, tol = 6.19312e+00, K = 1, iteration = 1444, H = 3.02927e+00\n", + "log(Z): -1.08384e+01, tol = 6.18514e+00, K = 1, iteration = 1445, H = 3.02901e+00\n", + "log(Z): -1.08324e+01, tol = 6.17721e+00, K = 1, iteration = 1446, H = 3.02873e+00\n", + "log(Z): -1.08265e+01, tol = 6.16931e+00, K = 1, iteration = 1447, H = 3.02843e+00\n", + "log(Z): -1.08206e+01, tol = 6.16144e+00, K = 1, iteration = 1448, H = 3.02811e+00\n", + "log(Z): -1.08147e+01, tol = 6.15352e+00, K = 1, iteration = 1449, H = 3.02786e+00\n", + "log(Z): -1.08087e+01, tol = 6.14562e+00, K = 1, iteration = 1450, H = 3.02760e+00\n", + "log(Z): -1.08029e+01, tol = 6.13775e+00, K = 1, iteration = 1451, H = 3.02732e+00\n", + "log(Z): -1.07970e+01, tol = 6.12987e+00, K = 1, iteration = 1452, H = 3.02706e+00\n", + "log(Z): -1.07911e+01, tol = 6.12203e+00, K = 1, iteration = 1453, H = 3.02678e+00\n", + "log(Z): -1.07853e+01, tol = 6.11422e+00, K = 1, iteration = 1454, H = 3.02649e+00\n", + "log(Z): -1.07795e+01, tol = 6.10642e+00, K = 1, iteration = 1455, H = 3.02620e+00\n", + "log(Z): -1.07737e+01, tol = 6.09864e+00, K = 1, iteration = 1456, H = 3.02591e+00\n", + 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5.92058e+00, K = 1, iteration = 1479, H = 3.02181e+00\n", + "log(Z): -1.06356e+01, tol = 5.91308e+00, K = 1, iteration = 1480, H = 3.02154e+00\n", + "log(Z): -1.06301e+01, tol = 5.90559e+00, K = 1, iteration = 1481, H = 3.02128e+00\n", + "log(Z): -1.06246e+01, tol = 5.89805e+00, K = 1, iteration = 1482, H = 3.02109e+00\n", + "log(Z): -1.06190e+01, tol = 5.89053e+00, K = 1, iteration = 1483, H = 3.02088e+00\n", + "log(Z): -1.06135e+01, tol = 5.88299e+00, K = 1, iteration = 1484, H = 3.02070e+00\n", + "log(Z): -1.06079e+01, tol = 5.87544e+00, K = 1, iteration = 1485, H = 3.02056e+00\n", + "log(Z): -1.06024e+01, tol = 5.86792e+00, K = 1, iteration = 1486, H = 3.02039e+00\n", + "log(Z): -1.05969e+01, tol = 5.86044e+00, K = 1, iteration = 1487, H = 3.02019e+00\n", + "log(Z): -1.05914e+01, tol = 5.85299e+00, K = 1, iteration = 1488, H = 3.01998e+00\n", + "log(Z): -1.05859e+01, tol = 5.84556e+00, K = 1, iteration = 1489, H = 3.01976e+00\n", + "log(Z): -1.05805e+01, tol = 5.83815e+00, K = 1, iteration = 1490, H = 3.01954e+00\n", + "log(Z): -1.05751e+01, tol = 5.83074e+00, K = 1, iteration = 1491, H = 3.01932e+00\n", + "log(Z): -1.05697e+01, tol = 5.82337e+00, K = 1, iteration = 1492, H = 3.01908e+00\n", + "log(Z): -1.05643e+01, tol = 5.81601e+00, K = 1, iteration = 1493, H = 3.01884e+00\n", + "log(Z): -1.05590e+01, tol = 5.80869e+00, K = 1, iteration = 1494, H = 3.01858e+00\n", + "log(Z): -1.05535e+01, tol = 5.80123e+00, K = 1, iteration = 1495, H = 3.01847e+00\n", + "log(Z): -1.05480e+01, tol = 5.79381e+00, K = 1, iteration = 1496, H = 3.01832e+00\n", + "log(Z): -1.05425e+01, tol = 5.78632e+00, K = 1, iteration = 1497, H = 3.01826e+00\n", + "log(Z): -1.05370e+01, tol = 5.77882e+00, K = 1, iteration = 1498, H = 3.01822e+00\n", + "log(Z): -1.05315e+01, tol = 5.77136e+00, K = 1, iteration = 1499, H = 3.01815e+00\n", + "log(Z): -1.05261e+01, tol = 5.76392e+00, K = 1, iteration = 1500, H = 3.01807e+00\n", + "log(Z): -1.05206e+01, tol = 5.75652e+00, K = 1, iteration = 1501, H = 3.01797e+00\n", + "log(Z): -1.05152e+01, tol = 5.74909e+00, K = 1, iteration = 1502, H = 3.01790e+00\n", + "log(Z): -1.05097e+01, tol = 5.74167e+00, K = 1, iteration = 1503, H = 3.01784e+00\n", + "log(Z): -1.05043e+01, tol = 5.73428e+00, K = 1, iteration = 1504, H = 3.01776e+00\n", + "log(Z): -1.04989e+01, tol = 5.72692e+00, K = 1, iteration = 1505, H = 3.01766e+00\n", + "log(Z): -1.04936e+01, tol = 5.71959e+00, K = 1, iteration = 1506, H = 3.01755e+00\n", + "log(Z): -1.04882e+01, tol = 5.71224e+00, K = 1, iteration = 1507, H = 3.01746e+00\n", + "log(Z): -1.04828e+01, tol = 5.70489e+00, K = 1, iteration = 1508, H = 3.01738e+00\n", + "log(Z): -1.04775e+01, tol = 5.69758e+00, K = 1, iteration = 1509, H = 3.01728e+00\n", + "log(Z): -1.04722e+01, tol = 5.69030e+00, K = 1, iteration = 1510, H = 3.01716e+00\n", + "log(Z): -1.04669e+01, tol = 5.68304e+00, K = 1, iteration = 1511, H = 3.01703e+00\n", + "log(Z): -1.04616e+01, tol = 5.67580e+00, K = 1, iteration = 1512, H = 3.01689e+00\n", + "log(Z): -1.04563e+01, tol = 5.66852e+00, K = 1, iteration = 1513, H = 3.01681e+00\n", + "log(Z): -1.04511e+01, tol = 5.66126e+00, K = 1, iteration = 1514, H = 3.01671e+00\n", + "log(Z): -1.04458e+01, tol = 5.65400e+00, K = 1, iteration = 1515, H = 3.01662e+00\n", + "log(Z): -1.04405e+01, tol = 5.64677e+00, K = 1, iteration = 1516, H = 3.01652e+00\n", + "log(Z): -1.04353e+01, tol = 5.63955e+00, K = 1, iteration = 1517, H = 3.01642e+00\n", + "log(Z): -1.04300e+01, tol = 5.63232e+00, K = 1, iteration = 1518, H = 3.01634e+00\n", + "log(Z): -1.04247e+01, tol = 5.62509e+00, K = 1, iteration = 1519, H = 3.01628e+00\n", + "log(Z): -1.04195e+01, tol = 5.61788e+00, K = 1, iteration = 1520, H = 3.01619e+00\n", + "log(Z): -1.04142e+01, tol = 5.61058e+00, K = 1, iteration = 1521, H = 3.01622e+00\n", + "log(Z): -1.04088e+01, tol = 5.60321e+00, K = 1, iteration = 1522, H = 3.01632e+00\n", + "log(Z): -1.04034e+01, tol = 5.59586e+00, K = 1, iteration = 1523, H = 3.01642e+00\n", + "log(Z): -1.03980e+01, tol = 5.58852e+00, K = 1, iteration = 1524, H = 3.01652e+00\n", + "log(Z): -1.03926e+01, tol = 5.58108e+00, K = 1, iteration = 1525, H = 3.01673e+00\n", + "log(Z): -1.03871e+01, tol = 5.57367e+00, K = 1, iteration = 1526, H = 3.01691e+00\n", + "log(Z): -1.03817e+01, tol = 5.56629e+00, K = 1, iteration = 1527, H = 3.01707e+00\n", + "log(Z): -1.03764e+01, tol = 5.55896e+00, K = 1, iteration = 1528, H = 3.01721e+00\n", + "log(Z): -1.03710e+01, tol = 5.55164e+00, K = 1, iteration = 1529, H = 3.01733e+00\n", + "log(Z): -1.03657e+01, tol = 5.54433e+00, K = 1, iteration = 1530, H = 3.01746e+00\n", + "log(Z): -1.03604e+01, tol = 5.53703e+00, K = 1, iteration = 1531, H = 3.01758e+00\n", + "log(Z): -1.03551e+01, tol = 5.52975e+00, K = 1, iteration = 1532, H = 3.01769e+00\n", + "log(Z): -1.03498e+01, tol = 5.52249e+00, K = 1, iteration = 1533, H = 3.01780e+00\n", + "log(Z): -1.03444e+01, tol = 5.51515e+00, K = 1, iteration = 1534, H = 3.01800e+00\n", + "log(Z): -1.03390e+01, tol = 5.50784e+00, K = 1, iteration = 1535, H = 3.01817e+00\n", + "log(Z): -1.03337e+01, tol = 5.50052e+00, K = 1, iteration = 1536, H = 3.01837e+00\n", + "log(Z): -1.03283e+01, tol = 5.49319e+00, K = 1, iteration = 1537, H = 3.01859e+00\n", + "log(Z): -1.03230e+01, tol = 5.48589e+00, K = 1, iteration = 1538, H = 3.01877e+00\n", + "log(Z): -1.03177e+01, tol = 5.47863e+00, K = 1, iteration = 1539, H = 3.01894e+00\n", + "log(Z): -1.03124e+01, tol = 5.47134e+00, K = 1, iteration = 1540, H = 3.01915e+00\n", + "log(Z): -1.03071e+01, tol = 5.46408e+00, K = 1, iteration = 1541, H = 3.01933e+00\n", + "log(Z): -1.03018e+01, tol = 5.45678e+00, K = 1, iteration = 1542, H = 3.01956e+00\n", + "log(Z): -1.02965e+01, tol = 5.44952e+00, K = 1, iteration = 1543, H = 3.01977e+00\n", + "log(Z): -1.02912e+01, tol = 5.44225e+00, K = 1, iteration = 1544, H = 3.01999e+00\n", + "log(Z): -1.02859e+01, tol = 5.43498e+00, K = 1, iteration = 1545, H = 3.02022e+00\n", + "log(Z): -1.02806e+01, tol = 5.42774e+00, K = 1, iteration = 1546, H = 3.02043e+00\n", + "log(Z): -1.02753e+01, tol = 5.42048e+00, K = 1, iteration = 1547, H = 3.02067e+00\n", + "log(Z): -1.02700e+01, tol = 5.41316e+00, K = 1, iteration = 1548, H = 3.02099e+00\n", + "log(Z): -1.02646e+01, tol = 5.40587e+00, K = 1, iteration = 1549, H = 3.02128e+00\n", + "log(Z): -1.02593e+01, tol = 5.39857e+00, K = 1, iteration = 1550, H = 3.02159e+00\n", + "log(Z): -1.02539e+01, tol = 5.39121e+00, K = 1, iteration = 1551, H = 3.02197e+00\n", + "log(Z): -1.02486e+01, tol = 5.38388e+00, K = 1, iteration = 1552, H = 3.02233e+00\n", + "log(Z): -1.02431e+01, tol = 5.37647e+00, K = 1, iteration = 1553, H = 3.02279e+00\n", + "log(Z): -1.02377e+01, tol = 5.36907e+00, K = 1, iteration = 1554, H = 3.02324e+00\n", + "log(Z): -1.02323e+01, tol = 5.36170e+00, K = 1, iteration = 1555, H = 3.02367e+00\n", + "log(Z): -1.02268e+01, tol = 5.35430e+00, K = 1, iteration = 1556, H = 3.02415e+00\n", + "log(Z): -1.02214e+01, tol = 5.34686e+00, K = 1, iteration = 1557, H = 3.02467e+00\n", + "log(Z): -1.02159e+01, tol = 5.33945e+00, K = 1, iteration = 1558, H = 3.02517e+00\n", + "log(Z): -1.02105e+01, tol = 5.33202e+00, K = 1, iteration = 1559, H = 3.02570e+00\n", + "log(Z): -1.02050e+01, tol = 5.32463e+00, K = 1, iteration = 1560, H = 3.02619e+00\n", + "log(Z): -1.01996e+01, tol = 5.31727e+00, K = 1, iteration = 1561, H = 3.02667e+00\n", + "log(Z): -1.01942e+01, tol = 5.30991e+00, K = 1, iteration = 1562, H = 3.02714e+00\n", + "log(Z): -1.01888e+01, tol = 5.30255e+00, K = 1, iteration = 1563, H = 3.02763e+00\n", + "log(Z): -1.01835e+01, tol = 5.29523e+00, K = 1, iteration = 1564, H = 3.02808e+00\n", + "log(Z): -1.01781e+01, tol = 5.28794e+00, K = 1, iteration = 1565, H = 3.02851e+00\n", + "log(Z): -1.01728e+01, tol = 5.28063e+00, K = 1, iteration = 1566, H = 3.02896e+00\n", + "log(Z): -1.01675e+01, tol = 5.27336e+00, K = 1, iteration = 1567, H = 3.02940e+00\n", + "log(Z): -1.01621e+01, tol = 5.26605e+00, K = 1, iteration = 1568, H = 3.02987e+00\n", + "log(Z): -1.01568e+01, tol = 5.25878e+00, K = 1, iteration = 1569, H = 3.03031e+00\n", + "log(Z): -1.01516e+01, tol = 5.25154e+00, K = 1, iteration = 1570, H = 3.03072e+00\n", + "log(Z): -1.01463e+01, tol = 5.24432e+00, K = 1, iteration = 1571, H = 3.03113e+00\n", + "log(Z): -1.01411e+01, tol = 5.23712e+00, K = 1, iteration = 1572, H = 3.03152e+00\n", + "log(Z): -1.01359e+01, tol = 5.22995e+00, K = 1, iteration = 1573, H = 3.03188e+00\n", + "log(Z): -1.01307e+01, tol = 5.22281e+00, K = 1, iteration = 1574, H = 3.03222e+00\n", + "log(Z): -1.01255e+01, tol = 5.21571e+00, K = 1, iteration = 1575, H = 3.03254e+00\n", + "log(Z): -1.01204e+01, tol = 5.20864e+00, K = 1, iteration = 1576, H = 3.03282e+00\n", + "log(Z): -1.01153e+01, tol = 5.20159e+00, K = 1, iteration = 1577, H = 3.03310e+00\n", + "log(Z): -1.01103e+01, tol = 5.19458e+00, K = 1, iteration = 1578, H = 3.03334e+00\n", + "log(Z): -1.01052e+01, tol = 5.18757e+00, K = 1, iteration = 1579, H = 3.03359e+00\n", + "log(Z): 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5.10376e+00, K = 1, iteration = 1591, H = 3.03697e+00\n", + "log(Z): -1.00399e+01, tol = 5.09674e+00, K = 1, iteration = 1592, H = 3.03735e+00\n", + "log(Z): -1.00349e+01, tol = 5.08976e+00, K = 1, iteration = 1593, H = 3.03770e+00\n", + "log(Z): -1.00298e+01, tol = 5.08279e+00, K = 1, iteration = 1594, H = 3.03803e+00\n", + "log(Z): -1.00249e+01, tol = 5.07584e+00, K = 1, iteration = 1595, H = 3.03836e+00\n", + "log(Z): -1.00199e+01, tol = 5.06891e+00, K = 1, iteration = 1596, H = 3.03868e+00\n", + "log(Z): -1.00149e+01, tol = 5.06195e+00, K = 1, iteration = 1597, H = 3.03903e+00\n", + "log(Z): -1.00099e+01, tol = 5.05500e+00, K = 1, iteration = 1598, H = 3.03939e+00\n", + "log(Z): -1.00049e+01, tol = 5.04808e+00, K = 1, iteration = 1599, H = 3.03972e+00\n", + "log(Z): -9.99997e+00, tol = 5.04118e+00, K = 1, iteration = 1600, H = 3.04004e+00\n", + "log(Z): -9.99504e+00, tol = 5.03430e+00, K = 1, iteration = 1601, H = 3.04035e+00\n", + "log(Z): -9.99013e+00, tol = 5.02743e+00, K = 1, iteration = 1602, H = 3.04065e+00\n", + "log(Z): -9.98518e+00, tol = 5.02053e+00, K = 1, iteration = 1603, H = 3.04099e+00\n", + "log(Z): -9.98026e+00, tol = 5.01365e+00, K = 1, iteration = 1604, H = 3.04132e+00\n", + "log(Z): -9.97534e+00, tol = 5.00677e+00, K = 1, iteration = 1605, H = 3.04166e+00\n", + "log(Z): -9.97043e+00, tol = 4.99991e+00, K = 1, iteration = 1606, H = 3.04199e+00\n", + "log(Z): -9.96554e+00, tol = 4.99307e+00, K = 1, iteration = 1607, H = 3.04230e+00\n", + "log(Z): -9.96067e+00, tol = 4.98625e+00, K = 1, iteration = 1608, H = 3.04260e+00\n", + "log(Z): -9.95582e+00, tol = 4.97945e+00, K = 1, iteration = 1609, H = 3.04289e+00\n", + "log(Z): -9.95099e+00, tol = 4.97266e+00, K = 1, iteration = 1610, H = 3.04318e+00\n", + "log(Z): -9.94618e+00, tol = 4.96590e+00, K = 1, iteration = 1611, H = 3.04344e+00\n", + "log(Z): -9.94139e+00, tol = 4.95916e+00, K = 1, iteration = 1612, H = 3.04369e+00\n", + "log(Z): -9.93663e+00, tol = 4.95245e+00, K = 1, iteration = 1613, H = 3.04392e+00\n", + "log(Z): -9.93190e+00, tol = 4.94576e+00, K = 1, iteration = 1614, H = 3.04413e+00\n", + "log(Z): -9.92718e+00, tol = 4.93909e+00, K = 1, iteration = 1615, H = 3.04434e+00\n", + "log(Z): -9.92246e+00, tol = 4.93242e+00, K = 1, iteration = 1616, H = 3.04455e+00\n", + "log(Z): -9.91772e+00, tol = 4.92573e+00, K = 1, iteration = 1617, H = 3.04479e+00\n", + "log(Z): -9.91301e+00, tol = 4.91906e+00, K = 1, iteration = 1618, H = 3.04502e+00\n", + "log(Z): -9.90831e+00, tol = 4.91242e+00, K = 1, iteration = 1619, H = 3.04522e+00\n", + "log(Z): -9.90364e+00, tol = 4.90580e+00, K = 1, iteration = 1620, H = 3.04542e+00\n", + "log(Z): -9.89898e+00, tol = 4.89918e+00, K = 1, iteration = 1621, H = 3.04562e+00\n", + "log(Z): -9.89432e+00, tol = 4.89258e+00, K = 1, iteration = 1622, H = 3.04581e+00\n", + "log(Z): -9.88966e+00, tol = 4.88596e+00, K = 1, iteration = 1623, H = 3.04603e+00\n", + "log(Z): -9.88502e+00, tol = 4.87938e+00, K = 1, iteration = 1624, H = 3.04622e+00\n", + 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3.06568e+00\n", + "log(Z): -9.66910e+00, tol = 4.57420e+00, K = 1, iteration = 1670, H = 3.06614e+00\n", + "log(Z): -9.66454e+00, tol = 4.56770e+00, K = 1, iteration = 1671, H = 3.06660e+00\n", + "log(Z): -9.66000e+00, tol = 4.56123e+00, K = 1, iteration = 1672, H = 3.06703e+00\n", + "log(Z): -9.65549e+00, tol = 4.55479e+00, K = 1, iteration = 1673, H = 3.06744e+00\n", + "log(Z): -9.65097e+00, tol = 4.54834e+00, K = 1, iteration = 1674, H = 3.06787e+00\n", + "log(Z): -9.64646e+00, tol = 4.54189e+00, K = 1, iteration = 1675, H = 3.06830e+00\n", + "log(Z): -9.64197e+00, tol = 4.53547e+00, K = 1, iteration = 1676, H = 3.06871e+00\n", + "log(Z): -9.63750e+00, tol = 4.52907e+00, K = 1, iteration = 1677, H = 3.06910e+00\n", + "log(Z): -9.63305e+00, tol = 4.52270e+00, K = 1, iteration = 1678, H = 3.06948e+00\n", + "log(Z): -9.62861e+00, tol = 4.51633e+00, K = 1, iteration = 1679, H = 3.06985e+00\n", + "log(Z): -9.62420e+00, tol = 4.50998e+00, K = 1, iteration = 1680, H = 3.07021e+00\n", + 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4.36495e+00, K = 1, iteration = 1703, H = 3.07953e+00\n", + "log(Z): -9.51914e+00, tol = 4.35874e+00, K = 1, iteration = 1704, H = 3.07992e+00\n", + "log(Z): -9.51486e+00, tol = 4.35254e+00, K = 1, iteration = 1705, H = 3.08030e+00\n", + "log(Z): -9.51060e+00, tol = 4.34637e+00, K = 1, iteration = 1706, H = 3.08067e+00\n", + "log(Z): -9.50637e+00, tol = 4.34021e+00, K = 1, iteration = 1707, H = 3.08102e+00\n", + "log(Z): -9.50213e+00, tol = 4.33406e+00, K = 1, iteration = 1708, H = 3.08137e+00\n", + "log(Z): -9.49788e+00, tol = 4.32789e+00, K = 1, iteration = 1709, H = 3.08175e+00\n", + "log(Z): -9.49364e+00, tol = 4.32173e+00, K = 1, iteration = 1710, H = 3.08213e+00\n", + "log(Z): -9.48939e+00, tol = 4.31556e+00, K = 1, iteration = 1711, H = 3.08252e+00\n", + "log(Z): -9.48516e+00, tol = 4.30942e+00, K = 1, iteration = 1712, H = 3.08290e+00\n", + "log(Z): -9.48095e+00, tol = 4.30329e+00, K = 1, iteration = 1713, H = 3.08326e+00\n", + "log(Z): -9.47674e+00, tol = 4.29717e+00, K = 1, iteration = 1714, H = 3.08363e+00\n", + "log(Z): -9.47251e+00, tol = 4.29102e+00, K = 1, iteration = 1715, H = 3.08403e+00\n", + "log(Z): -9.46828e+00, tol = 4.28488e+00, K = 1, iteration = 1716, H = 3.08443e+00\n", + "log(Z): -9.46397e+00, tol = 4.27865e+00, K = 1, iteration = 1717, H = 3.08494e+00\n", + "log(Z): -9.45967e+00, tol = 4.27244e+00, K = 1, iteration = 1718, H = 3.08543e+00\n", + "log(Z): -9.45538e+00, tol = 4.26623e+00, K = 1, iteration = 1719, H = 3.08593e+00\n", + "log(Z): -9.45109e+00, tol = 4.26003e+00, K = 1, iteration = 1720, H = 3.08643e+00\n", + "log(Z): -9.44679e+00, tol = 4.25383e+00, K = 1, iteration = 1721, H = 3.08694e+00\n", + "log(Z): -9.44249e+00, tol = 4.24761e+00, K = 1, iteration = 1722, H = 3.08746e+00\n", + "log(Z): -9.43815e+00, tol = 4.24136e+00, K = 1, iteration = 1723, H = 3.08803e+00\n", + "log(Z): -9.43382e+00, tol = 4.23512e+00, K = 1, iteration = 1724, H = 3.08860e+00\n", + "log(Z): -9.42949e+00, tol = 4.22889e+00, K = 1, iteration = 1725, H = 3.08917e+00\n", + "log(Z): -9.42519e+00, tol = 4.22268e+00, K = 1, iteration = 1726, H = 3.08972e+00\n", + "log(Z): -9.42089e+00, tol = 4.21647e+00, K = 1, iteration = 1727, H = 3.09027e+00\n", + "log(Z): -9.41661e+00, tol = 4.21028e+00, K = 1, iteration = 1728, H = 3.09081e+00\n", + "log(Z): -9.41233e+00, tol = 4.20410e+00, K = 1, iteration = 1729, H = 3.09135e+00\n", + "log(Z): -9.40803e+00, tol = 4.19789e+00, K = 1, iteration = 1730, H = 3.09192e+00\n", + "log(Z): -9.40375e+00, tol = 4.19171e+00, K = 1, iteration = 1731, H = 3.09247e+00\n", + "log(Z): -9.39948e+00, tol = 4.18554e+00, K = 1, iteration = 1732, H = 3.09302e+00\n", + "log(Z): -9.39521e+00, tol = 4.17936e+00, K = 1, iteration = 1733, H = 3.09358e+00\n", + "log(Z): -9.39097e+00, tol = 4.17321e+00, K = 1, iteration = 1734, H = 3.09411e+00\n", + "log(Z): -9.38674e+00, tol = 4.16708e+00, K = 1, iteration = 1735, H = 3.09464e+00\n", + "log(Z): -9.38253e+00, tol = 4.16097e+00, K = 1, iteration = 1736, H = 3.09514e+00\n", + 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4.01886e+00, K = 1, iteration = 1759, H = 3.11038e+00\n", + "log(Z): -9.27972e+00, tol = 4.01269e+00, K = 1, iteration = 1760, H = 3.11110e+00\n", + "log(Z): -9.27545e+00, tol = 4.00654e+00, K = 1, iteration = 1761, H = 3.11182e+00\n", + "log(Z): -9.27119e+00, tol = 4.00039e+00, K = 1, iteration = 1762, H = 3.11253e+00\n", + "log(Z): -9.26692e+00, tol = 3.99423e+00, K = 1, iteration = 1763, H = 3.11327e+00\n", + "log(Z): -9.26265e+00, tol = 3.98808e+00, K = 1, iteration = 1764, H = 3.11400e+00\n", + "log(Z): -9.25838e+00, tol = 3.98193e+00, K = 1, iteration = 1765, H = 3.11474e+00\n", + "log(Z): -9.25414e+00, tol = 3.97580e+00, K = 1, iteration = 1766, H = 3.11545e+00\n", + "log(Z): -9.24990e+00, tol = 3.96969e+00, K = 1, iteration = 1767, H = 3.11616e+00\n", + "log(Z): -9.24566e+00, tol = 3.96357e+00, K = 1, iteration = 1768, H = 3.11688e+00\n", + "log(Z): -9.24144e+00, tol = 3.95746e+00, K = 1, iteration = 1769, H = 3.11759e+00\n", + "log(Z): -9.23722e+00, tol = 3.95136e+00, K = 1, iteration = 1770, H = 3.11829e+00\n", + "log(Z): -9.23302e+00, tol = 3.94528e+00, K = 1, iteration = 1771, H = 3.11898e+00\n", + "log(Z): -9.22883e+00, tol = 3.93920e+00, K = 1, iteration = 1772, H = 3.11967e+00\n", + "log(Z): -9.22466e+00, tol = 3.93316e+00, K = 1, iteration = 1773, H = 3.12033e+00\n", + "log(Z): -9.22051e+00, tol = 3.92713e+00, K = 1, iteration = 1774, H = 3.12098e+00\n", + "log(Z): -9.21635e+00, tol = 3.92109e+00, K = 1, iteration = 1775, H = 3.12164e+00\n", + "log(Z): -9.21222e+00, tol = 3.91508e+00, K = 1, iteration = 1776, H = 3.12228e+00\n", + "log(Z): -9.20811e+00, tol = 3.90909e+00, K = 1, iteration = 1777, H = 3.12290e+00\n", + "log(Z): -9.20401e+00, tol = 3.90312e+00, K = 1, iteration = 1778, H = 3.12351e+00\n", + "log(Z): -9.19990e+00, tol = 3.89713e+00, K = 1, iteration = 1779, H = 3.12415e+00\n", + "log(Z): -9.19581e+00, tol = 3.89117e+00, K = 1, iteration = 1780, H = 3.12476e+00\n", + "log(Z): -9.19174e+00, tol = 3.88522e+00, K = 1, iteration = 1781, H = 3.12535e+00\n", + "log(Z): -9.18769e+00, tol = 3.87930e+00, K = 1, iteration = 1782, H = 3.12593e+00\n", + "log(Z): -9.18367e+00, tol = 3.87340e+00, K = 1, iteration = 1783, H = 3.12648e+00\n", + "log(Z): -9.17964e+00, tol = 3.86750e+00, K = 1, iteration = 1784, H = 3.12705e+00\n", + "log(Z): -9.17563e+00, tol = 3.86161e+00, K = 1, iteration = 1785, H = 3.12760e+00\n", + "log(Z): -9.17164e+00, tol = 3.85574e+00, K = 1, iteration = 1786, H = 3.12814e+00\n", + "log(Z): -9.16764e+00, tol = 3.84988e+00, K = 1, iteration = 1787, H = 3.12869e+00\n", + "log(Z): -9.16364e+00, tol = 3.84401e+00, K = 1, iteration = 1788, H = 3.12924e+00\n", + "log(Z): -9.15965e+00, tol = 3.83814e+00, K = 1, iteration = 1789, H = 3.12979e+00\n", + "log(Z): -9.15568e+00, tol = 3.83231e+00, K = 1, iteration = 1790, H = 3.13032e+00\n", + "log(Z): -9.15173e+00, tol = 3.82648e+00, K = 1, iteration = 1791, H = 3.13084e+00\n", + "log(Z): -9.14780e+00, tol = 3.82068e+00, K = 1, iteration = 1792, H = 3.13134e+00\n", + "log(Z): -9.14389e+00, tol = 3.81490e+00, K = 1, iteration = 1793, H = 3.13184e+00\n", + "log(Z): -9.13999e+00, tol = 3.80913e+00, K = 1, iteration = 1794, H = 3.13231e+00\n", + "log(Z): -9.13610e+00, tol = 3.80337e+00, K = 1, iteration = 1795, H = 3.13279e+00\n", + "log(Z): -9.13221e+00, tol = 3.79762e+00, K = 1, iteration = 1796, H = 3.13326e+00\n", + "log(Z): -9.12835e+00, tol = 3.79189e+00, K = 1, iteration = 1797, H = 3.13371e+00\n", + "log(Z): -9.12445e+00, tol = 3.78612e+00, K = 1, iteration = 1798, H = 3.13422e+00\n", + "log(Z): -9.12055e+00, tol = 3.78036e+00, K = 1, iteration = 1799, H = 3.13472e+00\n", + "log(Z): -9.11668e+00, tol = 3.77461e+00, K = 1, iteration = 1800, H = 3.13521e+00\n", + "log(Z): -9.11277e+00, tol = 3.76884e+00, K = 1, iteration = 1801, H = 3.13574e+00\n", + "log(Z): -9.10888e+00, tol = 3.76309e+00, K = 1, iteration = 1802, H = 3.13625e+00\n", + "log(Z): -9.10501e+00, tol = 3.75736e+00, K = 1, iteration = 1803, H = 3.13675e+00\n", + "log(Z): -9.10116e+00, tol = 3.75164e+00, K = 1, iteration = 1804, H = 3.13723e+00\n", + "log(Z): -9.09730e+00, tol = 3.74593e+00, K = 1, iteration = 1805, H = 3.13772e+00\n", + "log(Z): -9.09347e+00, tol = 3.74023e+00, K = 1, iteration = 1806, H = 3.13820e+00\n", + "log(Z): -9.08965e+00, tol = 3.73454e+00, K = 1, iteration = 1807, H = 3.13867e+00\n", + "log(Z): -9.08584e+00, tol = 3.72888e+00, K = 1, iteration = 1808, H = 3.13912e+00\n", + "log(Z): -9.08203e+00, tol = 3.72321e+00, K = 1, iteration = 1809, H = 3.13959e+00\n", + "log(Z): -9.07819e+00, tol = 3.71751e+00, K = 1, iteration = 1810, H = 3.14009e+00\n", + "log(Z): -9.07437e+00, tol = 3.71183e+00, K = 1, iteration = 1811, H = 3.14058e+00\n", + "log(Z): -9.07056e+00, tol = 3.70617e+00, K = 1, iteration = 1812, H = 3.14106e+00\n", + "log(Z): -9.06677e+00, tol = 3.70052e+00, K = 1, iteration = 1813, H = 3.14152e+00\n", + "log(Z): -9.06300e+00, tol = 3.69489e+00, K = 1, iteration = 1814, H = 3.14198e+00\n", + "log(Z): -9.05924e+00, tol = 3.68927e+00, K = 1, iteration = 1815, H = 3.14242e+00\n", + "log(Z): -9.05550e+00, tol = 3.68368e+00, K = 1, iteration = 1816, H = 3.14285e+00\n", + "log(Z): -9.05178e+00, tol = 3.67810e+00, K = 1, iteration = 1817, H = 3.14326e+00\n", + "log(Z): -9.04806e+00, tol = 3.67253e+00, K = 1, iteration = 1818, H = 3.14367e+00\n", + "log(Z): -9.04436e+00, tol = 3.66697e+00, K = 1, iteration = 1819, H = 3.14408e+00\n", + "log(Z): -9.04068e+00, tol = 3.66144e+00, K = 1, iteration = 1820, H = 3.14446e+00\n", + "log(Z): -9.03702e+00, tol = 3.65592e+00, K = 1, iteration = 1821, H = 3.14483e+00\n", + "log(Z): -9.03331e+00, tol = 3.65036e+00, K = 1, iteration = 1822, H = 3.14526e+00\n", + "log(Z): -9.02958e+00, tol = 3.64478e+00, K = 1, iteration = 1823, H = 3.14572e+00\n", + "log(Z): -9.02586e+00, tol = 3.63921e+00, K = 1, iteration = 1824, H = 3.14617e+00\n", + "log(Z): -9.02215e+00, tol = 3.63365e+00, K = 1, iteration = 1825, H = 3.14662e+00\n", + "log(Z): -9.01843e+00, tol = 3.62808e+00, K = 1, iteration = 1826, H = 3.14708e+00\n", + "log(Z): -9.01472e+00, tol = 3.62252e+00, K = 1, iteration = 1827, H = 3.14754e+00\n", + "log(Z): -9.01101e+00, tol = 3.61697e+00, K = 1, iteration = 1828, H = 3.14800e+00\n", + "log(Z): -9.00731e+00, tol = 3.61142e+00, K = 1, iteration = 1829, H = 3.14846e+00\n", + "log(Z): -9.00359e+00, tol = 3.60585e+00, K = 1, iteration = 1830, H = 3.14895e+00\n", + "log(Z): -8.99988e+00, tol = 3.60030e+00, K = 1, iteration = 1831, H = 3.14943e+00\n", + "log(Z): -8.99619e+00, tol = 3.59476e+00, K = 1, iteration = 1832, H = 3.14990e+00\n", + "log(Z): -8.99251e+00, tol = 3.58924e+00, K = 1, iteration = 1833, H = 3.15036e+00\n", + "log(Z): -8.98881e+00, tol = 3.58370e+00, K = 1, iteration = 1834, H = 3.15084e+00\n", + "log(Z): -8.98513e+00, tol = 3.57818e+00, K = 1, iteration = 1835, H = 3.15131e+00\n", + "log(Z): -8.98147e+00, tol = 3.57267e+00, K = 1, iteration = 1836, H = 3.15177e+00\n", + "log(Z): -8.97782e+00, tol = 3.56718e+00, K = 1, iteration = 1837, H = 3.15222e+00\n", + "log(Z): -8.97417e+00, tol = 3.56170e+00, K = 1, iteration = 1838, H = 3.15267e+00\n", + "log(Z): -8.97052e+00, tol = 3.55620e+00, K = 1, iteration = 1839, H = 3.15313e+00\n", + "log(Z): -8.96688e+00, tol = 3.55073e+00, K = 1, iteration = 1840, H = 3.15358e+00\n", + "log(Z): -8.96325e+00, tol = 3.54526e+00, K = 1, iteration = 1841, H = 3.15402e+00\n", + "log(Z): -8.95964e+00, tol = 3.53981e+00, K = 1, iteration = 1842, H = 3.15445e+00\n", + "log(Z): -8.95603e+00, tol = 3.53436e+00, K = 1, iteration = 1843, H = 3.15489e+00\n", + "log(Z): -8.95242e+00, tol = 3.52892e+00, K = 1, iteration = 1844, H = 3.15534e+00\n", + "log(Z): -8.94882e+00, tol = 3.52348e+00, K = 1, iteration = 1845, H = 3.15577e+00\n", + "log(Z): -8.94524e+00, tol = 3.51807e+00, K = 1, iteration = 1846, H = 3.15619e+00\n", + "log(Z): -8.94164e+00, tol = 3.51264e+00, K = 1, iteration = 1847, H = 3.15663e+00\n", + "log(Z): -8.93799e+00, tol = 3.50716e+00, K = 1, iteration = 1848, H = 3.15715e+00\n", + "log(Z): -8.93436e+00, tol = 3.50169e+00, K = 1, iteration = 1849, H = 3.15764e+00\n", + "log(Z): -8.93073e+00, tol = 3.49623e+00, K = 1, iteration = 1850, H = 3.15814e+00\n", + "log(Z): -8.92709e+00, tol = 3.49076e+00, K = 1, iteration = 1851, H = 3.15865e+00\n", + "log(Z): -8.92346e+00, tol = 3.48531e+00, K = 1, iteration = 1852, H = 3.15916e+00\n", + "log(Z): -8.91982e+00, tol = 3.47984e+00, K = 1, iteration = 1853, H = 3.15969e+00\n", + "log(Z): -8.91618e+00, tol = 3.47438e+00, K = 1, iteration = 1854, H = 3.16021e+00\n", + "log(Z): -8.91256e+00, tol = 3.46893e+00, K = 1, iteration = 1855, H = 3.16073e+00\n", + "log(Z): -8.90888e+00, tol = 3.46342e+00, K = 1, iteration = 1856, H = 3.16132e+00\n", + "log(Z): -8.90522e+00, tol = 3.45794e+00, K = 1, iteration = 1857, H = 3.16190e+00\n", + "log(Z): -8.90153e+00, tol = 3.45243e+00, K = 1, iteration = 1858, H = 3.16250e+00\n", + "log(Z): -8.89786e+00, tol = 3.44694e+00, K = 1, iteration = 1859, H = 3.16309e+00\n", + "log(Z): -8.89419e+00, tol = 3.44146e+00, K = 1, iteration = 1860, H = 3.16369e+00\n", + "log(Z): -8.89053e+00, tol = 3.43598e+00, K = 1, iteration = 1861, H = 3.16428e+00\n", + "log(Z): -8.88688e+00, tol = 3.43051e+00, K = 1, iteration = 1862, H = 3.16486e+00\n", + "log(Z): -8.88324e+00, tol = 3.42505e+00, K = 1, iteration = 1863, H = 3.16544e+00\n", + "log(Z): -8.87962e+00, tol = 3.41962e+00, K = 1, iteration = 1864, H = 3.16600e+00\n", + "log(Z): -8.87602e+00, tol = 3.41420e+00, K = 1, iteration = 1865, H = 3.16655e+00\n", + "log(Z): -8.87243e+00, tol = 3.40879e+00, K = 1, iteration = 1866, H = 3.16708e+00\n", + "log(Z): -8.86885e+00, tol = 3.40340e+00, K = 1, iteration = 1867, H = 3.16760e+00\n", + "log(Z): -8.86528e+00, tol = 3.39801e+00, K = 1, iteration = 1868, H = 3.16813e+00\n", + "log(Z): -8.86172e+00, tol = 3.39264e+00, K = 1, iteration = 1869, H = 3.16865e+00\n", + "log(Z): -8.85818e+00, tol = 3.38729e+00, K = 1, iteration = 1870, H = 3.16915e+00\n", + "log(Z): -8.85463e+00, tol = 3.38192e+00, K = 1, iteration = 1871, H = 3.16967e+00\n", + "log(Z): -8.85109e+00, tol = 3.37657e+00, K = 1, iteration = 1872, H = 3.17017e+00\n", + "log(Z): -8.84756e+00, tol = 3.37123e+00, K = 1, iteration = 1873, H = 3.17068e+00\n", + "log(Z): -8.84404e+00, tol = 3.36591e+00, K = 1, iteration = 1874, H = 3.17117e+00\n", + "log(Z): -8.84053e+00, tol = 3.36058e+00, K = 1, iteration = 1875, H = 3.17167e+00\n", + "log(Z): -8.83702e+00, tol = 3.35527e+00, K = 1, iteration = 1876, H = 3.17216e+00\n", + "log(Z): -8.83354e+00, tol = 3.34998e+00, K = 1, iteration = 1877, H = 3.17263e+00\n", + "log(Z): -8.83006e+00, tol = 3.34469e+00, K = 1, iteration = 1878, H = 3.17311e+00\n", + "log(Z): -8.82659e+00, tol = 3.33942e+00, K = 1, iteration = 1879, H = 3.17357e+00\n", + "log(Z): -8.82315e+00, tol = 3.33417e+00, K = 1, iteration = 1880, H = 3.17401e+00\n", + "log(Z): -8.81970e+00, tol = 3.32891e+00, K = 1, iteration = 1881, H = 3.17447e+00\n", + "log(Z): -8.81626e+00, tol = 3.32367e+00, K = 1, iteration = 1882, H = 3.17491e+00\n", + "log(Z): -8.81284e+00, tol = 3.31845e+00, K = 1, iteration = 1883, H = 3.17535e+00\n", + "log(Z): -8.80942e+00, tol = 3.31322e+00, K = 1, iteration = 1884, H = 3.17578e+00\n", + "log(Z): -8.80601e+00, tol = 3.30800e+00, K = 1, iteration = 1885, H = 3.17622e+00\n", + "log(Z): -8.80260e+00, tol = 3.30280e+00, K = 1, iteration = 1886, H = 3.17665e+00\n", + "log(Z): -8.79920e+00, tol = 3.29760e+00, K = 1, iteration = 1887, H = 3.17708e+00\n", + "log(Z): -8.79583e+00, tol = 3.29242e+00, K = 1, iteration = 1888, H = 3.17749e+00\n", + "log(Z): -8.79244e+00, tol = 3.28724e+00, K = 1, iteration = 1889, H = 3.17792e+00\n", + "log(Z): -8.78905e+00, tol = 3.28205e+00, K = 1, iteration = 1890, H = 3.17835e+00\n", + "log(Z): -8.78565e+00, tol = 3.27686e+00, K = 1, iteration = 1891, H = 3.17880e+00\n", + "log(Z): -8.78227e+00, tol = 3.27167e+00, K = 1, iteration = 1892, H = 3.17924e+00\n", + "log(Z): -8.77883e+00, tol = 3.26644e+00, K = 1, iteration = 1893, H = 3.17975e+00\n", + "log(Z): -8.77539e+00, tol = 3.26121e+00, K = 1, iteration = 1894, H = 3.18026e+00\n", + "log(Z): -8.77197e+00, tol = 3.25600e+00, K = 1, iteration = 1895, H = 3.18076e+00\n", + "log(Z): -8.76857e+00, tol = 3.25080e+00, K = 1, iteration = 1896, H = 3.18124e+00\n", + "log(Z): -8.76515e+00, tol = 3.24560e+00, K = 1, iteration = 1897, H = 3.18174e+00\n", + "log(Z): -8.76173e+00, tol = 3.24039e+00, K = 1, iteration = 1898, H = 3.18226e+00\n", + "log(Z): -8.75831e+00, tol = 3.23518e+00, K = 1, iteration = 1899, H = 3.18277e+00\n", + "log(Z): -8.75491e+00, tol = 3.22999e+00, K = 1, iteration = 1900, H = 3.18327e+00\n", + "log(Z): -8.75152e+00, tol = 3.22482e+00, K = 1, iteration = 1901, H = 3.18376e+00\n", + "log(Z): -8.74814e+00, tol = 3.21966e+00, K = 1, iteration = 1902, H = 3.18424e+00\n", + "log(Z): -8.74479e+00, tol = 3.21452e+00, K = 1, iteration = 1903, H = 3.18470e+00\n", + "log(Z): -8.74143e+00, tol = 3.20937e+00, K = 1, iteration = 1904, H = 3.18518e+00\n", + "log(Z): -8.73808e+00, tol = 3.20424e+00, K = 1, iteration = 1905, H = 3.18565e+00\n", + "log(Z): -8.73474e+00, tol = 3.19912e+00, K = 1, iteration = 1906, H = 3.18610e+00\n", + "log(Z): -8.73142e+00, tol = 3.19401e+00, K = 1, iteration = 1907, H = 3.18655e+00\n", + "log(Z): -8.72810e+00, tol = 3.18892e+00, K = 1, iteration = 1908, H = 3.18699e+00\n", + "log(Z): -8.72479e+00, tol = 3.18383e+00, K = 1, iteration = 1909, H = 3.18743e+00\n", + "log(Z): -8.72150e+00, tol = 3.17875e+00, K = 1, iteration = 1910, H = 3.18786e+00\n", + "log(Z): -8.71821e+00, tol = 3.17368e+00, K = 1, iteration = 1911, H = 3.18830e+00\n", + "log(Z): -8.71493e+00, tol = 3.16862e+00, K = 1, iteration = 1912, H = 3.18872e+00\n", + "log(Z): -8.71166e+00, tol = 3.16358e+00, K = 1, iteration = 1913, H = 3.18913e+00\n", + "log(Z): -8.70841e+00, tol = 3.15855e+00, K = 1, iteration = 1914, H = 3.18954e+00\n", + "log(Z): -8.70517e+00, tol = 3.15353e+00, K = 1, iteration = 1915, H = 3.18993e+00\n", + "log(Z): -8.70194e+00, tol = 3.14853e+00, K = 1, iteration = 1916, H = 3.19032e+00\n", + "log(Z): -8.69872e+00, tol = 3.14353e+00, K = 1, iteration = 1917, H = 3.19070e+00\n", + "log(Z): -8.69552e+00, tol = 3.13856e+00, K = 1, iteration = 1918, H = 3.19106e+00\n", + "log(Z): -8.69231e+00, tol = 3.13357e+00, K = 1, iteration = 1919, H = 3.19145e+00\n", + "log(Z): -8.68909e+00, tol = 3.12858e+00, K = 1, iteration = 1920, H = 3.19184e+00\n", + "log(Z): -8.68589e+00, tol = 3.12361e+00, K = 1, iteration = 1921, H = 3.19222e+00\n", + "log(Z): -8.68271e+00, tol = 3.11866e+00, K = 1, iteration = 1922, H = 3.19259e+00\n", + "log(Z): -8.67954e+00, tol = 3.11372e+00, K = 1, iteration = 1923, H = 3.19295e+00\n", + "log(Z): -8.67637e+00, tol = 3.10878e+00, K = 1, iteration = 1924, H = 3.19330e+00\n", + "log(Z): -8.67322e+00, tol = 3.10385e+00, K = 1, iteration = 1925, H = 3.19366e+00\n", + "log(Z): -8.67008e+00, tol = 3.09894e+00, K = 1, iteration = 1926, H = 3.19400e+00\n", + "log(Z): -8.66693e+00, tol = 3.09403e+00, K = 1, iteration = 1927, H = 3.19435e+00\n", + "log(Z): -8.66379e+00, tol = 3.08913e+00, K = 1, iteration = 1928, H = 3.19470e+00\n", + "log(Z): -8.66067e+00, tol = 3.08424e+00, K = 1, iteration = 1929, H = 3.19503e+00\n", + "log(Z): -8.65756e+00, tol = 3.07937e+00, K = 1, iteration = 1930, H = 3.19536e+00\n", + "log(Z): -8.65447e+00, tol = 3.07450e+00, K = 1, iteration = 1931, H = 3.19568e+00\n", + "log(Z): -8.65137e+00, tol = 3.06965e+00, K = 1, iteration = 1932, H = 3.19600e+00\n", + "log(Z): -8.64829e+00, tol = 3.06480e+00, K = 1, iteration = 1933, H = 3.19631e+00\n", + "log(Z): -8.64522e+00, tol = 3.05997e+00, K = 1, iteration = 1934, H = 3.19661e+00\n", + "log(Z): -8.64209e+00, tol = 3.05508e+00, K = 1, iteration = 1935, H = 3.19699e+00\n", + "log(Z): -8.63897e+00, tol = 3.05020e+00, K = 1, iteration = 1936, H = 3.19735e+00\n", + "log(Z): -8.63587e+00, tol = 3.04534e+00, K = 1, iteration = 1937, H = 3.19772e+00\n", + "log(Z): -8.63278e+00, tol = 3.04049e+00, K = 1, iteration = 1938, H = 3.19806e+00\n", + "log(Z): -8.62970e+00, tol = 3.03566e+00, K = 1, iteration = 1939, H = 3.19840e+00\n", + "log(Z): -8.62660e+00, tol = 3.03080e+00, K = 1, iteration = 1940, H = 3.19877e+00\n", + "log(Z): -8.62348e+00, tol = 3.02594e+00, K = 1, iteration = 1941, H = 3.19916e+00\n", + "log(Z): -8.62039e+00, tol = 3.02109e+00, K = 1, iteration = 1942, H = 3.19953e+00\n", + "log(Z): -8.61729e+00, tol = 3.01624e+00, K = 1, iteration = 1943, H = 3.19991e+00\n", + "log(Z): -8.61420e+00, tol = 3.01140e+00, K = 1, iteration = 1944, H = 3.20029e+00\n", + "log(Z): -8.61113e+00, tol = 3.00658e+00, K = 1, iteration = 1945, H = 3.20065e+00\n", + "log(Z): -8.60806e+00, tol = 3.00176e+00, K = 1, iteration = 1946, H = 3.20102e+00\n", + "log(Z): -8.60499e+00, tol = 2.99695e+00, K = 1, iteration = 1947, H = 3.20138e+00\n", + "log(Z): -8.60194e+00, tol = 2.99214e+00, K = 1, iteration = 1948, H = 3.20174e+00\n", + "log(Z): -8.59889e+00, tol = 2.98735e+00, K = 1, iteration = 1949, H = 3.20209e+00\n", + "log(Z): -8.59586e+00, tol = 2.98257e+00, K = 1, iteration = 1950, H = 3.20243e+00\n", + "log(Z): -8.59283e+00, tol = 2.97780e+00, K = 1, iteration = 1951, H = 3.20277e+00\n", + "log(Z): -8.58982e+00, tol = 2.97304e+00, K = 1, iteration = 1952, H = 3.20310e+00\n", + "log(Z): -8.58682e+00, tol = 2.96830e+00, K = 1, iteration = 1953, H = 3.20343e+00\n", + "log(Z): -8.58383e+00, tol = 2.96357e+00, K = 1, iteration = 1954, H = 3.20374e+00\n", + "log(Z): -8.58085e+00, tol = 2.95884e+00, K = 1, iteration = 1955, H = 3.20405e+00\n", + "log(Z): -8.57787e+00, tol = 2.95413e+00, K = 1, iteration = 1956, H = 3.20436e+00\n", + "log(Z): -8.57490e+00, tol = 2.94942e+00, K = 1, iteration = 1957, H = 3.20467e+00\n", + "log(Z): -8.57195e+00, tol = 2.94472e+00, K = 1, iteration = 1958, H = 3.20497e+00\n", + "log(Z): -8.56900e+00, tol = 2.94003e+00, K = 1, iteration = 1959, H = 3.20526e+00\n", + "log(Z): -8.56605e+00, tol = 2.93535e+00, K = 1, iteration = 1960, H = 3.20556e+00\n", + "log(Z): -8.56311e+00, tol = 2.93067e+00, K = 1, iteration = 1961, H = 3.20586e+00\n", + "log(Z): -8.56017e+00, tol = 2.92600e+00, K = 1, iteration = 1962, H = 3.20615e+00\n", + "log(Z): -8.55722e+00, tol = 2.92131e+00, K = 1, iteration = 1963, H = 3.20647e+00\n", + "log(Z): -8.55427e+00, tol = 2.91663e+00, K = 1, iteration = 1964, H = 3.20680e+00\n", + "log(Z): -8.55132e+00, tol = 2.91195e+00, K = 1, iteration = 1965, H = 3.20712e+00\n", + "log(Z): -8.54839e+00, tol = 2.90729e+00, K = 1, iteration = 1966, H = 3.20743e+00\n", + "log(Z): -8.54547e+00, tol = 2.90263e+00, K = 1, iteration = 1967, H = 3.20774e+00\n", + "log(Z): -8.54254e+00, tol = 2.89798e+00, K = 1, iteration = 1968, H = 3.20806e+00\n", + "log(Z): -8.53961e+00, tol = 2.89332e+00, K = 1, iteration = 1969, H = 3.20838e+00\n", + "log(Z): -8.53669e+00, tol = 2.88868e+00, K = 1, iteration = 1970, H = 3.20869e+00\n", + "log(Z): -8.53378e+00, tol = 2.88404e+00, K = 1, iteration = 1971, H = 3.20901e+00\n", + "log(Z): -8.53086e+00, tol = 2.87939e+00, K = 1, iteration = 1972, H = 3.20933e+00\n", + "log(Z): -8.52796e+00, tol = 2.87477e+00, K = 1, iteration = 1973, H = 3.20965e+00\n", + "log(Z): -8.52507e+00, tol = 2.87015e+00, K = 1, iteration = 1974, H = 3.20996e+00\n", + "log(Z): -8.52218e+00, tol = 2.86554e+00, K = 1, iteration = 1975, H = 3.21026e+00\n", + "log(Z): -8.51927e+00, tol = 2.86091e+00, K = 1, iteration = 1976, H = 3.21059e+00\n", + "log(Z): -8.51637e+00, tol = 2.85630e+00, K = 1, iteration = 1977, H = 3.21092e+00\n", + "log(Z): -8.51349e+00, tol = 2.85169e+00, K = 1, iteration = 1978, H = 3.21124e+00\n", + "log(Z): -8.51061e+00, tol = 2.84710e+00, K = 1, iteration = 1979, H = 3.21155e+00\n", + "log(Z): -8.50774e+00, tol = 2.84251e+00, K = 1, iteration = 1980, H = 3.21186e+00\n", + "log(Z): -8.50488e+00, tol = 2.83794e+00, K = 1, iteration = 1981, H = 3.21217e+00\n", + "log(Z): -8.50203e+00, tol = 2.83337e+00, K = 1, iteration = 1982, H = 3.21247e+00\n", + "log(Z): -8.49919e+00, tol = 2.82881e+00, K = 1, iteration = 1983, H = 3.21277e+00\n", + "log(Z): -8.49636e+00, tol = 2.82427e+00, K = 1, iteration = 1984, H = 3.21305e+00\n", + "log(Z): -8.49352e+00, tol = 2.81972e+00, K = 1, iteration = 1985, H = 3.21335e+00\n", + "log(Z): -8.49070e+00, tol = 2.81518e+00, K = 1, iteration = 1986, H = 3.21364e+00\n", + "log(Z): -8.48789e+00, tol = 2.81066e+00, K = 1, iteration = 1987, H = 3.21392e+00\n", + "log(Z): -8.48508e+00, tol = 2.80615e+00, K = 1, iteration = 1988, H = 3.21420e+00\n", + "log(Z): -8.48229e+00, tol = 2.80164e+00, K = 1, iteration = 1989, H = 3.21447e+00\n", + "log(Z): -8.47951e+00, tol = 2.79715e+00, K = 1, iteration = 1990, H = 3.21473e+00\n", + "log(Z): -8.47673e+00, tol = 2.79267e+00, K = 1, iteration = 1991, H = 3.21499e+00\n", + "log(Z): -8.47397e+00, tol = 2.78820e+00, K = 1, iteration = 1992, H = 3.21524e+00\n", + "log(Z): -8.47121e+00, tol = 2.78374e+00, K = 1, iteration = 1993, H = 3.21549e+00\n", + "log(Z): -8.46846e+00, tol = 2.77928e+00, K = 1, iteration = 1994, H = 3.21574e+00\n", + "log(Z): -8.46572e+00, tol = 2.77484e+00, K = 1, iteration = 1995, H = 3.21598e+00\n", + "log(Z): -8.46300e+00, tol = 2.77040e+00, K = 1, iteration = 1996, H = 3.21621e+00\n", + "log(Z): -8.46028e+00, tol = 2.76598e+00, K = 1, iteration = 1997, H = 3.21644e+00\n", + "log(Z): -8.45751e+00, tol = 2.76151e+00, K = 1, iteration = 1998, H = 3.21673e+00\n", + "log(Z): -8.45475e+00, tol = 2.75706e+00, K = 1, iteration = 1999, H = 3.21701e+00\n", + "log(Z): -8.45200e+00, tol = 2.75261e+00, K = 1, iteration = 2000, H = 3.21728e+00\n", + "log(Z): -8.44927e+00, tol = 2.74818e+00, K = 1, iteration = 2001, H = 3.21754e+00\n", + "log(Z): -8.44651e+00, tol = 2.74373e+00, K = 1, iteration = 2002, H = 3.21784e+00\n", + "log(Z): -8.44376e+00, tol = 2.73929e+00, K = 1, iteration = 2003, H = 3.21812e+00\n", + "log(Z): -8.44103e+00, tol = 2.73486e+00, K = 1, iteration = 2004, H = 3.21840e+00\n", + "log(Z): -8.43830e+00, tol = 2.73044e+00, K = 1, iteration = 2005, H = 3.21868e+00\n", + "log(Z): -8.43558e+00, tol = 2.72603e+00, K = 1, iteration = 2006, H = 3.21894e+00\n", + "log(Z): -8.43288e+00, tol = 2.72163e+00, K = 1, iteration = 2007, H = 3.21920e+00\n", + "log(Z): -8.43019e+00, tol = 2.71725e+00, K = 1, iteration = 2008, H = 3.21945e+00\n", + "log(Z): -8.42749e+00, tol = 2.71287e+00, K = 1, iteration = 2009, H = 3.21971e+00\n", + "log(Z): -8.42477e+00, tol = 2.70846e+00, K = 1, iteration = 2010, H = 3.22000e+00\n", + "log(Z): -8.42206e+00, tol = 2.70406e+00, K = 1, iteration = 2011, H = 3.22029e+00\n", + "log(Z): -8.41935e+00, tol = 2.69966e+00, K = 1, iteration = 2012, H = 3.22058e+00\n", + "log(Z): -8.41663e+00, tol = 2.69527e+00, K = 1, iteration = 2013, H = 3.22087e+00\n", + "log(Z): -8.41393e+00, tol = 2.69088e+00, K = 1, iteration = 2014, H = 3.22117e+00\n", + "log(Z): -8.41123e+00, tol = 2.68650e+00, K = 1, iteration = 2015, H = 3.22146e+00\n", + "log(Z): -8.40855e+00, tol = 2.68214e+00, K = 1, iteration = 2016, H = 3.22173e+00\n", + "log(Z): -8.40586e+00, tol = 2.67778e+00, K = 1, iteration = 2017, H = 3.22202e+00\n", + "log(Z): -8.40318e+00, tol = 2.67342e+00, K = 1, iteration = 2018, H = 3.22230e+00\n", + "log(Z): -8.40051e+00, tol = 2.66907e+00, K = 1, iteration = 2019, H = 3.22258e+00\n", + "log(Z): -8.39784e+00, tol = 2.66472e+00, K = 1, iteration = 2020, H = 3.22286e+00\n", + "log(Z): -8.39517e+00, tol = 2.66038e+00, K = 1, iteration = 2021, H = 3.22315e+00\n", + "log(Z): -8.39251e+00, tol = 2.65604e+00, K = 1, iteration = 2022, H = 3.22343e+00\n", + "log(Z): -8.38982e+00, tol = 2.65168e+00, K = 1, iteration = 2023, H = 3.22375e+00\n", + "log(Z): -8.38713e+00, tol = 2.64733e+00, K = 1, iteration = 2024, H = 3.22407e+00\n", + "log(Z): -8.38443e+00, tol = 2.64296e+00, K = 1, iteration = 2025, H = 3.22440e+00\n", + "log(Z): -8.38174e+00, tol = 2.63860e+00, K = 1, iteration = 2026, H = 3.22473e+00\n", + "log(Z): -8.37904e+00, tol = 2.63425e+00, K = 1, iteration = 2027, H = 3.22507e+00\n", + "log(Z): -8.37636e+00, tol = 2.62990e+00, K = 1, iteration = 2028, H = 3.22540e+00\n", + "log(Z): -8.37368e+00, tol = 2.62556e+00, K = 1, iteration = 2029, H = 3.22573e+00\n", + "log(Z): -8.37101e+00, tol = 2.62123e+00, K = 1, iteration = 2030, H = 3.22606e+00\n", + "log(Z): -8.36834e+00, tol = 2.61690e+00, K = 1, iteration = 2031, H = 3.22639e+00\n", + "log(Z): -8.36567e+00, tol = 2.61257e+00, K = 1, iteration = 2032, H = 3.22673e+00\n", + "log(Z): -8.36300e+00, tol = 2.60825e+00, K = 1, iteration = 2033, H = 3.22706e+00\n", + "log(Z): -8.36034e+00, tol = 2.60393e+00, K = 1, iteration = 2034, H = 3.22740e+00\n", + "log(Z): -8.35769e+00, tol = 2.59962e+00, K = 1, iteration = 2035, H = 3.22772e+00\n", + "log(Z): -8.35505e+00, tol = 2.59532e+00, K = 1, iteration = 2036, H = 3.22805e+00\n", + "log(Z): -8.35241e+00, tol = 2.59103e+00, K = 1, iteration = 2037, H = 3.22837e+00\n", + "log(Z): -8.34979e+00, tol = 2.58676e+00, K = 1, iteration = 2038, H = 3.22867e+00\n", + "log(Z): -8.34717e+00, tol = 2.58249e+00, K = 1, iteration = 2039, H = 3.22898e+00\n", + "log(Z): -8.34457e+00, tol = 2.57823e+00, K = 1, iteration = 2040, H = 3.22928e+00\n", + "log(Z): -8.34196e+00, tol = 2.57397e+00, K = 1, iteration = 2041, H = 3.22959e+00\n", + "log(Z): -8.33935e+00, tol = 2.56972e+00, K = 1, iteration = 2042, H = 3.22989e+00\n", + "log(Z): -8.33675e+00, tol = 2.56548e+00, K = 1, iteration = 2043, H = 3.23019e+00\n", + "log(Z): -8.33417e+00, tol = 2.56124e+00, K = 1, iteration = 2044, H = 3.23049e+00\n", + "log(Z): -8.33159e+00, tol = 2.55702e+00, K = 1, iteration = 2045, H = 3.23078e+00\n", + "log(Z): -8.32901e+00, tol = 2.55279e+00, K = 1, iteration = 2046, H = 3.23107e+00\n", + "log(Z): -8.32644e+00, tol = 2.54858e+00, K = 1, iteration = 2047, H = 3.23136e+00\n", + "log(Z): -8.32388e+00, tol = 2.54438e+00, K = 1, iteration = 2048, H = 3.23164e+00\n", + "log(Z): -8.32133e+00, tol = 2.54019e+00, K = 1, iteration = 2049, H = 3.23192e+00\n", + "log(Z): -8.31878e+00, tol = 2.53600e+00, K = 1, iteration = 2050, H = 3.23220e+00\n", + "log(Z): -8.31623e+00, tol = 2.53181e+00, K = 1, iteration = 2051, H = 3.23249e+00\n", + "log(Z): -8.31368e+00, tol = 2.52762e+00, K = 1, iteration = 2052, H = 3.23277e+00\n", + "log(Z): -8.31115e+00, tol = 2.52345e+00, K = 1, iteration = 2053, H = 3.23305e+00\n", + "log(Z): -8.30861e+00, tol = 2.51927e+00, K = 1, iteration = 2054, H = 3.23334e+00\n", + "log(Z): -8.30604e+00, tol = 2.51508e+00, K = 1, iteration = 2055, H = 3.23365e+00\n", + "log(Z): -8.30348e+00, tol = 2.51089e+00, K = 1, iteration = 2056, H = 3.23397e+00\n", + "log(Z): -8.30093e+00, tol = 2.50671e+00, K = 1, iteration = 2057, H = 3.23428e+00\n", + "log(Z): -8.29838e+00, tol = 2.50253e+00, K = 1, iteration = 2058, H = 3.23460e+00\n", + "log(Z): -8.29584e+00, tol = 2.49836e+00, K = 1, iteration = 2059, H = 3.23491e+00\n", + "log(Z): -8.29329e+00, tol = 2.49419e+00, K = 1, iteration = 2060, H = 3.23523e+00\n", + "log(Z): -8.29072e+00, tol = 2.49000e+00, K = 1, iteration = 2061, H = 3.23558e+00\n", + "log(Z): -8.28817e+00, tol = 2.48582e+00, K = 1, iteration = 2062, H = 3.23591e+00\n", + "log(Z): -8.28561e+00, tol = 2.48164e+00, K = 1, iteration = 2063, H = 3.23626e+00\n", + "log(Z): -8.28305e+00, tol = 2.47746e+00, K = 1, iteration = 2064, H = 3.23661e+00\n", + "log(Z): -8.28049e+00, tol = 2.47329e+00, K = 1, iteration = 2065, H = 3.23697e+00\n", + "log(Z): -8.27795e+00, tol = 2.46913e+00, K = 1, iteration = 2066, H = 3.23731e+00\n", + "log(Z): -8.27540e+00, tol = 2.46497e+00, K = 1, iteration = 2067, H = 3.23765e+00\n", + "log(Z): -8.27286e+00, tol = 2.46082e+00, K = 1, iteration = 2068, H = 3.23800e+00\n", + "log(Z): -8.27034e+00, tol = 2.45668e+00, K = 1, iteration = 2069, H = 3.23834e+00\n", + "log(Z): -8.26781e+00, tol = 2.45254e+00, K = 1, iteration = 2070, H = 3.23867e+00\n", + "log(Z): -8.26530e+00, tol = 2.44842e+00, K = 1, iteration = 2071, H = 3.23900e+00\n", + "log(Z): -8.26279e+00, tol = 2.44430e+00, K = 1, iteration = 2072, H = 3.23932e+00\n", + "log(Z): -8.26029e+00, tol = 2.44020e+00, K = 1, iteration = 2073, H = 3.23965e+00\n", + "log(Z): -8.25780e+00, tol = 2.43610e+00, K = 1, iteration = 2074, H = 3.23996e+00\n", + "log(Z): -8.25532e+00, tol = 2.43201e+00, K = 1, iteration = 2075, H = 3.24027e+00\n", + "log(Z): -8.25281e+00, tol = 2.42789e+00, K = 1, iteration = 2076, H = 3.24062e+00\n", + "log(Z): -8.25031e+00, tol = 2.42379e+00, K = 1, iteration = 2077, H = 3.24096e+00\n", + "log(Z): -8.24782e+00, tol = 2.41970e+00, K = 1, iteration = 2078, H = 3.24129e+00\n", + "log(Z): -8.24533e+00, tol = 2.41561e+00, K = 1, iteration = 2079, H = 3.24162e+00\n", + "log(Z): -8.24286e+00, tol = 2.41154e+00, K = 1, iteration = 2080, H = 3.24194e+00\n", + "log(Z): -8.24040e+00, tol = 2.40748e+00, K = 1, iteration = 2081, H = 3.24225e+00\n", + "log(Z): -8.23794e+00, tol = 2.40342e+00, K = 1, iteration = 2082, H = 3.24256e+00\n", + "log(Z): -8.23549e+00, tol = 2.39937e+00, K = 1, iteration = 2083, H = 3.24287e+00\n", + "log(Z): 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2.35129e+00, K = 1, iteration = 2095, H = 3.24644e+00\n", + "log(Z): -8.20409e+00, tol = 2.34733e+00, K = 1, iteration = 2096, H = 3.24673e+00\n", + "log(Z): -8.20172e+00, tol = 2.34337e+00, K = 1, iteration = 2097, H = 3.24701e+00\n", + "log(Z): -8.19935e+00, tol = 2.33942e+00, K = 1, iteration = 2098, H = 3.24728e+00\n", + "log(Z): -8.19699e+00, tol = 2.33548e+00, K = 1, iteration = 2099, H = 3.24756e+00\n", + "log(Z): -8.19463e+00, tol = 2.33155e+00, K = 1, iteration = 2100, H = 3.24783e+00\n", + "log(Z): -8.19227e+00, tol = 2.32762e+00, K = 1, iteration = 2101, H = 3.24810e+00\n", + "log(Z): -8.18991e+00, tol = 2.32368e+00, K = 1, iteration = 2102, H = 3.24840e+00\n", + "log(Z): -8.18754e+00, tol = 2.31973e+00, K = 1, iteration = 2103, H = 3.24870e+00\n", + "log(Z): -8.18517e+00, tol = 2.31580e+00, K = 1, iteration = 2104, H = 3.24899e+00\n", + "log(Z): -8.18281e+00, tol = 2.31187e+00, K = 1, iteration = 2105, H = 3.24929e+00\n", + "log(Z): -8.18045e+00, tol = 2.30794e+00, K = 1, 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3.25285e+00\n", + "log(Z): -8.15243e+00, tol = 2.26122e+00, K = 1, iteration = 2118, H = 3.25316e+00\n", + "log(Z): -8.15011e+00, tol = 2.25735e+00, K = 1, iteration = 2119, H = 3.25347e+00\n", + "log(Z): -8.14780e+00, tol = 2.25349e+00, K = 1, iteration = 2120, H = 3.25377e+00\n", + "log(Z): -8.14549e+00, tol = 2.24964e+00, K = 1, iteration = 2121, H = 3.25407e+00\n", + "log(Z): -8.14319e+00, tol = 2.24579e+00, K = 1, iteration = 2122, H = 3.25436e+00\n", + "log(Z): -8.14090e+00, tol = 2.24195e+00, K = 1, iteration = 2123, H = 3.25466e+00\n", + "log(Z): -8.13860e+00, tol = 2.23811e+00, K = 1, iteration = 2124, H = 3.25496e+00\n", + "log(Z): -8.13632e+00, tol = 2.23429e+00, K = 1, iteration = 2125, H = 3.25524e+00\n", + "log(Z): -8.13404e+00, tol = 2.23047e+00, K = 1, iteration = 2126, H = 3.25553e+00\n", + "log(Z): -8.13177e+00, tol = 2.22666e+00, K = 1, iteration = 2127, H = 3.25581e+00\n", + "log(Z): -8.12951e+00, tol = 2.22286e+00, K = 1, iteration = 2128, H = 3.25609e+00\n", + 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2.13695e+00, K = 1, iteration = 2151, H = 3.26220e+00\n", + "log(Z): -8.07647e+00, tol = 2.13326e+00, K = 1, iteration = 2152, H = 3.26248e+00\n", + "log(Z): -8.07429e+00, tol = 2.12958e+00, K = 1, iteration = 2153, H = 3.26276e+00\n", + "log(Z): -8.07211e+00, tol = 2.12590e+00, K = 1, iteration = 2154, H = 3.26304e+00\n", + "log(Z): -8.06993e+00, tol = 2.12222e+00, K = 1, iteration = 2155, H = 3.26333e+00\n", + "log(Z): -8.06777e+00, tol = 2.11856e+00, K = 1, iteration = 2156, H = 3.26360e+00\n", + "log(Z): -8.06561e+00, tol = 2.11490e+00, K = 1, iteration = 2157, H = 3.26387e+00\n", + "log(Z): -8.06346e+00, tol = 2.11125e+00, K = 1, iteration = 2158, H = 3.26414e+00\n", + "log(Z): -8.06130e+00, tol = 2.10760e+00, K = 1, iteration = 2159, H = 3.26441e+00\n", + "log(Z): -8.05916e+00, tol = 2.10396e+00, K = 1, iteration = 2160, H = 3.26467e+00\n", + "log(Z): -8.05703e+00, tol = 2.10033e+00, K = 1, iteration = 2161, H = 3.26493e+00\n", + "log(Z): -8.05489e+00, tol = 2.09670e+00, K = 1, iteration = 2162, H = 3.26521e+00\n", + "log(Z): -8.05275e+00, tol = 2.09307e+00, K = 1, iteration = 2163, H = 3.26547e+00\n", + "log(Z): -8.05062e+00, tol = 2.08945e+00, K = 1, iteration = 2164, H = 3.26574e+00\n", + "log(Z): -8.04849e+00, tol = 2.08583e+00, K = 1, iteration = 2165, H = 3.26601e+00\n", + "log(Z): -8.04636e+00, tol = 2.08222e+00, K = 1, iteration = 2166, H = 3.26628e+00\n", + "log(Z): -8.04424e+00, tol = 2.07861e+00, K = 1, iteration = 2167, H = 3.26654e+00\n", + "log(Z): -8.04213e+00, tol = 2.07502e+00, K = 1, iteration = 2168, H = 3.26680e+00\n", + "log(Z): -8.04002e+00, tol = 2.07143e+00, K = 1, iteration = 2169, H = 3.26706e+00\n", + "log(Z): -8.03792e+00, tol = 2.06785e+00, K = 1, iteration = 2170, H = 3.26731e+00\n", + "log(Z): -8.03583e+00, tol = 2.06427e+00, K = 1, iteration = 2171, H = 3.26756e+00\n", + "log(Z): -8.03373e+00, tol = 2.06069e+00, K = 1, iteration = 2172, H = 3.26782e+00\n", + "log(Z): -8.03164e+00, tol = 2.05713e+00, K = 1, iteration = 2173, H = 3.26807e+00\n", + "log(Z): -8.02956e+00, tol = 2.05356e+00, K = 1, iteration = 2174, H = 3.26832e+00\n", + "log(Z): -8.02748e+00, tol = 2.05001e+00, K = 1, iteration = 2175, H = 3.26857e+00\n", + "log(Z): -8.02541e+00, tol = 2.04646e+00, K = 1, iteration = 2176, H = 3.26881e+00\n", + "log(Z): -8.02334e+00, tol = 2.04292e+00, K = 1, iteration = 2177, H = 3.26905e+00\n", + "log(Z): -8.02128e+00, tol = 2.03939e+00, K = 1, iteration = 2178, H = 3.26929e+00\n", + "log(Z): -8.01923e+00, tol = 2.03586e+00, K = 1, iteration = 2179, H = 3.26953e+00\n", + "log(Z): -8.01718e+00, tol = 2.03235e+00, K = 1, iteration = 2180, H = 3.26976e+00\n", + "log(Z): -8.01514e+00, tol = 2.02884e+00, K = 1, iteration = 2181, H = 3.26998e+00\n", + "log(Z): -8.01310e+00, tol = 2.02533e+00, K = 1, iteration = 2182, H = 3.27021e+00\n", + "log(Z): -8.01107e+00, tol = 2.02183e+00, K = 1, iteration = 2183, H = 3.27043e+00\n", + "log(Z): -8.00905e+00, tol = 2.01834e+00, K = 1, iteration = 2184, H = 3.27065e+00\n", + 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1.93969e+00, K = 1, iteration = 2207, H = 3.27527e+00\n", + "log(Z): -7.96186e+00, tol = 1.93634e+00, K = 1, iteration = 2208, H = 3.27545e+00\n", + "log(Z): -7.95995e+00, tol = 1.93300e+00, K = 1, iteration = 2209, H = 3.27563e+00\n", + "log(Z): -7.95805e+00, tol = 1.92966e+00, K = 1, iteration = 2210, H = 3.27581e+00\n", + "log(Z): -7.95616e+00, tol = 1.92633e+00, K = 1, iteration = 2211, H = 3.27598e+00\n", + "log(Z): -7.95427e+00, tol = 1.92301e+00, K = 1, iteration = 2212, H = 3.27615e+00\n", + "log(Z): -7.95237e+00, tol = 1.91968e+00, K = 1, iteration = 2213, H = 3.27634e+00\n", + "log(Z): -7.95047e+00, tol = 1.91636e+00, K = 1, iteration = 2214, H = 3.27652e+00\n", + "log(Z): -7.94859e+00, tol = 1.91304e+00, K = 1, iteration = 2215, H = 3.27670e+00\n", + "log(Z): -7.94670e+00, tol = 1.90973e+00, K = 1, iteration = 2216, H = 3.27687e+00\n", + "log(Z): -7.94482e+00, tol = 1.90643e+00, K = 1, iteration = 2217, H = 3.27706e+00\n", + "log(Z): -7.94294e+00, tol = 1.90313e+00, K = 1, iteration = 2218, H = 3.27724e+00\n", + "log(Z): -7.94106e+00, tol = 1.89983e+00, K = 1, iteration = 2219, H = 3.27742e+00\n", + "log(Z): -7.93919e+00, tol = 1.89653e+00, K = 1, iteration = 2220, H = 3.27760e+00\n", + "log(Z): -7.93731e+00, tol = 1.89324e+00, K = 1, iteration = 2221, H = 3.27778e+00\n", + "log(Z): -7.93544e+00, tol = 1.88995e+00, K = 1, iteration = 2222, H = 3.27797e+00\n", + "log(Z): -7.93357e+00, tol = 1.88667e+00, K = 1, iteration = 2223, H = 3.27815e+00\n", + "log(Z): -7.93170e+00, tol = 1.88339e+00, K = 1, iteration = 2224, H = 3.27834e+00\n", + "log(Z): -7.92984e+00, tol = 1.88011e+00, K = 1, iteration = 2225, H = 3.27853e+00\n", + "log(Z): -7.92798e+00, tol = 1.87684e+00, K = 1, iteration = 2226, H = 3.27872e+00\n", + "log(Z): -7.92611e+00, tol = 1.87357e+00, K = 1, iteration = 2227, H = 3.27891e+00\n", + "log(Z): -7.92425e+00, tol = 1.87030e+00, K = 1, iteration = 2228, H = 3.27911e+00\n", + "log(Z): -7.92239e+00, tol = 1.86704e+00, K = 1, iteration = 2229, H = 3.27930e+00\n", + "log(Z): -7.92054e+00, tol = 1.86378e+00, K = 1, iteration = 2230, H = 3.27949e+00\n", + "log(Z): -7.91869e+00, tol = 1.86053e+00, K = 1, iteration = 2231, H = 3.27968e+00\n", + "log(Z): -7.91685e+00, tol = 1.85729e+00, K = 1, iteration = 2232, H = 3.27987e+00\n", + "log(Z): -7.91501e+00, tol = 1.85405e+00, K = 1, iteration = 2233, H = 3.28005e+00\n", + "log(Z): -7.91318e+00, tol = 1.85082e+00, K = 1, iteration = 2234, H = 3.28023e+00\n", + "log(Z): -7.91135e+00, tol = 1.84760e+00, K = 1, iteration = 2235, H = 3.28041e+00\n", + "log(Z): -7.90954e+00, tol = 1.84438e+00, K = 1, iteration = 2236, H = 3.28058e+00\n", + "log(Z): -7.90771e+00, tol = 1.84116e+00, K = 1, iteration = 2237, H = 3.28076e+00\n", + "log(Z): -7.90590e+00, tol = 1.83795e+00, K = 1, iteration = 2238, H = 3.28094e+00\n", + "log(Z): -7.90408e+00, tol = 1.83475e+00, K = 1, iteration = 2239, H = 3.28112e+00\n", + "log(Z): -7.90228e+00, tol = 1.83155e+00, K = 1, iteration = 2240, H = 3.28129e+00\n", + 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1.75883e+00, K = 1, iteration = 2263, H = 3.28581e+00\n", + "log(Z): -7.85929e+00, tol = 1.75571e+00, K = 1, iteration = 2264, H = 3.28602e+00\n", + "log(Z): -7.85753e+00, tol = 1.75259e+00, K = 1, iteration = 2265, H = 3.28623e+00\n", + "log(Z): -7.85577e+00, tol = 1.74949e+00, K = 1, iteration = 2266, H = 3.28643e+00\n", + "log(Z): -7.85401e+00, tol = 1.74638e+00, K = 1, iteration = 2267, H = 3.28664e+00\n", + "log(Z): -7.85225e+00, tol = 1.74328e+00, K = 1, iteration = 2268, H = 3.28685e+00\n", + "log(Z): -7.85050e+00, tol = 1.74019e+00, K = 1, iteration = 2269, H = 3.28705e+00\n", + "log(Z): -7.84876e+00, tol = 1.73710e+00, K = 1, iteration = 2270, H = 3.28725e+00\n", + "log(Z): -7.84702e+00, tol = 1.73402e+00, K = 1, iteration = 2271, H = 3.28745e+00\n", + "log(Z): -7.84528e+00, tol = 1.73095e+00, K = 1, iteration = 2272, H = 3.28765e+00\n", + "log(Z): -7.84354e+00, tol = 1.72787e+00, K = 1, iteration = 2273, H = 3.28786e+00\n", + "log(Z): -7.84179e+00, tol = 1.72479e+00, K = 1, iteration = 2274, H = 3.28808e+00\n", + "log(Z): -7.84004e+00, tol = 1.72171e+00, K = 1, iteration = 2275, H = 3.28830e+00\n", + "log(Z): -7.83830e+00, tol = 1.71864e+00, K = 1, iteration = 2276, H = 3.28851e+00\n", + "log(Z): -7.83657e+00, tol = 1.71557e+00, K = 1, iteration = 2277, H = 3.28872e+00\n", + "log(Z): -7.83483e+00, tol = 1.71251e+00, K = 1, iteration = 2278, H = 3.28894e+00\n", + "log(Z): -7.83310e+00, tol = 1.70945e+00, K = 1, iteration = 2279, H = 3.28915e+00\n", + "log(Z): -7.83137e+00, tol = 1.70640e+00, K = 1, iteration = 2280, H = 3.28937e+00\n", + "log(Z): -7.82964e+00, tol = 1.70335e+00, K = 1, iteration = 2281, H = 3.28959e+00\n", + "log(Z): -7.82792e+00, tol = 1.70031e+00, K = 1, iteration = 2282, H = 3.28980e+00\n", + "log(Z): -7.82620e+00, tol = 1.69727e+00, K = 1, iteration = 2283, H = 3.29001e+00\n", + "log(Z): -7.82449e+00, tol = 1.69424e+00, K = 1, iteration = 2284, H = 3.29022e+00\n", + "log(Z): -7.82278e+00, tol = 1.69121e+00, K = 1, iteration = 2285, H = 3.29043e+00\n", + "log(Z): -7.82107e+00, tol = 1.68818e+00, K = 1, iteration = 2286, H = 3.29064e+00\n", + "log(Z): -7.81936e+00, tol = 1.68516e+00, K = 1, iteration = 2287, H = 3.29085e+00\n", + "log(Z): -7.81766e+00, tol = 1.68215e+00, K = 1, iteration = 2288, H = 3.29106e+00\n", + "log(Z): -7.81595e+00, tol = 1.67913e+00, K = 1, iteration = 2289, H = 3.29128e+00\n", + "log(Z): -7.81424e+00, tol = 1.67611e+00, K = 1, iteration = 2290, H = 3.29151e+00\n", + "log(Z): -7.81253e+00, tol = 1.67309e+00, K = 1, iteration = 2291, H = 3.29174e+00\n", + "log(Z): -7.81082e+00, tol = 1.67009e+00, K = 1, iteration = 2292, H = 3.29196e+00\n", + "log(Z): -7.80913e+00, tol = 1.66709e+00, K = 1, iteration = 2293, H = 3.29218e+00\n", + "log(Z): -7.80743e+00, tol = 1.66409e+00, K = 1, iteration = 2294, H = 3.29240e+00\n", + "log(Z): -7.80574e+00, tol = 1.66110e+00, K = 1, iteration = 2295, H = 3.29262e+00\n", + "log(Z): -7.80405e+00, tol = 1.65811e+00, K = 1, iteration = 2296, H = 3.29283e+00\n", + 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1.59037e+00, K = 1, iteration = 2319, H = 3.29814e+00\n", + "log(Z): -7.76404e+00, tol = 1.58747e+00, K = 1, iteration = 2320, H = 3.29838e+00\n", + "log(Z): -7.76240e+00, tol = 1.58458e+00, K = 1, iteration = 2321, H = 3.29861e+00\n", + "log(Z): -7.76076e+00, tol = 1.58169e+00, K = 1, iteration = 2322, H = 3.29885e+00\n", + "log(Z): -7.75912e+00, tol = 1.57880e+00, K = 1, iteration = 2323, H = 3.29908e+00\n", + "log(Z): -7.75750e+00, tol = 1.57592e+00, K = 1, iteration = 2324, H = 3.29931e+00\n", + "log(Z): -7.75587e+00, tol = 1.57305e+00, K = 1, iteration = 2325, H = 3.29955e+00\n", + "log(Z): -7.75425e+00, tol = 1.57018e+00, K = 1, iteration = 2326, H = 3.29977e+00\n", + "log(Z): -7.75264e+00, tol = 1.56732e+00, K = 1, iteration = 2327, H = 3.30000e+00\n", + "log(Z): -7.75102e+00, tol = 1.56446e+00, K = 1, iteration = 2328, H = 3.30022e+00\n", + "log(Z): -7.74941e+00, tol = 1.56161e+00, K = 1, iteration = 2329, H = 3.30045e+00\n", + "log(Z): -7.74781e+00, tol = 1.55876e+00, K = 1, iteration = 2330, H = 3.30067e+00\n", + "log(Z): -7.74620e+00, tol = 1.55591e+00, K = 1, iteration = 2331, H = 3.30090e+00\n", + "log(Z): -7.74459e+00, tol = 1.55306e+00, K = 1, iteration = 2332, H = 3.30113e+00\n", + "log(Z): -7.74298e+00, tol = 1.55022e+00, K = 1, iteration = 2333, H = 3.30137e+00\n", + "log(Z): -7.74138e+00, tol = 1.54738e+00, K = 1, iteration = 2334, H = 3.30160e+00\n", + "log(Z): -7.73978e+00, tol = 1.54455e+00, K = 1, iteration = 2335, H = 3.30183e+00\n", + "log(Z): -7.73818e+00, tol = 1.54172e+00, K = 1, iteration = 2336, H = 3.30206e+00\n", + "log(Z): -7.73659e+00, tol = 1.53890e+00, K = 1, iteration = 2337, H = 3.30229e+00\n", + "log(Z): -7.73500e+00, tol = 1.53608e+00, K = 1, iteration = 2338, H = 3.30251e+00\n", + "log(Z): -7.73341e+00, tol = 1.53326e+00, K = 1, iteration = 2339, H = 3.30275e+00\n", + "log(Z): -7.73182e+00, tol = 1.53045e+00, K = 1, iteration = 2340, H = 3.30298e+00\n", + "log(Z): -7.73023e+00, tol = 1.52764e+00, K = 1, iteration = 2341, H = 3.30321e+00\n", + "log(Z): -7.72865e+00, tol = 1.52484e+00, K = 1, iteration = 2342, H = 3.30344e+00\n", + "log(Z): -7.72708e+00, tol = 1.52204e+00, K = 1, iteration = 2343, H = 3.30366e+00\n", + "log(Z): -7.72550e+00, tol = 1.51925e+00, K = 1, iteration = 2344, H = 3.30389e+00\n", + "log(Z): -7.72393e+00, tol = 1.51646e+00, K = 1, iteration = 2345, H = 3.30412e+00\n", + "log(Z): -7.72236e+00, tol = 1.51368e+00, K = 1, iteration = 2346, H = 3.30434e+00\n", + "log(Z): -7.72080e+00, tol = 1.51090e+00, K = 1, iteration = 2347, H = 3.30457e+00\n", + "log(Z): -7.71924e+00, tol = 1.50812e+00, K = 1, iteration = 2348, H = 3.30479e+00\n", + "log(Z): -7.71767e+00, tol = 1.50535e+00, K = 1, iteration = 2349, H = 3.30502e+00\n", + "log(Z): -7.71612e+00, tol = 1.50258e+00, K = 1, iteration = 2350, H = 3.30524e+00\n", + "log(Z): -7.71456e+00, tol = 1.49982e+00, K = 1, iteration = 2351, H = 3.30546e+00\n", + "log(Z): -7.71302e+00, tol = 1.49707e+00, K = 1, iteration = 2352, H = 3.30568e+00\n", + 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1.43440e+00, K = 1, iteration = 2375, H = 3.31132e+00\n", + "log(Z): -7.67602e+00, tol = 1.43173e+00, K = 1, iteration = 2376, H = 3.31156e+00\n", + "log(Z): -7.67452e+00, tol = 1.42907e+00, K = 1, iteration = 2377, H = 3.31178e+00\n", + "log(Z): -7.67303e+00, tol = 1.42641e+00, K = 1, iteration = 2378, H = 3.31201e+00\n", + "log(Z): -7.67154e+00, tol = 1.42376e+00, K = 1, iteration = 2379, H = 3.31223e+00\n", + "log(Z): -7.67006e+00, tol = 1.42112e+00, K = 1, iteration = 2380, H = 3.31245e+00\n", + "log(Z): -7.66858e+00, tol = 1.41848e+00, K = 1, iteration = 2381, H = 3.31267e+00\n", + "log(Z): -7.66710e+00, tol = 1.41585e+00, K = 1, iteration = 2382, H = 3.31289e+00\n", + "log(Z): -7.66562e+00, tol = 1.41321e+00, K = 1, iteration = 2383, H = 3.31311e+00\n", + "log(Z): -7.66415e+00, tol = 1.41059e+00, K = 1, iteration = 2384, H = 3.31332e+00\n", + "log(Z): -7.66268e+00, tol = 1.40797e+00, K = 1, iteration = 2385, H = 3.31354e+00\n", + "log(Z): -7.66121e+00, tol = 1.40535e+00, K = 1, iteration = 2386, H = 3.31376e+00\n", + "log(Z): -7.65974e+00, tol = 1.40273e+00, K = 1, iteration = 2387, H = 3.31398e+00\n", + "log(Z): -7.65828e+00, tol = 1.40012e+00, K = 1, iteration = 2388, H = 3.31420e+00\n", + "log(Z): -7.65681e+00, tol = 1.39751e+00, K = 1, iteration = 2389, H = 3.31443e+00\n", + "log(Z): -7.65534e+00, tol = 1.39490e+00, K = 1, iteration = 2390, H = 3.31465e+00\n", + "log(Z): -7.65388e+00, tol = 1.39229e+00, K = 1, iteration = 2391, H = 3.31488e+00\n", + "log(Z): -7.65242e+00, tol = 1.38970e+00, K = 1, iteration = 2392, H = 3.31510e+00\n", + "log(Z): -7.65097e+00, tol = 1.38710e+00, K = 1, iteration = 2393, H = 3.31532e+00\n", + "log(Z): -7.64952e+00, tol = 1.38451e+00, K = 1, iteration = 2394, H = 3.31554e+00\n", + "log(Z): -7.64807e+00, tol = 1.38193e+00, K = 1, iteration = 2395, H = 3.31576e+00\n", + "log(Z): -7.64662e+00, tol = 1.37935e+00, K = 1, iteration = 2396, H = 3.31598e+00\n", + "log(Z): -7.64517e+00, tol = 1.37677e+00, K = 1, iteration = 2397, H = 3.31620e+00\n", + "log(Z): -7.64373e+00, tol = 1.37420e+00, K = 1, iteration = 2398, H = 3.31641e+00\n", + "log(Z): -7.64229e+00, tol = 1.37163e+00, K = 1, iteration = 2399, H = 3.31664e+00\n", + "log(Z): -7.64085e+00, tol = 1.36906e+00, K = 1, iteration = 2400, H = 3.31686e+00\n", + "log(Z): -7.63941e+00, tol = 1.36650e+00, K = 1, iteration = 2401, H = 3.31708e+00\n", + "log(Z): -7.63797e+00, tol = 1.36394e+00, K = 1, iteration = 2402, H = 3.31730e+00\n", + "log(Z): -7.63655e+00, tol = 1.36139e+00, K = 1, iteration = 2403, H = 3.31752e+00\n", + "log(Z): -7.63512e+00, tol = 1.35884e+00, K = 1, iteration = 2404, H = 3.31774e+00\n", + "log(Z): -7.63369e+00, tol = 1.35630e+00, K = 1, iteration = 2405, H = 3.31795e+00\n", + "log(Z): -7.63227e+00, tol = 1.35376e+00, K = 1, iteration = 2406, H = 3.31817e+00\n", + "log(Z): -7.63085e+00, tol = 1.35123e+00, K = 1, iteration = 2407, H = 3.31838e+00\n", + "log(Z): -7.62944e+00, tol = 1.34870e+00, K = 1, iteration = 2408, H = 3.31859e+00\n", + 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1.29160e+00, K = 1, iteration = 2431, H = 3.32345e+00\n", + "log(Z): -7.59616e+00, tol = 1.28916e+00, K = 1, iteration = 2432, H = 3.32367e+00\n", + "log(Z): -7.59479e+00, tol = 1.28672e+00, K = 1, iteration = 2433, H = 3.32389e+00\n", + "log(Z): -7.59343e+00, tol = 1.28429e+00, K = 1, iteration = 2434, H = 3.32411e+00\n", + "log(Z): -7.59207e+00, tol = 1.28186e+00, K = 1, iteration = 2435, H = 3.32433e+00\n", + "log(Z): -7.59071e+00, tol = 1.27943e+00, K = 1, iteration = 2436, H = 3.32455e+00\n", + "log(Z): -7.58935e+00, tol = 1.27701e+00, K = 1, iteration = 2437, H = 3.32477e+00\n", + "log(Z): -7.58800e+00, tol = 1.27459e+00, K = 1, iteration = 2438, H = 3.32498e+00\n", + "log(Z): -7.58665e+00, tol = 1.27218e+00, K = 1, iteration = 2439, H = 3.32519e+00\n", + "log(Z): -7.58530e+00, tol = 1.26977e+00, K = 1, iteration = 2440, H = 3.32541e+00\n", + "log(Z): -7.58396e+00, tol = 1.26737e+00, K = 1, iteration = 2441, H = 3.32562e+00\n", + "log(Z): -7.58262e+00, tol = 1.26497e+00, K = 1, iteration = 2442, H = 3.32583e+00\n", + "log(Z): -7.58128e+00, tol = 1.26258e+00, K = 1, iteration = 2443, H = 3.32604e+00\n", + "log(Z): -7.57995e+00, tol = 1.26019e+00, K = 1, iteration = 2444, H = 3.32625e+00\n", + "log(Z): -7.57861e+00, tol = 1.25780e+00, K = 1, iteration = 2445, H = 3.32646e+00\n", + "log(Z): -7.57728e+00, tol = 1.25542e+00, K = 1, iteration = 2446, H = 3.32667e+00\n", + "log(Z): -7.57595e+00, tol = 1.25304e+00, K = 1, iteration = 2447, H = 3.32688e+00\n", + "log(Z): -7.57463e+00, tol = 1.25066e+00, K = 1, iteration = 2448, H = 3.32708e+00\n", + "log(Z): -7.57330e+00, tol = 1.24829e+00, K = 1, iteration = 2449, H = 3.32730e+00\n", + "log(Z): -7.57197e+00, tol = 1.24592e+00, K = 1, iteration = 2450, H = 3.32751e+00\n", + "log(Z): -7.57064e+00, tol = 1.24355e+00, K = 1, iteration = 2451, H = 3.32773e+00\n", + "log(Z): -7.56931e+00, tol = 1.24118e+00, K = 1, iteration = 2452, H = 3.32795e+00\n", + "log(Z): -7.56799e+00, tol = 1.23882e+00, K = 1, iteration = 2453, H = 3.32817e+00\n", + "log(Z): -7.56667e+00, tol = 1.23646e+00, K = 1, iteration = 2454, H = 3.32839e+00\n", + "log(Z): -7.56534e+00, tol = 1.23410e+00, K = 1, iteration = 2455, H = 3.32861e+00\n", + "log(Z): -7.56402e+00, tol = 1.23175e+00, K = 1, iteration = 2456, H = 3.32883e+00\n", + "log(Z): -7.56271e+00, tol = 1.22940e+00, K = 1, iteration = 2457, H = 3.32905e+00\n", + "log(Z): -7.56139e+00, tol = 1.22706e+00, K = 1, iteration = 2458, H = 3.32927e+00\n", + "log(Z): -7.56008e+00, tol = 1.22472e+00, K = 1, iteration = 2459, H = 3.32949e+00\n", + "log(Z): -7.55877e+00, tol = 1.22238e+00, K = 1, iteration = 2460, H = 3.32970e+00\n", + "log(Z): -7.55747e+00, tol = 1.22005e+00, K = 1, iteration = 2461, H = 3.32991e+00\n", + "log(Z): -7.55617e+00, tol = 1.21773e+00, K = 1, iteration = 2462, H = 3.33013e+00\n", + "log(Z): -7.55486e+00, tol = 1.21540e+00, K = 1, iteration = 2463, H = 3.33034e+00\n", + "log(Z): -7.55356e+00, tol = 1.21308e+00, K = 1, iteration = 2464, H = 3.33056e+00\n", + 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1.16082e+00, K = 1, iteration = 2487, H = 3.33536e+00\n", + "log(Z): -7.52309e+00, tol = 1.15859e+00, K = 1, iteration = 2488, H = 3.33557e+00\n", + "log(Z): -7.52185e+00, tol = 1.15636e+00, K = 1, iteration = 2489, H = 3.33578e+00\n", + "log(Z): -7.52061e+00, tol = 1.15414e+00, K = 1, iteration = 2490, H = 3.33598e+00\n", + "log(Z): -7.51937e+00, tol = 1.15193e+00, K = 1, iteration = 2491, H = 3.33619e+00\n", + "log(Z): -7.51813e+00, tol = 1.14972e+00, K = 1, iteration = 2492, H = 3.33639e+00\n", + "log(Z): -7.51690e+00, tol = 1.14751e+00, K = 1, iteration = 2493, H = 3.33659e+00\n", + "log(Z): -7.51567e+00, tol = 1.14531e+00, K = 1, iteration = 2494, H = 3.33679e+00\n", + "log(Z): -7.51445e+00, tol = 1.14311e+00, K = 1, iteration = 2495, H = 3.33699e+00\n", + "log(Z): -7.51323e+00, tol = 1.14092e+00, K = 1, iteration = 2496, H = 3.33718e+00\n", + "log(Z): -7.51201e+00, tol = 1.13873e+00, K = 1, iteration = 2497, H = 3.33738e+00\n", + "log(Z): -7.51079e+00, tol = 1.13654e+00, K = 1, iteration = 2498, H = 3.33758e+00\n", + "log(Z): -7.50958e+00, tol = 1.13436e+00, K = 1, iteration = 2499, H = 3.33777e+00\n", + "log(Z): -7.50836e+00, tol = 1.13218e+00, K = 1, iteration = 2500, H = 3.33797e+00\n", + "log(Z): -7.50715e+00, tol = 1.13001e+00, K = 1, iteration = 2501, H = 3.33816e+00\n", + "log(Z): -7.50594e+00, tol = 1.12783e+00, K = 1, iteration = 2502, H = 3.33836e+00\n", + "log(Z): -7.50474e+00, tol = 1.12567e+00, K = 1, iteration = 2503, H = 3.33855e+00\n", + "log(Z): -7.50353e+00, tol = 1.12350e+00, K = 1, iteration = 2504, H = 3.33875e+00\n", + "log(Z): -7.50233e+00, tol = 1.12134e+00, K = 1, iteration = 2505, H = 3.33894e+00\n", + "log(Z): -7.50113e+00, tol = 1.11919e+00, K = 1, iteration = 2506, H = 3.33913e+00\n", + "log(Z): -7.49994e+00, tol = 1.11704e+00, K = 1, iteration = 2507, H = 3.33932e+00\n", + "log(Z): -7.49874e+00, tol = 1.11489e+00, K = 1, iteration = 2508, H = 3.33951e+00\n", + "log(Z): -7.49755e+00, tol = 1.11275e+00, K = 1, iteration = 2509, H = 3.33971e+00\n", + "log(Z): -7.49636e+00, tol = 1.11061e+00, K = 1, iteration = 2510, H = 3.33989e+00\n", + "log(Z): -7.49518e+00, tol = 1.10847e+00, K = 1, iteration = 2511, H = 3.34008e+00\n", + "log(Z): -7.49399e+00, tol = 1.10634e+00, K = 1, iteration = 2512, H = 3.34027e+00\n", + "log(Z): -7.49281e+00, tol = 1.10421e+00, K = 1, iteration = 2513, H = 3.34046e+00\n", + "log(Z): -7.49162e+00, tol = 1.10208e+00, K = 1, iteration = 2514, H = 3.34065e+00\n", + "log(Z): -7.49044e+00, tol = 1.09996e+00, K = 1, iteration = 2515, H = 3.34084e+00\n", + "log(Z): -7.48926e+00, tol = 1.09784e+00, K = 1, iteration = 2516, H = 3.34103e+00\n", + "log(Z): -7.48809e+00, tol = 1.09572e+00, K = 1, iteration = 2517, H = 3.34122e+00\n", + "log(Z): -7.48691e+00, tol = 1.09361e+00, K = 1, iteration = 2518, H = 3.34141e+00\n", + "log(Z): -7.48574e+00, tol = 1.09150e+00, K = 1, iteration = 2519, H = 3.34160e+00\n", + "log(Z): -7.48457e+00, tol = 1.08940e+00, K = 1, iteration = 2520, H = 3.34179e+00\n", + "log(Z): -7.48340e+00, tol = 1.08730e+00, K = 1, iteration = 2521, H = 3.34197e+00\n", + "log(Z): -7.48224e+00, tol = 1.08520e+00, K = 1, iteration = 2522, H = 3.34216e+00\n", + "log(Z): -7.48107e+00, tol = 1.08310e+00, K = 1, iteration = 2523, H = 3.34235e+00\n", + "log(Z): -7.47991e+00, tol = 1.08101e+00, K = 1, iteration = 2524, H = 3.34254e+00\n", + "log(Z): -7.47875e+00, tol = 1.07892e+00, K = 1, iteration = 2525, H = 3.34273e+00\n", + "log(Z): -7.47758e+00, tol = 1.07684e+00, K = 1, iteration = 2526, H = 3.34293e+00\n", + "log(Z): -7.47642e+00, tol = 1.07476e+00, K = 1, iteration = 2527, H = 3.34312e+00\n", + "log(Z): -7.47526e+00, tol = 1.07268e+00, K = 1, iteration = 2528, H = 3.34331e+00\n", + "log(Z): -7.47411e+00, tol = 1.07060e+00, K = 1, iteration = 2529, H = 3.34350e+00\n", + "log(Z): -7.47296e+00, tol = 1.06853e+00, K = 1, iteration = 2530, H = 3.34369e+00\n", + "log(Z): -7.47181e+00, tol = 1.06647e+00, K = 1, iteration = 2531, H = 3.34387e+00\n", + "log(Z): -7.47066e+00, tol = 1.06440e+00, K = 1, iteration = 2532, H = 3.34406e+00\n", + "log(Z): -7.46952e+00, tol = 1.06234e+00, K = 1, iteration = 2533, H = 3.34425e+00\n", + "log(Z): -7.46837e+00, tol = 1.06029e+00, K = 1, iteration = 2534, H = 3.34444e+00\n", + "log(Z): -7.46723e+00, tol = 1.05824e+00, K = 1, iteration = 2535, H = 3.34462e+00\n", + "log(Z): -7.46609e+00, tol = 1.05619e+00, K = 1, iteration = 2536, H = 3.34481e+00\n", + "log(Z): -7.46495e+00, tol = 1.05414e+00, K = 1, iteration = 2537, H = 3.34500e+00\n", + "log(Z): -7.46382e+00, tol = 1.05210e+00, K = 1, iteration = 2538, H = 3.34518e+00\n", + "log(Z): -7.46268e+00, tol = 1.05006e+00, K = 1, iteration = 2539, H = 3.34537e+00\n", + "log(Z): -7.46155e+00, tol = 1.04802e+00, K = 1, iteration = 2540, H = 3.34556e+00\n", + "log(Z): -7.46042e+00, tol = 1.04599e+00, K = 1, iteration = 2541, H = 3.34575e+00\n", + "log(Z): -7.45929e+00, tol = 1.04396e+00, K = 1, iteration = 2542, H = 3.34593e+00\n", + "log(Z): -7.45816e+00, tol = 1.04194e+00, K = 1, iteration = 2543, H = 3.34612e+00\n", + "log(Z): -7.45704e+00, tol = 1.03992e+00, K = 1, iteration = 2544, H = 3.34630e+00\n", + "log(Z): -7.45592e+00, tol = 1.03790e+00, K = 1, iteration = 2545, H = 3.34649e+00\n", + "log(Z): -7.45480e+00, tol = 1.03589e+00, K = 1, iteration = 2546, H = 3.34667e+00\n", + "log(Z): -7.45368e+00, tol = 1.03388e+00, K = 1, iteration = 2547, H = 3.34686e+00\n", + "log(Z): -7.45256e+00, tol = 1.03187e+00, K = 1, iteration = 2548, H = 3.34705e+00\n", + "log(Z): -7.45144e+00, tol = 1.02986e+00, K = 1, iteration = 2549, H = 3.34723e+00\n", + "log(Z): -7.45033e+00, tol = 1.02786e+00, K = 1, iteration = 2550, H = 3.34742e+00\n", + "log(Z): -7.44922e+00, tol = 1.02586e+00, K = 1, iteration = 2551, H = 3.34760e+00\n", + "log(Z): -7.44811e+00, tol = 1.02387e+00, K = 1, iteration = 2552, H = 3.34779e+00\n", + "log(Z): -7.44700e+00, tol = 1.02188e+00, K = 1, iteration = 2553, H = 3.34797e+00\n", + "log(Z): -7.44590e+00, tol = 1.01990e+00, K = 1, iteration = 2554, H = 3.34815e+00\n", + "log(Z): -7.44479e+00, tol = 1.01791e+00, K = 1, iteration = 2555, H = 3.34833e+00\n", + "log(Z): -7.44369e+00, tol = 1.01593e+00, K = 1, iteration = 2556, H = 3.34852e+00\n", + "log(Z): -7.44259e+00, tol = 1.01396e+00, K = 1, iteration = 2557, H = 3.34870e+00\n", + "log(Z): -7.44149e+00, tol = 1.01198e+00, K = 1, iteration = 2558, H = 3.34888e+00\n", + "log(Z): -7.44040e+00, tol = 1.01002e+00, K = 1, iteration = 2559, H = 3.34906e+00\n", + "log(Z): -7.43930e+00, tol = 1.00805e+00, K = 1, iteration = 2560, H = 3.34925e+00\n", + "log(Z): -7.43821e+00, tol = 1.00608e+00, K = 1, iteration = 2561, H = 3.34943e+00\n", + "log(Z): -7.43712e+00, tol = 1.00413e+00, K = 1, iteration = 2562, H = 3.34961e+00\n", + "log(Z): -7.43603e+00, tol = 1.00217e+00, K = 1, iteration = 2563, H = 3.34979e+00\n", + "log(Z): -7.43495e+00, tol = 1.00022e+00, K = 1, iteration = 2564, H = 3.34997e+00\n", + "log(Z): -7.43387e+00, tol = 9.98272e-01, K = 1, iteration = 2565, H = 3.35015e+00\n", + "Elapsed time is 1.325 seconds\n", + "\n", + "Finished RAT ───────────────────────────────────────────────────────────────────────────────────────────────────────────\n", + "\n", + "Starting RAT ───────────────────────────────────────────────────────────────────────────────────────────────────────────\n", + "\n", + "\n", + "Running DREAM\n", + "\n", + "------------------ Summary of the main settings used ------------------\n", + " nParams: 3\n", + " nChains: 10\n", + " nGenerations: 2000\n", + " parallel: false\n", + " CPU: 1\n", + " jumpProbability: 0.5\n", + " pUnitGamma: 0.2\n", + " nCR: 3\n", + " delta: 3\n", + " steps: 50\n", + " zeta: 1e-12\n", + " outlier: 'iqr'\n", + " adaptPCR: true\n", + " thinning: 1\n", + " ABC: false\n", + " epsilon: 0.025\n", + " IO: false\n", + " storeOutput: false\n", + " R: [10x10 double]\n", + " -----------------------------------------------------------------------\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "DREAM: 100%|██████████████████████████████████████████████████████████████████████████████" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Elapsed time is 1.051 seconds\n", + "\n", + "Finished RAT ───────────────────────────────────────────────────────────────────────────────────────────────────────────\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "ns_controls = RAT.Controls(procedure=\"ns\", nsTolerance=1, nLive=500, display=\"final\")\n", + "_, ns_results = RAT.run(project, ns_controls)\n", + "\n", + "dream_controls = RAT.Controls(procedure=\"dream\", display=\"final\")\n", + "_, dream_results = RAT.run(project, dream_controls)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we will perform our direct calculation. The standard `'calculate'` procedure in RAT runs an Abelès calculation for the reflectivity of our model, and calculates the $\\chi^2$ statistic for how well this reflectivity fits the given data. We will take a sample of 30 values between the minimum and maximum value of our roughness and background parameters, and calculate $\\exp(-\\chi^2 / 2)$ on this roughness-background grid. " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "rough_param = project.parameters[0]\n", + "roughness = np.linspace(rough_param.min, rough_param.max, 30)\n", + "\n", + "back_param = project.background_parameters[0]\n", + "background = np.linspace(back_param.min, back_param.max, 30)\n", + "\n", + "controls = RAT.Controls(procedure=\"calculate\", calcSldDuringFit=True, display=\"off\")\n", + "\n", + "# function to calculate exp(-chi_squared / 2) for a given pair of roughness/background values\n", + "def calculate_posterior(roughness_index: int, background_index: int) -> float:\n", + " \"\"\"Calculate the posterior for an item in the roughness and background vectors.\n", + "\n", + " Parameters\n", + " ----------\n", + " roughness_index : int\n", + " The index of the roughness vector to use as the roughness parameter value.\n", + " background_index : int\n", + " The index of the background vector to use as the background parameter value.\n", + "\n", + " Returns\n", + " -------\n", + " float\n", + " The value of exp(-chi^2 / 2) for the given roughness and background values.\n", + " \"\"\"\n", + " project.parameters[0].value = roughness[roughness_index]\n", + " project.background_parameters[0].value = background[background_index]\n", + "\n", + " _, results = RAT.run(project, controls)\n", + " chi_squared = results.calculationResults.sumChi\n", + "\n", + " return np.exp(-chi_squared / 2)\n", + "\n", + "# we vectorise the calculation to make it faster by running it over a matrix of indices (x, y)\n", + "vectorized_calc_posterior = np.vectorize(calculate_posterior)\n", + "probability_array = vectorized_calc_posterior(*np.indices((30, 30), dtype=int))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can get the parameter values that best fit our model for each method:" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Best values according to direct calculation:\n", + " Roughness: 4.724137931034483 \n", + " Background: 2.925862068965517e-06\n" + ] + }, + { + "ename": "IndexError", + "evalue": "index 1 is out of bounds for axis 0 with size 1", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mIndexError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[10], line 9\u001b[0m\n\u001b[1;32m 2\u001b[0m best_indices \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39munravel_index(np\u001b[38;5;241m.\u001b[39margmax(probability_array, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m), probability_array\u001b[38;5;241m.\u001b[39mshape)\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBest values according to direct calculation:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 4\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRoughness: \u001b[39m\u001b[38;5;124m\"\u001b[39m, roughness[best_indices[\u001b[38;5;241m0\u001b[39m]], \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 5\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBackground: \u001b[39m\u001b[38;5;124m\"\u001b[39m, background[best_indices[\u001b[38;5;241m1\u001b[39m]])\n\u001b[1;32m 7\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBest values according to Nested Sampler:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 8\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRoughness: \u001b[39m\u001b[38;5;124m\"\u001b[39m, ns_results\u001b[38;5;241m.\u001b[39mfitParams[\u001b[38;5;241m0\u001b[39m], \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m----> 9\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBackground: \u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[43mns_results\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfitParams\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m)\n\u001b[1;32m 11\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBest values according to Nested Sampler:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 12\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRoughness: \u001b[39m\u001b[38;5;124m\"\u001b[39m, dream_results\u001b[38;5;241m.\u001b[39mfitParams[\u001b[38;5;241m0\u001b[39m], \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBackground: \u001b[39m\u001b[38;5;124m\"\u001b[39m, dream_results\u001b[38;5;241m.\u001b[39mfitParams[\u001b[38;5;241m1\u001b[39m])\n", + "\u001b[0;31mIndexError\u001b[0m: index 1 is out of bounds for axis 0 with size 1" + ] + } + ], + "source": [ + "# get the vector indices that produced the lowest chi-squared\n", + "best_indices = np.unravel_index(np.argmax(probability_array, axis=None), probability_array.shape)\n", + "print(\"Best values according to direct calculation:\\n\",\n", + " \"Roughness: \", roughness[best_indices[0]], \"\\n\",\n", + " \"Background: \", background[best_indices[1]])\n", + "\n", + "print(\"Best values according to Nested Sampler:\\n\",\n", + " \"Roughness: \", ns_results.fitParams[0], \"\\n\",\n", + " \"Background: \", ns_results.fitParams[1])\n", + "\n", + "print(\"Best values according to Nested Sampler:\\n\",\n", + " \"Roughness: \", dream_results.fitParams[0], \"\\n\",\n", + " \"Background: \", dream_results.fitParams[1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And finally, we will plot the posteriors created via each method to compare." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_2737/4014641873.py:46: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n", + " fig.show()\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import RATapi.utils.plotting as RATplot\n", + "\n", + "fig, axes = plt.subplots(3, 2, figsize=(6, 9))\n", + "\n", + "# plot NS and DREAM for each parameter\n", + "for i in [0, 1]:\n", + " RATplot.plot_one_hist(ns_results, i, axes=axes[0][i])\n", + " RATplot.plot_one_hist(dream_results, i, axes=axes[1][i])\n", + " # we want all 3 plots to have the same x-range\n", + " # so we will use the nested sampler x-range as our base\n", + " axes[1][i].set_xlim(*axes[0][i].get_xlim())\n", + " axes[1][i].set_title(\"\")\n", + "\n", + "# marginalise the probability array to get distributions for each parameter\n", + "roughness_distribution = np.sum(probability_array, axis=0)\n", + "background_distribution = np.sum(probability_array, axis=1)\n", + "\n", + "axes[2][0].hist(\n", + " roughness,\n", + " bins=25,\n", + " range=axes[0][0].get_xlim(),\n", + " weights=roughness_distribution,\n", + " density=True,\n", + " edgecolor=\"black\",\n", + " linewidth=1.2,\n", + " color=\"white\",\n", + " )\n", + "\n", + "axes[2][1].hist(\n", + " background,\n", + " bins=25,\n", + " range=axes[0][1].get_xlim(),\n", + " weights=background_distribution,\n", + " density=True,\n", + " edgecolor=\"black\",\n", + " linewidth=1.2,\n", + " color=\"white\",\n", + " )\n", + "\n", + "axes[0][0].set_ylabel(\"nested sampler\")\n", + "axes[1][0].set_ylabel(\"DREAM\")\n", + "axes[2][0].set_ylabel(\"direct calculation\")\n", + "fig.tight_layout()\n", + "\n", + "fig.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.2" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/RATapi/examples/bayes_benchmark/bayes_benchmark.py b/RATapi/examples/bayes_benchmark/bayes_benchmark.py index 58f16665..5dddb523 100644 --- a/RATapi/examples/bayes_benchmark/bayes_benchmark.py +++ b/RATapi/examples/bayes_benchmark/bayes_benchmark.py @@ -25,10 +25,113 @@ import RATapi as RAT import RATapi.utils.plotting as RATplot +from RATapi.models import Parameter, Background, Resolution, Data, Contrast PWD = Path(__file__).parents[0] +# function to get our starting project +# this is the RasCAL-1 default project +# it is a bare D2O substrate +def get_project() -> RAT.Project: + return RAT.Project( + name="Bare D2O Substrate", + calculation="normal", + model="standard layers", + geometry="air/substrate", + absorption="False", + parameters=[Parameter(name="Substrate Roughness", min=3.0, value=4.844363132849221, max=8.0, fit=True)], + background_parameters=[ + Parameter(name="Background parameter 1", min=5e-08, value=3.069003361230152e-06, max=7e-06, fit=True) + ], + scalefactors=[Parameter(name="Scalefactor 1", min=0.05, value=0.10141560336360426, max=0.3, fit=True)], + bulk_in=[Parameter(name="Air", min=0.0, value=0.0, max=0.0, fit=False)], + bulk_out=[Parameter(name="D2O", min=6.3e-06, value=6.35e-06, max=6.4e-06, fit=False)], + resolution_parameters=[Parameter(name="Resolution parameter 1", min=0.01, value=0.03, max=0.05, fit=False)], + backgrounds=[Background(name="Background 1", type="constant", value_1="Background parameter 1")], + resolutions=[Resolution(name="Resolution 1", type="constant", value_1="Resolution parameter 1")], + data=[ + Data(name="Simulation", data=np.empty([0, 3]), simulation_range=[0.005, 0.7]), + Data( + name="f82395c", + data=np.array( + [ + [4.8866e-02, 1.2343e-04, 1.3213e-06], + [5.1309e-02, 1.0063e-04, 1.0803e-06], + [5.3874e-02, 8.2165e-05, 8.8779e-07], + [5.6568e-02, 6.4993e-05, 7.2018e-07], + [5.9396e-02, 5.3958e-05, 6.0015e-07], + [6.2366e-02, 4.3590e-05, 5.0129e-07], + [6.5485e-02, 3.5780e-05, 4.1957e-07], + [6.8759e-02, 2.9130e-05, 3.5171e-07], + [7.2197e-02, 2.3481e-05, 3.0586e-07], + [7.5807e-02, 1.8906e-05, 2.6344e-07], + [7.9597e-02, 1.4642e-05, 2.2314e-07], + [8.3577e-02, 1.1589e-05, 1.8938e-07], + [8.7756e-02, 9.5418e-06, 1.6220e-07], + [9.2143e-02, 7.5694e-06, 1.3809e-07], + [9.6751e-02, 6.3831e-06, 1.2097e-07], + [1.0159e-01, 5.0708e-06, 1.0333e-07], + [1.0667e-01, 4.1041e-06, 8.9548e-08], + [1.1200e-01, 3.4253e-06, 7.9830e-08], + [1.1760e-01, 2.8116e-06, 7.1554e-08], + [1.2348e-01, 2.3767e-06, 6.3738e-08], + [1.2966e-01, 1.9241e-06, 5.6586e-08], + [1.3614e-01, 1.5642e-06, 5.2778e-08], + [1.4294e-01, 1.2922e-06, 4.9730e-08], + [1.5009e-01, 1.1694e-06, 5.1175e-08], + [1.5760e-01, 9.7837e-07, 5.0755e-08], + [1.6548e-01, 8.9138e-07, 5.3542e-08], + [1.7375e-01, 7.9420e-07, 5.4857e-08], + [1.8244e-01, 7.9131e-07, 5.8067e-08], + [1.9156e-01, 6.5358e-07, 5.7717e-08], + [2.0114e-01, 6.2970e-07, 5.7951e-08], + [2.1119e-01, 5.0130e-07, 5.5262e-08], + [2.2175e-01, 5.0218e-07, 5.6461e-08], + [2.3284e-01, 3.9299e-07, 5.0685e-08], + [2.4448e-01, 3.5324e-07, 5.0194e-08], + [2.5671e-01, 4.4475e-07, 5.6485e-08], + [2.6954e-01, 5.1338e-07, 6.2247e-08], + [2.8302e-01, 3.4918e-07, 4.9745e-08], + [2.9717e-01, 4.3037e-07, 5.5488e-08], + [3.1203e-01, 4.0099e-07, 5.3591e-08], + [3.2763e-01, 3.8397e-07, 5.1303e-08], + [3.4401e-01, 3.0995e-07, 4.5965e-08], + [3.6121e-01, 3.9357e-07, 5.0135e-08], + [3.7927e-01, 3.0997e-07, 4.3680e-08], + [3.9824e-01, 2.9656e-07, 4.2432e-08], + [4.1815e-01, 2.1909e-07, 3.6117e-08], + [4.3906e-01, 2.3153e-07, 3.6307e-08], + [4.6101e-01, 3.3428e-07, 4.3874e-08], + [4.8406e-01, 2.3441e-07, 3.7488e-08], + [5.0826e-01, 1.5496e-07, 3.0585e-08], + [5.3368e-01, 2.4708e-07, 3.9376e-08], + [5.6036e-01, 2.2157e-07, 3.8258e-08], + [5.8838e-01, 2.2798e-07, 4.6976e-08], + [6.1169e-01, 6.0272e-07, 2.3239e-07], + ] + ), + data_range=[0.048866, 0.61169], + simulation_range=[0.048866, 0.61169], + ), + ], + contrasts=[ + Contrast( + name="Chain-d, acmw", + data="f82395c", + background="Background 1", + background_action="add", + bulk_in="Air", + bulk_out="D2O", + scalefactor="Scalefactor 1", + resolution="Resolution 1", + resample=False, + model=[], + ) + ], + ) + + @dataclass class CalculationResults: """Data class for results from a direct calculation.""" @@ -57,7 +160,7 @@ def bayes_benchmark_2d(grid_size: int) -> (RAT.outputs.BayesResults, Calculation Results from the direct calculation. """ - problem = RAT.utils.convert.r1_to_project_class(str(PWD / "defaultR1ProjectTemplate.mat")) + problem = get_project() ns_controls = RAT.Controls(procedure="ns", nsTolerance=1, nLive=500, display="final") _, ns_results = RAT.run(problem, ns_controls) @@ -89,7 +192,7 @@ def calculate_posterior(roughness_index: int, background_index: int) -> float: float The value of exp(-chi^2 / 2) for the given roughness and background values. """ - problem.parameters[0].value = roughness[int(roughness_index)] + problem.parameters[0].value = roughness[roughness_index] problem.background_parameters[0].value = background[background_index] _, results = RAT.run(problem, controls) @@ -125,9 +228,7 @@ def bayes_benchmark_3d(grid_size: int) -> (RAT.outputs.BayesResults, Calculation Results from the direct calculation. """ - problem = RAT.utils.convert.r1_to_project_class(str(PWD / "defaultR1ProjectTemplate.mat")) - problem.scalefactors[0].min = 0.07 - problem.scalefactors[0].max = 0.13 + problem = get_project() ns_controls = RAT.Controls(procedure="ns", nsTolerance=1, nLive=500, display="final") _, ns_results = RAT.run(problem, ns_controls) @@ -239,6 +340,7 @@ def plot_marginalised_result(dimension: int, axes: plt.Axes, limits: tuple[float RATplot.plot_one_hist(dream_results, i, axes=axes[1][i]) # we want all 3 plots to have the same x-axis axes[1][i].set_xlim(*axes[0][i].get_xlim()) + axes[1][i].set_title("") plot_marginalised_result(i, axes[2][i], limits=axes[0][i].get_xlim()) axes[0][0].set_ylabel("nested sampler") diff --git a/RATapi/examples/bayes_benchmark/defaultR1ProjectTemplate.mat b/RATapi/examples/bayes_benchmark/defaultR1ProjectTemplate.mat deleted file mode 100644 index 53538d2659668bed2c2a2d250a4fd90d076ee00b..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 7655 zcma)>^;Z;bu*MNYq(Mrgk&={dmXt1uWohYN8kUq!0ZHlZ?(SGRrAs>3g{Av?&-eZT zcg}pyGtYa@{5&(~RhH0Hl8~h4W&cdAETPF}VQpv5O08!1&D8?zY%lchO-i1Rhm~5& z+5DTUxfwOsL5LdoPgTI~)SUd(oSZ^jyh1#J)LfsrIH~`?kxqg1U%Zl6#{E|j{PUg} zYak;la+&wp?S?BuD`~UaRB_I@fo#9^=NS03hWV83SVDOwK(%;FrFRnr8n@#h)|Z5=Dj0iP)i zTTw2;yO5j~4e>Ds_D;^=!ykI+C96y<7hTQ3j~ONh0X{c*3f~XVizU&>5*U-Cv|NXj zz$B+9VMH~X5v2_K0I}8~JYdL_Hp|pGKp@Nhs{uI*^vH9KgKBYSV~?(#3)~cbQI#X^ z3yN(u=-n9z@QW7ciNfhkR3>dOGeptN`!u>I!eeGZ1w41w-vV0|XLaugzUMSMpk~1E zC#?#1)&hJPcLZr|7rx`Ta#k>$Kh?e>>L^>TJXfJT*2#(j0jL>z7#0$MK7;=J z`!6+ORARa@zc9`_mn65_JEX99B3RMV@P!Feh8)q`>pU1-bB|G7hMX$E+~|R!|)5%MLnQf4%WUZjMBGk3y&(tNgXP%HZg6)81_>!%oIx z?B2&|L~t|rlZ`N?ImpWE4VP@Bfbfn);A5~EL_loISZ|Ua@Io{oxgPU}TQhAbC**3> zEj*8X5DF?qamtXp!{P2J+>Zr4!t+|m#y>9fQx9i4>k zu6fZCBib<>d{CnKJ?fyO_fJA|miQ!jUNj%d2x}cze#}Jca)8@J`$Ro9cEc1Hg?;{@*Txyx<#wuRih(s=c?Fbmlk!*cWVb*Z$= z!8k@1@(D`nR2mD%#8U6q67ja`AN!->#+0g^3+<@_YqWy_V<3_h209C&;RK7*OF8#j zDHLI^$<#S}o-r5}UroJ2-A;Bt4b8OMlhY}9`h~9)kP^lzZ#iq~In;0ARWCJLv1aTN z1qS0ZBm;lk^2%kT)vajy#-&`Fq+HF6wrWk$eF04}I53+i8gs8e1soa#F@{Fec?OAxf zNKtt{pZJ;Uah2QetFejGm@bR?P?f0ae|9(h@>5ok0?zxjqt)k3r_DLBGPoV)X|#5^ zTaCuib@uJ7l&kyb;1cwVTs9K#cjwehH_AJIQO*)X_oc_SF5_au|%#W zv*v){@cZ%=xXle}Cd}i4Yzp?UwM3w+L$&gwS*JT??9QwpCs)zO&ye_@_EQ&EL*3%`MtWWr=RcR zFFxCuP?p^{)>U_<+1dNJ1p0B`C~k>PNm09Z6F#qR8@;H1zY{I>=RN4AH{8`;pr0IE@}mc5S@s z-b6mEP=UQ!tkT$qu#yfZ3C%awcl%pjiCkL&ZSUGz%b$I4U;BztHqU{=l+v4JPUQy&*=RC1~o8kVrGX@s!&R)cM6nVOdO4*!#o*BwscSk70 zo_97gLBISJ+a325eQeJIuQ~orj+d9yWpo~`)fc2QQ_8fC6wMF%Ji}DylEY7b6UJpi zMUsxc$}c`*$wcbO2dU+a%NNECXN*gQ4p-<)70?w%B))lKZvvJt!m&Fy;mr&FmCcJn zCoWxuJg6g}NpB8wDKQ!%@m1VMg3_c11ulFD(_Xg|?^)`X_M<(h2Un zQ;eA-8IpWGAPEiWfnBLgAS?1OWC3XrB8W?O+mO^XT)v23&*fMs}yI2 z$}LV(zVyQ)eh`F+DGF8*&H!h-r1@*!xv{`Z=*jB}wsGSXy0|ENxBxCvD-7S&9k@3R z10vGezE?=KyFs#i()3~vq3PJ^0%UQ(80+n{W^Ai6aV>+J^e=QC4_VD0EV;LlT=k8g zDF`XNh0Ys?3@(=*cb2z1+2q6+?C(}-8RD%1A+PFJ)ksR&=-Rs}&Pm^I+W0L7U=V;? 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It can be shown [1] that under some weak assumptions about our data, this probability is proportional to $\\exp(-\\chi^2/2)$, where $\\chi^2$ is the chi-squared measure of fit given by the least-squares solution. \n", + "where $P$ is a probability measure, $X_1, X_2, ...$ are our parameters, $x_1, x_2, ...$ are proposed values of these parameters, and $I$ is our background information on the model (e.g. our data), over a range of values of $x_1, x_2, ...$ between given minimum and maximum values. It can be shown that under some weak assumptions about our data, this probability is proportional to $\\exp(-\\chi^2/2)$, where $\\chi^2$ is the chi-squared measure of fit given by the least-squares solution. [1]\n", "\n", - "If we want to calculate $\\chi^2$ for a sample of $N$ values between some given minimum and maximum values for each parameter, we would have to perform $N^P$ calculations, where $P$ is the number of parameters. Of course, for large numbers of parameters, this is infeasible, hence why algorithms such as NS and DREAM have been developed to do so more efficiently. However, for a small number of parameters, it is feasible for us to perform this direct calculation and compare it to the results of NS and DREAM. Here we will do so for an example of 2 and 3 parameters.\n", + "If we want to calculate $\\chi^2$ directly for a sample of $N$ values between some given minimum and maximum values for each parameter, we would have to perform $N^P$ calculations, where $P$ is the number of parameters. Of course, for large numbers of parameters, this is infeasible, hence why algorithms such as NS and DREAM have been developed to do so more efficiently. However, for a small number of parameters, it is feasible for us to perform this direct calculation and compare it to the results of NS and DREAM. Here we will do so for an example of 2 and 3 parameters.\n", "\n", "*[1] D. S. Sivia, J. R. P. Webster,\n", " \"The Bayesian approach to reflectivity data\",\n", " Physica B: Condensed Matter,\n", - " Volume 248, June 1998, pages 327-337\n", - " DOI: 10.1016/S0921-4526(98)00259-2\n", + " Volume 248, June 1998, pages 327-337 \n", + " DOI: 10.1016/S0921-4526(98)00259-2 \n", " URL: https://bayes.wustl.edu/sivia/98_20feb03.pdf*" ] }, @@ -70,7 +70,7 @@ " background_parameters=[\n", " Parameter(name=\"Background parameter 1\", min=5e-08, value=3.069003361230152e-06, max=7e-06, fit=True)\n", " ],\n", - " scalefactors=[Parameter(name=\"Scalefactor 1\", min=0.07, value=0.10141560336360426, max=0.13, fit=True)],\n", + " scalefactors=[Parameter(name=\"Scalefactor 1\", min=0.07, value=0.10141560336360426, max=0.13, fit=False)],\n", " bulk_in=[Parameter(name=\"Air\", min=0.0, value=0.0, max=0.0, fit=False)],\n", " bulk_out=[Parameter(name=\"D2O\", min=6.3e-06, value=6.35e-06, max=6.4e-06, fit=False)],\n", " resolution_parameters=[Parameter(name=\"Resolution parameter 1\", min=0.01, value=0.03, max=0.05, fit=False)],\n", @@ -179,2572 +179,1678 @@ "\n", "Running Nested Sampler\n", "\n", - "log(Z): -2.30424e+02, tol = 2.28133e+02, K = 1, iteration = 1, H = -nan\n", - "log(Z): -2.00751e+02, tol = 1.98458e+02, K = 1, iteration = 2, H = 6.21761e+00\n", - "log(Z): -1.99120e+02, tol = 1.96825e+02, K = 1, iteration = 3, H = 5.72488e+00\n", - "log(Z): -1.84553e+02, tol = 1.82257e+02, K = 1, iteration = 4, H = 6.22160e+00\n", - "log(Z): -1.68666e+02, tol = 1.66367e+02, K = 1, iteration = 5, H = 6.22361e+00\n", - "log(Z): -1.64965e+02, tol = 1.62665e+02, K = 1, iteration = 6, H = 6.10972e+00\n", - "log(Z): -1.63574e+02, tol = 1.61271e+02, K = 1, iteration = 7, H = 5.63745e+00\n", - "log(Z): -1.61745e+02, tol = 1.59440e+02, K = 1, iteration = 8, H = 5.69391e+00\n", - "log(Z): -1.60804e+02, tol = 1.58498e+02, K = 1, iteration = 9, H = 5.35260e+00\n", - "log(Z): -1.60238e+02, tol = 1.57930e+02, K = 1, iteration = 10, H = 5.04944e+00\n", - "log(Z): -1.59842e+02, tol = 1.57531e+02, K = 1, iteration = 11, H = 4.80548e+00\n", - "log(Z): -1.59394e+02, tol = 1.57081e+02, K = 1, iteration = 12, H = 4.66853e+00\n", - "log(Z): -1.58633e+02, tol = 1.56319e+02, K = 1, iteration = 13, H = 4.81408e+00\n", - "log(Z): -1.54353e+02, tol = 1.52036e+02, K = 1, iteration = 14, H = 6.14890e+00\n", - "log(Z): -1.47541e+02, tol = 1.45223e+02, K = 1, iteration = 15, H = 6.23490e+00\n", - "log(Z): -1.46166e+02, tol = 1.43846e+02, K = 1, iteration = 16, H = 5.67745e+00\n", - "log(Z): -1.41422e+02, tol = 1.39100e+02, K = 1, iteration = 17, H = 6.19269e+00\n", - "log(Z): -1.39918e+02, tol = 1.37594e+02, K = 1, iteration = 18, H = 5.70721e+00\n", - "log(Z): -1.39243e+02, tol = 1.36916e+02, K = 1, iteration = 19, H = 5.28167e+00\n", - "log(Z): -1.37119e+02, tol = 1.34791e+02, K = 1, iteration = 20, H = 5.77105e+00\n", - "log(Z): -1.36370e+02, tol = 1.34039e+02, K = 1, iteration = 21, H = 5.33494e+00\n", - "log(Z): -1.35807e+02, tol = 1.33475e+02, K = 1, iteration = 22, H = 5.04856e+00\n", - "log(Z): -1.33886e+02, tol = 1.31552e+02, K = 1, iteration = 23, H = 5.66576e+00\n", - "log(Z): -1.30532e+02, tol = 1.28195e+02, K = 1, iteration = 24, H = 6.08930e+00\n", - "log(Z): -1.29570e+02, tol = 1.27231e+02, K = 1, iteration = 25, H = 5.53189e+00\n", - "log(Z): -1.28902e+02, tol = 1.26561e+02, K = 1, iteration = 26, H = 5.19663e+00\n", - "log(Z): -1.28474e+02, tol = 1.26131e+02, K = 1, iteration = 27, H = 4.92318e+00\n", - "log(Z): -1.25618e+02, tol = 1.23273e+02, K = 1, iteration = 28, H = 5.97217e+00\n", - "log(Z): -1.24461e+02, tol = 1.22114e+02, K = 1, iteration = 29, H = 5.55495e+00\n", - "log(Z): -1.23825e+02, tol = 1.21477e+02, K = 1, iteration = 30, H = 5.20149e+00\n", - "log(Z): -1.23287e+02, tol = 1.20936e+02, K = 1, iteration = 31, H = 4.96971e+00\n", - "log(Z): -1.21873e+02, tol = 1.19520e+02, K = 1, iteration = 32, H = 5.40480e+00\n", - "log(Z): -1.21289e+02, tol = 1.18935e+02, K = 1, iteration = 33, H = 5.10513e+00\n", - "log(Z): -1.20782e+02, tol = 1.18425e+02, K = 1, iteration = 34, H = 4.90116e+00\n", - "log(Z): -1.20415e+02, tol = 1.18056e+02, K = 1, iteration = 35, H = 4.70914e+00\n", - "log(Z): -1.19022e+02, tol = 1.16662e+02, K = 1, iteration = 36, H = 5.33298e+00\n", - "log(Z): -1.17381e+02, tol = 1.15019e+02, K = 1, iteration = 37, H = 5.61097e+00\n", - "log(Z): -1.16451e+02, tol = 1.14086e+02, K = 1, iteration = 38, H = 5.35128e+00\n", - "log(Z): -1.15053e+02, tol = 1.12686e+02, K = 1, iteration = 39, H = 5.50028e+00\n", - "log(Z): -1.14073e+02, tol = 1.11704e+02, K = 1, iteration = 40, H = 5.33414e+00\n", - "log(Z): -1.13450e+02, tol = 1.11079e+02, K = 1, iteration = 41, H = 5.08950e+00\n", - "log(Z): -1.12765e+02, tol = 1.10392e+02, K = 1, iteration = 42, H = 4.99546e+00\n", - "log(Z): -1.12201e+02, tol = 1.09826e+02, K = 1, iteration = 43, H = 4.87408e+00\n", - "log(Z): -1.11795e+02, tol = 1.09418e+02, K = 1, iteration = 44, H = 4.71353e+00\n", - "log(Z): -1.11414e+02, tol = 1.09035e+02, K = 1, iteration = 45, H = 4.59296e+00\n", - "log(Z): -1.10573e+02, tol = 1.08192e+02, K = 1, iteration = 46, H = 4.88338e+00\n", - "log(Z): -1.10059e+02, tol = 1.07676e+02, K = 1, iteration = 47, H = 4.78199e+00\n", - "log(Z): -1.09651e+02, tol = 1.07266e+02, K = 1, iteration = 48, H = 4.65604e+00\n", - "log(Z): -1.09273e+02, tol = 1.06887e+02, K = 1, iteration = 49, H = 4.55389e+00\n", - "log(Z): -1.08399e+02, tol = 1.06011e+02, K = 1, iteration = 50, H = 4.89990e+00\n", - "log(Z): -1.07684e+02, tol = 1.05293e+02, K = 1, iteration = 51, H = 4.93078e+00\n", - "log(Z): -1.07246e+02, tol = 1.04853e+02, K = 1, iteration = 52, H = 4.77233e+00\n", - "log(Z): -1.06809e+02, tol = 1.04414e+02, K = 1, iteration = 53, H = 4.67025e+00\n", - "log(Z): -1.03755e+02, tol = 1.01359e+02, K = 1, iteration = 54, H = 6.05348e+00\n", - "log(Z): -1.03065e+02, tol = 1.00666e+02, K = 1, iteration = 55, H = 5.49504e+00\n", - "log(Z): -1.02074e+02, tol = 9.96737e+01, K = 1, iteration = 56, H = 5.35741e+00\n", - "log(Z): -1.01564e+02, tol = 9.91619e+01, K = 1, iteration = 57, H = 5.07211e+00\n", - "log(Z): -1.01153e+02, tol = 9.87481e+01, K = 1, iteration = 58, H = 4.85717e+00\n", - "log(Z): -1.00826e+02, tol = 9.84193e+01, K = 1, iteration = 59, H = 4.67643e+00\n", - "log(Z): -1.00446e+02, tol = 9.80372e+01, K = 1, iteration = 60, H = 4.57643e+00\n", - "log(Z): -9.96954e+01, tol = 9.72848e+01, K = 1, iteration = 61, H = 4.81337e+00\n", - "log(Z): -9.88741e+01, tol = 9.64615e+01, K = 1, iteration = 62, H = 4.98127e+00\n", - "log(Z): -9.82976e+01, tol = 9.58831e+01, K = 1, iteration = 63, H = 4.89092e+00\n", - "log(Z): -9.74959e+01, tol = 9.50794e+01, K = 1, iteration = 64, H = 5.00303e+00\n", - "log(Z): -9.70233e+01, tol = 9.46047e+01, K = 1, iteration = 65, H = 4.84556e+00\n", - "log(Z): -9.66697e+01, tol = 9.42491e+01, K = 1, iteration = 66, H = 4.68330e+00\n", - "log(Z): -9.61279e+01, tol = 9.37053e+01, K = 1, iteration = 67, H = 4.69975e+00\n", - "log(Z): -9.57581e+01, tol = 9.33335e+01, K = 1, iteration = 68, H = 4.59135e+00\n", - "log(Z): -9.54402e+01, tol = 9.30136e+01, K = 1, iteration = 69, H = 4.48517e+00\n", - "log(Z): -9.51677e+01, tol = 9.27392e+01, K = 1, iteration = 70, H = 4.38145e+00\n", - "log(Z): -9.49500e+01, tol = 9.25194e+01, K = 1, iteration = 71, H = 4.27340e+00\n", - "log(Z): -9.46451e+01, tol = 9.22125e+01, K = 1, iteration = 72, H = 4.24518e+00\n", - "log(Z): -9.40885e+01, tol = 9.16539e+01, K = 1, iteration = 73, H = 4.46527e+00\n", - "log(Z): -9.36623e+01, tol = 9.12257e+01, K = 1, iteration = 74, H = 4.47775e+00\n", - "log(Z): -9.32702e+01, tol = 9.08316e+01, K = 1, iteration = 75, H = 4.45932e+00\n", - "log(Z): -9.26489e+01, tol = 9.02084e+01, K = 1, iteration = 76, H = 4.65108e+00\n", - "log(Z): -9.21256e+01, tol = 8.96830e+01, K = 1, iteration = 77, H = 4.67457e+00\n", - "log(Z): -9.17812e+01, tol = 8.93366e+01, K = 1, iteration = 78, H = 4.56505e+00\n", - "log(Z): -9.14753e+01, tol = 8.90288e+01, K = 1, iteration = 79, H = 4.46441e+00\n", - "log(Z): -9.12265e+01, tol = 8.87779e+01, K = 1, iteration = 80, H = 4.35774e+00\n", - "log(Z): -9.09808e+01, tol = 8.85302e+01, K = 1, iteration = 81, H = 4.27314e+00\n", - "log(Z): -9.05892e+01, tol = 8.81366e+01, K = 1, iteration = 82, H = 4.32518e+00\n", - "log(Z): -9.01870e+01, tol = 8.77324e+01, K = 1, iteration = 83, H = 4.37050e+00\n", - "log(Z): -8.98798e+01, tol = 8.74233e+01, K = 1, iteration = 84, H = 4.32470e+00\n", - "log(Z): -8.94732e+01, tol = 8.70146e+01, K = 1, iteration = 85, H = 4.37559e+00\n", - "log(Z): -8.90934e+01, tol = 8.66329e+01, K = 1, iteration = 86, H = 4.38686e+00\n", - "log(Z): -8.88034e+01, tol = 8.63408e+01, K = 1, iteration = 87, H = 4.32632e+00\n", - "log(Z): -8.85558e+01, tol = 8.60912e+01, K = 1, iteration = 88, H = 4.25282e+00\n", - "log(Z): -8.83338e+01, tol = 8.58672e+01, K = 1, iteration = 89, H = 4.17948e+00\n", - "log(Z): -8.81348e+01, tol = 8.56662e+01, K = 1, iteration = 90, H = 4.10693e+00\n", - "log(Z): -8.79543e+01, tol = 8.54838e+01, K = 1, iteration = 91, H = 4.03678e+00\n", - "log(Z): -8.73599e+01, tol = 8.48873e+01, K = 1, iteration = 92, H = 4.40697e+00\n", - "log(Z): -8.61407e+01, tol = 8.36661e+01, K = 1, iteration = 93, H = 5.20388e+00\n", - "log(Z): -8.56038e+01, tol = 8.31272e+01, K = 1, iteration = 94, H = 5.02269e+00\n", - "log(Z): -8.50794e+01, tol = 8.26008e+01, K = 1, iteration = 95, H = 4.91007e+00\n", - "log(Z): -8.46723e+01, tol = 8.21917e+01, K = 1, iteration = 96, H = 4.77295e+00\n", - "log(Z): -8.43772e+01, tol = 8.18947e+01, K = 1, iteration = 97, H = 4.62231e+00\n", - "log(Z): -8.41491e+01, tol = 8.16645e+01, K = 1, iteration = 98, H = 4.48102e+00\n", - "log(Z): -8.39161e+01, tol = 8.14295e+01, K = 1, iteration = 99, H = 4.37120e+00\n", - "log(Z): -8.37127e+01, tol = 8.12241e+01, K = 1, iteration = 100, H = 4.26961e+00\n", - "log(Z): -8.35280e+01, tol = 8.10374e+01, K = 1, iteration = 101, H = 4.17780e+00\n", - "log(Z): -8.33303e+01, tol = 8.08378e+01, K = 1, iteration = 102, H = 4.10910e+00\n", - "log(Z): -8.31245e+01, tol = 8.06299e+01, K = 1, iteration = 103, H = 4.05854e+00\n", - "log(Z): -8.29213e+01, tol = 8.04247e+01, K = 1, iteration = 104, H = 4.01583e+00\n", - "log(Z): -8.27326e+01, tol = 8.02341e+01, K = 1, iteration = 105, H = 3.97085e+00\n", - "log(Z): -8.24334e+01, tol = 7.99328e+01, K = 1, iteration = 106, H = 4.03408e+00\n", - "log(Z): -8.22031e+01, tol = 7.97005e+01, K = 1, iteration = 107, H = 4.01824e+00\n", - "log(Z): -8.20100e+01, tol = 7.95054e+01, K = 1, iteration = 108, H = 3.97703e+00\n", - "log(Z): -8.18095e+01, tol = 7.93029e+01, K = 1, iteration = 109, H = 3.94904e+00\n", - "log(Z): -8.16021e+01, tol = 7.90935e+01, K = 1, iteration = 110, H = 3.93211e+00\n", - "log(Z): -8.13637e+01, tol = 7.88531e+01, K = 1, iteration = 111, H = 3.94638e+00\n", - "log(Z): -8.11291e+01, tol = 7.86165e+01, K = 1, iteration = 112, H = 3.95459e+00\n", - "log(Z): -8.06965e+01, tol = 7.81819e+01, K = 1, iteration = 113, H = 4.17909e+00\n", - "log(Z): -8.03318e+01, tol = 7.78152e+01, K = 1, iteration = 114, H = 4.25499e+00\n", - "log(Z): -8.00567e+01, tol = 7.75381e+01, K = 1, iteration = 115, H = 4.22967e+00\n", - "log(Z): -7.94020e+01, tol = 7.68814e+01, K = 1, iteration = 116, H = 4.60181e+00\n", - "log(Z): -7.89170e+01, tol = 7.63944e+01, K = 1, iteration = 117, H = 4.64506e+00\n", - "log(Z): -7.81255e+01, tol = 7.56009e+01, K = 1, iteration = 118, H = 4.94309e+00\n", - "log(Z): -7.76379e+01, tol = 7.51113e+01, K = 1, iteration = 119, H = 4.85837e+00\n", - "log(Z): -7.73032e+01, tol = 7.47746e+01, K = 1, iteration = 120, H = 4.71501e+00\n", - "log(Z): -7.69603e+01, tol = 7.44297e+01, K = 1, iteration = 121, H = 4.61789e+00\n", - "log(Z): -7.65673e+01, tol = 7.40347e+01, K = 1, iteration = 122, H = 4.58517e+00\n", - "log(Z): -7.62228e+01, tol = 7.36882e+01, K = 1, iteration = 123, H = 4.52801e+00\n", - "log(Z): -7.59327e+01, tol = 7.33962e+01, K = 1, iteration = 124, H = 4.45055e+00\n", - "log(Z): -7.55713e+01, tol = 7.30327e+01, K = 1, iteration = 125, H = 4.44755e+00\n", - "log(Z): -7.50891e+01, tol = 7.25485e+01, K = 1, iteration = 126, H = 4.55423e+00\n", - "log(Z): -7.47176e+01, tol = 7.21750e+01, K = 1, iteration = 127, H = 4.52862e+00\n", - "log(Z): -7.44442e+01, tol = 7.18997e+01, K = 1, iteration = 128, H = 4.44275e+00\n", - "log(Z): -7.41586e+01, tol = 7.16120e+01, K = 1, iteration = 129, H = 4.38619e+00\n", - "log(Z): -7.39124e+01, tol = 7.13638e+01, K = 1, iteration = 130, H = 4.31707e+00\n", - "log(Z): -7.36583e+01, tol = 7.11078e+01, K = 1, iteration = 131, H = 4.26900e+00\n", - "log(Z): -7.33785e+01, tol = 7.08259e+01, K = 1, iteration = 132, H = 4.25239e+00\n", - "log(Z): -7.31238e+01, tol = 7.05692e+01, K = 1, iteration = 133, H = 4.22018e+00\n", - "log(Z): -7.29175e+01, tol = 7.03610e+01, K = 1, iteration = 134, H = 4.16073e+00\n", - "log(Z): -7.27305e+01, tol = 7.01719e+01, K = 1, iteration = 135, H = 4.10018e+00\n", - "log(Z): -7.25263e+01, tol = 6.99657e+01, K = 1, iteration = 136, H = 4.06231e+00\n", - "log(Z): -7.21861e+01, tol = 6.96235e+01, K = 1, iteration = 137, H = 4.16105e+00\n", - "log(Z): -7.18636e+01, tol = 6.92990e+01, K = 1, iteration = 138, H = 4.21411e+00\n", - "log(Z): -7.16160e+01, tol = 6.90495e+01, K = 1, iteration = 139, H = 4.18753e+00\n", - "log(Z): -7.14176e+01, tol = 6.88490e+01, K = 1, iteration = 140, H = 4.13125e+00\n", - "log(Z): -7.12261e+01, tol = 6.86555e+01, K = 1, iteration = 141, H = 4.08066e+00\n", - "log(Z): -7.10559e+01, tol = 6.84833e+01, K = 1, iteration = 142, H = 4.02511e+00\n", - "log(Z): -7.09033e+01, tol = 6.83287e+01, K = 1, iteration = 143, H = 3.96760e+00\n", - "log(Z): -7.07391e+01, tol = 6.81625e+01, K = 1, iteration = 144, H = 3.92612e+00\n", - "log(Z): -7.05981e+01, tol = 6.80196e+01, K = 1, iteration = 145, H = 3.87582e+00\n", - "log(Z): -7.04650e+01, tol = 6.78844e+01, K = 1, iteration = 146, H = 3.82753e+00\n", - "log(Z): -7.02578e+01, tol = 6.76752e+01, K = 1, iteration = 147, H = 3.84707e+00\n", - "log(Z): -7.00777e+01, tol = 6.74931e+01, K = 1, iteration = 148, H = 3.83834e+00\n", - "log(Z): -6.99231e+01, tol = 6.73365e+01, K = 1, iteration = 149, H = 3.81045e+00\n", - "log(Z): -6.97701e+01, tol = 6.71816e+01, K = 1, iteration = 150, H = 3.78556e+00\n", - "log(Z): -6.95333e+01, tol = 6.69428e+01, K = 1, iteration = 151, H = 3.84612e+00\n", - "log(Z): -6.92806e+01, tol = 6.66881e+01, K = 1, iteration = 152, H = 3.91161e+00\n", - "log(Z): -6.90574e+01, tol = 6.64628e+01, K = 1, iteration = 153, H = 3.93287e+00\n", - "log(Z): -6.88500e+01, tol = 6.62535e+01, K = 1, iteration = 154, H = 3.93544e+00\n", - "log(Z): -6.86565e+01, tol = 6.60579e+01, K = 1, iteration = 155, H = 3.92563e+00\n", - "log(Z): -6.84825e+01, tol = 6.58820e+01, K = 1, iteration = 156, H = 3.90166e+00\n", - "log(Z): -6.83340e+01, tol = 6.57315e+01, K = 1, iteration = 157, H = 3.86274e+00\n", - "log(Z): -6.82020e+01, tol = 6.55974e+01, K = 1, iteration = 158, H = 3.81839e+00\n", - "log(Z): -6.80814e+01, tol = 6.54748e+01, K = 1, iteration = 159, H = 3.77263e+00\n", - "log(Z): -6.79457e+01, tol = 6.53371e+01, K = 1, iteration = 160, H = 3.74256e+00\n", - "log(Z): -6.78123e+01, tol = 6.52018e+01, K = 1, iteration = 161, H = 3.71480e+00\n", - "log(Z): -6.76700e+01, tol = 6.50574e+01, K = 1, iteration = 162, H = 3.69785e+00\n", - "log(Z): -6.72369e+01, tol = 6.46223e+01, K = 1, iteration = 163, H = 4.04844e+00\n", - "log(Z): -6.67666e+01, tol = 6.41500e+01, K = 1, iteration = 164, H = 4.32212e+00\n", - "log(Z): -6.63512e+01, tol = 6.37326e+01, K = 1, iteration = 165, H = 4.43627e+00\n", - "log(Z): -6.57669e+01, tol = 6.31463e+01, K = 1, iteration = 166, H = 4.68320e+00\n", - "log(Z): -6.53886e+01, tol = 6.27660e+01, K = 1, iteration = 167, H = 4.64742e+00\n", - "log(Z): -6.51082e+01, tol = 6.24836e+01, K = 1, iteration = 168, H = 4.55626e+00\n", - "log(Z): -6.48229e+01, tol = 6.21963e+01, K = 1, iteration = 169, H = 4.49118e+00\n", - "log(Z): -6.45841e+01, tol = 6.19555e+01, K = 1, iteration = 170, H = 4.41213e+00\n", - "log(Z): -6.42743e+01, tol = 6.16438e+01, K = 1, iteration = 171, H = 4.40351e+00\n", - "log(Z): -6.39697e+01, tol = 6.13372e+01, K = 1, iteration = 172, H = 4.39340e+00\n", - "log(Z): -6.36793e+01, tol = 6.10448e+01, K = 1, iteration = 173, H = 4.37480e+00\n", - "log(Z): -6.34370e+01, tol = 6.08005e+01, K = 1, iteration = 174, H = 4.32461e+00\n", - "log(Z): -6.32097e+01, tol = 6.05711e+01, K = 1, iteration = 175, H = 4.27490e+00\n", - "log(Z): -6.29386e+01, tol = 6.02980e+01, K = 1, iteration = 176, H = 4.27074e+00\n", - "log(Z): -6.27230e+01, tol = 6.00805e+01, K = 1, iteration = 177, H = 4.22427e+00\n", - "log(Z): -6.24934e+01, tol = 5.98488e+01, K = 1, iteration = 178, H = 4.19797e+00\n", - "log(Z): -6.22734e+01, tol = 5.96268e+01, K = 1, iteration = 179, H = 4.16984e+00\n", - "log(Z): -6.20775e+01, tol = 5.94289e+01, K = 1, iteration = 180, H = 4.12927e+00\n", - "log(Z): -6.18294e+01, tol = 5.91788e+01, K = 1, iteration = 181, H = 4.14027e+00\n", - "log(Z): -6.15695e+01, tol = 5.89169e+01, K = 1, iteration = 182, H = 4.16017e+00\n", - "log(Z): -6.13352e+01, tol = 5.86806e+01, K = 1, iteration = 183, H = 4.15307e+00\n", - "log(Z): -6.11220e+01, tol = 5.84655e+01, K = 1, iteration = 184, H = 4.13020e+00\n", - "log(Z): -6.09440e+01, tol = 5.82854e+01, K = 1, iteration = 185, H = 4.08557e+00\n", - "log(Z): -6.07918e+01, tol = 5.81312e+01, K = 1, iteration = 186, H = 4.03142e+00\n", - "log(Z): -6.05189e+01, tol = 5.78563e+01, K = 1, iteration = 187, H = 4.09221e+00\n", - "log(Z): -6.02217e+01, tol = 5.75571e+01, K = 1, iteration = 188, H = 4.16430e+00\n", - "log(Z): -5.99650e+01, tol = 5.72984e+01, K = 1, iteration = 189, H = 4.17895e+00\n", - "log(Z): -5.97373e+01, tol = 5.70687e+01, K = 1, iteration = 190, H = 4.16525e+00\n", - "log(Z): -5.95506e+01, tol = 5.68800e+01, K = 1, iteration = 191, H = 4.12281e+00\n", - "log(Z): -5.93926e+01, tol = 5.67201e+01, K = 1, iteration = 192, H = 4.06848e+00\n", - "log(Z): -5.90993e+01, tol = 5.64247e+01, K = 1, iteration = 193, H = 4.14502e+00\n", - "log(Z): -5.86972e+01, tol = 5.60206e+01, K = 1, iteration = 194, H = 4.32345e+00\n", - "log(Z): -5.82966e+01, tol = 5.56180e+01, K = 1, iteration = 195, H = 4.44184e+00\n", - "log(Z): -5.79695e+01, tol = 5.52889e+01, K = 1, iteration = 196, H = 4.45352e+00\n", - "log(Z): -5.76620e+01, tol = 5.49794e+01, K = 1, iteration = 197, H = 4.44584e+00\n", - "log(Z): -5.74128e+01, tol = 5.47283e+01, K = 1, iteration = 198, H = 4.39542e+00\n", - "log(Z): -5.72136e+01, tol = 5.45270e+01, K = 1, iteration = 199, H = 4.32339e+00\n", - "log(Z): -5.69823e+01, tol = 5.42937e+01, K = 1, iteration = 200, H = 4.28706e+00\n", - "log(Z): -5.67655e+01, tol = 5.40749e+01, K = 1, iteration = 201, H = 4.24767e+00\n", - "log(Z): -5.65028e+01, tol = 5.38102e+01, K = 1, iteration = 202, H = 4.25467e+00\n", - "log(Z): -5.62549e+01, tol = 5.35603e+01, K = 1, iteration = 203, H = 4.24757e+00\n", - "log(Z): -5.59400e+01, tol = 5.32434e+01, K = 1, iteration = 204, H = 4.30546e+00\n", - "log(Z): -5.56951e+01, tol = 5.29965e+01, K = 1, iteration = 205, H = 4.28566e+00\n", - "log(Z): -5.54921e+01, tol = 5.27916e+01, K = 1, iteration = 206, H = 4.23851e+00\n", - "log(Z): -5.53209e+01, tol = 5.26183e+01, K = 1, iteration = 207, H = 4.17923e+00\n", - "log(Z): -5.51594e+01, tol = 5.24549e+01, K = 1, iteration = 208, H = 4.12342e+00\n", - "log(Z): -5.50091e+01, tol = 5.23025e+01, K = 1, iteration = 209, H = 4.06934e+00\n", - "log(Z): -5.48733e+01, tol = 5.21648e+01, K = 1, iteration = 210, H = 4.01431e+00\n", - "log(Z): -5.47511e+01, tol = 5.20405e+01, K = 1, iteration = 211, H = 3.95894e+00\n", - "log(Z): -5.46375e+01, tol = 5.19249e+01, K = 1, iteration = 212, H = 3.90559e+00\n", - "log(Z): -5.45046e+01, tol = 5.17900e+01, K = 1, iteration = 213, H = 3.87015e+00\n", - "log(Z): -5.43807e+01, tol = 5.16641e+01, K = 1, iteration = 214, H = 3.83315e+00\n", - "log(Z): -5.42700e+01, tol = 5.15514e+01, K = 1, iteration = 215, H = 3.79217e+00\n", - "log(Z): -5.41540e+01, tol = 5.14334e+01, K = 1, iteration = 216, H = 3.75918e+00\n", - "log(Z): -5.39229e+01, tol = 5.12003e+01, K = 1, iteration = 217, H = 3.84606e+00\n", - "log(Z): -5.37160e+01, tol = 5.09915e+01, K = 1, iteration = 218, H = 3.88832e+00\n", - "log(Z): -5.35056e+01, tol = 5.07790e+01, K = 1, iteration = 219, H = 3.92683e+00\n", - "log(Z): -5.33319e+01, tol = 5.06033e+01, K = 1, iteration = 220, H = 3.92289e+00\n", - "log(Z): -5.30895e+01, tol = 5.03589e+01, K = 1, iteration = 221, H = 3.99029e+00\n", - "log(Z): -5.28881e+01, tol = 5.01556e+01, K = 1, iteration = 222, H = 4.00175e+00\n", - "log(Z): -5.26782e+01, tol = 4.99436e+01, K = 1, iteration = 223, H = 4.01979e+00\n", - "log(Z): -5.24845e+01, tol = 4.97479e+01, K = 1, iteration = 224, H = 4.01954e+00\n", - "log(Z): -5.22853e+01, tol = 4.95467e+01, K = 1, iteration = 225, H = 4.02477e+00\n", - "log(Z): -5.20959e+01, tol = 4.93553e+01, K = 1, iteration = 226, H = 4.02051e+00\n", - "log(Z): -5.19240e+01, tol = 4.91814e+01, K = 1, iteration = 227, H = 4.00236e+00\n", - "log(Z): -5.17571e+01, tol = 4.90126e+01, K = 1, iteration = 228, H = 3.98324e+00\n", - "log(Z): -5.16093e+01, tol = 4.88628e+01, K = 1, iteration = 229, H = 3.95241e+00\n", - "log(Z): -5.14262e+01, tol = 4.86776e+01, K = 1, iteration = 230, H = 3.95617e+00\n", - "log(Z): -5.12555e+01, tol = 4.85049e+01, K = 1, iteration = 231, H = 3.94833e+00\n", - "log(Z): -5.10969e+01, tol = 4.83443e+01, K = 1, iteration = 232, H = 3.93178e+00\n", - "log(Z): -5.09299e+01, tol = 4.81753e+01, K = 1, iteration = 233, H = 3.92513e+00\n", - "log(Z): -5.07814e+01, tol = 4.80248e+01, K = 1, iteration = 234, H = 3.90421e+00\n", - "log(Z): -5.06260e+01, tol = 4.78674e+01, K = 1, iteration = 235, H = 3.89220e+00\n", - "log(Z): -5.04913e+01, tol = 4.77307e+01, K = 1, iteration = 236, H = 3.86549e+00\n", - "log(Z): -5.03614e+01, tol = 4.75988e+01, K = 1, iteration = 237, H = 3.83872e+00\n", - "log(Z): -5.02295e+01, tol = 4.74650e+01, K = 1, iteration = 238, H = 3.81701e+00\n", - "log(Z): -5.00960e+01, tol = 4.73294e+01, K = 1, iteration = 239, H = 3.79959e+00\n", - "log(Z): -4.99561e+01, tol = 4.71875e+01, K = 1, iteration = 240, H = 3.78997e+00\n", - "log(Z): -4.98137e+01, tol = 4.70431e+01, K = 1, iteration = 241, H = 3.78409e+00\n", - "log(Z): -4.96720e+01, tol = 4.68994e+01, K = 1, iteration = 242, H = 3.77862e+00\n", - "log(Z): -4.94214e+01, tol = 4.66469e+01, K = 1, iteration = 243, H = 3.89702e+00\n", - "log(Z): -4.92133e+01, tol = 4.64367e+01, K = 1, iteration = 244, H = 3.94083e+00\n", - "log(Z): -4.90143e+01, tol = 4.62357e+01, K = 1, iteration = 245, H = 3.96731e+00\n", - "log(Z): -4.88266e+01, tol = 4.60461e+01, K = 1, iteration = 246, H = 3.97823e+00\n", - "log(Z): -4.86599e+01, tol = 4.58774e+01, K = 1, iteration = 247, H = 3.96850e+00\n", - "log(Z): -4.85068e+01, tol = 4.57222e+01, K = 1, iteration = 248, H = 3.94913e+00\n", - "log(Z): -4.83555e+01, tol = 4.55689e+01, K = 1, iteration = 249, H = 3.93134e+00\n", - "log(Z): -4.82013e+01, tol = 4.54128e+01, K = 1, iteration = 250, H = 3.91869e+00\n", - "log(Z): -4.80663e+01, tol = 4.52757e+01, K = 1, iteration = 251, H = 3.89264e+00\n", - "log(Z): -4.79291e+01, tol = 4.51365e+01, K = 1, iteration = 252, H = 3.87187e+00\n", - "log(Z): -4.77667e+01, tol = 4.49721e+01, K = 1, iteration = 253, H = 3.87621e+00\n", - "log(Z): -4.76186e+01, tol = 4.48221e+01, K = 1, iteration = 254, H = 3.86719e+00\n", - "log(Z): -4.74601e+01, tol = 4.46615e+01, K = 1, iteration = 255, H = 3.86916e+00\n", - "log(Z): -4.73216e+01, tol = 4.45210e+01, K = 1, iteration = 256, H = 3.85349e+00\n", - "log(Z): -4.71957e+01, tol = 4.43932e+01, K = 1, iteration = 257, H = 3.82994e+00\n", - "log(Z): -4.70687e+01, tol = 4.42642e+01, K = 1, iteration = 258, H = 3.81032e+00\n", - "log(Z): -4.69325e+01, tol = 4.41259e+01, K = 1, iteration = 259, H = 3.80106e+00\n", - "log(Z): -4.68122e+01, tol = 4.40036e+01, K = 1, iteration = 260, H = 3.78000e+00\n", - "log(Z): -4.66837e+01, tol = 4.38731e+01, K = 1, iteration = 261, H = 3.76827e+00\n", - "log(Z): -4.65675e+01, tol = 4.37549e+01, K = 1, iteration = 262, H = 3.74816e+00\n", - "log(Z): -4.64622e+01, tol = 4.36476e+01, K = 1, iteration = 263, H = 3.72215e+00\n", - "log(Z): -4.63577e+01, tol = 4.35411e+01, K = 1, iteration = 264, H = 3.69841e+00\n", - "log(Z): -4.62626e+01, tol = 4.34440e+01, K = 1, iteration = 265, H = 3.67048e+00\n", - "log(Z): -4.61636e+01, tol = 4.33431e+01, K = 1, iteration = 266, H = 3.64799e+00\n", - "log(Z): -4.60640e+01, tol = 4.32415e+01, K = 1, iteration = 267, H = 3.62834e+00\n", - "log(Z): -4.59712e+01, tol = 4.31466e+01, K = 1, iteration = 268, H = 3.60567e+00\n", - "log(Z): -4.58830e+01, tol = 4.30564e+01, K = 1, iteration = 269, H = 3.58180e+00\n", - "log(Z): -4.57861e+01, tol = 4.29575e+01, K = 1, iteration = 270, H = 3.56677e+00\n", - "log(Z): -4.56779e+01, tol = 4.28473e+01, K = 1, iteration = 271, H = 3.56314e+00\n", - "log(Z): -4.55671e+01, tol = 4.27345e+01, K = 1, iteration = 272, H = 3.56247e+00\n", - "log(Z): -4.54610e+01, tol = 4.26264e+01, K = 1, iteration = 273, H = 3.55778e+00\n", - "log(Z): -4.53648e+01, tol = 4.25282e+01, K = 1, iteration = 274, H = 3.54514e+00\n", - "log(Z): -4.52756e+01, tol = 4.24370e+01, K = 1, iteration = 275, H = 3.52819e+00\n", - "log(Z): -4.51800e+01, tol = 4.23395e+01, K = 1, iteration = 276, H = 3.51807e+00\n", - "log(Z): -4.50928e+01, tol = 4.22503e+01, K = 1, iteration = 277, H = 3.50217e+00\n", - "log(Z): -4.49889e+01, tol = 4.21443e+01, K = 1, iteration = 278, H = 3.50252e+00\n", - "log(Z): -4.48906e+01, tol = 4.20440e+01, K = 1, iteration = 279, H = 3.49773e+00\n", - "log(Z): -4.47954e+01, tol = 4.19468e+01, K = 1, iteration = 280, H = 3.49076e+00\n", - "log(Z): -4.46707e+01, tol = 4.18201e+01, K = 1, iteration = 281, H = 3.51451e+00\n", - "log(Z): -4.45546e+01, tol = 4.17021e+01, K = 1, iteration = 282, H = 3.52643e+00\n", - "log(Z): -4.44480e+01, tol = 4.15934e+01, K = 1, iteration = 283, H = 3.52793e+00\n", - "log(Z): -4.43401e+01, tol = 4.14835e+01, K = 1, iteration = 284, H = 3.53061e+00\n", - "log(Z): -4.42258e+01, tol = 4.13673e+01, K = 1, iteration = 285, H = 3.53960e+00\n", - "log(Z): -4.40966e+01, tol = 4.12360e+01, K = 1, iteration = 286, H = 3.56376e+00\n", - "log(Z): -4.39816e+01, tol = 4.11190e+01, K = 1, iteration = 287, H = 3.57033e+00\n", - "log(Z): -4.38719e+01, tol = 4.10074e+01, K = 1, iteration = 288, H = 3.57119e+00\n", - "log(Z): -4.37317e+01, tol = 4.08652e+01, K = 1, iteration = 289, H = 3.60453e+00\n", - "log(Z): -4.35122e+01, tol = 4.06436e+01, K = 1, iteration = 290, H = 3.73678e+00\n", - "log(Z): -4.32640e+01, tol = 4.03935e+01, K = 1, iteration = 291, H = 3.88238e+00\n", - "log(Z): -4.30603e+01, tol = 4.01877e+01, K = 1, iteration = 292, H = 3.94184e+00\n", - "log(Z): -4.28574e+01, tol = 3.99828e+01, K = 1, iteration = 293, H = 3.98981e+00\n", - "log(Z): -4.26617e+01, tol = 3.97851e+01, K = 1, iteration = 294, H = 4.02164e+00\n", - "log(Z): -4.24930e+01, tol = 3.96144e+01, K = 1, iteration = 295, H = 4.02178e+00\n", - "log(Z): -4.23483e+01, tol = 3.94678e+01, K = 1, iteration = 296, H = 4.00153e+00\n", - "log(Z): -4.22188e+01, tol = 3.93362e+01, K = 1, iteration = 297, H = 3.97257e+00\n", - "log(Z): -4.21031e+01, tol = 3.92185e+01, K = 1, iteration = 298, H = 3.93760e+00\n", - "log(Z): -4.19819e+01, tol = 3.90954e+01, K = 1, iteration = 299, H = 3.91050e+00\n", - "log(Z): -4.18727e+01, tol = 3.89842e+01, K = 1, iteration = 300, H = 3.87823e+00\n", - "log(Z): -4.17740e+01, tol = 3.88835e+01, K = 1, iteration = 301, H = 3.84264e+00\n", - "log(Z): -4.16829e+01, tol = 3.87903e+01, K = 1, iteration = 302, H = 3.80598e+00\n", - "log(Z): -4.15883e+01, tol = 3.86937e+01, K = 1, iteration = 303, H = 3.77485e+00\n", - "log(Z): -4.14998e+01, tol = 3.86032e+01, K = 1, iteration = 304, H = 3.74283e+00\n", - "log(Z): -4.14172e+01, tol = 3.85186e+01, K = 1, iteration = 305, H = 3.71008e+00\n", - "log(Z): -4.13404e+01, tol = 3.84398e+01, K = 1, iteration = 306, H = 3.67672e+00\n", - "log(Z): -4.12621e+01, tol = 3.83595e+01, K = 1, iteration = 307, H = 3.64685e+00\n", - "log(Z): -4.11870e+01, tol = 3.82824e+01, K = 1, iteration = 308, H = 3.61741e+00\n", - "log(Z): -4.11153e+01, tol = 3.82087e+01, K = 1, iteration = 309, H = 3.58830e+00\n", - "log(Z): -4.10426e+01, tol = 3.81341e+01, K = 1, iteration = 310, H = 3.56186e+00\n", - "log(Z): -4.09749e+01, tol = 3.80644e+01, K = 1, iteration = 311, H = 3.53442e+00\n", - "log(Z): -4.09103e+01, tol = 3.79978e+01, K = 1, iteration = 312, H = 3.50711e+00\n", - "log(Z): -4.08454e+01, tol = 3.79308e+01, K = 1, iteration = 313, H = 3.48184e+00\n", - "log(Z): -4.07704e+01, tol = 3.78538e+01, K = 1, iteration = 314, H = 3.46519e+00\n", - "log(Z): -4.06879e+01, tol = 3.77693e+01, K = 1, iteration = 315, H = 3.45593e+00\n", - "log(Z): -4.06079e+01, tol = 3.76874e+01, K = 1, iteration = 316, H = 3.44540e+00\n", - "log(Z): -4.05334e+01, tol = 3.76108e+01, K = 1, iteration = 317, H = 3.43147e+00\n", - "log(Z): -4.04635e+01, tol = 3.75389e+01, K = 1, iteration = 318, H = 3.41508e+00\n", - "log(Z): -4.03979e+01, tol = 3.74713e+01, K = 1, iteration = 319, H = 3.39681e+00\n", - "log(Z): -4.03357e+01, tol = 3.74071e+01, K = 1, iteration = 320, H = 3.37744e+00\n", - "log(Z): -4.02759e+01, tol = 3.73453e+01, K = 1, iteration = 321, H = 3.35779e+00\n", - "log(Z): -4.02191e+01, tol = 3.72865e+01, K = 1, iteration = 322, H = 3.33743e+00\n", - "log(Z): -4.01552e+01, tol = 3.72206e+01, K = 1, iteration = 323, H = 3.32330e+00\n", - "log(Z): -4.00882e+01, tol = 3.71517e+01, K = 1, iteration = 324, H = 3.31256e+00\n", - "log(Z): -4.00240e+01, tol = 3.70854e+01, K = 1, iteration = 325, H = 3.30049e+00\n", - "log(Z): -3.99537e+01, tol = 3.70131e+01, K = 1, iteration = 326, H = 3.29436e+00\n", - "log(Z): -3.98740e+01, tol = 3.69314e+01, K = 1, iteration = 327, H = 3.29771e+00\n", - "log(Z): -3.97994e+01, tol = 3.68548e+01, K = 1, iteration = 328, H = 3.29594e+00\n", - "log(Z): -3.97290e+01, tol = 3.67824e+01, K = 1, iteration = 329, H = 3.29067e+00\n", - "log(Z): -3.96549e+01, tol = 3.67064e+01, K = 1, iteration = 330, H = 3.28921e+00\n", - "log(Z): -3.95830e+01, tol = 3.66325e+01, K = 1, iteration = 331, H = 3.28601e+00\n", - "log(Z): -3.95025e+01, tol = 3.65499e+01, K = 1, iteration = 332, H = 3.29158e+00\n", - "log(Z): -3.94227e+01, tol = 3.64681e+01, K = 1, iteration = 333, H = 3.29618e+00\n", - "log(Z): -3.93488e+01, tol = 3.63922e+01, K = 1, iteration = 334, H = 3.29476e+00\n", - "log(Z): -3.92668e+01, tol = 3.63082e+01, K = 1, iteration = 335, H = 3.30163e+00\n", - "log(Z): -3.91890e+01, tol = 3.62284e+01, K = 1, iteration = 336, H = 3.30389e+00\n", - "log(Z): -3.90990e+01, tol = 3.61364e+01, K = 1, iteration = 337, H = 3.31901e+00\n", - "log(Z): -3.90117e+01, tol = 3.60472e+01, K = 1, iteration = 338, H = 3.32997e+00\n", - "log(Z): -3.89314e+01, tol = 3.59649e+01, K = 1, iteration = 339, H = 3.33301e+00\n", - "log(Z): -3.88374e+01, tol = 3.58688e+01, K = 1, iteration = 340, H = 3.35060e+00\n", - "log(Z): -3.86975e+01, tol = 3.57269e+01, K = 1, iteration = 341, H = 3.42603e+00\n", - "log(Z): -3.85708e+01, tol = 3.55982e+01, K = 1, iteration = 342, H = 3.47424e+00\n", - "log(Z): -3.84442e+01, tol = 3.54696e+01, K = 1, iteration = 343, H = 3.51680e+00\n", - "log(Z): -3.83276e+01, tol = 3.53510e+01, K = 1, iteration = 344, H = 3.54265e+00\n", - "log(Z): -3.81966e+01, tol = 3.52180e+01, K = 1, iteration = 345, H = 3.58293e+00\n", - "log(Z): -3.80799e+01, tol = 3.50993e+01, K = 1, iteration = 346, H = 3.60207e+00\n", - "log(Z): -3.79747e+01, tol = 3.49921e+01, K = 1, iteration = 347, H = 3.60741e+00\n", - "log(Z): -3.78632e+01, tol = 3.48786e+01, K = 1, iteration = 348, H = 3.61880e+00\n", - "log(Z): -3.77457e+01, tol = 3.47591e+01, K = 1, iteration = 349, H = 3.63548e+00\n", - "log(Z): -3.76362e+01, tol = 3.46477e+01, K = 1, iteration = 350, H = 3.64228e+00\n", - "log(Z): -3.75372e+01, tol = 3.45466e+01, K = 1, iteration = 351, H = 3.63857e+00\n", - "log(Z): -3.74352e+01, tol = 3.44426e+01, K = 1, iteration = 352, H = 3.63821e+00\n", - "log(Z): -3.73390e+01, tol = 3.43445e+01, K = 1, iteration = 353, H = 3.63259e+00\n", - "log(Z): -3.72434e+01, tol = 3.42469e+01, K = 1, iteration = 354, H = 3.62722e+00\n", - "log(Z): -3.71342e+01, tol = 3.41356e+01, K = 1, iteration = 355, H = 3.63566e+00\n", - "log(Z): -3.70353e+01, tol = 3.40347e+01, K = 1, iteration = 356, H = 3.63344e+00\n", - "log(Z): -3.69449e+01, tol = 3.39423e+01, K = 1, iteration = 357, H = 3.62394e+00\n", - "log(Z): -3.68602e+01, tol = 3.38556e+01, K = 1, iteration = 358, H = 3.61070e+00\n", - "log(Z): -3.67779e+01, tol = 3.37713e+01, K = 1, iteration = 359, H = 3.59673e+00\n", - "log(Z): -3.67006e+01, tol = 3.36921e+01, K = 1, iteration = 360, H = 3.58006e+00\n", - "log(Z): -3.66270e+01, tol = 3.36164e+01, K = 1, iteration = 361, H = 3.56206e+00\n", - "log(Z): -3.65540e+01, tol = 3.35415e+01, K = 1, iteration = 362, H = 3.54501e+00\n", - "log(Z): -3.64826e+01, tol = 3.34680e+01, K = 1, iteration = 363, H = 3.52814e+00\n", - "log(Z): -3.64144e+01, tol = 3.33978e+01, K = 1, iteration = 364, H = 3.51023e+00\n", - "log(Z): -3.63313e+01, tol = 3.33128e+01, K = 1, iteration = 365, H = 3.50582e+00\n", - "log(Z): -3.62476e+01, tol = 3.32271e+01, K = 1, iteration = 366, H = 3.50252e+00\n", - "log(Z): -3.61673e+01, tol = 3.31447e+01, K = 1, iteration = 367, H = 3.49661e+00\n", - "log(Z): -3.60815e+01, tol = 3.30570e+01, K = 1, iteration = 368, H = 3.49633e+00\n", - "log(Z): -3.60012e+01, tol = 3.29746e+01, K = 1, iteration = 369, H = 3.49119e+00\n", - "log(Z): -3.59208e+01, tol = 3.28922e+01, K = 1, iteration = 370, H = 3.48665e+00\n", - "log(Z): -3.58404e+01, tol = 3.28098e+01, K = 1, iteration = 371, H = 3.48264e+00\n", - "log(Z): -3.57453e+01, tol = 3.27128e+01, K = 1, iteration = 372, H = 3.49364e+00\n", - "log(Z): -3.56587e+01, tol = 3.26241e+01, K = 1, iteration = 373, H = 3.49529e+00\n", - "log(Z): -3.55775e+01, tol = 3.25409e+01, K = 1, iteration = 374, H = 3.49178e+00\n", - "log(Z): -3.54985e+01, tol = 3.24599e+01, K = 1, iteration = 375, H = 3.48673e+00\n", - "log(Z): -3.54250e+01, tol = 3.23845e+01, K = 1, iteration = 376, H = 3.47735e+00\n", - "log(Z): -3.53519e+01, tol = 3.23094e+01, K = 1, iteration = 377, H = 3.46847e+00\n", - "log(Z): -3.52826e+01, tol = 3.22381e+01, K = 1, iteration = 378, H = 3.45720e+00\n", - "log(Z): -3.52109e+01, tol = 3.21644e+01, K = 1, iteration = 379, H = 3.44881e+00\n", - "log(Z): -3.51287e+01, tol = 3.20802e+01, K = 1, iteration = 380, H = 3.45088e+00\n", - "log(Z): -3.50484e+01, tol = 3.19978e+01, K = 1, iteration = 381, H = 3.45111e+00\n", - "log(Z): -3.49724e+01, tol = 3.19198e+01, K = 1, iteration = 382, H = 3.44736e+00\n", - "log(Z): -3.48986e+01, tol = 3.18441e+01, K = 1, iteration = 383, H = 3.44206e+00\n", - "log(Z): -3.48246e+01, tol = 3.17680e+01, K = 1, iteration = 384, H = 3.43749e+00\n", - "log(Z): -3.47512e+01, tol = 3.16926e+01, K = 1, iteration = 385, H = 3.43286e+00\n", - "log(Z): -3.46789e+01, tol = 3.16184e+01, K = 1, iteration = 386, H = 3.42760e+00\n", - "log(Z): -3.46114e+01, tol = 3.15489e+01, K = 1, iteration = 387, H = 3.41874e+00\n", - "log(Z): -3.45470e+01, tol = 3.14824e+01, K = 1, iteration = 388, H = 3.40806e+00\n", - "log(Z): -3.44856e+01, tol = 3.14190e+01, K = 1, iteration = 389, H = 3.39574e+00\n", - "log(Z): -3.44268e+01, tol = 3.13583e+01, K = 1, iteration = 390, H = 3.38222e+00\n", - "log(Z): -3.43698e+01, tol = 3.12992e+01, K = 1, iteration = 391, H = 3.36831e+00\n", - "log(Z): -3.43147e+01, tol = 3.12421e+01, K = 1, iteration = 392, H = 3.35386e+00\n", - "log(Z): -3.42609e+01, tol = 3.11863e+01, K = 1, iteration = 393, H = 3.33937e+00\n", - "log(Z): -3.42061e+01, tol = 3.11295e+01, K = 1, iteration = 394, H = 3.32649e+00\n", - "log(Z): -3.41102e+01, tol = 3.10316e+01, K = 1, iteration = 395, H = 3.35690e+00\n", - "log(Z): -3.40204e+01, tol = 3.09398e+01, K = 1, iteration = 396, H = 3.37731e+00\n", - "log(Z): -3.39319e+01, tol = 3.08494e+01, K = 1, iteration = 397, H = 3.39464e+00\n", - "log(Z): -3.38275e+01, tol = 3.07429e+01, K = 1, iteration = 398, H = 3.42989e+00\n", - "log(Z): -3.37302e+01, tol = 3.06437e+01, K = 1, iteration = 399, H = 3.45315e+00\n", - "log(Z): -3.36387e+01, tol = 3.05501e+01, K = 1, iteration = 400, H = 3.46795e+00\n", - "log(Z): -3.35517e+01, tol = 3.04612e+01, K = 1, iteration = 401, H = 3.47668e+00\n", - "log(Z): -3.34666e+01, tol = 3.03740e+01, K = 1, iteration = 402, H = 3.48301e+00\n", - "log(Z): -3.33874e+01, tol = 3.02928e+01, K = 1, iteration = 403, H = 3.48304e+00\n", - "log(Z): -3.33049e+01, tol = 3.02083e+01, K = 1, iteration = 404, H = 3.48647e+00\n", - "log(Z): -3.32217e+01, tol = 3.01231e+01, K = 1, iteration = 405, H = 3.49050e+00\n", - "log(Z): -3.31415e+01, tol = 3.00409e+01, K = 1, iteration = 406, H = 3.49140e+00\n", - "log(Z): -3.30669e+01, tol = 2.99643e+01, K = 1, iteration = 407, H = 3.48711e+00\n", - "log(Z): -3.29953e+01, tol = 2.98907e+01, K = 1, iteration = 408, H = 3.48060e+00\n", - "log(Z): -3.29209e+01, tol = 2.98143e+01, K = 1, iteration = 409, H = 3.47718e+00\n", - "log(Z): -3.28496e+01, tol = 2.97410e+01, K = 1, iteration = 410, H = 3.47134e+00\n", - "log(Z): -3.27814e+01, tol = 2.96709e+01, K = 1, iteration = 411, H = 3.46332e+00\n", - "log(Z): -3.27162e+01, tol = 2.96036e+01, K = 1, iteration = 412, H = 3.45351e+00\n", - "log(Z): -3.26522e+01, tol = 2.95376e+01, K = 1, iteration = 413, H = 3.44340e+00\n", - "log(Z): -3.25890e+01, tol = 2.94724e+01, K = 1, iteration = 414, H = 3.43338e+00\n", - "log(Z): -3.25290e+01, tol = 2.94105e+01, K = 1, iteration = 415, H = 3.42151e+00\n", - "log(Z): -3.24659e+01, tol = 2.93453e+01, K = 1, iteration = 416, H = 3.41305e+00\n", - "log(Z): -3.23896e+01, tol = 2.92670e+01, K = 1, iteration = 417, H = 3.41756e+00\n", - "log(Z): -3.23181e+01, tol = 2.91935e+01, K = 1, iteration = 418, H = 3.41714e+00\n", - "log(Z): -3.22514e+01, tol = 2.91249e+01, K = 1, iteration = 419, H = 3.41235e+00\n", - "log(Z): -3.21793e+01, tol = 2.90507e+01, K = 1, iteration = 420, H = 3.41318e+00\n", - "log(Z): -3.21081e+01, tol = 2.89775e+01, K = 1, iteration = 421, H = 3.41316e+00\n", - "log(Z): -3.20381e+01, tol = 2.89055e+01, K = 1, iteration = 422, H = 3.41213e+00\n", - "log(Z): -3.19682e+01, tol = 2.88336e+01, K = 1, iteration = 423, H = 3.41128e+00\n", - "log(Z): -3.19028e+01, tol = 2.87662e+01, K = 1, iteration = 424, H = 3.40638e+00\n", - "log(Z): -3.18292e+01, tol = 2.86906e+01, K = 1, iteration = 425, H = 3.40978e+00\n", - "log(Z): -3.17582e+01, tol = 2.86177e+01, K = 1, iteration = 426, H = 3.41045e+00\n", - "log(Z): -3.16863e+01, tol = 2.85437e+01, K = 1, iteration = 427, H = 3.41223e+00\n", - "log(Z): -3.16187e+01, tol = 2.84741e+01, K = 1, iteration = 428, H = 3.40975e+00\n", - "log(Z): -3.15443e+01, tol = 2.83978e+01, K = 1, iteration = 429, H = 3.41427e+00\n", - "log(Z): -3.14698e+01, tol = 2.83212e+01, K = 1, iteration = 430, H = 3.41881e+00\n", - "log(Z): -3.13992e+01, tol = 2.82487e+01, K = 1, iteration = 431, H = 3.41913e+00\n", - "log(Z): -3.13334e+01, tol = 2.81808e+01, K = 1, iteration = 432, H = 3.41519e+00\n", - "log(Z): -3.12689e+01, tol = 2.81144e+01, K = 1, iteration = 433, H = 3.41034e+00\n", - "log(Z): -3.11997e+01, tol = 2.80431e+01, K = 1, iteration = 434, H = 3.41043e+00\n", - "log(Z): -3.11304e+01, tol = 2.79719e+01, K = 1, iteration = 435, H = 3.41060e+00\n", - "log(Z): -3.10634e+01, tol = 2.79028e+01, K = 1, iteration = 436, H = 3.40881e+00\n", - "log(Z): -3.09981e+01, tol = 2.78355e+01, K = 1, iteration = 437, H = 3.40563e+00\n", - "log(Z): -3.09213e+01, tol = 2.77568e+01, K = 1, iteration = 438, H = 3.41425e+00\n", - "log(Z): -3.08476e+01, tol = 2.76810e+01, K = 1, iteration = 439, H = 3.41925e+00\n", - "log(Z): -3.07785e+01, tol = 2.76100e+01, K = 1, iteration = 440, H = 3.41933e+00\n", - "log(Z): -3.07091e+01, tol = 2.75385e+01, K = 1, iteration = 441, H = 3.41989e+00\n", - "log(Z): -3.06429e+01, tol = 2.74703e+01, K = 1, iteration = 442, H = 3.41751e+00\n", - "log(Z): -3.05789e+01, tol = 2.74043e+01, K = 1, iteration = 443, H = 3.41338e+00\n", - "log(Z): -3.05014e+01, tol = 2.73249e+01, K = 1, iteration = 444, H = 3.42306e+00\n", - "log(Z): -3.04275e+01, tol = 2.72489e+01, K = 1, iteration = 445, H = 3.42848e+00\n", - "log(Z): -3.03546e+01, tol = 2.71741e+01, K = 1, iteration = 446, H = 3.43249e+00\n", - "log(Z): -3.02859e+01, tol = 2.71034e+01, K = 1, iteration = 447, H = 3.43229e+00\n", - "log(Z): -3.02215e+01, tol = 2.70369e+01, K = 1, iteration = 448, H = 3.42827e+00\n", - "log(Z): -3.01589e+01, tol = 2.69723e+01, K = 1, iteration = 449, H = 3.42296e+00\n", - "log(Z): -3.00992e+01, tol = 2.69107e+01, K = 1, iteration = 450, H = 3.41548e+00\n", - "log(Z): -3.00411e+01, tol = 2.68506e+01, K = 1, iteration = 451, H = 3.40727e+00\n", - "log(Z): -2.99858e+01, tol = 2.67932e+01, K = 1, iteration = 452, H = 3.39737e+00\n", - "log(Z): -2.99220e+01, tol = 2.67274e+01, K = 1, iteration = 453, H = 3.39548e+00\n", - "log(Z): -2.98600e+01, tol = 2.66634e+01, K = 1, iteration = 454, H = 3.39222e+00\n", - "log(Z): -2.97993e+01, tol = 2.66007e+01, K = 1, iteration = 455, H = 3.38806e+00\n", - "log(Z): -2.97370e+01, tol = 2.65364e+01, K = 1, iteration = 456, H = 3.38574e+00\n", - "log(Z): -2.96655e+01, tol = 2.64629e+01, K = 1, iteration = 457, H = 3.39289e+00\n", - "log(Z): -2.95958e+01, tol = 2.63912e+01, K = 1, iteration = 458, H = 3.39776e+00\n", - "log(Z): -2.95254e+01, tol = 2.63188e+01, K = 1, iteration = 459, H = 3.40328e+00\n", - "log(Z): -2.94574e+01, tol = 2.62488e+01, K = 1, iteration = 460, H = 3.40604e+00\n", - "log(Z): -2.93880e+01, tol = 2.61774e+01, K = 1, iteration = 461, H = 3.41011e+00\n", - "log(Z): -2.93223e+01, tol = 2.61097e+01, K = 1, iteration = 462, H = 3.41038e+00\n", - "log(Z): -2.92605e+01, tol = 2.60459e+01, K = 1, iteration = 463, H = 3.40715e+00\n", - "log(Z): -2.92016e+01, tol = 2.59850e+01, K = 1, iteration = 464, H = 3.40154e+00\n", - "log(Z): -2.91431e+01, tol = 2.59245e+01, K = 1, iteration = 465, H = 3.39608e+00\n", - "log(Z): -2.90862e+01, tol = 2.58656e+01, K = 1, iteration = 466, H = 3.38957e+00\n", - "log(Z): -2.90321e+01, tol = 2.58095e+01, K = 1, iteration = 467, H = 3.38118e+00\n", - "log(Z): -2.89801e+01, tol = 2.57555e+01, K = 1, iteration = 468, H = 3.37170e+00\n", - "log(Z): -2.89306e+01, tol = 2.57041e+01, K = 1, iteration = 469, H = 3.36071e+00\n", - "log(Z): -2.88832e+01, tol = 2.56546e+01, K = 1, iteration = 470, H = 3.34889e+00\n", - "log(Z): -2.88351e+01, tol = 2.56046e+01, K = 1, iteration = 471, H = 3.33815e+00\n", - "log(Z): -2.87891e+01, tol = 2.55566e+01, K = 1, iteration = 472, H = 3.32647e+00\n", - "log(Z): -2.87452e+01, tol = 2.55107e+01, K = 1, iteration = 473, H = 3.31390e+00\n", - "log(Z): -2.87017e+01, tol = 2.54651e+01, K = 1, iteration = 474, H = 3.30169e+00\n", - "log(Z): -2.86596e+01, tol = 2.54211e+01, K = 1, iteration = 475, H = 3.28905e+00\n", - "log(Z): -2.86186e+01, tol = 2.53780e+01, K = 1, iteration = 476, H = 3.27633e+00\n", - "log(Z): -2.85786e+01, tol = 2.53361e+01, K = 1, iteration = 477, H = 3.26344e+00\n", - "log(Z): -2.85385e+01, tol = 2.52939e+01, K = 1, iteration = 478, H = 3.25127e+00\n", - "log(Z): -2.84932e+01, tol = 2.52467e+01, K = 1, iteration = 479, H = 3.24353e+00\n", - "log(Z): -2.84470e+01, tol = 2.51984e+01, K = 1, iteration = 480, H = 3.23704e+00\n", - "log(Z): -2.84016e+01, tol = 2.51510e+01, K = 1, iteration = 481, H = 3.23018e+00\n", - "log(Z): -2.83564e+01, tol = 2.51038e+01, K = 1, iteration = 482, H = 3.22359e+00\n", - "log(Z): -2.83130e+01, tol = 2.50584e+01, K = 1, iteration = 483, H = 3.21590e+00\n", - "log(Z): -2.82703e+01, tol = 2.50137e+01, K = 1, iteration = 484, H = 3.20803e+00\n", - "log(Z): -2.82238e+01, tol = 2.49652e+01, K = 1, iteration = 485, H = 3.20387e+00\n", - "log(Z): -2.81761e+01, tol = 2.49155e+01, K = 1, iteration = 486, H = 3.20097e+00\n", - "log(Z): -2.81290e+01, tol = 2.48664e+01, K = 1, iteration = 487, H = 3.19779e+00\n", - "log(Z): -2.80835e+01, tol = 2.48189e+01, K = 1, iteration = 488, H = 3.19345e+00\n", - "log(Z): -2.80389e+01, tol = 2.47723e+01, K = 1, iteration = 489, H = 3.18856e+00\n", - "log(Z): -2.79954e+01, tol = 2.47268e+01, K = 1, iteration = 490, H = 3.18304e+00\n", - "log(Z): -2.79521e+01, tol = 2.46816e+01, K = 1, iteration = 491, H = 3.17760e+00\n", - "log(Z): -2.79099e+01, tol = 2.46374e+01, K = 1, iteration = 492, H = 3.17158e+00\n", - "log(Z): -2.78693e+01, tol = 2.45947e+01, K = 1, iteration = 493, H = 3.16460e+00\n", - "log(Z): -2.78283e+01, tol = 2.45517e+01, K = 1, iteration = 494, H = 3.15828e+00\n", - "log(Z): -2.77851e+01, tol = 2.45066e+01, K = 1, iteration = 495, H = 3.15417e+00\n", - "log(Z): -2.77403e+01, tol = 2.44597e+01, K = 1, iteration = 496, H = 3.15185e+00\n", - "log(Z): -2.76963e+01, tol = 2.44137e+01, K = 1, iteration = 497, H = 3.14896e+00\n", - "log(Z): -2.76535e+01, tol = 2.43689e+01, K = 1, iteration = 498, H = 3.14514e+00\n", - "log(Z): -2.76125e+01, tol = 2.43259e+01, K = 1, iteration = 499, H = 3.13998e+00\n", - "log(Z): -2.75732e+01, tol = 2.42846e+01, K = 1, iteration = 500, H = 3.13372e+00\n", - "log(Z): -2.75342e+01, tol = 2.42437e+01, K = 1, iteration = 501, H = 3.12747e+00\n", - "log(Z): -2.74948e+01, tol = 2.42022e+01, K = 1, iteration = 502, H = 3.12193e+00\n", - "log(Z): -2.74553e+01, tol = 2.41607e+01, K = 1, iteration = 503, H = 3.11678e+00\n", - "log(Z): -2.74165e+01, tol = 2.41199e+01, K = 1, iteration = 504, H = 3.11125e+00\n", - "log(Z): -2.73778e+01, tol = 2.40792e+01, K = 1, iteration = 505, H = 3.10593e+00\n", - "log(Z): -2.73394e+01, tol = 2.40388e+01, K = 1, iteration = 506, H = 3.10070e+00\n", - "log(Z): -2.72978e+01, tol = 2.39952e+01, K = 1, iteration = 507, H = 3.09853e+00\n", - "log(Z): -2.72571e+01, tol = 2.39525e+01, K = 1, iteration = 508, H = 3.09574e+00\n", - "log(Z): -2.72180e+01, tol = 2.39114e+01, K = 1, iteration = 509, H = 3.09164e+00\n", - "log(Z): -2.71796e+01, tol = 2.38710e+01, K = 1, iteration = 510, H = 3.08724e+00\n", - "log(Z): -2.71393e+01, tol = 2.38287e+01, K = 1, iteration = 511, H = 3.08472e+00\n", - "log(Z): -2.71003e+01, tol = 2.37878e+01, K = 1, iteration = 512, H = 3.08120e+00\n", - "log(Z): -2.70606e+01, tol = 2.37460e+01, K = 1, iteration = 513, H = 3.07861e+00\n", - "log(Z): -2.70216e+01, tol = 2.37050e+01, K = 1, iteration = 514, H = 3.07548e+00\n", - "log(Z): -2.69840e+01, tol = 2.36654e+01, K = 1, iteration = 515, H = 3.07130e+00\n", - "log(Z): -2.69477e+01, tol = 2.36271e+01, K = 1, iteration = 516, H = 3.06625e+00\n", - "log(Z): -2.69126e+01, tol = 2.35900e+01, K = 1, iteration = 517, H = 3.06045e+00\n", - "log(Z): -2.68787e+01, tol = 2.35542e+01, K = 1, iteration = 518, H = 3.05391e+00\n", - "log(Z): -2.68447e+01, tol = 2.35181e+01, K = 1, iteration = 519, H = 3.04779e+00\n", - "log(Z): -2.68107e+01, tol = 2.34821e+01, K = 1, iteration = 520, H = 3.04193e+00\n", - "log(Z): -2.67775e+01, tol = 2.34469e+01, K = 1, iteration = 521, H = 3.03568e+00\n", - "log(Z): -2.67451e+01, tol = 2.34125e+01, K = 1, iteration = 522, H = 3.02906e+00\n", - "log(Z): -2.67132e+01, tol = 2.33786e+01, K = 1, iteration = 523, H = 3.02230e+00\n", - "log(Z): -2.66778e+01, tol = 2.33413e+01, K = 1, iteration = 524, H = 3.01875e+00\n", - "log(Z): -2.66433e+01, tol = 2.33047e+01, K = 1, iteration = 525, H = 3.01466e+00\n", - "log(Z): -2.66094e+01, tol = 2.32688e+01, K = 1, iteration = 526, H = 3.01020e+00\n", - "log(Z): -2.65757e+01, tol = 2.32331e+01, K = 1, iteration = 527, H = 3.00583e+00\n", - "log(Z): -2.65416e+01, tol = 2.31970e+01, K = 1, iteration = 528, H = 3.00197e+00\n", - "log(Z): -2.65085e+01, tol = 2.31619e+01, K = 1, iteration = 529, H = 2.99744e+00\n", - "log(Z): -2.64748e+01, tol = 2.31263e+01, K = 1, iteration = 530, H = 2.99361e+00\n", - "log(Z): -2.64423e+01, tol = 2.30917e+01, K = 1, iteration = 531, H = 2.98901e+00\n", - "log(Z): -2.64094e+01, tol = 2.30568e+01, K = 1, iteration = 532, H = 2.98500e+00\n", - "log(Z): -2.63743e+01, tol = 2.30197e+01, K = 1, iteration = 533, H = 2.98306e+00\n", - "log(Z): -2.63400e+01, tol = 2.29834e+01, K = 1, iteration = 534, H = 2.98058e+00\n", - "log(Z): -2.63051e+01, tol = 2.29466e+01, K = 1, iteration = 535, H = 2.97872e+00\n", - "log(Z): -2.62707e+01, tol = 2.29102e+01, K = 1, iteration = 536, H = 2.97661e+00\n", - "log(Z): -2.62373e+01, tol = 2.28747e+01, K = 1, iteration = 537, H = 2.97377e+00\n", - "log(Z): -2.62031e+01, tol = 2.28385e+01, K = 1, iteration = 538, H = 2.97177e+00\n", - "log(Z): -2.61700e+01, tol = 2.28034e+01, K = 1, iteration = 539, H = 2.96884e+00\n", - "log(Z): -2.61378e+01, tol = 2.27692e+01, K = 1, iteration = 540, H = 2.96536e+00\n", - "log(Z): -2.61017e+01, tol = 2.27312e+01, K = 1, iteration = 541, H = 2.96561e+00\n", - "log(Z): -2.60657e+01, tol = 2.26932e+01, K = 1, iteration = 542, H = 2.96588e+00\n", - "log(Z): -2.60308e+01, tol = 2.26562e+01, K = 1, iteration = 543, H = 2.96521e+00\n", - "log(Z): -2.59960e+01, tol = 2.26195e+01, K = 1, iteration = 544, H = 2.96440e+00\n", - "log(Z): -2.59601e+01, tol = 2.25815e+01, K = 1, iteration = 545, H = 2.96489e+00\n", - "log(Z): -2.59245e+01, tol = 2.25440e+01, K = 1, iteration = 546, H = 2.96500e+00\n", - "log(Z): -2.58897e+01, tol = 2.25071e+01, K = 1, iteration = 547, H = 2.96452e+00\n", - "log(Z): -2.58555e+01, tol = 2.24709e+01, K = 1, iteration = 548, H = 2.96347e+00\n", - "log(Z): -2.58218e+01, tol = 2.24353e+01, K = 1, iteration = 549, H = 2.96205e+00\n", - "log(Z): -2.57891e+01, tol = 2.24005e+01, K = 1, iteration = 550, H = 2.95988e+00\n", - "log(Z): -2.57571e+01, tol = 2.23665e+01, K = 1, iteration = 551, H = 2.95717e+00\n", - "log(Z): -2.57255e+01, tol = 2.23329e+01, K = 1, iteration = 552, H = 2.95422e+00\n", - "log(Z): -2.56874e+01, tol = 2.22928e+01, K = 1, iteration = 553, H = 2.95791e+00\n", - "log(Z): -2.56503e+01, tol = 2.22538e+01, K = 1, iteration = 554, H = 2.96036e+00\n", - "log(Z): -2.56137e+01, tol = 2.22151e+01, K = 1, iteration = 555, H = 2.96241e+00\n", - "log(Z): -2.55772e+01, tol = 2.21766e+01, K = 1, iteration = 556, H = 2.96430e+00\n", - "log(Z): -2.55380e+01, tol = 2.24579e+01, K = 1, iteration = 557, H = 2.96902e+00\n", - "log(Z): -2.54994e+01, tol = 2.24172e+01, K = 1, iteration = 558, H = 2.97312e+00\n", - "log(Z): -2.54608e+01, tol = 2.23766e+01, K = 1, iteration = 559, H = 2.97706e+00\n", - "log(Z): -2.54234e+01, tol = 2.23372e+01, K = 1, iteration = 560, H = 2.97964e+00\n", - "log(Z): -2.53816e+01, tol = 2.22935e+01, K = 1, iteration = 561, H = 2.98698e+00\n", - "log(Z): -2.53416e+01, tol = 2.22515e+01, K = 1, iteration = 562, H = 2.99216e+00\n", - "log(Z): -2.53031e+01, tol = 2.22110e+01, K = 1, iteration = 563, H = 2.99554e+00\n", - "log(Z): -2.52608e+01, tol = 2.21667e+01, K = 1, iteration = 564, H = 3.00312e+00\n", - "log(Z): -2.52202e+01, tol = 2.21241e+01, K = 1, iteration = 565, H = 3.00858e+00\n", - "log(Z): -2.51798e+01, tol = 2.20817e+01, K = 1, iteration = 566, H = 3.01361e+00\n", - "log(Z): -2.51401e+01, tol = 2.20400e+01, K = 1, iteration = 567, H = 3.01778e+00\n", - "log(Z): -2.51015e+01, tol = 2.19994e+01, K = 1, iteration = 568, H = 3.02072e+00\n", - "log(Z): -2.50588e+01, tol = 2.19546e+01, K = 1, iteration = 569, H = 3.02823e+00\n", - "log(Z): -2.50168e+01, tol = 2.19107e+01, K = 1, iteration = 570, H = 3.03455e+00\n", - "log(Z): -2.49761e+01, tol = 2.18680e+01, K = 1, iteration = 571, H = 3.03929e+00\n", - "log(Z): -2.49336e+01, tol = 2.18234e+01, K = 1, iteration = 572, H = 3.04603e+00\n", - "log(Z): -2.48918e+01, tol = 2.17797e+01, K = 1, iteration = 573, H = 3.05165e+00\n", - "log(Z): -2.48497e+01, tol = 2.17356e+01, K = 1, iteration = 574, H = 3.05752e+00\n", - "log(Z): -2.48061e+01, tol = 2.16900e+01, K = 1, iteration = 575, H = 3.06491e+00\n", - "log(Z): -2.47637e+01, tol = 2.16456e+01, K = 1, iteration = 576, H = 3.07069e+00\n", - "log(Z): -2.47155e+01, tol = 2.15954e+01, K = 1, iteration = 577, H = 3.08321e+00\n", - "log(Z): -2.46694e+01, tol = 2.15473e+01, K = 1, iteration = 578, H = 3.09258e+00\n", - "log(Z): -2.46243e+01, tol = 2.15002e+01, K = 1, iteration = 579, H = 3.10056e+00\n", - "log(Z): -2.45810e+01, tol = 2.14549e+01, K = 1, iteration = 580, H = 3.10616e+00\n", - "log(Z): -2.45364e+01, tol = 2.14082e+01, K = 1, iteration = 581, H = 3.11320e+00\n", - "log(Z): -2.44930e+01, tol = 2.13629e+01, K = 1, iteration = 582, H = 3.11857e+00\n", - "log(Z): -2.44504e+01, tol = 2.13183e+01, K = 1, iteration = 583, H = 3.12292e+00\n", - "log(Z): -2.44093e+01, tol = 2.12752e+01, K = 1, iteration = 584, H = 3.12562e+00\n", - "log(Z): -2.43681e+01, tol = 2.12320e+01, K = 1, iteration = 585, H = 3.12840e+00\n", - "log(Z): -2.43282e+01, tol = 2.11901e+01, K = 1, iteration = 586, H = 3.12980e+00\n", - "log(Z): -2.42883e+01, tol = 2.11482e+01, K = 1, iteration = 587, H = 3.13124e+00\n", - "log(Z): -2.42497e+01, tol = 2.11076e+01, K = 1, iteration = 588, H = 3.13135e+00\n", - "log(Z): -2.42067e+01, tol = 2.10626e+01, K = 1, iteration = 589, H = 3.13617e+00\n", - "log(Z): -2.41649e+01, tol = 2.10188e+01, K = 1, iteration = 590, H = 3.13947e+00\n", - "log(Z): -2.41236e+01, tol = 2.09755e+01, K = 1, iteration = 591, H = 3.14232e+00\n", - "log(Z): -2.40839e+01, tol = 2.09338e+01, K = 1, iteration = 592, H = 3.14341e+00\n", - "log(Z): -2.40424e+01, tol = 2.08903e+01, K = 1, iteration = 593, H = 3.14643e+00\n", - "log(Z): -2.39992e+01, tol = 2.08451e+01, K = 1, iteration = 594, H = 3.15123e+00\n", - "log(Z): -2.39573e+01, tol = 2.08012e+01, K = 1, iteration = 595, H = 3.15452e+00\n", - "log(Z): -2.39171e+01, tol = 2.07590e+01, K = 1, iteration = 596, H = 3.15601e+00\n", - "log(Z): -2.38774e+01, tol = 2.07173e+01, K = 1, iteration = 597, H = 3.15696e+00\n", - "log(Z): -2.38354e+01, tol = 2.06733e+01, K = 1, iteration = 598, H = 3.16033e+00\n", - "log(Z): -2.37906e+01, tol = 2.06265e+01, K = 1, iteration = 599, H = 3.16677e+00\n", - "log(Z): -2.37477e+01, tol = 2.05816e+01, K = 1, iteration = 600, H = 3.17086e+00\n", - "log(Z): -2.37055e+01, tol = 2.05374e+01, K = 1, iteration = 601, H = 3.17416e+00\n", - "log(Z): -2.36632e+01, tol = 2.04931e+01, K = 1, iteration = 602, H = 3.17747e+00\n", - "log(Z): -2.36217e+01, tol = 2.04496e+01, K = 1, iteration = 603, H = 3.17989e+00\n", - "log(Z): -2.35789e+01, tol = 2.04048e+01, K = 1, iteration = 604, H = 3.18369e+00\n", - "log(Z): -2.35361e+01, tol = 2.03600e+01, K = 1, iteration = 605, H = 3.18739e+00\n", - "log(Z): -2.34926e+01, tol = 2.03145e+01, K = 1, iteration = 606, H = 3.19178e+00\n", - "log(Z): -2.34498e+01, tol = 2.02697e+01, K = 1, iteration = 607, H = 3.19531e+00\n", - "log(Z): -2.34079e+01, tol = 2.02258e+01, K = 1, iteration = 608, H = 3.19786e+00\n", - "log(Z): -2.33655e+01, tol = 2.01814e+01, K = 1, iteration = 609, H = 3.20088e+00\n", - "log(Z): -2.33242e+01, tol = 2.01381e+01, K = 1, iteration = 610, H = 3.20278e+00\n", - "log(Z): -2.32835e+01, tol = 2.00953e+01, K = 1, iteration = 611, H = 3.20403e+00\n", - "log(Z): -2.32443e+01, tol = 2.00542e+01, K = 1, iteration = 612, H = 3.20373e+00\n", - "log(Z): -2.32057e+01, tol = 2.00135e+01, K = 1, iteration = 613, H = 3.20311e+00\n", - "log(Z): -2.31682e+01, tol = 1.99741e+01, K = 1, iteration = 614, H = 3.20141e+00\n", - "log(Z): -2.31318e+01, tol = 1.99357e+01, K = 1, iteration = 615, H = 3.19884e+00\n", - "log(Z): -2.30961e+01, tol = 1.98980e+01, K = 1, iteration = 616, H = 3.19586e+00\n", - "log(Z): -2.30614e+01, tol = 1.98613e+01, K = 1, iteration = 617, H = 3.19214e+00\n", - "log(Z): -2.30259e+01, tol = 1.98238e+01, K = 1, iteration = 618, H = 3.18928e+00\n", - "log(Z): -2.29912e+01, tol = 1.97871e+01, K = 1, iteration = 619, H = 3.18592e+00\n", - "log(Z): -2.29571e+01, tol = 1.97510e+01, K = 1, iteration = 620, H = 3.18226e+00\n", - "log(Z): -2.29225e+01, tol = 1.97144e+01, K = 1, iteration = 621, H = 3.17916e+00\n", - "log(Z): -2.28887e+01, tol = 1.96786e+01, K = 1, iteration = 622, H = 3.17551e+00\n", - "log(Z): -2.28547e+01, tol = 1.96426e+01, K = 1, iteration = 623, H = 3.17226e+00\n", - "log(Z): -2.28216e+01, tol = 1.96075e+01, K = 1, iteration = 624, H = 3.16838e+00\n", - "log(Z): -2.27891e+01, tol = 1.95730e+01, K = 1, iteration = 625, H = 3.16419e+00\n", - "log(Z): -2.27564e+01, tol = 1.95383e+01, K = 1, iteration = 626, H = 3.16038e+00\n", - "log(Z): -2.27238e+01, tol = 1.95037e+01, K = 1, iteration = 627, H = 3.15661e+00\n", - "log(Z): -2.26919e+01, tol = 1.94698e+01, K = 1, iteration = 628, H = 3.15250e+00\n", - "log(Z): -2.26606e+01, tol = 1.94365e+01, K = 1, iteration = 629, H = 3.14803e+00\n", - "log(Z): -2.26301e+01, tol = 1.94039e+01, K = 1, iteration = 630, H = 3.14312e+00\n", - "log(Z): -2.26004e+01, tol = 1.93723e+01, K = 1, iteration = 631, H = 3.13769e+00\n", - "log(Z): -2.25711e+01, tol = 1.93410e+01, K = 1, iteration = 632, H = 3.13222e+00\n", - "log(Z): -2.25426e+01, tol = 1.93105e+01, K = 1, iteration = 633, H = 3.12629e+00\n", - "log(Z): -2.25149e+01, tol = 1.92808e+01, K = 1, iteration = 634, H = 3.11995e+00\n", - "log(Z): -2.24880e+01, tol = 1.92519e+01, K = 1, iteration = 635, H = 3.11325e+00\n", - "log(Z): -2.24618e+01, tol = 1.92237e+01, K = 1, iteration = 636, H = 3.10633e+00\n", - "log(Z): -2.24351e+01, tol = 1.91950e+01, K = 1, iteration = 637, H = 3.09991e+00\n", - "log(Z): -2.24089e+01, tol = 1.91668e+01, K = 1, iteration = 638, H = 3.09343e+00\n", - "log(Z): -2.23832e+01, tol = 1.91390e+01, K = 1, iteration = 639, H = 3.08677e+00\n", - "log(Z): -2.23577e+01, tol = 1.91116e+01, K = 1, iteration = 640, H = 3.08010e+00\n", - "log(Z): -2.23319e+01, tol = 1.90838e+01, K = 1, iteration = 641, H = 3.07399e+00\n", - "log(Z): -2.23051e+01, tol = 1.90550e+01, K = 1, iteration = 642, H = 3.06878e+00\n", - "log(Z): -2.22781e+01, tol = 1.90259e+01, K = 1, iteration = 643, H = 3.06401e+00\n", - "log(Z): -2.22518e+01, tol = 1.89977e+01, K = 1, iteration = 644, H = 3.05880e+00\n", - "log(Z): -2.22260e+01, tol = 1.89699e+01, K = 1, iteration = 645, H = 3.05335e+00\n", - "log(Z): -2.21996e+01, tol = 1.89415e+01, K = 1, iteration = 646, H = 3.04862e+00\n", - "log(Z): -2.21731e+01, tol = 1.89130e+01, K = 1, iteration = 647, H = 3.04410e+00\n", - "log(Z): -2.21466e+01, tol = 1.88845e+01, K = 1, iteration = 648, H = 3.03977e+00\n", - "log(Z): -2.21206e+01, tol = 1.88565e+01, K = 1, iteration = 649, H = 3.03526e+00\n", - "log(Z): -2.20948e+01, tol = 1.88287e+01, K = 1, iteration = 650, H = 3.03067e+00\n", - "log(Z): -2.20696e+01, tol = 1.88015e+01, K = 1, iteration = 651, H = 3.02577e+00\n", - "log(Z): -2.20442e+01, tol = 1.87741e+01, K = 1, iteration = 652, H = 3.02128e+00\n", - "log(Z): -2.20192e+01, tol = 1.87471e+01, K = 1, iteration = 653, H = 3.01652e+00\n", - "log(Z): -2.19948e+01, tol = 1.87207e+01, K = 1, iteration = 654, H = 3.01149e+00\n", - "log(Z): -2.19708e+01, tol = 1.86947e+01, K = 1, iteration = 655, H = 3.00639e+00\n", - "log(Z): -2.19472e+01, tol = 1.86691e+01, K = 1, iteration = 656, H = 3.00107e+00\n", - "log(Z): -2.19223e+01, tol = 1.86422e+01, K = 1, iteration = 657, H = 2.99696e+00\n", - "log(Z): -2.18977e+01, tol = 1.86156e+01, K = 1, iteration = 658, H = 2.99275e+00\n", - "log(Z): -2.18727e+01, tol = 1.85886e+01, K = 1, iteration = 659, H = 2.98906e+00\n", - "log(Z): -2.18481e+01, tol = 1.85620e+01, K = 1, iteration = 660, H = 2.98520e+00\n", - "log(Z): -2.18240e+01, tol = 1.85359e+01, K = 1, iteration = 661, H = 2.98103e+00\n", - "log(Z): -2.17998e+01, tol = 1.85097e+01, K = 1, iteration = 662, H = 2.97705e+00\n", - "log(Z): -2.17757e+01, tol = 1.84836e+01, K = 1, iteration = 663, H = 2.97317e+00\n", - "log(Z): -2.17519e+01, tol = 1.84578e+01, K = 1, iteration = 664, H = 2.96919e+00\n", - "log(Z): -2.17283e+01, tol = 1.84322e+01, K = 1, iteration = 665, H = 2.96516e+00\n", - "log(Z): -2.17027e+01, tol = 1.84046e+01, K = 1, iteration = 666, H = 2.96302e+00\n", - "log(Z): -2.16776e+01, tol = 1.83775e+01, K = 1, iteration = 667, H = 2.96051e+00\n", - "log(Z): -2.16529e+01, tol = 1.83508e+01, K = 1, iteration = 668, H = 2.95786e+00\n", - "log(Z): -2.16283e+01, tol = 1.83242e+01, K = 1, iteration = 669, H = 2.95516e+00\n", - "log(Z): -2.16041e+01, tol = 1.82980e+01, K = 1, iteration = 670, H = 2.95219e+00\n", - "log(Z): -2.15800e+01, tol = 1.82719e+01, K = 1, iteration = 671, H = 2.94930e+00\n", - "log(Z): -2.15561e+01, tol = 1.82460e+01, K = 1, iteration = 672, H = 2.94630e+00\n", - "log(Z): -2.15319e+01, tol = 1.82197e+01, K = 1, iteration = 673, H = 2.94377e+00\n", - "log(Z): -2.15081e+01, tol = 1.81940e+01, K = 1, iteration = 674, H = 2.94088e+00\n", - "log(Z): -2.14838e+01, tol = 1.81677e+01, K = 1, iteration = 675, H = 2.93858e+00\n", - "log(Z): -2.14592e+01, tol = 1.81411e+01, K = 1, iteration = 676, H = 2.93670e+00\n", - "log(Z): -2.14349e+01, tol = 1.81148e+01, K = 1, iteration = 677, H = 2.93469e+00\n", - "log(Z): -2.14102e+01, tol = 1.80881e+01, K = 1, iteration = 678, H = 2.93306e+00\n", - "log(Z): -2.13860e+01, tol = 1.80619e+01, K = 1, iteration = 679, H = 2.93103e+00\n", - "log(Z): -2.13615e+01, tol = 1.80354e+01, K = 1, iteration = 680, H = 2.92943e+00\n", - "log(Z): -2.13366e+01, tol = 1.80085e+01, K = 1, iteration = 681, H = 2.92831e+00\n", - "log(Z): -2.13112e+01, tol = 1.79811e+01, K = 1, iteration = 682, H = 2.92771e+00\n", - "log(Z): -2.12853e+01, tol = 1.79532e+01, K = 1, iteration = 683, H = 2.92764e+00\n", - "log(Z): -2.12601e+01, tol = 1.79260e+01, K = 1, iteration = 684, H = 2.92696e+00\n", - "log(Z): -2.12340e+01, tol = 1.78979e+01, K = 1, iteration = 685, H = 2.92727e+00\n", - "log(Z): -2.12084e+01, tol = 1.78703e+01, K = 1, iteration = 686, H = 2.92712e+00\n", - "log(Z): -2.11832e+01, tol = 1.78431e+01, K = 1, iteration = 687, H = 2.92655e+00\n", - "log(Z): -2.11566e+01, tol = 1.78145e+01, K = 1, iteration = 688, H = 2.92752e+00\n", - "log(Z): -2.11303e+01, tol = 1.77861e+01, K = 1, iteration = 689, H = 2.92827e+00\n", - "log(Z): -2.11042e+01, tol = 1.77581e+01, K = 1, iteration = 690, H = 2.92875e+00\n", - "log(Z): -2.10754e+01, tol = 1.77273e+01, K = 1, iteration = 691, H = 2.93211e+00\n", - "log(Z): -2.10462e+01, tol = 1.76961e+01, K = 1, iteration = 692, H = 2.93592e+00\n", - "log(Z): -2.10172e+01, tol = 1.76651e+01, K = 1, iteration = 693, H = 2.93941e+00\n", - "log(Z): -2.09889e+01, tol = 1.76348e+01, K = 1, iteration = 694, H = 2.94210e+00\n", - "log(Z): -2.09615e+01, tol = 1.76054e+01, K = 1, iteration = 695, H = 2.94390e+00\n", - "log(Z): -2.09348e+01, tol = 1.75767e+01, K = 1, iteration = 696, H = 2.94492e+00\n", - "log(Z): -2.09085e+01, tol = 1.75483e+01, K = 1, iteration = 697, H = 2.94558e+00\n", - "log(Z): -2.08808e+01, tol = 1.75187e+01, K = 1, iteration = 698, H = 2.94762e+00\n", - "log(Z): -2.08539e+01, tol = 1.74898e+01, K = 1, iteration = 699, H = 2.94892e+00\n", - "log(Z): -2.08269e+01, tol = 1.74608e+01, K = 1, iteration = 700, H = 2.95037e+00\n", - "log(Z): -2.08005e+01, tol = 1.74324e+01, K = 1, iteration = 701, H = 2.95112e+00\n", - "log(Z): -2.07747e+01, tol = 1.74046e+01, K = 1, iteration = 702, H = 2.95138e+00\n", - "log(Z): -2.07488e+01, tol = 1.73767e+01, K = 1, iteration = 703, H = 2.95172e+00\n", - "log(Z): -2.07235e+01, tol = 1.73494e+01, K = 1, iteration = 704, H = 2.95157e+00\n", - "log(Z): -2.06988e+01, tol = 1.73227e+01, K = 1, iteration = 705, H = 2.95086e+00\n", - "log(Z): -2.06744e+01, tol = 1.72963e+01, K = 1, iteration = 706, H = 2.94992e+00\n", - "log(Z): -2.06501e+01, tol = 1.72699e+01, K = 1, iteration = 707, H = 2.94903e+00\n", - "log(Z): -2.06245e+01, tol = 1.72424e+01, K = 1, iteration = 708, H = 2.94935e+00\n", - "log(Z): -2.05996e+01, tol = 1.72154e+01, K = 1, iteration = 709, H = 2.94915e+00\n", - "log(Z): -2.05744e+01, tol = 1.71883e+01, K = 1, iteration = 710, H = 2.94921e+00\n", - "log(Z): -2.05498e+01, tol = 1.71617e+01, K = 1, iteration = 711, H = 2.94875e+00\n", - "log(Z): -2.05257e+01, tol = 1.71356e+01, K = 1, iteration = 712, H = 2.94790e+00\n", - "log(Z): -2.05017e+01, tol = 1.71096e+01, K = 1, iteration = 713, H = 2.94696e+00\n", - "log(Z): -2.04783e+01, tol = 1.70842e+01, K = 1, iteration = 714, H = 2.94558e+00\n", - "log(Z): -2.04553e+01, tol = 1.70592e+01, K = 1, iteration = 715, H = 2.94386e+00\n", - "log(Z): -2.04318e+01, tol = 1.70337e+01, K = 1, iteration = 716, H = 2.94276e+00\n", - "log(Z): -2.04088e+01, tol = 1.70087e+01, K = 1, iteration = 717, H = 2.94119e+00\n", - "log(Z): -2.03862e+01, tol = 1.69841e+01, K = 1, iteration = 718, H = 2.93938e+00\n", - "log(Z): -2.03640e+01, tol = 1.69599e+01, K = 1, iteration = 719, H = 2.93728e+00\n", - "log(Z): -2.03409e+01, tol = 1.69348e+01, K = 1, iteration = 720, H = 2.93611e+00\n", - "log(Z): -2.03166e+01, tol = 1.69085e+01, K = 1, iteration = 721, H = 2.93612e+00\n", - "log(Z): -2.02924e+01, tol = 1.68823e+01, K = 1, iteration = 722, H = 2.93618e+00\n", - "log(Z): -2.02687e+01, tol = 1.68566e+01, K = 1, iteration = 723, H = 2.93574e+00\n", - "log(Z): -2.02455e+01, tol = 1.68314e+01, K = 1, iteration = 724, H = 2.93488e+00\n", - "log(Z): -2.02223e+01, tol = 1.68062e+01, K = 1, iteration = 725, H = 2.93404e+00\n", - "log(Z): -2.01993e+01, tol = 1.67812e+01, K = 1, iteration = 726, H = 2.93316e+00\n", - "log(Z): -2.01751e+01, tol = 1.67550e+01, K = 1, iteration = 727, H = 2.93343e+00\n", - "log(Z): -2.01503e+01, tol = 1.67282e+01, K = 1, iteration = 728, H = 2.93436e+00\n", - "log(Z): -2.01259e+01, tol = 1.67018e+01, K = 1, iteration = 729, H = 2.93502e+00\n", - "log(Z): -2.01016e+01, tol = 1.66755e+01, K = 1, iteration = 730, H = 2.93547e+00\n", - "log(Z): -2.00780e+01, tol = 1.66498e+01, K = 1, iteration = 731, H = 2.93539e+00\n", - "log(Z): -2.00544e+01, tol = 1.66243e+01, K = 1, iteration = 732, H = 2.93528e+00\n", - "log(Z): -2.00312e+01, tol = 1.65991e+01, K = 1, iteration = 733, H = 2.93477e+00\n", - "log(Z): -2.00071e+01, tol = 1.65730e+01, K = 1, iteration = 734, H = 2.93527e+00\n", - "log(Z): -1.99833e+01, tol = 1.65472e+01, K = 1, iteration = 735, H = 2.93551e+00\n", - "log(Z): -1.99600e+01, tol = 1.65219e+01, K = 1, iteration = 736, H = 2.93533e+00\n", - "log(Z): -1.99356e+01, tol = 1.64955e+01, K = 1, iteration = 737, H = 2.93626e+00\n", - "log(Z): -1.99119e+01, tol = 1.64697e+01, K = 1, iteration = 738, H = 2.93659e+00\n", - "log(Z): -1.98884e+01, tol = 1.64443e+01, K = 1, iteration = 739, H = 2.93664e+00\n", - "log(Z): -1.98646e+01, tol = 1.64185e+01, K = 1, iteration = 740, H = 2.93706e+00\n", - "log(Z): -1.98413e+01, tol = 1.63932e+01, K = 1, iteration = 741, H = 2.93706e+00\n", - "log(Z): -1.98175e+01, tol = 1.63674e+01, K = 1, iteration = 742, H = 2.93759e+00\n", - "log(Z): -1.97941e+01, tol = 1.63420e+01, K = 1, iteration = 743, H = 2.93780e+00\n", - "log(Z): -1.97701e+01, tol = 1.63160e+01, K = 1, iteration = 744, H = 2.93859e+00\n", - "log(Z): -1.97461e+01, tol = 1.62900e+01, K = 1, iteration = 745, H = 2.93936e+00\n", - "log(Z): -1.97227e+01, tol = 1.62646e+01, K = 1, iteration = 746, H = 2.93962e+00\n", - "log(Z): -1.96981e+01, tol = 1.62380e+01, K = 1, iteration = 747, H = 2.94123e+00\n", - "log(Z): -1.96713e+01, tol = 1.62092e+01, K = 1, iteration = 748, H = 2.94507e+00\n", - "log(Z): -1.96453e+01, tol = 1.61812e+01, K = 1, iteration = 749, H = 2.94814e+00\n", - "log(Z): -1.96196e+01, tol = 1.61535e+01, K = 1, iteration = 750, H = 2.95075e+00\n", - "log(Z): -1.95946e+01, tol = 1.61265e+01, K = 1, iteration = 751, H = 2.95269e+00\n", - "log(Z): -1.95695e+01, tol = 1.60993e+01, K = 1, iteration = 752, H = 2.95467e+00\n", - "log(Z): -1.95448e+01, tol = 1.60727e+01, K = 1, iteration = 753, H = 2.95623e+00\n", - "log(Z): -1.95206e+01, tol = 1.60465e+01, K = 1, iteration = 754, H = 2.95723e+00\n", - "log(Z): -1.94963e+01, tol = 1.60202e+01, K = 1, iteration = 755, H = 2.95844e+00\n", - "log(Z): -1.94725e+01, tol = 1.59944e+01, K = 1, iteration = 756, H = 2.95912e+00\n", - "log(Z): -1.94484e+01, tol = 1.59683e+01, K = 1, iteration = 757, H = 2.96010e+00\n", - "log(Z): -1.94245e+01, tol = 1.59424e+01, K = 1, iteration = 758, H = 2.96095e+00\n", - "log(Z): -1.94006e+01, tol = 1.59165e+01, K = 1, iteration = 759, H = 2.96186e+00\n", - "log(Z): -1.93771e+01, tol = 1.58910e+01, K = 1, iteration = 760, H = 2.96229e+00\n", - "log(Z): -1.93537e+01, tol = 1.58656e+01, K = 1, iteration = 761, H = 2.96272e+00\n", - "log(Z): -1.93309e+01, tol = 1.58408e+01, K = 1, iteration = 762, H = 2.96261e+00\n", - "log(Z): -1.93077e+01, tol = 1.58156e+01, K = 1, iteration = 763, H = 2.96295e+00\n", - "log(Z): -1.92836e+01, tol = 1.57895e+01, K = 1, iteration = 764, H = 2.96421e+00\n", - "log(Z): -1.92598e+01, tol = 1.57637e+01, K = 1, iteration = 765, H = 2.96511e+00\n", - "log(Z): -1.92363e+01, tol = 1.57382e+01, K = 1, iteration = 766, H = 2.96582e+00\n", - "log(Z): -1.92131e+01, tol = 1.57130e+01, K = 1, iteration = 767, H = 2.96624e+00\n", - "log(Z): -1.91897e+01, tol = 1.56876e+01, K = 1, iteration = 768, H = 2.96687e+00\n", - "log(Z): -1.91662e+01, tol = 1.56621e+01, K = 1, iteration = 769, H = 2.96765e+00\n", - "log(Z): -1.91433e+01, tol = 1.56372e+01, K = 1, iteration = 770, H = 2.96793e+00\n", - "log(Z): -1.91202e+01, tol = 1.56121e+01, K = 1, iteration = 771, H = 2.96838e+00\n", - "log(Z): -1.90969e+01, tol = 1.55868e+01, K = 1, iteration = 772, H = 2.96900e+00\n", - "log(Z): -1.90724e+01, tol = 1.55603e+01, K = 1, iteration = 773, H = 2.97100e+00\n", - "log(Z): -1.90483e+01, tol = 1.55342e+01, K = 1, iteration = 774, H = 2.97257e+00\n", - "log(Z): -1.90244e+01, tol = 1.55083e+01, K = 1, iteration = 775, H = 2.97395e+00\n", - "log(Z): -1.90010e+01, tol = 1.54829e+01, K = 1, iteration = 776, H = 2.97475e+00\n", - "log(Z): -1.89778e+01, tol = 1.54577e+01, K = 1, iteration = 777, H = 2.97540e+00\n", - "log(Z): -1.89542e+01, tol = 1.54321e+01, K = 1, iteration = 778, H = 2.97658e+00\n", - "log(Z): -1.89304e+01, tol = 1.54063e+01, K = 1, iteration = 779, H = 2.97784e+00\n", - "log(Z): -1.89070e+01, tol = 1.53809e+01, K = 1, iteration = 780, H = 2.97884e+00\n", - "log(Z): -1.88841e+01, tol = 1.53560e+01, K = 1, iteration = 781, H = 2.97929e+00\n", - "log(Z): -1.88612e+01, tol = 1.53311e+01, K = 1, iteration = 782, H = 2.97979e+00\n", - "log(Z): -1.88387e+01, tol = 1.53065e+01, K = 1, iteration = 783, H = 2.97995e+00\n", - "log(Z): -1.88163e+01, tol = 1.52822e+01, K = 1, iteration = 784, H = 2.97999e+00\n", - "log(Z): -1.87942e+01, tol = 1.52581e+01, K = 1, iteration = 785, H = 2.97975e+00\n", - "log(Z): -1.87725e+01, tol = 1.52344e+01, K = 1, iteration = 786, H = 2.97921e+00\n", - "log(Z): -1.87512e+01, tol = 1.52111e+01, K = 1, iteration = 787, H = 2.97839e+00\n", - "log(Z): -1.87283e+01, tol = 1.51862e+01, K = 1, iteration = 788, H = 2.97913e+00\n", - "log(Z): -1.87057e+01, tol = 1.51616e+01, K = 1, iteration = 789, H = 2.97970e+00\n", - "log(Z): -1.86835e+01, tol = 1.51374e+01, K = 1, iteration = 790, H = 2.97986e+00\n", - "log(Z): -1.86614e+01, tol = 1.51133e+01, K = 1, iteration = 791, H = 2.97986e+00\n", - "log(Z): -1.86386e+01, tol = 1.50885e+01, K = 1, iteration = 792, H = 2.98074e+00\n", - "log(Z): -1.86159e+01, tol = 1.50638e+01, K = 1, iteration = 793, H = 2.98146e+00\n", - "log(Z): -1.85936e+01, tol = 1.50395e+01, K = 1, iteration = 794, H = 2.98182e+00\n", - "log(Z): -1.85706e+01, tol = 1.50144e+01, K = 1, iteration = 795, H = 2.98302e+00\n", - "log(Z): -1.85475e+01, tol = 1.49894e+01, K = 1, iteration = 796, H = 2.98418e+00\n", - "log(Z): -1.85243e+01, tol = 1.49642e+01, K = 1, iteration = 797, H = 2.98559e+00\n", - "log(Z): -1.85015e+01, tol = 1.49394e+01, K = 1, iteration = 798, H = 2.98658e+00\n", - "log(Z): -1.84790e+01, tol = 1.49149e+01, K = 1, iteration = 799, H = 2.98724e+00\n", - "log(Z): -1.84555e+01, tol = 1.48894e+01, K = 1, iteration = 800, H = 2.98902e+00\n", - "log(Z): -1.84325e+01, tol = 1.48644e+01, K = 1, iteration = 801, H = 2.99022e+00\n", - "log(Z): -1.84096e+01, tol = 1.48395e+01, K = 1, iteration = 802, H = 2.99141e+00\n", - "log(Z): -1.83857e+01, tol = 1.48136e+01, K = 1, iteration = 803, H = 2.99364e+00\n", - "log(Z): -1.83620e+01, tol = 1.47879e+01, K = 1, iteration = 804, H = 2.99566e+00\n", - "log(Z): -1.83388e+01, tol = 1.47627e+01, K = 1, iteration = 805, H = 2.99710e+00\n", - "log(Z): -1.83160e+01, tol = 1.47379e+01, K = 1, iteration = 806, H = 2.99816e+00\n", - "log(Z): -1.82930e+01, tol = 1.47129e+01, K = 1, iteration = 807, H = 2.99942e+00\n", - "log(Z): -1.82703e+01, tol = 1.46882e+01, K = 1, iteration = 808, H = 3.00047e+00\n", - "log(Z): -1.82477e+01, tol = 1.46636e+01, K = 1, iteration = 809, H = 3.00138e+00\n", - "log(Z): -1.82257e+01, tol = 1.46395e+01, K = 1, iteration = 810, H = 3.00178e+00\n", - "log(Z): -1.82041e+01, tol = 1.46160e+01, K = 1, iteration = 811, H = 3.00170e+00\n", - "log(Z): -1.81812e+01, tol = 1.45911e+01, K = 1, iteration = 812, H = 3.00301e+00\n", - "log(Z): -1.81585e+01, tol = 1.45664e+01, K = 1, iteration = 813, H = 3.00415e+00\n", - "log(Z): -1.81355e+01, tol = 1.45414e+01, K = 1, iteration = 814, H = 3.00566e+00\n", - "log(Z): -1.81128e+01, tol = 1.45167e+01, K = 1, iteration = 815, H = 3.00688e+00\n", - "log(Z): -1.80898e+01, tol = 1.44917e+01, K = 1, iteration = 816, H = 3.00831e+00\n", - "log(Z): -1.80672e+01, tol = 1.44670e+01, K = 1, iteration = 817, H = 3.00952e+00\n", - "log(Z): -1.80449e+01, tol = 1.44428e+01, K = 1, iteration = 818, H = 3.01028e+00\n", - "log(Z): -1.80229e+01, tol = 1.44188e+01, K = 1, iteration = 819, H = 3.01085e+00\n", - "log(Z): -1.80001e+01, tol = 1.43940e+01, K = 1, iteration = 820, H = 3.01224e+00\n", - "log(Z): -1.79778e+01, tol = 1.43697e+01, K = 1, iteration = 821, H = 3.01307e+00\n", - "log(Z): -1.79560e+01, tol = 1.43459e+01, K = 1, iteration = 822, H = 3.01350e+00\n", - "log(Z): -1.79343e+01, tol = 1.43222e+01, K = 1, iteration = 823, H = 3.01382e+00\n", - "log(Z): -1.79129e+01, tol = 1.42988e+01, K = 1, iteration = 824, H = 3.01390e+00\n", - "log(Z): -1.78914e+01, tol = 1.42753e+01, K = 1, iteration = 825, H = 3.01416e+00\n", - "log(Z): -1.78702e+01, tol = 1.42521e+01, K = 1, iteration = 826, H = 3.01402e+00\n", - "log(Z): -1.78495e+01, tol = 1.42294e+01, K = 1, iteration = 827, H = 3.01358e+00\n", - "log(Z): -1.78278e+01, tol = 1.42057e+01, K = 1, iteration = 828, H = 3.01410e+00\n", - "log(Z): -1.78065e+01, tol = 1.41824e+01, K = 1, iteration = 829, H = 3.01426e+00\n", - "log(Z): -1.77854e+01, tol = 1.41593e+01, K = 1, iteration = 830, H = 3.01433e+00\n", - "log(Z): -1.77646e+01, tol = 1.41365e+01, K = 1, iteration = 831, H = 3.01411e+00\n", - "log(Z): -1.77424e+01, tol = 1.41123e+01, K = 1, iteration = 832, H = 3.01527e+00\n", - "log(Z): -1.77206e+01, tol = 1.40885e+01, K = 1, iteration = 833, H = 3.01615e+00\n", - "log(Z): -1.76992e+01, tol = 1.40651e+01, K = 1, iteration = 834, H = 3.01658e+00\n", - "log(Z): -1.76779e+01, tol = 1.40418e+01, K = 1, iteration = 835, H = 3.01693e+00\n", - "log(Z): -1.76570e+01, tol = 1.40189e+01, K = 1, iteration = 836, H = 3.01697e+00\n", - "log(Z): -1.76364e+01, tol = 1.39963e+01, K = 1, iteration = 837, H = 3.01670e+00\n", - "log(Z): -1.76157e+01, tol = 1.39736e+01, K = 1, iteration = 838, H = 3.01659e+00\n", - "log(Z): -1.75954e+01, tol = 1.39513e+01, K = 1, iteration = 839, H = 3.01620e+00\n", - "log(Z): -1.75753e+01, tol = 1.39292e+01, K = 1, iteration = 840, H = 3.01563e+00\n", - "log(Z): -1.75552e+01, tol = 1.39071e+01, K = 1, iteration = 841, H = 3.01509e+00\n", - "log(Z): -1.75354e+01, tol = 1.38853e+01, K = 1, iteration = 842, H = 3.01428e+00\n", - "log(Z): -1.75160e+01, tol = 1.38639e+01, K = 1, iteration = 843, H = 3.01316e+00\n", - "log(Z): -1.74966e+01, tol = 1.38425e+01, K = 1, iteration = 844, H = 3.01219e+00\n", - "log(Z): -1.74764e+01, tol = 1.38202e+01, K = 1, iteration = 845, H = 3.01198e+00\n", - "log(Z): -1.74563e+01, tol = 1.37982e+01, K = 1, iteration = 846, H = 3.01170e+00\n", - "log(Z): -1.74366e+01, tol = 1.37765e+01, K = 1, iteration = 847, H = 3.01108e+00\n", - "log(Z): -1.74173e+01, tol = 1.37552e+01, K = 1, iteration = 848, H = 3.01013e+00\n", - "log(Z): -1.73982e+01, tol = 1.37341e+01, K = 1, iteration = 849, H = 3.00906e+00\n", - "log(Z): -1.73790e+01, tol = 1.37129e+01, K = 1, iteration = 850, H = 3.00813e+00\n", - "log(Z): -1.73601e+01, tol = 1.36920e+01, K = 1, iteration = 851, H = 3.00697e+00\n", - "log(Z): -1.73415e+01, tol = 1.36714e+01, K = 1, iteration = 852, H = 3.00560e+00\n", - "log(Z): -1.73230e+01, tol = 1.36509e+01, K = 1, iteration = 853, H = 3.00425e+00\n", - "log(Z): -1.73044e+01, tol = 1.36303e+01, K = 1, iteration = 854, H = 3.00300e+00\n", - "log(Z): -1.72846e+01, tol = 1.36085e+01, K = 1, iteration = 855, H = 3.00300e+00\n", - "log(Z): -1.72650e+01, tol = 1.35869e+01, K = 1, iteration = 856, H = 3.00281e+00\n", - "log(Z): -1.72455e+01, tol = 1.35654e+01, K = 1, iteration = 857, H = 3.00255e+00\n", - "log(Z): -1.72263e+01, tol = 1.35442e+01, K = 1, iteration = 858, H = 3.00200e+00\n", - "log(Z): -1.72071e+01, tol = 1.35230e+01, K = 1, iteration = 859, H = 3.00160e+00\n", - "log(Z): -1.71876e+01, tol = 1.35015e+01, K = 1, iteration = 860, H = 3.00151e+00\n", - "log(Z): -1.71681e+01, tol = 1.34800e+01, K = 1, iteration = 861, H = 3.00144e+00\n", - "log(Z): -1.71486e+01, tol = 1.34585e+01, K = 1, iteration = 862, H = 3.00138e+00\n", - "log(Z): -1.71289e+01, tol = 1.34368e+01, K = 1, iteration = 863, H = 3.00161e+00\n", - "log(Z): -1.71095e+01, tol = 1.34154e+01, K = 1, iteration = 864, H = 3.00156e+00\n", - "log(Z): -1.70905e+01, tol = 1.33944e+01, K = 1, iteration = 865, H = 3.00118e+00\n", - "log(Z): -1.70717e+01, tol = 1.33736e+01, K = 1, iteration = 866, H = 3.00064e+00\n", - "log(Z): -1.70529e+01, tol = 1.33528e+01, K = 1, iteration = 867, H = 3.00010e+00\n", - "log(Z): -1.70345e+01, tol = 1.33324e+01, K = 1, iteration = 868, H = 2.99925e+00\n", - "log(Z): -1.70159e+01, tol = 1.33117e+01, K = 1, iteration = 869, H = 2.99874e+00\n", - "log(Z): -1.69974e+01, tol = 1.32913e+01, K = 1, iteration = 870, H = 2.99801e+00\n", - "log(Z): -1.69794e+01, tol = 1.32712e+01, K = 1, iteration = 871, H = 2.99702e+00\n", - "log(Z): -1.69614e+01, tol = 1.32513e+01, K = 1, iteration = 872, H = 2.99598e+00\n", - "log(Z): -1.69435e+01, tol = 1.32314e+01, K = 1, iteration = 873, H = 2.99488e+00\n", - "log(Z): -1.69260e+01, tol = 1.32119e+01, K = 1, iteration = 874, H = 2.99353e+00\n", - "log(Z): -1.69088e+01, tol = 1.31927e+01, K = 1, iteration = 875, H = 2.99195e+00\n", - "log(Z): -1.68918e+01, tol = 1.31737e+01, K = 1, iteration = 876, H = 2.99030e+00\n", - "log(Z): -1.68748e+01, tol = 1.31547e+01, K = 1, iteration = 877, H = 2.98859e+00\n", - "log(Z): -1.68578e+01, tol = 1.31357e+01, K = 1, iteration = 878, H = 2.98701e+00\n", - "log(Z): -1.68407e+01, tol = 1.31166e+01, K = 1, iteration = 879, H = 2.98563e+00\n", - "log(Z): -1.68238e+01, tol = 1.30977e+01, K = 1, iteration = 880, H = 2.98408e+00\n", - "log(Z): -1.68071e+01, tol = 1.30790e+01, K = 1, iteration = 881, H = 2.98244e+00\n", - "log(Z): -1.67903e+01, tol = 1.30602e+01, K = 1, iteration = 882, H = 2.98090e+00\n", - "log(Z): -1.67734e+01, tol = 1.30413e+01, K = 1, iteration = 883, H = 2.97949e+00\n", - "log(Z): -1.67569e+01, tol = 1.30228e+01, K = 1, iteration = 884, H = 2.97788e+00\n", - "log(Z): -1.67405e+01, tol = 1.30044e+01, K = 1, iteration = 885, H = 2.97613e+00\n", - "log(Z): -1.67244e+01, tol = 1.29863e+01, K = 1, iteration = 886, H = 2.97419e+00\n", - "log(Z): -1.67080e+01, tol = 1.29679e+01, K = 1, iteration = 887, H = 2.97264e+00\n", - "log(Z): -1.66918e+01, tol = 1.29497e+01, K = 1, iteration = 888, H = 2.97092e+00\n", - "log(Z): -1.66759e+01, tol = 1.29318e+01, K = 1, iteration = 889, H = 2.96904e+00\n", - "log(Z): -1.66594e+01, tol = 1.29133e+01, K = 1, iteration = 890, H = 2.96773e+00\n", - "log(Z): -1.66432e+01, tol = 1.28951e+01, K = 1, iteration = 891, H = 2.96625e+00\n", - "log(Z): -1.66271e+01, tol = 1.28770e+01, K = 1, iteration = 892, H = 2.96465e+00\n", - "log(Z): -1.66112e+01, tol = 1.28591e+01, K = 1, iteration = 893, H = 2.96297e+00\n", - "log(Z): -1.65955e+01, tol = 1.28414e+01, K = 1, iteration = 894, H = 2.96115e+00\n", - "log(Z): -1.65800e+01, tol = 1.28238e+01, K = 1, iteration = 895, H = 2.95930e+00\n", - "log(Z): -1.65646e+01, tol = 1.28065e+01, K = 1, iteration = 896, H = 2.95735e+00\n", - "log(Z): -1.65492e+01, tol = 1.27891e+01, K = 1, iteration = 897, H = 2.95544e+00\n", - "log(Z): -1.65335e+01, tol = 1.27714e+01, K = 1, iteration = 898, H = 2.95386e+00\n", - "log(Z): -1.65174e+01, tol = 1.27533e+01, K = 1, iteration = 899, H = 2.95275e+00\n", - "log(Z): -1.65013e+01, tol = 1.27352e+01, K = 1, iteration = 900, H = 2.95161e+00\n", - "log(Z): -1.64854e+01, tol = 1.27173e+01, K = 1, iteration = 901, H = 2.95043e+00\n", - "log(Z): -1.64697e+01, tol = 1.26996e+01, K = 1, iteration = 902, H = 2.94911e+00\n", - "log(Z): -1.64540e+01, tol = 1.26819e+01, K = 1, iteration = 903, H = 2.94777e+00\n", - "log(Z): -1.64377e+01, tol = 1.26636e+01, K = 1, iteration = 904, H = 2.94709e+00\n", - "log(Z): -1.64217e+01, tol = 1.26456e+01, K = 1, iteration = 905, H = 2.94619e+00\n", - "log(Z): -1.64054e+01, tol = 1.26273e+01, K = 1, iteration = 906, H = 2.94555e+00\n", - "log(Z): -1.63894e+01, tol = 1.26093e+01, K = 1, iteration = 907, H = 2.94471e+00\n", - "log(Z): -1.63731e+01, tol = 1.25910e+01, K = 1, iteration = 908, H = 2.94417e+00\n", - "log(Z): -1.63569e+01, tol = 1.25728e+01, K = 1, iteration = 909, H = 2.94365e+00\n", - "log(Z): -1.63405e+01, tol = 1.25544e+01, K = 1, iteration = 910, H = 2.94332e+00\n", - "log(Z): -1.63243e+01, tol = 1.25362e+01, K = 1, iteration = 911, H = 2.94283e+00\n", - "log(Z): -1.63083e+01, tol = 1.25182e+01, K = 1, iteration = 912, H = 2.94216e+00\n", - "log(Z): -1.62926e+01, tol = 1.25005e+01, K = 1, iteration = 913, H = 2.94131e+00\n", - "log(Z): -1.62767e+01, tol = 1.24826e+01, K = 1, iteration = 914, H = 2.94059e+00\n", - "log(Z): -1.62605e+01, tol = 1.24643e+01, K = 1, iteration = 915, H = 2.94036e+00\n", - "log(Z): -1.62440e+01, tol = 1.24459e+01, K = 1, iteration = 916, H = 2.94034e+00\n", - "log(Z): -1.62278e+01, tol = 1.24277e+01, K = 1, iteration = 917, H = 2.94010e+00\n", - "log(Z): -1.62118e+01, tol = 1.24097e+01, K = 1, iteration = 918, H = 2.93966e+00\n", - "log(Z): -1.61959e+01, tol = 1.23918e+01, K = 1, iteration = 919, H = 2.93917e+00\n", - "log(Z): -1.61801e+01, tol = 1.23740e+01, K = 1, iteration = 920, H = 2.93872e+00\n", - "log(Z): -1.61644e+01, tol = 1.23563e+01, K = 1, iteration = 921, H = 2.93808e+00\n", - "log(Z): -1.61490e+01, tol = 1.23389e+01, K = 1, iteration = 922, H = 2.93727e+00\n", - "log(Z): -1.61339e+01, tol = 1.23218e+01, K = 1, iteration = 923, H = 2.93626e+00\n", - "log(Z): -1.61187e+01, tol = 1.23046e+01, K = 1, iteration = 924, H = 2.93527e+00\n", - "log(Z): -1.61039e+01, tol = 1.22878e+01, K = 1, iteration = 925, H = 2.93409e+00\n", - "log(Z): -1.60890e+01, tol = 1.22709e+01, K = 1, iteration = 926, H = 2.93296e+00\n", - "log(Z): -1.60742e+01, tol = 1.22541e+01, K = 1, iteration = 927, H = 2.93182e+00\n", - "log(Z): -1.60592e+01, tol = 1.22371e+01, K = 1, iteration = 928, H = 2.93088e+00\n", - "log(Z): -1.60444e+01, tol = 1.22203e+01, K = 1, iteration = 929, H = 2.92982e+00\n", - "log(Z): -1.60298e+01, tol = 1.22037e+01, K = 1, iteration = 930, H = 2.92863e+00\n", - "log(Z): -1.60152e+01, tol = 1.21871e+01, K = 1, iteration = 931, H = 2.92748e+00\n", - "log(Z): -1.60008e+01, tol = 1.21707e+01, K = 1, iteration = 932, H = 2.92615e+00\n", - "log(Z): -1.59866e+01, tol = 1.21545e+01, K = 1, iteration = 933, H = 2.92477e+00\n", - "log(Z): -1.59723e+01, tol = 1.21382e+01, K = 1, iteration = 934, H = 2.92342e+00\n", - "log(Z): -1.59578e+01, tol = 1.21217e+01, K = 1, iteration = 935, H = 2.92235e+00\n", - "log(Z): -1.59434e+01, tol = 1.21053e+01, K = 1, iteration = 936, H = 2.92128e+00\n", - "log(Z): -1.59291e+01, tol = 1.20890e+01, K = 1, iteration = 937, H = 2.92014e+00\n", - "log(Z): -1.59149e+01, tol = 1.20728e+01, K = 1, iteration = 938, H = 2.91895e+00\n", - "log(Z): -1.59009e+01, tol = 1.20568e+01, K = 1, iteration = 939, H = 2.91763e+00\n", - "log(Z): -1.58868e+01, tol = 1.20407e+01, K = 1, iteration = 940, H = 2.91639e+00\n", - "log(Z): -1.58729e+01, tol = 1.20248e+01, K = 1, iteration = 941, H = 2.91503e+00\n", - "log(Z): -1.58593e+01, tol = 1.20092e+01, K = 1, iteration = 942, H = 2.91353e+00\n", - "log(Z): -1.58456e+01, tol = 1.19935e+01, K = 1, iteration = 943, H = 2.91210e+00\n", - "log(Z): -1.58320e+01, tol = 1.19779e+01, K = 1, iteration = 944, H = 2.91064e+00\n", - "log(Z): -1.58184e+01, tol = 1.19623e+01, K = 1, iteration = 945, H = 2.90921e+00\n", - "log(Z): -1.58047e+01, tol = 1.19466e+01, K = 1, iteration = 946, H = 2.90790e+00\n", - "log(Z): -1.57910e+01, tol = 1.19309e+01, K = 1, iteration = 947, H = 2.90668e+00\n", - "log(Z): -1.57775e+01, tol = 1.19154e+01, K = 1, iteration = 948, H = 2.90536e+00\n", - "log(Z): -1.57641e+01, tol = 1.19000e+01, K = 1, iteration = 949, H = 2.90395e+00\n", - "log(Z): -1.57508e+01, tol = 1.18847e+01, K = 1, iteration = 950, H = 2.90243e+00\n", - "log(Z): -1.57375e+01, tol = 1.18694e+01, K = 1, iteration = 951, H = 2.90103e+00\n", - "log(Z): -1.57243e+01, tol = 1.18542e+01, K = 1, iteration = 952, H = 2.89963e+00\n", - "log(Z): -1.57111e+01, tol = 1.18390e+01, K = 1, iteration = 953, H = 2.89817e+00\n", - "log(Z): -1.56981e+01, tol = 1.18240e+01, K = 1, iteration = 954, H = 2.89665e+00\n", - "log(Z): -1.56851e+01, tol = 1.18090e+01, K = 1, iteration = 955, H = 2.89512e+00\n", - "log(Z): -1.56723e+01, tol = 1.17942e+01, K = 1, iteration = 956, H = 2.89356e+00\n", - "log(Z): -1.56593e+01, tol = 1.17792e+01, K = 1, iteration = 957, H = 2.89208e+00\n", - "log(Z): -1.56463e+01, tol = 1.17642e+01, K = 1, iteration = 958, H = 2.89074e+00\n", - "log(Z): -1.56334e+01, tol = 1.17493e+01, K = 1, iteration = 959, H = 2.88937e+00\n", - "log(Z): -1.56200e+01, tol = 1.17339e+01, K = 1, iteration = 960, H = 2.88841e+00\n", - "log(Z): -1.56069e+01, tol = 1.17188e+01, K = 1, iteration = 961, H = 2.88733e+00\n", - "log(Z): -1.55939e+01, tol = 1.17038e+01, K = 1, iteration = 962, H = 2.88612e+00\n", - "log(Z): -1.55810e+01, tol = 1.16889e+01, K = 1, iteration = 963, H = 2.88483e+00\n", - "log(Z): -1.55682e+01, tol = 1.16741e+01, K = 1, iteration = 964, H = 2.88355e+00\n", - "log(Z): -1.55555e+01, tol = 1.16594e+01, K = 1, iteration = 965, H = 2.88226e+00\n", - "log(Z): -1.55424e+01, tol = 1.16443e+01, K = 1, iteration = 966, H = 2.88126e+00\n", - "log(Z): -1.55290e+01, tol = 1.16289e+01, K = 1, iteration = 967, H = 2.88071e+00\n", - "log(Z): -1.55156e+01, tol = 1.16135e+01, K = 1, iteration = 968, H = 2.88008e+00\n", - "log(Z): -1.55023e+01, tol = 1.15982e+01, K = 1, iteration = 969, H = 2.87949e+00\n", - "log(Z): -1.54891e+01, tol = 1.15830e+01, K = 1, iteration = 970, H = 2.87874e+00\n", - "log(Z): -1.54760e+01, tol = 1.15679e+01, K = 1, iteration = 971, H = 2.87800e+00\n", - "log(Z): -1.54630e+01, tol = 1.15529e+01, K = 1, iteration = 972, H = 2.87722e+00\n", - "log(Z): -1.54500e+01, tol = 1.15379e+01, K = 1, iteration = 973, H = 2.87638e+00\n", - "log(Z): -1.54372e+01, tol = 1.15231e+01, K = 1, iteration = 974, H = 2.87547e+00\n", - "log(Z): -1.54245e+01, tol = 1.15084e+01, K = 1, iteration = 975, H = 2.87448e+00\n", - "log(Z): -1.54118e+01, tol = 1.14937e+01, K = 1, iteration = 976, H = 2.87359e+00\n", - "log(Z): -1.53991e+01, tol = 1.14790e+01, K = 1, iteration = 977, H = 2.87260e+00\n", - "log(Z): -1.53866e+01, tol = 1.14645e+01, K = 1, iteration = 978, H = 2.87155e+00\n", - "log(Z): -1.53740e+01, tol = 1.14499e+01, K = 1, iteration = 979, H = 2.87065e+00\n", - "log(Z): -1.53614e+01, tol = 1.14354e+01, K = 1, iteration = 980, H = 2.86971e+00\n", - "log(Z): -1.53490e+01, tol = 1.14209e+01, K = 1, iteration = 981, H = 2.86868e+00\n", - "log(Z): -1.53367e+01, tol = 1.14066e+01, K = 1, iteration = 982, H = 2.86765e+00\n", - "log(Z): -1.53244e+01, tol = 1.13923e+01, K = 1, iteration = 983, H = 2.86662e+00\n", - "log(Z): -1.53121e+01, tol = 1.13780e+01, K = 1, iteration = 984, H = 2.86552e+00\n", - "log(Z): -1.52997e+01, tol = 1.13636e+01, K = 1, iteration = 985, H = 2.86465e+00\n", - "log(Z): -1.52874e+01, tol = 1.13493e+01, K = 1, iteration = 986, H = 2.86372e+00\n", - "log(Z): -1.52752e+01, tol = 1.13351e+01, K = 1, iteration = 987, H = 2.86271e+00\n", - "log(Z): -1.52630e+01, tol = 1.13209e+01, K = 1, iteration = 988, H = 2.86178e+00\n", - "log(Z): -1.52506e+01, tol = 1.13065e+01, K = 1, iteration = 989, H = 2.86103e+00\n", - "log(Z): -1.52382e+01, tol = 1.12921e+01, K = 1, iteration = 990, H = 2.86027e+00\n", - "log(Z): -1.52260e+01, tol = 1.12779e+01, K = 1, iteration = 991, H = 2.85942e+00\n", - "log(Z): -1.52139e+01, tol = 1.12638e+01, K = 1, iteration = 992, H = 2.85854e+00\n", - "log(Z): -1.52013e+01, tol = 1.12492e+01, K = 1, iteration = 993, H = 2.85810e+00\n", - "log(Z): -1.51889e+01, tol = 1.12348e+01, K = 1, iteration = 994, H = 2.85756e+00\n", - "log(Z): -1.51762e+01, tol = 1.12201e+01, K = 1, iteration = 995, H = 2.85733e+00\n", - "log(Z): -1.51636e+01, tol = 1.12055e+01, K = 1, iteration = 996, H = 2.85699e+00\n", - "log(Z): -1.51506e+01, tol = 1.11905e+01, K = 1, iteration = 997, H = 2.85702e+00\n", - "log(Z): -1.51377e+01, tol = 1.11756e+01, K = 1, iteration = 998, H = 2.85707e+00\n", - "log(Z): -1.51250e+01, tol = 1.11609e+01, K = 1, iteration = 999, H = 2.85697e+00\n", - "log(Z): -1.51122e+01, tol = 1.11461e+01, K = 1, iteration = 1000, H = 2.85697e+00\n", - "log(Z): -1.50994e+01, tol = 1.11313e+01, K = 1, iteration = 1001, H = 2.85694e+00\n", - "log(Z): -1.50866e+01, tol = 1.11165e+01, K = 1, iteration = 1002, H = 2.85700e+00\n", - "log(Z): -1.50739e+01, tol = 1.11018e+01, K = 1, iteration = 1003, H = 2.85696e+00\n", - "log(Z): -1.50613e+01, tol = 1.10872e+01, K = 1, iteration = 1004, H = 2.85677e+00\n", - "log(Z): -1.50489e+01, tol = 1.10728e+01, K = 1, iteration = 1005, H = 2.85647e+00\n", - "log(Z): -1.50366e+01, tol = 1.10585e+01, K = 1, iteration = 1006, H = 2.85617e+00\n", - "log(Z): -1.50244e+01, tol = 1.10443e+01, K = 1, iteration = 1007, H = 2.85574e+00\n", - "log(Z): -1.50124e+01, tol = 1.10303e+01, K = 1, iteration = 1008, H = 2.85517e+00\n", - "log(Z): -1.50003e+01, tol = 1.10162e+01, K = 1, iteration = 1009, H = 2.85469e+00\n", - "log(Z): -1.49883e+01, tol = 1.10023e+01, K = 1, iteration = 1010, H = 2.85412e+00\n", - "log(Z): -1.49760e+01, tol = 1.09880e+01, K = 1, iteration = 1011, H = 2.85392e+00\n", - "log(Z): -1.49638e+01, tol = 1.09737e+01, K = 1, iteration = 1012, H = 2.85370e+00\n", - "log(Z): -1.49517e+01, tol = 1.09596e+01, K = 1, iteration = 1013, H = 2.85339e+00\n", - "log(Z): -1.49397e+01, tol = 1.09456e+01, K = 1, iteration = 1014, H = 2.85297e+00\n", - "log(Z): -1.49277e+01, tol = 1.09316e+01, K = 1, iteration = 1015, H = 2.85258e+00\n", - "log(Z): -1.49158e+01, tol = 1.09177e+01, K = 1, iteration = 1016, H = 2.85209e+00\n", - "log(Z): -1.49039e+01, tol = 1.09038e+01, K = 1, iteration = 1017, H = 2.85167e+00\n", - "log(Z): -1.48921e+01, tol = 1.08900e+01, K = 1, iteration = 1018, H = 2.85116e+00\n", - "log(Z): -1.48804e+01, tol = 1.08763e+01, K = 1, iteration = 1019, H = 2.85063e+00\n", - "log(Z): -1.48687e+01, tol = 1.08626e+01, K = 1, iteration = 1020, H = 2.85014e+00\n", - "log(Z): -1.48571e+01, tol = 1.08490e+01, K = 1, iteration = 1021, H = 2.84955e+00\n", - "log(Z): -1.48456e+01, tol = 1.08355e+01, K = 1, iteration = 1022, H = 2.84887e+00\n", - "log(Z): -1.48340e+01, tol = 1.08219e+01, K = 1, iteration = 1023, H = 2.84834e+00\n", - "log(Z): -1.48224e+01, tol = 1.08083e+01, K = 1, iteration = 1024, H = 2.84787e+00\n", - "log(Z): -1.48107e+01, tol = 1.07947e+01, K = 1, iteration = 1025, H = 2.84740e+00\n", - "log(Z): -1.47992e+01, tol = 1.07811e+01, K = 1, iteration = 1026, H = 2.84694e+00\n", - "log(Z): -1.47877e+01, tol = 1.07676e+01, K = 1, iteration = 1027, H = 2.84639e+00\n", - "log(Z): -1.47760e+01, tol = 1.07539e+01, K = 1, iteration = 1028, H = 2.84612e+00\n", - "log(Z): -1.47643e+01, tol = 1.07402e+01, K = 1, iteration = 1029, H = 2.84585e+00\n", - "log(Z): -1.47524e+01, tol = 1.07263e+01, K = 1, iteration = 1030, H = 2.84577e+00\n", - "log(Z): -1.47405e+01, tol = 1.07124e+01, K = 1, iteration = 1031, H = 2.84576e+00\n", - "log(Z): -1.47287e+01, tol = 1.06986e+01, K = 1, iteration = 1032, H = 2.84567e+00\n", - "log(Z): -1.47169e+01, tol = 1.06848e+01, K = 1, iteration = 1033, H = 2.84567e+00\n", - "log(Z): -1.47050e+01, tol = 1.06709e+01, K = 1, iteration = 1034, H = 2.84566e+00\n", - "log(Z): -1.46933e+01, tol = 1.06572e+01, K = 1, iteration = 1035, H = 2.84554e+00\n", - "log(Z): -1.46815e+01, tol = 1.06434e+01, K = 1, iteration = 1036, H = 2.84557e+00\n", - "log(Z): -1.46697e+01, tol = 1.06296e+01, K = 1, iteration = 1037, H = 2.84564e+00\n", - "log(Z): -1.46576e+01, tol = 1.06155e+01, K = 1, iteration = 1038, H = 2.84596e+00\n", - "log(Z): -1.46455e+01, tol = 1.06015e+01, K = 1, iteration = 1039, H = 2.84628e+00\n", - "log(Z): -1.46336e+01, tol = 1.05875e+01, K = 1, iteration = 1040, H = 2.84653e+00\n", - "log(Z): -1.46218e+01, tol = 1.05737e+01, K = 1, iteration = 1041, H = 2.84666e+00\n", - "log(Z): -1.46100e+01, tol = 1.05599e+01, K = 1, iteration = 1042, H = 2.84675e+00\n", - "log(Z): -1.45982e+01, tol = 1.05461e+01, K = 1, iteration = 1043, H = 2.84691e+00\n", - "log(Z): -1.45865e+01, tol = 1.05324e+01, K = 1, iteration = 1044, H = 2.84698e+00\n", - "log(Z): -1.45748e+01, tol = 1.05187e+01, K = 1, iteration = 1045, H = 2.84707e+00\n", - "log(Z): -1.45629e+01, tol = 1.05048e+01, K = 1, iteration = 1046, H = 2.84743e+00\n", - "log(Z): -1.45504e+01, tol = 1.04903e+01, K = 1, iteration = 1047, H = 2.84841e+00\n", - "log(Z): -1.45379e+01, tol = 1.04758e+01, K = 1, iteration = 1048, H = 2.84937e+00\n", - "log(Z): -1.45255e+01, tol = 1.04614e+01, K = 1, iteration = 1049, H = 2.85030e+00\n", - "log(Z): -1.45129e+01, tol = 1.04468e+01, K = 1, iteration = 1050, H = 2.85134e+00\n", - "log(Z): -1.45005e+01, tol = 1.04324e+01, K = 1, iteration = 1051, H = 2.85228e+00\n", - "log(Z): -1.44882e+01, tol = 1.04181e+01, K = 1, iteration = 1052, H = 2.85311e+00\n", - "log(Z): -1.44761e+01, tol = 1.04040e+01, K = 1, iteration = 1053, H = 2.85377e+00\n", - "log(Z): -1.44641e+01, tol = 1.03900e+01, K = 1, iteration = 1054, H = 2.85428e+00\n", - "log(Z): -1.44522e+01, tol = 1.03762e+01, K = 1, iteration = 1055, H = 2.85467e+00\n", - "log(Z): -1.44405e+01, tol = 1.03624e+01, K = 1, iteration = 1056, H = 2.85497e+00\n", - "log(Z): -1.44287e+01, tol = 1.03486e+01, K = 1, iteration = 1057, H = 2.85538e+00\n", - "log(Z): -1.44170e+01, tol = 1.03349e+01, K = 1, iteration = 1058, H = 2.85569e+00\n", - "log(Z): -1.44053e+01, tol = 1.03213e+01, K = 1, iteration = 1059, H = 2.85595e+00\n", - "log(Z): -1.43937e+01, tol = 1.03076e+01, K = 1, iteration = 1060, H = 2.85628e+00\n", - "log(Z): -1.43820e+01, tol = 1.02940e+01, K = 1, iteration = 1061, H = 2.85655e+00\n", - "log(Z): -1.43702e+01, tol = 1.02801e+01, K = 1, iteration = 1062, H = 2.85709e+00\n", - "log(Z): -1.43582e+01, tol = 1.02661e+01, K = 1, iteration = 1063, H = 2.85784e+00\n", - "log(Z): -1.43457e+01, tol = 1.02516e+01, K = 1, iteration = 1064, H = 2.85907e+00\n", - "log(Z): -1.43332e+01, tol = 1.02371e+01, K = 1, iteration = 1065, H = 2.86035e+00\n", - "log(Z): -1.43207e+01, tol = 1.02226e+01, K = 1, iteration = 1066, H = 2.86163e+00\n", - "log(Z): -1.43083e+01, tol = 1.02082e+01, K = 1, iteration = 1067, H = 2.86277e+00\n", - "log(Z): -1.42960e+01, tol = 1.01939e+01, K = 1, iteration = 1068, H = 2.86387e+00\n", - "log(Z): -1.42838e+01, tol = 1.01798e+01, K = 1, iteration = 1069, H = 2.86483e+00\n", - "log(Z): -1.42718e+01, tol = 1.01658e+01, K = 1, iteration = 1070, H = 2.86563e+00\n", - "log(Z): -1.42598e+01, tol = 1.01518e+01, K = 1, iteration = 1071, H = 2.86640e+00\n", - "log(Z): -1.42480e+01, tol = 1.01379e+01, K = 1, iteration = 1072, H = 2.86705e+00\n", - "log(Z): -1.42363e+01, tol = 1.01242e+01, K = 1, iteration = 1073, H = 2.86759e+00\n", - "log(Z): -1.42245e+01, tol = 1.02201e+01, K = 1, iteration = 1074, H = 2.86820e+00\n", - "log(Z): -1.42128e+01, tol = 1.02064e+01, K = 1, iteration = 1075, H = 2.86879e+00\n", - "log(Z): -1.42011e+01, tol = 1.01927e+01, K = 1, iteration = 1076, H = 2.86936e+00\n", - "log(Z): -1.41893e+01, tol = 1.01789e+01, K = 1, iteration = 1077, H = 2.87004e+00\n", - "log(Z): -1.41775e+01, tol = 1.01651e+01, K = 1, iteration = 1078, H = 2.87072e+00\n", - "log(Z): -1.41655e+01, tol = 1.01511e+01, K = 1, iteration = 1079, H = 2.87166e+00\n", - "log(Z): -1.41535e+01, tol = 1.01371e+01, K = 1, iteration = 1080, H = 2.87261e+00\n", - "log(Z): -1.41416e+01, tol = 1.01232e+01, K = 1, iteration = 1081, H = 2.87349e+00\n", - "log(Z): -1.41298e+01, tol = 1.01094e+01, K = 1, iteration = 1082, H = 2.87421e+00\n", - "log(Z): -1.41181e+01, tol = 1.00957e+01, K = 1, iteration = 1083, H = 2.87486e+00\n", - "log(Z): -1.41064e+01, tol = 1.00820e+01, K = 1, iteration = 1084, H = 2.87554e+00\n", - "log(Z): -1.40948e+01, tol = 1.00685e+01, K = 1, iteration = 1085, H = 2.87611e+00\n", - "log(Z): -1.40833e+01, tol = 1.00549e+01, K = 1, iteration = 1086, H = 2.87667e+00\n", - "log(Z): -1.40716e+01, tol = 1.00412e+01, K = 1, iteration = 1087, H = 2.87740e+00\n", - "log(Z): -1.40599e+01, tol = 1.00275e+01, K = 1, iteration = 1088, H = 2.87811e+00\n", - "log(Z): -1.40482e+01, tol = 1.00139e+01, K = 1, iteration = 1089, H = 2.87886e+00\n", - "log(Z): -1.40362e+01, tol = 9.99981e+00, K = 1, iteration = 1090, H = 2.88001e+00\n", - "log(Z): -1.40243e+01, tol = 9.98590e+00, K = 1, iteration = 1091, H = 2.88101e+00\n", - "log(Z): -1.40124e+01, tol = 9.97205e+00, K = 1, iteration = 1092, H = 2.88198e+00\n", - "log(Z): -1.40007e+01, tol = 9.95830e+00, K = 1, iteration = 1093, H = 2.88283e+00\n", - "log(Z): -1.39889e+01, tol = 9.94455e+00, K = 1, iteration = 1094, H = 2.88372e+00\n", - "log(Z): -1.39773e+01, tol = 9.93093e+00, K = 1, iteration = 1095, H = 2.88446e+00\n", - "log(Z): -1.39658e+01, tol = 9.91742e+00, K = 1, iteration = 1096, H = 2.88511e+00\n", - "log(Z): -1.39540e+01, tol = 9.90364e+00, K = 1, iteration = 1097, H = 2.88607e+00\n", - "log(Z): -1.39419e+01, tol = 9.88959e+00, K = 1, iteration = 1098, H = 2.88732e+00\n", - "log(Z): -1.39298e+01, tol = 9.87541e+00, K = 1, iteration = 1099, H = 2.88873e+00\n", - "log(Z): -1.39176e+01, tol = 9.86125e+00, K = 1, iteration = 1100, H = 2.89012e+00\n", - "log(Z): -1.39054e+01, tol = 9.84709e+00, K = 1, iteration = 1101, H = 2.89153e+00\n", - "log(Z): -1.38934e+01, tol = 9.83306e+00, K = 1, iteration = 1102, H = 2.89279e+00\n", - "log(Z): -1.38815e+01, tol = 9.81919e+00, K = 1, iteration = 1103, H = 2.89388e+00\n", - "log(Z): -1.38695e+01, tol = 9.80518e+00, K = 1, iteration = 1104, H = 2.89515e+00\n", - "log(Z): -1.38576e+01, tol = 9.79127e+00, K = 1, iteration = 1105, H = 2.89631e+00\n", - "log(Z): -1.38458e+01, tol = 9.77746e+00, K = 1, iteration = 1106, H = 2.89738e+00\n", - "log(Z): -1.38338e+01, tol = 9.76342e+00, K = 1, iteration = 1107, H = 2.89870e+00\n", - "log(Z): -1.38218e+01, tol = 9.74951e+00, K = 1, iteration = 1108, H = 2.89989e+00\n", - "log(Z): -1.38098e+01, tol = 9.73549e+00, K = 1, iteration = 1109, H = 2.90121e+00\n", - "log(Z): -1.37980e+01, tol = 9.72163e+00, K = 1, iteration = 1110, H = 2.90236e+00\n", - "log(Z): -1.37862e+01, tol = 9.70789e+00, K = 1, iteration = 1111, H = 2.90340e+00\n", - "log(Z): -1.37746e+01, tol = 9.69430e+00, K = 1, iteration = 1112, H = 2.90428e+00\n", - "log(Z): -1.37630e+01, tol = 9.68066e+00, K = 1, iteration = 1113, H = 2.90523e+00\n", - "log(Z): -1.37514e+01, tol = 9.66707e+00, K = 1, iteration = 1114, H = 2.90614e+00\n", - "log(Z): -1.37398e+01, tol = 9.65347e+00, K = 1, iteration = 1115, H = 2.90707e+00\n", - "log(Z): -1.37283e+01, tol = 9.63997e+00, K = 1, iteration = 1116, H = 2.90791e+00\n", - "log(Z): -1.37169e+01, tol = 9.62661e+00, K = 1, iteration = 1117, H = 2.90861e+00\n", - "log(Z): -1.37056e+01, tol = 9.61330e+00, K = 1, iteration = 1118, H = 2.90928e+00\n", - "log(Z): -1.36944e+01, tol = 9.60012e+00, K = 1, iteration = 1119, H = 2.90982e+00\n", - "log(Z): -1.36833e+01, tol = 9.58692e+00, K = 1, iteration = 1120, H = 2.91039e+00\n", - "log(Z): -1.36720e+01, tol = 9.57371e+00, K = 1, iteration = 1121, H = 2.91100e+00\n", - "log(Z): -1.36609e+01, tol = 9.56059e+00, K = 1, iteration = 1122, H = 2.91153e+00\n", - "log(Z): -1.36498e+01, tol = 9.54748e+00, K = 1, iteration = 1123, H = 2.91206e+00\n", - "log(Z): -1.36388e+01, tol = 9.53447e+00, K = 1, iteration = 1124, H = 2.91251e+00\n", - "log(Z): -1.36279e+01, tol = 9.52156e+00, K = 1, iteration = 1125, H = 2.91287e+00\n", - "log(Z): -1.36169e+01, tol = 9.50861e+00, K = 1, iteration = 1126, H = 2.91328e+00\n", - "log(Z): -1.36060e+01, tol = 9.49569e+00, K = 1, iteration = 1127, H = 2.91369e+00\n", - "log(Z): -1.35951e+01, tol = 9.48280e+00, K = 1, iteration = 1128, H = 2.91408e+00\n", - "log(Z): -1.35842e+01, tol = 9.46992e+00, K = 1, iteration = 1129, H = 2.91448e+00\n", - "log(Z): -1.35734e+01, tol = 9.45711e+00, K = 1, iteration = 1130, H = 2.91483e+00\n", - "log(Z): -1.35623e+01, tol = 9.44394e+00, K = 1, iteration = 1131, H = 2.91556e+00\n", - "log(Z): -1.35508e+01, tol = 9.43053e+00, K = 1, iteration = 1132, H = 2.91657e+00\n", - "log(Z): -1.35395e+01, tol = 9.41723e+00, K = 1, iteration = 1133, H = 2.91748e+00\n", - "log(Z): -1.35284e+01, tol = 9.40404e+00, K = 1, iteration = 1134, H = 2.91827e+00\n", - "log(Z): -1.35172e+01, tol = 9.39086e+00, K = 1, iteration = 1135, H = 2.91906e+00\n", - "log(Z): -1.35060e+01, tol = 9.37770e+00, K = 1, iteration = 1136, H = 2.91985e+00\n", - "log(Z): -1.34946e+01, tol = 9.36428e+00, K = 1, iteration = 1137, H = 2.92094e+00\n", - "log(Z): -1.34832e+01, tol = 9.35087e+00, K = 1, iteration = 1138, H = 2.92202e+00\n", - "log(Z): -1.34718e+01, tol = 9.33751e+00, K = 1, iteration = 1139, H = 2.92306e+00\n", - "log(Z): -1.34605e+01, tol = 9.32420e+00, K = 1, iteration = 1140, H = 2.92406e+00\n", - "log(Z): -1.34493e+01, tol = 9.31103e+00, K = 1, iteration = 1141, H = 2.92492e+00\n", - "log(Z): -1.34383e+01, tol = 9.29796e+00, K = 1, iteration = 1142, H = 2.92568e+00\n", - "log(Z): -1.34273e+01, tol = 9.28501e+00, K = 1, iteration = 1143, H = 2.92633e+00\n", - "log(Z): -1.34164e+01, tol = 9.27209e+00, K = 1, iteration = 1144, H = 2.92696e+00\n", - "log(Z): -1.34056e+01, tol = 9.25929e+00, K = 1, iteration = 1145, H = 2.92748e+00\n", - "log(Z): -1.33947e+01, tol = 9.24643e+00, K = 1, iteration = 1146, H = 2.92808e+00\n", - "log(Z): -1.33839e+01, tol = 9.23360e+00, K = 1, iteration = 1147, H = 2.92867e+00\n", - "log(Z): -1.33731e+01, tol = 9.22082e+00, K = 1, iteration = 1148, H = 2.92922e+00\n", - "log(Z): -1.33624e+01, tol = 9.20808e+00, K = 1, iteration = 1149, H = 2.92973e+00\n", - "log(Z): -1.33518e+01, tol = 9.19546e+00, K = 1, iteration = 1150, H = 2.93015e+00\n", - "log(Z): -1.33412e+01, tol = 9.18286e+00, K = 1, iteration = 1151, H = 2.93055e+00\n", - "log(Z): -1.33307e+01, tol = 9.17037e+00, K = 1, iteration = 1152, H = 2.93087e+00\n", - "log(Z): -1.33203e+01, tol = 9.15798e+00, K = 1, iteration = 1153, H = 2.93109e+00\n", - "log(Z): -1.33100e+01, tol = 9.14568e+00, K = 1, iteration = 1154, H = 2.93125e+00\n", - "log(Z): -1.32998e+01, tol = 9.13349e+00, K = 1, iteration = 1155, H = 2.93131e+00\n", - "log(Z): -1.32896e+01, tol = 9.12136e+00, K = 1, iteration = 1156, H = 2.93133e+00\n", - "log(Z): -1.32796e+01, tol = 9.10931e+00, K = 1, iteration = 1157, H = 2.93129e+00\n", - "log(Z): -1.32696e+01, tol = 9.09736e+00, K = 1, iteration = 1158, H = 2.93117e+00\n", - "log(Z): -1.32598e+01, tol = 9.08551e+00, K = 1, iteration = 1159, H = 2.93098e+00\n", - "log(Z): -1.32498e+01, tol = 9.07350e+00, K = 1, iteration = 1160, H = 2.93096e+00\n", - "log(Z): -1.32398e+01, tol = 9.06154e+00, K = 1, iteration = 1161, H = 2.93093e+00\n", - "log(Z): -1.32299e+01, tol = 9.04960e+00, K = 1, iteration = 1162, H = 2.93088e+00\n", - "log(Z): -1.32200e+01, tol = 9.03768e+00, K = 1, iteration = 1163, H = 2.93083e+00\n", - "log(Z): -1.32101e+01, tol = 9.02584e+00, K = 1, iteration = 1164, H = 2.93074e+00\n", - "log(Z): -1.32004e+01, tol = 9.01409e+00, K = 1, iteration = 1165, H = 2.93057e+00\n", - "log(Z): -1.31907e+01, tol = 9.00242e+00, K = 1, iteration = 1166, H = 2.93034e+00\n", - "log(Z): -1.31810e+01, tol = 8.99071e+00, K = 1, iteration = 1167, H = 2.93017e+00\n", - "log(Z): -1.31714e+01, tol = 8.97908e+00, K = 1, iteration = 1168, H = 2.92995e+00\n", - "log(Z): -1.31618e+01, tol = 8.96753e+00, K = 1, iteration = 1169, H = 2.92967e+00\n", - "log(Z): -1.31522e+01, tol = 8.95594e+00, K = 1, iteration = 1170, H = 2.92945e+00\n", - "log(Z): -1.31427e+01, tol = 8.94440e+00, K = 1, iteration = 1171, H = 2.92921e+00\n", - "log(Z): -1.31332e+01, tol = 8.93296e+00, K = 1, iteration = 1172, H = 2.92889e+00\n", - "log(Z): -1.31238e+01, tol = 8.92153e+00, K = 1, iteration = 1173, H = 2.92858e+00\n", - "log(Z): -1.31143e+01, tol = 8.91007e+00, K = 1, iteration = 1174, H = 2.92832e+00\n", - "log(Z): -1.31049e+01, tol = 8.89865e+00, K = 1, iteration = 1175, H = 2.92804e+00\n", - "log(Z): -1.30956e+01, tol = 8.88729e+00, K = 1, iteration = 1176, H = 2.92772e+00\n", - "log(Z): -1.30863e+01, tol = 8.87600e+00, K = 1, iteration = 1177, H = 2.92737e+00\n", - "log(Z): -1.30769e+01, tol = 8.86468e+00, K = 1, iteration = 1178, H = 2.92706e+00\n", - "log(Z): -1.30677e+01, tol = 8.85344e+00, K = 1, iteration = 1179, H = 2.92669e+00\n", - "log(Z): -1.30585e+01, tol = 8.84226e+00, K = 1, iteration = 1180, H = 2.92630e+00\n", - "log(Z): -1.30494e+01, tol = 8.83117e+00, K = 1, iteration = 1181, H = 2.92583e+00\n", - "log(Z): -1.30404e+01, tol = 8.82016e+00, K = 1, iteration = 1182, H = 2.92532e+00\n", - "log(Z): -1.30313e+01, tol = 8.80905e+00, K = 1, iteration = 1183, H = 2.92492e+00\n", - "log(Z): -1.30222e+01, tol = 8.79800e+00, K = 1, iteration = 1184, H = 2.92449e+00\n", - "log(Z): -1.30132e+01, tol = 8.78695e+00, K = 1, iteration = 1185, H = 2.92408e+00\n", - "log(Z): -1.30041e+01, tol = 8.77586e+00, K = 1, iteration = 1186, H = 2.92373e+00\n", - "log(Z): -1.29951e+01, tol = 8.76484e+00, K = 1, iteration = 1187, H = 2.92333e+00\n", - "log(Z): -1.29859e+01, tol = 8.75362e+00, K = 1, iteration = 1188, H = 2.92314e+00\n", - "log(Z): -1.29767e+01, tol = 8.74244e+00, K = 1, iteration = 1189, H = 2.92294e+00\n", - "log(Z): -1.29673e+01, tol = 8.73107e+00, K = 1, iteration = 1190, H = 2.92294e+00\n", - "log(Z): -1.29580e+01, tol = 8.71972e+00, K = 1, iteration = 1191, H = 2.92295e+00\n", - "log(Z): -1.29486e+01, tol = 8.70840e+00, K = 1, iteration = 1192, H = 2.92294e+00\n", - "log(Z): -1.29392e+01, tol = 8.69692e+00, K = 1, iteration = 1193, H = 2.92311e+00\n", - "log(Z): -1.29295e+01, tol = 8.68531e+00, K = 1, iteration = 1194, H = 2.92344e+00\n", - "log(Z): -1.29198e+01, tol = 8.67357e+00, K = 1, iteration = 1195, H = 2.92392e+00\n", - "log(Z): -1.29101e+01, tol = 8.66189e+00, K = 1, iteration = 1196, H = 2.92434e+00\n", - "log(Z): -1.29005e+01, tol = 8.65032e+00, K = 1, iteration = 1197, H = 2.92467e+00\n", - "log(Z): -1.28909e+01, tol = 8.63867e+00, K = 1, iteration = 1198, H = 2.92509e+00\n", - "log(Z): -1.28813e+01, tol = 8.62712e+00, K = 1, iteration = 1199, H = 2.92543e+00\n", - "log(Z): -1.28719e+01, tol = 8.61567e+00, K = 1, iteration = 1200, H = 2.92568e+00\n", - "log(Z): -1.28625e+01, tol = 8.60429e+00, K = 1, iteration = 1201, H = 2.92588e+00\n", - "log(Z): -1.28531e+01, tol = 8.59284e+00, K = 1, iteration = 1202, H = 2.92616e+00\n", - "log(Z): -1.28437e+01, tol = 8.58147e+00, K = 1, iteration = 1203, H = 2.92638e+00\n", - "log(Z): -1.28343e+01, tol = 8.57006e+00, K = 1, iteration = 1204, H = 2.92666e+00\n", - "log(Z): -1.28248e+01, tol = 8.55856e+00, K = 1, iteration = 1205, H = 2.92704e+00\n", - "log(Z): -1.28151e+01, tol = 8.54690e+00, K = 1, iteration = 1206, H = 2.92761e+00\n", - "log(Z): -1.28054e+01, tol = 8.53521e+00, K = 1, iteration = 1207, H = 2.92822e+00\n", - "log(Z): -1.27956e+01, tol = 8.52339e+00, K = 1, iteration = 1208, H = 2.92899e+00\n", - "log(Z): -1.27857e+01, tol = 8.51154e+00, K = 1, iteration = 1209, H = 2.92980e+00\n", - "log(Z): -1.27760e+01, tol = 8.49981e+00, K = 1, iteration = 1210, H = 2.93049e+00\n", - "log(Z): -1.27664e+01, tol = 8.48817e+00, K = 1, iteration = 1211, H = 2.93110e+00\n", - "log(Z): -1.27568e+01, tol = 8.47658e+00, K = 1, iteration = 1212, H = 2.93167e+00\n", - "log(Z): -1.27471e+01, tol = 8.46494e+00, K = 1, iteration = 1213, H = 2.93231e+00\n", - "log(Z): -1.27374e+01, tol = 8.45320e+00, K = 1, iteration = 1214, H = 2.93306e+00\n", - "log(Z): -1.27277e+01, tol = 8.44154e+00, K = 1, iteration = 1215, H = 2.93375e+00\n", - "log(Z): -1.27181e+01, tol = 8.42996e+00, K = 1, iteration = 1216, H = 2.93436e+00\n", - "log(Z): -1.27086e+01, tol = 8.41843e+00, K = 1, iteration = 1217, H = 2.93493e+00\n", - "log(Z): -1.26991e+01, tol = 8.40694e+00, K = 1, iteration = 1218, H = 2.93547e+00\n", - "log(Z): -1.26896e+01, tol = 8.39541e+00, K = 1, iteration = 1219, H = 2.93607e+00\n", - "log(Z): -1.26791e+01, tol = 8.38297e+00, K = 1, iteration = 1220, H = 2.93769e+00\n", - "log(Z): -1.26687e+01, tol = 8.37055e+00, K = 1, iteration = 1221, H = 2.93928e+00\n", - "log(Z): -1.26584e+01, tol = 8.35822e+00, K = 1, iteration = 1222, H = 2.94079e+00\n", - "log(Z): -1.26481e+01, tol = 8.34591e+00, K = 1, iteration = 1223, H = 2.94227e+00\n", - "log(Z): -1.26379e+01, tol = 8.33369e+00, K = 1, iteration = 1224, H = 2.94365e+00\n", - "log(Z): -1.26277e+01, tol = 8.32157e+00, K = 1, iteration = 1225, H = 2.94493e+00\n", - "log(Z): -1.26175e+01, tol = 8.30936e+00, K = 1, iteration = 1226, H = 2.94632e+00\n", - "log(Z): -1.26073e+01, tol = 8.29718e+00, K = 1, iteration = 1227, H = 2.94768e+00\n", - "log(Z): -1.25972e+01, tol = 8.28507e+00, K = 1, iteration = 1228, H = 2.94897e+00\n", - "log(Z): -1.25872e+01, tol = 8.27303e+00, K = 1, iteration = 1229, H = 2.95018e+00\n", - "log(Z): -1.25771e+01, tol = 8.26100e+00, K = 1, iteration = 1230, H = 2.95139e+00\n", - "log(Z): -1.25672e+01, tol = 8.24902e+00, K = 1, iteration = 1231, H = 2.95257e+00\n", - "log(Z): -1.25571e+01, tol = 8.23698e+00, K = 1, iteration = 1232, H = 2.95380e+00\n", - "log(Z): -1.25470e+01, tol = 8.22482e+00, K = 1, iteration = 1233, H = 2.95518e+00\n", - "log(Z): -1.25368e+01, tol = 8.21266e+00, K = 1, iteration = 1234, H = 2.95658e+00\n", - "log(Z): -1.25265e+01, tol = 8.20037e+00, K = 1, iteration = 1235, H = 2.95812e+00\n", - "log(Z): -1.25163e+01, tol = 8.18817e+00, K = 1, iteration = 1236, H = 2.95957e+00\n", - "log(Z): -1.25060e+01, tol = 8.17593e+00, K = 1, iteration = 1237, H = 2.96106e+00\n", - "log(Z): -1.24959e+01, tol = 8.25488e+00, K = 1, iteration = 1238, H = 2.96246e+00\n", - "log(Z): -1.24856e+01, tol = 8.24256e+00, K = 1, iteration = 1239, H = 2.96406e+00\n", - "log(Z): -1.24753e+01, tol = 8.23026e+00, K = 1, iteration = 1240, H = 2.96564e+00\n", - "log(Z): -1.24650e+01, tol = 8.21797e+00, K = 1, iteration = 1241, H = 2.96721e+00\n", - "log(Z): -1.24548e+01, tol = 8.20579e+00, K = 1, iteration = 1242, H = 2.96867e+00\n", - "log(Z): -1.24447e+01, tol = 8.19369e+00, K = 1, iteration = 1243, H = 2.97003e+00\n", - "log(Z): -1.24345e+01, tol = 8.18152e+00, K = 1, iteration = 1244, H = 2.97149e+00\n", - "log(Z): -1.24245e+01, tol = 8.16946e+00, K = 1, iteration = 1245, H = 2.97282e+00\n", - "log(Z): -1.24145e+01, tol = 8.15747e+00, K = 1, iteration = 1246, H = 2.97409e+00\n", - "log(Z): -1.24045e+01, tol = 8.14546e+00, K = 1, iteration = 1247, H = 2.97537e+00\n", - "log(Z): -1.23945e+01, tol = 8.13352e+00, K = 1, iteration = 1248, H = 2.97660e+00\n", - "log(Z): -1.23846e+01, tol = 8.12162e+00, K = 1, iteration = 1249, H = 2.97778e+00\n", - "log(Z): -1.23747e+01, tol = 8.10977e+00, K = 1, iteration = 1250, H = 2.97892e+00\n", - "log(Z): -1.23648e+01, tol = 8.09787e+00, K = 1, iteration = 1251, H = 2.98012e+00\n", - "log(Z): -1.23550e+01, tol = 8.08601e+00, K = 1, iteration = 1252, H = 2.98128e+00\n", - "log(Z): -1.23451e+01, tol = 8.07418e+00, K = 1, iteration = 1253, H = 2.98242e+00\n", - "log(Z): -1.23354e+01, tol = 8.06240e+00, K = 1, iteration = 1254, H = 2.98351e+00\n", - "log(Z): -1.23256e+01, tol = 8.05064e+00, K = 1, iteration = 1255, H = 2.98459e+00\n", - "log(Z): -1.23158e+01, tol = 8.03882e+00, K = 1, iteration = 1256, H = 2.98575e+00\n", - "log(Z): -1.23060e+01, tol = 8.02704e+00, K = 1, iteration = 1257, H = 2.98687e+00\n", - "log(Z): -1.22963e+01, tol = 8.01536e+00, K = 1, iteration = 1258, H = 2.98788e+00\n", - "log(Z): -1.22867e+01, tol = 8.00379e+00, K = 1, iteration = 1259, H = 2.98879e+00\n", - "log(Z): -1.22772e+01, tol = 7.99225e+00, K = 1, iteration = 1260, H = 2.98967e+00\n", - "log(Z): -1.22674e+01, tol = 7.98050e+00, K = 1, iteration = 1261, H = 2.99080e+00\n", - "log(Z): -1.22575e+01, tol = 7.96862e+00, K = 1, iteration = 1262, H = 2.99207e+00\n", - "log(Z): -1.22475e+01, tol = 7.95661e+00, K = 1, iteration = 1263, H = 2.99350e+00\n", - "log(Z): -1.22375e+01, tol = 7.94459e+00, K = 1, iteration = 1264, H = 2.99495e+00\n", - "log(Z): -1.22275e+01, tol = 7.93254e+00, K = 1, iteration = 1265, H = 2.99644e+00\n", - "log(Z): -1.22175e+01, tol = 7.92057e+00, K = 1, iteration = 1266, H = 2.99785e+00\n", - "log(Z): -1.22076e+01, tol = 7.90865e+00, K = 1, iteration = 1267, H = 2.99920e+00\n", - "log(Z): -1.21974e+01, tol = 7.89654e+00, K = 1, iteration = 1268, H = 3.00077e+00\n", - "log(Z): -1.21874e+01, tol = 7.88449e+00, K = 1, iteration = 1269, H = 3.00228e+00\n", - "log(Z): -1.21774e+01, tol = 7.87247e+00, K = 1, iteration = 1270, H = 3.00377e+00\n", - "log(Z): -1.21673e+01, tol = 7.86045e+00, K = 1, iteration = 1271, H = 3.00525e+00\n", - "log(Z): -1.21574e+01, tol = 7.84854e+00, K = 1, iteration = 1272, H = 3.00663e+00\n", - "log(Z): -1.21476e+01, tol = 7.83671e+00, K = 1, iteration = 1273, H = 3.00791e+00\n", - "log(Z): -1.21378e+01, tol = 7.82493e+00, K = 1, iteration = 1274, H = 3.00914e+00\n", - "log(Z): -1.21281e+01, tol = 7.81325e+00, K = 1, iteration = 1275, H = 3.01028e+00\n", - "log(Z): -1.21184e+01, tol = 7.80156e+00, K = 1, iteration = 1276, H = 3.01142e+00\n", - "log(Z): -1.21088e+01, tol = 7.78994e+00, K = 1, iteration = 1277, H = 3.01250e+00\n", - "log(Z): -1.20992e+01, tol = 7.77835e+00, K = 1, iteration = 1278, H = 3.01355e+00\n", - "log(Z): -1.20897e+01, tol = 7.76687e+00, K = 1, iteration = 1279, H = 3.01450e+00\n", - "log(Z): -1.20803e+01, tol = 7.75541e+00, K = 1, iteration = 1280, H = 3.01543e+00\n", - "log(Z): -1.20709e+01, tol = 7.74402e+00, K = 1, iteration = 1281, H = 3.01630e+00\n", - "log(Z): -1.20613e+01, tol = 7.73249e+00, K = 1, iteration = 1282, H = 3.01733e+00\n", - "log(Z): -1.20516e+01, tol = 7.72079e+00, K = 1, iteration = 1283, H = 3.01856e+00\n", - "log(Z): -1.20420e+01, tol = 7.70912e+00, K = 1, iteration = 1284, H = 3.01976e+00\n", - "log(Z): -1.20324e+01, tol = 7.69755e+00, K = 1, iteration = 1285, H = 3.02086e+00\n", - "log(Z): -1.20229e+01, tol = 7.68609e+00, K = 1, iteration = 1286, H = 3.02185e+00\n", - "log(Z): -1.20135e+01, tol = 7.67467e+00, K = 1, iteration = 1287, H = 3.02279e+00\n", - "log(Z): -1.20040e+01, tol = 7.66324e+00, K = 1, iteration = 1288, H = 3.02377e+00\n", - "log(Z): -1.19946e+01, tol = 7.65178e+00, K = 1, iteration = 1289, H = 3.02478e+00\n", - "log(Z): -1.19852e+01, tol = 7.64039e+00, K = 1, iteration = 1290, H = 3.02573e+00\n", - "log(Z): -1.19759e+01, tol = 7.62908e+00, K = 1, iteration = 1291, H = 3.02660e+00\n", - "log(Z): -1.19666e+01, tol = 7.61785e+00, K = 1, iteration = 1292, H = 3.02739e+00\n", - "log(Z): -1.19575e+01, tol = 7.60672e+00, K = 1, iteration = 1293, H = 3.02809e+00\n", - "log(Z): -1.19484e+01, tol = 7.59566e+00, K = 1, iteration = 1294, H = 3.02873e+00\n", - "log(Z): -1.19395e+01, tol = 7.58468e+00, K = 1, iteration = 1295, H = 3.02928e+00\n", - "log(Z): -1.19305e+01, tol = 7.57371e+00, K = 1, iteration = 1296, H = 3.02985e+00\n", - "log(Z): -1.19214e+01, tol = 7.56266e+00, K = 1, iteration = 1297, H = 3.03051e+00\n", - "log(Z): -1.19124e+01, tol = 7.55169e+00, K = 1, iteration = 1298, H = 3.03110e+00\n", - "log(Z): -1.19035e+01, tol = 7.54079e+00, K = 1, iteration = 1299, H = 3.03163e+00\n", - "log(Z): -1.18947e+01, tol = 7.52997e+00, K = 1, iteration = 1300, H = 3.03208e+00\n", - "log(Z): -1.18859e+01, tol = 7.51921e+00, K = 1, iteration = 1301, H = 3.03248e+00\n", - "log(Z): -1.18772e+01, tol = 7.50848e+00, K = 1, iteration = 1302, H = 3.03288e+00\n", - "log(Z): -1.18685e+01, tol = 7.49777e+00, K = 1, iteration = 1303, H = 3.03326e+00\n", - "log(Z): -1.18598e+01, tol = 7.48706e+00, K = 1, iteration = 1304, H = 3.03366e+00\n", - "log(Z): -1.18511e+01, tol = 7.47639e+00, K = 1, iteration = 1305, H = 3.03402e+00\n", - "log(Z): -1.18425e+01, tol = 7.46576e+00, K = 1, iteration = 1306, H = 3.03436e+00\n", - "log(Z): -1.18339e+01, tol = 7.45520e+00, K = 1, iteration = 1307, H = 3.03466e+00\n", - "log(Z): -1.18254e+01, tol = 7.44467e+00, K = 1, iteration = 1308, H = 3.03492e+00\n", - "log(Z): -1.18169e+01, tol = 7.43421e+00, K = 1, iteration = 1309, H = 3.03513e+00\n", - "log(Z): -1.18083e+01, tol = 7.42364e+00, K = 1, iteration = 1310, H = 3.03548e+00\n", - "log(Z): -1.17998e+01, tol = 7.41311e+00, K = 1, iteration = 1311, H = 3.03578e+00\n", - "log(Z): -1.17913e+01, tol = 7.40261e+00, K = 1, iteration = 1312, H = 3.03608e+00\n", - "log(Z): -1.17828e+01, tol = 7.39217e+00, K = 1, iteration = 1313, H = 3.03633e+00\n", - "log(Z): -1.17745e+01, tol = 7.38180e+00, K = 1, iteration = 1314, H = 3.03652e+00\n", - "log(Z): -1.17658e+01, tol = 7.37118e+00, K = 1, iteration = 1315, H = 3.03698e+00\n", - "log(Z): -1.17573e+01, tol = 7.36065e+00, K = 1, iteration = 1316, H = 3.03737e+00\n", - "log(Z): -1.17488e+01, tol = 7.35012e+00, K = 1, iteration = 1317, H = 3.03777e+00\n", - "log(Z): -1.17402e+01, tol = 7.33957e+00, K = 1, iteration = 1318, H = 3.03820e+00\n", - "log(Z): -1.17317e+01, tol = 7.32912e+00, K = 1, iteration = 1319, H = 3.03855e+00\n", - "log(Z): -1.17233e+01, tol = 7.31872e+00, K = 1, iteration = 1320, H = 3.03884e+00\n", - "log(Z): -1.17150e+01, tol = 7.30839e+00, K = 1, iteration = 1321, H = 3.03909e+00\n", - "log(Z): -1.17067e+01, tol = 7.29809e+00, K = 1, iteration = 1322, H = 3.03932e+00\n", - "log(Z): -1.16984e+01, tol = 7.28780e+00, K = 1, iteration = 1323, H = 3.03956e+00\n", - "log(Z): -1.16902e+01, tol = 7.27757e+00, K = 1, iteration = 1324, H = 3.03974e+00\n", - "log(Z): -1.16819e+01, tol = 7.26728e+00, K = 1, iteration = 1325, H = 3.04001e+00\n", - "log(Z): -1.16736e+01, tol = 7.25701e+00, K = 1, iteration = 1326, H = 3.04027e+00\n", - "log(Z): -1.16654e+01, tol = 7.24680e+00, K = 1, iteration = 1327, H = 3.04048e+00\n", - "log(Z): -1.16572e+01, tol = 7.23666e+00, K = 1, iteration = 1328, H = 3.04063e+00\n", - "log(Z): -1.16491e+01, tol = 7.22660e+00, K = 1, iteration = 1329, H = 3.04073e+00\n", - "log(Z): -1.16411e+01, tol = 7.21658e+00, K = 1, iteration = 1330, H = 3.04078e+00\n", - "log(Z): -1.16331e+01, tol = 7.20654e+00, K = 1, iteration = 1331, H = 3.04089e+00\n", - "log(Z): -1.16251e+01, tol = 7.19654e+00, K = 1, iteration = 1332, H = 3.04096e+00\n", - "log(Z): -1.16171e+01, tol = 7.18655e+00, K = 1, iteration = 1333, H = 3.04104e+00\n", - "log(Z): -1.16091e+01, tol = 7.17656e+00, K = 1, iteration = 1334, H = 3.04113e+00\n", - "log(Z): -1.16011e+01, tol = 7.16663e+00, K = 1, iteration = 1335, H = 3.04119e+00\n", - "log(Z): -1.15932e+01, tol = 7.15671e+00, K = 1, iteration = 1336, H = 3.04124e+00\n", - "log(Z): -1.15853e+01, tol = 7.14685e+00, K = 1, iteration = 1337, H = 3.04125e+00\n", - "log(Z): -1.15775e+01, tol = 7.13703e+00, K = 1, iteration = 1338, H = 3.04124e+00\n", - "log(Z): -1.15697e+01, tol = 7.12720e+00, K = 1, iteration = 1339, H = 3.04125e+00\n", - "log(Z): -1.15619e+01, tol = 7.11744e+00, K = 1, iteration = 1340, H = 3.04121e+00\n", - "log(Z): -1.15542e+01, tol = 7.10772e+00, K = 1, iteration = 1341, H = 3.04114e+00\n", - "log(Z): -1.15465e+01, tol = 7.09803e+00, K = 1, iteration = 1342, H = 3.04107e+00\n", - "log(Z): -1.15387e+01, tol = 7.08830e+00, K = 1, iteration = 1343, H = 3.04104e+00\n", - "log(Z): -1.15311e+01, tol = 7.07862e+00, K = 1, iteration = 1344, H = 3.04098e+00\n", - "log(Z): -1.15233e+01, tol = 7.06888e+00, K = 1, iteration = 1345, H = 3.04100e+00\n", - "log(Z): -1.15156e+01, tol = 7.05916e+00, K = 1, iteration = 1346, H = 3.04102e+00\n", - "log(Z): -1.15078e+01, tol = 7.04943e+00, K = 1, iteration = 1347, H = 3.04105e+00\n", - "log(Z): -1.15001e+01, tol = 7.03965e+00, K = 1, iteration = 1348, H = 3.04115e+00\n", - "log(Z): -1.14922e+01, tol = 7.02981e+00, K = 1, iteration = 1349, H = 3.04134e+00\n", - "log(Z): -1.14844e+01, tol = 7.02004e+00, K = 1, iteration = 1350, H = 3.04146e+00\n", - "log(Z): -1.14766e+01, tol = 7.01022e+00, K = 1, iteration = 1351, H = 3.04165e+00\n", - "log(Z): -1.14688e+01, tol = 7.00046e+00, K = 1, iteration = 1352, H = 3.04179e+00\n", - "log(Z): -1.14611e+01, tol = 6.99070e+00, K = 1, iteration = 1353, H = 3.04195e+00\n", - "log(Z): -1.14533e+01, tol = 6.98100e+00, K = 1, iteration = 1354, H = 3.04206e+00\n", - "log(Z): -1.14457e+01, tol = 6.97136e+00, K = 1, iteration = 1355, H = 3.04212e+00\n", - "log(Z): -1.14380e+01, tol = 6.96171e+00, K = 1, iteration = 1356, H = 3.04221e+00\n", - "log(Z): -1.14304e+01, tol = 6.95210e+00, K = 1, iteration = 1357, H = 3.04227e+00\n", - "log(Z): -1.14229e+01, tol = 6.94255e+00, K = 1, iteration = 1358, H = 3.04230e+00\n", - "log(Z): -1.14153e+01, tol = 6.93298e+00, K = 1, iteration = 1359, H = 3.04234e+00\n", - "log(Z): -1.14077e+01, tol = 6.92343e+00, K = 1, iteration = 1360, H = 3.04239e+00\n", - "log(Z): -1.14002e+01, tol = 6.91394e+00, K = 1, iteration = 1361, H = 3.04239e+00\n", - "log(Z): -1.13928e+01, tol = 6.90452e+00, K = 1, iteration = 1362, H = 3.04234e+00\n", - "log(Z): -1.13854e+01, tol = 6.89516e+00, K = 1, iteration = 1363, H = 3.04224e+00\n", - "log(Z): -1.13781e+01, tol = 6.88584e+00, K = 1, iteration = 1364, H = 3.04212e+00\n", - "log(Z): -1.13708e+01, tol = 6.87653e+00, K = 1, iteration = 1365, H = 3.04201e+00\n", - "log(Z): -1.13635e+01, tol = 6.86724e+00, K = 1, iteration = 1366, H = 3.04189e+00\n", - "log(Z): -1.13562e+01, tol = 6.85799e+00, K = 1, iteration = 1367, H = 3.04175e+00\n", - "log(Z): -1.13490e+01, tol = 6.84877e+00, K = 1, iteration = 1368, H = 3.04159e+00\n", - "log(Z): -1.13418e+01, tol = 6.83962e+00, K = 1, iteration = 1369, H = 3.04138e+00\n", - "log(Z): -1.13347e+01, tol = 6.83053e+00, K = 1, iteration = 1370, H = 3.04113e+00\n", - "log(Z): -1.13276e+01, tol = 6.82144e+00, K = 1, iteration = 1371, H = 3.04090e+00\n", - "log(Z): -1.13206e+01, tol = 6.81238e+00, K = 1, iteration = 1372, H = 3.04065e+00\n", - "log(Z): -1.13135e+01, tol = 6.80337e+00, K = 1, iteration = 1373, H = 3.04037e+00\n", - "log(Z): -1.13066e+01, tol = 6.79440e+00, K = 1, iteration = 1374, H = 3.04006e+00\n", - "log(Z): -1.12996e+01, tol = 6.78546e+00, K = 1, iteration = 1375, H = 3.03975e+00\n", - "log(Z): -1.12927e+01, tol = 6.77656e+00, K = 1, iteration = 1376, H = 3.03942e+00\n", - "log(Z): -1.12857e+01, tol = 6.76753e+00, K = 1, iteration = 1377, H = 3.03922e+00\n", - "log(Z): -1.12786e+01, tol = 6.75853e+00, K = 1, iteration = 1378, H = 3.03901e+00\n", - "log(Z): -1.12716e+01, tol = 6.74953e+00, K = 1, iteration = 1379, H = 3.03882e+00\n", - "log(Z): -1.12646e+01, tol = 6.74055e+00, K = 1, iteration = 1380, H = 3.03862e+00\n", - "log(Z): -1.12576e+01, tol = 6.73152e+00, K = 1, iteration = 1381, H = 3.03849e+00\n", - "log(Z): -1.12506e+01, tol = 6.72248e+00, K = 1, iteration = 1382, H = 3.03838e+00\n", - "log(Z): -1.12435e+01, tol = 6.71347e+00, K = 1, iteration = 1383, H = 3.03825e+00\n", - "log(Z): -1.12365e+01, tol = 6.70450e+00, K = 1, iteration = 1384, H = 3.03811e+00\n", - "log(Z): -1.12296e+01, tol = 6.69553e+00, K = 1, iteration = 1385, H = 3.03797e+00\n", - "log(Z): -1.12226e+01, tol = 6.68660e+00, K = 1, iteration = 1386, H = 3.03781e+00\n", - "log(Z): -1.12157e+01, tol = 6.67769e+00, K = 1, iteration = 1387, H = 3.03765e+00\n", - "log(Z): -1.12088e+01, tol = 6.66882e+00, K = 1, iteration = 1388, H = 3.03747e+00\n", - "log(Z): -1.12018e+01, tol = 6.65976e+00, K = 1, iteration = 1389, H = 3.03748e+00\n", - "log(Z): -1.11947e+01, tol = 6.65075e+00, K = 1, iteration = 1390, H = 3.03746e+00\n", - "log(Z): -1.11876e+01, tol = 6.64160e+00, K = 1, iteration = 1391, H = 3.03760e+00\n", - "log(Z): -1.11804e+01, tol = 6.63249e+00, K = 1, iteration = 1392, H = 3.03771e+00\n", - "log(Z): -1.11734e+01, tol = 6.62342e+00, K = 1, iteration = 1393, H = 3.03780e+00\n", - "log(Z): -1.11663e+01, tol = 6.61441e+00, K = 1, iteration = 1394, H = 3.03783e+00\n", - "log(Z): -1.11593e+01, tol = 6.60541e+00, K = 1, iteration = 1395, H = 3.03787e+00\n", - "log(Z): -1.11524e+01, tol = 6.59647e+00, K = 1, iteration = 1396, H = 3.03786e+00\n", - "log(Z): -1.11454e+01, tol = 6.58754e+00, K = 1, iteration = 1397, H = 3.03786e+00\n", - "log(Z): -1.11386e+01, tol = 6.57866e+00, K = 1, iteration = 1398, H = 3.03782e+00\n", - "log(Z): -1.11317e+01, tol = 6.56985e+00, K = 1, iteration = 1399, H = 3.03773e+00\n", - "log(Z): -1.11249e+01, tol = 6.56107e+00, K = 1, iteration = 1400, H = 3.03762e+00\n", - "log(Z): -1.11182e+01, tol = 6.55234e+00, K = 1, iteration = 1401, H = 3.03748e+00\n", - "log(Z): -1.11115e+01, tol = 6.54363e+00, K = 1, iteration = 1402, H = 3.03733e+00\n", - "log(Z): -1.11048e+01, tol = 6.53497e+00, K = 1, iteration = 1403, H = 3.03715e+00\n", - "log(Z): -1.10981e+01, tol = 6.52634e+00, K = 1, iteration = 1404, H = 3.03695e+00\n", - "log(Z): -1.10915e+01, tol = 6.51774e+00, K = 1, iteration = 1405, H = 3.03674e+00\n", - "log(Z): -1.10849e+01, tol = 6.50916e+00, K = 1, iteration = 1406, H = 3.03652e+00\n", - "log(Z): -1.10784e+01, tol = 6.50061e+00, K = 1, iteration = 1407, H = 3.03629e+00\n", - "log(Z): -1.10719e+01, tol = 6.49210e+00, K = 1, iteration = 1408, H = 3.03604e+00\n", - "log(Z): -1.10654e+01, tol = 6.48363e+00, K = 1, iteration = 1409, H = 3.03576e+00\n", - "log(Z): -1.10589e+01, tol = 6.47519e+00, K = 1, iteration = 1410, H = 3.03547e+00\n", - "log(Z): -1.10525e+01, tol = 6.46677e+00, K = 1, iteration = 1411, H = 3.03517e+00\n", - "log(Z): -1.10461e+01, tol = 6.45835e+00, K = 1, iteration = 1412, H = 3.03489e+00\n", - "log(Z): -1.10396e+01, tol = 6.44994e+00, K = 1, iteration = 1413, H = 3.03462e+00\n", - "log(Z): -1.10332e+01, tol = 6.44156e+00, K = 1, iteration = 1414, H = 3.03432e+00\n", - "log(Z): -1.10269e+01, tol = 6.43322e+00, K = 1, iteration = 1415, H = 3.03401e+00\n", - "log(Z): -1.10205e+01, tol = 6.42488e+00, K = 1, iteration = 1416, H = 3.03372e+00\n", - "log(Z): -1.10142e+01, tol = 6.41657e+00, K = 1, iteration = 1417, H = 3.03340e+00\n", - "log(Z): -1.10079e+01, tol = 6.40830e+00, K = 1, iteration = 1418, H = 3.03306e+00\n", - "log(Z): -1.10014e+01, tol = 6.39980e+00, K = 1, iteration = 1419, H = 3.03296e+00\n", - "log(Z): -1.09949e+01, tol = 6.39135e+00, K = 1, iteration = 1420, H = 3.03283e+00\n", - "log(Z): -1.09885e+01, tol = 6.38291e+00, K = 1, iteration = 1421, H = 3.03270e+00\n", - "log(Z): -1.09821e+01, tol = 6.37452e+00, K = 1, iteration = 1422, H = 3.03253e+00\n", - "log(Z): -1.09757e+01, tol = 6.36618e+00, K = 1, iteration = 1423, H = 3.03233e+00\n", - "log(Z): -1.09694e+01, tol = 6.35784e+00, K = 1, iteration = 1424, H = 3.03215e+00\n", - "log(Z): -1.09631e+01, tol = 6.34954e+00, K = 1, iteration = 1425, H = 3.03194e+00\n", - "log(Z): -1.09568e+01, tol = 6.34130e+00, K = 1, iteration = 1426, H = 3.03169e+00\n", - "log(Z): -1.09505e+01, tol = 6.33299e+00, K = 1, iteration = 1427, H = 3.03151e+00\n", - "log(Z): -1.09442e+01, tol = 6.32470e+00, K = 1, iteration = 1428, H = 3.03133e+00\n", - "log(Z): -1.09379e+01, tol = 6.31642e+00, K = 1, iteration = 1429, H = 3.03116e+00\n", - "log(Z): -1.09316e+01, tol = 6.30817e+00, K = 1, iteration = 1430, H = 3.03097e+00\n", - "log(Z): -1.09253e+01, tol = 6.29982e+00, K = 1, iteration = 1431, H = 3.03089e+00\n", - "log(Z): -1.09189e+01, tol = 6.29151e+00, K = 1, iteration = 1432, H = 3.03079e+00\n", - "log(Z): -1.09125e+01, tol = 6.28310e+00, K = 1, iteration = 1433, H = 3.03080e+00\n", - "log(Z): -1.09061e+01, tol = 6.27470e+00, K = 1, iteration = 1434, H = 3.03081e+00\n", - "log(Z): -1.08997e+01, tol = 6.26636e+00, K = 1, iteration = 1435, H = 3.03077e+00\n", - "log(Z): -1.08934e+01, tol = 6.25806e+00, K = 1, iteration = 1436, H = 3.03071e+00\n", - "log(Z): -1.08871e+01, tol = 6.24980e+00, K = 1, iteration = 1437, H = 3.03062e+00\n", - "log(Z): -1.08809e+01, tol = 6.24158e+00, K = 1, iteration = 1438, H = 3.03051e+00\n", - "log(Z): -1.08747e+01, tol = 6.23340e+00, K = 1, iteration = 1439, H = 3.03036e+00\n", - "log(Z): -1.08686e+01, tol = 6.22527e+00, K = 1, iteration = 1440, H = 3.03019e+00\n", - "log(Z): -1.08625e+01, tol = 6.21718e+00, K = 1, iteration = 1441, H = 3.02999e+00\n", - "log(Z): -1.08564e+01, tol = 6.20913e+00, K = 1, iteration = 1442, H = 3.02976e+00\n", - "log(Z): -1.08504e+01, tol = 6.20113e+00, K = 1, iteration = 1443, H = 3.02950e+00\n", - "log(Z): -1.08444e+01, tol = 6.19312e+00, K = 1, iteration = 1444, H = 3.02927e+00\n", - "log(Z): -1.08384e+01, tol = 6.18514e+00, K = 1, iteration = 1445, H = 3.02901e+00\n", - "log(Z): -1.08324e+01, tol = 6.17721e+00, K = 1, iteration = 1446, H = 3.02873e+00\n", - "log(Z): -1.08265e+01, tol = 6.16931e+00, K = 1, iteration = 1447, H = 3.02843e+00\n", - "log(Z): -1.08206e+01, tol = 6.16144e+00, K = 1, iteration = 1448, H = 3.02811e+00\n", - "log(Z): -1.08147e+01, tol = 6.15352e+00, K = 1, iteration = 1449, H = 3.02786e+00\n", - "log(Z): -1.08087e+01, tol = 6.14562e+00, K = 1, iteration = 1450, H = 3.02760e+00\n", - "log(Z): -1.08029e+01, tol = 6.13775e+00, K = 1, iteration = 1451, H = 3.02732e+00\n", - "log(Z): -1.07970e+01, tol = 6.12987e+00, K = 1, iteration = 1452, H = 3.02706e+00\n", - "log(Z): -1.07911e+01, tol = 6.12203e+00, K = 1, iteration = 1453, H = 3.02678e+00\n", - "log(Z): -1.07853e+01, tol = 6.11422e+00, K = 1, iteration = 1454, H = 3.02649e+00\n", - "log(Z): -1.07795e+01, tol = 6.10642e+00, K = 1, iteration = 1455, H = 3.02620e+00\n", - "log(Z): -1.07737e+01, tol = 6.09864e+00, K = 1, iteration = 1456, H = 3.02591e+00\n", - "log(Z): -1.07679e+01, tol = 6.09088e+00, K = 1, iteration = 1457, H = 3.02561e+00\n", - "log(Z): -1.07620e+01, tol = 6.08305e+00, K = 1, iteration = 1458, H = 3.02539e+00\n", - "log(Z): -1.07562e+01, tol = 6.07523e+00, K = 1, iteration = 1459, H = 3.02517e+00\n", - "log(Z): -1.07504e+01, tol = 6.06743e+00, K = 1, iteration = 1460, H = 3.02495e+00\n", - "log(Z): -1.07446e+01, tol = 6.05965e+00, K = 1, iteration = 1461, H = 3.02472e+00\n", - "log(Z): -1.07387e+01, tol = 6.05180e+00, K = 1, iteration = 1462, H = 3.02457e+00\n", - "log(Z): -1.07329e+01, tol = 6.04396e+00, K = 1, iteration = 1463, H = 3.02443e+00\n", - "log(Z): -1.07270e+01, tol = 6.03614e+00, K = 1, iteration = 1464, H = 3.02428e+00\n", - "log(Z): -1.07212e+01, tol = 6.02832e+00, K = 1, iteration = 1465, H = 3.02414e+00\n", - "log(Z): -1.07153e+01, tol = 6.02043e+00, K = 1, iteration = 1466, H = 3.02408e+00\n", - "log(Z): -1.07094e+01, tol = 6.01257e+00, K = 1, iteration = 1467, H = 3.02400e+00\n", - "log(Z): -1.07036e+01, tol = 6.00475e+00, K = 1, iteration = 1468, H = 3.02390e+00\n", - "log(Z): -1.06977e+01, tol = 5.99696e+00, K = 1, iteration = 1469, H = 3.02378e+00\n", - "log(Z): -1.06920e+01, tol = 5.98921e+00, K = 1, iteration = 1470, H = 3.02364e+00\n", - "log(Z): -1.06862e+01, tol = 5.98148e+00, K = 1, iteration = 1471, H = 3.02349e+00\n", - "log(Z): -1.06805e+01, tol = 5.97376e+00, K = 1, iteration = 1472, H = 3.02333e+00\n", - "log(Z): -1.06748e+01, tol = 5.96608e+00, K = 1, iteration = 1473, H = 3.02315e+00\n", - "log(Z): -1.06691e+01, tol = 5.95844e+00, K = 1, iteration = 1474, H = 3.02296e+00\n", - "log(Z): -1.06635e+01, tol = 5.95082e+00, K = 1, iteration = 1475, H = 3.02275e+00\n", - "log(Z): -1.06579e+01, tol = 5.94323e+00, K = 1, iteration = 1476, H = 3.02252e+00\n", - "log(Z): -1.06523e+01, tol = 5.93567e+00, K = 1, iteration = 1477, H = 3.02228e+00\n", - "log(Z): -1.06467e+01, tol = 5.92812e+00, K = 1, iteration = 1478, H = 3.02204e+00\n", - "log(Z): -1.06412e+01, tol = 5.92058e+00, K = 1, iteration = 1479, H = 3.02181e+00\n", - "log(Z): -1.06356e+01, tol = 5.91308e+00, K = 1, iteration = 1480, H = 3.02154e+00\n", - "log(Z): -1.06301e+01, tol = 5.90559e+00, K = 1, iteration = 1481, H = 3.02128e+00\n", - "log(Z): -1.06246e+01, tol = 5.89805e+00, K = 1, iteration = 1482, H = 3.02109e+00\n", - "log(Z): -1.06190e+01, tol = 5.89053e+00, K = 1, iteration = 1483, H = 3.02088e+00\n", - "log(Z): -1.06135e+01, tol = 5.88299e+00, K = 1, iteration = 1484, H = 3.02070e+00\n", - "log(Z): -1.06079e+01, tol = 5.87544e+00, K = 1, iteration = 1485, H = 3.02056e+00\n", - "log(Z): -1.06024e+01, tol = 5.86792e+00, K = 1, iteration = 1486, H = 3.02039e+00\n", - "log(Z): -1.05969e+01, tol = 5.86044e+00, K = 1, iteration = 1487, H = 3.02019e+00\n", - "log(Z): -1.05914e+01, tol = 5.85299e+00, K = 1, iteration = 1488, H = 3.01998e+00\n", - "log(Z): -1.05859e+01, tol = 5.84556e+00, K = 1, iteration = 1489, H = 3.01976e+00\n", - "log(Z): -1.05805e+01, tol = 5.83815e+00, K = 1, iteration = 1490, H = 3.01954e+00\n", - "log(Z): -1.05751e+01, tol = 5.83074e+00, K = 1, iteration = 1491, H = 3.01932e+00\n", - "log(Z): -1.05697e+01, tol = 5.82337e+00, K = 1, iteration = 1492, H = 3.01908e+00\n", - "log(Z): -1.05643e+01, tol = 5.81601e+00, K = 1, iteration = 1493, H = 3.01884e+00\n", - "log(Z): -1.05590e+01, tol = 5.80869e+00, K = 1, iteration = 1494, H = 3.01858e+00\n", - "log(Z): -1.05535e+01, tol = 5.80123e+00, K = 1, iteration = 1495, H = 3.01847e+00\n", - "log(Z): -1.05480e+01, tol = 5.79381e+00, K = 1, iteration = 1496, H = 3.01832e+00\n", - "log(Z): -1.05425e+01, tol = 5.78632e+00, K = 1, iteration = 1497, H = 3.01826e+00\n", - "log(Z): -1.05370e+01, tol = 5.77882e+00, K = 1, iteration = 1498, H = 3.01822e+00\n", - "log(Z): -1.05315e+01, tol = 5.77136e+00, K = 1, iteration = 1499, H = 3.01815e+00\n", - "log(Z): -1.05261e+01, tol = 5.76392e+00, K = 1, iteration = 1500, H = 3.01807e+00\n", - "log(Z): -1.05206e+01, tol = 5.75652e+00, K = 1, iteration = 1501, H = 3.01797e+00\n", - "log(Z): -1.05152e+01, tol = 5.74909e+00, K = 1, iteration = 1502, H = 3.01790e+00\n", - "log(Z): -1.05097e+01, tol = 5.74167e+00, K = 1, iteration = 1503, H = 3.01784e+00\n", - "log(Z): -1.05043e+01, tol = 5.73428e+00, K = 1, iteration = 1504, H = 3.01776e+00\n", - "log(Z): -1.04989e+01, tol = 5.72692e+00, K = 1, iteration = 1505, H = 3.01766e+00\n", - "log(Z): -1.04936e+01, tol = 5.71959e+00, K = 1, iteration = 1506, H = 3.01755e+00\n", - "log(Z): -1.04882e+01, tol = 5.71224e+00, K = 1, iteration = 1507, H = 3.01746e+00\n", - "log(Z): -1.04828e+01, tol = 5.70489e+00, K = 1, iteration = 1508, H = 3.01738e+00\n", - "log(Z): -1.04775e+01, tol = 5.69758e+00, K = 1, iteration = 1509, H = 3.01728e+00\n", - "log(Z): -1.04722e+01, tol = 5.69030e+00, K = 1, iteration = 1510, H = 3.01716e+00\n", - "log(Z): -1.04669e+01, tol = 5.68304e+00, K = 1, iteration = 1511, H = 3.01703e+00\n", - "log(Z): -1.04616e+01, tol = 5.67580e+00, K = 1, iteration = 1512, H = 3.01689e+00\n", - "log(Z): -1.04563e+01, tol = 5.66852e+00, K = 1, iteration = 1513, H = 3.01681e+00\n", - "log(Z): -1.04511e+01, tol = 5.66126e+00, K = 1, iteration = 1514, H = 3.01671e+00\n", - "log(Z): -1.04458e+01, tol = 5.65400e+00, K = 1, iteration = 1515, H = 3.01662e+00\n", - "log(Z): -1.04405e+01, tol = 5.64677e+00, K = 1, iteration = 1516, H = 3.01652e+00\n", - "log(Z): -1.04353e+01, tol = 5.63955e+00, K = 1, iteration = 1517, H = 3.01642e+00\n", - "log(Z): -1.04300e+01, tol = 5.63232e+00, K = 1, iteration = 1518, H = 3.01634e+00\n", - "log(Z): -1.04247e+01, tol = 5.62509e+00, K = 1, iteration = 1519, H = 3.01628e+00\n", - "log(Z): -1.04195e+01, tol = 5.61788e+00, K = 1, iteration = 1520, H = 3.01619e+00\n", - "log(Z): -1.04142e+01, tol = 5.61058e+00, K = 1, iteration = 1521, H = 3.01622e+00\n", - "log(Z): -1.04088e+01, tol = 5.60321e+00, K = 1, iteration = 1522, H = 3.01632e+00\n", - "log(Z): -1.04034e+01, tol = 5.59586e+00, K = 1, iteration = 1523, H = 3.01642e+00\n", - "log(Z): -1.03980e+01, tol = 5.58852e+00, K = 1, iteration = 1524, H = 3.01652e+00\n", - "log(Z): -1.03926e+01, tol = 5.58108e+00, K = 1, iteration = 1525, H = 3.01673e+00\n", - "log(Z): -1.03871e+01, tol = 5.57367e+00, K = 1, iteration = 1526, H = 3.01691e+00\n", - "log(Z): -1.03817e+01, tol = 5.56629e+00, K = 1, iteration = 1527, H = 3.01707e+00\n", - "log(Z): -1.03764e+01, tol = 5.55896e+00, K = 1, iteration = 1528, H = 3.01721e+00\n", - "log(Z): -1.03710e+01, tol = 5.55164e+00, K = 1, iteration = 1529, H = 3.01733e+00\n", - "log(Z): -1.03657e+01, tol = 5.54433e+00, K = 1, iteration = 1530, H = 3.01746e+00\n", - "log(Z): -1.03604e+01, tol = 5.53703e+00, K = 1, iteration = 1531, H = 3.01758e+00\n", - "log(Z): -1.03551e+01, tol = 5.52975e+00, K = 1, iteration = 1532, H = 3.01769e+00\n", - "log(Z): -1.03498e+01, tol = 5.52249e+00, K = 1, iteration = 1533, H = 3.01780e+00\n", - "log(Z): -1.03444e+01, tol = 5.51515e+00, K = 1, iteration = 1534, H = 3.01800e+00\n", - "log(Z): -1.03390e+01, tol = 5.50784e+00, K = 1, iteration = 1535, H = 3.01817e+00\n", - "log(Z): -1.03337e+01, tol = 5.50052e+00, K = 1, iteration = 1536, H = 3.01837e+00\n", - "log(Z): -1.03283e+01, tol = 5.49319e+00, K = 1, iteration = 1537, H = 3.01859e+00\n", - "log(Z): -1.03230e+01, tol = 5.48589e+00, K = 1, iteration = 1538, H = 3.01877e+00\n", - "log(Z): -1.03177e+01, tol = 5.47863e+00, K = 1, iteration = 1539, H = 3.01894e+00\n", - "log(Z): -1.03124e+01, tol = 5.47134e+00, K = 1, iteration = 1540, H = 3.01915e+00\n", - "log(Z): -1.03071e+01, tol = 5.46408e+00, K = 1, iteration = 1541, H = 3.01933e+00\n", - "log(Z): -1.03018e+01, tol = 5.45678e+00, K = 1, iteration = 1542, H = 3.01956e+00\n", - "log(Z): -1.02965e+01, tol = 5.44952e+00, K = 1, iteration = 1543, H = 3.01977e+00\n", - "log(Z): -1.02912e+01, tol = 5.44225e+00, K = 1, iteration = 1544, H = 3.01999e+00\n", - "log(Z): -1.02859e+01, tol = 5.43498e+00, K = 1, iteration = 1545, H = 3.02022e+00\n", - "log(Z): -1.02806e+01, tol = 5.42774e+00, K = 1, iteration = 1546, H = 3.02043e+00\n", - "log(Z): -1.02753e+01, tol = 5.42048e+00, K = 1, iteration = 1547, H = 3.02067e+00\n", - "log(Z): -1.02700e+01, tol = 5.41316e+00, K = 1, iteration = 1548, H = 3.02099e+00\n", - "log(Z): -1.02646e+01, tol = 5.40587e+00, K = 1, iteration = 1549, H = 3.02128e+00\n", - "log(Z): -1.02593e+01, tol = 5.39857e+00, K = 1, iteration = 1550, H = 3.02159e+00\n", - "log(Z): -1.02539e+01, tol = 5.39121e+00, K = 1, iteration = 1551, H = 3.02197e+00\n", - "log(Z): -1.02486e+01, tol = 5.38388e+00, K = 1, iteration = 1552, H = 3.02233e+00\n", - "log(Z): -1.02431e+01, tol = 5.37647e+00, K = 1, iteration = 1553, H = 3.02279e+00\n", - "log(Z): -1.02377e+01, tol = 5.36907e+00, K = 1, iteration = 1554, H = 3.02324e+00\n", - "log(Z): -1.02323e+01, tol = 5.36170e+00, K = 1, iteration = 1555, H = 3.02367e+00\n", - "log(Z): -1.02268e+01, tol = 5.35430e+00, K = 1, iteration = 1556, H = 3.02415e+00\n", - "log(Z): -1.02214e+01, tol = 5.34686e+00, K = 1, iteration = 1557, H = 3.02467e+00\n", - "log(Z): -1.02159e+01, tol = 5.33945e+00, K = 1, iteration = 1558, H = 3.02517e+00\n", - "log(Z): -1.02105e+01, tol = 5.33202e+00, K = 1, iteration = 1559, H = 3.02570e+00\n", - "log(Z): -1.02050e+01, tol = 5.32463e+00, K = 1, iteration = 1560, H = 3.02619e+00\n", - "log(Z): -1.01996e+01, tol = 5.31727e+00, K = 1, iteration = 1561, H = 3.02667e+00\n", - "log(Z): -1.01942e+01, tol = 5.30991e+00, K = 1, iteration = 1562, H = 3.02714e+00\n", - "log(Z): -1.01888e+01, tol = 5.30255e+00, K = 1, iteration = 1563, H = 3.02763e+00\n", - "log(Z): -1.01835e+01, tol = 5.29523e+00, K = 1, iteration = 1564, H = 3.02808e+00\n", - "log(Z): -1.01781e+01, tol = 5.28794e+00, K = 1, iteration = 1565, H = 3.02851e+00\n", - "log(Z): -1.01728e+01, tol = 5.28063e+00, K = 1, iteration = 1566, H = 3.02896e+00\n", - "log(Z): -1.01675e+01, tol = 5.27336e+00, K = 1, iteration = 1567, H = 3.02940e+00\n", - "log(Z): -1.01621e+01, tol = 5.26605e+00, K = 1, iteration = 1568, H = 3.02987e+00\n", - "log(Z): -1.01568e+01, tol = 5.25878e+00, K = 1, iteration = 1569, H = 3.03031e+00\n", - "log(Z): -1.01516e+01, tol = 5.25154e+00, K = 1, iteration = 1570, H = 3.03072e+00\n", - "log(Z): -1.01463e+01, tol = 5.24432e+00, K = 1, iteration = 1571, H = 3.03113e+00\n", - "log(Z): -1.01411e+01, tol = 5.23712e+00, K = 1, iteration = 1572, H = 3.03152e+00\n", - "log(Z): -1.01359e+01, tol = 5.22995e+00, K = 1, iteration = 1573, H = 3.03188e+00\n", - "log(Z): -1.01307e+01, tol = 5.22281e+00, K = 1, iteration = 1574, H = 3.03222e+00\n", - "log(Z): -1.01255e+01, tol = 5.21571e+00, K = 1, iteration = 1575, H = 3.03254e+00\n", - "log(Z): -1.01204e+01, tol = 5.20864e+00, K = 1, iteration = 1576, H = 3.03282e+00\n", - "log(Z): -1.01153e+01, tol = 5.20159e+00, K = 1, iteration = 1577, H = 3.03310e+00\n", - "log(Z): -1.01103e+01, tol = 5.19458e+00, K = 1, iteration = 1578, H = 3.03334e+00\n", - "log(Z): -1.01052e+01, tol = 5.18757e+00, K = 1, iteration = 1579, H = 3.03359e+00\n", - "log(Z): -1.01002e+01, tol = 5.18058e+00, K = 1, iteration = 1580, H = 3.03383e+00\n", - "log(Z): -1.00951e+01, tol = 5.17355e+00, K = 1, iteration = 1581, H = 3.03412e+00\n", - "log(Z): -1.00901e+01, tol = 5.16653e+00, K = 1, iteration = 1582, H = 3.03441e+00\n", - "log(Z): -1.00851e+01, tol = 5.15954e+00, K = 1, iteration = 1583, H = 3.03467e+00\n", - "log(Z): -1.00800e+01, tol = 5.15257e+00, K = 1, iteration = 1584, H = 3.03493e+00\n", - "log(Z): -1.00751e+01, tol = 5.14562e+00, K = 1, iteration = 1585, H = 3.03517e+00\n", - "log(Z): -1.00701e+01, tol = 5.13866e+00, K = 1, iteration = 1586, H = 3.03543e+00\n", - "log(Z): -1.00650e+01, tol = 5.13167e+00, K = 1, iteration = 1587, H = 3.03573e+00\n", - "log(Z): -1.00600e+01, tol = 5.12468e+00, K = 1, iteration = 1588, H = 3.03604e+00\n", - "log(Z): -1.00550e+01, tol = 5.11769e+00, K = 1, iteration = 1589, H = 3.03636e+00\n", - "log(Z): -1.00499e+01, tol = 5.11071e+00, K = 1, iteration = 1590, H = 3.03668e+00\n", - "log(Z): -1.00449e+01, tol = 5.10376e+00, K = 1, iteration = 1591, H = 3.03697e+00\n", - "log(Z): -1.00399e+01, tol = 5.09674e+00, K = 1, iteration = 1592, H = 3.03735e+00\n", - "log(Z): -1.00349e+01, tol = 5.08976e+00, K = 1, iteration = 1593, H = 3.03770e+00\n", - "log(Z): -1.00298e+01, tol = 5.08279e+00, K = 1, iteration = 1594, H = 3.03803e+00\n", - "log(Z): -1.00249e+01, tol = 5.07584e+00, K = 1, iteration = 1595, H = 3.03836e+00\n", - "log(Z): -1.00199e+01, tol = 5.06891e+00, K = 1, iteration = 1596, H = 3.03868e+00\n", - "log(Z): -1.00149e+01, tol = 5.06195e+00, K = 1, iteration = 1597, H = 3.03903e+00\n", - "log(Z): -1.00099e+01, tol = 5.05500e+00, K = 1, iteration = 1598, H = 3.03939e+00\n", - "log(Z): -1.00049e+01, tol = 5.04808e+00, K = 1, iteration = 1599, H = 3.03972e+00\n", - "log(Z): -9.99997e+00, tol = 5.04118e+00, K = 1, iteration = 1600, H = 3.04004e+00\n", - "log(Z): -9.99504e+00, tol = 5.03430e+00, K = 1, iteration = 1601, H = 3.04035e+00\n", - "log(Z): -9.99013e+00, tol = 5.02743e+00, K = 1, iteration = 1602, H = 3.04065e+00\n", - "log(Z): -9.98518e+00, tol = 5.02053e+00, K = 1, iteration = 1603, H = 3.04099e+00\n", - "log(Z): -9.98026e+00, tol = 5.01365e+00, K = 1, iteration = 1604, H = 3.04132e+00\n", - "log(Z): -9.97534e+00, tol = 5.00677e+00, K = 1, iteration = 1605, H = 3.04166e+00\n", - "log(Z): -9.97043e+00, tol = 4.99991e+00, K = 1, iteration = 1606, H = 3.04199e+00\n", - "log(Z): -9.96554e+00, tol = 4.99307e+00, K = 1, iteration = 1607, H = 3.04230e+00\n", - "log(Z): -9.96067e+00, tol = 4.98625e+00, K = 1, iteration = 1608, H = 3.04260e+00\n", - "log(Z): -9.95582e+00, tol = 4.97945e+00, K = 1, iteration = 1609, H = 3.04289e+00\n", - "log(Z): -9.95099e+00, tol = 4.97266e+00, K = 1, iteration = 1610, H = 3.04318e+00\n", - "log(Z): -9.94618e+00, tol = 4.96590e+00, K = 1, iteration = 1611, H = 3.04344e+00\n", - "log(Z): -9.94139e+00, tol = 4.95916e+00, K = 1, iteration = 1612, H = 3.04369e+00\n", - "log(Z): -9.93663e+00, tol = 4.95245e+00, K = 1, iteration = 1613, H = 3.04392e+00\n", - "log(Z): -9.93190e+00, tol = 4.94576e+00, K = 1, iteration = 1614, H = 3.04413e+00\n", - "log(Z): -9.92718e+00, tol = 4.93909e+00, K = 1, iteration = 1615, H = 3.04434e+00\n", - "log(Z): -9.92246e+00, tol = 4.93242e+00, K = 1, iteration = 1616, H = 3.04455e+00\n", - "log(Z): -9.91772e+00, tol = 4.92573e+00, K = 1, iteration = 1617, H = 3.04479e+00\n", - "log(Z): -9.91301e+00, tol = 4.91906e+00, K = 1, iteration = 1618, H = 3.04502e+00\n", - "log(Z): -9.90831e+00, tol = 4.91242e+00, K = 1, iteration = 1619, H = 3.04522e+00\n", - "log(Z): -9.90364e+00, tol = 4.90580e+00, K = 1, iteration = 1620, H = 3.04542e+00\n", - "log(Z): -9.89898e+00, tol = 4.89918e+00, K = 1, iteration = 1621, H = 3.04562e+00\n", - "log(Z): -9.89432e+00, tol = 4.89258e+00, K = 1, iteration = 1622, H = 3.04581e+00\n", - "log(Z): -9.88966e+00, tol = 4.88596e+00, K = 1, iteration = 1623, H = 3.04603e+00\n", - "log(Z): -9.88502e+00, tol = 4.87938e+00, K = 1, iteration = 1624, H = 3.04622e+00\n", - "log(Z): -9.88036e+00, tol = 4.87277e+00, K = 1, iteration = 1625, H = 3.04644e+00\n", - "log(Z): -9.87570e+00, tol = 4.86616e+00, K = 1, iteration = 1626, H = 3.04668e+00\n", - "log(Z): -9.87107e+00, tol = 4.85958e+00, K = 1, iteration = 1627, H = 3.04690e+00\n", - "log(Z): -9.86643e+00, tol = 4.85299e+00, K = 1, iteration = 1628, H = 3.04712e+00\n", - "log(Z): -9.86183e+00, tol = 4.84644e+00, K = 1, iteration = 1629, H = 3.04732e+00\n", - "log(Z): -9.85723e+00, tol = 4.83989e+00, K = 1, iteration = 1630, H = 3.04753e+00\n", - "log(Z): -9.85259e+00, tol = 4.83331e+00, K = 1, iteration = 1631, H = 3.04778e+00\n", - "log(Z): -9.84792e+00, tol = 4.82669e+00, K = 1, iteration = 1632, H = 3.04807e+00\n", - "log(Z): -9.84328e+00, tol = 4.82010e+00, K = 1, iteration = 1633, H = 3.04835e+00\n", - "log(Z): -9.83862e+00, tol = 4.81350e+00, K = 1, iteration = 1634, H = 3.04864e+00\n", - "log(Z): -9.83395e+00, tol = 4.80688e+00, K = 1, iteration = 1635, H = 3.04897e+00\n", - "log(Z): -9.82929e+00, tol = 4.80028e+00, K = 1, iteration = 1636, H = 3.04928e+00\n", - "log(Z): -9.82462e+00, tol = 4.79366e+00, K = 1, iteration = 1637, H = 3.04961e+00\n", - "log(Z): -9.81987e+00, tol = 4.78696e+00, K = 1, iteration = 1638, H = 3.05005e+00\n", - "log(Z): -9.81512e+00, tol = 4.78027e+00, K = 1, iteration = 1639, H = 3.05048e+00\n", - "log(Z): -9.81034e+00, tol = 4.77355e+00, K = 1, iteration = 1640, H = 3.05096e+00\n", - "log(Z): -9.80557e+00, tol = 4.76683e+00, K = 1, iteration = 1641, H = 3.05143e+00\n", - "log(Z): -9.80082e+00, tol = 4.76014e+00, K = 1, iteration = 1642, H = 3.05188e+00\n", - "log(Z): -9.79610e+00, tol = 4.75348e+00, K = 1, iteration = 1643, H = 3.05231e+00\n", - "log(Z): -9.79139e+00, tol = 4.74683e+00, K = 1, iteration = 1644, H = 3.05274e+00\n", - "log(Z): -9.78667e+00, tol = 4.74017e+00, K = 1, iteration = 1645, H = 3.05319e+00\n", - "log(Z): -9.78194e+00, tol = 4.73350e+00, K = 1, iteration = 1646, H = 3.05366e+00\n", - "log(Z): -9.77720e+00, tol = 4.72682e+00, K = 1, iteration = 1647, H = 3.05414e+00\n", - "log(Z): -9.77248e+00, tol = 4.72015e+00, K = 1, iteration = 1648, H = 3.05461e+00\n", - "log(Z): -9.76772e+00, tol = 4.71346e+00, K = 1, iteration = 1649, H = 3.05513e+00\n", - "log(Z): -9.76293e+00, tol = 4.70672e+00, K = 1, iteration = 1650, H = 3.05569e+00\n", - "log(Z): -9.75815e+00, tol = 4.70002e+00, K = 1, iteration = 1651, H = 3.05624e+00\n", - "log(Z): -9.75341e+00, tol = 4.69333e+00, K = 1, iteration = 1652, H = 3.05676e+00\n", - "log(Z): -9.74866e+00, tol = 4.68664e+00, K = 1, iteration = 1653, H = 3.05731e+00\n", - "log(Z): -9.74392e+00, tol = 4.67996e+00, K = 1, iteration = 1654, H = 3.05784e+00\n", - "log(Z): -9.73914e+00, tol = 4.67325e+00, K = 1, iteration = 1655, H = 3.05842e+00\n", - "log(Z): -9.73434e+00, tol = 4.66651e+00, K = 1, iteration = 1656, H = 3.05903e+00\n", - "log(Z): -9.72954e+00, tol = 4.65978e+00, K = 1, iteration = 1657, H = 3.05965e+00\n", - "log(Z): -9.72477e+00, tol = 4.65308e+00, K = 1, iteration = 1658, H = 3.06024e+00\n", - "log(Z): -9.72003e+00, tol = 4.64639e+00, K = 1, iteration = 1659, H = 3.06081e+00\n", - "log(Z): -9.71531e+00, tol = 4.63974e+00, K = 1, iteration = 1660, H = 3.06136e+00\n", - "log(Z): -9.71062e+00, tol = 4.63312e+00, K = 1, iteration = 1661, H = 3.06188e+00\n", - "log(Z): -9.70595e+00, tol = 4.62651e+00, K = 1, iteration = 1662, H = 3.06239e+00\n", - "log(Z): -9.70130e+00, tol = 4.61993e+00, K = 1, iteration = 1663, H = 3.06288e+00\n", - "log(Z): -9.69666e+00, tol = 4.61335e+00, K = 1, iteration = 1664, H = 3.06338e+00\n", - "log(Z): -9.69202e+00, tol = 4.60678e+00, K = 1, iteration = 1665, H = 3.06387e+00\n", - "log(Z): -9.68741e+00, tol = 4.60023e+00, K = 1, iteration = 1666, H = 3.06434e+00\n", - "log(Z): -9.68282e+00, tol = 4.59371e+00, K = 1, iteration = 1667, H = 3.06479e+00\n", - "log(Z): -9.67824e+00, tol = 4.58720e+00, K = 1, iteration = 1668, H = 3.06524e+00\n", - "log(Z): -9.67368e+00, tol = 4.58070e+00, K = 1, iteration = 1669, H = 3.06568e+00\n", - "log(Z): -9.66910e+00, tol = 4.57420e+00, K = 1, iteration = 1670, H = 3.06614e+00\n", - "log(Z): -9.66454e+00, tol = 4.56770e+00, K = 1, iteration = 1671, H = 3.06660e+00\n", - "log(Z): -9.66000e+00, tol = 4.56123e+00, K = 1, iteration = 1672, H = 3.06703e+00\n", - "log(Z): -9.65549e+00, tol = 4.55479e+00, K = 1, iteration = 1673, H = 3.06744e+00\n", - "log(Z): -9.65097e+00, tol = 4.54834e+00, K = 1, iteration = 1674, H = 3.06787e+00\n", - "log(Z): -9.64646e+00, tol = 4.54189e+00, K = 1, iteration = 1675, H = 3.06830e+00\n", - "log(Z): -9.64197e+00, tol = 4.53547e+00, K = 1, iteration = 1676, H = 3.06871e+00\n", - "log(Z): -9.63750e+00, tol = 4.52907e+00, K = 1, iteration = 1677, H = 3.06910e+00\n", - "log(Z): -9.63305e+00, tol = 4.52270e+00, K = 1, iteration = 1678, H = 3.06948e+00\n", - "log(Z): -9.62861e+00, tol = 4.51633e+00, K = 1, iteration = 1679, H = 3.06985e+00\n", - "log(Z): -9.62420e+00, tol = 4.50998e+00, K = 1, iteration = 1680, H = 3.07021e+00\n", - "log(Z): -9.61979e+00, tol = 4.50364e+00, K = 1, iteration = 1681, H = 3.07057e+00\n", - "log(Z): -9.61541e+00, tol = 4.49733e+00, K = 1, iteration = 1682, H = 3.07090e+00\n", - "log(Z): -9.61102e+00, tol = 4.49102e+00, K = 1, iteration = 1683, H = 3.07125e+00\n", - "log(Z): -9.60661e+00, tol = 4.48468e+00, K = 1, iteration = 1684, H = 3.07163e+00\n", - "log(Z): -9.60222e+00, tol = 4.47836e+00, K = 1, iteration = 1685, H = 3.07200e+00\n", - "log(Z): -9.59781e+00, tol = 4.47202e+00, K = 1, iteration = 1686, H = 3.07239e+00\n", - "log(Z): -9.59341e+00, tol = 4.46569e+00, K = 1, iteration = 1687, H = 3.07279e+00\n", - "log(Z): -9.58902e+00, tol = 4.45938e+00, K = 1, iteration = 1688, H = 3.07317e+00\n", - "log(Z): -9.58465e+00, tol = 4.45308e+00, K = 1, iteration = 1689, H = 3.07355e+00\n", - "log(Z): -9.58028e+00, tol = 4.44679e+00, K = 1, iteration = 1690, H = 3.07392e+00\n", - "log(Z): -9.57589e+00, tol = 4.44047e+00, K = 1, iteration = 1691, H = 3.07434e+00\n", - "log(Z): -9.57150e+00, tol = 4.43416e+00, K = 1, iteration = 1692, H = 3.07475e+00\n", - "log(Z): -9.56710e+00, tol = 4.42784e+00, K = 1, iteration = 1693, H = 3.07518e+00\n", - "log(Z): -9.56271e+00, tol = 4.42152e+00, K = 1, iteration = 1694, H = 3.07561e+00\n", - "log(Z): -9.55832e+00, tol = 4.41521e+00, K = 1, iteration = 1695, H = 3.07605e+00\n", - "log(Z): -9.55394e+00, tol = 4.40890e+00, K = 1, iteration = 1696, H = 3.07648e+00\n", - "log(Z): -9.54953e+00, tol = 4.40258e+00, K = 1, iteration = 1697, H = 3.07695e+00\n", - "log(Z): -9.54513e+00, tol = 4.39626e+00, K = 1, iteration = 1698, H = 3.07741e+00\n", - "log(Z): -9.54075e+00, tol = 4.38995e+00, K = 1, iteration = 1699, H = 3.07787e+00\n", - "log(Z): -9.53640e+00, tol = 4.38368e+00, K = 1, iteration = 1700, H = 3.07830e+00\n", - "log(Z): -9.53206e+00, tol = 4.37742e+00, K = 1, iteration = 1701, H = 3.07872e+00\n", - "log(Z): -9.52773e+00, tol = 4.37117e+00, K = 1, iteration = 1702, H = 3.07914e+00\n", - "log(Z): -9.52343e+00, tol = 4.36495e+00, K = 1, iteration = 1703, H = 3.07953e+00\n", - "log(Z): -9.51914e+00, tol = 4.35874e+00, K = 1, iteration = 1704, H = 3.07992e+00\n", - "log(Z): -9.51486e+00, tol = 4.35254e+00, K = 1, iteration = 1705, H = 3.08030e+00\n", - "log(Z): -9.51060e+00, tol = 4.34637e+00, K = 1, iteration = 1706, H = 3.08067e+00\n", - "log(Z): -9.50637e+00, tol = 4.34021e+00, K = 1, iteration = 1707, H = 3.08102e+00\n", - "log(Z): -9.50213e+00, tol = 4.33406e+00, K = 1, iteration = 1708, H = 3.08137e+00\n", - "log(Z): -9.49788e+00, tol = 4.32789e+00, K = 1, iteration = 1709, H = 3.08175e+00\n", - "log(Z): -9.49364e+00, tol = 4.32173e+00, K = 1, iteration = 1710, H = 3.08213e+00\n", - "log(Z): -9.48939e+00, tol = 4.31556e+00, K = 1, iteration = 1711, H = 3.08252e+00\n", - "log(Z): -9.48516e+00, tol = 4.30942e+00, K = 1, iteration = 1712, H = 3.08290e+00\n", - "log(Z): -9.48095e+00, tol = 4.30329e+00, K = 1, iteration = 1713, H = 3.08326e+00\n", - "log(Z): -9.47674e+00, tol = 4.29717e+00, K = 1, iteration = 1714, H = 3.08363e+00\n", - "log(Z): -9.47251e+00, tol = 4.29102e+00, K = 1, iteration = 1715, H = 3.08403e+00\n", - "log(Z): -9.46828e+00, tol = 4.28488e+00, K = 1, iteration = 1716, H = 3.08443e+00\n", - "log(Z): -9.46397e+00, tol = 4.27865e+00, K = 1, iteration = 1717, H = 3.08494e+00\n", - "log(Z): -9.45967e+00, tol = 4.27244e+00, K = 1, iteration = 1718, H = 3.08543e+00\n", - "log(Z): -9.45538e+00, tol = 4.26623e+00, K = 1, iteration = 1719, H = 3.08593e+00\n", - "log(Z): -9.45109e+00, tol = 4.26003e+00, K = 1, iteration = 1720, H = 3.08643e+00\n", - "log(Z): -9.44679e+00, tol = 4.25383e+00, K = 1, iteration = 1721, H = 3.08694e+00\n", - "log(Z): -9.44249e+00, tol = 4.24761e+00, K = 1, iteration = 1722, H = 3.08746e+00\n", - "log(Z): -9.43815e+00, tol = 4.24136e+00, K = 1, iteration = 1723, H = 3.08803e+00\n", - "log(Z): -9.43382e+00, tol = 4.23512e+00, K = 1, iteration = 1724, H = 3.08860e+00\n", - "log(Z): -9.42949e+00, tol = 4.22889e+00, K = 1, iteration = 1725, H = 3.08917e+00\n", - "log(Z): -9.42519e+00, tol = 4.22268e+00, K = 1, iteration = 1726, H = 3.08972e+00\n", - "log(Z): -9.42089e+00, tol = 4.21647e+00, K = 1, iteration = 1727, H = 3.09027e+00\n", - "log(Z): -9.41661e+00, tol = 4.21028e+00, K = 1, iteration = 1728, H = 3.09081e+00\n", - "log(Z): -9.41233e+00, tol = 4.20410e+00, K = 1, iteration = 1729, H = 3.09135e+00\n", - "log(Z): -9.40803e+00, tol = 4.19789e+00, K = 1, iteration = 1730, H = 3.09192e+00\n", - "log(Z): -9.40375e+00, tol = 4.19171e+00, K = 1, iteration = 1731, H = 3.09247e+00\n", - "log(Z): -9.39948e+00, tol = 4.18554e+00, K = 1, iteration = 1732, H = 3.09302e+00\n", - "log(Z): -9.39521e+00, tol = 4.17936e+00, K = 1, iteration = 1733, H = 3.09358e+00\n", - "log(Z): -9.39097e+00, tol = 4.17321e+00, K = 1, iteration = 1734, H = 3.09411e+00\n", - "log(Z): -9.38674e+00, tol = 4.16708e+00, K = 1, iteration = 1735, H = 3.09464e+00\n", - "log(Z): -9.38253e+00, tol = 4.16097e+00, K = 1, iteration = 1736, H = 3.09514e+00\n", - "log(Z): -9.37833e+00, tol = 4.15487e+00, K = 1, iteration = 1737, H = 3.09564e+00\n", - "log(Z): -9.37415e+00, tol = 4.14878e+00, K = 1, iteration = 1738, H = 3.09613e+00\n", - "log(Z): -9.36993e+00, tol = 4.14267e+00, K = 1, iteration = 1739, H = 3.09666e+00\n", - "log(Z): -9.36569e+00, tol = 4.13652e+00, K = 1, iteration = 1740, H = 3.09723e+00\n", - "log(Z): -9.36144e+00, tol = 4.13037e+00, K = 1, iteration = 1741, H = 3.09781e+00\n", - "log(Z): -9.35718e+00, tol = 4.12421e+00, K = 1, iteration = 1742, H = 3.09841e+00\n", - "log(Z): -9.35295e+00, tol = 4.11808e+00, K = 1, iteration = 1743, H = 3.09899e+00\n", - "log(Z): -9.34872e+00, tol = 4.11195e+00, K = 1, iteration = 1744, H = 3.09957e+00\n", - "log(Z): -9.34448e+00, tol = 4.10582e+00, K = 1, iteration = 1745, H = 3.10016e+00\n", - "log(Z): -9.34027e+00, tol = 4.09971e+00, K = 1, iteration = 1746, H = 3.10073e+00\n", - "log(Z): -9.33598e+00, tol = 4.09353e+00, K = 1, iteration = 1747, H = 3.10139e+00\n", - "log(Z): -9.33162e+00, tol = 4.08727e+00, K = 1, iteration = 1748, H = 3.10214e+00\n", - "log(Z): -9.32727e+00, tol = 4.08103e+00, K = 1, iteration = 1749, H = 3.10289e+00\n", - "log(Z): -9.32293e+00, tol = 4.07480e+00, K = 1, iteration = 1750, H = 3.10363e+00\n", - "log(Z): -9.31861e+00, tol = 4.06858e+00, K = 1, iteration = 1751, H = 3.10436e+00\n", - "log(Z): -9.31423e+00, tol = 4.06231e+00, K = 1, iteration = 1752, H = 3.10516e+00\n", - "log(Z): -9.30987e+00, tol = 4.05606e+00, K = 1, iteration = 1753, H = 3.10594e+00\n", - "log(Z): -9.30552e+00, tol = 4.04983e+00, K = 1, iteration = 1754, H = 3.10670e+00\n", - "log(Z): -9.30120e+00, tol = 4.04362e+00, K = 1, iteration = 1755, H = 3.10744e+00\n", - "log(Z): -9.29690e+00, tol = 4.03742e+00, K = 1, iteration = 1756, H = 3.10817e+00\n", - "log(Z): -9.29261e+00, tol = 4.03124e+00, K = 1, iteration = 1757, H = 3.10890e+00\n", - "log(Z): -9.28830e+00, tol = 4.02505e+00, K = 1, iteration = 1758, H = 3.10964e+00\n", - "log(Z): -9.28400e+00, tol = 4.01886e+00, K = 1, iteration = 1759, H = 3.11038e+00\n", - "log(Z): -9.27972e+00, tol = 4.01269e+00, K = 1, iteration = 1760, H = 3.11110e+00\n", - "log(Z): -9.27545e+00, tol = 4.00654e+00, K = 1, iteration = 1761, H = 3.11182e+00\n", - "log(Z): -9.27119e+00, tol = 4.00039e+00, K = 1, iteration = 1762, H = 3.11253e+00\n", - "log(Z): -9.26692e+00, tol = 3.99423e+00, K = 1, iteration = 1763, H = 3.11327e+00\n", - "log(Z): -9.26265e+00, tol = 3.98808e+00, K = 1, iteration = 1764, H = 3.11400e+00\n", - "log(Z): -9.25838e+00, tol = 3.98193e+00, K = 1, iteration = 1765, H = 3.11474e+00\n", - "log(Z): -9.25414e+00, tol = 3.97580e+00, K = 1, iteration = 1766, H = 3.11545e+00\n", - "log(Z): -9.24990e+00, tol = 3.96969e+00, K = 1, iteration = 1767, H = 3.11616e+00\n", - "log(Z): -9.24566e+00, tol = 3.96357e+00, K = 1, iteration = 1768, H = 3.11688e+00\n", - "log(Z): -9.24144e+00, tol = 3.95746e+00, K = 1, iteration = 1769, H = 3.11759e+00\n", - "log(Z): -9.23722e+00, tol = 3.95136e+00, K = 1, iteration = 1770, H = 3.11829e+00\n", - "log(Z): -9.23302e+00, tol = 3.94528e+00, K = 1, iteration = 1771, H = 3.11898e+00\n", - "log(Z): -9.22883e+00, tol = 3.93920e+00, K = 1, iteration = 1772, H = 3.11967e+00\n", - "log(Z): -9.22466e+00, tol = 3.93316e+00, K = 1, iteration = 1773, H = 3.12033e+00\n", - "log(Z): -9.22051e+00, tol = 3.92713e+00, K = 1, iteration = 1774, H = 3.12098e+00\n", - "log(Z): -9.21635e+00, tol = 3.92109e+00, K = 1, iteration = 1775, H = 3.12164e+00\n", - "log(Z): -9.21222e+00, tol = 3.91508e+00, K = 1, iteration = 1776, H = 3.12228e+00\n", - "log(Z): -9.20811e+00, tol = 3.90909e+00, K = 1, iteration = 1777, H = 3.12290e+00\n", - "log(Z): -9.20401e+00, tol = 3.90312e+00, K = 1, iteration = 1778, H = 3.12351e+00\n", - "log(Z): -9.19990e+00, tol = 3.89713e+00, K = 1, iteration = 1779, H = 3.12415e+00\n", - "log(Z): -9.19581e+00, tol = 3.89117e+00, K = 1, iteration = 1780, H = 3.12476e+00\n", - "log(Z): -9.19174e+00, tol = 3.88522e+00, K = 1, iteration = 1781, H = 3.12535e+00\n", - "log(Z): -9.18769e+00, tol = 3.87930e+00, K = 1, iteration = 1782, H = 3.12593e+00\n", - "log(Z): -9.18367e+00, tol = 3.87340e+00, K = 1, iteration = 1783, H = 3.12648e+00\n", - "log(Z): -9.17964e+00, tol = 3.86750e+00, K = 1, iteration = 1784, H = 3.12705e+00\n", - "log(Z): -9.17563e+00, tol = 3.86161e+00, K = 1, iteration = 1785, H = 3.12760e+00\n", - "log(Z): -9.17164e+00, tol = 3.85574e+00, K = 1, iteration = 1786, H = 3.12814e+00\n", - "log(Z): -9.16764e+00, tol = 3.84988e+00, K = 1, iteration = 1787, H = 3.12869e+00\n", - "log(Z): -9.16364e+00, tol = 3.84401e+00, K = 1, iteration = 1788, H = 3.12924e+00\n", - "log(Z): -9.15965e+00, tol = 3.83814e+00, K = 1, iteration = 1789, H = 3.12979e+00\n", - "log(Z): -9.15568e+00, tol = 3.83231e+00, K = 1, iteration = 1790, H = 3.13032e+00\n", - "log(Z): -9.15173e+00, tol = 3.82648e+00, K = 1, iteration = 1791, H = 3.13084e+00\n", - "log(Z): -9.14780e+00, tol = 3.82068e+00, K = 1, iteration = 1792, H = 3.13134e+00\n", - "log(Z): -9.14389e+00, tol = 3.81490e+00, K = 1, iteration = 1793, H = 3.13184e+00\n", - "log(Z): -9.13999e+00, tol = 3.80913e+00, K = 1, iteration = 1794, H = 3.13231e+00\n", - "log(Z): -9.13610e+00, tol = 3.80337e+00, K = 1, iteration = 1795, H = 3.13279e+00\n", - "log(Z): -9.13221e+00, tol = 3.79762e+00, K = 1, iteration = 1796, H = 3.13326e+00\n", - "log(Z): -9.12835e+00, tol = 3.79189e+00, K = 1, iteration = 1797, H = 3.13371e+00\n", - "log(Z): -9.12445e+00, tol = 3.78612e+00, K = 1, iteration = 1798, H = 3.13422e+00\n", - "log(Z): -9.12055e+00, tol = 3.78036e+00, K = 1, iteration = 1799, H = 3.13472e+00\n", - "log(Z): -9.11668e+00, tol = 3.77461e+00, K = 1, iteration = 1800, H = 3.13521e+00\n", - "log(Z): -9.11277e+00, tol = 3.76884e+00, K = 1, iteration = 1801, H = 3.13574e+00\n", - "log(Z): -9.10888e+00, tol = 3.76309e+00, K = 1, iteration = 1802, H = 3.13625e+00\n", - "log(Z): -9.10501e+00, tol = 3.75736e+00, K = 1, iteration = 1803, H = 3.13675e+00\n", - "log(Z): -9.10116e+00, tol = 3.75164e+00, K = 1, iteration = 1804, H = 3.13723e+00\n", - "log(Z): -9.09730e+00, tol = 3.74593e+00, K = 1, iteration = 1805, H = 3.13772e+00\n", - "log(Z): -9.09347e+00, tol = 3.74023e+00, K = 1, iteration = 1806, H = 3.13820e+00\n", - "log(Z): -9.08965e+00, tol = 3.73454e+00, K = 1, iteration = 1807, H = 3.13867e+00\n", - "log(Z): -9.08584e+00, tol = 3.72888e+00, K = 1, iteration = 1808, H = 3.13912e+00\n", - "log(Z): -9.08203e+00, tol = 3.72321e+00, K = 1, iteration = 1809, H = 3.13959e+00\n", - "log(Z): -9.07819e+00, tol = 3.71751e+00, K = 1, iteration = 1810, H = 3.14009e+00\n", - "log(Z): -9.07437e+00, tol = 3.71183e+00, K = 1, iteration = 1811, H = 3.14058e+00\n", - "log(Z): -9.07056e+00, tol = 3.70617e+00, K = 1, iteration = 1812, H = 3.14106e+00\n", - "log(Z): -9.06677e+00, tol = 3.70052e+00, K = 1, iteration = 1813, H = 3.14152e+00\n", - "log(Z): -9.06300e+00, tol = 3.69489e+00, K = 1, iteration = 1814, H = 3.14198e+00\n", - "log(Z): -9.05924e+00, tol = 3.68927e+00, K = 1, iteration = 1815, H = 3.14242e+00\n", - "log(Z): -9.05550e+00, tol = 3.68368e+00, K = 1, iteration = 1816, H = 3.14285e+00\n", - "log(Z): -9.05178e+00, tol = 3.67810e+00, K = 1, iteration = 1817, H = 3.14326e+00\n", - "log(Z): -9.04806e+00, tol = 3.67253e+00, K = 1, iteration = 1818, H = 3.14367e+00\n", - "log(Z): -9.04436e+00, tol = 3.66697e+00, K = 1, iteration = 1819, H = 3.14408e+00\n", - "log(Z): -9.04068e+00, tol = 3.66144e+00, K = 1, iteration = 1820, H = 3.14446e+00\n", - "log(Z): -9.03702e+00, tol = 3.65592e+00, K = 1, iteration = 1821, H = 3.14483e+00\n", - "log(Z): -9.03331e+00, tol = 3.65036e+00, K = 1, iteration = 1822, H = 3.14526e+00\n", - "log(Z): -9.02958e+00, tol = 3.64478e+00, K = 1, iteration = 1823, H = 3.14572e+00\n", - "log(Z): -9.02586e+00, tol = 3.63921e+00, K = 1, iteration = 1824, H = 3.14617e+00\n", - "log(Z): -9.02215e+00, tol = 3.63365e+00, K = 1, iteration = 1825, H = 3.14662e+00\n", - "log(Z): -9.01843e+00, tol = 3.62808e+00, K = 1, iteration = 1826, H = 3.14708e+00\n", - "log(Z): -9.01472e+00, tol = 3.62252e+00, K = 1, iteration = 1827, H = 3.14754e+00\n", - "log(Z): -9.01101e+00, tol = 3.61697e+00, K = 1, iteration = 1828, H = 3.14800e+00\n", - "log(Z): -9.00731e+00, tol = 3.61142e+00, K = 1, iteration = 1829, H = 3.14846e+00\n", - "log(Z): -9.00359e+00, tol = 3.60585e+00, K = 1, iteration = 1830, H = 3.14895e+00\n", - "log(Z): -8.99988e+00, tol = 3.60030e+00, K = 1, iteration = 1831, H = 3.14943e+00\n", - "log(Z): -8.99619e+00, tol = 3.59476e+00, K = 1, iteration = 1832, H = 3.14990e+00\n", - "log(Z): -8.99251e+00, tol = 3.58924e+00, K = 1, iteration = 1833, H = 3.15036e+00\n", - "log(Z): -8.98881e+00, tol = 3.58370e+00, K = 1, iteration = 1834, H = 3.15084e+00\n", - "log(Z): -8.98513e+00, tol = 3.57818e+00, K = 1, iteration = 1835, H = 3.15131e+00\n", - "log(Z): -8.98147e+00, tol = 3.57267e+00, K = 1, iteration = 1836, H = 3.15177e+00\n", - "log(Z): -8.97782e+00, tol = 3.56718e+00, K = 1, iteration = 1837, H = 3.15222e+00\n", - "log(Z): -8.97417e+00, tol = 3.56170e+00, K = 1, iteration = 1838, H = 3.15267e+00\n", - "log(Z): -8.97052e+00, tol = 3.55620e+00, K = 1, iteration = 1839, H = 3.15313e+00\n", - "log(Z): -8.96688e+00, tol = 3.55073e+00, K = 1, iteration = 1840, H = 3.15358e+00\n", - "log(Z): -8.96325e+00, tol = 3.54526e+00, K = 1, iteration = 1841, H = 3.15402e+00\n", - "log(Z): -8.95964e+00, tol = 3.53981e+00, K = 1, iteration = 1842, H = 3.15445e+00\n", - "log(Z): -8.95603e+00, tol = 3.53436e+00, K = 1, iteration = 1843, H = 3.15489e+00\n", - "log(Z): -8.95242e+00, tol = 3.52892e+00, K = 1, iteration = 1844, H = 3.15534e+00\n", - "log(Z): -8.94882e+00, tol = 3.52348e+00, K = 1, iteration = 1845, H = 3.15577e+00\n", - "log(Z): -8.94524e+00, tol = 3.51807e+00, K = 1, iteration = 1846, H = 3.15619e+00\n", - "log(Z): -8.94164e+00, tol = 3.51264e+00, K = 1, iteration = 1847, H = 3.15663e+00\n", - "log(Z): -8.93799e+00, tol = 3.50716e+00, K = 1, iteration = 1848, H = 3.15715e+00\n", - "log(Z): -8.93436e+00, tol = 3.50169e+00, K = 1, iteration = 1849, H = 3.15764e+00\n", - "log(Z): -8.93073e+00, tol = 3.49623e+00, K = 1, iteration = 1850, H = 3.15814e+00\n", - "log(Z): -8.92709e+00, tol = 3.49076e+00, K = 1, iteration = 1851, H = 3.15865e+00\n", - "log(Z): -8.92346e+00, tol = 3.48531e+00, K = 1, iteration = 1852, H = 3.15916e+00\n", - "log(Z): -8.91982e+00, tol = 3.47984e+00, K = 1, iteration = 1853, H = 3.15969e+00\n", - "log(Z): -8.91618e+00, tol = 3.47438e+00, K = 1, iteration = 1854, H = 3.16021e+00\n", - "log(Z): -8.91256e+00, tol = 3.46893e+00, K = 1, iteration = 1855, H = 3.16073e+00\n", - "log(Z): -8.90888e+00, tol = 3.46342e+00, K = 1, iteration = 1856, H = 3.16132e+00\n", - "log(Z): -8.90522e+00, tol = 3.45794e+00, K = 1, iteration = 1857, H = 3.16190e+00\n", - "log(Z): -8.90153e+00, tol = 3.45243e+00, K = 1, iteration = 1858, H = 3.16250e+00\n", - "log(Z): -8.89786e+00, tol = 3.44694e+00, K = 1, iteration = 1859, H = 3.16309e+00\n", - "log(Z): -8.89419e+00, tol = 3.44146e+00, K = 1, iteration = 1860, H = 3.16369e+00\n", - "log(Z): -8.89053e+00, tol = 3.43598e+00, K = 1, iteration = 1861, H = 3.16428e+00\n", - "log(Z): -8.88688e+00, tol = 3.43051e+00, K = 1, iteration = 1862, H = 3.16486e+00\n", - "log(Z): -8.88324e+00, tol = 3.42505e+00, K = 1, iteration = 1863, H = 3.16544e+00\n", - "log(Z): -8.87962e+00, tol = 3.41962e+00, K = 1, iteration = 1864, H = 3.16600e+00\n", - "log(Z): -8.87602e+00, tol = 3.41420e+00, K = 1, iteration = 1865, H = 3.16655e+00\n", - "log(Z): -8.87243e+00, tol = 3.40879e+00, K = 1, iteration = 1866, H = 3.16708e+00\n", - "log(Z): -8.86885e+00, tol = 3.40340e+00, K = 1, iteration = 1867, H = 3.16760e+00\n", - "log(Z): -8.86528e+00, tol = 3.39801e+00, K = 1, iteration = 1868, H = 3.16813e+00\n", - "log(Z): -8.86172e+00, tol = 3.39264e+00, K = 1, iteration = 1869, H = 3.16865e+00\n", - "log(Z): -8.85818e+00, tol = 3.38729e+00, K = 1, iteration = 1870, H = 3.16915e+00\n", - "log(Z): -8.85463e+00, tol = 3.38192e+00, K = 1, iteration = 1871, H = 3.16967e+00\n", - "log(Z): -8.85109e+00, tol = 3.37657e+00, K = 1, iteration = 1872, H = 3.17017e+00\n", - "log(Z): -8.84756e+00, tol = 3.37123e+00, K = 1, iteration = 1873, H = 3.17068e+00\n", - "log(Z): -8.84404e+00, tol = 3.36591e+00, K = 1, iteration = 1874, H = 3.17117e+00\n", - "log(Z): -8.84053e+00, tol = 3.36058e+00, K = 1, iteration = 1875, H = 3.17167e+00\n", - "log(Z): -8.83702e+00, tol = 3.35527e+00, K = 1, iteration = 1876, H = 3.17216e+00\n", - "log(Z): -8.83354e+00, tol = 3.34998e+00, K = 1, iteration = 1877, H = 3.17263e+00\n", - "log(Z): -8.83006e+00, tol = 3.34469e+00, K = 1, iteration = 1878, H = 3.17311e+00\n", - "log(Z): -8.82659e+00, tol = 3.33942e+00, K = 1, iteration = 1879, H = 3.17357e+00\n", - "log(Z): -8.82315e+00, tol = 3.33417e+00, K = 1, iteration = 1880, H = 3.17401e+00\n", - "log(Z): -8.81970e+00, tol = 3.32891e+00, K = 1, iteration = 1881, H = 3.17447e+00\n", - "log(Z): -8.81626e+00, tol = 3.32367e+00, K = 1, iteration = 1882, H = 3.17491e+00\n", - "log(Z): -8.81284e+00, tol = 3.31845e+00, K = 1, iteration = 1883, H = 3.17535e+00\n", - "log(Z): -8.80942e+00, tol = 3.31322e+00, K = 1, iteration = 1884, H = 3.17578e+00\n", - "log(Z): -8.80601e+00, tol = 3.30800e+00, K = 1, iteration = 1885, H = 3.17622e+00\n", - "log(Z): -8.80260e+00, tol = 3.30280e+00, K = 1, iteration = 1886, H = 3.17665e+00\n", - "log(Z): -8.79920e+00, tol = 3.29760e+00, K = 1, iteration = 1887, H = 3.17708e+00\n", - "log(Z): -8.79583e+00, tol = 3.29242e+00, K = 1, iteration = 1888, H = 3.17749e+00\n", - "log(Z): -8.79244e+00, tol = 3.28724e+00, K = 1, iteration = 1889, H = 3.17792e+00\n", - "log(Z): -8.78905e+00, tol = 3.28205e+00, K = 1, iteration = 1890, H = 3.17835e+00\n", - "log(Z): -8.78565e+00, tol = 3.27686e+00, K = 1, iteration = 1891, H = 3.17880e+00\n", - "log(Z): -8.78227e+00, tol = 3.27167e+00, K = 1, iteration = 1892, H = 3.17924e+00\n", - "log(Z): -8.77883e+00, tol = 3.26644e+00, K = 1, iteration = 1893, H = 3.17975e+00\n", - "log(Z): -8.77539e+00, tol = 3.26121e+00, K = 1, iteration = 1894, H = 3.18026e+00\n", - "log(Z): -8.77197e+00, tol = 3.25600e+00, K = 1, iteration = 1895, H = 3.18076e+00\n", - "log(Z): -8.76857e+00, tol = 3.25080e+00, K = 1, iteration = 1896, H = 3.18124e+00\n", - "log(Z): -8.76515e+00, tol = 3.24560e+00, K = 1, iteration = 1897, H = 3.18174e+00\n", - "log(Z): -8.76173e+00, tol = 3.24039e+00, K = 1, iteration = 1898, H = 3.18226e+00\n", - "log(Z): -8.75831e+00, tol = 3.23518e+00, K = 1, iteration = 1899, H = 3.18277e+00\n", - "log(Z): -8.75491e+00, tol = 3.22999e+00, K = 1, iteration = 1900, H = 3.18327e+00\n", - "log(Z): -8.75152e+00, tol = 3.22482e+00, K = 1, iteration = 1901, H = 3.18376e+00\n", - "log(Z): -8.74814e+00, tol = 3.21966e+00, K = 1, iteration = 1902, H = 3.18424e+00\n", - "log(Z): -8.74479e+00, tol = 3.21452e+00, K = 1, iteration = 1903, H = 3.18470e+00\n", - "log(Z): -8.74143e+00, tol = 3.20937e+00, K = 1, iteration = 1904, H = 3.18518e+00\n", - "log(Z): -8.73808e+00, tol = 3.20424e+00, K = 1, iteration = 1905, H = 3.18565e+00\n", - "log(Z): -8.73474e+00, tol = 3.19912e+00, K = 1, iteration = 1906, H = 3.18610e+00\n", - "log(Z): -8.73142e+00, tol = 3.19401e+00, K = 1, iteration = 1907, H = 3.18655e+00\n", - "log(Z): -8.72810e+00, tol = 3.18892e+00, K = 1, iteration = 1908, H = 3.18699e+00\n", - "log(Z): -8.72479e+00, tol = 3.18383e+00, K = 1, iteration = 1909, H = 3.18743e+00\n", - "log(Z): -8.72150e+00, tol = 3.17875e+00, K = 1, iteration = 1910, H = 3.18786e+00\n", - "log(Z): -8.71821e+00, tol = 3.17368e+00, K = 1, iteration = 1911, H = 3.18830e+00\n", - "log(Z): -8.71493e+00, tol = 3.16862e+00, K = 1, iteration = 1912, H = 3.18872e+00\n", - "log(Z): -8.71166e+00, tol = 3.16358e+00, K = 1, iteration = 1913, H = 3.18913e+00\n", - "log(Z): -8.70841e+00, tol = 3.15855e+00, K = 1, iteration = 1914, H = 3.18954e+00\n", - "log(Z): -8.70517e+00, tol = 3.15353e+00, K = 1, iteration = 1915, H = 3.18993e+00\n", - "log(Z): -8.70194e+00, tol = 3.14853e+00, K = 1, iteration = 1916, H = 3.19032e+00\n", - "log(Z): -8.69872e+00, tol = 3.14353e+00, K = 1, iteration = 1917, H = 3.19070e+00\n", - "log(Z): -8.69552e+00, tol = 3.13856e+00, K = 1, iteration = 1918, H = 3.19106e+00\n", - "log(Z): -8.69231e+00, tol = 3.13357e+00, K = 1, iteration = 1919, H = 3.19145e+00\n", - "log(Z): -8.68909e+00, tol = 3.12858e+00, K = 1, iteration = 1920, H = 3.19184e+00\n", - "log(Z): -8.68589e+00, tol = 3.12361e+00, K = 1, iteration = 1921, H = 3.19222e+00\n", - "log(Z): -8.68271e+00, tol = 3.11866e+00, K = 1, iteration = 1922, H = 3.19259e+00\n", - "log(Z): -8.67954e+00, tol = 3.11372e+00, K = 1, iteration = 1923, H = 3.19295e+00\n", - "log(Z): -8.67637e+00, tol = 3.10878e+00, K = 1, iteration = 1924, H = 3.19330e+00\n", - "log(Z): -8.67322e+00, tol = 3.10385e+00, K = 1, iteration = 1925, H = 3.19366e+00\n", - "log(Z): -8.67008e+00, tol = 3.09894e+00, K = 1, iteration = 1926, H = 3.19400e+00\n", - "log(Z): -8.66693e+00, tol = 3.09403e+00, K = 1, iteration = 1927, H = 3.19435e+00\n", - "log(Z): -8.66379e+00, tol = 3.08913e+00, K = 1, iteration = 1928, H = 3.19470e+00\n", - "log(Z): -8.66067e+00, tol = 3.08424e+00, K = 1, iteration = 1929, H = 3.19503e+00\n", - "log(Z): -8.65756e+00, tol = 3.07937e+00, K = 1, iteration = 1930, H = 3.19536e+00\n", - "log(Z): -8.65447e+00, tol = 3.07450e+00, K = 1, iteration = 1931, H = 3.19568e+00\n", - "log(Z): -8.65137e+00, tol = 3.06965e+00, K = 1, iteration = 1932, H = 3.19600e+00\n", - "log(Z): -8.64829e+00, tol = 3.06480e+00, K = 1, iteration = 1933, H = 3.19631e+00\n", - "log(Z): -8.64522e+00, tol = 3.05997e+00, K = 1, iteration = 1934, H = 3.19661e+00\n", - "log(Z): -8.64209e+00, tol = 3.05508e+00, K = 1, iteration = 1935, H = 3.19699e+00\n", - "log(Z): -8.63897e+00, tol = 3.05020e+00, K = 1, iteration = 1936, H = 3.19735e+00\n", - "log(Z): -8.63587e+00, tol = 3.04534e+00, K = 1, iteration = 1937, H = 3.19772e+00\n", - "log(Z): -8.63278e+00, tol = 3.04049e+00, K = 1, iteration = 1938, H = 3.19806e+00\n", - "log(Z): -8.62970e+00, tol = 3.03566e+00, K = 1, iteration = 1939, H = 3.19840e+00\n", - "log(Z): -8.62660e+00, tol = 3.03080e+00, K = 1, iteration = 1940, H = 3.19877e+00\n", - "log(Z): -8.62348e+00, tol = 3.02594e+00, K = 1, iteration = 1941, H = 3.19916e+00\n", - "log(Z): -8.62039e+00, tol = 3.02109e+00, K = 1, iteration = 1942, H = 3.19953e+00\n", - "log(Z): -8.61729e+00, tol = 3.01624e+00, K = 1, iteration = 1943, H = 3.19991e+00\n", - "log(Z): -8.61420e+00, tol = 3.01140e+00, K = 1, iteration = 1944, H = 3.20029e+00\n", - "log(Z): -8.61113e+00, tol = 3.00658e+00, K = 1, iteration = 1945, H = 3.20065e+00\n", - "log(Z): -8.60806e+00, tol = 3.00176e+00, K = 1, iteration = 1946, H = 3.20102e+00\n", - "log(Z): -8.60499e+00, tol = 2.99695e+00, K = 1, iteration = 1947, H = 3.20138e+00\n", - "log(Z): -8.60194e+00, tol = 2.99214e+00, K = 1, iteration = 1948, H = 3.20174e+00\n", - "log(Z): -8.59889e+00, tol = 2.98735e+00, K = 1, iteration = 1949, H = 3.20209e+00\n", - "log(Z): -8.59586e+00, tol = 2.98257e+00, K = 1, iteration = 1950, H = 3.20243e+00\n", - "log(Z): -8.59283e+00, tol = 2.97780e+00, K = 1, iteration = 1951, H = 3.20277e+00\n", - "log(Z): -8.58982e+00, tol = 2.97304e+00, K = 1, iteration = 1952, H = 3.20310e+00\n", - "log(Z): -8.58682e+00, tol = 2.96830e+00, K = 1, iteration = 1953, H = 3.20343e+00\n", - "log(Z): -8.58383e+00, tol = 2.96357e+00, K = 1, iteration = 1954, H = 3.20374e+00\n", - "log(Z): -8.58085e+00, tol = 2.95884e+00, K = 1, iteration = 1955, H = 3.20405e+00\n", - "log(Z): -8.57787e+00, tol = 2.95413e+00, K = 1, iteration = 1956, H = 3.20436e+00\n", - "log(Z): -8.57490e+00, tol = 2.94942e+00, K = 1, iteration = 1957, H = 3.20467e+00\n", - "log(Z): -8.57195e+00, tol = 2.94472e+00, K = 1, iteration = 1958, H = 3.20497e+00\n", - "log(Z): -8.56900e+00, tol = 2.94003e+00, K = 1, iteration = 1959, H = 3.20526e+00\n", - "log(Z): -8.56605e+00, tol = 2.93535e+00, K = 1, iteration = 1960, H = 3.20556e+00\n", - "log(Z): -8.56311e+00, tol = 2.93067e+00, K = 1, iteration = 1961, H = 3.20586e+00\n", - "log(Z): -8.56017e+00, tol = 2.92600e+00, K = 1, iteration = 1962, H = 3.20615e+00\n", - "log(Z): -8.55722e+00, tol = 2.92131e+00, K = 1, iteration = 1963, H = 3.20647e+00\n", - "log(Z): -8.55427e+00, tol = 2.91663e+00, K = 1, iteration = 1964, H = 3.20680e+00\n", - "log(Z): -8.55132e+00, tol = 2.91195e+00, K = 1, iteration = 1965, H = 3.20712e+00\n", - "log(Z): -8.54839e+00, tol = 2.90729e+00, K = 1, iteration = 1966, H = 3.20743e+00\n", - "log(Z): -8.54547e+00, tol = 2.90263e+00, K = 1, iteration = 1967, H = 3.20774e+00\n", - "log(Z): -8.54254e+00, tol = 2.89798e+00, K = 1, iteration = 1968, H = 3.20806e+00\n", - "log(Z): -8.53961e+00, tol = 2.89332e+00, K = 1, iteration = 1969, H = 3.20838e+00\n", - "log(Z): -8.53669e+00, tol = 2.88868e+00, K = 1, iteration = 1970, H = 3.20869e+00\n", - "log(Z): -8.53378e+00, tol = 2.88404e+00, K = 1, iteration = 1971, H = 3.20901e+00\n", - "log(Z): -8.53086e+00, tol = 2.87939e+00, K = 1, iteration = 1972, H = 3.20933e+00\n", - "log(Z): -8.52796e+00, tol = 2.87477e+00, K = 1, iteration = 1973, H = 3.20965e+00\n", - "log(Z): -8.52507e+00, tol = 2.87015e+00, K = 1, iteration = 1974, H = 3.20996e+00\n", - "log(Z): -8.52218e+00, tol = 2.86554e+00, K = 1, iteration = 1975, H = 3.21026e+00\n", - "log(Z): -8.51927e+00, tol = 2.86091e+00, K = 1, iteration = 1976, H = 3.21059e+00\n", - "log(Z): -8.51637e+00, tol = 2.85630e+00, K = 1, iteration = 1977, H = 3.21092e+00\n", - "log(Z): -8.51349e+00, tol = 2.85169e+00, K = 1, iteration = 1978, H = 3.21124e+00\n", - "log(Z): -8.51061e+00, tol = 2.84710e+00, K = 1, iteration = 1979, H = 3.21155e+00\n", - "log(Z): -8.50774e+00, tol = 2.84251e+00, K = 1, iteration = 1980, H = 3.21186e+00\n", - "log(Z): -8.50488e+00, tol = 2.83794e+00, K = 1, iteration = 1981, H = 3.21217e+00\n", - "log(Z): -8.50203e+00, tol = 2.83337e+00, K = 1, iteration = 1982, H = 3.21247e+00\n", - "log(Z): -8.49919e+00, tol = 2.82881e+00, K = 1, iteration = 1983, H = 3.21277e+00\n", - "log(Z): -8.49636e+00, tol = 2.82427e+00, K = 1, iteration = 1984, H = 3.21305e+00\n", - "log(Z): -8.49352e+00, tol = 2.81972e+00, K = 1, iteration = 1985, H = 3.21335e+00\n", - "log(Z): -8.49070e+00, tol = 2.81518e+00, K = 1, iteration = 1986, H = 3.21364e+00\n", - "log(Z): -8.48789e+00, tol = 2.81066e+00, K = 1, iteration = 1987, H = 3.21392e+00\n", - "log(Z): -8.48508e+00, tol = 2.80615e+00, K = 1, iteration = 1988, H = 3.21420e+00\n", - "log(Z): -8.48229e+00, tol = 2.80164e+00, K = 1, iteration = 1989, H = 3.21447e+00\n", - "log(Z): -8.47951e+00, tol = 2.79715e+00, K = 1, iteration = 1990, H = 3.21473e+00\n", - "log(Z): -8.47673e+00, tol = 2.79267e+00, K = 1, iteration = 1991, H = 3.21499e+00\n", - "log(Z): -8.47397e+00, tol = 2.78820e+00, K = 1, iteration = 1992, H = 3.21524e+00\n", - "log(Z): -8.47121e+00, tol = 2.78374e+00, K = 1, iteration = 1993, H = 3.21549e+00\n", - "log(Z): -8.46846e+00, tol = 2.77928e+00, K = 1, iteration = 1994, H = 3.21574e+00\n", - "log(Z): -8.46572e+00, tol = 2.77484e+00, K = 1, iteration = 1995, H = 3.21598e+00\n", - "log(Z): -8.46300e+00, tol = 2.77040e+00, K = 1, iteration = 1996, H = 3.21621e+00\n", - "log(Z): -8.46028e+00, tol = 2.76598e+00, K = 1, iteration = 1997, H = 3.21644e+00\n", - "log(Z): -8.45751e+00, tol = 2.76151e+00, K = 1, iteration = 1998, H = 3.21673e+00\n", - "log(Z): -8.45475e+00, tol = 2.75706e+00, K = 1, iteration = 1999, H = 3.21701e+00\n", - "log(Z): -8.45200e+00, tol = 2.75261e+00, K = 1, iteration = 2000, H = 3.21728e+00\n", - "log(Z): -8.44927e+00, tol = 2.74818e+00, K = 1, iteration = 2001, H = 3.21754e+00\n", - "log(Z): -8.44651e+00, tol = 2.74373e+00, K = 1, iteration = 2002, H = 3.21784e+00\n", - "log(Z): -8.44376e+00, tol = 2.73929e+00, K = 1, iteration = 2003, H = 3.21812e+00\n", - "log(Z): -8.44103e+00, tol = 2.73486e+00, K = 1, iteration = 2004, H = 3.21840e+00\n", - "log(Z): -8.43830e+00, tol = 2.73044e+00, K = 1, iteration = 2005, H = 3.21868e+00\n", - "log(Z): -8.43558e+00, tol = 2.72603e+00, K = 1, iteration = 2006, H = 3.21894e+00\n", - "log(Z): -8.43288e+00, tol = 2.72163e+00, K = 1, iteration = 2007, H = 3.21920e+00\n", - "log(Z): -8.43019e+00, tol = 2.71725e+00, K = 1, iteration = 2008, H = 3.21945e+00\n", - "log(Z): -8.42749e+00, tol = 2.71287e+00, K = 1, iteration = 2009, H = 3.21971e+00\n", - "log(Z): -8.42477e+00, tol = 2.70846e+00, K = 1, iteration = 2010, H = 3.22000e+00\n", - "log(Z): -8.42206e+00, tol = 2.70406e+00, K = 1, iteration = 2011, H = 3.22029e+00\n", - "log(Z): -8.41935e+00, tol = 2.69966e+00, K = 1, iteration = 2012, H = 3.22058e+00\n", - "log(Z): -8.41663e+00, tol = 2.69527e+00, K = 1, iteration = 2013, H = 3.22087e+00\n", - "log(Z): -8.41393e+00, tol = 2.69088e+00, K = 1, iteration = 2014, H = 3.22117e+00\n", - "log(Z): -8.41123e+00, tol = 2.68650e+00, K = 1, iteration = 2015, H = 3.22146e+00\n", - "log(Z): -8.40855e+00, tol = 2.68214e+00, K = 1, iteration = 2016, H = 3.22173e+00\n", - "log(Z): -8.40586e+00, tol = 2.67778e+00, K = 1, iteration = 2017, H = 3.22202e+00\n", - "log(Z): -8.40318e+00, tol = 2.67342e+00, K = 1, iteration = 2018, H = 3.22230e+00\n", - "log(Z): -8.40051e+00, tol = 2.66907e+00, K = 1, iteration = 2019, H = 3.22258e+00\n", - "log(Z): -8.39784e+00, tol = 2.66472e+00, K = 1, iteration = 2020, H = 3.22286e+00\n", - "log(Z): -8.39517e+00, tol = 2.66038e+00, K = 1, iteration = 2021, H = 3.22315e+00\n", - "log(Z): -8.39251e+00, tol = 2.65604e+00, K = 1, iteration = 2022, H = 3.22343e+00\n", - "log(Z): -8.38982e+00, tol = 2.65168e+00, K = 1, iteration = 2023, H = 3.22375e+00\n", - "log(Z): -8.38713e+00, tol = 2.64733e+00, K = 1, iteration = 2024, H = 3.22407e+00\n", - "log(Z): -8.38443e+00, tol = 2.64296e+00, K = 1, iteration = 2025, H = 3.22440e+00\n", - "log(Z): -8.38174e+00, tol = 2.63860e+00, K = 1, iteration = 2026, H = 3.22473e+00\n", - "log(Z): -8.37904e+00, tol = 2.63425e+00, K = 1, iteration = 2027, H = 3.22507e+00\n", - "log(Z): -8.37636e+00, tol = 2.62990e+00, K = 1, iteration = 2028, H = 3.22540e+00\n", - "log(Z): -8.37368e+00, tol = 2.62556e+00, K = 1, iteration = 2029, H = 3.22573e+00\n", - "log(Z): -8.37101e+00, tol = 2.62123e+00, K = 1, iteration = 2030, H = 3.22606e+00\n", - "log(Z): -8.36834e+00, tol = 2.61690e+00, K = 1, iteration = 2031, H = 3.22639e+00\n", - "log(Z): -8.36567e+00, tol = 2.61257e+00, K = 1, iteration = 2032, H = 3.22673e+00\n", - "log(Z): -8.36300e+00, tol = 2.60825e+00, K = 1, iteration = 2033, H = 3.22706e+00\n", - "log(Z): -8.36034e+00, tol = 2.60393e+00, K = 1, iteration = 2034, H = 3.22740e+00\n", - "log(Z): -8.35769e+00, tol = 2.59962e+00, K = 1, iteration = 2035, H = 3.22772e+00\n", - "log(Z): -8.35505e+00, tol = 2.59532e+00, K = 1, iteration = 2036, H = 3.22805e+00\n", - "log(Z): -8.35241e+00, tol = 2.59103e+00, K = 1, iteration = 2037, H = 3.22837e+00\n", - "log(Z): -8.34979e+00, tol = 2.58676e+00, K = 1, iteration = 2038, H = 3.22867e+00\n", - "log(Z): -8.34717e+00, tol = 2.58249e+00, K = 1, iteration = 2039, H = 3.22898e+00\n", - "log(Z): -8.34457e+00, tol = 2.57823e+00, K = 1, iteration = 2040, H = 3.22928e+00\n", - "log(Z): -8.34196e+00, tol = 2.57397e+00, K = 1, iteration = 2041, H = 3.22959e+00\n", - "log(Z): -8.33935e+00, tol = 2.56972e+00, K = 1, iteration = 2042, H = 3.22989e+00\n", - "log(Z): -8.33675e+00, tol = 2.56548e+00, K = 1, iteration = 2043, H = 3.23019e+00\n", - "log(Z): -8.33417e+00, tol = 2.56124e+00, K = 1, iteration = 2044, H = 3.23049e+00\n", - "log(Z): -8.33159e+00, tol = 2.55702e+00, K = 1, iteration = 2045, H = 3.23078e+00\n", - "log(Z): -8.32901e+00, tol = 2.55279e+00, K = 1, iteration = 2046, H = 3.23107e+00\n", - "log(Z): -8.32644e+00, tol = 2.54858e+00, K = 1, iteration = 2047, H = 3.23136e+00\n", - "log(Z): -8.32388e+00, tol = 2.54438e+00, K = 1, iteration = 2048, H = 3.23164e+00\n", - "log(Z): -8.32133e+00, tol = 2.54019e+00, K = 1, iteration = 2049, H = 3.23192e+00\n", - "log(Z): -8.31878e+00, tol = 2.53600e+00, K = 1, iteration = 2050, H = 3.23220e+00\n", - "log(Z): -8.31623e+00, tol = 2.53181e+00, K = 1, iteration = 2051, H = 3.23249e+00\n", - "log(Z): -8.31368e+00, tol = 2.52762e+00, K = 1, iteration = 2052, H = 3.23277e+00\n", - "log(Z): -8.31115e+00, tol = 2.52345e+00, K = 1, iteration = 2053, H = 3.23305e+00\n", - "log(Z): -8.30861e+00, tol = 2.51927e+00, K = 1, iteration = 2054, H = 3.23334e+00\n", - "log(Z): -8.30604e+00, tol = 2.51508e+00, K = 1, iteration = 2055, H = 3.23365e+00\n", - "log(Z): -8.30348e+00, tol = 2.51089e+00, K = 1, iteration = 2056, H = 3.23397e+00\n", - "log(Z): -8.30093e+00, tol = 2.50671e+00, K = 1, iteration = 2057, H = 3.23428e+00\n", - "log(Z): -8.29838e+00, tol = 2.50253e+00, K = 1, iteration = 2058, H = 3.23460e+00\n", - "log(Z): -8.29584e+00, tol = 2.49836e+00, K = 1, iteration = 2059, H = 3.23491e+00\n", - "log(Z): -8.29329e+00, tol = 2.49419e+00, K = 1, iteration = 2060, H = 3.23523e+00\n", - "log(Z): -8.29072e+00, tol = 2.49000e+00, K = 1, iteration = 2061, H = 3.23558e+00\n", - "log(Z): -8.28817e+00, tol = 2.48582e+00, K = 1, iteration = 2062, H = 3.23591e+00\n", - "log(Z): -8.28561e+00, tol = 2.48164e+00, K = 1, iteration = 2063, H = 3.23626e+00\n", - "log(Z): -8.28305e+00, tol = 2.47746e+00, K = 1, iteration = 2064, H = 3.23661e+00\n", - "log(Z): -8.28049e+00, tol = 2.47329e+00, K = 1, iteration = 2065, H = 3.23697e+00\n", - "log(Z): -8.27795e+00, tol = 2.46913e+00, K = 1, iteration = 2066, H = 3.23731e+00\n", - "log(Z): -8.27540e+00, tol = 2.46497e+00, K = 1, iteration = 2067, H = 3.23765e+00\n", - "log(Z): -8.27286e+00, tol = 2.46082e+00, K = 1, iteration = 2068, H = 3.23800e+00\n", - "log(Z): -8.27034e+00, tol = 2.45668e+00, K = 1, iteration = 2069, H = 3.23834e+00\n", - "log(Z): -8.26781e+00, tol = 2.45254e+00, K = 1, iteration = 2070, H = 3.23867e+00\n", - "log(Z): -8.26530e+00, tol = 2.44842e+00, K = 1, iteration = 2071, H = 3.23900e+00\n", - "log(Z): -8.26279e+00, tol = 2.44430e+00, K = 1, iteration = 2072, H = 3.23932e+00\n", - "log(Z): -8.26029e+00, tol = 2.44020e+00, K = 1, iteration = 2073, H = 3.23965e+00\n", - "log(Z): -8.25780e+00, tol = 2.43610e+00, K = 1, iteration = 2074, H = 3.23996e+00\n", - "log(Z): -8.25532e+00, tol = 2.43201e+00, K = 1, iteration = 2075, H = 3.24027e+00\n", - "log(Z): -8.25281e+00, tol = 2.42789e+00, K = 1, iteration = 2076, H = 3.24062e+00\n", - "log(Z): -8.25031e+00, tol = 2.42379e+00, K = 1, iteration = 2077, H = 3.24096e+00\n", - "log(Z): -8.24782e+00, tol = 2.41970e+00, K = 1, iteration = 2078, H = 3.24129e+00\n", - "log(Z): -8.24533e+00, tol = 2.41561e+00, K = 1, iteration = 2079, H = 3.24162e+00\n", - "log(Z): -8.24286e+00, tol = 2.41154e+00, K = 1, iteration = 2080, H = 3.24194e+00\n", - "log(Z): -8.24040e+00, tol = 2.40748e+00, K = 1, iteration = 2081, H = 3.24225e+00\n", - "log(Z): -8.23794e+00, tol = 2.40342e+00, K = 1, iteration = 2082, H = 3.24256e+00\n", - "log(Z): -8.23549e+00, tol = 2.39937e+00, K = 1, iteration = 2083, H = 3.24287e+00\n", - "log(Z): -8.23304e+00, tol = 2.39533e+00, K = 1, iteration = 2084, H = 3.24319e+00\n", - "log(Z): -8.23059e+00, tol = 2.39128e+00, K = 1, iteration = 2085, H = 3.24350e+00\n", - "log(Z): -8.22815e+00, tol = 2.38725e+00, K = 1, iteration = 2086, H = 3.24381e+00\n", - "log(Z): -8.22572e+00, tol = 2.38323e+00, K = 1, iteration = 2087, H = 3.24410e+00\n", - "log(Z): -8.22330e+00, tol = 2.37922e+00, K = 1, iteration = 2088, H = 3.24440e+00\n", - "log(Z): -8.22090e+00, tol = 2.37522e+00, K = 1, iteration = 2089, H = 3.24468e+00\n", - "log(Z): -8.21848e+00, tol = 2.37122e+00, K = 1, iteration = 2090, H = 3.24498e+00\n", - "log(Z): -8.21606e+00, tol = 2.36721e+00, K = 1, iteration = 2091, H = 3.24528e+00\n", - "log(Z): -8.21365e+00, tol = 2.36322e+00, K = 1, iteration = 2092, H = 3.24558e+00\n", - "log(Z): -8.21125e+00, tol = 2.35924e+00, K = 1, iteration = 2093, H = 3.24587e+00\n", - "log(Z): -8.20886e+00, tol = 2.35526e+00, K = 1, iteration = 2094, H = 3.24616e+00\n", - "log(Z): -8.20647e+00, tol = 2.35129e+00, K = 1, iteration = 2095, H = 3.24644e+00\n", - "log(Z): -8.20409e+00, tol = 2.34733e+00, K = 1, iteration = 2096, H = 3.24673e+00\n", - "log(Z): -8.20172e+00, tol = 2.34337e+00, K = 1, iteration = 2097, H = 3.24701e+00\n", - "log(Z): -8.19935e+00, tol = 2.33942e+00, K = 1, iteration = 2098, H = 3.24728e+00\n", - "log(Z): -8.19699e+00, tol = 2.33548e+00, K = 1, iteration = 2099, H = 3.24756e+00\n", - "log(Z): -8.19463e+00, tol = 2.33155e+00, K = 1, iteration = 2100, H = 3.24783e+00\n", - "log(Z): -8.19227e+00, tol = 2.32762e+00, K = 1, iteration = 2101, H = 3.24810e+00\n", - "log(Z): -8.18991e+00, tol = 2.32368e+00, K = 1, iteration = 2102, H = 3.24840e+00\n", - "log(Z): -8.18754e+00, tol = 2.31973e+00, K = 1, iteration = 2103, H = 3.24870e+00\n", - "log(Z): -8.18517e+00, tol = 2.31580e+00, K = 1, iteration = 2104, H = 3.24899e+00\n", - "log(Z): -8.18281e+00, tol = 2.31187e+00, K = 1, iteration = 2105, H = 3.24929e+00\n", - "log(Z): -8.18045e+00, tol = 2.30794e+00, K = 1, iteration = 2106, H = 3.24959e+00\n", - "log(Z): -8.17809e+00, tol = 2.30401e+00, K = 1, iteration = 2107, H = 3.24990e+00\n", - "log(Z): -8.17574e+00, tol = 2.30010e+00, K = 1, iteration = 2108, H = 3.25020e+00\n", - "log(Z): -8.17339e+00, tol = 2.29619e+00, K = 1, iteration = 2109, H = 3.25049e+00\n", - "log(Z): -8.17106e+00, tol = 2.29229e+00, K = 1, iteration = 2110, H = 3.25077e+00\n", - "log(Z): -8.16873e+00, tol = 2.28840e+00, K = 1, iteration = 2111, H = 3.25106e+00\n", - "log(Z): -8.16641e+00, tol = 2.28452e+00, K = 1, iteration = 2112, H = 3.25134e+00\n", - "log(Z): -8.16408e+00, tol = 2.28064e+00, K = 1, iteration = 2113, H = 3.25163e+00\n", - "log(Z): -8.16175e+00, tol = 2.27674e+00, K = 1, iteration = 2114, H = 3.25193e+00\n", - "log(Z): -8.15941e+00, tol = 2.27285e+00, K = 1, iteration = 2115, H = 3.25224e+00\n", - "log(Z): -8.15709e+00, tol = 2.26898e+00, K = 1, iteration = 2116, H = 3.25254e+00\n", - "log(Z): -8.15476e+00, tol = 2.26509e+00, K = 1, iteration = 2117, H = 3.25285e+00\n", - "log(Z): -8.15243e+00, tol = 2.26122e+00, K = 1, iteration = 2118, H = 3.25316e+00\n", - "log(Z): -8.15011e+00, tol = 2.25735e+00, K = 1, iteration = 2119, H = 3.25347e+00\n", - "log(Z): -8.14780e+00, tol = 2.25349e+00, K = 1, iteration = 2120, H = 3.25377e+00\n", - "log(Z): -8.14549e+00, tol = 2.24964e+00, K = 1, iteration = 2121, H = 3.25407e+00\n", - "log(Z): -8.14319e+00, tol = 2.24579e+00, K = 1, iteration = 2122, H = 3.25436e+00\n", - "log(Z): -8.14090e+00, tol = 2.24195e+00, K = 1, iteration = 2123, H = 3.25466e+00\n", - "log(Z): -8.13860e+00, tol = 2.23811e+00, K = 1, iteration = 2124, H = 3.25496e+00\n", - "log(Z): -8.13632e+00, tol = 2.23429e+00, K = 1, iteration = 2125, H = 3.25524e+00\n", - "log(Z): -8.13404e+00, tol = 2.23047e+00, K = 1, iteration = 2126, H = 3.25553e+00\n", - "log(Z): -8.13177e+00, tol = 2.22666e+00, K = 1, iteration = 2127, H = 3.25581e+00\n", - "log(Z): -8.12951e+00, tol = 2.22286e+00, K = 1, iteration = 2128, H = 3.25609e+00\n", - "log(Z): -8.12725e+00, tol = 2.21906e+00, K = 1, iteration = 2129, H = 3.25637e+00\n", - "log(Z): -8.12500e+00, tol = 2.21527e+00, K = 1, iteration = 2130, H = 3.25664e+00\n", - "log(Z): -8.12275e+00, tol = 2.21149e+00, K = 1, iteration = 2131, H = 3.25691e+00\n", - "log(Z): -8.12051e+00, tol = 2.20772e+00, K = 1, iteration = 2132, H = 3.25718e+00\n", - "log(Z): -8.11827e+00, tol = 2.20394e+00, K = 1, iteration = 2133, H = 3.25745e+00\n", - "log(Z): -8.11602e+00, tol = 2.20016e+00, K = 1, iteration = 2134, H = 3.25774e+00\n", - "log(Z): -8.11377e+00, tol = 2.19639e+00, K = 1, iteration = 2135, H = 3.25802e+00\n", - "log(Z): -8.11154e+00, tol = 2.19262e+00, K = 1, iteration = 2136, H = 3.25830e+00\n", - "log(Z): -8.10931e+00, tol = 2.18886e+00, K = 1, iteration = 2137, H = 3.25858e+00\n", - "log(Z): -8.10708e+00, tol = 2.18511e+00, K = 1, iteration = 2138, H = 3.25885e+00\n", - "log(Z): -8.10487e+00, tol = 2.18138e+00, K = 1, iteration = 2139, H = 3.25911e+00\n", - "log(Z): -8.10266e+00, tol = 2.17765e+00, K = 1, iteration = 2140, H = 3.25937e+00\n", - "log(Z): -8.10047e+00, tol = 2.17392e+00, K = 1, iteration = 2141, H = 3.25963e+00\n", - "log(Z): -8.09827e+00, tol = 2.17021e+00, K = 1, iteration = 2142, H = 3.25988e+00\n", - "log(Z): -8.09609e+00, tol = 2.16650e+00, K = 1, iteration = 2143, H = 3.26013e+00\n", - "log(Z): -8.09391e+00, tol = 2.16280e+00, K = 1, iteration = 2144, H = 3.26037e+00\n", - "log(Z): -8.09174e+00, tol = 2.15911e+00, K = 1, iteration = 2145, H = 3.26061e+00\n", - "log(Z): -8.08957e+00, tol = 2.15542e+00, K = 1, iteration = 2146, H = 3.26085e+00\n", - "log(Z): -8.08737e+00, tol = 2.15172e+00, K = 1, iteration = 2147, H = 3.26113e+00\n", - "log(Z): -8.08519e+00, tol = 2.14802e+00, K = 1, iteration = 2148, H = 3.26140e+00\n", - "log(Z): -8.08300e+00, tol = 2.14432e+00, K = 1, iteration = 2149, H = 3.26167e+00\n", - "log(Z): -8.08082e+00, tol = 2.14063e+00, K = 1, iteration = 2150, H = 3.26194e+00\n", - "log(Z): -8.07865e+00, tol = 2.13695e+00, K = 1, iteration = 2151, H = 3.26220e+00\n", - "log(Z): -8.07647e+00, tol = 2.13326e+00, K = 1, iteration = 2152, H = 3.26248e+00\n", - "log(Z): -8.07429e+00, tol = 2.12958e+00, K = 1, iteration = 2153, H = 3.26276e+00\n", - "log(Z): -8.07211e+00, tol = 2.12590e+00, K = 1, iteration = 2154, H = 3.26304e+00\n", - "log(Z): -8.06993e+00, tol = 2.12222e+00, K = 1, iteration = 2155, H = 3.26333e+00\n", - "log(Z): -8.06777e+00, tol = 2.11856e+00, K = 1, iteration = 2156, H = 3.26360e+00\n", - "log(Z): -8.06561e+00, tol = 2.11490e+00, K = 1, iteration = 2157, H = 3.26387e+00\n", - "log(Z): -8.06346e+00, tol = 2.11125e+00, K = 1, iteration = 2158, H = 3.26414e+00\n", - "log(Z): -8.06130e+00, tol = 2.10760e+00, K = 1, iteration = 2159, H = 3.26441e+00\n", - "log(Z): -8.05916e+00, tol = 2.10396e+00, K = 1, iteration = 2160, H = 3.26467e+00\n", - "log(Z): -8.05703e+00, tol = 2.10033e+00, K = 1, iteration = 2161, H = 3.26493e+00\n", - "log(Z): -8.05489e+00, tol = 2.09670e+00, K = 1, iteration = 2162, H = 3.26521e+00\n", - "log(Z): -8.05275e+00, tol = 2.09307e+00, K = 1, iteration = 2163, H = 3.26547e+00\n", - "log(Z): -8.05062e+00, tol = 2.08945e+00, K = 1, iteration = 2164, H = 3.26574e+00\n", - "log(Z): -8.04849e+00, tol = 2.08583e+00, K = 1, iteration = 2165, H = 3.26601e+00\n", - "log(Z): -8.04636e+00, tol = 2.08222e+00, K = 1, iteration = 2166, H = 3.26628e+00\n", - "log(Z): -8.04424e+00, tol = 2.07861e+00, K = 1, iteration = 2167, H = 3.26654e+00\n", - "log(Z): -8.04213e+00, tol = 2.07502e+00, K = 1, iteration = 2168, H = 3.26680e+00\n", - "log(Z): -8.04002e+00, tol = 2.07143e+00, K = 1, iteration = 2169, H = 3.26706e+00\n", - "log(Z): -8.03792e+00, tol = 2.06785e+00, K = 1, iteration = 2170, H = 3.26731e+00\n", - "log(Z): -8.03583e+00, tol = 2.06427e+00, K = 1, iteration = 2171, H = 3.26756e+00\n", - "log(Z): -8.03373e+00, tol = 2.06069e+00, K = 1, iteration = 2172, H = 3.26782e+00\n", - "log(Z): -8.03164e+00, tol = 2.05713e+00, K = 1, iteration = 2173, H = 3.26807e+00\n", - "log(Z): -8.02956e+00, tol = 2.05356e+00, K = 1, iteration = 2174, H = 3.26832e+00\n", - "log(Z): -8.02748e+00, tol = 2.05001e+00, K = 1, iteration = 2175, H = 3.26857e+00\n", - "log(Z): -8.02541e+00, tol = 2.04646e+00, K = 1, iteration = 2176, H = 3.26881e+00\n", - "log(Z): -8.02334e+00, tol = 2.04292e+00, K = 1, iteration = 2177, H = 3.26905e+00\n", - "log(Z): -8.02128e+00, tol = 2.03939e+00, K = 1, iteration = 2178, H = 3.26929e+00\n", - "log(Z): -8.01923e+00, tol = 2.03586e+00, K = 1, iteration = 2179, H = 3.26953e+00\n", - "log(Z): -8.01718e+00, tol = 2.03235e+00, K = 1, iteration = 2180, H = 3.26976e+00\n", - "log(Z): -8.01514e+00, tol = 2.02884e+00, K = 1, iteration = 2181, H = 3.26998e+00\n", - "log(Z): -8.01310e+00, tol = 2.02533e+00, K = 1, iteration = 2182, H = 3.27021e+00\n", - "log(Z): -8.01107e+00, tol = 2.02183e+00, K = 1, iteration = 2183, H = 3.27043e+00\n", - "log(Z): -8.00905e+00, tol = 2.01834e+00, K = 1, iteration = 2184, H = 3.27065e+00\n", - "log(Z): -8.00703e+00, tol = 2.01486e+00, K = 1, iteration = 2185, H = 3.27087e+00\n", - "log(Z): -8.00502e+00, tol = 2.01138e+00, K = 1, iteration = 2186, H = 3.27108e+00\n", - "log(Z): -8.00300e+00, tol = 2.00791e+00, K = 1, iteration = 2187, H = 3.27131e+00\n", - "log(Z): -8.00099e+00, tol = 2.00444e+00, K = 1, iteration = 2188, H = 3.27152e+00\n", - "log(Z): -7.99899e+00, tol = 2.00097e+00, K = 1, iteration = 2189, H = 3.27174e+00\n", - "log(Z): -7.99699e+00, tol = 1.99752e+00, K = 1, iteration = 2190, H = 3.27195e+00\n", - "log(Z): -7.99500e+00, tol = 1.99407e+00, K = 1, iteration = 2191, H = 3.27216e+00\n", - "log(Z): -7.99301e+00, tol = 1.99062e+00, K = 1, iteration = 2192, H = 3.27236e+00\n", - "log(Z): -7.99103e+00, tol = 1.98719e+00, K = 1, iteration = 2193, H = 3.27257e+00\n", - "log(Z): -7.98905e+00, tol = 1.98376e+00, K = 1, iteration = 2194, H = 3.27277e+00\n", - "log(Z): -7.98708e+00, tol = 1.98033e+00, K = 1, iteration = 2195, H = 3.27297e+00\n", - "log(Z): -7.98511e+00, tol = 1.97691e+00, K = 1, iteration = 2196, H = 3.27317e+00\n", - "log(Z): -7.98315e+00, tol = 1.97350e+00, K = 1, iteration = 2197, H = 3.27337e+00\n", - "log(Z): -7.98120e+00, tol = 1.97010e+00, K = 1, iteration = 2198, H = 3.27356e+00\n", - "log(Z): -7.97925e+00, tol = 1.96670e+00, K = 1, iteration = 2199, H = 3.27376e+00\n", - "log(Z): -7.97729e+00, tol = 1.96330e+00, K = 1, iteration = 2200, H = 3.27395e+00\n", - "log(Z): -7.97534e+00, tol = 1.95990e+00, K = 1, iteration = 2201, H = 3.27415e+00\n", - "log(Z): -7.97340e+00, tol = 1.95652e+00, K = 1, iteration = 2202, H = 3.27434e+00\n", - "log(Z): -7.97147e+00, tol = 1.95314e+00, K = 1, iteration = 2203, H = 3.27453e+00\n", - "log(Z): -7.96953e+00, tol = 1.94977e+00, K = 1, iteration = 2204, H = 3.27472e+00\n", - "log(Z): -7.96761e+00, tol = 1.94640e+00, K = 1, iteration = 2205, H = 3.27491e+00\n", - "log(Z): -7.96569e+00, tol = 1.94305e+00, K = 1, iteration = 2206, H = 3.27508e+00\n", - "log(Z): -7.96377e+00, tol = 1.93969e+00, K = 1, iteration = 2207, H = 3.27527e+00\n", - "log(Z): -7.96186e+00, tol = 1.93634e+00, K = 1, iteration = 2208, H = 3.27545e+00\n", - "log(Z): -7.95995e+00, tol = 1.93300e+00, K = 1, iteration = 2209, H = 3.27563e+00\n", - "log(Z): -7.95805e+00, tol = 1.92966e+00, K = 1, iteration = 2210, H = 3.27581e+00\n", - "log(Z): -7.95616e+00, tol = 1.92633e+00, K = 1, iteration = 2211, H = 3.27598e+00\n", - "log(Z): -7.95427e+00, tol = 1.92301e+00, K = 1, iteration = 2212, H = 3.27615e+00\n", - "log(Z): -7.95237e+00, tol = 1.91968e+00, K = 1, iteration = 2213, H = 3.27634e+00\n", - "log(Z): -7.95047e+00, tol = 1.91636e+00, K = 1, iteration = 2214, H = 3.27652e+00\n", - "log(Z): -7.94859e+00, tol = 1.91304e+00, K = 1, iteration = 2215, H = 3.27670e+00\n", - "log(Z): -7.94670e+00, tol = 1.90973e+00, K = 1, iteration = 2216, H = 3.27687e+00\n", - "log(Z): -7.94482e+00, tol = 1.90643e+00, K = 1, iteration = 2217, H = 3.27706e+00\n", - "log(Z): -7.94294e+00, tol = 1.90313e+00, K = 1, iteration = 2218, H = 3.27724e+00\n", - "log(Z): -7.94106e+00, tol = 1.89983e+00, K = 1, iteration = 2219, H = 3.27742e+00\n", - "log(Z): -7.93919e+00, tol = 1.89653e+00, K = 1, iteration = 2220, H = 3.27760e+00\n", - "log(Z): -7.93731e+00, tol = 1.89324e+00, K = 1, iteration = 2221, H = 3.27778e+00\n", - "log(Z): -7.93544e+00, tol = 1.88995e+00, K = 1, iteration = 2222, H = 3.27797e+00\n", - "log(Z): -7.93357e+00, tol = 1.88667e+00, K = 1, iteration = 2223, H = 3.27815e+00\n", - "log(Z): -7.93170e+00, tol = 1.88339e+00, K = 1, iteration = 2224, H = 3.27834e+00\n", - "log(Z): -7.92984e+00, tol = 1.88011e+00, K = 1, iteration = 2225, H = 3.27853e+00\n", - "log(Z): -7.92798e+00, tol = 1.87684e+00, K = 1, iteration = 2226, H = 3.27872e+00\n", - "log(Z): -7.92611e+00, tol = 1.87357e+00, K = 1, iteration = 2227, H = 3.27891e+00\n", - "log(Z): -7.92425e+00, tol = 1.87030e+00, K = 1, iteration = 2228, H = 3.27911e+00\n", - "log(Z): -7.92239e+00, tol = 1.86704e+00, K = 1, iteration = 2229, H = 3.27930e+00\n", - "log(Z): -7.92054e+00, tol = 1.86378e+00, K = 1, iteration = 2230, H = 3.27949e+00\n", - "log(Z): -7.91869e+00, tol = 1.86053e+00, K = 1, iteration = 2231, H = 3.27968e+00\n", - "log(Z): -7.91685e+00, tol = 1.85729e+00, K = 1, iteration = 2232, H = 3.27987e+00\n", - "log(Z): -7.91501e+00, tol = 1.85405e+00, K = 1, iteration = 2233, H = 3.28005e+00\n", - "log(Z): -7.91318e+00, tol = 1.85082e+00, K = 1, iteration = 2234, H = 3.28023e+00\n", - "log(Z): -7.91135e+00, tol = 1.84760e+00, K = 1, iteration = 2235, H = 3.28041e+00\n", - "log(Z): -7.90954e+00, tol = 1.84438e+00, K = 1, iteration = 2236, H = 3.28058e+00\n", - "log(Z): -7.90771e+00, tol = 1.84116e+00, K = 1, iteration = 2237, H = 3.28076e+00\n", - "log(Z): -7.90590e+00, tol = 1.83795e+00, K = 1, iteration = 2238, H = 3.28094e+00\n", - "log(Z): -7.90408e+00, tol = 1.83475e+00, K = 1, iteration = 2239, H = 3.28112e+00\n", - "log(Z): -7.90228e+00, tol = 1.83155e+00, K = 1, iteration = 2240, H = 3.28129e+00\n", - "log(Z): -7.90047e+00, tol = 1.82836e+00, K = 1, iteration = 2241, H = 3.28147e+00\n", - "log(Z): -7.89867e+00, tol = 1.82517e+00, K = 1, iteration = 2242, H = 3.28164e+00\n", - "log(Z): -7.89687e+00, tol = 1.82198e+00, K = 1, iteration = 2243, H = 3.28182e+00\n", - "log(Z): -7.89508e+00, tol = 1.81880e+00, K = 1, iteration = 2244, H = 3.28199e+00\n", - "log(Z): -7.89328e+00, tol = 1.81562e+00, K = 1, iteration = 2245, H = 3.28217e+00\n", - "log(Z): -7.89148e+00, tol = 1.81244e+00, K = 1, iteration = 2246, H = 3.28236e+00\n", - "log(Z): -7.88968e+00, tol = 1.80926e+00, K = 1, iteration = 2247, H = 3.28255e+00\n", - "log(Z): -7.88787e+00, tol = 1.80608e+00, K = 1, iteration = 2248, H = 3.28274e+00\n", - "log(Z): -7.88607e+00, tol = 1.80290e+00, K = 1, iteration = 2249, H = 3.28294e+00\n", - "log(Z): -7.88427e+00, tol = 1.79973e+00, K = 1, iteration = 2250, H = 3.28315e+00\n", - "log(Z): -7.88247e+00, tol = 1.79655e+00, K = 1, iteration = 2251, H = 3.28335e+00\n", - "log(Z): -7.88067e+00, tol = 1.79339e+00, K = 1, iteration = 2252, H = 3.28355e+00\n", - "log(Z): -7.87888e+00, tol = 1.79023e+00, K = 1, iteration = 2253, H = 3.28375e+00\n", - "log(Z): -7.87709e+00, tol = 1.78708e+00, K = 1, iteration = 2254, H = 3.28395e+00\n", - "log(Z): -7.87531e+00, tol = 1.78393e+00, K = 1, iteration = 2255, H = 3.28414e+00\n", - "log(Z): -7.87353e+00, tol = 1.78078e+00, K = 1, iteration = 2256, H = 3.28434e+00\n", - "log(Z): -7.87174e+00, tol = 1.77764e+00, K = 1, iteration = 2257, H = 3.28455e+00\n", - "log(Z): -7.86996e+00, tol = 1.77449e+00, K = 1, iteration = 2258, H = 3.28476e+00\n", - "log(Z): -7.86818e+00, tol = 1.77135e+00, K = 1, iteration = 2259, H = 3.28496e+00\n", - "log(Z): -7.86639e+00, tol = 1.76821e+00, K = 1, iteration = 2260, H = 3.28518e+00\n", - "log(Z): -7.86461e+00, tol = 1.76508e+00, K = 1, iteration = 2261, H = 3.28539e+00\n", - "log(Z): -7.86283e+00, tol = 1.76195e+00, K = 1, iteration = 2262, H = 3.28560e+00\n", - "log(Z): -7.86106e+00, tol = 1.75883e+00, K = 1, iteration = 2263, H = 3.28581e+00\n", - "log(Z): -7.85929e+00, tol = 1.75571e+00, K = 1, iteration = 2264, H = 3.28602e+00\n", - "log(Z): -7.85753e+00, tol = 1.75259e+00, K = 1, iteration = 2265, H = 3.28623e+00\n", - "log(Z): -7.85577e+00, tol = 1.74949e+00, K = 1, iteration = 2266, H = 3.28643e+00\n", - "log(Z): -7.85401e+00, tol = 1.74638e+00, K = 1, iteration = 2267, H = 3.28664e+00\n", - "log(Z): -7.85225e+00, tol = 1.74328e+00, K = 1, iteration = 2268, H = 3.28685e+00\n", - "log(Z): -7.85050e+00, tol = 1.74019e+00, K = 1, iteration = 2269, H = 3.28705e+00\n", - "log(Z): -7.84876e+00, tol = 1.73710e+00, K = 1, iteration = 2270, H = 3.28725e+00\n", - "log(Z): -7.84702e+00, tol = 1.73402e+00, K = 1, iteration = 2271, H = 3.28745e+00\n", - "log(Z): -7.84528e+00, tol = 1.73095e+00, K = 1, iteration = 2272, H = 3.28765e+00\n", - "log(Z): -7.84354e+00, tol = 1.72787e+00, K = 1, iteration = 2273, H = 3.28786e+00\n", - "log(Z): -7.84179e+00, tol = 1.72479e+00, K = 1, iteration = 2274, H = 3.28808e+00\n", - "log(Z): -7.84004e+00, tol = 1.72171e+00, K = 1, iteration = 2275, H = 3.28830e+00\n", - "log(Z): -7.83830e+00, tol = 1.71864e+00, K = 1, iteration = 2276, H = 3.28851e+00\n", - "log(Z): -7.83657e+00, tol = 1.71557e+00, K = 1, iteration = 2277, H = 3.28872e+00\n", - "log(Z): -7.83483e+00, tol = 1.71251e+00, K = 1, iteration = 2278, H = 3.28894e+00\n", - "log(Z): -7.83310e+00, tol = 1.70945e+00, K = 1, iteration = 2279, H = 3.28915e+00\n", - "log(Z): -7.83137e+00, tol = 1.70640e+00, K = 1, iteration = 2280, H = 3.28937e+00\n", - "log(Z): -7.82964e+00, tol = 1.70335e+00, K = 1, iteration = 2281, H = 3.28959e+00\n", - "log(Z): -7.82792e+00, tol = 1.70031e+00, K = 1, iteration = 2282, H = 3.28980e+00\n", - "log(Z): -7.82620e+00, tol = 1.69727e+00, K = 1, iteration = 2283, H = 3.29001e+00\n", - "log(Z): -7.82449e+00, tol = 1.69424e+00, K = 1, iteration = 2284, H = 3.29022e+00\n", - "log(Z): -7.82278e+00, tol = 1.69121e+00, K = 1, iteration = 2285, H = 3.29043e+00\n", - "log(Z): -7.82107e+00, tol = 1.68818e+00, K = 1, iteration = 2286, H = 3.29064e+00\n", - "log(Z): -7.81936e+00, tol = 1.68516e+00, K = 1, iteration = 2287, H = 3.29085e+00\n", - "log(Z): -7.81766e+00, tol = 1.68215e+00, K = 1, iteration = 2288, H = 3.29106e+00\n", - "log(Z): -7.81595e+00, tol = 1.67913e+00, K = 1, iteration = 2289, H = 3.29128e+00\n", - "log(Z): -7.81424e+00, tol = 1.67611e+00, K = 1, iteration = 2290, H = 3.29151e+00\n", - "log(Z): -7.81253e+00, tol = 1.67309e+00, K = 1, iteration = 2291, H = 3.29174e+00\n", - "log(Z): -7.81082e+00, tol = 1.67009e+00, K = 1, iteration = 2292, H = 3.29196e+00\n", - "log(Z): -7.80913e+00, tol = 1.66709e+00, K = 1, iteration = 2293, H = 3.29218e+00\n", - "log(Z): -7.80743e+00, tol = 1.66409e+00, K = 1, iteration = 2294, H = 3.29240e+00\n", - "log(Z): -7.80574e+00, tol = 1.66110e+00, K = 1, iteration = 2295, H = 3.29262e+00\n", - "log(Z): -7.80405e+00, tol = 1.65811e+00, K = 1, iteration = 2296, H = 3.29283e+00\n", - "log(Z): -7.80237e+00, tol = 1.65513e+00, K = 1, iteration = 2297, H = 3.29305e+00\n", - "log(Z): -7.80069e+00, tol = 1.65216e+00, K = 1, iteration = 2298, H = 3.29326e+00\n", - "log(Z): -7.79902e+00, tol = 1.64919e+00, K = 1, iteration = 2299, H = 3.29347e+00\n", - "log(Z): -7.79734e+00, tol = 1.64622e+00, K = 1, iteration = 2300, H = 3.29369e+00\n", - "log(Z): -7.79567e+00, tol = 1.64325e+00, K = 1, iteration = 2301, H = 3.29390e+00\n", - "log(Z): -7.79400e+00, tol = 1.64030e+00, K = 1, iteration = 2302, H = 3.29411e+00\n", - "log(Z): -7.79234e+00, tol = 1.63735e+00, K = 1, iteration = 2303, H = 3.29432e+00\n", - "log(Z): -7.79067e+00, tol = 1.63439e+00, K = 1, iteration = 2304, H = 3.29454e+00\n", - "log(Z): -7.78900e+00, tol = 1.63144e+00, K = 1, iteration = 2305, H = 3.29476e+00\n", - "log(Z): -7.78734e+00, tol = 1.62850e+00, K = 1, iteration = 2306, H = 3.29498e+00\n", - "log(Z): -7.78568e+00, tol = 1.62556e+00, K = 1, iteration = 2307, H = 3.29520e+00\n", - "log(Z): -7.78402e+00, tol = 1.62262e+00, K = 1, iteration = 2308, H = 3.29541e+00\n", - "log(Z): -7.78236e+00, tol = 1.61968e+00, K = 1, iteration = 2309, H = 3.29564e+00\n", - "log(Z): -7.78068e+00, tol = 1.61673e+00, K = 1, iteration = 2310, H = 3.29589e+00\n", - "log(Z): -7.77901e+00, tol = 1.61379e+00, K = 1, iteration = 2311, H = 3.29614e+00\n", - "log(Z): -7.77733e+00, tol = 1.61084e+00, K = 1, iteration = 2312, H = 3.29639e+00\n", - "log(Z): -7.77565e+00, tol = 1.60790e+00, K = 1, iteration = 2313, H = 3.29665e+00\n", - "log(Z): -7.77398e+00, tol = 1.60497e+00, K = 1, iteration = 2314, H = 3.29690e+00\n", - "log(Z): -7.77231e+00, tol = 1.60204e+00, K = 1, iteration = 2315, H = 3.29715e+00\n", - "log(Z): -7.77065e+00, tol = 1.59911e+00, K = 1, iteration = 2316, H = 3.29740e+00\n", - "log(Z): -7.76899e+00, tol = 1.59619e+00, K = 1, iteration = 2317, H = 3.29765e+00\n", - "log(Z): -7.76733e+00, tol = 1.59328e+00, K = 1, iteration = 2318, H = 3.29790e+00\n", - "log(Z): -7.76568e+00, tol = 1.59037e+00, K = 1, iteration = 2319, H = 3.29814e+00\n", - "log(Z): -7.76404e+00, tol = 1.58747e+00, K = 1, iteration = 2320, H = 3.29838e+00\n", - "log(Z): -7.76240e+00, tol = 1.58458e+00, K = 1, iteration = 2321, H = 3.29861e+00\n", - "log(Z): -7.76076e+00, tol = 1.58169e+00, K = 1, iteration = 2322, H = 3.29885e+00\n", - "log(Z): -7.75912e+00, tol = 1.57880e+00, K = 1, iteration = 2323, H = 3.29908e+00\n", - "log(Z): -7.75750e+00, tol = 1.57592e+00, K = 1, iteration = 2324, H = 3.29931e+00\n", - "log(Z): -7.75587e+00, tol = 1.57305e+00, K = 1, iteration = 2325, H = 3.29955e+00\n", - "log(Z): -7.75425e+00, tol = 1.57018e+00, K = 1, iteration = 2326, H = 3.29977e+00\n", - "log(Z): -7.75264e+00, tol = 1.56732e+00, K = 1, iteration = 2327, H = 3.30000e+00\n", - "log(Z): -7.75102e+00, tol = 1.56446e+00, K = 1, iteration = 2328, H = 3.30022e+00\n", - "log(Z): -7.74941e+00, tol = 1.56161e+00, K = 1, iteration = 2329, H = 3.30045e+00\n", - "log(Z): -7.74781e+00, tol = 1.55876e+00, K = 1, iteration = 2330, H = 3.30067e+00\n", - "log(Z): -7.74620e+00, tol = 1.55591e+00, K = 1, iteration = 2331, H = 3.30090e+00\n", - "log(Z): -7.74459e+00, tol = 1.55306e+00, K = 1, iteration = 2332, H = 3.30113e+00\n", - "log(Z): -7.74298e+00, tol = 1.55022e+00, K = 1, iteration = 2333, H = 3.30137e+00\n", - "log(Z): -7.74138e+00, tol = 1.54738e+00, K = 1, iteration = 2334, H = 3.30160e+00\n", - "log(Z): -7.73978e+00, tol = 1.54455e+00, K = 1, iteration = 2335, H = 3.30183e+00\n", - "log(Z): -7.73818e+00, tol = 1.54172e+00, K = 1, iteration = 2336, H = 3.30206e+00\n", - "log(Z): -7.73659e+00, tol = 1.53890e+00, K = 1, iteration = 2337, H = 3.30229e+00\n", - "log(Z): -7.73500e+00, tol = 1.53608e+00, K = 1, iteration = 2338, H = 3.30251e+00\n", - "log(Z): -7.73341e+00, tol = 1.53326e+00, K = 1, iteration = 2339, H = 3.30275e+00\n", - "log(Z): -7.73182e+00, tol = 1.53045e+00, K = 1, iteration = 2340, H = 3.30298e+00\n", - "log(Z): -7.73023e+00, tol = 1.52764e+00, K = 1, iteration = 2341, H = 3.30321e+00\n", - "log(Z): -7.72865e+00, tol = 1.52484e+00, K = 1, iteration = 2342, H = 3.30344e+00\n", - "log(Z): -7.72708e+00, tol = 1.52204e+00, K = 1, iteration = 2343, H = 3.30366e+00\n", - "log(Z): -7.72550e+00, tol = 1.51925e+00, K = 1, iteration = 2344, H = 3.30389e+00\n", - "log(Z): -7.72393e+00, tol = 1.51646e+00, K = 1, iteration = 2345, H = 3.30412e+00\n", - "log(Z): -7.72236e+00, tol = 1.51368e+00, K = 1, iteration = 2346, H = 3.30434e+00\n", - "log(Z): -7.72080e+00, tol = 1.51090e+00, K = 1, iteration = 2347, H = 3.30457e+00\n", - "log(Z): -7.71924e+00, tol = 1.50812e+00, K = 1, iteration = 2348, H = 3.30479e+00\n", - "log(Z): -7.71767e+00, tol = 1.50535e+00, K = 1, iteration = 2349, H = 3.30502e+00\n", - "log(Z): -7.71612e+00, tol = 1.50258e+00, K = 1, iteration = 2350, H = 3.30524e+00\n", - "log(Z): -7.71456e+00, tol = 1.49982e+00, K = 1, iteration = 2351, H = 3.30546e+00\n", - "log(Z): -7.71302e+00, tol = 1.49707e+00, K = 1, iteration = 2352, H = 3.30568e+00\n", - "log(Z): -7.71146e+00, tol = 1.49431e+00, K = 1, iteration = 2353, H = 3.30591e+00\n", - "log(Z): -7.70989e+00, tol = 1.49154e+00, K = 1, iteration = 2354, H = 3.30616e+00\n", - "log(Z): -7.70831e+00, tol = 1.48877e+00, K = 1, iteration = 2355, H = 3.30642e+00\n", - "log(Z): -7.70674e+00, tol = 1.48601e+00, K = 1, iteration = 2356, H = 3.30667e+00\n", - "log(Z): -7.70518e+00, tol = 1.48325e+00, K = 1, iteration = 2357, H = 3.30693e+00\n", - "log(Z): -7.70361e+00, tol = 1.48049e+00, K = 1, iteration = 2358, H = 3.30718e+00\n", - "log(Z): -7.70205e+00, tol = 1.47774e+00, K = 1, iteration = 2359, H = 3.30744e+00\n", - "log(Z): -7.70050e+00, tol = 1.47500e+00, K = 1, iteration = 2360, H = 3.30768e+00\n", - "log(Z): -7.69894e+00, tol = 1.47226e+00, K = 1, iteration = 2361, H = 3.30793e+00\n", - "log(Z): -7.69740e+00, tol = 1.46953e+00, K = 1, iteration = 2362, H = 3.30817e+00\n", - "log(Z): -7.69586e+00, tol = 1.46681e+00, K = 1, iteration = 2363, H = 3.30841e+00\n", - "log(Z): -7.69431e+00, tol = 1.46408e+00, K = 1, iteration = 2364, H = 3.30866e+00\n", - "log(Z): -7.69277e+00, tol = 1.46136e+00, K = 1, iteration = 2365, H = 3.30891e+00\n", - "log(Z): -7.69123e+00, tol = 1.45864e+00, K = 1, iteration = 2366, H = 3.30916e+00\n", - "log(Z): -7.68970e+00, tol = 1.45593e+00, K = 1, iteration = 2367, H = 3.30940e+00\n", - "log(Z): -7.68816e+00, tol = 1.45322e+00, K = 1, iteration = 2368, H = 3.30965e+00\n", - "log(Z): -7.68663e+00, tol = 1.45051e+00, K = 1, iteration = 2369, H = 3.30989e+00\n", - "log(Z): -7.68510e+00, tol = 1.44781e+00, K = 1, iteration = 2370, H = 3.31014e+00\n", - "log(Z): -7.68358e+00, tol = 1.44512e+00, K = 1, iteration = 2371, H = 3.31038e+00\n", - "log(Z): -7.68206e+00, tol = 1.44243e+00, K = 1, iteration = 2372, H = 3.31062e+00\n", - "log(Z): -7.68054e+00, tol = 1.43975e+00, K = 1, iteration = 2373, H = 3.31086e+00\n", - "log(Z): -7.67903e+00, tol = 1.43707e+00, K = 1, iteration = 2374, H = 3.31109e+00\n", - "log(Z): -7.67753e+00, tol = 1.43440e+00, K = 1, iteration = 2375, H = 3.31132e+00\n", - "log(Z): -7.67602e+00, tol = 1.43173e+00, K = 1, iteration = 2376, H = 3.31156e+00\n", - "log(Z): -7.67452e+00, tol = 1.42907e+00, K = 1, iteration = 2377, H = 3.31178e+00\n", - "log(Z): -7.67303e+00, tol = 1.42641e+00, K = 1, iteration = 2378, H = 3.31201e+00\n", - "log(Z): -7.67154e+00, tol = 1.42376e+00, K = 1, iteration = 2379, H = 3.31223e+00\n", - "log(Z): -7.67006e+00, tol = 1.42112e+00, K = 1, iteration = 2380, H = 3.31245e+00\n", - "log(Z): -7.66858e+00, tol = 1.41848e+00, K = 1, iteration = 2381, H = 3.31267e+00\n", - "log(Z): -7.66710e+00, tol = 1.41585e+00, K = 1, iteration = 2382, H = 3.31289e+00\n", - "log(Z): -7.66562e+00, tol = 1.41321e+00, K = 1, iteration = 2383, H = 3.31311e+00\n", - "log(Z): -7.66415e+00, tol = 1.41059e+00, K = 1, iteration = 2384, H = 3.31332e+00\n", - "log(Z): -7.66268e+00, tol = 1.40797e+00, K = 1, iteration = 2385, H = 3.31354e+00\n", - "log(Z): -7.66121e+00, tol = 1.40535e+00, K = 1, iteration = 2386, H = 3.31376e+00\n", - "log(Z): -7.65974e+00, tol = 1.40273e+00, K = 1, iteration = 2387, H = 3.31398e+00\n", - "log(Z): -7.65828e+00, tol = 1.40012e+00, K = 1, iteration = 2388, H = 3.31420e+00\n", - "log(Z): -7.65681e+00, tol = 1.39751e+00, K = 1, iteration = 2389, H = 3.31443e+00\n", - "log(Z): -7.65534e+00, tol = 1.39490e+00, K = 1, iteration = 2390, H = 3.31465e+00\n", - "log(Z): -7.65388e+00, tol = 1.39229e+00, K = 1, iteration = 2391, H = 3.31488e+00\n", - "log(Z): -7.65242e+00, tol = 1.38970e+00, K = 1, iteration = 2392, H = 3.31510e+00\n", - "log(Z): -7.65097e+00, tol = 1.38710e+00, K = 1, iteration = 2393, H = 3.31532e+00\n", - "log(Z): -7.64952e+00, tol = 1.38451e+00, K = 1, iteration = 2394, H = 3.31554e+00\n", - "log(Z): -7.64807e+00, tol = 1.38193e+00, K = 1, iteration = 2395, H = 3.31576e+00\n", - "log(Z): -7.64662e+00, tol = 1.37935e+00, K = 1, iteration = 2396, H = 3.31598e+00\n", - "log(Z): -7.64517e+00, tol = 1.37677e+00, K = 1, iteration = 2397, H = 3.31620e+00\n", - "log(Z): -7.64373e+00, tol = 1.37420e+00, K = 1, iteration = 2398, H = 3.31641e+00\n", - "log(Z): -7.64229e+00, tol = 1.37163e+00, K = 1, iteration = 2399, H = 3.31664e+00\n", - "log(Z): -7.64085e+00, tol = 1.36906e+00, K = 1, iteration = 2400, H = 3.31686e+00\n", - "log(Z): -7.63941e+00, tol = 1.36650e+00, K = 1, iteration = 2401, H = 3.31708e+00\n", - "log(Z): -7.63797e+00, tol = 1.36394e+00, K = 1, iteration = 2402, H = 3.31730e+00\n", - "log(Z): -7.63655e+00, tol = 1.36139e+00, K = 1, iteration = 2403, H = 3.31752e+00\n", - "log(Z): -7.63512e+00, tol = 1.35884e+00, K = 1, iteration = 2404, H = 3.31774e+00\n", - "log(Z): -7.63369e+00, tol = 1.35630e+00, K = 1, iteration = 2405, H = 3.31795e+00\n", - "log(Z): -7.63227e+00, tol = 1.35376e+00, K = 1, iteration = 2406, H = 3.31817e+00\n", - "log(Z): -7.63085e+00, tol = 1.35123e+00, K = 1, iteration = 2407, H = 3.31838e+00\n", - "log(Z): -7.62944e+00, tol = 1.34870e+00, K = 1, iteration = 2408, H = 3.31859e+00\n", - "log(Z): -7.62803e+00, tol = 1.34617e+00, K = 1, iteration = 2409, H = 3.31881e+00\n", - "log(Z): -7.62661e+00, tol = 1.34365e+00, K = 1, iteration = 2410, H = 3.31902e+00\n", - "log(Z): -7.62520e+00, tol = 1.34113e+00, K = 1, iteration = 2411, H = 3.31924e+00\n", - "log(Z): -7.62380e+00, tol = 1.33861e+00, K = 1, iteration = 2412, H = 3.31945e+00\n", - "log(Z): -7.62239e+00, tol = 1.33610e+00, K = 1, iteration = 2413, H = 3.31967e+00\n", - "log(Z): -7.62099e+00, tol = 1.33359e+00, K = 1, iteration = 2414, H = 3.31988e+00\n", - "log(Z): -7.61959e+00, tol = 1.33109e+00, K = 1, iteration = 2415, H = 3.32010e+00\n", - "log(Z): -7.61819e+00, tol = 1.32859e+00, K = 1, iteration = 2416, H = 3.32031e+00\n", - "log(Z): -7.61680e+00, tol = 1.32610e+00, K = 1, iteration = 2417, H = 3.32052e+00\n", - "log(Z): -7.61541e+00, tol = 1.32361e+00, K = 1, iteration = 2418, H = 3.32073e+00\n", - "log(Z): -7.61402e+00, tol = 1.32113e+00, K = 1, iteration = 2419, H = 3.32094e+00\n", - "log(Z): -7.61264e+00, tol = 1.31865e+00, K = 1, iteration = 2420, H = 3.32114e+00\n", - "log(Z): -7.61126e+00, tol = 1.31617e+00, K = 1, iteration = 2421, H = 3.32135e+00\n", - "log(Z): -7.60988e+00, tol = 1.31370e+00, K = 1, iteration = 2422, H = 3.32156e+00\n", - "log(Z): -7.60850e+00, tol = 1.31123e+00, K = 1, iteration = 2423, H = 3.32176e+00\n", - "log(Z): -7.60712e+00, tol = 1.30877e+00, K = 1, iteration = 2424, H = 3.32197e+00\n", - "log(Z): -7.60574e+00, tol = 1.30630e+00, K = 1, iteration = 2425, H = 3.32218e+00\n", - "log(Z): -7.60437e+00, tol = 1.30384e+00, K = 1, iteration = 2426, H = 3.32240e+00\n", - "log(Z): -7.60300e+00, tol = 1.30139e+00, K = 1, iteration = 2427, H = 3.32261e+00\n", - "log(Z): -7.60163e+00, tol = 1.29894e+00, K = 1, iteration = 2428, H = 3.32282e+00\n", - "log(Z): -7.60026e+00, tol = 1.29649e+00, K = 1, iteration = 2429, H = 3.32303e+00\n", - "log(Z): -7.59889e+00, tol = 1.29404e+00, K = 1, iteration = 2430, H = 3.32324e+00\n", - "log(Z): -7.59753e+00, tol = 1.29160e+00, K = 1, iteration = 2431, H = 3.32345e+00\n", - "log(Z): -7.59616e+00, tol = 1.28916e+00, K = 1, iteration = 2432, H = 3.32367e+00\n", - "log(Z): -7.59479e+00, tol = 1.28672e+00, K = 1, iteration = 2433, H = 3.32389e+00\n", - "log(Z): -7.59343e+00, tol = 1.28429e+00, K = 1, iteration = 2434, H = 3.32411e+00\n", - "log(Z): -7.59207e+00, tol = 1.28186e+00, K = 1, iteration = 2435, H = 3.32433e+00\n", - "log(Z): -7.59071e+00, tol = 1.27943e+00, K = 1, iteration = 2436, H = 3.32455e+00\n", - "log(Z): -7.58935e+00, tol = 1.27701e+00, K = 1, iteration = 2437, H = 3.32477e+00\n", - "log(Z): -7.58800e+00, tol = 1.27459e+00, K = 1, iteration = 2438, H = 3.32498e+00\n", - "log(Z): -7.58665e+00, tol = 1.27218e+00, K = 1, iteration = 2439, H = 3.32519e+00\n", - "log(Z): -7.58530e+00, tol = 1.26977e+00, K = 1, iteration = 2440, H = 3.32541e+00\n", - "log(Z): -7.58396e+00, tol = 1.26737e+00, K = 1, iteration = 2441, H = 3.32562e+00\n", - "log(Z): -7.58262e+00, tol = 1.26497e+00, K = 1, iteration = 2442, H = 3.32583e+00\n", - "log(Z): -7.58128e+00, tol = 1.26258e+00, K = 1, iteration = 2443, H = 3.32604e+00\n", - "log(Z): -7.57995e+00, tol = 1.26019e+00, K = 1, iteration = 2444, H = 3.32625e+00\n", - "log(Z): -7.57861e+00, tol = 1.25780e+00, K = 1, iteration = 2445, H = 3.32646e+00\n", - "log(Z): -7.57728e+00, tol = 1.25542e+00, K = 1, iteration = 2446, H = 3.32667e+00\n", - "log(Z): -7.57595e+00, tol = 1.25304e+00, K = 1, iteration = 2447, H = 3.32688e+00\n", - "log(Z): -7.57463e+00, tol = 1.25066e+00, K = 1, iteration = 2448, H = 3.32708e+00\n", - "log(Z): -7.57330e+00, tol = 1.24829e+00, K = 1, iteration = 2449, H = 3.32730e+00\n", - "log(Z): -7.57197e+00, tol = 1.24592e+00, K = 1, iteration = 2450, H = 3.32751e+00\n", - "log(Z): -7.57064e+00, tol = 1.24355e+00, K = 1, iteration = 2451, H = 3.32773e+00\n", - "log(Z): -7.56931e+00, tol = 1.24118e+00, K = 1, iteration = 2452, H = 3.32795e+00\n", - "log(Z): -7.56799e+00, tol = 1.23882e+00, K = 1, iteration = 2453, H = 3.32817e+00\n", - "log(Z): -7.56667e+00, tol = 1.23646e+00, K = 1, iteration = 2454, H = 3.32839e+00\n", - "log(Z): -7.56534e+00, tol = 1.23410e+00, K = 1, iteration = 2455, H = 3.32861e+00\n", - "log(Z): -7.56402e+00, tol = 1.23175e+00, K = 1, iteration = 2456, H = 3.32883e+00\n", - "log(Z): -7.56271e+00, tol = 1.22940e+00, K = 1, iteration = 2457, H = 3.32905e+00\n", - "log(Z): -7.56139e+00, tol = 1.22706e+00, K = 1, iteration = 2458, H = 3.32927e+00\n", - "log(Z): -7.56008e+00, tol = 1.22472e+00, K = 1, iteration = 2459, H = 3.32949e+00\n", - "log(Z): -7.55877e+00, tol = 1.22238e+00, K = 1, iteration = 2460, H = 3.32970e+00\n", - "log(Z): -7.55747e+00, tol = 1.22005e+00, K = 1, iteration = 2461, H = 3.32991e+00\n", - "log(Z): -7.55617e+00, tol = 1.21773e+00, K = 1, iteration = 2462, H = 3.33013e+00\n", - "log(Z): -7.55486e+00, tol = 1.21540e+00, K = 1, iteration = 2463, H = 3.33034e+00\n", - "log(Z): -7.55356e+00, tol = 1.21308e+00, K = 1, iteration = 2464, H = 3.33056e+00\n", - "log(Z): -7.55226e+00, tol = 1.21077e+00, K = 1, iteration = 2465, H = 3.33077e+00\n", - "log(Z): -7.55097e+00, tol = 1.20845e+00, K = 1, iteration = 2466, H = 3.33099e+00\n", - "log(Z): -7.54968e+00, tol = 1.20614e+00, K = 1, iteration = 2467, H = 3.33120e+00\n", - "log(Z): -7.54839e+00, tol = 1.20384e+00, K = 1, iteration = 2468, H = 3.33142e+00\n", - "log(Z): -7.54710e+00, tol = 1.20154e+00, K = 1, iteration = 2469, H = 3.33163e+00\n", - "log(Z): -7.54582e+00, tol = 1.19925e+00, K = 1, iteration = 2470, H = 3.33184e+00\n", - "log(Z): -7.54453e+00, tol = 1.19696e+00, K = 1, iteration = 2471, H = 3.33205e+00\n", - "log(Z): -7.54325e+00, tol = 1.19467e+00, K = 1, iteration = 2472, H = 3.33226e+00\n", - "log(Z): -7.54198e+00, tol = 1.19238e+00, K = 1, iteration = 2473, H = 3.33247e+00\n", - "log(Z): -7.54070e+00, tol = 1.19010e+00, K = 1, iteration = 2474, H = 3.33268e+00\n", - "log(Z): -7.53943e+00, tol = 1.18783e+00, K = 1, iteration = 2475, H = 3.33289e+00\n", - "log(Z): -7.53816e+00, tol = 1.18555e+00, K = 1, iteration = 2476, H = 3.33310e+00\n", - "log(Z): -7.53689e+00, tol = 1.18329e+00, K = 1, iteration = 2477, H = 3.33330e+00\n", - "log(Z): -7.53563e+00, tol = 1.18103e+00, K = 1, iteration = 2478, H = 3.33351e+00\n", - "log(Z): -7.53437e+00, tol = 1.17877e+00, K = 1, iteration = 2479, H = 3.33371e+00\n", - "log(Z): -7.53311e+00, tol = 1.17651e+00, K = 1, iteration = 2480, H = 3.33392e+00\n", - "log(Z): -7.53185e+00, tol = 1.17426e+00, K = 1, iteration = 2481, H = 3.33412e+00\n", - "log(Z): -7.53059e+00, tol = 1.17201e+00, K = 1, iteration = 2482, H = 3.33433e+00\n", - "log(Z): -7.52934e+00, tol = 1.16976e+00, K = 1, iteration = 2483, H = 3.33453e+00\n", - "log(Z): -7.52809e+00, tol = 1.16752e+00, K = 1, iteration = 2484, H = 3.33474e+00\n", - "log(Z): -7.52684e+00, tol = 1.16528e+00, K = 1, iteration = 2485, H = 3.33495e+00\n", - "log(Z): -7.52559e+00, tol = 1.16305e+00, K = 1, iteration = 2486, H = 3.33515e+00\n", - "log(Z): -7.52434e+00, tol = 1.16082e+00, K = 1, iteration = 2487, H = 3.33536e+00\n", - "log(Z): -7.52309e+00, tol = 1.15859e+00, K = 1, iteration = 2488, H = 3.33557e+00\n", - "log(Z): -7.52185e+00, tol = 1.15636e+00, K = 1, iteration = 2489, H = 3.33578e+00\n", - "log(Z): -7.52061e+00, tol = 1.15414e+00, K = 1, iteration = 2490, H = 3.33598e+00\n", - "log(Z): -7.51937e+00, tol = 1.15193e+00, K = 1, iteration = 2491, H = 3.33619e+00\n", - "log(Z): -7.51813e+00, tol = 1.14972e+00, K = 1, iteration = 2492, H = 3.33639e+00\n", - "log(Z): -7.51690e+00, tol = 1.14751e+00, K = 1, iteration = 2493, H = 3.33659e+00\n", - "log(Z): -7.51567e+00, tol = 1.14531e+00, K = 1, iteration = 2494, H = 3.33679e+00\n", - "log(Z): -7.51445e+00, tol = 1.14311e+00, K = 1, iteration = 2495, H = 3.33699e+00\n", - "log(Z): -7.51323e+00, tol = 1.14092e+00, K = 1, iteration = 2496, H = 3.33718e+00\n", - "log(Z): -7.51201e+00, tol = 1.13873e+00, K = 1, iteration = 2497, H = 3.33738e+00\n", - "log(Z): -7.51079e+00, tol = 1.13654e+00, K = 1, iteration = 2498, H = 3.33758e+00\n", - "log(Z): -7.50958e+00, tol = 1.13436e+00, K = 1, iteration = 2499, H = 3.33777e+00\n", - "log(Z): -7.50836e+00, tol = 1.13218e+00, K = 1, iteration = 2500, H = 3.33797e+00\n", - "log(Z): -7.50715e+00, tol = 1.13001e+00, K = 1, iteration = 2501, H = 3.33816e+00\n", - "log(Z): -7.50594e+00, tol = 1.12783e+00, K = 1, iteration = 2502, H = 3.33836e+00\n", - "log(Z): -7.50474e+00, tol = 1.12567e+00, K = 1, iteration = 2503, H = 3.33855e+00\n", - "log(Z): -7.50353e+00, tol = 1.12350e+00, K = 1, iteration = 2504, H = 3.33875e+00\n", - "log(Z): -7.50233e+00, tol = 1.12134e+00, K = 1, iteration = 2505, H = 3.33894e+00\n", - "log(Z): -7.50113e+00, tol = 1.11919e+00, K = 1, iteration = 2506, H = 3.33913e+00\n", - "log(Z): -7.49994e+00, tol = 1.11704e+00, K = 1, iteration = 2507, H = 3.33932e+00\n", - "log(Z): -7.49874e+00, tol = 1.11489e+00, K = 1, iteration = 2508, H = 3.33951e+00\n", - "log(Z): -7.49755e+00, tol = 1.11275e+00, K = 1, iteration = 2509, H = 3.33971e+00\n", - "log(Z): -7.49636e+00, tol = 1.11061e+00, K = 1, iteration = 2510, H = 3.33989e+00\n", - "log(Z): -7.49518e+00, tol = 1.10847e+00, K = 1, iteration = 2511, H = 3.34008e+00\n", - "log(Z): -7.49399e+00, tol = 1.10634e+00, K = 1, iteration = 2512, H = 3.34027e+00\n", - "log(Z): -7.49281e+00, tol = 1.10421e+00, K = 1, iteration = 2513, H = 3.34046e+00\n", - "log(Z): -7.49162e+00, tol = 1.10208e+00, K = 1, iteration = 2514, H = 3.34065e+00\n", - "log(Z): -7.49044e+00, tol = 1.09996e+00, K = 1, iteration = 2515, H = 3.34084e+00\n", - "log(Z): -7.48926e+00, tol = 1.09784e+00, K = 1, iteration = 2516, H = 3.34103e+00\n", - "log(Z): -7.48809e+00, tol = 1.09572e+00, K = 1, iteration = 2517, H = 3.34122e+00\n", - "log(Z): -7.48691e+00, tol = 1.09361e+00, K = 1, iteration = 2518, H = 3.34141e+00\n", - "log(Z): -7.48574e+00, tol = 1.09150e+00, K = 1, iteration = 2519, H = 3.34160e+00\n", - "log(Z): -7.48457e+00, tol = 1.08940e+00, K = 1, iteration = 2520, H = 3.34179e+00\n", - "log(Z): -7.48340e+00, tol = 1.08730e+00, K = 1, iteration = 2521, H = 3.34197e+00\n", - "log(Z): -7.48224e+00, tol = 1.08520e+00, K = 1, iteration = 2522, H = 3.34216e+00\n", - "log(Z): -7.48107e+00, tol = 1.08310e+00, K = 1, iteration = 2523, H = 3.34235e+00\n", - "log(Z): -7.47991e+00, tol = 1.08101e+00, K = 1, iteration = 2524, H = 3.34254e+00\n", - "log(Z): -7.47875e+00, tol = 1.07892e+00, K = 1, iteration = 2525, H = 3.34273e+00\n", - "log(Z): -7.47758e+00, tol = 1.07684e+00, K = 1, iteration = 2526, H = 3.34293e+00\n", - "log(Z): -7.47642e+00, tol = 1.07476e+00, K = 1, iteration = 2527, H = 3.34312e+00\n", - "log(Z): -7.47526e+00, tol = 1.07268e+00, K = 1, iteration = 2528, H = 3.34331e+00\n", - "log(Z): -7.47411e+00, tol = 1.07060e+00, K = 1, iteration = 2529, H = 3.34350e+00\n", - "log(Z): -7.47296e+00, tol = 1.06853e+00, K = 1, iteration = 2530, H = 3.34369e+00\n", - "log(Z): -7.47181e+00, tol = 1.06647e+00, K = 1, iteration = 2531, H = 3.34387e+00\n", - "log(Z): -7.47066e+00, tol = 1.06440e+00, K = 1, iteration = 2532, H = 3.34406e+00\n", - "log(Z): -7.46952e+00, tol = 1.06234e+00, K = 1, iteration = 2533, H = 3.34425e+00\n", - "log(Z): -7.46837e+00, tol = 1.06029e+00, K = 1, iteration = 2534, H = 3.34444e+00\n", - "log(Z): -7.46723e+00, tol = 1.05824e+00, K = 1, iteration = 2535, H = 3.34462e+00\n", - "log(Z): -7.46609e+00, tol = 1.05619e+00, K = 1, iteration = 2536, H = 3.34481e+00\n", - "log(Z): -7.46495e+00, tol = 1.05414e+00, K = 1, iteration = 2537, H = 3.34500e+00\n", - "log(Z): -7.46382e+00, tol = 1.05210e+00, K = 1, iteration = 2538, H = 3.34518e+00\n", - "log(Z): -7.46268e+00, tol = 1.05006e+00, K = 1, iteration = 2539, H = 3.34537e+00\n", - "log(Z): -7.46155e+00, tol = 1.04802e+00, K = 1, iteration = 2540, H = 3.34556e+00\n", - "log(Z): -7.46042e+00, tol = 1.04599e+00, K = 1, iteration = 2541, H = 3.34575e+00\n", - "log(Z): -7.45929e+00, tol = 1.04396e+00, K = 1, iteration = 2542, H = 3.34593e+00\n", - "log(Z): -7.45816e+00, tol = 1.04194e+00, K = 1, iteration = 2543, H = 3.34612e+00\n", - "log(Z): -7.45704e+00, tol = 1.03992e+00, K = 1, iteration = 2544, H = 3.34630e+00\n", - "log(Z): -7.45592e+00, tol = 1.03790e+00, K = 1, iteration = 2545, H = 3.34649e+00\n", - "log(Z): -7.45480e+00, tol = 1.03589e+00, K = 1, iteration = 2546, H = 3.34667e+00\n", - "log(Z): -7.45368e+00, tol = 1.03388e+00, K = 1, iteration = 2547, H = 3.34686e+00\n", - "log(Z): -7.45256e+00, tol = 1.03187e+00, K = 1, iteration = 2548, H = 3.34705e+00\n", - "log(Z): -7.45144e+00, tol = 1.02986e+00, K = 1, iteration = 2549, H = 3.34723e+00\n", - "log(Z): -7.45033e+00, tol = 1.02786e+00, K = 1, iteration = 2550, H = 3.34742e+00\n", - "log(Z): -7.44922e+00, tol = 1.02586e+00, K = 1, iteration = 2551, H = 3.34760e+00\n", - "log(Z): -7.44811e+00, tol = 1.02387e+00, K = 1, iteration = 2552, H = 3.34779e+00\n", - "log(Z): -7.44700e+00, tol = 1.02188e+00, K = 1, iteration = 2553, H = 3.34797e+00\n", - "log(Z): -7.44590e+00, tol = 1.01990e+00, K = 1, iteration = 2554, H = 3.34815e+00\n", - "log(Z): -7.44479e+00, tol = 1.01791e+00, K = 1, iteration = 2555, H = 3.34833e+00\n", - "log(Z): -7.44369e+00, tol = 1.01593e+00, K = 1, iteration = 2556, H = 3.34852e+00\n", - "log(Z): -7.44259e+00, tol = 1.01396e+00, K = 1, iteration = 2557, H = 3.34870e+00\n", - "log(Z): -7.44149e+00, tol = 1.01198e+00, K = 1, iteration = 2558, H = 3.34888e+00\n", - "log(Z): -7.44040e+00, tol = 1.01002e+00, K = 1, iteration = 2559, H = 3.34906e+00\n", - "log(Z): -7.43930e+00, tol = 1.00805e+00, K = 1, iteration = 2560, H = 3.34925e+00\n", - "log(Z): -7.43821e+00, tol = 1.00608e+00, K = 1, iteration = 2561, H = 3.34943e+00\n", - "log(Z): -7.43712e+00, tol = 1.00413e+00, K = 1, iteration = 2562, H = 3.34961e+00\n", - "log(Z): -7.43603e+00, tol = 1.00217e+00, K = 1, iteration = 2563, H = 3.34979e+00\n", - "log(Z): -7.43495e+00, tol = 1.00022e+00, K = 1, iteration = 2564, H = 3.34997e+00\n", - "log(Z): -7.43387e+00, tol = 9.98272e-01, K = 1, iteration = 2565, H = 3.35015e+00\n", - "Elapsed time is 1.325 seconds\n", + "log(Z): -7.16104e+01, tol = 6.98054e+01, K = 1, iteration = 1, H = -nan\n", + "log(Z): -7.06250e+01, tol = 6.88180e+01, K = 1, iteration = 2, H = 3.23599e+00\n", + "log(Z): -6.94628e+01, tol = 6.76538e+01, K = 1, iteration = 3, H = 4.66504e+00\n", + "log(Z): -6.88422e+01, tol = 6.70312e+01, K = 1, iteration = 4, H = 4.69445e+00\n", + "log(Z): -6.39816e+01, tol = 6.21686e+01, K = 1, iteration = 5, H = 6.16640e+00\n", + "log(Z): -6.29837e+01, tol = 6.11687e+01, K = 1, iteration = 6, H = 5.54555e+00\n", + "log(Z): -6.21650e+01, tol = 6.03481e+01, K = 1, iteration = 7, H = 5.24064e+00\n", + "log(Z): -6.09968e+01, tol = 5.91778e+01, K = 1, iteration = 8, H = 5.30228e+00\n", + "log(Z): -5.93002e+01, tol = 5.74792e+01, K = 1, iteration = 9, H = 5.58492e+00\n", + "log(Z): -5.84434e+01, tol = 5.66204e+01, K = 1, iteration = 10, H = 5.27649e+00\n", + "log(Z): -5.77264e+01, tol = 5.59014e+01, K = 1, iteration = 11, H = 5.07451e+00\n", + "log(Z): -5.65044e+01, tol = 5.46774e+01, K = 1, iteration = 12, H = 5.28867e+00\n", + "log(Z): -5.59357e+01, tol = 5.41067e+01, K = 1, iteration = 13, H = 5.01676e+00\n", + "log(Z): -5.45097e+01, tol = 5.26787e+01, K = 1, iteration = 14, H = 5.39596e+00\n", + "log(Z): -5.35224e+01, tol = 5.16894e+01, K = 1, iteration = 15, H = 5.26748e+00\n", + "log(Z): -5.27293e+01, tol = 5.08943e+01, K = 1, iteration = 16, H = 5.11441e+00\n", + "log(Z): -5.17430e+01, tol = 4.99060e+01, K = 1, iteration = 17, H = 5.16449e+00\n", + "log(Z): -5.07905e+01, tol = 4.89515e+01, K = 1, iteration = 18, H = 5.16419e+00\n", + "log(Z): -4.97794e+01, tol = 4.79385e+01, K = 1, iteration = 19, H = 5.20036e+00\n", + "log(Z): -4.91386e+01, tol = 4.72956e+01, K = 1, iteration = 20, H = 5.00699e+00\n", + "log(Z): -4.86684e+01, tol = 4.68235e+01, K = 1, iteration = 21, H = 4.81374e+00\n", + "log(Z): -4.83054e+01, tol = 4.64584e+01, K = 1, iteration = 22, H = 4.63872e+00\n", + "log(Z): -4.80180e+01, tol = 4.61690e+01, K = 1, iteration = 23, H = 4.48149e+00\n", + "log(Z): -4.76536e+01, tol = 4.58027e+01, K = 1, iteration = 24, H = 4.40975e+00\n", + "log(Z): -4.73167e+01, tol = 4.54638e+01, K = 1, iteration = 25, H = 4.34144e+00\n", + "log(Z): -4.70563e+01, tol = 4.52013e+01, K = 1, iteration = 26, H = 4.24423e+00\n", + "log(Z): -4.68331e+01, tol = 4.49762e+01, K = 1, iteration = 27, H = 4.14850e+00\n", + "log(Z): -4.66075e+01, tol = 4.47485e+01, K = 1, iteration = 28, H = 4.07382e+00\n", + "log(Z): -4.62590e+01, tol = 4.43980e+01, K = 1, iteration = 29, H = 4.11456e+00\n", + "log(Z): -4.59649e+01, tol = 4.41019e+01, K = 1, iteration = 30, H = 4.09717e+00\n", + "log(Z): -4.56511e+01, tol = 4.37861e+01, K = 1, iteration = 31, H = 4.10126e+00\n", + "log(Z): -4.51133e+01, tol = 4.32463e+01, K = 1, iteration = 32, H = 4.32759e+00\n", + "log(Z): -4.46854e+01, tol = 4.28164e+01, K = 1, iteration = 33, H = 4.36087e+00\n", + "log(Z): -4.42422e+01, tol = 4.23712e+01, K = 1, iteration = 34, H = 4.39627e+00\n", + "log(Z): -4.39218e+01, tol = 4.20488e+01, K = 1, iteration = 35, H = 4.32633e+00\n", + "log(Z): -4.34158e+01, tol = 4.15408e+01, K = 1, iteration = 36, H = 4.43256e+00\n", + "log(Z): -4.29709e+01, tol = 4.10939e+01, K = 1, iteration = 37, H = 4.44582e+00\n", + "log(Z): -4.26287e+01, tol = 4.07497e+01, K = 1, iteration = 38, H = 4.37817e+00\n", + "log(Z): -4.22037e+01, tol = 4.03227e+01, K = 1, iteration = 39, H = 4.39560e+00\n", + "log(Z): -4.16343e+01, tol = 3.97514e+01, K = 1, iteration = 40, H = 4.53507e+00\n", + "log(Z): -4.11915e+01, tol = 3.93445e+01, K = 1, iteration = 41, H = 4.51283e+00\n", + "log(Z): -4.08860e+01, tol = 3.90370e+01, K = 1, iteration = 42, H = 4.40624e+00\n", + "log(Z): -4.06354e+01, tol = 3.87844e+01, K = 1, iteration = 43, H = 4.29693e+00\n", + "log(Z): -4.04204e+01, tol = 3.85674e+01, K = 1, iteration = 44, H = 4.19356e+00\n", + "log(Z): -4.02428e+01, tol = 3.83877e+01, K = 1, iteration = 45, H = 4.09277e+00\n", + "log(Z): -4.00432e+01, tol = 3.81861e+01, K = 1, iteration = 46, H = 4.02035e+00\n", + "log(Z): -3.98310e+01, tol = 3.79720e+01, K = 1, iteration = 47, H = 3.96968e+00\n", + "log(Z): -3.96305e+01, tol = 3.77694e+01, K = 1, iteration = 48, H = 3.92089e+00\n", + "log(Z): -3.94612e+01, tol = 3.75981e+01, K = 1, iteration = 49, H = 3.86069e+00\n", + "log(Z): -3.92707e+01, tol = 3.74057e+01, K = 1, iteration = 50, H = 3.82481e+00\n", + "log(Z): -3.90306e+01, tol = 3.71636e+01, K = 1, iteration = 51, H = 3.83797e+00\n", + "log(Z): -3.88306e+01, tol = 3.69615e+01, K = 1, iteration = 52, H = 3.81417e+00\n", + "log(Z): -3.86521e+01, tol = 3.67811e+01, K = 1, iteration = 53, H = 3.77833e+00\n", + "log(Z): -3.84905e+01, tol = 3.66174e+01, K = 1, iteration = 54, H = 3.73652e+00\n", + "log(Z): -3.83495e+01, tol = 3.64745e+01, K = 1, iteration = 55, H = 3.68747e+00\n", + "log(Z): -3.82252e+01, tol = 3.63481e+01, K = 1, iteration = 56, H = 3.63519e+00\n", + "log(Z): -3.81010e+01, tol = 3.62219e+01, K = 1, iteration = 57, H = 3.58916e+00\n", + "log(Z): -3.79368e+01, tol = 3.60558e+01, K = 1, iteration = 58, H = 3.57892e+00\n", + "log(Z): -3.77337e+01, tol = 3.58507e+01, K = 1, iteration = 59, H = 3.60777e+00\n", + "log(Z): -3.75611e+01, tol = 3.56761e+01, K = 1, iteration = 60, H = 3.60263e+00\n", + "log(Z): -3.74010e+01, tol = 3.55140e+01, K = 1, iteration = 61, H = 3.58784e+00\n", + "log(Z): -3.72300e+01, tol = 3.53410e+01, K = 1, iteration = 62, H = 3.58508e+00\n", + "log(Z): -3.70840e+01, tol = 3.51930e+01, K = 1, iteration = 63, H = 3.56193e+00\n", + "log(Z): -3.69481e+01, tol = 3.50550e+01, K = 1, iteration = 64, H = 3.53439e+00\n", + "log(Z): -3.68065e+01, tol = 3.49115e+01, K = 1, iteration = 65, H = 3.51502e+00\n", + "log(Z): -3.66289e+01, tol = 3.47318e+01, K = 1, iteration = 66, H = 3.53152e+00\n", + "log(Z): -3.64677e+01, tol = 3.45686e+01, K = 1, iteration = 67, H = 3.53002e+00\n", + "log(Z): -3.63201e+01, tol = 3.44191e+01, K = 1, iteration = 68, H = 3.51702e+00\n", + "log(Z): -3.61844e+01, tol = 3.42813e+01, K = 1, iteration = 69, H = 3.49632e+00\n", + "log(Z): -3.60552e+01, tol = 3.41502e+01, K = 1, iteration = 70, H = 3.47327e+00\n", + "log(Z): -3.59176e+01, tol = 3.40105e+01, K = 1, iteration = 71, H = 3.46019e+00\n", + "log(Z): -3.57812e+01, tol = 3.38721e+01, K = 1, iteration = 72, H = 3.44805e+00\n", + "log(Z): -3.56456e+01, tol = 3.37346e+01, K = 1, iteration = 73, H = 3.43691e+00\n", + "log(Z): -3.55186e+01, tol = 3.36056e+01, K = 1, iteration = 74, H = 3.42026e+00\n", + "log(Z): -3.54048e+01, tol = 3.34898e+01, K = 1, iteration = 75, H = 3.39549e+00\n", + "log(Z): -3.52724e+01, tol = 3.33553e+01, K = 1, iteration = 76, H = 3.38901e+00\n", + "log(Z): -3.51508e+01, tol = 3.32318e+01, K = 1, iteration = 77, H = 3.37420e+00\n", + "log(Z): -3.50424e+01, tol = 3.31213e+01, K = 1, iteration = 78, H = 3.35092e+00\n", + "log(Z): -3.48973e+01, tol = 3.29742e+01, K = 1, iteration = 79, H = 3.36298e+00\n", + "log(Z): -3.47115e+01, tol = 3.27864e+01, K = 1, iteration = 80, H = 3.41829e+00\n", + "log(Z): -3.45145e+01, tol = 3.25874e+01, K = 1, iteration = 81, H = 3.47749e+00\n", + "log(Z): -3.43449e+01, tol = 3.24158e+01, K = 1, iteration = 82, H = 3.49695e+00\n", + "log(Z): -3.41349e+01, tol = 3.22039e+01, K = 1, iteration = 83, H = 3.55754e+00\n", + "log(Z): -3.39546e+01, tol = 3.20215e+01, K = 1, iteration = 84, H = 3.57564e+00\n", + "log(Z): -3.37971e+01, tol = 3.18621e+01, K = 1, iteration = 85, H = 3.56956e+00\n", + "log(Z): -3.36551e+01, tol = 3.17180e+01, K = 1, iteration = 86, H = 3.55151e+00\n", + "log(Z): -3.35027e+01, tol = 3.15637e+01, K = 1, iteration = 87, H = 3.54494e+00\n", + "log(Z): -3.33649e+01, tol = 3.14239e+01, K = 1, iteration = 88, H = 3.52716e+00\n", + "log(Z): -3.32431e+01, tol = 3.13000e+01, K = 1, iteration = 89, H = 3.49953e+00\n", + "log(Z): -3.31214e+01, tol = 3.11764e+01, K = 1, iteration = 90, H = 3.47512e+00\n", + "log(Z): -3.29944e+01, tol = 3.10473e+01, K = 1, iteration = 91, H = 3.45800e+00\n", + "log(Z): -3.28685e+01, tol = 3.09195e+01, K = 1, iteration = 92, H = 3.44220e+00\n", + "log(Z): -3.27539e+01, tol = 3.08029e+01, K = 1, iteration = 93, H = 3.41952e+00\n", + "log(Z): -3.26434e+01, tol = 3.06903e+01, K = 1, iteration = 94, H = 3.39640e+00\n", + "log(Z): -3.25388e+01, tol = 3.05838e+01, K = 1, iteration = 95, H = 3.37146e+00\n", + "log(Z): -3.24425e+01, tol = 3.04854e+01, K = 1, iteration = 96, H = 3.34335e+00\n", + "log(Z): -3.23538e+01, tol = 3.03948e+01, K = 1, iteration = 97, H = 3.31288e+00\n", + "log(Z): -3.22676e+01, tol = 3.03065e+01, K = 1, iteration = 98, H = 3.28361e+00\n", + "log(Z): -3.21809e+01, tol = 3.02179e+01, K = 1, iteration = 99, H = 3.25720e+00\n", + "log(Z): -3.21005e+01, tol = 3.01355e+01, K = 1, iteration = 100, H = 3.22904e+00\n", + "log(Z): -3.20186e+01, tol = 3.00516e+01, K = 1, iteration = 101, H = 3.20418e+00\n", + "log(Z): -3.19414e+01, tol = 2.99723e+01, K = 1, iteration = 102, H = 3.17837e+00\n", + "log(Z): -3.18657e+01, tol = 2.98947e+01, K = 1, iteration = 103, H = 3.15355e+00\n", + "log(Z): -3.17800e+01, tol = 2.98070e+01, K = 1, iteration = 104, H = 3.13802e+00\n", + "log(Z): -3.16959e+01, tol = 2.97208e+01, K = 1, iteration = 105, H = 3.12270e+00\n", + "log(Z): -3.16176e+01, tol = 2.96406e+01, K = 1, iteration = 106, H = 3.10425e+00\n", + "log(Z): -3.15389e+01, tol = 2.95599e+01, K = 1, iteration = 107, H = 3.08766e+00\n", + "log(Z): -3.14588e+01, tol = 2.94777e+01, K = 1, iteration = 108, H = 3.07362e+00\n", + "log(Z): -3.13767e+01, tol = 2.93937e+01, K = 1, iteration = 109, H = 3.06238e+00\n", + "log(Z): -3.12919e+01, tol = 2.93069e+01, K = 1, iteration = 110, H = 3.05455e+00\n", + "log(Z): -3.12053e+01, tol = 2.92183e+01, K = 1, iteration = 111, H = 3.04908e+00\n", + "log(Z): -3.10807e+01, tol = 2.90917e+01, K = 1, iteration = 112, H = 3.08484e+00\n", + "log(Z): -3.09484e+01, tol = 2.89574e+01, K = 1, iteration = 113, H = 3.12589e+00\n", + "log(Z): -3.08289e+01, tol = 2.88358e+01, K = 1, iteration = 114, H = 3.14744e+00\n", + "log(Z): -3.07147e+01, tol = 2.87197e+01, K = 1, iteration = 115, H = 3.16094e+00\n", + "log(Z): -3.05908e+01, tol = 2.85937e+01, K = 1, iteration = 116, H = 3.18382e+00\n", + "log(Z): -3.04773e+01, tol = 2.84783e+01, K = 1, iteration = 117, H = 3.19314e+00\n", + "log(Z): -3.03692e+01, tol = 2.83682e+01, K = 1, iteration = 118, H = 3.19635e+00\n", + "log(Z): -3.02596e+01, tol = 2.82565e+01, K = 1, iteration = 119, H = 3.20093e+00\n", + "log(Z): -3.01591e+01, tol = 2.81541e+01, K = 1, iteration = 120, H = 3.19655e+00\n", + "log(Z): -3.00353e+01, tol = 2.80282e+01, K = 1, iteration = 121, H = 3.21636e+00\n", + "log(Z): -2.99187e+01, tol = 2.79096e+01, K = 1, iteration = 122, H = 3.22644e+00\n", + "log(Z): -2.97994e+01, tol = 2.77884e+01, K = 1, iteration = 123, H = 3.23837e+00\n", + "log(Z): -2.96655e+01, tol = 2.76525e+01, K = 1, iteration = 124, H = 3.26491e+00\n", + "log(Z): -2.95247e+01, tol = 2.75097e+01, K = 1, iteration = 125, H = 3.29610e+00\n", + "log(Z): -2.93982e+01, tol = 2.73811e+01, K = 1, iteration = 126, H = 3.30819e+00\n", + "log(Z): -2.92736e+01, tol = 2.72546e+01, K = 1, iteration = 127, H = 3.31703e+00\n", + "log(Z): -2.91386e+01, tol = 2.71175e+01, K = 1, iteration = 128, H = 3.33595e+00\n", + "log(Z): -2.90160e+01, tol = 2.69929e+01, K = 1, iteration = 129, H = 3.34014e+00\n", + "log(Z): -2.88873e+01, tol = 2.68623e+01, K = 1, iteration = 130, H = 3.35005e+00\n", + "log(Z): -2.87696e+01, tol = 2.67426e+01, K = 1, iteration = 131, H = 3.34844e+00\n", + "log(Z): -2.86607e+01, tol = 2.66316e+01, K = 1, iteration = 132, H = 3.33932e+00\n", + "log(Z): -2.85311e+01, tol = 2.65000e+01, K = 1, iteration = 133, H = 3.35103e+00\n", + "log(Z): -2.84076e+01, tol = 2.63745e+01, K = 1, iteration = 134, H = 3.35550e+00\n", + "log(Z): -2.82928e+01, tol = 2.62577e+01, K = 1, iteration = 135, H = 3.35148e+00\n", + "log(Z): -2.81890e+01, tol = 2.61520e+01, K = 1, iteration = 136, H = 3.33848e+00\n", + "log(Z): -2.80923e+01, tol = 2.60533e+01, K = 1, iteration = 137, H = 3.32119e+00\n", + "log(Z): -2.80019e+01, tol = 2.59609e+01, K = 1, iteration = 138, H = 3.30083e+00\n", + "log(Z): -2.79136e+01, tol = 2.58706e+01, K = 1, iteration = 139, H = 3.28085e+00\n", + "log(Z): -2.78283e+01, tol = 2.57833e+01, K = 1, iteration = 140, H = 3.26049e+00\n", + "log(Z): -2.77360e+01, tol = 2.56890e+01, K = 1, iteration = 141, H = 3.24745e+00\n", + "log(Z): -2.76515e+01, tol = 2.56025e+01, K = 1, iteration = 142, H = 3.22953e+00\n", + "log(Z): -2.75646e+01, tol = 2.55135e+01, K = 1, iteration = 143, H = 3.21513e+00\n", + "log(Z): -2.74845e+01, tol = 2.54315e+01, K = 1, iteration = 144, H = 3.19674e+00\n", + "log(Z): -2.74097e+01, tol = 2.53547e+01, K = 1, iteration = 145, H = 3.17611e+00\n", + "log(Z): -2.73374e+01, tol = 2.52804e+01, K = 1, iteration = 146, H = 3.15535e+00\n", + "log(Z): -2.72585e+01, tol = 2.51994e+01, K = 1, iteration = 147, H = 3.14117e+00\n", + "log(Z): -2.71741e+01, tol = 2.51130e+01, K = 1, iteration = 148, H = 3.13274e+00\n", + "log(Z): -2.70804e+01, tol = 2.50174e+01, K = 1, iteration = 149, H = 3.13367e+00\n", + "log(Z): -2.69889e+01, tol = 2.49238e+01, K = 1, iteration = 150, H = 3.13270e+00\n", + "log(Z): -2.69018e+01, tol = 2.48348e+01, K = 1, iteration = 151, H = 3.12779e+00\n", + "log(Z): -2.68192e+01, tol = 2.47502e+01, K = 1, iteration = 152, H = 3.11954e+00\n", + "log(Z): -2.67201e+01, tol = 2.46491e+01, K = 1, iteration = 153, H = 3.12785e+00\n", + "log(Z): -2.66141e+01, tol = 2.45411e+01, K = 1, iteration = 154, H = 3.14283e+00\n", + "log(Z): -2.65172e+01, tol = 2.44421e+01, K = 1, iteration = 155, H = 3.14715e+00\n", + "log(Z): -2.64240e+01, tol = 2.43470e+01, K = 1, iteration = 156, H = 3.14757e+00\n", + "log(Z): -2.63374e+01, tol = 2.42583e+01, K = 1, iteration = 157, H = 3.14204e+00\n", + "log(Z): -2.62535e+01, tol = 2.41724e+01, K = 1, iteration = 158, H = 3.13474e+00\n", + "log(Z): -2.61748e+01, tol = 2.40917e+01, K = 1, iteration = 159, H = 3.12374e+00\n", + "log(Z): -2.60654e+01, tol = 2.39803e+01, K = 1, iteration = 160, H = 3.14412e+00\n", + "log(Z): -2.59602e+01, tol = 2.38732e+01, K = 1, iteration = 161, H = 3.15797e+00\n", + "log(Z): -2.58622e+01, tol = 2.37732e+01, K = 1, iteration = 162, H = 3.16320e+00\n", + "log(Z): -2.57719e+01, tol = 2.36808e+01, K = 1, iteration = 163, H = 3.16080e+00\n", + "log(Z): -2.56741e+01, tol = 2.35810e+01, K = 1, iteration = 164, H = 3.16599e+00\n", + "log(Z): -2.55793e+01, tol = 2.34843e+01, K = 1, iteration = 165, H = 3.16787e+00\n", + "log(Z): -2.54920e+01, tol = 2.33950e+01, K = 1, iteration = 166, H = 3.16277e+00\n", + "log(Z): -2.54059e+01, tol = 2.33068e+01, K = 1, iteration = 167, H = 3.15722e+00\n", + "log(Z): -2.53262e+01, tol = 2.32252e+01, K = 1, iteration = 168, H = 3.14666e+00\n", + "log(Z): -2.52434e+01, tol = 2.31404e+01, K = 1, iteration = 169, H = 3.13975e+00\n", + "log(Z): -2.51586e+01, tol = 2.30535e+01, K = 1, iteration = 170, H = 3.13543e+00\n", + "log(Z): -2.50800e+01, tol = 2.29729e+01, K = 1, iteration = 171, H = 3.12609e+00\n", + "log(Z): -2.50058e+01, tol = 2.28968e+01, K = 1, iteration = 172, H = 3.11394e+00\n", + "log(Z): -2.49335e+01, tol = 2.28224e+01, K = 1, iteration = 173, H = 3.10130e+00\n", + "log(Z): -2.48649e+01, tol = 2.27519e+01, K = 1, iteration = 174, H = 3.08670e+00\n", + "log(Z): -2.47887e+01, tol = 2.26737e+01, K = 1, iteration = 175, H = 3.07957e+00\n", + "log(Z): -2.47131e+01, tol = 2.25961e+01, K = 1, iteration = 176, H = 3.07250e+00\n", + "log(Z): -2.46346e+01, tol = 2.25156e+01, K = 1, iteration = 177, H = 3.06877e+00\n", + "log(Z): -2.45573e+01, tol = 2.24363e+01, K = 1, iteration = 178, H = 3.06433e+00\n", + "log(Z): -2.44669e+01, tol = 2.23438e+01, K = 1, iteration = 179, H = 3.07335e+00\n", + "log(Z): -2.43836e+01, tol = 2.22585e+01, K = 1, iteration = 180, H = 3.07452e+00\n", + "log(Z): -2.43061e+01, tol = 2.21791e+01, K = 1, iteration = 181, H = 3.07022e+00\n", + "log(Z): -2.42327e+01, tol = 2.21036e+01, K = 1, iteration = 182, H = 3.06287e+00\n", + "log(Z): -2.41590e+01, tol = 2.20280e+01, K = 1, iteration = 183, H = 3.05636e+00\n", + "log(Z): -2.40798e+01, tol = 2.19468e+01, K = 1, iteration = 184, H = 3.05551e+00\n", + "log(Z): -2.40024e+01, tol = 2.18673e+01, K = 1, iteration = 185, H = 3.05328e+00\n", + "log(Z): -2.39304e+01, tol = 2.17933e+01, K = 1, iteration = 186, H = 3.04640e+00\n", + "log(Z): -2.38621e+01, tol = 2.17231e+01, K = 1, iteration = 187, H = 3.03690e+00\n", + "log(Z): -2.37953e+01, tol = 2.16542e+01, K = 1, iteration = 188, H = 3.02706e+00\n", + "log(Z): -2.37279e+01, tol = 2.15849e+01, K = 1, iteration = 189, H = 3.01835e+00\n", + "log(Z): -2.36588e+01, tol = 2.15138e+01, K = 1, iteration = 190, H = 3.01186e+00\n", + "log(Z): -2.35920e+01, tol = 2.14450e+01, K = 1, iteration = 191, H = 3.00396e+00\n", + "log(Z): -2.35283e+01, tol = 2.13792e+01, K = 1, iteration = 192, H = 2.99410e+00\n", + "log(Z): -2.34645e+01, tol = 2.13134e+01, K = 1, iteration = 193, H = 2.98505e+00\n", + "log(Z): -2.33988e+01, tol = 2.12458e+01, K = 1, iteration = 194, H = 2.97823e+00\n", + "log(Z): -2.33364e+01, tol = 2.11814e+01, K = 1, iteration = 195, H = 2.96924e+00\n", + "log(Z): -2.32770e+01, tol = 2.11200e+01, K = 1, iteration = 196, H = 2.95845e+00\n", + "log(Z): -2.32197e+01, tol = 2.10606e+01, K = 1, iteration = 197, H = 2.94676e+00\n", + "log(Z): -2.31652e+01, tol = 2.10041e+01, K = 1, iteration = 198, H = 2.93367e+00\n", + "log(Z): -2.31095e+01, tol = 2.09465e+01, K = 1, iteration = 199, H = 2.92225e+00\n", + "log(Z): -2.30511e+01, tol = 2.08861e+01, K = 1, iteration = 200, H = 2.91379e+00\n", + "log(Z): -2.29921e+01, tol = 2.08251e+01, K = 1, iteration = 201, H = 2.90640e+00\n", + "log(Z): -2.29364e+01, tol = 2.07674e+01, K = 1, iteration = 202, H = 2.89685e+00\n", + "log(Z): -2.28815e+01, tol = 2.07105e+01, K = 1, iteration = 203, H = 2.88727e+00\n", + "log(Z): -2.28262e+01, tol = 2.06532e+01, K = 1, iteration = 204, H = 2.87858e+00\n", + "log(Z): -2.27718e+01, tol = 2.05967e+01, K = 1, iteration = 205, H = 2.86983e+00\n", + "log(Z): -2.27193e+01, tol = 2.05423e+01, K = 1, iteration = 206, H = 2.85999e+00\n", + "log(Z): -2.26687e+01, tol = 2.04896e+01, K = 1, iteration = 207, H = 2.84938e+00\n", + "log(Z): -2.26178e+01, tol = 2.04368e+01, K = 1, iteration = 208, H = 2.83951e+00\n", + "log(Z): -2.25694e+01, tol = 2.03863e+01, K = 1, iteration = 209, H = 2.82839e+00\n", + "log(Z): -2.25219e+01, tol = 2.03368e+01, K = 1, iteration = 210, H = 2.81717e+00\n", + "log(Z): -2.24751e+01, tol = 2.02880e+01, K = 1, iteration = 211, H = 2.80602e+00\n", + "log(Z): -2.24256e+01, tol = 2.02365e+01, K = 1, iteration = 212, H = 2.79761e+00\n", + "log(Z): -2.23770e+01, tol = 2.01859e+01, K = 1, iteration = 213, H = 2.78896e+00\n", + "log(Z): -2.23305e+01, tol = 2.01374e+01, K = 1, iteration = 214, H = 2.77917e+00\n", + "log(Z): -2.22841e+01, tol = 2.00891e+01, K = 1, iteration = 215, H = 2.76978e+00\n", + "log(Z): -2.22372e+01, tol = 2.00402e+01, K = 1, iteration = 216, H = 2.76137e+00\n", + "log(Z): -2.21911e+01, tol = 1.99921e+01, K = 1, iteration = 217, H = 2.75276e+00\n", + "log(Z): -2.21470e+01, tol = 1.99460e+01, K = 1, iteration = 218, H = 2.74305e+00\n", + "log(Z): -2.21005e+01, tol = 1.98975e+01, K = 1, iteration = 219, H = 2.73583e+00\n", + "log(Z): -2.20514e+01, tol = 1.98464e+01, K = 1, iteration = 220, H = 2.73119e+00\n", + "log(Z): -2.19993e+01, tol = 1.97923e+01, K = 1, iteration = 221, H = 2.72965e+00\n", + "log(Z): -2.19485e+01, tol = 1.97394e+01, K = 1, iteration = 222, H = 2.72715e+00\n", + "log(Z): -2.18974e+01, tol = 1.96863e+01, K = 1, iteration = 223, H = 2.72508e+00\n", + "log(Z): -2.18477e+01, tol = 1.96347e+01, K = 1, iteration = 224, H = 2.72184e+00\n", + "log(Z): -2.17980e+01, tol = 1.95829e+01, K = 1, iteration = 225, H = 2.71898e+00\n", + "log(Z): -2.17490e+01, tol = 1.95319e+01, K = 1, iteration = 226, H = 2.71567e+00\n", + "log(Z): -2.17003e+01, tol = 1.94813e+01, K = 1, iteration = 227, H = 2.71230e+00\n", + "log(Z): -2.16492e+01, tol = 1.94282e+01, K = 1, iteration = 228, H = 2.71145e+00\n", + 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1.88166e+01, K = 1, iteration = 240, H = 2.68952e+00\n", + "log(Z): -2.10146e+01, tol = 1.87675e+01, K = 1, iteration = 241, H = 2.68721e+00\n", + "log(Z): -2.09690e+01, tol = 1.87199e+01, K = 1, iteration = 242, H = 2.68372e+00\n", + "log(Z): -2.09241e+01, tol = 1.86730e+01, K = 1, iteration = 243, H = 2.67988e+00\n", + "log(Z): -2.08807e+01, tol = 1.86276e+01, K = 1, iteration = 244, H = 2.67500e+00\n", + "log(Z): -2.08375e+01, tol = 1.85824e+01, K = 1, iteration = 245, H = 2.67018e+00\n", + "log(Z): -2.07958e+01, tol = 1.85387e+01, K = 1, iteration = 246, H = 2.66440e+00\n", + "log(Z): -2.07548e+01, tol = 1.84958e+01, K = 1, iteration = 247, H = 2.65831e+00\n", + "log(Z): -2.07145e+01, tol = 1.84535e+01, K = 1, iteration = 248, H = 2.65197e+00\n", + "log(Z): -2.06731e+01, tol = 1.84101e+01, K = 1, iteration = 249, H = 2.64691e+00\n", + "log(Z): -2.06322e+01, tol = 1.83672e+01, K = 1, iteration = 250, H = 2.64170e+00\n", + "log(Z): -2.05928e+01, tol = 1.83258e+01, K = 1, iteration = 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1.71603e+01, K = 1, iteration = 274, H = 2.69814e+00\n", + "log(Z): -1.94296e+01, tol = 1.71146e+01, K = 1, iteration = 275, H = 2.69538e+00\n", + "log(Z): -1.93873e+01, tol = 1.70703e+01, K = 1, iteration = 276, H = 2.69155e+00\n", + "log(Z): -1.93451e+01, tol = 1.70260e+01, K = 1, iteration = 277, H = 2.68789e+00\n", + "log(Z): -1.93039e+01, tol = 1.69828e+01, K = 1, iteration = 278, H = 2.68354e+00\n", + "log(Z): -1.92616e+01, tol = 1.69385e+01, K = 1, iteration = 279, H = 2.68044e+00\n", + "log(Z): -1.92154e+01, tol = 1.68903e+01, K = 1, iteration = 280, H = 2.68124e+00\n", + "log(Z): -1.91710e+01, tol = 1.68439e+01, K = 1, iteration = 281, H = 2.68038e+00\n", + "log(Z): -1.91272e+01, tol = 1.67982e+01, K = 1, iteration = 282, H = 2.67899e+00\n", + "log(Z): -1.90843e+01, tol = 1.67533e+01, K = 1, iteration = 283, H = 2.67699e+00\n", + "log(Z): -1.90421e+01, tol = 1.67091e+01, K = 1, iteration = 284, H = 2.67446e+00\n", + "log(Z): -1.89996e+01, tol = 1.66645e+01, K = 1, iteration = 285, H = 2.67248e+00\n", + "log(Z): -1.89586e+01, tol = 1.66216e+01, K = 1, iteration = 286, H = 2.66916e+00\n", + "log(Z): -1.89156e+01, tol = 1.65766e+01, K = 1, iteration = 287, H = 2.66800e+00\n", + "log(Z): -1.88720e+01, tol = 1.65310e+01, K = 1, iteration = 288, H = 2.66750e+00\n", + "log(Z): -1.88296e+01, tol = 1.64865e+01, K = 1, iteration = 289, H = 2.66602e+00\n", + "log(Z): -1.87889e+01, tol = 1.64438e+01, K = 1, iteration = 290, H = 2.66306e+00\n", + "log(Z): -1.87471e+01, tol = 1.64001e+01, K = 1, iteration = 291, H = 2.66132e+00\n", + "log(Z): -1.87060e+01, tol = 1.63569e+01, K = 1, iteration = 292, H = 2.65910e+00\n", + "log(Z): -1.86647e+01, tol = 1.63136e+01, K = 1, iteration = 293, H = 2.65723e+00\n", + "log(Z): -1.86248e+01, tol = 1.62717e+01, K = 1, iteration = 294, H = 2.65420e+00\n", + "log(Z): -1.85865e+01, tol = 1.62314e+01, K = 1, iteration = 295, H = 2.64996e+00\n", + "log(Z): -1.85496e+01, tol = 1.61926e+01, K = 1, iteration = 296, H = 2.64472e+00\n", + 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1.57225e+01, K = 1, iteration = 308, H = 2.60274e+00\n", + "log(Z): -1.80655e+01, tol = 1.56824e+01, K = 1, iteration = 309, H = 2.60124e+00\n", + "log(Z): -1.80282e+01, tol = 1.56431e+01, K = 1, iteration = 310, H = 2.59916e+00\n", + "log(Z): -1.79919e+01, tol = 1.56049e+01, K = 1, iteration = 311, H = 2.59629e+00\n", + "log(Z): -1.79547e+01, tol = 1.55657e+01, K = 1, iteration = 312, H = 2.59446e+00\n", + "log(Z): -1.79182e+01, tol = 1.55271e+01, K = 1, iteration = 313, H = 2.59215e+00\n", + "log(Z): -1.78812e+01, tol = 1.54882e+01, K = 1, iteration = 314, H = 2.59039e+00\n", + "log(Z): -1.78456e+01, tol = 1.54505e+01, K = 1, iteration = 315, H = 2.58756e+00\n", + "log(Z): -1.78100e+01, tol = 1.54129e+01, K = 1, iteration = 316, H = 2.58483e+00\n", + "log(Z): -1.77746e+01, tol = 1.53756e+01, K = 1, iteration = 317, H = 2.58208e+00\n", + "log(Z): -1.77395e+01, tol = 1.53385e+01, K = 1, iteration = 318, H = 2.57924e+00\n", + "log(Z): -1.77054e+01, tol = 1.53024e+01, K = 1, iteration = 319, H = 2.57568e+00\n", + "log(Z): -1.76722e+01, tol = 1.52671e+01, K = 1, iteration = 320, H = 2.57155e+00\n", + "log(Z): -1.76396e+01, tol = 1.52326e+01, K = 1, iteration = 321, H = 2.56705e+00\n", + "log(Z): -1.76078e+01, tol = 1.51988e+01, K = 1, iteration = 322, H = 2.56213e+00\n", + "log(Z): -1.75766e+01, tol = 1.51655e+01, K = 1, iteration = 323, H = 2.55694e+00\n", + "log(Z): -1.75446e+01, tol = 1.51315e+01, K = 1, iteration = 324, H = 2.55263e+00\n", + "log(Z): -1.75116e+01, tol = 1.50966e+01, K = 1, iteration = 325, H = 2.54930e+00\n", + "log(Z): -1.74774e+01, tol = 1.50604e+01, K = 1, iteration = 326, H = 2.54730e+00\n", + "log(Z): -1.74407e+01, tol = 1.50216e+01, K = 1, iteration = 327, H = 2.54792e+00\n", + "log(Z): -1.74052e+01, tol = 1.49842e+01, K = 1, iteration = 328, H = 2.54728e+00\n", + "log(Z): -1.73689e+01, tol = 1.49459e+01, K = 1, iteration = 329, H = 2.54761e+00\n", + "log(Z): -1.73336e+01, tol = 1.49086e+01, K = 1, iteration = 330, H = 2.54699e+00\n", + 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1.45035e+01, K = 1, iteration = 342, H = 2.51122e+00\n", + "log(Z): -1.69197e+01, tol = 1.44687e+01, K = 1, iteration = 343, H = 2.51035e+00\n", + "log(Z): -1.68873e+01, tol = 1.44343e+01, K = 1, iteration = 344, H = 2.50911e+00\n", + "log(Z): -1.68549e+01, tol = 1.43998e+01, K = 1, iteration = 345, H = 2.50801e+00\n", + "log(Z): -1.68227e+01, tol = 1.43656e+01, K = 1, iteration = 346, H = 2.50681e+00\n", + "log(Z): -1.67912e+01, tol = 1.43322e+01, K = 1, iteration = 347, H = 2.50502e+00\n", + "log(Z): -1.67607e+01, tol = 1.42996e+01, K = 1, iteration = 348, H = 2.50247e+00\n", + "log(Z): -1.67304e+01, tol = 1.42674e+01, K = 1, iteration = 349, H = 2.49983e+00\n", + "log(Z): -1.66992e+01, tol = 1.42341e+01, K = 1, iteration = 350, H = 2.49822e+00\n", + "log(Z): -1.66686e+01, tol = 1.42016e+01, K = 1, iteration = 351, H = 2.49606e+00\n", + "log(Z): -1.66385e+01, tol = 1.41694e+01, K = 1, iteration = 352, H = 2.49371e+00\n", + "log(Z): -1.66084e+01, tol = 1.41373e+01, K = 1, iteration = 353, H = 2.49142e+00\n", + "log(Z): -1.65787e+01, tol = 1.41057e+01, K = 1, iteration = 354, H = 2.48885e+00\n", + "log(Z): -1.65492e+01, tol = 1.40741e+01, K = 1, iteration = 355, H = 2.48630e+00\n", + "log(Z): -1.65200e+01, tol = 1.40430e+01, K = 1, iteration = 356, H = 2.48357e+00\n", + "log(Z): -1.64911e+01, tol = 1.40121e+01, K = 1, iteration = 357, H = 2.48069e+00\n", + "log(Z): -1.64627e+01, tol = 1.39816e+01, K = 1, iteration = 358, H = 2.47758e+00\n", + "log(Z): -1.64314e+01, tol = 1.39483e+01, K = 1, iteration = 359, H = 2.47726e+00\n", + "log(Z): -1.64009e+01, tol = 1.39159e+01, K = 1, iteration = 360, H = 2.47621e+00\n", + "log(Z): -1.63711e+01, tol = 1.38840e+01, K = 1, iteration = 361, H = 2.47469e+00\n", + "log(Z): -1.63398e+01, tol = 1.38508e+01, K = 1, iteration = 362, H = 2.47458e+00\n", + "log(Z): -1.63094e+01, tol = 1.38184e+01, K = 1, iteration = 363, H = 2.47378e+00\n", + "log(Z): -1.62789e+01, tol = 1.37859e+01, K = 1, iteration = 364, H = 2.47308e+00\n", + 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1.33698e+01, K = 1, iteration = 376, H = 2.49408e+00\n", + "log(Z): -1.58539e+01, tol = 1.33348e+01, K = 1, iteration = 377, H = 2.49606e+00\n", + "log(Z): -1.58215e+01, tol = 1.33005e+01, K = 1, iteration = 378, H = 2.49741e+00\n", + "log(Z): -1.57899e+01, tol = 1.32668e+01, K = 1, iteration = 379, H = 2.49807e+00\n", + "log(Z): -1.57587e+01, tol = 1.32337e+01, K = 1, iteration = 380, H = 2.49827e+00\n", + "log(Z): -1.57276e+01, tol = 1.32005e+01, K = 1, iteration = 381, H = 2.49853e+00\n", + "log(Z): -1.56968e+01, tol = 1.31677e+01, K = 1, iteration = 382, H = 2.49850e+00\n", + "log(Z): -1.56662e+01, tol = 1.31351e+01, K = 1, iteration = 383, H = 2.49833e+00\n", + "log(Z): -1.56361e+01, tol = 1.31031e+01, K = 1, iteration = 384, H = 2.49767e+00\n", + "log(Z): -1.56070e+01, tol = 1.30720e+01, K = 1, iteration = 385, H = 2.49623e+00\n", + "log(Z): -1.55776e+01, tol = 1.30405e+01, K = 1, iteration = 386, H = 2.49516e+00\n", + "log(Z): -1.55490e+01, tol = 1.30099e+01, K = 1, iteration = 387, H = 2.49344e+00\n", + "log(Z): -1.55212e+01, tol = 1.29802e+01, K = 1, iteration = 388, H = 2.49104e+00\n", + "log(Z): -1.54925e+01, tol = 1.29495e+01, K = 1, iteration = 389, H = 2.48957e+00\n", + "log(Z): -1.54646e+01, tol = 1.29196e+01, K = 1, iteration = 390, H = 2.48753e+00\n", + "log(Z): -1.54369e+01, tol = 1.28899e+01, K = 1, iteration = 391, H = 2.48538e+00\n", + "log(Z): -1.54088e+01, tol = 1.28598e+01, K = 1, iteration = 392, H = 2.48372e+00\n", + "log(Z): -1.53813e+01, tol = 1.28303e+01, K = 1, iteration = 393, H = 2.48160e+00\n", + "log(Z): -1.53545e+01, tol = 1.28015e+01, K = 1, iteration = 394, H = 2.47901e+00\n", + "log(Z): -1.53281e+01, tol = 1.27730e+01, K = 1, iteration = 395, H = 2.47617e+00\n", + "log(Z): -1.53023e+01, tol = 1.27453e+01, K = 1, iteration = 396, H = 2.47289e+00\n", + "log(Z): -1.52768e+01, tol = 1.27178e+01, K = 1, iteration = 397, H = 2.46947e+00\n", + "log(Z): -1.52513e+01, tol = 1.26903e+01, K = 1, iteration = 398, H = 2.46623e+00\n", + 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1.23674e+01, K = 1, iteration = 410, H = 2.43128e+00\n", + "log(Z): -1.49282e+01, tol = 1.23411e+01, K = 1, iteration = 411, H = 2.42858e+00\n", + "log(Z): -1.49032e+01, tol = 1.23142e+01, K = 1, iteration = 412, H = 2.42657e+00\n", + "log(Z): -1.48785e+01, tol = 1.22875e+01, K = 1, iteration = 413, H = 2.42444e+00\n", + "log(Z): -1.48539e+01, tol = 1.22608e+01, K = 1, iteration = 414, H = 2.42235e+00\n", + "log(Z): -1.48286e+01, tol = 1.22335e+01, K = 1, iteration = 415, H = 2.42094e+00\n", + "log(Z): -1.48035e+01, tol = 1.22065e+01, K = 1, iteration = 416, H = 2.41940e+00\n", + "log(Z): -1.47788e+01, tol = 1.21797e+01, K = 1, iteration = 417, H = 2.41769e+00\n", + "log(Z): -1.47541e+01, tol = 1.21531e+01, K = 1, iteration = 418, H = 2.41593e+00\n", + "log(Z): -1.47295e+01, tol = 1.21265e+01, K = 1, iteration = 419, H = 2.41425e+00\n", + "log(Z): -1.47051e+01, tol = 1.21000e+01, K = 1, iteration = 420, H = 2.41252e+00\n", + "log(Z): -1.46807e+01, tol = 1.20737e+01, K = 1, iteration = 421, H = 2.41076e+00\n", + "log(Z): -1.46551e+01, tol = 1.20461e+01, K = 1, iteration = 422, H = 2.41031e+00\n", + "log(Z): -1.46302e+01, tol = 1.20191e+01, K = 1, iteration = 423, H = 2.40928e+00\n", + "log(Z): -1.46050e+01, tol = 1.19920e+01, K = 1, iteration = 424, H = 2.40854e+00\n", + "log(Z): -1.45802e+01, tol = 1.19652e+01, K = 1, iteration = 425, H = 2.40750e+00\n", + "log(Z): -1.45558e+01, tol = 1.19388e+01, K = 1, iteration = 426, H = 2.40618e+00\n", + "log(Z): -1.45317e+01, tol = 1.19127e+01, K = 1, iteration = 427, H = 2.40468e+00\n", + "log(Z): -1.45076e+01, tol = 1.18866e+01, K = 1, iteration = 428, H = 2.40323e+00\n", + "log(Z): -1.44835e+01, tol = 1.18605e+01, K = 1, iteration = 429, H = 2.40187e+00\n", + "log(Z): -1.44598e+01, tol = 1.18348e+01, K = 1, iteration = 430, H = 2.40020e+00\n", + "log(Z): -1.44362e+01, tol = 1.18092e+01, K = 1, iteration = 431, H = 2.39852e+00\n", + "log(Z): -1.44129e+01, tol = 1.17839e+01, K = 1, iteration = 432, H = 2.39669e+00\n", + 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1.14764e+01, K = 1, iteration = 444, H = 2.38396e+00\n", + "log(Z): -1.41063e+01, tol = 1.14512e+01, K = 1, iteration = 445, H = 2.38294e+00\n", + "log(Z): -1.40836e+01, tol = 1.14265e+01, K = 1, iteration = 446, H = 2.38154e+00\n", + "log(Z): -1.40613e+01, tol = 1.14023e+01, K = 1, iteration = 447, H = 2.37981e+00\n", + "log(Z): -1.40390e+01, tol = 1.13780e+01, K = 1, iteration = 448, H = 2.37815e+00\n", + "log(Z): -1.40169e+01, tol = 1.13539e+01, K = 1, iteration = 449, H = 2.37644e+00\n", + "log(Z): -1.39949e+01, tol = 1.13299e+01, K = 1, iteration = 450, H = 2.37474e+00\n", + "log(Z): -1.39724e+01, tol = 1.13054e+01, K = 1, iteration = 451, H = 2.37352e+00\n", + "log(Z): -1.39493e+01, tol = 1.12803e+01, K = 1, iteration = 452, H = 2.37298e+00\n", + "log(Z): -1.39263e+01, tol = 1.12553e+01, K = 1, iteration = 453, H = 2.37240e+00\n", + "log(Z): -1.39036e+01, tol = 1.12306e+01, K = 1, iteration = 454, H = 2.37160e+00\n", + "log(Z): -1.38813e+01, tol = 1.12062e+01, K = 1, iteration = 455, H = 2.37052e+00\n", + "log(Z): -1.38590e+01, tol = 1.11820e+01, K = 1, iteration = 456, H = 2.36941e+00\n", + "log(Z): -1.38372e+01, tol = 1.11582e+01, K = 1, iteration = 457, H = 2.36798e+00\n", + "log(Z): -1.38156e+01, tol = 1.11345e+01, K = 1, iteration = 458, H = 2.36643e+00\n", + "log(Z): -1.37937e+01, tol = 1.11107e+01, K = 1, iteration = 459, H = 2.36520e+00\n", + "log(Z): -1.37717e+01, tol = 1.10867e+01, K = 1, iteration = 460, H = 2.36414e+00\n", + "log(Z): -1.37499e+01, tol = 1.10629e+01, K = 1, iteration = 461, H = 2.36296e+00\n", + "log(Z): -1.37276e+01, tol = 1.10385e+01, K = 1, iteration = 462, H = 2.36236e+00\n", + "log(Z): -1.37050e+01, tol = 1.10140e+01, K = 1, iteration = 463, H = 2.36201e+00\n", + "log(Z): -1.36823e+01, tol = 1.09893e+01, K = 1, iteration = 464, H = 2.36190e+00\n", + "log(Z): -1.36598e+01, tol = 1.09648e+01, K = 1, iteration = 465, H = 2.36162e+00\n", + "log(Z): -1.36376e+01, tol = 1.09406e+01, K = 1, iteration = 466, H = 2.36110e+00\n", + 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1.06621e+01, K = 1, iteration = 478, H = 2.34838e+00\n", + "log(Z): -1.33625e+01, tol = 1.06395e+01, K = 1, iteration = 479, H = 2.34714e+00\n", + "log(Z): -1.33420e+01, tol = 1.06170e+01, K = 1, iteration = 480, H = 2.34592e+00\n", + "log(Z): -1.33216e+01, tol = 1.05946e+01, K = 1, iteration = 481, H = 2.34470e+00\n", + "log(Z): -1.33015e+01, tol = 1.05725e+01, K = 1, iteration = 482, H = 2.34320e+00\n", + "log(Z): -1.32810e+01, tol = 1.05499e+01, K = 1, iteration = 483, H = 2.34222e+00\n", + "log(Z): -1.32607e+01, tol = 1.05276e+01, K = 1, iteration = 484, H = 2.34106e+00\n", + "log(Z): -1.32407e+01, tol = 1.05056e+01, K = 1, iteration = 485, H = 2.33967e+00\n", + "log(Z): -1.32207e+01, tol = 1.04837e+01, K = 1, iteration = 486, H = 2.33836e+00\n", + "log(Z): -1.32007e+01, tol = 1.04616e+01, K = 1, iteration = 487, H = 2.33713e+00\n", + "log(Z): -1.31808e+01, tol = 1.04398e+01, K = 1, iteration = 488, H = 2.33583e+00\n", + "log(Z): -1.31611e+01, tol = 1.04181e+01, K = 1, iteration = 489, H = 2.33441e+00\n", + "log(Z): -1.31414e+01, tol = 1.03964e+01, K = 1, iteration = 490, H = 2.33312e+00\n", + "log(Z): -1.31219e+01, tol = 1.03749e+01, K = 1, iteration = 491, H = 2.33166e+00\n", + "log(Z): -1.31022e+01, tol = 1.03532e+01, K = 1, iteration = 492, H = 2.33042e+00\n", + "log(Z): -1.30829e+01, tol = 1.03319e+01, K = 1, iteration = 493, H = 2.32896e+00\n", + "log(Z): -1.30636e+01, tol = 1.03106e+01, K = 1, iteration = 494, H = 2.32752e+00\n", + "log(Z): -1.30445e+01, tol = 1.02895e+01, K = 1, iteration = 495, H = 2.32599e+00\n", + "log(Z): -1.30253e+01, tol = 1.02683e+01, K = 1, iteration = 496, H = 2.32456e+00\n", + "log(Z): -1.30055e+01, tol = 1.02465e+01, K = 1, iteration = 497, H = 2.32379e+00\n", + "log(Z): -1.29860e+01, tol = 1.02250e+01, K = 1, iteration = 498, H = 2.32283e+00\n", + "log(Z): -1.29669e+01, tol = 1.02039e+01, K = 1, iteration = 499, H = 2.32155e+00\n", + "log(Z): -1.29478e+01, tol = 1.01828e+01, K = 1, iteration = 500, H = 2.32025e+00\n", + 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9.93059e+00, K = 1, iteration = 512, H = 2.30885e+00\n", + "log(Z): -1.27011e+01, tol = 9.91010e+00, K = 1, iteration = 513, H = 2.30776e+00\n", + "log(Z): -1.26825e+01, tol = 9.88948e+00, K = 1, iteration = 514, H = 2.30684e+00\n", + "log(Z): -1.26642e+01, tol = 9.86918e+00, K = 1, iteration = 515, H = 2.30568e+00\n", + "log(Z): -1.26455e+01, tol = 9.84852e+00, K = 1, iteration = 516, H = 2.30491e+00\n", + "log(Z): -1.26268e+01, tol = 9.82782e+00, K = 1, iteration = 517, H = 2.30423e+00\n", + "log(Z): -1.26083e+01, tol = 9.80726e+00, K = 1, iteration = 518, H = 2.30347e+00\n", + "log(Z): -1.25896e+01, tol = 9.78663e+00, K = 1, iteration = 519, H = 2.30284e+00\n", + "log(Z): -1.25711e+01, tol = 9.76616e+00, K = 1, iteration = 520, H = 2.30209e+00\n", + "log(Z): -1.25525e+01, tol = 9.74556e+00, K = 1, iteration = 521, H = 2.30151e+00\n", + "log(Z): -1.25343e+01, tol = 9.72530e+00, K = 1, iteration = 522, H = 2.30067e+00\n", + "log(Z): -1.25161e+01, tol = 9.70516e+00, K = 1, iteration = 523, H = 2.29976e+00\n", + "log(Z): -1.24982e+01, tol = 9.68521e+00, K = 1, iteration = 524, H = 2.29872e+00\n", + "log(Z): -1.24796e+01, tol = 9.66467e+00, K = 1, iteration = 525, H = 2.29830e+00\n", + "log(Z): -1.24614e+01, tol = 9.64438e+00, K = 1, iteration = 526, H = 2.29769e+00\n", + "log(Z): -1.24434e+01, tol = 9.62439e+00, K = 1, iteration = 527, H = 2.29682e+00\n", + "log(Z): -1.24256e+01, tol = 9.60464e+00, K = 1, iteration = 528, H = 2.29580e+00\n", + "log(Z): -1.24078e+01, tol = 9.58482e+00, K = 1, iteration = 529, H = 2.29489e+00\n", + "log(Z): -1.23903e+01, tol = 9.56531e+00, K = 1, iteration = 530, H = 2.29374e+00\n", + "log(Z): -1.23728e+01, tol = 9.54579e+00, K = 1, iteration = 531, H = 2.29265e+00\n", + "log(Z): -1.23555e+01, tol = 9.52658e+00, K = 1, iteration = 532, H = 2.29134e+00\n", + "log(Z): -1.23386e+01, tol = 9.50764e+00, K = 1, iteration = 533, H = 2.28983e+00\n", + "log(Z): -1.23218e+01, tol = 9.48885e+00, K = 1, iteration = 534, H = 2.28824e+00\n", + 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9.25883e+00, K = 1, iteration = 546, H = 2.27761e+00\n", + "log(Z): -1.20990e+01, tol = 9.24002e+00, K = 1, iteration = 547, H = 2.27668e+00\n", + "log(Z): -1.20824e+01, tol = 9.22150e+00, K = 1, iteration = 548, H = 2.27553e+00\n", + "log(Z): -1.20655e+01, tol = 9.20251e+00, K = 1, iteration = 549, H = 2.27487e+00\n", + "log(Z): -1.20486e+01, tol = 9.18366e+00, K = 1, iteration = 550, H = 2.27412e+00\n", + "log(Z): -1.20320e+01, tol = 9.16511e+00, K = 1, iteration = 551, H = 2.27314e+00\n", + "log(Z): -1.20156e+01, tol = 9.14671e+00, K = 1, iteration = 552, H = 2.27207e+00\n", + "log(Z): -1.19995e+01, tol = 9.12861e+00, K = 1, iteration = 553, H = 2.27078e+00\n", + "log(Z): -1.19835e+01, tol = 9.11052e+00, K = 1, iteration = 554, H = 2.26952e+00\n", + "log(Z): -1.19674e+01, tol = 9.09247e+00, K = 1, iteration = 555, H = 2.26828e+00\n", + "log(Z): -1.19516e+01, tol = 9.07466e+00, K = 1, iteration = 556, H = 2.26687e+00\n", + "log(Z): -1.19357e+01, tol = 9.05675e+00, K = 1, iteration = 557, H = 2.26561e+00\n", + "log(Z): -1.19199e+01, tol = 9.03901e+00, K = 1, iteration = 558, H = 2.26425e+00\n", + "log(Z): -1.19043e+01, tol = 9.02141e+00, K = 1, iteration = 559, H = 2.26281e+00\n", + "log(Z): -1.18889e+01, tol = 9.00402e+00, K = 1, iteration = 560, H = 2.26123e+00\n", + "log(Z): -1.18736e+01, tol = 8.98673e+00, K = 1, iteration = 561, H = 2.25962e+00\n", + "log(Z): -1.18586e+01, tol = 8.96966e+00, K = 1, iteration = 562, H = 2.25787e+00\n", + "log(Z): -1.18436e+01, tol = 8.95273e+00, K = 1, iteration = 563, H = 2.25606e+00\n", + "log(Z): -1.18287e+01, tol = 8.93575e+00, K = 1, iteration = 564, H = 2.25435e+00\n", + "log(Z): -1.18135e+01, tol = 8.91856e+00, K = 1, iteration = 565, H = 2.25287e+00\n", + "log(Z): -1.17982e+01, tol = 8.90129e+00, K = 1, iteration = 566, H = 2.25153e+00\n", + "log(Z): -1.17831e+01, tol = 8.88420e+00, K = 1, iteration = 567, H = 2.25007e+00\n", + "log(Z): -1.17681e+01, tol = 8.86719e+00, K = 1, iteration = 568, H = 2.24858e+00\n", + 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8.66594e+00, K = 1, iteration = 580, H = 2.23240e+00\n", + "log(Z): -1.15759e+01, tol = 8.64904e+00, K = 1, iteration = 581, H = 2.23147e+00\n", + "log(Z): -1.15611e+01, tol = 8.63228e+00, K = 1, iteration = 582, H = 2.23045e+00\n", + "log(Z): -1.15465e+01, tol = 8.61566e+00, K = 1, iteration = 583, H = 2.22934e+00\n", + "log(Z): -1.15316e+01, tol = 8.59877e+00, K = 1, iteration = 584, H = 2.22854e+00\n", + "log(Z): -1.15168e+01, tol = 8.58196e+00, K = 1, iteration = 585, H = 2.22770e+00\n", + "log(Z): -1.15018e+01, tol = 8.56492e+00, K = 1, iteration = 586, H = 2.22712e+00\n", + "log(Z): -1.14869e+01, tol = 8.54803e+00, K = 1, iteration = 587, H = 2.22643e+00\n", + "log(Z): -1.14721e+01, tol = 8.53123e+00, K = 1, iteration = 588, H = 2.22570e+00\n", + "log(Z): -1.14574e+01, tol = 8.51457e+00, K = 1, iteration = 589, H = 2.22488e+00\n", + "log(Z): -1.14428e+01, tol = 8.49796e+00, K = 1, iteration = 590, H = 2.22405e+00\n", + "log(Z): -1.14281e+01, tol = 8.48124e+00, K = 1, iteration = 591, H = 2.22337e+00\n", + "log(Z): -1.14135e+01, tol = 8.46463e+00, K = 1, iteration = 592, H = 2.22262e+00\n", + "log(Z): -1.13991e+01, tol = 8.44822e+00, K = 1, iteration = 593, H = 2.22172e+00\n", + "log(Z): -1.13847e+01, tol = 8.43191e+00, K = 1, iteration = 594, H = 2.22078e+00\n", + "log(Z): -1.13706e+01, tol = 8.41579e+00, K = 1, iteration = 595, H = 2.21970e+00\n", + "log(Z): -1.13562e+01, tol = 8.39934e+00, K = 1, iteration = 596, H = 2.21896e+00\n", + "log(Z): -1.13419e+01, tol = 8.38305e+00, K = 1, iteration = 597, H = 2.21812e+00\n", + "log(Z): -1.13276e+01, tol = 8.36683e+00, K = 1, iteration = 598, H = 2.21725e+00\n", + "log(Z): -1.13136e+01, tol = 8.35082e+00, K = 1, iteration = 599, H = 2.21624e+00\n", + "log(Z): -1.12997e+01, tol = 8.33489e+00, K = 1, iteration = 600, H = 2.21518e+00\n", + "log(Z): -1.12859e+01, tol = 8.31908e+00, K = 1, iteration = 601, H = 2.21406e+00\n", + "log(Z): -1.12720e+01, tol = 8.30325e+00, K = 1, iteration = 602, H = 2.21301e+00\n", + 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8.12143e+00, K = 1, iteration = 614, H = 2.19644e+00\n", + "log(Z): -1.11013e+01, tol = 8.10658e+00, K = 1, iteration = 615, H = 2.19507e+00\n", + "log(Z): -1.10885e+01, tol = 8.09174e+00, K = 1, iteration = 616, H = 2.19374e+00\n", + "log(Z): -1.10758e+01, tol = 8.07707e+00, K = 1, iteration = 617, H = 2.19230e+00\n", + "log(Z): -1.10631e+01, tol = 8.06240e+00, K = 1, iteration = 618, H = 2.19090e+00\n", + "log(Z): -1.10502e+01, tol = 8.04751e+00, K = 1, iteration = 619, H = 2.18975e+00\n", + "log(Z): -1.10375e+01, tol = 8.03275e+00, K = 1, iteration = 620, H = 2.18852e+00\n", + "log(Z): -1.10249e+01, tol = 8.01817e+00, K = 1, iteration = 621, H = 2.18717e+00\n", + "log(Z): -1.10124e+01, tol = 8.00369e+00, K = 1, iteration = 622, H = 2.18576e+00\n", + "log(Z): -1.10000e+01, tol = 7.98932e+00, K = 1, iteration = 623, H = 2.18431e+00\n", + "log(Z): -1.09876e+01, tol = 7.97491e+00, K = 1, iteration = 624, H = 2.18294e+00\n", + "log(Z): -1.09753e+01, tol = 7.96063e+00, K = 1, iteration = 625, H = 2.18148e+00\n", + "log(Z): -1.09631e+01, tol = 7.94642e+00, K = 1, iteration = 626, H = 2.18002e+00\n", + "log(Z): -1.09509e+01, tol = 7.93223e+00, K = 1, iteration = 627, H = 2.17857e+00\n", + "log(Z): -1.09389e+01, tol = 7.91818e+00, K = 1, iteration = 628, H = 2.17704e+00\n", + "log(Z): -1.09269e+01, tol = 7.90420e+00, K = 1, iteration = 629, H = 2.17550e+00\n", + "log(Z): -1.09150e+01, tol = 7.89032e+00, K = 1, iteration = 630, H = 2.17391e+00\n", + "log(Z): -1.09031e+01, tol = 7.87644e+00, K = 1, iteration = 631, H = 2.17237e+00\n", + "log(Z): -1.08913e+01, tol = 7.86260e+00, K = 1, iteration = 632, H = 2.17084e+00\n", + "log(Z): -1.08795e+01, tol = 7.84889e+00, K = 1, iteration = 633, H = 2.16923e+00\n", + "log(Z): -1.08679e+01, tol = 7.83527e+00, K = 1, iteration = 634, H = 2.16758e+00\n", + "log(Z): -1.08564e+01, tol = 7.82180e+00, K = 1, iteration = 635, H = 2.16585e+00\n", + "log(Z): -1.08449e+01, tol = 7.80823e+00, K = 1, iteration = 636, H = 2.16425e+00\n", + 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7.64512e+00, K = 1, iteration = 648, H = 2.14835e+00\n", + "log(Z): -1.06943e+01, tol = 7.63172e+00, K = 1, iteration = 649, H = 2.14710e+00\n", + "log(Z): -1.06830e+01, tol = 7.61847e+00, K = 1, iteration = 650, H = 2.14576e+00\n", + "log(Z): -1.06719e+01, tol = 7.60531e+00, K = 1, iteration = 651, H = 2.14437e+00\n", + "log(Z): -1.06607e+01, tol = 7.59220e+00, K = 1, iteration = 652, H = 2.14298e+00\n", + "log(Z): -1.06497e+01, tol = 7.57921e+00, K = 1, iteration = 653, H = 2.14151e+00\n", + "log(Z): -1.06388e+01, tol = 7.56631e+00, K = 1, iteration = 654, H = 2.14001e+00\n", + "log(Z): -1.06280e+01, tol = 7.55352e+00, K = 1, iteration = 655, H = 2.13846e+00\n", + "log(Z): -1.06174e+01, tol = 7.54085e+00, K = 1, iteration = 656, H = 2.13683e+00\n", + "log(Z): -1.06068e+01, tol = 7.52831e+00, K = 1, iteration = 657, H = 2.13514e+00\n", + "log(Z): -1.05964e+01, tol = 7.51586e+00, K = 1, iteration = 658, H = 2.13342e+00\n", + "log(Z): -1.05857e+01, tol = 7.50322e+00, K = 1, iteration = 659, H = 2.13189e+00\n", + "log(Z): -1.05746e+01, tol = 7.49016e+00, K = 1, iteration = 660, H = 2.13076e+00\n", + "log(Z): -1.05637e+01, tol = 7.47721e+00, K = 1, iteration = 661, H = 2.12957e+00\n", + "log(Z): -1.05523e+01, tol = 7.46379e+00, K = 1, iteration = 662, H = 2.12886e+00\n", + "log(Z): -1.05409e+01, tol = 7.45046e+00, K = 1, iteration = 663, H = 2.12808e+00\n", + "log(Z): -1.05297e+01, tol = 7.43725e+00, K = 1, iteration = 664, H = 2.12722e+00\n", + "log(Z): -1.05184e+01, tol = 7.42399e+00, K = 1, iteration = 665, H = 2.12644e+00\n", + "log(Z): -1.05073e+01, tol = 7.41087e+00, K = 1, iteration = 666, H = 2.12556e+00\n", + "log(Z): -1.04963e+01, tol = 7.39790e+00, K = 1, iteration = 667, H = 2.12459e+00\n", + "log(Z): -1.04854e+01, tol = 7.38502e+00, K = 1, iteration = 668, H = 2.12356e+00\n", + "log(Z): -1.04747e+01, tol = 7.37226e+00, K = 1, iteration = 669, H = 2.12245e+00\n", + "log(Z): -1.04638e+01, tol = 7.35943e+00, K = 1, iteration = 670, H = 2.12145e+00\n", + 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7.20409e+00, K = 1, iteration = 682, H = 2.11297e+00\n", + "log(Z): -1.03218e+01, tol = 7.19148e+00, K = 1, iteration = 683, H = 2.11214e+00\n", + "log(Z): -1.03113e+01, tol = 7.17898e+00, K = 1, iteration = 684, H = 2.11125e+00\n", + "log(Z): -1.03008e+01, tol = 7.16653e+00, K = 1, iteration = 685, H = 2.11033e+00\n", + "log(Z): -1.02904e+01, tol = 7.15415e+00, K = 1, iteration = 686, H = 2.10939e+00\n", + "log(Z): -1.02801e+01, tol = 7.14185e+00, K = 1, iteration = 687, H = 2.10840e+00\n", + "log(Z): -1.02698e+01, tol = 7.12960e+00, K = 1, iteration = 688, H = 2.10739e+00\n", + "log(Z): -1.02596e+01, tol = 7.11733e+00, K = 1, iteration = 689, H = 2.10644e+00\n", + "log(Z): -1.02494e+01, tol = 7.10517e+00, K = 1, iteration = 690, H = 2.10542e+00\n", + "log(Z): -1.02391e+01, tol = 7.09285e+00, K = 1, iteration = 691, H = 2.10456e+00\n", + "log(Z): -1.02288e+01, tol = 7.08060e+00, K = 1, iteration = 692, H = 2.10368e+00\n", + "log(Z): -1.02185e+01, tol = 7.06827e+00, K = 1, iteration = 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6.79443e+00, K = 1, iteration = 716, H = 2.08390e+00\n", + "log(Z): -9.98060e+00, tol = 6.78269e+00, K = 1, iteration = 717, H = 2.08325e+00\n", + "log(Z): -9.97095e+00, tol = 6.77106e+00, K = 1, iteration = 718, H = 2.08254e+00\n", + "log(Z): -9.96142e+00, tol = 6.75953e+00, K = 1, iteration = 719, H = 2.08174e+00\n", + "log(Z): -9.95193e+00, tol = 6.74806e+00, K = 1, iteration = 720, H = 2.08093e+00\n", + "log(Z): -9.94243e+00, tol = 6.73658e+00, K = 1, iteration = 721, H = 2.08016e+00\n", + "log(Z): -9.93294e+00, tol = 6.72510e+00, K = 1, iteration = 722, H = 2.07940e+00\n", + "log(Z): -9.92354e+00, tol = 6.71372e+00, K = 1, iteration = 723, H = 2.07859e+00\n", + "log(Z): -9.91419e+00, tol = 6.70238e+00, K = 1, iteration = 724, H = 2.07775e+00\n", + "log(Z): -9.90493e+00, tol = 6.69113e+00, K = 1, iteration = 725, H = 2.07687e+00\n", + "log(Z): -9.89555e+00, tol = 6.67976e+00, K = 1, iteration = 726, H = 2.07612e+00\n", + "log(Z): -9.88601e+00, tol = 6.66824e+00, K = 1, iteration = 727, H = 2.07554e+00\n", + "log(Z): -9.87628e+00, tol = 6.65652e+00, K = 1, iteration = 728, H = 2.07517e+00\n", + "log(Z): -9.86653e+00, tol = 6.64479e+00, K = 1, iteration = 729, H = 2.07484e+00\n", + "log(Z): -9.85650e+00, tol = 6.63278e+00, K = 1, iteration = 730, H = 2.07480e+00\n", + "log(Z): -9.84656e+00, tol = 6.62085e+00, K = 1, iteration = 731, H = 2.07470e+00\n", + "log(Z): -9.83656e+00, tol = 6.60887e+00, K = 1, iteration = 732, H = 2.07468e+00\n", + "log(Z): -9.82668e+00, tol = 6.59701e+00, K = 1, iteration = 733, H = 2.07456e+00\n", + "log(Z): -9.81691e+00, tol = 6.58525e+00, K = 1, iteration = 734, H = 2.07435e+00\n", + "log(Z): -9.80723e+00, tol = 6.57359e+00, K = 1, iteration = 735, H = 2.07408e+00\n", + "log(Z): -9.79745e+00, tol = 6.56182e+00, K = 1, iteration = 736, H = 2.07392e+00\n", + "log(Z): -9.78761e+00, tol = 6.54999e+00, K = 1, iteration = 737, H = 2.07385e+00\n", + "log(Z): -9.77768e+00, tol = 6.53809e+00, K = 1, iteration = 738, H = 2.07388e+00\n", + 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6.39663e+00, K = 1, iteration = 750, H = 2.07438e+00\n", + "log(Z): -9.65003e+00, tol = 6.38468e+00, K = 1, iteration = 751, H = 2.07470e+00\n", + "log(Z): -9.64018e+00, tol = 6.37285e+00, K = 1, iteration = 752, H = 2.07492e+00\n", + "log(Z): -9.63027e+00, tol = 6.36096e+00, K = 1, iteration = 753, H = 2.07522e+00\n", + "log(Z): -9.62040e+00, tol = 6.34911e+00, K = 1, iteration = 754, H = 2.07550e+00\n", + "log(Z): -9.61048e+00, tol = 6.33720e+00, K = 1, iteration = 755, H = 2.07585e+00\n", + "log(Z): -9.60066e+00, tol = 6.32541e+00, K = 1, iteration = 756, H = 2.07610e+00\n", + "log(Z): -9.59097e+00, tol = 6.31374e+00, K = 1, iteration = 757, H = 2.07625e+00\n", + "log(Z): -9.58137e+00, tol = 6.31787e+00, K = 1, iteration = 758, H = 2.07632e+00\n", + "log(Z): -9.57184e+00, tol = 6.30636e+00, K = 1, iteration = 759, H = 2.07633e+00\n", + "log(Z): -9.56235e+00, tol = 6.29489e+00, K = 1, iteration = 760, H = 2.07633e+00\n", + "log(Z): -9.55290e+00, tol = 6.28346e+00, K = 1, iteration = 761, H = 2.07631e+00\n", + "log(Z): -9.54352e+00, tol = 6.27211e+00, K = 1, iteration = 762, H = 2.07623e+00\n", + "log(Z): -9.53422e+00, tol = 6.26082e+00, K = 1, iteration = 763, H = 2.07611e+00\n", + "log(Z): -9.52496e+00, tol = 6.24958e+00, K = 1, iteration = 764, H = 2.07596e+00\n", + "log(Z): -9.51576e+00, tol = 6.23841e+00, K = 1, iteration = 765, H = 2.07576e+00\n", + "log(Z): -9.50662e+00, tol = 6.22729e+00, K = 1, iteration = 766, H = 2.07553e+00\n", + "log(Z): -9.49746e+00, tol = 6.21615e+00, K = 1, iteration = 767, H = 2.07534e+00\n", + "log(Z): -9.48839e+00, tol = 6.20511e+00, K = 1, iteration = 768, H = 2.07508e+00\n", + "log(Z): -9.47937e+00, tol = 6.19411e+00, K = 1, iteration = 769, H = 2.07480e+00\n", + "log(Z): -9.47031e+00, tol = 6.18307e+00, K = 1, iteration = 770, H = 2.07457e+00\n", + "log(Z): -9.46127e+00, tol = 6.17206e+00, K = 1, iteration = 771, H = 2.07434e+00\n", + "log(Z): -9.45218e+00, tol = 6.16098e+00, K = 1, iteration = 772, H = 2.07419e+00\n", + 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6.03095e+00, K = 1, iteration = 784, H = 2.07119e+00\n", + "log(Z): -9.33697e+00, tol = 6.02010e+00, K = 1, iteration = 785, H = 2.07109e+00\n", + "log(Z): -9.32817e+00, tol = 6.00932e+00, K = 1, iteration = 786, H = 2.07093e+00\n", + "log(Z): -9.31928e+00, tol = 5.99846e+00, K = 1, iteration = 787, H = 2.07088e+00\n", + "log(Z): -9.31036e+00, tol = 5.98757e+00, K = 1, iteration = 788, H = 2.07087e+00\n", + "log(Z): -9.30146e+00, tol = 5.97669e+00, K = 1, iteration = 789, H = 2.07086e+00\n", + "log(Z): -9.29264e+00, tol = 5.96590e+00, K = 1, iteration = 790, H = 2.07079e+00\n", + "log(Z): -9.28390e+00, tol = 5.95519e+00, K = 1, iteration = 791, H = 2.07066e+00\n", + "log(Z): -9.27517e+00, tol = 5.94449e+00, K = 1, iteration = 792, H = 2.07054e+00\n", + "log(Z): -9.26650e+00, tol = 5.93385e+00, K = 1, iteration = 793, H = 2.07037e+00\n", + "log(Z): -9.25787e+00, tol = 5.92325e+00, K = 1, iteration = 794, H = 2.07019e+00\n", + "log(Z): -9.24934e+00, tol = 5.91274e+00, K = 1, iteration = 795, H = 2.06993e+00\n", + "log(Z): -9.24087e+00, tol = 5.90230e+00, K = 1, iteration = 796, H = 2.06963e+00\n", + "log(Z): -9.23243e+00, tol = 5.89188e+00, K = 1, iteration = 797, H = 2.06932e+00\n", + "log(Z): -9.22405e+00, tol = 5.88154e+00, K = 1, iteration = 798, H = 2.06897e+00\n", + "log(Z): -9.21576e+00, tol = 5.87127e+00, K = 1, iteration = 799, H = 2.06856e+00\n", + "log(Z): -9.20754e+00, tol = 5.86108e+00, K = 1, iteration = 800, H = 2.06810e+00\n", + "log(Z): -9.19938e+00, tol = 5.85096e+00, K = 1, iteration = 801, H = 2.06760e+00\n", + "log(Z): -9.19130e+00, tol = 5.84090e+00, K = 1, iteration = 802, H = 2.06706e+00\n", + "log(Z): -9.18321e+00, tol = 5.83085e+00, K = 1, iteration = 803, H = 2.06653e+00\n", + "log(Z): -9.17520e+00, tol = 5.82086e+00, K = 1, iteration = 804, H = 2.06596e+00\n", + "log(Z): -9.16727e+00, tol = 5.81096e+00, K = 1, iteration = 805, H = 2.06534e+00\n", + "log(Z): -9.15939e+00, tol = 5.80111e+00, K = 1, iteration = 806, H = 2.06468e+00\n", + 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5.68289e+00, K = 1, iteration = 818, H = 2.05846e+00\n", + "log(Z): -9.05703e+00, tol = 5.67317e+00, K = 1, iteration = 819, H = 2.05794e+00\n", + "log(Z): -9.04929e+00, tol = 5.66346e+00, K = 1, iteration = 820, H = 2.05744e+00\n", + "log(Z): -9.04158e+00, tol = 5.65378e+00, K = 1, iteration = 821, H = 2.05692e+00\n", + "log(Z): -9.03395e+00, tol = 5.64418e+00, K = 1, iteration = 822, H = 2.05636e+00\n", + "log(Z): -9.02629e+00, tol = 5.63456e+00, K = 1, iteration = 823, H = 2.05583e+00\n", + "log(Z): -9.01870e+00, tol = 5.62500e+00, K = 1, iteration = 824, H = 2.05527e+00\n", + "log(Z): -9.01108e+00, tol = 5.61542e+00, K = 1, iteration = 825, H = 2.05474e+00\n", + "log(Z): -9.00351e+00, tol = 5.60589e+00, K = 1, iteration = 826, H = 2.05419e+00\n", + "log(Z): -8.99595e+00, tol = 5.59636e+00, K = 1, iteration = 827, H = 2.05365e+00\n", + "log(Z): -8.98836e+00, tol = 5.58681e+00, K = 1, iteration = 828, H = 2.05316e+00\n", + "log(Z): -8.98082e+00, tol = 5.57731e+00, K = 1, iteration = 829, H = 2.05264e+00\n", + "log(Z): -8.97334e+00, tol = 5.56786e+00, K = 1, iteration = 830, H = 2.05209e+00\n", + "log(Z): -8.96591e+00, tol = 5.55847e+00, K = 1, iteration = 831, H = 2.05151e+00\n", + "log(Z): -8.95846e+00, tol = 5.54905e+00, K = 1, iteration = 832, H = 2.05096e+00\n", + "log(Z): -8.95107e+00, tol = 5.53970e+00, K = 1, iteration = 833, H = 2.05038e+00\n", + "log(Z): -8.94372e+00, tol = 5.53038e+00, K = 1, iteration = 834, H = 2.04978e+00\n", + "log(Z): -8.93643e+00, tol = 5.52113e+00, K = 1, iteration = 835, H = 2.04915e+00\n", + "log(Z): -8.92909e+00, tol = 5.51183e+00, K = 1, iteration = 836, H = 2.04857e+00\n", + "log(Z): -8.92173e+00, tol = 5.50251e+00, K = 1, iteration = 837, H = 2.04804e+00\n", + "log(Z): -8.91437e+00, tol = 5.49319e+00, K = 1, iteration = 838, H = 2.04753e+00\n", + "log(Z): -8.90697e+00, tol = 5.48382e+00, K = 1, iteration = 839, H = 2.04707e+00\n", + "log(Z): -8.89962e+00, tol = 5.47451e+00, K = 1, iteration = 840, H = 2.04658e+00\n", + 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4.75799e+00, K = 1, iteration = 920, H = 2.03176e+00\n", + "log(Z): -8.33239e+00, tol = 4.74978e+00, K = 1, iteration = 921, H = 2.03148e+00\n", + "log(Z): -8.32610e+00, tol = 4.74155e+00, K = 1, iteration = 922, H = 2.03121e+00\n", + "log(Z): -8.31984e+00, tol = 4.73337e+00, K = 1, iteration = 923, H = 2.03093e+00\n", + "log(Z): -8.31345e+00, tol = 4.72505e+00, K = 1, iteration = 924, H = 2.03079e+00\n", + "log(Z): -8.30710e+00, tol = 4.71677e+00, K = 1, iteration = 925, H = 2.03063e+00\n", + "log(Z): -8.30066e+00, tol = 4.70841e+00, K = 1, iteration = 926, H = 2.03056e+00\n", + "log(Z): -8.29425e+00, tol = 4.70007e+00, K = 1, iteration = 927, H = 2.03048e+00\n", + "log(Z): -8.28767e+00, tol = 4.69158e+00, K = 1, iteration = 928, H = 2.03057e+00\n", + "log(Z): -8.28103e+00, tol = 4.68302e+00, K = 1, iteration = 929, H = 2.03075e+00\n", + "log(Z): -8.27440e+00, tol = 4.67446e+00, K = 1, iteration = 930, H = 2.03093e+00\n", + "log(Z): -8.26780e+00, tol = 4.66595e+00, K = 1, iteration = 931, H = 2.03108e+00\n", + "log(Z): -8.26126e+00, tol = 4.65748e+00, K = 1, iteration = 932, H = 2.03120e+00\n", + "log(Z): -8.25474e+00, tol = 4.64905e+00, K = 1, iteration = 933, H = 2.03129e+00\n", + "log(Z): -8.24824e+00, tol = 4.64064e+00, K = 1, iteration = 934, H = 2.03138e+00\n", + "log(Z): -8.24175e+00, tol = 4.63222e+00, K = 1, iteration = 935, H = 2.03148e+00\n", + "log(Z): -8.23520e+00, tol = 4.62376e+00, K = 1, iteration = 936, H = 2.03165e+00\n", + "log(Z): -8.22866e+00, tol = 4.61531e+00, K = 1, iteration = 937, H = 2.03182e+00\n", + "log(Z): -8.22206e+00, tol = 4.60679e+00, K = 1, iteration = 938, H = 2.03206e+00\n", + "log(Z): -8.21547e+00, tol = 4.59829e+00, K = 1, iteration = 939, H = 2.03231e+00\n", + "log(Z): -8.20890e+00, tol = 4.58980e+00, K = 1, iteration = 940, H = 2.03255e+00\n", + "log(Z): -8.20224e+00, tol = 4.58122e+00, K = 1, iteration = 941, H = 2.03289e+00\n", + "log(Z): -8.19562e+00, tol = 4.57270e+00, K = 1, iteration = 942, H = 2.03320e+00\n", + 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4.47011e+00, K = 1, iteration = 954, H = 2.03803e+00\n", + "log(Z): -8.10949e+00, tol = 4.46179e+00, K = 1, iteration = 955, H = 2.03827e+00\n", + "log(Z): -8.10308e+00, tol = 4.45348e+00, K = 1, iteration = 956, H = 2.03850e+00\n", + "log(Z): -8.09668e+00, tol = 4.44518e+00, K = 1, iteration = 957, H = 2.03874e+00\n", + "log(Z): -8.09033e+00, tol = 4.43692e+00, K = 1, iteration = 958, H = 2.03894e+00\n", + "log(Z): -8.08397e+00, tol = 4.42867e+00, K = 1, iteration = 959, H = 2.03916e+00\n", + "log(Z): -8.07765e+00, tol = 4.42044e+00, K = 1, iteration = 960, H = 2.03936e+00\n", + "log(Z): -8.07137e+00, tol = 4.41226e+00, K = 1, iteration = 961, H = 2.03952e+00\n", + "log(Z): -8.06512e+00, tol = 4.40411e+00, K = 1, iteration = 962, H = 2.03966e+00\n", + "log(Z): -8.05884e+00, tol = 4.39594e+00, K = 1, iteration = 963, H = 2.03984e+00\n", + "log(Z): -8.05261e+00, tol = 4.38781e+00, K = 1, iteration = 964, H = 2.03999e+00\n", + "log(Z): -8.04642e+00, tol = 4.37972e+00, K = 1, iteration = 965, H = 2.04011e+00\n", + "log(Z): -8.04014e+00, tol = 4.37155e+00, K = 1, iteration = 966, H = 2.04032e+00\n", + "log(Z): -8.03385e+00, tol = 4.36336e+00, K = 1, iteration = 967, H = 2.04057e+00\n", + "log(Z): -8.02759e+00, tol = 4.35520e+00, K = 1, iteration = 968, H = 2.04079e+00\n", + "log(Z): -8.02136e+00, tol = 4.34708e+00, K = 1, iteration = 969, H = 2.04099e+00\n", + "log(Z): -8.01517e+00, tol = 4.33900e+00, K = 1, iteration = 970, H = 2.04116e+00\n", + "log(Z): -8.00902e+00, tol = 4.33096e+00, K = 1, iteration = 971, H = 2.04130e+00\n", + "log(Z): -8.00288e+00, tol = 4.32292e+00, K = 1, iteration = 972, H = 2.04145e+00\n", + "log(Z): -7.99678e+00, tol = 4.31493e+00, K = 1, iteration = 973, H = 2.04156e+00\n", + "log(Z): -7.99067e+00, tol = 4.30693e+00, K = 1, iteration = 974, H = 2.04169e+00\n", + "log(Z): -7.98455e+00, tol = 4.29892e+00, K = 1, iteration = 975, H = 2.04185e+00\n", + "log(Z): -7.97848e+00, tol = 4.29096e+00, K = 1, iteration = 976, H = 2.04196e+00\n", + 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2.04125e+00\n", + "log(Z): -7.77819e+00, tol = 4.02491e+00, K = 1, iteration = 1011, H = 2.04128e+00\n", + "log(Z): -7.77263e+00, tol = 4.01749e+00, K = 1, iteration = 1012, H = 2.04130e+00\n", + "log(Z): -7.76707e+00, tol = 4.01006e+00, K = 1, iteration = 1013, H = 2.04134e+00\n", + "log(Z): -7.76147e+00, tol = 4.00260e+00, K = 1, iteration = 1014, H = 2.04142e+00\n", + "log(Z): -7.75587e+00, tol = 3.99513e+00, K = 1, iteration = 1015, H = 2.04152e+00\n", + "log(Z): -7.75020e+00, tol = 3.98761e+00, K = 1, iteration = 1016, H = 2.04170e+00\n", + "log(Z): -7.74456e+00, tol = 3.98011e+00, K = 1, iteration = 1017, H = 2.04186e+00\n", + "log(Z): -7.73874e+00, tol = 3.97244e+00, K = 1, iteration = 1018, H = 2.04221e+00\n", + "log(Z): -7.73291e+00, tol = 3.96476e+00, K = 1, iteration = 1019, H = 2.04259e+00\n", + "log(Z): -7.72712e+00, tol = 3.95711e+00, K = 1, iteration = 1020, H = 2.04293e+00\n", + "log(Z): -7.72122e+00, tol = 3.94937e+00, K = 1, iteration = 1021, H = 2.04340e+00\n", + 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3.77544e+00, K = 1, iteration = 1044, H = 2.05242e+00\n", + "log(Z): -7.58400e+00, tol = 3.76806e+00, K = 1, iteration = 1045, H = 2.05274e+00\n", + "log(Z): -7.57849e+00, tol = 3.76072e+00, K = 1, iteration = 1046, H = 2.05303e+00\n", + "log(Z): -7.57297e+00, tol = 3.75338e+00, K = 1, iteration = 1047, H = 2.05333e+00\n", + "log(Z): -7.56744e+00, tol = 3.74603e+00, K = 1, iteration = 1048, H = 2.05365e+00\n", + "log(Z): -7.56194e+00, tol = 3.73870e+00, K = 1, iteration = 1049, H = 2.05395e+00\n", + "log(Z): -7.55643e+00, tol = 3.73137e+00, K = 1, iteration = 1050, H = 2.05427e+00\n", + "log(Z): -7.55093e+00, tol = 3.72405e+00, K = 1, iteration = 1051, H = 2.05460e+00\n", + "log(Z): -7.54543e+00, tol = 3.71674e+00, K = 1, iteration = 1052, H = 2.05492e+00\n", + "log(Z): -7.53989e+00, tol = 3.70938e+00, K = 1, iteration = 1053, H = 2.05530e+00\n", + "log(Z): -7.53437e+00, tol = 3.70205e+00, K = 1, iteration = 1054, H = 2.05567e+00\n", + "log(Z): -7.52889e+00, tol = 3.69475e+00, K = 1, iteration = 1055, H = 2.05601e+00\n", + "log(Z): -7.52343e+00, tol = 3.68748e+00, K = 1, iteration = 1056, H = 2.05632e+00\n", + "log(Z): -7.51798e+00, tol = 3.68021e+00, K = 1, iteration = 1057, H = 2.05665e+00\n", + "log(Z): -7.51253e+00, tol = 3.67295e+00, K = 1, iteration = 1058, H = 2.05698e+00\n", + "log(Z): -7.50688e+00, tol = 3.66550e+00, K = 1, iteration = 1059, H = 2.05753e+00\n", + "log(Z): -7.50127e+00, tol = 3.65809e+00, K = 1, iteration = 1060, H = 2.05805e+00\n", + "log(Z): -7.49562e+00, tol = 3.65063e+00, K = 1, iteration = 1061, H = 2.05862e+00\n", + "log(Z): -7.49001e+00, tol = 3.64322e+00, K = 1, iteration = 1062, H = 2.05916e+00\n", + "log(Z): -7.48441e+00, tol = 3.63581e+00, K = 1, iteration = 1063, H = 2.05970e+00\n", + "log(Z): -7.47879e+00, tol = 3.62840e+00, K = 1, iteration = 1064, H = 2.06026e+00\n", + "log(Z): -7.47320e+00, tol = 3.62101e+00, K = 1, iteration = 1065, H = 2.06080e+00\n", + "log(Z): -7.46763e+00, tol = 3.61365e+00, K = 1, iteration = 1066, H = 2.06132e+00\n", + "log(Z): -7.46207e+00, tol = 3.60629e+00, K = 1, iteration = 1067, H = 2.06184e+00\n", + "log(Z): -7.45653e+00, tol = 3.59896e+00, K = 1, iteration = 1068, H = 2.06235e+00\n", + "log(Z): -7.45096e+00, tol = 3.59160e+00, K = 1, iteration = 1069, H = 2.06290e+00\n", + "log(Z): -7.44540e+00, tol = 3.58424e+00, K = 1, iteration = 1070, H = 2.06345e+00\n", + "log(Z): -7.43980e+00, tol = 3.57686e+00, K = 1, iteration = 1071, H = 2.06404e+00\n", + "log(Z): -7.43421e+00, tol = 3.56947e+00, K = 1, iteration = 1072, H = 2.06465e+00\n", + "log(Z): -7.42862e+00, tol = 3.56211e+00, K = 1, iteration = 1073, H = 2.06524e+00\n", + "log(Z): -7.42307e+00, tol = 3.55476e+00, K = 1, iteration = 1074, H = 2.06582e+00\n", + "log(Z): -7.41748e+00, tol = 3.54740e+00, K = 1, iteration = 1075, H = 2.06642e+00\n", + "log(Z): -7.41193e+00, tol = 3.54006e+00, K = 1, iteration = 1076, H = 2.06701e+00\n", + "log(Z): -7.40641e+00, tol = 3.53276e+00, K = 1, iteration = 1077, H = 2.06757e+00\n", + 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3.36890e+00, K = 1, iteration = 1100, H = 2.07853e+00\n", + "log(Z): -7.27807e+00, tol = 3.36204e+00, K = 1, iteration = 1101, H = 2.07883e+00\n", + "log(Z): -7.27294e+00, tol = 3.35516e+00, K = 1, iteration = 1102, H = 2.07916e+00\n", + "log(Z): -7.26781e+00, tol = 3.34828e+00, K = 1, iteration = 1103, H = 2.07951e+00\n", + "log(Z): -7.26270e+00, tol = 3.34142e+00, K = 1, iteration = 1104, H = 2.07985e+00\n", + "log(Z): -7.25762e+00, tol = 3.33459e+00, K = 1, iteration = 1105, H = 2.08016e+00\n", + "log(Z): -7.25257e+00, tol = 3.32780e+00, K = 1, iteration = 1106, H = 2.08044e+00\n", + "log(Z): -7.24755e+00, tol = 3.32103e+00, K = 1, iteration = 1107, H = 2.08071e+00\n", + "log(Z): -7.24254e+00, tol = 3.31428e+00, K = 1, iteration = 1108, H = 2.08097e+00\n", + "log(Z): -7.23757e+00, tol = 3.30755e+00, K = 1, iteration = 1109, H = 2.08120e+00\n", + "log(Z): -7.23262e+00, tol = 3.30086e+00, K = 1, iteration = 1110, H = 2.08142e+00\n", + "log(Z): -7.22765e+00, tol = 3.29415e+00, K = 1, iteration = 1111, H = 2.08167e+00\n", + "log(Z): -7.22268e+00, tol = 3.28744e+00, K = 1, iteration = 1112, H = 2.08192e+00\n", + "log(Z): -7.21770e+00, tol = 3.28072e+00, K = 1, iteration = 1113, H = 2.08220e+00\n", + "log(Z): -7.21269e+00, tol = 3.27397e+00, K = 1, iteration = 1114, H = 2.08251e+00\n", + "log(Z): -7.20771e+00, tol = 3.26726e+00, K = 1, iteration = 1115, H = 2.08280e+00\n", + "log(Z): -7.20276e+00, tol = 3.26058e+00, K = 1, iteration = 1116, H = 2.08307e+00\n", + "log(Z): -7.19783e+00, tol = 3.25391e+00, K = 1, iteration = 1117, H = 2.08333e+00\n", + "log(Z): -7.19290e+00, tol = 3.24725e+00, K = 1, iteration = 1118, H = 2.08360e+00\n", + "log(Z): -7.18799e+00, tol = 3.24061e+00, K = 1, iteration = 1119, H = 2.08385e+00\n", + "log(Z): -7.18309e+00, tol = 3.23399e+00, K = 1, iteration = 1120, H = 2.08409e+00\n", + "log(Z): -7.17818e+00, tol = 3.22735e+00, K = 1, iteration = 1121, H = 2.08436e+00\n", + "log(Z): -7.17329e+00, tol = 3.22073e+00, K = 1, iteration = 1122, H = 2.08462e+00\n", + "log(Z): -7.16839e+00, tol = 3.21411e+00, K = 1, iteration = 1123, H = 2.08490e+00\n", + "log(Z): -7.16352e+00, tol = 3.20751e+00, K = 1, iteration = 1124, H = 2.08515e+00\n", + "log(Z): -7.15861e+00, tol = 3.20088e+00, K = 1, iteration = 1125, H = 2.08546e+00\n", + "log(Z): -7.15371e+00, tol = 3.19426e+00, K = 1, iteration = 1126, H = 2.08576e+00\n", + "log(Z): -7.14878e+00, tol = 3.18762e+00, K = 1, iteration = 1127, H = 2.08610e+00\n", + "log(Z): -7.14382e+00, tol = 3.18095e+00, K = 1, iteration = 1128, H = 2.08648e+00\n", + "log(Z): -7.13888e+00, tol = 3.17430e+00, K = 1, iteration = 1129, H = 2.08685e+00\n", + "log(Z): -7.13397e+00, tol = 3.16768e+00, K = 1, iteration = 1130, H = 2.08719e+00\n", + "log(Z): -7.12909e+00, tol = 3.16109e+00, K = 1, iteration = 1131, H = 2.08751e+00\n", + "log(Z): -7.12423e+00, tol = 3.15452e+00, K = 1, iteration = 1132, H = 2.08782e+00\n", + "log(Z): -7.11939e+00, tol = 3.14797e+00, K = 1, iteration = 1133, H = 2.08811e+00\n", + "log(Z): -7.11456e+00, tol = 3.14143e+00, K = 1, iteration = 1134, H = 2.08841e+00\n", + "log(Z): -7.10973e+00, tol = 3.13490e+00, K = 1, iteration = 1135, H = 2.08871e+00\n", + "log(Z): -7.10492e+00, tol = 3.12839e+00, K = 1, iteration = 1136, H = 2.08899e+00\n", + "log(Z): -7.10011e+00, tol = 3.12188e+00, K = 1, iteration = 1137, H = 2.08929e+00\n", + "log(Z): -7.09532e+00, tol = 3.11538e+00, K = 1, iteration = 1138, H = 2.08958e+00\n", + "log(Z): -7.09050e+00, tol = 3.10887e+00, K = 1, iteration = 1139, H = 2.08989e+00\n", + "log(Z): -7.08571e+00, tol = 3.10238e+00, K = 1, iteration = 1140, H = 2.09020e+00\n", + "log(Z): -7.08091e+00, tol = 3.09590e+00, K = 1, iteration = 1141, H = 2.09051e+00\n", + "log(Z): -7.07614e+00, tol = 3.08943e+00, K = 1, iteration = 1142, H = 2.09081e+00\n", + "log(Z): -7.07137e+00, tol = 3.08297e+00, K = 1, iteration = 1143, H = 2.09111e+00\n", + "log(Z): -7.06663e+00, tol = 3.07654e+00, K = 1, iteration = 1144, H = 2.09138e+00\n", + "log(Z): -7.06192e+00, tol = 3.07014e+00, K = 1, iteration = 1145, H = 2.09164e+00\n", + "log(Z): -7.05723e+00, tol = 3.06376e+00, K = 1, iteration = 1146, H = 2.09188e+00\n", + "log(Z): -7.05255e+00, tol = 3.05739e+00, K = 1, iteration = 1147, H = 2.09212e+00\n", + "log(Z): -7.04790e+00, tol = 3.05106e+00, K = 1, iteration = 1148, H = 2.09233e+00\n", + "log(Z): -7.04327e+00, tol = 3.04474e+00, K = 1, iteration = 1149, H = 2.09254e+00\n", + "log(Z): -7.03867e+00, tol = 3.03846e+00, K = 1, iteration = 1150, H = 2.09272e+00\n", + "log(Z): -7.03409e+00, tol = 3.03219e+00, K = 1, iteration = 1151, H = 2.09289e+00\n", + "log(Z): -7.02949e+00, tol = 3.02592e+00, K = 1, iteration = 1152, H = 2.09308e+00\n", + "log(Z): -7.02493e+00, tol = 3.01967e+00, K = 1, iteration = 1153, H = 2.09325e+00\n", + "log(Z): -7.02036e+00, tol = 3.01342e+00, K = 1, iteration = 1154, H = 2.09343e+00\n", + "log(Z): -7.01581e+00, tol = 3.00720e+00, K = 1, iteration = 1155, H = 2.09360e+00\n", + "log(Z): -7.01128e+00, tol = 3.00099e+00, K = 1, iteration = 1156, H = 2.09376e+00\n", + "log(Z): -7.00677e+00, tol = 2.99480e+00, K = 1, iteration = 1157, H = 2.09391e+00\n", + "log(Z): -7.00225e+00, tol = 2.98861e+00, K = 1, iteration = 1158, H = 2.09407e+00\n", + "log(Z): -6.99775e+00, tol = 2.98244e+00, K = 1, iteration = 1159, H = 2.09422e+00\n", + "log(Z): -6.99328e+00, tol = 2.97630e+00, K = 1, iteration = 1160, H = 2.09435e+00\n", + "log(Z): -6.98884e+00, tol = 2.97019e+00, K = 1, iteration = 1161, H = 2.09446e+00\n", + "log(Z): -6.98440e+00, tol = 2.96408e+00, K = 1, iteration = 1162, H = 2.09457e+00\n", + "log(Z): -6.97999e+00, tol = 2.95800e+00, K = 1, iteration = 1163, H = 2.09467e+00\n", + "log(Z): -6.97560e+00, tol = 2.95194e+00, K = 1, iteration = 1164, H = 2.09475e+00\n", + "log(Z): -6.97122e+00, tol = 2.94590e+00, K = 1, iteration = 1165, H = 2.09483e+00\n", + "log(Z): -6.96685e+00, tol = 2.93987e+00, K = 1, iteration = 1166, H = 2.09490e+00\n", + "log(Z): -6.96250e+00, tol = 2.93385e+00, K = 1, iteration = 1167, H = 2.09497e+00\n", + "log(Z): -6.95814e+00, tol = 2.92784e+00, K = 1, iteration = 1168, H = 2.09505e+00\n", + "log(Z): -6.95381e+00, tol = 2.92184e+00, K = 1, iteration = 1169, H = 2.09512e+00\n", + "log(Z): -6.94949e+00, tol = 2.91586e+00, K = 1, iteration = 1170, H = 2.09518e+00\n", + "log(Z): -6.94520e+00, tol = 2.90991e+00, K = 1, iteration = 1171, H = 2.09522e+00\n", + "log(Z): -6.94090e+00, tol = 2.90396e+00, K = 1, iteration = 1172, H = 2.09527e+00\n", + "log(Z): -6.93661e+00, tol = 2.89801e+00, K = 1, iteration = 1173, H = 2.09533e+00\n", + "log(Z): -6.93231e+00, tol = 2.89206e+00, K = 1, iteration = 1174, H = 2.09540e+00\n", + "log(Z): -6.92803e+00, tol = 2.88614e+00, K = 1, iteration = 1175, H = 2.09546e+00\n", + "log(Z): -6.92377e+00, tol = 2.88023e+00, K = 1, iteration = 1176, H = 2.09551e+00\n", + "log(Z): -6.91954e+00, tol = 2.87434e+00, K = 1, iteration = 1177, H = 2.09554e+00\n", + "log(Z): -6.91532e+00, tol = 2.86847e+00, K = 1, iteration = 1178, H = 2.09557e+00\n", + "log(Z): -6.91109e+00, tol = 2.86260e+00, K = 1, iteration = 1179, H = 2.09561e+00\n", + "log(Z): -6.90689e+00, tol = 2.85676e+00, K = 1, iteration = 1180, H = 2.09563e+00\n", + "log(Z): -6.90270e+00, tol = 2.85092e+00, K = 1, iteration = 1181, H = 2.09566e+00\n", + "log(Z): -6.89851e+00, tol = 2.84509e+00, K = 1, iteration = 1182, H = 2.09569e+00\n", + "log(Z): -6.89434e+00, tol = 2.83928e+00, K = 1, iteration = 1183, H = 2.09570e+00\n", + "log(Z): -6.89017e+00, tol = 2.83347e+00, K = 1, iteration = 1184, H = 2.09572e+00\n", + "log(Z): -6.88597e+00, tol = 2.82764e+00, K = 1, iteration = 1185, H = 2.09578e+00\n", + "log(Z): -6.88180e+00, tol = 2.82183e+00, K = 1, iteration = 1186, H = 2.09583e+00\n", + "log(Z): -6.87764e+00, tol = 2.81604e+00, K = 1, iteration = 1187, H = 2.09587e+00\n", + "log(Z): -6.87351e+00, tol = 2.81028e+00, K = 1, iteration = 1188, H = 2.09589e+00\n", + "log(Z): -6.86939e+00, tol = 2.80453e+00, K = 1, iteration = 1189, H = 2.09590e+00\n", + "log(Z): -6.86529e+00, tol = 2.79880e+00, K = 1, iteration = 1190, H = 2.09591e+00\n", + "log(Z): -6.86121e+00, tol = 2.79309e+00, K = 1, iteration = 1191, H = 2.09590e+00\n", + "log(Z): -6.85712e+00, tol = 2.78737e+00, K = 1, iteration = 1192, H = 2.09591e+00\n", + "log(Z): -6.85301e+00, tol = 2.78165e+00, K = 1, iteration = 1193, H = 2.09594e+00\n", + "log(Z): -6.84893e+00, tol = 2.77594e+00, K = 1, iteration = 1194, H = 2.09596e+00\n", + "log(Z): -6.84487e+00, tol = 2.77026e+00, K = 1, iteration = 1195, H = 2.09597e+00\n", + "log(Z): -6.84082e+00, tol = 2.76459e+00, K = 1, iteration = 1196, H = 2.09597e+00\n", + "log(Z): -6.83679e+00, tol = 2.75894e+00, K = 1, iteration = 1197, H = 2.09596e+00\n", + "log(Z): -6.83278e+00, tol = 2.75331e+00, K = 1, iteration = 1198, H = 2.09594e+00\n", + "log(Z): -6.82877e+00, tol = 2.74768e+00, K = 1, iteration = 1199, H = 2.09593e+00\n", + "log(Z): -6.82476e+00, tol = 2.74206e+00, K = 1, iteration = 1200, H = 2.09592e+00\n", + "log(Z): -6.82076e+00, tol = 2.73645e+00, K = 1, iteration = 1201, H = 2.09591e+00\n", + "log(Z): -6.81677e+00, tol = 2.73085e+00, K = 1, iteration = 1202, H = 2.09591e+00\n", + "log(Z): -6.81280e+00, tol = 2.72527e+00, K = 1, iteration = 1203, H = 2.09588e+00\n", + "log(Z): -6.80885e+00, tol = 2.71971e+00, K = 1, iteration = 1204, H = 2.09585e+00\n", + "log(Z): -6.80492e+00, tol = 2.71417e+00, K = 1, iteration = 1205, H = 2.09581e+00\n", + "log(Z): -6.80099e+00, tol = 2.70863e+00, K = 1, iteration = 1206, H = 2.09577e+00\n", + "log(Z): -6.79709e+00, tol = 2.70312e+00, K = 1, iteration = 1207, H = 2.09572e+00\n", + "log(Z): -6.79317e+00, tol = 2.69760e+00, K = 1, iteration = 1208, H = 2.09568e+00\n", + "log(Z): -6.78924e+00, tol = 2.69208e+00, K = 1, iteration = 1209, H = 2.09567e+00\n", + "log(Z): -6.78529e+00, tol = 2.68653e+00, K = 1, iteration = 1210, H = 2.09568e+00\n", + "log(Z): -6.78136e+00, tol = 2.68101e+00, K = 1, iteration = 1211, H = 2.09568e+00\n", + "log(Z): -6.77745e+00, tol = 2.67551e+00, K = 1, iteration = 1212, H = 2.09567e+00\n", + "log(Z): -6.77357e+00, tol = 2.67002e+00, K = 1, iteration = 1213, H = 2.09565e+00\n", + "log(Z): -6.76970e+00, tol = 2.66456e+00, K = 1, iteration = 1214, H = 2.09562e+00\n", + "log(Z): -6.76584e+00, tol = 2.65912e+00, K = 1, iteration = 1215, H = 2.09558e+00\n", + "log(Z): -6.76201e+00, tol = 2.65369e+00, K = 1, iteration = 1216, H = 2.09553e+00\n", + "log(Z): -6.75813e+00, tol = 2.64822e+00, K = 1, iteration = 1217, H = 2.09553e+00\n", + "log(Z): -6.75424e+00, tol = 2.64276e+00, K = 1, iteration = 1218, H = 2.09554e+00\n", + "log(Z): -6.75038e+00, tol = 2.63732e+00, K = 1, iteration = 1219, H = 2.09553e+00\n", + "log(Z): -6.74654e+00, tol = 2.63190e+00, K = 1, iteration = 1220, H = 2.09552e+00\n", + "log(Z): -6.74272e+00, tol = 2.62649e+00, K = 1, iteration = 1221, H = 2.09550e+00\n", + "log(Z): -6.73891e+00, tol = 2.62110e+00, K = 1, iteration = 1222, H = 2.09547e+00\n", + "log(Z): -6.73510e+00, tol = 2.61572e+00, K = 1, iteration = 1223, H = 2.09544e+00\n", + "log(Z): -6.73131e+00, tol = 2.61036e+00, K = 1, iteration = 1224, H = 2.09540e+00\n", + "log(Z): -6.72752e+00, tol = 2.60499e+00, K = 1, iteration = 1225, H = 2.09537e+00\n", + "log(Z): -6.72375e+00, tol = 2.59965e+00, K = 1, iteration = 1226, H = 2.09534e+00\n", + "log(Z): -6.71998e+00, tol = 2.59431e+00, K = 1, iteration = 1227, H = 2.09530e+00\n", + "log(Z): -6.71621e+00, tol = 2.58897e+00, K = 1, iteration = 1228, H = 2.09528e+00\n", + "log(Z): -6.71244e+00, tol = 2.58363e+00, K = 1, iteration = 1229, H = 2.09527e+00\n", + "log(Z): -6.70866e+00, tol = 2.57829e+00, K = 1, iteration = 1230, H = 2.09527e+00\n", + "log(Z): -6.70489e+00, tol = 2.57296e+00, K = 1, iteration = 1231, H = 2.09526e+00\n", + "log(Z): -6.70114e+00, tol = 2.56765e+00, K = 1, iteration = 1232, H = 2.09525e+00\n", + "log(Z): -6.69739e+00, tol = 2.56235e+00, K = 1, iteration = 1233, H = 2.09524e+00\n", + "log(Z): -6.69364e+00, tol = 2.55704e+00, K = 1, iteration = 1234, H = 2.09524e+00\n", + "log(Z): -6.68988e+00, tol = 2.55173e+00, K = 1, iteration = 1235, H = 2.09526e+00\n", + "log(Z): -6.68611e+00, tol = 2.54641e+00, K = 1, iteration = 1236, H = 2.09530e+00\n", + "log(Z): -6.68235e+00, tol = 2.54110e+00, K = 1, iteration = 1237, H = 2.09534e+00\n", + "log(Z): -6.67860e+00, tol = 2.53580e+00, K = 1, iteration = 1238, H = 2.09537e+00\n", + "log(Z): -6.67486e+00, tol = 2.53052e+00, K = 1, iteration = 1239, H = 2.09539e+00\n", + "log(Z): -6.67114e+00, tol = 2.52526e+00, K = 1, iteration = 1240, H = 2.09541e+00\n", + "log(Z): -6.66741e+00, tol = 2.51999e+00, K = 1, iteration = 1241, H = 2.09544e+00\n", + "log(Z): -6.66366e+00, tol = 2.51470e+00, K = 1, iteration = 1242, H = 2.09550e+00\n", + "log(Z): -6.65993e+00, tol = 2.50943e+00, K = 1, iteration = 1243, H = 2.09555e+00\n", + "log(Z): -6.65619e+00, tol = 2.50417e+00, K = 1, iteration = 1244, H = 2.09561e+00\n", + "log(Z): -6.65248e+00, tol = 2.49892e+00, K = 1, iteration = 1245, H = 2.09566e+00\n", + "log(Z): -6.64875e+00, tol = 2.49366e+00, K = 1, iteration = 1246, H = 2.09573e+00\n", + "log(Z): -6.64504e+00, tol = 2.48843e+00, K = 1, iteration = 1247, H = 2.09578e+00\n", + "log(Z): -6.64135e+00, tol = 2.48321e+00, K = 1, iteration = 1248, H = 2.09582e+00\n", + "log(Z): -6.63768e+00, tol = 2.47801e+00, K = 1, iteration = 1249, H = 2.09586e+00\n", + "log(Z): -6.63401e+00, tol = 2.47282e+00, K = 1, iteration = 1250, H = 2.09589e+00\n", + "log(Z): -6.63037e+00, tol = 2.46766e+00, K = 1, iteration = 1251, H = 2.09591e+00\n", + "log(Z): -6.62675e+00, tol = 2.46251e+00, K = 1, iteration = 1252, H = 2.09591e+00\n", + "log(Z): -6.62314e+00, tol = 2.45738e+00, K = 1, iteration = 1253, H = 2.09591e+00\n", + "log(Z): -6.61955e+00, tol = 2.45227e+00, K = 1, iteration = 1254, H = 2.09590e+00\n", + "log(Z): -6.61596e+00, tol = 2.44717e+00, K = 1, iteration = 1255, H = 2.09589e+00\n", + "log(Z): -6.61237e+00, tol = 2.44207e+00, K = 1, iteration = 1256, H = 2.09588e+00\n", + "log(Z): 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2.38184e+00, K = 1, iteration = 1268, H = 2.09553e+00\n", + "log(Z): -6.56677e+00, tol = 2.37690e+00, K = 1, iteration = 1269, H = 2.09548e+00\n", + "log(Z): -6.56334e+00, tol = 2.37197e+00, K = 1, iteration = 1270, H = 2.09542e+00\n", + "log(Z): -6.55993e+00, tol = 2.36707e+00, K = 1, iteration = 1271, H = 2.09536e+00\n", + "log(Z): -6.55651e+00, tol = 2.36216e+00, K = 1, iteration = 1272, H = 2.09530e+00\n", + "log(Z): -6.55310e+00, tol = 2.35726e+00, K = 1, iteration = 1273, H = 2.09524e+00\n", + "log(Z): -6.54968e+00, tol = 2.35235e+00, K = 1, iteration = 1274, H = 2.09520e+00\n", + "log(Z): -6.54628e+00, tol = 2.34747e+00, K = 1, iteration = 1275, H = 2.09515e+00\n", + "log(Z): -6.54286e+00, tol = 2.34256e+00, K = 1, iteration = 1276, H = 2.09513e+00\n", + "log(Z): -6.53945e+00, tol = 2.33768e+00, K = 1, iteration = 1277, H = 2.09510e+00\n", + "log(Z): -6.53605e+00, tol = 2.33591e+00, K = 1, iteration = 1278, H = 2.09506e+00\n", + "log(Z): -6.53264e+00, tol = 2.33102e+00, K = 1, 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2.09511e+00\n", + "log(Z): -6.49199e+00, tol = 2.27284e+00, K = 1, iteration = 1291, H = 2.09512e+00\n", + "log(Z): -6.48865e+00, tol = 2.26805e+00, K = 1, iteration = 1292, H = 2.09513e+00\n", + "log(Z): -6.48532e+00, tol = 2.26328e+00, K = 1, iteration = 1293, H = 2.09512e+00\n", + "log(Z): -6.48200e+00, tol = 2.25851e+00, K = 1, iteration = 1294, H = 2.09512e+00\n", + "log(Z): -6.47868e+00, tol = 2.25375e+00, K = 1, iteration = 1295, H = 2.09512e+00\n", + "log(Z): -6.47537e+00, tol = 2.24900e+00, K = 1, iteration = 1296, H = 2.09512e+00\n", + "log(Z): -6.47207e+00, tol = 2.24426e+00, K = 1, iteration = 1297, H = 2.09511e+00\n", + "log(Z): -6.46879e+00, tol = 2.23954e+00, K = 1, iteration = 1298, H = 2.09510e+00\n", + "log(Z): -6.46550e+00, tol = 2.23481e+00, K = 1, iteration = 1299, H = 2.09509e+00\n", + "log(Z): -6.46221e+00, tol = 2.23009e+00, K = 1, iteration = 1300, H = 2.09510e+00\n", + "log(Z): -6.45892e+00, tol = 2.22537e+00, K = 1, iteration = 1301, H = 2.09511e+00\n", + 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2.11996e+00, K = 1, iteration = 1324, H = 2.09448e+00\n", + "log(Z): -6.38290e+00, tol = 2.11551e+00, K = 1, iteration = 1325, H = 2.09442e+00\n", + "log(Z): -6.37985e+00, tol = 2.11108e+00, K = 1, iteration = 1326, H = 2.09435e+00\n", + "log(Z): -6.37683e+00, tol = 2.10666e+00, K = 1, iteration = 1327, H = 2.09427e+00\n", + "log(Z): -6.37380e+00, tol = 2.10225e+00, K = 1, iteration = 1328, H = 2.09419e+00\n", + "log(Z): -6.37080e+00, tol = 2.09785e+00, K = 1, iteration = 1329, H = 2.09410e+00\n", + "log(Z): -6.36779e+00, tol = 2.09346e+00, K = 1, iteration = 1330, H = 2.09402e+00\n", + "log(Z): -6.36478e+00, tol = 2.08907e+00, K = 1, iteration = 1331, H = 2.09395e+00\n", + "log(Z): -6.36176e+00, tol = 2.08468e+00, K = 1, iteration = 1332, H = 2.09389e+00\n", + "log(Z): -6.35875e+00, tol = 2.08029e+00, K = 1, iteration = 1333, H = 2.09382e+00\n", + "log(Z): -6.35575e+00, tol = 2.07592e+00, K = 1, iteration = 1334, H = 2.09376e+00\n", + "log(Z): -6.35276e+00, tol = 2.07156e+00, K = 1, iteration = 1335, H = 2.09369e+00\n", + "log(Z): -6.34978e+00, tol = 2.06720e+00, K = 1, iteration = 1336, H = 2.09362e+00\n", + "log(Z): -6.34681e+00, tol = 2.06286e+00, K = 1, iteration = 1337, H = 2.09355e+00\n", + "log(Z): -6.34383e+00, tol = 2.05852e+00, K = 1, iteration = 1338, H = 2.09349e+00\n", + "log(Z): -6.34087e+00, tol = 2.05419e+00, K = 1, iteration = 1339, H = 2.09342e+00\n", + "log(Z): -6.33792e+00, tol = 2.04988e+00, K = 1, iteration = 1340, H = 2.09334e+00\n", + "log(Z): -6.33498e+00, tol = 2.04558e+00, K = 1, iteration = 1341, H = 2.09326e+00\n", + "log(Z): -6.33204e+00, tol = 2.04128e+00, K = 1, iteration = 1342, H = 2.09318e+00\n", + "log(Z): -6.32911e+00, tol = 2.03698e+00, K = 1, iteration = 1343, H = 2.09311e+00\n", + "log(Z): -6.32617e+00, tol = 2.03269e+00, K = 1, iteration = 1344, H = 2.09305e+00\n", + "log(Z): -6.32324e+00, tol = 2.02841e+00, K = 1, iteration = 1345, H = 2.09298e+00\n", + "log(Z): -6.32032e+00, tol = 2.02414e+00, K = 1, iteration = 1346, H = 2.09291e+00\n", + "log(Z): -6.31741e+00, tol = 2.01988e+00, K = 1, iteration = 1347, H = 2.09285e+00\n", + "log(Z): -6.31450e+00, tol = 2.01562e+00, K = 1, iteration = 1348, H = 2.09278e+00\n", + "log(Z): -6.31160e+00, tol = 2.01137e+00, K = 1, iteration = 1349, H = 2.09271e+00\n", + "log(Z): -6.30871e+00, tol = 2.00714e+00, K = 1, iteration = 1350, H = 2.09263e+00\n", + "log(Z): -6.30584e+00, tol = 2.00292e+00, K = 1, iteration = 1351, H = 2.09255e+00\n", + "log(Z): -6.30297e+00, tol = 1.99872e+00, K = 1, iteration = 1352, H = 2.09246e+00\n", + "log(Z): -6.30012e+00, tol = 1.99452e+00, K = 1, iteration = 1353, H = 2.09237e+00\n", + "log(Z): -6.29728e+00, tol = 1.99034e+00, K = 1, iteration = 1354, H = 2.09227e+00\n", + "log(Z): -6.29443e+00, tol = 1.98616e+00, K = 1, iteration = 1355, H = 2.09219e+00\n", + "log(Z): -6.29160e+00, tol = 1.98199e+00, K = 1, iteration = 1356, H = 2.09210e+00\n", + "log(Z): -6.28876e+00, tol = 1.97782e+00, K = 1, iteration = 1357, H = 2.09201e+00\n", + 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1.88371e+00, K = 1, iteration = 1380, H = 2.09055e+00\n", + "log(Z): -6.22197e+00, tol = 1.87972e+00, K = 1, iteration = 1381, H = 2.09047e+00\n", + "log(Z): -6.21928e+00, tol = 1.87575e+00, K = 1, iteration = 1382, H = 2.09039e+00\n", + "log(Z): -6.21660e+00, tol = 1.87178e+00, K = 1, iteration = 1383, H = 2.09031e+00\n", + "log(Z): -6.21393e+00, tol = 1.86783e+00, K = 1, iteration = 1384, H = 2.09022e+00\n", + "log(Z): -6.21126e+00, tol = 1.86389e+00, K = 1, iteration = 1385, H = 2.09013e+00\n", + "log(Z): -6.20861e+00, tol = 1.85996e+00, K = 1, iteration = 1386, H = 2.09003e+00\n", + "log(Z): -6.20596e+00, tol = 1.85604e+00, K = 1, iteration = 1387, H = 2.08993e+00\n", + "log(Z): -6.20333e+00, tol = 1.85213e+00, K = 1, iteration = 1388, H = 2.08983e+00\n", + "log(Z): -6.20070e+00, tol = 1.84823e+00, K = 1, iteration = 1389, H = 2.08972e+00\n", + "log(Z): -6.19809e+00, tol = 1.84434e+00, K = 1, iteration = 1390, H = 2.08961e+00\n", + "log(Z): -6.19548e+00, tol = 1.84047e+00, K = 1, iteration = 1391, H = 2.08950e+00\n", + "log(Z): -6.19287e+00, tol = 1.83659e+00, K = 1, iteration = 1392, H = 2.08940e+00\n", + "log(Z): -6.19026e+00, tol = 1.83271e+00, K = 1, iteration = 1393, H = 2.08929e+00\n", + "log(Z): -6.18765e+00, tol = 1.82885e+00, K = 1, iteration = 1394, H = 2.08919e+00\n", + "log(Z): -6.18505e+00, tol = 1.82499e+00, K = 1, iteration = 1395, H = 2.08910e+00\n", + "log(Z): -6.18246e+00, tol = 1.82114e+00, K = 1, iteration = 1396, H = 2.08900e+00\n", + "log(Z): -6.17986e+00, tol = 1.81729e+00, K = 1, iteration = 1397, H = 2.08891e+00\n", + "log(Z): -6.17727e+00, tol = 1.81344e+00, K = 1, iteration = 1398, H = 2.08881e+00\n", + "log(Z): -6.17469e+00, tol = 1.80961e+00, K = 1, iteration = 1399, H = 2.08873e+00\n", + "log(Z): -6.17211e+00, tol = 1.80578e+00, K = 1, iteration = 1400, H = 2.08863e+00\n", + "log(Z): -6.16952e+00, tol = 1.80195e+00, K = 1, iteration = 1401, H = 2.08855e+00\n", + "log(Z): -6.16695e+00, tol = 1.79813e+00, K = 1, iteration = 1402, H = 2.08847e+00\n", + "log(Z): -6.16438e+00, tol = 1.79432e+00, K = 1, iteration = 1403, H = 2.08838e+00\n", + "log(Z): -6.16182e+00, tol = 1.79052e+00, K = 1, iteration = 1404, H = 2.08830e+00\n", + "log(Z): -6.15926e+00, tol = 1.78672e+00, K = 1, iteration = 1405, H = 2.08821e+00\n", + "log(Z): -6.15671e+00, tol = 1.78293e+00, K = 1, iteration = 1406, H = 2.08813e+00\n", + "log(Z): -6.15417e+00, tol = 1.77916e+00, K = 1, iteration = 1407, H = 2.08804e+00\n", + "log(Z): -6.15163e+00, tol = 1.77539e+00, K = 1, iteration = 1408, H = 2.08795e+00\n", + "log(Z): -6.14910e+00, tol = 1.77163e+00, K = 1, iteration = 1409, H = 2.08786e+00\n", + "log(Z): -6.14657e+00, tol = 1.76787e+00, K = 1, iteration = 1410, H = 2.08777e+00\n", + "log(Z): -6.14404e+00, tol = 1.76411e+00, K = 1, iteration = 1411, H = 2.08769e+00\n", + "log(Z): -6.14152e+00, tol = 1.76037e+00, K = 1, iteration = 1412, H = 2.08760e+00\n", + "log(Z): -6.13901e+00, tol = 1.75664e+00, K = 1, iteration = 1413, H = 2.08752e+00\n", + 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iteration = 1447, H = 2.08529e+00\n", + "log(Z): -6.05363e+00, tol = 1.62986e+00, K = 1, iteration = 1448, H = 2.08523e+00\n", + "log(Z): -6.05128e+00, tol = 1.62636e+00, K = 1, iteration = 1449, H = 2.08517e+00\n", + "log(Z): -6.04892e+00, tol = 1.62287e+00, K = 1, iteration = 1450, H = 2.08511e+00\n", + "log(Z): -6.04658e+00, tol = 1.61938e+00, K = 1, iteration = 1451, H = 2.08505e+00\n", + "log(Z): -6.04424e+00, tol = 1.61590e+00, K = 1, iteration = 1452, H = 2.08499e+00\n", + "log(Z): -6.04191e+00, tol = 1.61244e+00, K = 1, iteration = 1453, H = 2.08493e+00\n", + "log(Z): -6.03959e+00, tol = 1.60898e+00, K = 1, iteration = 1454, H = 2.08486e+00\n", + "log(Z): -6.03728e+00, tol = 1.60553e+00, K = 1, iteration = 1455, H = 2.08479e+00\n", + "log(Z): -6.03497e+00, tol = 1.60209e+00, K = 1, iteration = 1456, H = 2.08472e+00\n", + "log(Z): -6.03266e+00, tol = 1.59865e+00, K = 1, iteration = 1457, H = 2.08465e+00\n", + "log(Z): -6.03036e+00, tol = 1.59522e+00, K = 1, iteration = 1458, H = 2.08459e+00\n", + "log(Z): -6.02806e+00, tol = 1.59180e+00, K = 1, iteration = 1459, H = 2.08452e+00\n", + "log(Z): -6.02577e+00, tol = 1.58838e+00, K = 1, iteration = 1460, H = 2.08445e+00\n", + "log(Z): -6.02349e+00, tol = 1.58497e+00, K = 1, iteration = 1461, H = 2.08438e+00\n", + "log(Z): -6.02121e+00, tol = 1.58158e+00, K = 1, iteration = 1462, H = 2.08431e+00\n", + "log(Z): -6.01894e+00, tol = 1.57818e+00, K = 1, iteration = 1463, H = 2.08424e+00\n", + "log(Z): -6.01667e+00, tol = 1.57480e+00, K = 1, iteration = 1464, H = 2.08417e+00\n", + "log(Z): -6.01437e+00, tol = 1.57139e+00, K = 1, iteration = 1465, H = 2.08413e+00\n", + "log(Z): -6.01207e+00, tol = 1.56798e+00, K = 1, iteration = 1466, H = 2.08410e+00\n", + "log(Z): -6.00978e+00, tol = 1.56459e+00, K = 1, iteration = 1467, H = 2.08406e+00\n", + "log(Z): -6.00750e+00, tol = 1.56121e+00, K = 1, iteration = 1468, H = 2.08402e+00\n", + "log(Z): -6.00523e+00, tol = 1.55783e+00, K = 1, iteration = 1469, H = 2.08398e+00\n", + 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1.48224e+00, K = 1, iteration = 1492, H = 2.08277e+00\n", + "log(Z): -5.95231e+00, tol = 1.47903e+00, K = 1, iteration = 1493, H = 2.08271e+00\n", + "log(Z): -5.95017e+00, tol = 1.47583e+00, K = 1, iteration = 1494, H = 2.08265e+00\n", + "log(Z): -5.94804e+00, tol = 1.47265e+00, K = 1, iteration = 1495, H = 2.08259e+00\n", + "log(Z): -5.94591e+00, tol = 1.46946e+00, K = 1, iteration = 1496, H = 2.08253e+00\n", + "log(Z): -5.94378e+00, tol = 1.46629e+00, K = 1, iteration = 1497, H = 2.08247e+00\n", + "log(Z): -5.94166e+00, tol = 1.46312e+00, K = 1, iteration = 1498, H = 2.08241e+00\n", + "log(Z): -5.93954e+00, tol = 1.45996e+00, K = 1, iteration = 1499, H = 2.08235e+00\n", + "log(Z): -5.93743e+00, tol = 1.45680e+00, K = 1, iteration = 1500, H = 2.08229e+00\n", + "log(Z): -5.93532e+00, tol = 1.45365e+00, K = 1, iteration = 1501, H = 2.08223e+00\n", + "log(Z): -5.93323e+00, tol = 1.45052e+00, K = 1, iteration = 1502, H = 2.08216e+00\n", + "log(Z): -5.93113e+00, tol = 1.44738e+00, K = 1, iteration = 1503, H = 2.08210e+00\n", + "log(Z): -5.92903e+00, tol = 1.44425e+00, K = 1, iteration = 1504, H = 2.08204e+00\n", + "log(Z): -5.92694e+00, tol = 1.44112e+00, K = 1, iteration = 1505, H = 2.08199e+00\n", + "log(Z): -5.92484e+00, tol = 1.43800e+00, K = 1, iteration = 1506, H = 2.08193e+00\n", + "log(Z): -5.92275e+00, tol = 1.43488e+00, K = 1, iteration = 1507, H = 2.08189e+00\n", + "log(Z): -5.92065e+00, tol = 1.43175e+00, K = 1, iteration = 1508, H = 2.08185e+00\n", + "log(Z): -5.91855e+00, tol = 1.42864e+00, K = 1, iteration = 1509, H = 2.08181e+00\n", + "log(Z): -5.91645e+00, tol = 1.42552e+00, K = 1, iteration = 1510, H = 2.08178e+00\n", + "log(Z): -5.91436e+00, tol = 1.42242e+00, K = 1, iteration = 1511, H = 2.08175e+00\n", + "log(Z): -5.91228e+00, tol = 1.41932e+00, K = 1, iteration = 1512, H = 2.08171e+00\n", + "log(Z): -5.91019e+00, tol = 1.41622e+00, K = 1, iteration = 1513, H = 2.08168e+00\n", + "log(Z): -5.90811e+00, tol = 1.41313e+00, K = 1, iteration = 1514, H = 2.08165e+00\n", + "log(Z): -5.90603e+00, tol = 1.41005e+00, K = 1, iteration = 1515, H = 2.08162e+00\n", + "log(Z): -5.90395e+00, tol = 1.40697e+00, K = 1, iteration = 1516, H = 2.08159e+00\n", + "log(Z): -5.90188e+00, tol = 1.40389e+00, K = 1, iteration = 1517, H = 2.08157e+00\n", + "log(Z): -5.89981e+00, tol = 1.40083e+00, K = 1, iteration = 1518, H = 2.08154e+00\n", + "log(Z): -5.89775e+00, tol = 1.39777e+00, K = 1, iteration = 1519, H = 2.08151e+00\n", + "log(Z): -5.89569e+00, tol = 1.39471e+00, K = 1, iteration = 1520, H = 2.08149e+00\n", + "log(Z): -5.89363e+00, tol = 1.39166e+00, K = 1, iteration = 1521, H = 2.08146e+00\n", + "log(Z): -5.89159e+00, tol = 1.38862e+00, K = 1, iteration = 1522, H = 2.08143e+00\n", + "log(Z): -5.88954e+00, tol = 1.38559e+00, K = 1, iteration = 1523, H = 2.08140e+00\n", + "log(Z): -5.88751e+00, tol = 1.38257e+00, K = 1, iteration = 1524, H = 2.08136e+00\n", + "log(Z): -5.88548e+00, tol = 1.37955e+00, K = 1, iteration = 1525, H = 2.08133e+00\n", + 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1.31179e+00, K = 1, iteration = 1548, H = 2.08058e+00\n", + "log(Z): -5.83792e+00, tol = 1.30891e+00, K = 1, iteration = 1549, H = 2.08056e+00\n", + "log(Z): -5.83598e+00, tol = 1.30604e+00, K = 1, iteration = 1550, H = 2.08053e+00\n", + "log(Z): -5.83406e+00, tol = 1.30318e+00, K = 1, iteration = 1551, H = 2.08050e+00\n", + "log(Z): -5.83213e+00, tol = 1.30033e+00, K = 1, iteration = 1552, H = 2.08046e+00\n", + "log(Z): -5.83021e+00, tol = 1.29747e+00, K = 1, iteration = 1553, H = 2.08044e+00\n", + "log(Z): -5.82829e+00, tol = 1.29462e+00, K = 1, iteration = 1554, H = 2.08041e+00\n", + "log(Z): -5.82637e+00, tol = 1.29178e+00, K = 1, iteration = 1555, H = 2.08038e+00\n", + "log(Z): -5.82446e+00, tol = 1.28895e+00, K = 1, iteration = 1556, H = 2.08035e+00\n", + "log(Z): -5.82255e+00, tol = 1.28612e+00, K = 1, iteration = 1557, H = 2.08033e+00\n", + "log(Z): -5.82065e+00, tol = 1.28330e+00, K = 1, iteration = 1558, H = 2.08030e+00\n", + "log(Z): -5.81875e+00, tol = 1.28048e+00, K = 1, iteration = 1559, H = 2.08027e+00\n", + "log(Z): -5.81686e+00, tol = 1.27767e+00, K = 1, iteration = 1560, H = 2.08024e+00\n", + "log(Z): -5.81496e+00, tol = 1.27486e+00, K = 1, iteration = 1561, H = 2.08022e+00\n", + "log(Z): -5.81305e+00, tol = 1.27204e+00, K = 1, iteration = 1562, H = 2.08021e+00\n", + "log(Z): -5.81114e+00, tol = 1.26923e+00, K = 1, iteration = 1563, H = 2.08021e+00\n", + "log(Z): -5.80924e+00, tol = 1.26643e+00, K = 1, iteration = 1564, H = 2.08020e+00\n", + "log(Z): -5.80734e+00, tol = 1.26363e+00, K = 1, iteration = 1565, H = 2.08019e+00\n", + "log(Z): -5.80545e+00, tol = 1.26084e+00, K = 1, iteration = 1566, H = 2.08019e+00\n", + "log(Z): -5.80356e+00, tol = 1.25806e+00, K = 1, iteration = 1567, H = 2.08017e+00\n", + "log(Z): -5.80168e+00, tol = 1.25528e+00, K = 1, iteration = 1568, H = 2.08016e+00\n", + "log(Z): -5.79980e+00, tol = 1.25250e+00, K = 1, iteration = 1569, H = 2.08016e+00\n", + "log(Z): -5.79792e+00, tol = 1.24974e+00, K = 1, iteration = 1570, H = 2.08015e+00\n", + "log(Z): -5.79605e+00, tol = 1.24698e+00, K = 1, iteration = 1571, H = 2.08014e+00\n", + "log(Z): -5.79418e+00, tol = 1.24422e+00, K = 1, iteration = 1572, H = 2.08013e+00\n", + "log(Z): -5.79232e+00, tol = 1.24147e+00, K = 1, iteration = 1573, H = 2.08012e+00\n", + "log(Z): -5.79046e+00, tol = 1.23873e+00, K = 1, iteration = 1574, H = 2.08011e+00\n", + "log(Z): -5.78860e+00, tol = 1.23599e+00, K = 1, iteration = 1575, H = 2.08010e+00\n", + "log(Z): -5.78675e+00, tol = 1.23326e+00, K = 1, iteration = 1576, H = 2.08008e+00\n", + "log(Z): -5.78490e+00, tol = 1.23053e+00, K = 1, iteration = 1577, H = 2.08008e+00\n", + "log(Z): -5.78305e+00, tol = 1.22781e+00, K = 1, iteration = 1578, H = 2.08007e+00\n", + "log(Z): -5.78121e+00, tol = 1.22510e+00, K = 1, iteration = 1579, H = 2.08006e+00\n", + "log(Z): -5.77937e+00, tol = 1.22239e+00, K = 1, iteration = 1580, H = 2.08005e+00\n", + "log(Z): -5.77754e+00, tol = 1.21968e+00, K = 1, iteration = 1581, H = 2.08004e+00\n", + "log(Z): -5.77571e+00, tol = 1.21699e+00, K = 1, iteration = 1582, H = 2.08003e+00\n", + "log(Z): -5.77388e+00, tol = 1.21429e+00, K = 1, iteration = 1583, H = 2.08002e+00\n", + "log(Z): -5.77205e+00, tol = 1.21160e+00, K = 1, iteration = 1584, H = 2.08001e+00\n", + "log(Z): -5.77023e+00, tol = 1.20892e+00, K = 1, iteration = 1585, H = 2.08000e+00\n", + "log(Z): -5.76840e+00, tol = 1.20624e+00, K = 1, iteration = 1586, H = 2.08000e+00\n", + "log(Z): -5.76658e+00, tol = 1.20356e+00, K = 1, iteration = 1587, H = 2.08001e+00\n", + "log(Z): -5.76476e+00, tol = 1.20089e+00, K = 1, iteration = 1588, H = 2.08001e+00\n", + "log(Z): -5.76294e+00, tol = 1.19822e+00, K = 1, iteration = 1589, H = 2.08001e+00\n", + "log(Z): -5.76112e+00, tol = 1.19556e+00, K = 1, iteration = 1590, H = 2.08002e+00\n", + "log(Z): -5.75932e+00, tol = 1.19290e+00, K = 1, iteration = 1591, H = 2.08002e+00\n", + "log(Z): -5.75751e+00, tol = 1.19025e+00, K = 1, iteration = 1592, H = 2.08002e+00\n", + "log(Z): -5.75571e+00, tol = 1.18761e+00, K = 1, iteration = 1593, H = 2.08002e+00\n", + "log(Z): -5.75391e+00, tol = 1.18497e+00, K = 1, iteration = 1594, H = 2.08002e+00\n", + "log(Z): -5.75211e+00, tol = 1.18233e+00, K = 1, iteration = 1595, H = 2.08003e+00\n", + "log(Z): -5.75032e+00, tol = 1.17971e+00, K = 1, iteration = 1596, H = 2.08003e+00\n", + "log(Z): -5.74854e+00, tol = 1.17709e+00, K = 1, iteration = 1597, H = 2.08003e+00\n", + "log(Z): -5.74676e+00, tol = 1.17448e+00, K = 1, iteration = 1598, H = 2.08002e+00\n", + "log(Z): -5.74498e+00, tol = 1.17187e+00, K = 1, iteration = 1599, H = 2.08001e+00\n", + "log(Z): -5.74322e+00, tol = 1.16927e+00, K = 1, iteration = 1600, H = 2.08001e+00\n", + "log(Z): -5.74145e+00, tol = 1.16668e+00, K = 1, iteration = 1601, H = 2.08000e+00\n", + "log(Z): -5.73969e+00, tol = 1.16409e+00, K = 1, iteration = 1602, H = 2.07999e+00\n", + "log(Z): -5.73794e+00, tol = 1.16151e+00, K = 1, iteration = 1603, H = 2.07998e+00\n", + "log(Z): -5.73618e+00, tol = 1.15893e+00, K = 1, iteration = 1604, H = 2.07998e+00\n", + "log(Z): -5.73443e+00, tol = 1.15635e+00, K = 1, iteration = 1605, H = 2.07997e+00\n", + "log(Z): -5.73268e+00, tol = 1.15379e+00, K = 1, iteration = 1606, H = 2.07996e+00\n", + "log(Z): -5.73094e+00, tol = 1.15123e+00, K = 1, iteration = 1607, H = 2.07995e+00\n", + "log(Z): -5.72921e+00, tol = 1.14868e+00, K = 1, iteration = 1608, H = 2.07994e+00\n", + "log(Z): -5.72748e+00, tol = 1.14613e+00, K = 1, iteration = 1609, H = 2.07992e+00\n", + "log(Z): -5.72575e+00, tol = 1.14359e+00, K = 1, iteration = 1610, H = 2.07991e+00\n", + "log(Z): -5.72404e+00, tol = 1.14106e+00, K = 1, iteration = 1611, H = 2.07989e+00\n", + "log(Z): -5.72232e+00, tol = 1.13854e+00, K = 1, iteration = 1612, H = 2.07987e+00\n", + "log(Z): -5.72061e+00, tol = 1.13602e+00, K = 1, iteration = 1613, H = 2.07985e+00\n", + "log(Z): -5.71891e+00, tol = 1.13351e+00, K = 1, iteration = 1614, H = 2.07983e+00\n", + "log(Z): -5.71721e+00, tol = 1.13100e+00, K = 1, iteration = 1615, H = 2.07980e+00\n", + "log(Z): -5.71552e+00, tol = 1.12850e+00, K = 1, iteration = 1616, H = 2.07977e+00\n", + "log(Z): -5.71383e+00, tol = 1.12600e+00, K = 1, iteration = 1617, H = 2.07975e+00\n", + "log(Z): -5.71214e+00, tol = 1.12352e+00, K = 1, iteration = 1618, H = 2.07972e+00\n", + "log(Z): -5.71046e+00, tol = 1.12103e+00, K = 1, iteration = 1619, H = 2.07970e+00\n", + "log(Z): -5.70877e+00, tol = 1.11855e+00, K = 1, iteration = 1620, H = 2.07968e+00\n", + "log(Z): -5.70709e+00, tol = 1.11607e+00, K = 1, iteration = 1621, H = 2.07966e+00\n", + "log(Z): -5.70541e+00, tol = 1.11360e+00, K = 1, iteration = 1622, H = 2.07964e+00\n", + "log(Z): -5.70373e+00, tol = 1.11113e+00, K = 1, iteration = 1623, H = 2.07962e+00\n", + "log(Z): -5.70206e+00, tol = 1.10867e+00, K = 1, iteration = 1624, H = 2.07961e+00\n", + "log(Z): -5.70039e+00, tol = 1.10621e+00, K = 1, iteration = 1625, H = 2.07959e+00\n", + "log(Z): -5.69871e+00, tol = 1.10375e+00, K = 1, iteration = 1626, H = 2.07958e+00\n", + "log(Z): -5.69704e+00, tol = 1.10130e+00, K = 1, iteration = 1627, H = 2.07957e+00\n", + "log(Z): -5.69537e+00, tol = 1.09885e+00, K = 1, iteration = 1628, H = 2.07956e+00\n", + "log(Z): -5.69371e+00, tol = 1.09641e+00, K = 1, iteration = 1629, H = 2.07955e+00\n", + "log(Z): -5.69205e+00, tol = 1.09397e+00, K = 1, iteration = 1630, H = 2.07953e+00\n", + "log(Z): -5.69040e+00, tol = 1.09155e+00, K = 1, iteration = 1631, H = 2.07952e+00\n", + "log(Z): -5.68875e+00, tol = 1.08912e+00, K = 1, iteration = 1632, H = 2.07951e+00\n", + "log(Z): -5.68710e+00, tol = 1.08670e+00, K = 1, iteration = 1633, H = 2.07949e+00\n", + "log(Z): -5.68545e+00, tol = 1.08429e+00, K = 1, iteration = 1634, H = 2.07948e+00\n", + "log(Z): -5.68381e+00, tol = 1.08188e+00, K = 1, iteration = 1635, H = 2.07947e+00\n", + "log(Z): -5.68217e+00, tol = 1.07947e+00, K = 1, iteration = 1636, H = 2.07946e+00\n", + "log(Z): -5.68054e+00, tol = 1.07708e+00, K = 1, iteration = 1637, H = 2.07944e+00\n", + "log(Z): -5.67890e+00, tol = 1.07468e+00, K = 1, iteration = 1638, H = 2.07943e+00\n", + "log(Z): -5.67728e+00, tol = 1.07230e+00, K = 1, iteration = 1639, H = 2.07942e+00\n", + "log(Z): -5.67566e+00, tol = 1.06991e+00, K = 1, iteration = 1640, H = 2.07940e+00\n", + "log(Z): -5.67402e+00, tol = 1.06753e+00, K = 1, iteration = 1641, H = 2.07940e+00\n", + "log(Z): -5.67239e+00, tol = 1.06515e+00, K = 1, iteration = 1642, H = 2.07940e+00\n", + "log(Z): -5.67077e+00, tol = 1.06277e+00, K = 1, iteration = 1643, H = 2.07939e+00\n", + "log(Z): -5.66914e+00, tol = 1.06040e+00, K = 1, iteration = 1644, H = 2.07939e+00\n", + "log(Z): -5.66752e+00, tol = 1.05804e+00, K = 1, iteration = 1645, H = 2.07939e+00\n", + "log(Z): -5.66591e+00, tol = 1.05568e+00, K = 1, iteration = 1646, H = 2.07939e+00\n", + "log(Z): -5.66430e+00, tol = 1.05333e+00, K = 1, iteration = 1647, H = 2.07938e+00\n", + "log(Z): -5.66269e+00, tol = 1.05098e+00, K = 1, iteration = 1648, H = 2.07938e+00\n", + "log(Z): -5.66109e+00, tol = 1.04864e+00, K = 1, iteration = 1649, H = 2.07937e+00\n", + "log(Z): -5.65949e+00, tol = 1.04631e+00, K = 1, iteration = 1650, H = 2.07936e+00\n", + "log(Z): -5.65790e+00, tol = 1.04398e+00, K = 1, iteration = 1651, H = 2.07935e+00\n", + "log(Z): -5.65631e+00, tol = 1.04165e+00, K = 1, iteration = 1652, H = 2.07934e+00\n", + "log(Z): -5.65472e+00, tol = 1.03933e+00, K = 1, iteration = 1653, H = 2.07933e+00\n", + "log(Z): -5.65314e+00, tol = 1.03702e+00, K = 1, iteration = 1654, H = 2.07933e+00\n", + "log(Z): -5.65156e+00, tol = 1.03471e+00, K = 1, iteration = 1655, H = 2.07932e+00\n", + "log(Z): -5.64998e+00, tol = 1.03240e+00, K = 1, iteration = 1656, H = 2.07931e+00\n", + "log(Z): -5.64841e+00, tol = 1.03010e+00, K = 1, iteration = 1657, H = 2.07930e+00\n", + "log(Z): -5.64684e+00, tol = 1.02781e+00, K = 1, iteration = 1658, H = 2.07928e+00\n", + "log(Z): -5.64528e+00, tol = 1.02552e+00, K = 1, iteration = 1659, H = 2.07927e+00\n", + "log(Z): -5.64372e+00, tol = 1.02324e+00, K = 1, iteration = 1660, H = 2.07926e+00\n", + "log(Z): -5.64216e+00, tol = 1.02096e+00, K = 1, iteration = 1661, H = 2.07925e+00\n", + "log(Z): -5.64060e+00, tol = 1.01869e+00, K = 1, iteration = 1662, H = 2.07924e+00\n", + "log(Z): -5.63904e+00, tol = 1.01642e+00, K = 1, iteration = 1663, H = 2.07923e+00\n", + "log(Z): -5.63749e+00, tol = 1.01415e+00, K = 1, iteration = 1664, H = 2.07922e+00\n", + "log(Z): -5.63595e+00, tol = 1.01190e+00, K = 1, iteration = 1665, H = 2.07921e+00\n", + "log(Z): -5.63441e+00, tol = 1.00964e+00, K = 1, iteration = 1666, H = 2.07919e+00\n", + "log(Z): -5.63287e+00, tol = 1.00740e+00, K = 1, iteration = 1667, H = 2.07918e+00\n", + "log(Z): -5.63134e+00, tol = 1.00516e+00, K = 1, iteration = 1668, H = 2.07916e+00\n", + "log(Z): -5.62981e+00, tol = 1.00292e+00, K = 1, iteration = 1669, H = 2.07914e+00\n", + "log(Z): -5.62828e+00, tol = 1.00068e+00, K = 1, iteration = 1670, H = 2.07914e+00\n", + "log(Z): -5.62674e+00, tol = 9.98451e-01, K = 1, iteration = 1671, H = 2.07913e+00\n", + "Elapsed time is 0.520 seconds\n", "\n", "Finished RAT ───────────────────────────────────────────────────────────────────────────────────────────────────────────\n", "\n", @@ -2754,7 +1860,7 @@ "Running DREAM\n", "\n", "------------------ Summary of the main settings used ------------------\n", - " nParams: 3\n", + " nParams: 2\n", " nChains: 10\n", " nGenerations: 2000\n", " parallel: false\n", @@ -2788,7 +1894,7 @@ "output_type": "stream", "text": [ "\n", - "Elapsed time is 1.051 seconds\n", + "Elapsed time is 1.067 seconds\n", "\n", "Finished RAT ───────────────────────────────────────────────────────────────────────────────────────────────────────────\n", "\n" @@ -2869,7 +1975,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -2877,19 +1983,14 @@ "output_type": "stream", "text": [ "Best values according to direct calculation:\n", - " Roughness: 4.724137931034483 \n", - " Background: 2.925862068965517e-06\n" - ] - }, - { - "ename": "IndexError", - "evalue": "index 1 is out of bounds for axis 0 with size 1", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mIndexError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[10], line 9\u001b[0m\n\u001b[1;32m 2\u001b[0m best_indices \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39munravel_index(np\u001b[38;5;241m.\u001b[39margmax(probability_array, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m), probability_array\u001b[38;5;241m.\u001b[39mshape)\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBest values according to direct calculation:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 4\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRoughness: \u001b[39m\u001b[38;5;124m\"\u001b[39m, roughness[best_indices[\u001b[38;5;241m0\u001b[39m]], \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 5\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBackground: \u001b[39m\u001b[38;5;124m\"\u001b[39m, background[best_indices[\u001b[38;5;241m1\u001b[39m]])\n\u001b[1;32m 7\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBest values according to Nested Sampler:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 8\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRoughness: \u001b[39m\u001b[38;5;124m\"\u001b[39m, ns_results\u001b[38;5;241m.\u001b[39mfitParams[\u001b[38;5;241m0\u001b[39m], \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m----> 9\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBackground: \u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[43mns_results\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfitParams\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m)\n\u001b[1;32m 11\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBest values according to Nested Sampler:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 12\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRoughness: \u001b[39m\u001b[38;5;124m\"\u001b[39m, dream_results\u001b[38;5;241m.\u001b[39mfitParams[\u001b[38;5;241m0\u001b[39m], \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBackground: \u001b[39m\u001b[38;5;124m\"\u001b[39m, dream_results\u001b[38;5;241m.\u001b[39mfitParams[\u001b[38;5;241m1\u001b[39m])\n", - "\u001b[0;31mIndexError\u001b[0m: index 1 is out of bounds for axis 0 with size 1" + " Roughness: 4.896551724137931 \n", + " Background: 3.16551724137931e-06\n", + "Best values according to Nested Sampler:\n", + " Roughness: 4.819791726804396 \n", + "\n", + "Best values according to DREAM:\n", + " Roughness: 4.8072205077358285 \n", + "\n" ] } ], @@ -2902,11 +2003,13 @@ "\n", "print(\"Best values according to Nested Sampler:\\n\",\n", " \"Roughness: \", ns_results.fitParams[0], \"\\n\",\n", - " \"Background: \", ns_results.fitParams[1])\n", + " ## FIXME: once fitParams outputs properly!\n", + ")# \"Background: \", ns_results.fitParams[1])\n", "\n", - "print(\"Best values according to Nested Sampler:\\n\",\n", + "print(\"Best values according to DREAM:\\n\",\n", " \"Roughness: \", dream_results.fitParams[0], \"\\n\",\n", - " \"Background: \", dream_results.fitParams[1])" + " ## FIXME: once fitParams outputs properly!\n", + " )# \"Background: \", dream_results.fitParams[1])" ] }, { @@ -2918,20 +2021,20 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_2737/4014641873.py:46: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n", + "/tmp/ipykernel_15807/3011725667.py:46: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n", " fig.show()\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -2956,8 +2059,8 @@ " axes[1][i].set_title(\"\")\n", "\n", "# marginalise the probability array to get distributions for each parameter\n", - "roughness_distribution = np.sum(probability_array, axis=0)\n", - "background_distribution = np.sum(probability_array, axis=1)\n", + "roughness_distribution = np.sum(probability_array, axis=1)\n", + "background_distribution = np.sum(probability_array, axis=0)\n", "\n", "axes[2][0].hist(\n", " roughness,\n", @@ -2989,6 +2092,45 @@ "fig.show()" ] }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "'Axes' object is not subscriptable", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[8], line 8\u001b[0m\n\u001b[1;32m 5\u001b[0m RATplot\u001b[38;5;241m.\u001b[39mplot_contour(dream_results, \u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m, axes\u001b[38;5;241m=\u001b[39maxes[\u001b[38;5;241m1\u001b[39m])\n\u001b[1;32m 6\u001b[0m \u001b[38;5;66;03m# we want all 3 plots to have the same x-range\u001b[39;00m\n\u001b[1;32m 7\u001b[0m \u001b[38;5;66;03m# so we will use the nested sampler x-range as our base\u001b[39;00m\n\u001b[0;32m----> 8\u001b[0m axes[\u001b[38;5;241m1\u001b[39m]\u001b[38;5;241m.\u001b[39mset_xlim(\u001b[38;5;241m*\u001b[39m\u001b[43maxes\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m[\u001b[49m\u001b[43mi\u001b[49m\u001b[43m]\u001b[49m\u001b[38;5;241m.\u001b[39mget_xlim())\n\u001b[1;32m 9\u001b[0m axes[\u001b[38;5;241m1\u001b[39m]\u001b[38;5;241m.\u001b[39mset_title(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mTypeError\u001b[0m: 'Axes' object is not subscriptable" + ] + }, + { + "data": { + "image/png": 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KCILA3LlzGTx4MGlpaTg6OnL27FmKFy/Opk2b+PvvvwFYsmQJw4YNIyUl5Ydc57Zt25g0aRKNGzdm69atP+QalBQMChs6f3//HCd9GRgYKDsmviN+fn5YWlry8uVLTE1N8fX1lRmwYmZmhpeXF/Xq1ePTp0906NBBVNv9kaSkpDBo0CAWLFgAwIwZM9i9ezeFChUCMpeUs2fPFmeb7t+/n27duhEdHf1dr/PTp08sW7YMyPTshg4dypw5c5SdDL8oChu6EiVKEBAQkO32q1evUqFChQK5KCV5I/XSPn78SP369bl27RpVq1bNtl/x4sVxd3enQ4cOJCcn07dvXy5duvQDrvj/GDduHDt37kRVVZWNGzeycOHCHFurBg4cyJEjR9DV1eXixYv07t37u17nunXriIqKolq1asycORPI7GRYunTpNzlfUFAQM2fO5PLly2RkZHyTc/wvo3DWddiwYYwfP55t27YhkUgIDw/Hz8+PKVOmMHv27G9xjUo+Izk5WWwbMjAwyFbBnzXTqq6uLtaBCYJARkaGXJnYoKAgZs+eTWhoaL77NmjQgAkTJsiEMj5Heg2enp4AbN68Od/m/LZt23LixAmsra25fPky6enpBVoyk5c+nLQeVEdHBwMDAyQSCYIgEBkZWWBzZQEqV66Mvr4+MTExrFq1ilWrVtGwYUOcnZ0xMDDI9XHyjFqU9zp/hcz8V6Oo9npGRobg5OQk6OjoCBKJRJBIJIKmpqYwa9YshXXc586dm01Tv0qVKrnuv3379mz7FypUSKFz/i4zI86cOSPo6OgIgFCzZk0hJCQk2z7R0dFCmzZtBEBQVVUVNm7cKNexb968KRQvXlyh0YLW1tbCy5cvhbdv3+a4SalUqZIACD4+Pjme+/O5DyEhIeI5YmJihPj4eMHW1lYAhB07duT6HHK7jqxbXvMmAgICxNdXun0+c6KgtrCwMGHnzp2Cg4ODeM5KlSoJ3t7ewvPnz3Pc8uPly5fCzp075bren40fOjNCikQiYebMmfz1118EBAQQFxdH9erV5VZP/ZwaNWrI6O2rqeV9Sfr6+vj7+8tcz/8itra2ojjlw4cPRXHKWrVqARAWFkaHDh24f/8+Ojo6HDp0iPbt2+d73FOnTtGrVy8SEhKoU6cOQ4cOzfM1/vjxI4sXL8bLy4suXbqwd+9eSpQoUWDP80dRsmRJ/vrrL+bNmwfkPEWsoDA0NKRHjx706NGDhw8f0qVLFwICArC3t2fTpk3UqFFDoeN5enpiZ2dHTEwMNjY27Nq164u/n78LChu6wYMHs3r1avT09MS+QYD4+HjGjh3Ltm3bFLsANTWFvhgSieS3+CIVBBYWFly7dg1bW1uePn1KkyZNOHr0KCVKlKB9+/aEhoZibGzM6dOn8xSZlLJhwwbGjBlDRkYGNjY2HD58mMTExHwf98cff9C3b19RrHLfvn05xgx/NcaPH49EIqFmzZrY2Nh8l3PWrFmTw4cPM2zYMPz9/XF0dGT16tVyF+rv2rWLIUOGkJaWBsC5c+ewsbERPxf/qyicjNi5c2eOH/7ExER27dql8AW8ePGCUqVKUaFCBRwdHQkODs5z/7i4OExMTChbtixdunTh8ePHee6fnJz8WwsPmJiY4OPjQ/PmzYmNjaVt27bUqlWL0NBQqlatip+fX75GLiMjg7///ptRo0aRkZHBkCFDOHnypNwDXurWrcvp06epWLEiYWFhdOrU6bcoHtfQ0GDKlCnfzchJKVGiBPv27cPS0pKEhARGjhwpTkTLDUEQcHJyYsCAAaSlpdG7d2/OnTtH0aJFuXfvHi1btuTp06ff6Rn8fMht6GJiYoiOjkYQBGJjY2UMR2RkJGfOnJGr+TkrDRs2ZMeOHZw9exYXFxeCgoJo2rRprpI1VapUYdu2bbi5ubFnzx4yMjKwsrLKM2C+ePFiDAwMxC3rkJXfhcKFC3Pu3DkcHBzE25o2bYqPjw/ly5fP87HJyck4Ojry77//ApmZxc9rJOXB1NSUU6dO8ccffxATE0Pv3r05cuSI4k/mfxRBEDh69CjW1tZs3boVXV1dNm/eTNeuXUlPT2fWrFmsWrUqx/KW1NRUhg8fLiYDp02bxt69e2nSpAne3t5UqlSJ4OBgWrduzZUrV773U/s5kDeYJ5FIBBUVlVw3VVVVwcnJ6asChpGRkYK+vr6wZcsWufZPSUkRKlasmGciJCkpSYiOjhY3aXD7V09G5ER6erpw79494cmTJ0JiYmK++3/69Elo1qyZAAhqamrCzp07s+0jT1A/6/b69Wuhc+fOYgB/+vTpwps3b8Tj/SrJiO+5Xbt2TWjatKlM4sPe3l548uSJ4O/vL4wZM0a8vUuXLsKjR4/E5xkTEyPY2NgIgKCioiKsW7cu22v5+vVroWHDhgIgaGhoCNu3b1cmI3LD29sbQRCwtrbm6NGjMsqrGhoamJiYUKpUqa8yuoaGhlSuXDnHOr2cUFdXp27dunnuX6hQIbEY9XdHRUVF7klZUqnwJ0+eoK+vz7Fjx2jVqtVXX4OmpiYbN26kdOnSuLi4sHjxYvz9/ZkzZw7Xrl3j/fv3X32O/EhNTSU+Pv6HqJEoiouLC1OnTiUjIwNNTU06d+7MkSNHOHToEAkJCaxYsYLx48dTqlQp5syZg5ubGx8+fODChQucPHmSBQsW8PjxY7S1tTlw4ACdOnXKdo6iRYty+vRphgwZgpubG4MGDSIkJOSbJVd+RuQ2dNJgaFBQEOXKlfsmL1BcXBwvX76kX79+cu2fnp7Ow4cP5com/i8hT/3U3LlzefLkCSVLlsTV1RVzc/McHydPtu7zwTAqKirMmzePMmXKMGvWLI4dO8axY8fE+9XU1EhKSuL58+fZjuXl5SXzd2pqKqqqqqSnp7NixQqMjY2Jj48HyPEHLDU1lVatWuHr60uzZs3o3r07ZcqUyfG6pWrD+WFoaJjvPrmNOcxKxYoVs9128eJFsUB4+fLl9OjRg6SkJE6cOMG9e/coVaoUEomECRMmUKNGDRwdHfHx8aFYsWLi61C0aFH27NlD3bp1ZUQcsoaStLW1OXr0KFOmTGHVqlXMmTOHiIgI1qxZ80vrF8qLwllXExMTrly5wsaNGwkMDOTw4cOULl2a3bt3U758eZo0aSL3saZMmUKnTp0wMTEhPDycuXPnoqqqKsaa+vfvT+nSpVm8eDGQmeJv1KgRlSpVIioqiqVLl/L69WuGDh2q6NP4bYmIiMDX1zfPfeLi4li/fj2Q2QHwreaMDh06lLp16zJr1izu3btH7dq1ad68OW3btpUxPvHx8bi6uuLl5UWtWrWoWbOmeJ+6ujpmZmY8e/aMR48eYWxsLCrmlC5dOts5Fy1aJMahvL29uXjxIo0aNaJ79+5UqlTpmzzPr+Hff/8lIiKC27dvM2nSJG7fvs2JEycAWL16tYxD0aZNG7Zs2YKDgwPx8fEULVqUQYMGMXDgQIoWLZrvuVRVVVm5ciUmJiZMmjQJFxcXQkJC2LZt2y/h/X4NChu6o0eP0q9fPxwdHXNULzlz5ozcxwoNDcXBwYGPHz9SrFgxmjRpwrVr1yhWrBiQOdczq4xOZGQkw4YN482bNxQuXJh69erh6+srU+byv8zZs2fp2bNnrqP3Pqdt27bfPKNYr1493N3d+fjxY7auhoiICHbv3s3hw4fFbLifnx+jRo2SqR2rWbMmz5494+HDh1hbW+dq6G7dusU///wDgIODA4GBgVy/fh0/Pz/8/PyoW7cuPXr0ULguLT9u3bqFv78/DRs2VHilU7RoUY4cOSIKgUrLsyZPnky7du2y7d+5c2cOHz7Mhw8f6NChwxeFZSZMmEDZsmXp27cvp06dol27dhw5cgRjY2OFj/WroLCUet26dZk4cSL9+/dHT0+P+/fvU6FCBe7evYutrS1v3rz5VtdaIPyuUupbt25lxIgRpKenU758+XyVa/X09Fi7dm2+WVl5kMewZhV8uHfvHjt37uTcuXNiq5WJiQklSpTg+vXrqKurM3bsWLHN6f3798yZM0dcEs+ZMwfILGmStr8lJiZSr149nj59Ss+ePenTpw8SiYTXr19z7Ngxrly5Ii4Rq1WrRo8ePXB0dJTLMOW2dA0JCWH+/PmcPHkSgDp16jBx4sRc27NyWrpKSU9PZ+7cuWzevJnmzZtz4sSJPIvn5XnN86uC8PPzo1OnTnz8+BETExOOHz9OlSpVctz3ey5df4oB1tra2jx58gRTU1MZQxcYGEj16tVJSkoqkAv7Vvxuhk74/5JHUk+mf//+rF69Gg0Nje92DfJ86T58+MD58+fZuXMn9+7dE29v2LAhAwcOpHjx4pw8eRIfHx9evHiBpqYm48ePx9TUFID58+fz5s0bbG1tcXd3p2jRojKJjcmTJ7NixQpKlCjBw4cP8fHxkTn/mzdvOH78OJ6enmIxbbVq1Rg8eDDt2rXL8/X63NAlJCSwbt06nJ2dSUpKQkVFBTU1NVJSUlBRUaFLly4MHz48W69qXoZOyqtXr6hatWq+HUL5veapqalkZGTkW0714sUL2rVrR2BgIIULF+bQoUNYWVll2+9XN3RK9ZJfmJSUFAYMGCAaudmzZ7Njx47vauTyIj09nRs3brBw4UJat27NxIkTuXfvHurq6tjZ2eHm5sa8efNwc3Oje/fu7Nixg7CwMExNTUlKSmLt2rVijaQ0jiiNv2Vdtl66dImVK1cCsGXLFjZu3Mj8+fNlislLlCjBqFGj2LRpE126dEFTU5OnT5/y119/YW1tjYuLC58+fcrz+QiCwMmTJ2natCnLli0jKSkJKysrPDw8OHDgAK1atSIjI4Pjx49jb2/P0aNHRaMqL6ampvkaufwQBIF+/fpRrlw5Zs6cmae0lFTOq0GDBkRGRtKxY0eZxNHvgsIe3eLFi9mzZw/btm2jTZs2nDlzhtevXzNx4kRmz57N2LFjv9W1Fgi/i0cXHR1N9+7d8fT0RFVVlQ0bNohJmYJU15CHrN7Fp0+f8PLywtPTE29vb5lh50ZGRvTp04fevXuTmpqKs7Mzx48fJz09HYlEQrFixXj37h36+vro6+sTGhqKnp4ekydPJjo6WjRmAB06dODUqVPExsZSq1YtXr16xZAhQ+jSpQudO3cW92vatCn9+/cX475SYmJiuH37Nvv27RM9w0KFCtGlSxf69+8vs/w0NDTkyZMnzJw5U0z0lC5dmnnz5tGpUyckEomYdb179y4rV64UnYGKFSsyceJELCws5PLo4Msy3Vk5deoUQ4YMEf/u27cvW7duzfUHMCEhgYSEBAYPHiwuwxctWsS4cePEpf2v7tH9UPWSH8HvoF4SEhIi1KxZUwAEXV1dwd3dXeb+713w+vbtW8HLy0v4448/BBUVFZnCV0NDQ6Fr167CsmXLhAcPHgj+/v7CpEmTBHV1dXGfli1bCm5ubsL169eF0qVLi48rVaqUAAiFCxcWFixYIGhpaYmPGT58uJCRkSEMGjRIAAQTExPh9evXgrGxsQAI5cuXFyQSiahwM27cOMHV1VVm8/f3Fx4+fCgsXbpUqFGjhsx1W1paCvPmzRNOnjwpDB48WHxempqawpQpU4SgoCCZ4mNfX19xu3z5sjBlyhRBX19fPJ6NjY0QFhZWYIXMuT32xYsXgomJiagoo6qqKv4/Kioqx8+T9JgxMTHCqFGjxGueOnXqDykq/hbfUYU9OikpKSkFol7yvfnVPbpr167RvXt3wsPDMTY25tixY9SpU0dmn4L89ZV3uI6TkxNr164V/y5VqhTLli2jefPmqKmpyXw+TExM+PDhAwCzZs1i+vTp4n3e3t507NgRAGdnZ1avXs2LFy+oV68e5cqV4/jx40CmgGdKSgobNmwQ983IyGDcuHEYGBjg6urK69evmTNnDsHBwVSuXJkdO3bIXHPW4mpBELh27Rrr1q3Dzc0tR/FLKysrBgwYkGN2MqfAf0xMDC4uLri5uQHw8OFDucI7X5poCAkJoX379jx69IhSpUrh7++Pj48PPXr0IC4uDnNzc86cOZNn3C46Opq6desSFBREmTJlCA4O/u5FxT9FjE6KhoYG1atX548//vhljNyvzoULF2jbti3h4eFUq1aNixcvZjNyP4oJEyYwduxYMXAvnS27YMECXr9+LbPvvn37xCSDk5MTo0aNIioqiqSkJNHoNWjQgK5du7J3714MDAy4ffs2WlpamJmZYWlpiZqammjkxo0bh4WFBSYmJgDExsaSlpaGsbGxuHTu2rVrntcvkUiwtLRkz549PHr0iHnz5mFpaYmKigomJiYsWLCAqVOnKlSCoa+vT6NGjQAwNjYukAx3bty/fx9LS0sePXpEiRIlOHXqFLq6utjY2HD58mVKlizJo0ePaNSokUwyKCuhoaE0bdqUoKAgdHR02Lx582/TOaGwRycNEnt7e/Pu3btsv3w/+4CcX9Wj27FjB8OGDSMtLY1mzZqxb98+ChcunOO+P8KjkxIfH8+RI0fYtGmTGKdSUVGhY8eOTJ06lbp16wKZXsu8efPYsGEDgiBQsmRJatWqxblz5zAyMsLDw0NsKTx79iwDBgwAMsto3r17x8yZM8nIyKBfv36MGjVKPH/37t3Fiv/Lly9z5MgRKlWqxPbt22Xq+IKCgvDw8GDy5Ml5GqDU1FQuXryY7/POrZRj3rx5nD9/nt69e8s9YEdRj+7ChQt0796d2NhYqlevzpkzZ0SjLyU4OJj27dvz+PFjdHV1OXLkiEwN5YMHD2jfvj1hYWGUKFGC06dPY2FhIdf1FjQ/hUc3ZMgQ/vvvP0xMTOjYsSNdunSR2ZQULIIgMH/+fAYNGkRaWhr29va4urrmauR+NDo6OgwYMIArV66wb98+WrRoQUZGBidOnKBJkyZ0796d27dvo6ury7Jlyzh//jxmZmZERERw7tw5JBIJ69evl+mbbteuHaNHjwYyNeLmzp1LRkYGHTt2ZOTIkTLnl3ZVnDhxQmaZm9XIxcTEMGXKFLZv387IkSPzzEoqquKSleTkZFGuqmXLll98nLzYsWMH7du3F0dGXr16NZuRAyhXrhxXr16lRYsWxMXF0aFDB7E4+cKFCzRp0oSwsDCqVauGn5/fDzNy3wqFPToDAwPOnDlD48aNv9U1fVN+JY8uNTWVESNGsH37dgCmT5/OjBkz8hy6nJGRIfZA5oW2trZcenMFMQD72bNnuLi4cOjQIXEF0LZtW2bMmEGDBg1ITEzEycmJLVu2MGnSJMaMGZPtGKmpqdjZ2XHjxg0gM5u6cOHCbKUYR48eZfny5eLfTZs2FSWo4P+097Lq5e3duzfPpe2FCxfyfY45eXSXL1/m77//pnjx4hw7dkz0ZvNDHo+uWLFiLFiwQFRA7tOnD9u2bcu3UyI5OZkhQ4awd+9eAOzt7Tl27BhpaWk0b96c48eP//Af0Z/CoytdurTcgoxKvpyYmBg6dOjA9u3bUVFRYcOGDSxatChPI/fy5Uv++OMPSpQoke9maGioULve11C1alW2bt3KnTt36NOnD6qqqpw/f54WLVrQpUsXHjx4wMKFC3nz5k2ORg4yPatNmzZhbm5OixYtWLBgQY71Zln7ZNXU1Pjzzz9l7t+/fz9Xr15FQ0ODHj16ADBz5swcC91jYmKYNGkSu3fv5smTJ2IXh7x4e3sDmd5cXu+boqSmpjJkyBDRyE2fPl1mZGReFCpUiN27dzNjxgwADh06JCPU+aON3LdCYY/O3d2dNWvWsGHDhhxd5J+dX8GjyzrvQVtbm0OHDtGhQwcg9xq5mzdv0qNHDzGbKQ8VKlTgyZMneX5BCsKjA9nasJcvX7J06VL27dsnGo+WLVsyY8YMceZFXuSlFJKWlka7du1ISEjAwcFBpq7z3r17jB07lvT0dKZOncqUKVOoXbs2ERERLFiwgMmTJ8scp0ePHjLenK6uLnXr1qVevXpYWFjIfH4+9+hSUlLo0KED8fHxbNiwgVq1asktoZWXRxcbG8vQoUO5ePEiKioqrF+/nhEjRsh13M/ZvHkzc+bMYciQISxYsKBAjfHX8FN4dPXr1ycpKYkKFSqgp6dHkSJFZDYlX8fz589p1KgR9+/fx9jYmEuXLolGLjfOnz+Pra0tHz58oE6dOkRERCAIQq5bbGwsJUuWJDAwkNWrV3+nZ/Z/VKxYkQ0bNnD//n0GDBiAmpoa3t7etGnThk6dOnH//v0vPraamhrDhg2jefPmMuMUP336xJw5c0hPT8fGxoYuXbqgo6MjDtJeunSpTJ/2tGnTuHDhAlpaWjRu3BhdXV3i4uK4cuUKq1atYsCAAUybNg13d/ccY3w3btwgPj6eYsWKFZg6zIcPH+jSpQsXL15EW1ubEydOfLGRg8zRpRERETg5Of00Ru5boXCviYODA2FhYSxatAhjY+PfJv38szBnzhxx3sOZM2fkKklYunQpiYmJ6OnpcezYsRyHoKSkpPDkyRMePHjA/fv3xVjZ8ePHmTp1aoE/D3koX74869evZ9q0aSxbtoxt27Zx48YNnJycOHz4cLb9w8LCGDJkCCVLlswzVtmrVy969eol/p2ens78+fP58OEDpqam/PXXX+Lntnfv3qxYsYKnT59y/vx5+vfvT0xMjFi6sn79egoXLkx6ejrPnz/n1q1b3L59m1evXuHv74+/vz+NGjXKVnby8OFDILOXt6CMyNGjR3n8+DEaGhpcunSJ+vXrF8hx/xdQ2ND5+vri5+cntxuuRDFu374NwJo1a3I0cjkta/7880/u3LlDbGwsXbt2ZevWrYSHh/Pw4UMePXrEw4cP8ff3z9Z3Wbp0af78888cBTBjY2Px9PSUK7FRs2ZNuZacuWFkZMS0adPELGDz5s1l1E4g83n36dMHf39/7t69S1pamlijlhNZY31Lly7l5s2baGlpsWvXLlGhQ/paSp9jsWLFiIuLQyKRUK5cOVEmTLosLVmyJE2aNGH16tW8evUKyDSqVapUyaYWIy0MjomJEe+TVz4rN2xsbHByciIlJYXg4OB85cnkLTNSCm/mQNWqVeUagadEceLj48X4kyI/JK1ateLo0aP079+fBw8e0KBBgxz3MzQ0xNzcnJo1a2JiYoKtra0ocyQlKCiIPXv2cOzYMbl7ZqWzfuVVhv6c9+/fi4+tVKkSvXv3lrk/LS2NiRMn4u/vT6FChUhOTsbLy4tKlSrlKzh58eJFMQu7bNmybDJEHz58EKv/pa+5RCKhVatWbN++HS8vL7HvNSkpiblz54rCAn/++afMQKKsSMc9Pnv2TJGXIk9MTU0ZPnw4zs7OTJkyBXNz81zVk+Vh8+bNzJ07l/79+zNr1qzfevmqsKFbsmQJkydPZuHChdSsWTNbndHPGuD/FXj8+DGCIGBsbKzwRLX69etz+vRpBg8ezNOnT6lUqRI1a9akZs2aonErU6aMuGTLOjlNEASuXr3Krl27uHz5snh7hQoVctVWkxIZGSkuN8PCwpg6dapCX5iXL1/i4ODA69evKVy4MIsXL5bJpgqCwKJFi7h8+TKamprs3r2bv//+m5cvX+Lq6srgwYNzPV94eDijR48W1TykWdasSLsEzMzMZD67WQ3d8OHDiYyMZOrUqTx58gQNDQ3mzJmDtbV1rs+rcuXKQGYy59OnTwUWv54wYQLHjx8nKCiIli1bcvToUYW9aUEQmDVrFosWLQIyVY4DAwPZuHHjbztfRWFDJ1U9/XyQiiAISCQShVPwSv4PaVwna4mEIpQvXx5vb2/U1dXl+sDGx8fj5ubG7t27CQwMBDK9mRYtWtCvXz+srKzyjcEKgsDmzZtZvnw527dvJzw8nKVLl8p1/ps3b9K/f38+ffpEuXLl2L9/fzYPbdeuXezduxeJRMLSpUupVasWnTp1YsOGDYSHh3P16lWaNWuW7djSEYAfP37E3NwcJyenHK/h7t27ANlq3Bo3bkyhQoUICQnh6tWrrF69mvDwcPT19fn333/z9bh1dXUpW7YsISEh+Pv7Y2lpme/rIQ96enqcOHGCvn378vTpU9q2bcvevXvlHmyUkpLC4MGDs9XRHT58mDdv3rB///7fssREYUMnrQ1SUvA8ePAA4KviXZDz0JisRERE8O+//3L48GFxhq6Ojg7du3enb9++CpUNSSQShg8fTsmSJZk+fTrnzp3j/fv3YhA/N06dOsWYMWNISkqiTp067N69m+LFi8vE5ry8vMR5IVOmTKFFixY4OzsTHh6Ora0tx48f5/Lly5iZmVGyZEmZ4y9atIibN2+ip6fH1q1bsy3RpeRm6LS1tbG0tOTixYtMmzYNyBQqWL58udyvT5UqVQrc0AGUKVOGCxcu0KdPHy5fvoydnR3Ozs75hg6ioqKws7PD29sbNTU1Nm3axKBBgzh16hR9+vThypUrtG7dmuPHj1OuXLkCu96fAYUNnXQamJKCp6AMXW4kJyezdu1a/vvvPzEAb2JiQr9+/ejWrdtXiTN06tSJ4sWLM2bMGO7cuUPv3r3ZvHlzjl+YjRs3MnfuXARBoG3btmzYsCHbcJbHjx8zadIkBEHA3t6ewYMHM3PmTFEUsl+/flSrVo2nT5/i6urKsGHDxCWvv78/Bw8eBDIHzEgFBD5HEIRcDR2AtbW12OdarVo1li5dqtAStGrVqnh4eODv7y/3Y+SlcOHCuLq6MnLkSA4dOsTIkSMJCQlh+vTpOXrhn/e6Hj16lLZt2wKZz/PChQvY2dnx7NkzWrRowdGjR+Xu5PgV+OLoY0JCAs+ePePBgwcym5IvQxAEcela0IZOEATOnDlD/fr1mTt3LvHx8dSpU4eNGzdy9uxZ+vXrVyAKNA0bNmT//v2UKlWKV69e0atXLy5dukRqaiqQGa+aMWMGc+bMQRAEBg0axI4dO7IZuTdv3jBy5EgSExNp3Lgxc+bMYfPmzTLKtydPnqR169bo6Ojw/v17caWRlpbG6dOnARg+fHieNYivX7/m06dPohLP53Tt2pWyZcvSqlUrnJ2dFY6zfYuERFYKFSrE1q1bmTJlCgALFy5k5MiR4ust5d69ezRq1IjHjx9TqlQprly5Iho5KTVr1uTixYvUqFGDt2/fYmNjI1fr26+Cwh7d+/fvGTRoEO7u7jner4zRfRmfPn3i48ePALkOKPkSnj9/ztSpU8UPbYkSJXBycqJJkybfpAbSzMyMAwcOMHLkSJ48ecLw4cPR09OjXLlyMtLmc+bMYfTo0Tlew6pVq3j37h2VKlVi9erVJCQksGrVKgAmTZrE1q1biYqK4tWrV3Ts2JGDBw/i5+dH5cqVSU1NFcs4tLS0OH78OJUqVaJChQrZDOq5c+cAqFGjRo7qu8bGxty6dUuuma2fIwiC6MlJS1G+BSoqKsyfP59y5coxYcIE9uzZQ3h4OHv37kVbW5tz587JrUdXunRpLly4gJWVFa9evWL06NE8f/78t6iVVdjQTZgwgaioKK5fv06LFi04fvw4b9++xcnJSaaZWoliGBgYoKmpSVJSEhEREbnKbsvjed2/f5+4uDi2b9/OoUOHSE9PR01NjV69ejFw4EB0dHTkDjivW7cu330+H8unpqbG6tWrWb9+Pd7e3kRFRYlGrmLFivTo0QMLCwuuXbuW7VjFixfHz88PyKyFS0lJIT09HT09PaKjo6lUqRK6urpER0dTokQJ6tSpw+vXr7l27RqnT59m3Lhx6OnpERsbm63rw8jIiNKlS1O6dGlKlSrFkSNHgEzP7fO6PUXJOkAnPT2dmTNnimIMQ4YMkWsIdtbXID8+L/0ZMmQIpUuXpl+/fnh5edGmTRv69OnD7NmzSU9Pp1mzZuzfvx9DQ8Nsj5XWyKWnp7N48WLRMEs/KwWJPCVL32IUgMKGzsvLCzc3N+rXry+KErZp0wZ9fX0WL16cb7uSkpxRU1OjevXq3LlzhwcPHsg9X+BzMjIyOHXqFC4uLqLoZOPGjRk3bly+E6Gycvv2baZMmYKOjg7W1tYKlx3o6Ojw119/MWnSJJ48ecKLFy+oXr16vsu/9+/f8+bNG1RUVMTWKVVVVRo2bMj58+fx8PAgPDwcQCyo7tGjB/7+/uKksalTp/LixQvCwsLELTY2lo8fP/Lx40eZEEvlypVzLDv5UuLj4xk5ciTnz59HIpEwf/78r2rTUoR27dpx7tw5unfvzqNHj8TGfQcHB9avX5/n0KSEhAQcHR1xdXUFMmsOJ02aVKDXd/r0aerVq/dDStAUNnTx8fHiL07hwoV5//49lStXpmbNmj+96ObPTq1atURD161bN4Uf/+HDBxwdHUUJorJlyzJ+/Pgcx9flxfPnz3F0dBQNpb+/Px07dvyiSfeqqqrUrFlTbmXeR48eAZmeX1ZvolGjRpw/f56TJ08iCAJFixYVxwlqaWmJYx6vXr1KrVq1sLOzkzluTEwM4eHhMsYvNTWV6dOnf/XULSnv3r2jX79+3Lt3D01NTdatWyfKwn8vLCwsuHjxIt26dcPf35+pU6cyZ86cPJef79+/p1OnTly/fh0NDQ12796Nvb19gV2TIAgsX76cv/76Syxu/xqdvy9B4Xe4SpUq+Pv7Y2pqSu3atdm4cSOmpqZs2LAhW4pfiWJIkxBfktQJDAykW7duBAQEoK2tzaBBg7C3t1f4AxUWFkavXr2IjIykZs2ahISEEBUVxb59+6hTpw5t2rRBS0tL4euTF2lC5vNG+IYNGyKRSMRA++ftcZUrV6Zly5Z4e3uzd+9eLC0tZeTEpJPFpAkCyMykFhQBAQE4ODgQHBxMkSJF2LVrV64dKt8aExMT/Pz8CA8Pz7dXOiAgADs7O16+fEnhwoVxc3OjadOmBXYt6enpjB8/XgyBVK5c+Yd0YCh8xvHjxxMREQHA3LlzcXd3p1y5cqxZs0astFbyZUgLhaVfdnm5efMmLVu2JCAggLJly7J582YcHR1zNXJJSUlcvnw5m+rGp0+f6NWrF+Hh4ZiZmYllCw0bNgQys3cuLi4KlUtkZGTw5MkT/Pz8iI6Oznf/3IqmCxcuLGOkchoy07lzZ4yNjYmOjmbTpk05Drj5Fjx48ICOHTsSHByMiYkJp06d+mFGTkqhQoXyNXLXr1+nVatWvHz5ElNTU3x9fQvUyCUkJGBnZ8e6deuQSCSsWLGCZcuWyag9fy8U9uj69u0r/r9evXq8fv2aZ8+eUa5cuXz7DpXkjdSjCwgIID4+Xq5A8KlTpxg4cCCJiYnUqVOHI0eO5KkhJwgC06ZN4+bNm6xbt06MT8XHx+Po6MiLFy8oVaoUf//9N506dUJPT4/WrVtTrVo1Tp48ycePHzl48CDm5ua0a9cux2bvuLg4bty4ga+vL9euXRMHQ0skEszMzKhXrx716tWjQoUKMr/uKSkpohHNqTvE0tKSp0+fAjlPvdfQ0KB///4sX76cK1eu8O7dO4YOHZpvG9vXEBkZyZQpU4iLi8PCwoJdu3ZlmyErLwkJCezfvx8rKyuaNWv2TbOdbm5uDB48mKSkJOrXr8+pU6cUGvyTH+/evaNTp07cuHGDQoUKsWfPHnr06PHdZw5LUcijS01NpWLFiuKHDTIzNhYWFkojVwAUL16c4sWLIwiCTClGbmzYsIHevXuTmJiIjY0N586dyzd84Ofnx82bNwHEmQopKSkMGTKEO3fuULhwYZycnJg4cSIBAQHcvXsXFxcXEhMTGT58uNgW9ujRI9avX8+TJ0+AzG6Lffv28eeff2Jra8usWbM4c+YMnz59Qltbm7JlyyIIAs+fP2f//v1MmTKFIUOGsHbtWvz8/EhNTeXly5ekpaVRpEgRmZkRUqSxRm1t7Vyfp6mpKQ4ODmhqaooxqrVr1351VjU3tmzZIpZuHD169IuN3Pv377Gzs2PGjBm0aNECCwsLdu7cmU1xpiBYt24djo6OJCUlYWtri7e3d4EauefPn2NpacmNGzcoUqQInp6eBZrw+RIU8ujU1dVzlJxWUnDUqlULDw8P1q5dy/bt23MNlN+8eVNUxB00aBCrVq2SK6iedbaptIzg4MGDeHt7o6WlxZ49e5g6dSoxMTHUrVuX4OBg0YsbMWKE6N2dOHGC9+/fc+TIEZo3b860adNkfq3LlSuHlZUVVlZW1K5dm8jISD5+/MidO3e4desW9+/fJzIyEk9PTzw9PTEzMxO9NHNz8xy9merVqzN79mxiYmLyjPNYWVnRqlUrdu7cyaVLl/D09CQ0NFRmdkRB8OnTJ3Fm69y5c79KymjChAncvXsXfX19UlNTuXfvHgMHDiQwMJD58+cXyPVmZGQwffp0nJ2dARg6dCjLly8v8HGlDg4OBAYGUrx4cS5fvlygdaFfisJL1zFjxvDvv/+yZcuWAstWKfk/Ro8ejZeXF3v27OHjx48cOnRI5oMo/TJJ68ni4uIoWbKkTMo+r9KUGjVqiJlNXV1doqKieP/+PZBZhlKpUiWxBMTc3JyyZcty4sQJsffT0NAQCwsLYmNjOXToEJqamlhaWmJubi4OrpkzZ0622Q8vX76kePHiVKtWDUdHR1JSUrh//z6+vr6cOXOGFy9e8OLFCwD++OOPXJff9erVkyuJ4OHhgb29PRYWFqxatQp/f3+ePn0q8zrJm4zIrYE/KSmJ4sWL8+bNG65fv55vR0tukkoZGRli7aCrqyu1atVi9OjRHDp0KNtMXEXIangTExMZOHAgR48eBWDx4sVMmzbtmyyPGzZsyJ07d3j37h1ubm4yQqfy/Bh8Cy9W4WTEzZs3OXbsGOXKlcPGxgY7OzuZTcnX0a1bN44dO4aWlhbu7u40b95cTP5kpXTp0mzZsgXIbGCXd9CNtEEd/i+gL/3CSwU4pRLkBw4c4MSJE0DmyEBp0evdu3dFBeBRo0ZRtmxZDhw4QJs2bQD4559/2LhxY57XoaGhQYMGDRg/fjybN28Wl6pVqlQp0AlzlSpVEpe5UoWWgkJTU1P0tlxcXBSa15GVV69eER8fT6FChahXrx5GRkYFqh784cMHWrduzdGjR9HQ0GDfvn38/fff3ywGuHbtWiZMmABkft7GjBnzTYyXIihs6AwNDenevTs2NjaUKlUKAwMDmU3J19OlSxe8vb0pVqwYd+7cwdLSUoyFZaVXr16i59SvXz+Cg4PzPXbp0qVZunQppUuXZuDAgcD/tZwFBwcTFxeHlZUV1apVE0s5OnfuLKr5fvjwgZUrVyIIAu3atRNFHnR0dNixYwcDBw5EEATmzJnDrFmz5GoJLFeuHJs3b2bChAnf5AsoNegFbeggc8yghYUF8fHxXzx/Q+phV61atcBXSS9fvsTKygpfX18MDQ05f/58rmKhBYWqqiorV65k5cqVSCQSXFxcsLOzk0ut+luhsKHbvn17npsizJs3D4lEIrNlLSHIicOHD1O1alU0NTWpWbPmdxvZ971p2LAhfn5+mJmZ8fr1axo3bsylS5ey7bd8+XLq16/Pp0+fsLe3JyUlJd9j9+/fHy8vL9HAFSlSRCwC9/f3RyKRiIOhq1atSv/+/YHMJcWyZcuIiYmhQoUKDB48WOa4ampqLFmyhNmzZwOZCrbDhg2TS5G6cOHC2Nvb59maJggCT548kcugZ+VLDV1CQgL79u3Dx8cn131UVFT477//gMzPZtZEnbxIDV1BDdGRcv36dSwtLXnx4gXlypXDx8fnu6oPTZgwgcOHD6OpqcnJkydp2bIlb9++/W7nz8oP106uUaMGERER4pZ1sPDn+Pr64uDgwJAhQ7h79y5du3ala9eu4gfld6NixYr4+vpiZWVFVFQUbdu2FWMsUgoVKsShQ4cwNDTk+vXrMktTRZAuX6VKG+3ateP48ePMnz9f9DJ2797Ns2fP0NbWZurUqTm2FEkkEv78809cXFzQ0NDg9OnT9OjR46uzniEhIcybN48ZM2bQuXNnvLy85H6s1NAFBwdnU/bICUEQOH36NLa2tsyfP5+2bdvm6TFbWlrSvn17UQ1ZwQmiYoa9IA3dqVOnaNmyJe/fv6du3bpcu3Yt3xkT34Lu3bvj6emJkZERN2/epGnTpiQnJ3/36/giQ3fkyBHs7e1p1KgRFhYWMpuiqKmpyQxWzqtMZfXq1bRr146//vqLatWq8c8//2BhYSFmkX5HihYtioeHB927dyclJYVBgwZl+1UsX748u3btAjKVP06dOqXweaSedNZi4OrVq4s9rteuXRMzjOPGjRMnjSUnJ+cYf7Gzs+PgwYMYGBhw69Ythg8fLiPfLi9xcXFs3bqV8ePHi2MQExMTGTNmDPv27ZPrGEWLFkVPT4/09PR8g/tPnz6lb9++TJo0iTdv3lCsWDFUVFQ4duwYdevWZdGiRTl6qFOmTEFDQ4MbN27g6emp0HOU/lDXqFFDocflRtayI1tbWy5fvvxDu5asrKzw8/OjYsWKTJky5YfItSts6NasWcOgQYMwNjbm7t27/PHHHxgZGREYGIitra3CFyAtUK1QoQKOjo55Lkv8/Pxo3bq1zG02NjZixionkpOTiYmJkdl+NbS0tDh48CD16tUjNjaWOXPmZNunU6dO4tjCUaNGMX78eLlq8aRIDV1OS683b96wZs0aQDZe9/79e8aMGUP9+vVznMVqZWXFqVOnKFu2LKGhoQwfPlzua8rIyODChQuMGTOGkydPkpGRQcOGDcUi54yMDObPn8/SpUvz7YCQSCRiJjq35eunT5+YO3cudnZ23Lp1C01NTcaNG4eHh4fYMZCUlMTChQuxsLDg+PHjMp5b6dKlxaX8v//+K1cIATKXx1IZqK/16DIyMpgxYwaTJ09GEASGDh3KiRMnCrx85EswMzPjwYMHDB8+/IecX2FDt379ejZt2sTatWvR0NAQtc7GjRsnV4tPVho2bMiOHTs4e/YsLi4uBAUF0bRpU1He+3PevHmTrbDR2NhYZvDw5yxevFgmWaKIgsfPhDTAC5lFqjl9YRcuXEjnzp1JSUnhwIEDWFtb07RpU+bPn4+Pj0+eyzapoXv+/Hk2w7F+/XoSEhKoUqWKGK8D2LRpEx8+fCAiIgI7OztRBCArlStX5syZM1SpUoWoqCjGjh0rdkrkRlxcHPPmzWPdunVER0dTpkwZ5s2bx/Tp0yldujROTk6MHz9efC3yy/BC3nG6pKQkOnfuzIEDB8jIyKBDhw6cPXuWMWPGiLFgd3d3du/eTZkyZQgODqZv374MGDBApq502LBhaGtrExwcLKqA5Ie/v784b+X48ePExsbi4eEhSkgpwpo1a8SEyNy5c9m0adNPVQL2I0cmKvwqBAcHixXqWlpaolHq168fjRo1UmgZmdUDrFWrFg0bNsTExIRDhw4xZMgQRS8tR6ZPny4jNxMTE/PLGjtp1kpVVZW0tLQc22n279/PjRs3WLduHcePH+f58+c8f/6c9evXo6+vT6tWrbCxsaFr164yPxrSX/2UlBTMzMzEfsSVK1eKXvC7d+9wd3cXe2izGiw1NTVCQkJyNGKhoaHi50RNTY2oqKhcyw0MDAz466+/ePHiBdra2owfPz7Hvt3Ro0fz/v179u3bl21JfODAAY4dO0aHDh3EL7q0nS4iIiLb0v/Dhw+8f/8eNTU1duzYkWOfqkQiwc7Ojnbt2rFy5UqWLl3K0aNHCQ8P5+DBgxQtWpSZM2eK70mlSpWy1c3l9EWvWLEixsbGvH37lsmTJzNt2jTxtZFIJFhYWORYU5iTZl1WCayoqCji4uLk6iv91We2yoPCHl2JEiXED3O5cuVE8cSgoCCFg7CfY2hoSOXKlQkICMj13J9/SN++fZvjZHophQoVEpUrpNuvSEpKitgJMXLkyDznef7xxx/s3LmT169fs3PnThwcHChatCgxMTEcP36ckSNHYmpqKjPaUPq6FitWLNuXo1mzZmhraxMZGcnFixfF97lJkyYULlyY8uXL5zj3ATID7cOHDyc8PJxixYqxePHiXJdSgYGB2Nvb8+LFC4oVK8a+ffsYOHBgruIEUg81a/wpOTmZJUuWcP/+fZl4o/R9j46OzvVzqq6unm8zvra2NjNnzsTNzQ0DAwP8/Pxo1aoVnTp14siRI6irq7NlyxY6d+6c53GklChRgoCAAJydnTEzMyMtLQ1tbW2GDBmCr69vthm3eTFixAix+2P16tX069dPOYP5/6OwobO2thaLSAcNGsTEiRNp06YNvXr1+iINtazExcXx8uXLXAOnlpaW2QK9Fy5cKNAJSz8j0dHR2Nra8uTJE4yMjPj777/lelzhwoXp0aOHuNS9ePEif//9N1WqVCEpKUmmtUhq6KRenr+/P1WrVuXOnTtoa2vTpk0bVFRUePnypagwoqWlhb29PXv27MlxCM7ly5f5888/iYqKokKFCvz777+5etN3795lxowZvH//XlROya9zQVpInfXzcuvWLfHLnfUHU2roUlNTC6SNsXnz5nh4eFCmTBlevHiBr68v+vr6uLq6Klynpqury5gxY8QZLPfv32fRokU5KrTkhUQiYerUqezbtw8NDQ3c3Nzo0KHDFxcy/04ovHTNKn8zZswYjIyM8PX1pXPnzgorqU6ZMoVOnTphYmJCeHg4c+fORVVVVfyg9O/fn9KlS4sj78aPH0/z5s1Zvnw5HTp04MCBA9y6dYtNmzYp+jR+GUJCQmjfvj2PHj1CV1eXHTt2KCTLLUVVVZUGDRrQoEEDBgwYQI0aNfDy8uLx48fiQBT4P0O3aNEi0SPS0tKiWrVqWFpa4uPjw7Vr1yhWrBglS5YU6x8/58iRI2JhsaWlJePGjctVx+7ChQu4uLiICQdnZ2e5PG9pbDarocvqpb58+VKMf6mrq6OtrU1CQgLR0dEFoqlXvXp1Ll68SP/+/fnw4QO7d+/+qoSCiooKNWvWzFN9Rh4cHBwoVaoUXbt25fr161hbW3P8+PEvVq3+HVDYo1NRUZEJcPbu3Zs1a9YwduzYPKWacyI0NBQHBweqVKmCvb09RkZG4pcIMuOBWdufrKys2LdvH5s2baJ27docOXIEV1fXAi+0/Fm4f/8+jRo14tGjR5QsWZLLly/nOR1eXsqVK0fXrl2BzHYdkPXo3r17x4EDB8T9r1y5QmhoKObm5lSqVEnMiOZU6Z6RkYGzszMrVqxAEAQ6d+7Mv//+m6NhEQSBffv2sW7dOjIyMmjevDlbtmyRy8gJgiBKqmcNXWQ1dHFxcTKJKmnnjqJJs7woWbIkFy5c4M6dO3l+DsPCwti3b1+BtEJdu3aNK1eu5LlP8+bN8fT0pFy5crx8+RJra2tRteZ/kS+qo4uMjGTZsmUMGTKEIUOGsHz58nwzaTlx4MABwsPDSU5OJjQ0lAMHDsj86ly8eFFGbQOgZ8+e+Pv7k5yczKNHj2jfvv2XPIWfnvPnz9O0aVPCw8OpUaMG165dK9A5m+PGjQMyi4AjIyNFL8LY2JhNmzaRkpJCgwYNMDMzIyMjg/PnzxMZGUnz5s0pXLgwCQkJeHh4yLR4JScnM3fuXLG+bcSIEUybNi3HzF9qaipr1qzh0KFDQOb7OmHCBLl/LGNjY8XAv9SjCwkJITAwEFVVVXHIdE7L129RYpRX29qNGzewsrLC0dFRnOPwpTx48ICuXbvSrFkz/vnnnzzj4lWrVsXLy4s6derw4cMHbG1tOXny5Fed/1dFYUN3+fJlypcvz5o1a4iMjCQyMpI1a9ZQvnx5mV9TJV/O9u3b6dChA7GxsbRs2ZKrV68WyOT0pKQkPDw8mDJlCitXrqRKlSokJCSwbds20aMrWrQoLi4uQGaooEWLFpQoUYKUlBTc3d1JTU3FxsYGdXV1IiIiuH79OpBpPCZMmICnpydqamrMmTOHAQMG5GgA4uPjcXJywtvbGxUVFUaNGoWjo6NCPa5Sb87Q0FD0FqWfvzp16ojFt1kN3bfw6PLjxIkT2NrainGy1atXf9H4REDsIZYatzlz5jBs2LA8y4ZKlizJuXPnsLGxITExEQcHB/H9/V9CYUM3ZswY7O3tCQoK4tixYxw7dozAwEB69+6dTZpHiWLcvn0bR0dHBg8eTFpaGn379uXs2bNfFJP7HE9PT0xMTOjSpQsuLi64ubmJJQrr1q0Tl3jh4eGEh4djbGxMz549UVVVxcbGBn19fWJjY/H09MTQ0FBcQj948IAJEyYwaNAg7t+/j66uLitXrsw2AlFKeno68+bN4/79+xQqVIgZM2ZgY2Oj8PORFh5LVU9SUlLEjpBmzZqJg3xCQ0PF5EN+Hl1ycjKrVq3i3r17BTKf2NPTkz59+pCUlISNjQ2tWrUiJSWFmTNnftHxzp8/j5+fH1paWsyfPx8VFRW2bt0q9iXnhq6uLocOHWLQoEEIgsCUKVPYunXrF13Dr4rCyYiAgACOHDkiU4KgqqrKpEmTxDYkJYpx7949Ro4cKXpHkOlNTZ8+PVuPaH49o58+feLw4cPZSjhu374tDnaWIvWggoKCxAZ/aYuUoaEhqamptGvXjrS0NO7evcuDBw8QBAEbGxskEglaWlq4urqKOnSFCxdm9OjRqKiocPfuXZlzlS5dWvy/1LtJSUnBz8+PSpUqicbcw8Mjz+cHmckLaeZfV1eXLVu2iNptKioqpKSkYGRkhL6+PjExMXz48IEyZcpgZGQE/F+2VjowXCKRYGBgQHR0NC4uLri4uGBoaEjDhg2xsrIiMTEx3yV1Tj/yAQEBovdVo0YNsaA6IiIiT0nx3MpvpLWIenp61K1bF319faKioggICMhXolxNTY21a9eiqamJi4sLp06dKrBa1V8BhQ2dhYUFT58+zaYa+vTp01wFCpXkjru7Oz179iQ+Ph51dXW6dOnC8OHDFXotk5OT8fT0xNXVlatXryKRSOjWrZtMeYaFhQVRUVEyShwVK1bk6tWrYiLg7NmzvHr1Ch0dHfz9/cWauU2bNvHgwQMKFSrE5MmTRQPp4ODA06dPiYqKomnTplhaWqKpqZnntaqqqrJ8+XJ27drFxYsX8fT0xM/Pj969e2eLt2ZkZBAXF0dsbKy4vX79Gm9vbyDTeNSvX58dO3bw/v17NDQ06Nmzp2jQdHR0iImJEY2AiYkJEomEjx8/yixfNTU1OXDgAL6+vvj6+nL9+nWioqI4d+4c586dw8DAADs7O4ULzR0cHHj16hVr1qxhxYoV4u2zZs1S6DhZj7d8+XICAwPFOj0LC4tscezckEgk1KlT54vO/aujsKEbN24c48ePJyAgQOx5vHbtGuvWrWPJkiUyo/ryU1z9X2fLli2MHDlSnKS+du3aPIufsyIIArdv38bNzQ13d/dsbXOHDx+mbdu24nskkUho1aoVhoaGnDlzBkEQMDMzQ1tbm7i4OCwtLVFRUeHBgwf06dOHffv2sWHDBooWLSoOY548ebJMsqhQoUL8+++/hIWFKfS8ixQpwoQJE2jXrh2bN2/m5cuXbNu2jbNnz6Knpycatbi4uFyD7VZWVlSvXp1du3YRFxeHnp4effr0ken2kFb8Sw2dpqYmpUqVIiwsjKCgIJnjGRgYYGtri62tLWlpaTx8+BBfX188PDx4+/YtO3bsoEWLFjRu3FjucX0qKirMnDmTsmXLMm3aNDIyMrCzs/tiYdFChQqxaNEisYjY1taWnTt3yjVE6X8dhQ2dtMZN2kD++X0SiUSsXSqIOMfviDSo7OTkBMCAAQNwcnKSK+MYEhKCm5sbrq6uhISEiLeXKlWKTp06oaOjw5EjRwgODub8+fNER0eLxb6QKUVuaGiIuro6Dg4OrFixgri4OFEq3cfHR1xmnj59Wjz+oEGD+OOPPwryZaBq1ar8999/onS8NMGQFYlEgo6ODnp6euJmYmJCoUKF2LlzJ6mpqRQvXpw+ffpkK0v53NBBptJLWFhYntp0ampq1K1blxIlSqCmpsalS5d49eoV3t7eBAUF0a1bN5mZsfnRv39/TExM8PLy+mIZLSkdO3Zk4cKFCILA2LFjf6pe1p8ZhV+lz38JlShGSkoKQ4cOZffu3UBm5mzevHni3IacSEtLw93dna1bt8ootWhra9OuXTu6du2KRCJh8eLFohJx8eLFeffuHdevXyc6Oppu3bqJrVQVK1YUv3BSY5CYmEinTp3w8fERi0ylmm+2trZ06tSp4F8MMpeybdq0wdLSkuvXrxMTEyNj1HR1dbO1pLm7u4vqIeXLl6dnz545LplzMnQVKlTg6tWrYsvi55leQRB4+PAhBw8e5NKlS2JxfIUKFQgJCeHVq1ds3LiRLl26KDRGsXnz5nTo0EHu/XNDIpGIMuVK5EdhQyetT1KiONHR0djZ2eHl5YWqqiqbNm3KptL7+f579+5l69atYuO6RCLBysqKrl270rp1a2JiYli6dKmYcdTT0yM+Pp53795hZGREVFQUz549Y/fu3fTu3TtbA7e0NENq6P7++298fHzYs2cP3t7e1K9fn6FDh37TGaOQGYBv1apVrsvg1NRUQkNDuX37thijq127Nh07dsy1cT0nQ1emTBnU1NSIj48nMDBQXIqnpqbi7e3NgQMHRPFRyFRfef78OYGBgaJW4ocPH9i/fz8NGzakVatWSq/qF0D5Dn0nPm/lOnLkSK5lFYGBgWzevJkDBw6IX1IjIyMGDBhAly5dKFGiBMnJyWzfvp0NGzaQmJiIRCKhbdu2REVFERQURFRUFB8/fkRfX18syN62bRt9+vSRUbnIauhMTU2pWbMmDx8+JDo6mqCgIO7cuSN3TKqgEASBT58+ERQUxKtXrwgKCiI0NFSmq6BZs2Y0b948TwMsjV1lNXRqamqYmJjw8uVLbt26hZGREW5ubhw9elTMBmtoaGBtbY2BgQHXr1+nfPnyvHnzhg8fPqCmpkaFChUIDAzk+vXrBAcHK4dC/QIoDd134PXr11hZWREeHk6pUqU4ffp0jtmv9PR0UWdfGoSvWrUqw4cPx87ODi0tLaKioggNDWXgwIFijK5u3bpUr16d/fv3i0stLS0t9PT0iImJEf//6dMntm3bxoABA8RzSpd80kb4Tp068fDhQ06ePEm/fv2+m5GLiYnBzc2Np0+fEhoammOtm66uLuXLl6dKlSpyyYJLn9vnrWrly5fn5cuXrF69GhcXF1Eks2jRotjZ2aGiosKOHTtkmv8NDAwoWrSo2H1RuXJlQkJCiIiIYPPmzbRs2ZKmTZt+zUvwXZBXEPR3Q2novgOXL18mPDycEiVKcO3atRzLFKQzWqUtUc2aNWPq1Km0aNFCxmuJjo7m0aNHopFTV1fHxsYGV1dXGcHMxMREmjVrxuXLl0lMTGTnzp2sXr2aO3fu8PjxY+7du8f169fF/sfIyEju379P5cqVgcx6ths3buSoe/Y58qjH5NUNkJyczMyZM/NVH46Li+Phw4eiOkde3Lhxgw0bNgCZhi1rAbOZmZlYr5eSkkKFChXo3LkzjRs3Rl1dnZkzZ4pGTvq+REdHs3z5chYuXEhQUBCxsbGcPXuWYcOG8fz5c9zd3fM1dD9a9+3ixYtiaUuFChV++PV8T5SG7jsgrTkUBCHPWixdXV3atm3L+fPnqVOnDi1btsxxv3bt2rFw4UJcXFwIDQ1lyZIlFC5cmJo1a/L48WMEQRCnpEskEubOnUvfvn1p2bIlVapU4fLly2zfvp19+/aRnp5O+/btRQ/TzMyMokWL8uHDB+7du0fDhg0L/PXISkZGBgsWLODx48digW9+1KxZE01NTfT09NDX1xcTF9L/a2trc/DgQeLj4zExMckWvM8qf6Smpsby5ctlfkzGjx+Ps7MzDx48EIusu3btysWLFwkKCkJNTQ0nJydKlCghLo9/9hrSffv2MWjQIFJSUrCysuKff/750Zf0XfnhU8D+F6hRowYSiYS3b9/mK8EjlbratWtXrtXuEomEnj17cvbsWZycnChdujSRkZE8fPgQAwMDtLS0ePv2LcbGxnh4eDB37lxUVFQoW7Ysf/31F5BZw5eQkICFhYXMxHaJRCJTH5kfSUlJXyXuuHHjRry9vVFVVVVoLnBSUhLv37/n5cuX3Lt3jytXrnD69GkOHDjAtm3biI+Pp3bt2mzcuFFsE5MizVAbGBgwY8aMbHG+4sWLM3/+fMaMGYOBgQEdOnSgbNmy7NmzB8icCdGkSROSkpLEwTbf+gfhSxEEgSVLluDo6EhKSgrdu3fHw8MjzyFUvyMSQQ5Z4MKFC8uddfsSFZPvSUxMjNju8z3VhitXrsyLFy/w8PCgVatW2e6XGrWMjAxq1apFUFAQ69atE4dMS8kpK5mSkoKrqysuLi7i/S1btmTfvn3ZCpDj4+OpXLky4eHhlCtXjk2bNmV7Hby8vJg1axblypWTkWuSIh1LefXqVe7evYuqqiqNGzfGxsaGNm3ayLR7Sclp6Xrq1CkWLVoEZCYA5I0fOTs7U61aNWJjY4mJiZH5V/p/HR0devbsmefEKXl036TlJtKBRDNnzhTnZly/fp3+/ftTvHhxHjx4kO93RJ4wQEGSlpbG2LFjxSX8xIkTWbZs2XdPLinKt/iOyrV0XbVqlfj/jx8/4uTkhI2NjRib8fPz49y5c+LgYiXZqVmzJi9evODBgwc5GjopKioqDB8+nOnTp7Nhw4ZcFUCyoqGhgb29PV27dmXfvn3o6uoyderUHMsudHR02Lt3L4sXL2b48OE5fpAaNGiAqqoqwcHBYoP/kydP8PHx4erVq9mKbdPS0vDy8hILYs3NzWnbti1t27aldu3aOX6xbt26Jcp+6+joiC1w8sxdbdGiRa7y6lKkfaxfi5+fH8uWLQMyJeyzDge6desWAPXr18/3PUpPT+fZs2cFokcnDxkZGcycOZNTp04hkUhYtWqVKM31v4hchi5rlq579+4sWLCAP//8U7xt3LhxODs74+HhwcSJEwv+Kn8DatWqxbFjx2Ra5HKjX79+LFiwgIcPH+Ln5ycOI8qNxMREzp8/z7Fjx7h27RqCIHD37l3mzJmToxhkixYt8vR09PT0MDc35/79+8ydO5ewsDAZMQFVVVVq1qxJkyZNaNy4MaVLl+b8+fOcO3eOW7du8ejRIx49esSKFSsoXrw4bdq0oX79+uLy7tWrV8yYMYP09HQxLidt/ZKHevXqUa1aNczNzalZsybm5uaUL19erkEw8hIYGMjJkye5fPkyGRkZ2NvbZ4v13b59G8g0dPkxY8YMuXtSCxJNTU327dv31WMOfnXkWrpmRVdXl3v37okyOFICAgKoU6dONoWMn40ftXQ9fvw4dnZ21KtXT/QEsvJ5PO7PP/9k+/bt9OjRg507d4q3S5em0l7XY8eO4e7unqPaL2QKWuZk8PKahQuZMULpkgcy3/eGDRvSpEkTLC0txdcuOTmZChUqiKUcHz58wNPTk/Pnz+Pt7S1zXevWrcPExEQcliM1cpqaml89x0FbW5vq1atjbm6Oubk5JiYmOS6hs/L50jU9PZ1bt25x4sQJmQxwx44d+ffff2UKg9PS0mjQoAEJCQm4ubmJcc2cePDgAW3btkUQBFE9+3tQsmRJNmzY8MvNVPlhS9esSAsspROppLi5uYmqEUqyU7NmTSBTRy0tLS3favrhw4ezfft2XF1diYiIkJmL4ObmhrOzs8zU+bJly2Jubo6Pjw/6+vpUrFiRS5cucfjwYQ4fPoyDgwPbt28XPbnk5GRRFj+nZVfXrl0JCAjAyMiIxo0bU6dOHZlrTk1NZe3ateL80VGjRjFr1iyKFi1Kr1696NWrF8nJyfj5+fHPP//w6NEjnjx5gouLC+Hh4ejq6hITE4OqqirJyclApqcm9ZLyQmp0Hj58KB43ISGBW7duZfsR+fPPP8Ue7NxIT0/Hw8OD48ePi7p8KioqNG7cmE6dOtGlS5dsj3n69CkJCQmoqqoSFRVFYmJirnLxUrFMBwcHUX1ZyfdFYUM3f/58hg4dysWLF8WlyPXr1zl79iybN28u8Av8keSn8QXy10ZVqFABdXV1kpKSxERAXtSqVUv84nt7e9OnTx8g84uzYsUKUVPN1tYWR0dH6tevj62tLTExMcTExFCuXDlOnDiBk5MTN27cYP/+/djY2NCoUSOWL1/Oli1bxKJkNTU1mU1VVRU1NTU0NDRo2bIlqqqq4uQvKSEhITJDll1cXGjZsmW2MYxGRkaiITt//jwvXrxAU1NTFHwwNDTk48ePFCtWjPbt2xMUFMSnT59EL69MmTKEhoaKJS9FixalcuXKSCQSKlasSNeuXUlPTyc8PJy7d++ybds2mfM7OzuTkJCQY93d/PnzuXbtGnPmzBE9OENDQ/r168fgwYPFbG1OGoDS3uT09HQGDBiAgYEB48aNy5b8SUxMFL3n3r17F+hnSon8KJx+GThwoOg1SBWG9fX1uXr1arYM4a9MQQeNVVRUxAB61sLevJAucz6/ltmzZ4ueWXBwMKampkgkEhnl2qFDh2JkZCQudevXr0+9evXYuXMnmzdvlpE/SktLIykpibi4OLF17O3bt4SEhLBr1y5OnDiRTS6pTJkyNG/eXPy7f//+2Yzcx48fGTNmDC9evEBNTU3MyDdp0kSMO0p14d6/f8+hQ4f49OkTEomEpKQkVFRUxNeqatWq4v6fvx4xMTF4enrKeEvSOjtbW9scjVxSUhIjRoygS5cuPH78GAMDAxYsWMCdO3eYNWtWtpKUz2nWrBnz5s3DxsYGIyMjoqOjcXZ2FsU1pWhpaWFhYQHA8uXLv3r2sZIv44sKhhs2bMjevXsL+lp+CqR1RwsWLMDR0ZHly5fnm+H73rRq1YqdO3cycuRIHj9+TK9evdi8eTNNmzblypUrJCYmUrx4cfr3709YWBimpqY4Oztz5coVlixZIh6jXr16pKWlyWzp6eni/1+9eoWPjw/nzp3j06dP9O3bV1y+Smv5zMzMqFKlSjaNtVevXjFp0iTevHmDoaEhVlZWnDlzRpRA0tTU5OXLl7x69UpMREjHK6qrq5OSkkLDhg1F9eKaNWty584dEhISCAgIoFq1anz48IHjx49z4cIFsTTF1NQUe3t7oqOj81yuXrx4kVevXiGRSOjXrx9///23QqEXNTU1HBwccHBw4NOnT3Tt2pW3b9/i7OzMxIkTZVSCu3btyoMHD7h8+TJr1qxh/Pjxcp9HScHwRQU1GRkZPH/+nKtXr3L58mWZ7VcmLS2NESNGMGPGDJKSkti6dSs9evSQOxv4Palbty4HDx7ExMSEsLAwHBwcuHnzJsWLFxeFHh88eIChoSEbN24kPDycyZMnIwgCvXr1wsrKCk1NTXR1dTE0NKRo0aKUKFGC0qVLY2JiQsWKFWnVqhV9+/ZFRUWFmzdvsm7dOpmll0QioW7dutmM3N27dxkxYgRv3ryhbNmybNq0SZT3qlWrFlpaWkgkErp27YqmpiaxsbFih4HUyBUpUgRTU1PS09PR09OjaNGionLOpUuXWL9+PSNHjuT06dOkpKRQuXJlZs6cycqVK7GwsMhziRgWFsarV69QVVXl5MmTLF269KviywYGBowcORJDQ0PevHnDhg0bxOU6ZC7fbW1tgczs69SpU+X26pUUDAobumvXrlGpUiWqVatGs2bNaNGihbjl1rL0KxAXF0fnzp3ZvHkzKioqjBkzBm1tbTw8PGjbtq3MfNmfBVNTUw4cOECdOnWIjo5m0KBBnD59mhUrVnDu3DnU1dVxdnZGU1OTkSNHkpiYSOPGjZk9e7bcBeCWlpaMHj0aTU1Nnj9/zooVK/IsCr9w4QITJkwgNjYWc3NzNm7ciLq6uih9lFW8U19fX9S5i4+Px9raWqyj69Chg9jPW758eSQSCaampgCcPXuW8+fPk5aWhrm5OfPnz+fff/+lQYMG+Pr6MmLECPbu3StKW2UlIyMDX19fILNsqkGDBnK9Drlx8eJFrK2tWbFiBT179kRbW5ugoCC2bNkiIzxrY2Mjtl2tW7eOfv36fVVHiRLFUNjQjRw5kvr16/Po0SM+ffokjjyMjIz86bsiciMiIoLmzZvj7u6OlpYWx44dw9nZmbNnz1KsWDEePHhAy5YtRVHLn4kiRYqwY8cO2rRpQ2pqKpMmTRKTQgsXLqRatWqMGDGCd+/eYWZmxurVq/Hx8WHfvn1cvnyZiIiIfONG1apVY+LEiRgYGBAREcGyZctk1I0hc8m/Z88e5s6dS2pqKi1atGDt2rUYGhqyb98+BEHA1NQ0W3dAtWrVxHm1UqHPOnXqUL58edELlBq4ihUrisXHFhYWLF68GCcnJ2rXrk10dDT//vsvS5cuJTo6moyMDDw9PbOV3Tx79oyPHz+ioaEhtsN9CVFRUfz111+i5xobG8uhQ4fo06cP6urqPHnyhN27d4uem0QiYdKkSWzfvh0NDQ1cXV3p2LGjKA2l5NuisKF78eIFixYtolq1ahgaGmJgYCCz/Wo8efIES0tL7ty5Q7FixfD29hbLCerVq8fFixdFSZ7WrVtz6dKlH3zF2dHS0mL16tX069dPvG3MmDF06NCBSZMm8ezZM4yMjNiwYQMBAQGMHTuWgIAALl68yObNm1m1ahUnT57k2bNnMkuurJQpU4a//vqLUqVKER0dzcqVK0XDn5aWxrJly1i/fj0AvXr14p9//kFdXZ01a9Zw+PBhIPd+UBsbG1EjT1tbmzZt2ojZacj06CDTqA8ePJhVq1YxZ84cqlWrhiAIXLx4kbFjx+Ln54eqqqo4ICcxMREPDw/R2CQnJ4sxv3r16pGYmPhFcv/nz5+nQ4cOnDhxAhUVFQYOHEjJkiWJjo7mxIkTODo6ist9qRKyFHt7e06cOIGhoSHXrl2jVatWecq6KykYFE5GNGzYkICAgGwFw78iPj4+dOzYkaioKMzMzHB3d5cZ/gKZ3oSHhwe9e/fG19eXLl26sGLFCvr37/9TKcuqqqoya9YsLCwsiIyMpE+fPixcuJBLly5RqFAhcWjx6NGjSUlJEecuSCWH7t69K/atlitXjlq1amVT5ChcuLDoMfr7++Pi4oK9vT379+8Xp4+NGzeOXr16kZaWxpw5c0Q1YGtra1EC6nOk07vOnz+PlZUVWlpaPH/+HEEQKFKkiMwPaKlSpUQPLy4ujlWrVom1cxUqVGDs2LFil8TRo0eJiIjg5s2bNGzYkDt37pCUlCSOcrSwsMDIyAhra2tatWpFy5Yt85yhGxcXx6xZs3B3dwegUqVKLFq0iNq1a2NmZsayZct49+4dXl5e9OrVi/379+Pl5YW+vj5t2rQRj9O0aVM8PT3p1q0bAQEBtGzZkuPHj4vZWSUFj8Ie3dixY5k8eTI7duzg9u3bPHjwQGb7lZg9ezZRUVHo6Ojg7e2dzchJMTIy4uTJk3Tv3p3U1FTGjh1LjRo1WLFiBUFBQXJ5BWvXrhUD5DkVln6Or6+vqB6iSF1V+/btcXR0JDY2VpxL0blzZ2rXri2Wb6iqqtKxY0fs7Oywt7cXPSbIrAsLCgrCzc0tx2WVlpYWo0ePpmHDhmRkZHDgwAGuXr2KhoYGCxcupFevXkBm54W3tzcqKirMmzePJk2a5BkXNDY2pl+/flSsWJGPHz9y7tw5AJlr+5yzZ8+KRs7R0ZH//vtP3N/Q0JAmTZoAmXNzP1cauXfvHpBZAnP48GFGjhxJ9erV6dKlC2vXruXp06fZlvRHjx4VjZyxsTFbtmwRfwwMDQ3FNqvg4GAKFSokioOeOXMm22ekatWqeHl5UadOHT58+KCcA/GNUdgl6d69O4DMrINfdfLXn3/+yZUrV4iPj8fBwQFXV1cZmfGsBkZbW5tDhw6xdOlSli9fTmhoKLNnz2b27Nmoq6tTtmxZTE1Ns21ly5ZlxYoVrF27Fsj0qPT09LJlBbMGzs+cOcO0adNISUmhdu3a1K5dO8fAem4YGhqKha+7d+/m8OHDlCxZkj59+nDs2DHev38vKuh+/n6pqalRpUoVrK2tGTFiBAEBATmeo3///jIDt+vXr0+LFi3Ev6VFvRkZGdSoUUMupRDIHNK8cuVKYmNjMTY2ZsSIEdnietLaQBMTE1EIICYmhrdv34r71KxZUyzqLVu2LKqqqqSnp1OsWDHMzc05d+4choaG7N+/X5zf+vTpU65du8a1a9dwcnKibNmy2NjY0L9/f5o0acLYsWO5fv06np6evH37lg4dOjBhwgSmTJlCyZIlOXjwIADVq1cnNTVVXNpPnDiRIUOGZGuP1NPTY+PGjTRs2JAHDx4QGRmJurr6dy8Y/l8oYla41zVr21FO/OzDcz7vo/P09MTOzo6YmBiqVKmCu7t7nl4EZBab7t+/n/Xr13P//n25FDcAFixYwKRJk3L0bEJDQxEEgW3btvHff/8B0Lp1a5YtWyaXB5gV6fJLEASWL1/O0qVLAbCzs2PSpEkMGjSIFy9eAJnSQXXr1hUNao0aNWTO9/Tp0xzPce/ePebNmyf+Xa9ePdGYS5kwYQI3btxg0KBBcjW+37t3j507d5KSkkKlSpWYNWtWjkvJrFJVvr6+7N27V1w2S5fHgiCwePFiwsLC6NWrF4GBgdy8eZNWrVqhp6eHq6srnTp1kpGhev36NWfPnuXcuXNcunRJpv/WwsKCiRMnYm9vz5UrV5gxY4YY78tKkyZNKFSoEJ6enkgkEpYtW8bIkSMBcuwDFwSBSpUqERcXx8WLF6lWrdp3k3M6cuQI8+bNo1+/fvz55595etzf09D9FL2uP7shU5RWrVpx9epV2rdvj7+/P5aWlpw6dSrPL6ampiaDBg1i0KBBREREEB4ezqtXr8Tt9evX4v9jY2PR1NRk/fr14rIuJ9LT01m0aJEo7tivXz+mT5/+VYocEomEKVOmUKZMGSZPnsyxY8d48+YNBw4c4Pbt21SpUkXugdmf8/l4xpya8jt06MCNGzc4c+YMFhYWOco1paam8uDBA27cuCGqI9evX58pU6bkOMLwcywtLQkICOD69ets27aN6dOnY2BgQEhICGFhYWKB8okTJ4BMJeALFy4AZFOFMTExYcSIEYwYMYKEhAQuX76Mm5sbhw4d4s6dO/Tr14+pU6cyZswYTp06hY+PDzNnzuTJkyfo6OjQtm1bAgMDuXr1KpqamuzYsSPfMZESiYRq1apx8+ZNnjx5QrVq1fJ9zl+LtI1wypQpAPz9998EBgaybNmyAlWA+ZlQ2NDt2rUrz/uz6nX9KtSsWZNr167Rvn17Hjx4QPPmzTl06JBcczhVVVUpW7YsZcuWzTYzQDrNysjISKZS/nMSEhIYO3Ysnp6eQOYHb+DAgQU2YrB3796UKFGCIUOG4OvrS58+fXBxcfliIwf/Z+hKlixJREREjoauWbNm6Onp8fbtW/z9/cUvsSAIBAUFcf36dW7fvi1TT2Zra8vQoUPl/sJJJBJ69+5NSEgI4eHhbN++nbFjx4rxzdq1axMWFkZiYqI4/FoqApqX/JV0Zm67du1Yvnw5mzZtwtnZmYiICGbNmoWTkxP9+vVj//79pKamEhUVxeDBgwkODqZo0aIcPnxY7oHf1atX5+bNm7l6zwWJdACTs7MzkLlq8PT0ZNOmTYSGhrJjxw6xePt3QmFD93n7Smpqqtg0ra2t/UsaOoDSpUtz5coVevTowYULF+jcuTMHDx6kR48eX3xMiUSSr5F79+4dPXv25NatW2hoaLB06VKZQS6K8vDhQzIyMmT6UCFTg+7EiRP06dMHf39/evXqxfjx4+nUqZNcntPnSA1d6dKlczV0hQoVok2bNqJOXvHixblx4wY3btyQidkVLlyYP/74g4YNG35R5lFDQ4OhQ4fy77//8uLFC9zc3MShP5aWlty/fx/I/EF7+/at+HmVd85D0aJFmTFjBlOmTOHw4cOsXLmS27dvs3nzZjZv3kyrVq24c+cOkZGRVKxYkePHj+ea2MoJadLiWxu6hIQE+vTpg5ubGwDLli1j0qRJ7N+/nyFDhnDmzBlsbW05fPgwxsbG3/RavjcKZ12zFghHRkYSFxeHv78/TZo0Yf/+/V98IUuWLMl3CvmOHTuQSCQy25d8SXNDX1+f06dPM2DAADIyMhgzZoxcw1q+lBcvXmBtbc2tW7cwNDRkx44dX2XkDhw4gL29Pfb29vzzzz/Z2oxq1KjBmTNnqFq1Ku/fv2fWrFm0aNGCVatWyZ0skCI1dNJG/tzq7zp27AhkilTOmTOHU6dO8e7dOzQ0NGjYsCHjxo1jwYIFdO7c+au+XMbGxqLCi6enJwkJCRgaGlK5cmWxGqB27dqiN1e+fHm5epjfvHkjBus1NDRwdHTk5s2bXLlyRRyN6OnpSWRkJA0bNsTLy0shIweInu63LEh/9+4dLVu2xM3NjUKFCnHo0CEmT54stuKdPn0aIyMjbt++jbW1Nc+fP/9m1/IjKBDxeDMzM5YsWfLFzco3b95k48aN1KpVK9999fX1iYiIELf8kiOKoq6uzqZNmzAzM+Pdu3csXry4QI8vRVosGhQURPny5Tlw4AD16tX7omOlpqayfPly5s6dKxo3Z2dnRo4cmc0AlS5dWszqlipVisjISFxcXLC2tmbq1Km5Zlk/J2tGE3KO0UHmBDQzMzOxVKNy5cr069ePxYsX079/f6pUqVJgMwzq169Ps2bNxL8bNWpEaGgoUVFRaGhoUKVKFfH55WWMbt26xfTp07GwsKBixYoYGRnRvn171q1bR2xsLBKJhCZNmnD06FECAgL466+/GDt2LKdPn/6ioTNSQxceHp6jJNTX8uLFCywtLblx4wZFihTBw8ODnj17yuzTqFEjPD09KV++PK9evaJVq1b5irP+ShTYlAw1NTWxkl0R4uLicHR0ZPPmzRQuXDjf/SUSCSVKlBC3b+Fia2hosHz5ciDTvf8WEti9evXi48eP1KtXDy8vr3wzvTkRGRnJpk2baNWqFZs2bQIy6xydnJyATIHOnIbb6OjoMHjwYC5cuMDq1auxsLAgNTUVNzc3HB0d820JS0xMFGcySA1dXFwc48aNw8fHR8aTlEgkLFy4EAcHBxYsWMD48eNp1KjRF3niiYmJLFiwgOPHj+e6j52dHRUrVkRTU5PKlSuL0k3Vq1fn1q1boneXU8G7NEvdvHlz1qxZI6qpJCUl4e7uzp9//sno0aNlHlO+fHn+++8/lixZonB2XIq+vr74Ol69evWLjpEXf/75J4GBgejo6ODj4yPWF36OmZkZXl5emJiY8OnTJwYPHvzbyEopHKOTZq+kCIJAREQEzs7O2VQs5EHaqtS6dWvxC5oXcXFxmJiYkJGRgYWFBYsWLaJGjRq57p+cnCzj1ci7FO3YsSMDBw5kx44dDBo0iNevXzNnzpwcR+N9CdJg+7p16zA1NRXLPfKjdOnSPHv2jPXr17Nv3z4xkF+8eHEWLVqEpaWluFzU1dWlWrVquXoJampqYsD98OHDzJo1C01NTZnnmNPUMV9fX9LS0ihWrBja2to4Ojqyf/9+UeG3QoUKDBs2jF69eqGjo0PFihWzxQxzIy+PZsWKFdy5cwfIfP1yC5qbm5szdepUJk2aRHx8PIULF6ZEiRJiRrtdu3asWLFCJuGRlpbGuHHjxA6SHj16YG9vT5s2bQgNDWX58uXs2LFDplZPUfKK1fbs2ZMVK1awZMkSunfvnu+yWpFyj44dO3L+/Hni4+NZvHgxmzdvltHokx5LEAR27twprpI6der02yQmFPbounbtKrPZ2dkxb948atWqlU3dNT8OHDjAnTt35F4eVqlShW3btuHm5saePXvIyMjAysoqz2Ja6fxO6ZbXAOmsSCQStm7dyvTp0wGYN28eQ4YMkbtmLj+kHsWrV6/kfoyPjw9dunShXr16bN26lcTERGrVqsWmTZt49uwZnTt3xtbWlqCgIEqWLMn+/ftzbbv6HOlSVJ5kgFT9w8rKColEwooVK7hx4wajR49GX1+fwMBApk+fTp06dZg/f36+xc4ZGRnEx8fn+SMUEhLC9u3bxb9zC1lIxxOOGDGC+Ph46tWrh76+PmfPnkVVVZWFCxdy6tQpGSMXHx9Pt27dcHFxESdmHT58mJ49e2JoaIi5uTmtW7fO93X5Gv766y+KFSvGixcvWLlyZYEee+zYsWzatAlVVVV27dpFhw4dRMFTKampqQwZMkSsjZwxY0a2ushfGYU9uoLS0QoJCWH8+PFcuHBB7mWMpaWlzKAPKysrqlWrxsaNG3OdPD59+nQmTZok/h0TEyO3sVNRUWHRokWYmJgwevRotm/fTmhoKEeOHPnqQsZKlSrh4+MjV0wsIyOD5cuXi6okEomEjh078ueff9K4cWPRA1u+fDnBwcGUKlWKAwcOKLSsv3v3LpC/oQsPDycoKAgVFRWZJv2yZcsyd+5cpkyZwsGDB9m8eTOBgYGsX7+ejRs3YmVlhYqKCgkJCcTHx4tbQkKCTGX+9OnTc1SqXrZsGSkpKRQuXJjIyEhev35NtWrVsnnYr169IjAwEIlEgo2NDR4eHqSlpWFiYsK+ffuylZS8ffuWjh07cuvWLTQ1Ndm7dy92dnZyv24Fhb6+PvPmzWPMmDHMnz+fxMTEHFcQX8qwYcMoU6YMPXv2xMPDg6ZNm3LmzBnKlClDTEyMWG2gqqrK+vXrGT58eIGc92fhq2J0giB88Rr+9u3bvHv3DgsLC3FWwaVLl1izZg1qampytZKpq6tTt27dPI1FoUKF0NfXl9kUZcSIEZw4cQJtbW0uXLhAs2bNclzSKYLUo8vP0KWkpDBlyhTRyA0bNoyHDx9y4MABmf7RsLAwVqxYAcDUqVMVMnIZGRli72d+hk7qzdWsWTNHtRpp/M/Hx4fdu3fTtGlT0tPTuXLlCpcuXRILY1+/fs2HDx+ytR9t27Yt23t/69Ytzp49i4qKCps2bUJdXZ3ExMRsRctRUVFiKYmZmRlnz54lLS2NHj16cO/evWxG7tmzZzRq1Ihbt25hZGSEl5fXDzFyUgYMGMCMGTMA+O+//xg6dKjcQ73lwdbWlsuXL1OiRAkePnxIo0aNOHv2LM2aNePChQvo6Ohw4sSJ387IwRdKqe/atYulS5eKcaXKlSvz119/ycgE5UerVq2yDVwZNGgQVatWZdq0aXIVjKanp/Pw4UPat2+v2BP4Ajp06MClS5fo2LEj9+/fp1GjRpw5c0ac7gWZhv/9+/e8fPlSZjM0NGTZsmUycRF5DF10dDRjxozhxo0bqKmp4eTkxNixY3Pcd86cOSQmJmJlZaVwiUpAQAAxMTFoa2tTpUqVXPdLTU0V257yi8eqqKiIQ6yfPHnCrVu30NLSQkdHBx0dHbS1tdHW1hb/r6GhQaNGjXj79i2+vr5i8XVGRgaLFi0CMuNYDx8+pEiRIrx9+5bXr1+LMdLU1FSuX79ORkYGqqqqPH/+HE1NTVavXs2wYcPEH4RPnz7h5+eHr68vLi4uYu2bu7s7ZmZmCr1uBY107keZMmUYO3YsBw4cIDw8nP379+epqqIIFhYWXLt2DVtbW54+fSoqHxsbG3P69Okvzvz/7Chs6FasWMHs2bPFZRNkZopGjhzJhw8f5B5gLR2SnBUdHR2MjIzE2/v370/p0qXFGN6CBQto1KgRlSpVIioqiqVLl/L69WuGDh2q6NP4IurXry9+SJ49e0aTJk0YMmQIwcHBBAQEEBgYmKvsesOGDXF0dBT/zs/QhYWFMXToUF6+fImOjk6eyZ6bN29y4MABJBIJ//33n8LLHWmAv1atWnlKT92/f18M7ktLImJiYrh//z76+vro6uqir6+fbTh29erVxaLYvLCzs2Pr1q0cPXpUNHSurq48fvwYXV1dqlatyvz588VylLCwMGrXro26ujq3b98mPj5ebN4vU6YM7u7uaGhosGPHDnx9ffHx8clWlNuwYUNOnDjx3fpL5WHAgAGUKlWKvn37cvnyZVq3bo2rq2u24UNfiomJCT4+PnTr1o1Lly5RtWpV3N3dRfmr3xGFDd3atWtxcXGR6YDo3LkzNWrUYN68eXIbOnkIDg6WqbGKjIxk2LBhvHnzhsKFC1OvXj18fX3l+hIVFKampvj6+tK1a1cuX76cLXAskUgoU6YMFStWpGLFirx584bTp0+zbds2GUMnreN68+ZNtmbvR48eMWLECN6/f4+xsTGbN28Wp2B9jiAITJs2DciUKqpbt65CSifwf4Yuv2Wrj48PkBkrVVFRITo6Gicnp2zLTw0NDfT09NDX10dPT0+c+VCnTh3q1atH/fr1c/TYHRwc2Lp1Kx4eHkRFRaGuri4ux4cNGyYO1M7IyBDHIYaGhpKRkSGWNkmXvaamprRs2TJHqanKlSvTuHFjmjRpgoODwxeXhXxL2rRpw/nz57Gzs+Pp06e0aNGCo0ePyt3NkR+FCxcWh4xbWVmhp6dXIMf9WVHY0EVEROTYI2hlZfXVcxUuXryY598rV64s8IzUlyD9kKxcuZLw8HDRqFWsWJHy5cvLJFdev37N6dOn8fLy4v379+IIw8KFC2NkZMTHjx/Zt28fLVu2JDExkU2bNrFlyxaSk5OpUqUKmzdvzrMn9cKFC1y/fh0dHR0ZNRFFkM40zUtMNSIigufPnyORSMSp9NIOBMgsnZAa7JSUFD5+/CjW2kmRth717NlT7LXMSs2aNalWrRpPnz5l3rx5mJub8/79ewoVKoSqqqpMaYf0BzCrF51VLkxaj1aoUCEaNGhA48aNsbKywtLSUnwPfnZq167NxYsX6dy5M8+fP6dLly74+/tn85i/FA0NDWxsbArkWD87Chu6SpUqcejQITFoKuXgwYM/PMahCAkJCeKs0aCgIAIDA2X+jYyMpH///nnOqh08eHC+Sx5pa5WmpiYZGRky3o+DgwPOzs6MGDGC4cOH4+7uLs5iaN++Pfv378+WPPnce5Lu37JlS0qWLCn3889qhCpUqEBAQAArV66kZs2aMrVT0nkO0hq0Zs2aiaUWT58+xdPTk6JFi7J79250dXVJTEwkLi5OzKpK/y+RSLhx4wanTp3i2LFjLFy4kNKlS2e7rjFjxjB+/Hjc3d25e/cuKioqJCcns3v3bnFZCohlPomJiQiCIOrSNWzYkOvXr2NoaIi7uzsWFhY5znXN6bXMjYKSKPqS47x69Ur0Vk1NTTE0NCywTOz/Egobuvnz59OrVy8uX74sxox8fHzw9PTk0KFDBX6B3wobGxuCg4PzLFCdNm0aQUFBzJ0794vblKTZ0s6dO2dbHixevBg1NTVWrVoldjaUK1eOFStWYGdnp9AH+mvaqCZOnMj9+/cJCQlh8eLF/PPPPzLn9vPzw8/PDzU1NZnOgO7du+Pm5kZISAgLFixg6dKl6Orq5lgYK11ytWvXjitXrrB161bmzJmTbb82bdqwa9cucSashoYGWlpavH37FnV1dXFYdHJyMhoaGqSkpIj//vHHH9ja2nL9+nVatmwpep458ezZM7Zu3cqAAQOoUKHCF79235Jt27YxfPhw0tPTsba25ujRo0oj94Uo/O3o3r07N27coGjRori6uuLq6krRokW5ceOGKCX9K/DgwQPRyJUoUQIrKyscHR2ZPXu2qGsGsGHDBoYPH55rL2duCILAggULREM3YMCAbPuoqKiwcOFCVq1ahZmZGfPmzePp06d07979u36gDQwM+Oeff1BTU8PLy4sjR46I96WlpYmFoz179pSpQSxUqBBOTk5oaGjg5+cnen15MWLECCDzS5ybEED9+vVxdXWlSZMmpKSkEB0djbGxMampqbx79y5HI2dmZsauXbvEsp+8elm9vb1p1KgRy5Yto0WLFjJKyT8DgiAwd+5chgwZQnp6Ov369cPd3b3AMq//iyjk0aWmpjJixAhmz54t14f6Z2b79u3UqFGD8uXL57qkKFOmDBMmTODkyZO8ffuWnTt3ykit50ZqaiojR44UO0WmTJmSZwvUsGHDfvj0dnNzc8aMGcPq1atZu3Yt1atXp0aNGri6uvLq1SsMDQ1zXMabmZkxefJkFi9ezKZNmzA3N88zqdGxY0dKlSpFeHg4x48fp3fv3jnuV6RIEVEGadWqVbx9+5YiRYoQFRWFmpqajJEzNjZm//79FC5cWByRmFu8ce/evQwaNIjU1FS0tLT4+PEj7du3Z9u2beL0tx9JSkoKw4cPZ+fOnQDMmjWLBQsWKD25r0QhQ6eurs7Ro0eZPXv2t7qe70a7du3yLR7u0aMHJUqUYNCgQdy4cYOOHTuyb9++PNPwMTEx4kQrFRUV1q1b98to9Nnb23P//n0uXrzIrFmzWLt2LVu2bAEyjXFumbmOHTty79493N3dmTt3Ljt27MDIyCjHfdXV1Rk6dCgLFixg48aNuRo6yPR4R4wYgYWFBZMmTRLjnSkpKaKx09XVZd++faKnKW0N+9yjk0qrz5w5U3yuy5YtY8SIEbi7u+Po6Mi///7LmDFjFHjF5Ofp06ccOnQo3wLgmzdv4uPjg6qqKi4uLgwbNuybXM//GgrH6Lp27Yqrq2uBlpH8zDRp0oSTJ0/Sp08fXr58Sfv27dmzZ0+OXktYWBgdOnTg/v37aGtrc/DgQTp27Ch30PtHI5FImDFjBgEBAYSGhjJw4EASEhKoUKFCnpLgUsn2Z8+eiTHN1atX51r0PXDgQBYvXsyNGze4c+dOvmUtDRo0wNXVlalTp3L16lW0tbXFZNK2bdvEusv09HTR0GX16NLS0hgzZowYB50yZQr//vsvSUlJHDhwQOw8mTp1Kq9fv2bJkiUFJh0FmZnxvn375jgzIid0dHQ4fPiwWMyr5OtR2NCZmZmxYMECfHx8qFevXjZ1g3HjxhXYxf0sVK1alTNnzuDo6MijR4+ws7Njw4YNMh0I0g6N0NBQihcvzunTp/MdCBMdHY2npyfnzp3j0aNH1KtXT1Ry+VF1Tbq6ujg5OTF8+HDRQI8bNy7fGbZaWlosXLiQIUOGcOfOHbZs2SLG4z7H2NgYOzs7Dh48yMaNG9m4cWO+16Wjo8OMGTM4fvy4GPdctWqVTEggIiKClJQUcSobZKrd9OrVizNnzqCiosKaNWtkvDY1NTVWrlxJuXLlmD17NuvWrSM0NJStW7cWSH3dzp07GTt2LOnp6TRp0iSb3P7nqKmp0bt37+9aG/q/gMKGbuvWrRgaGnL79m1u374tc590EtPvSIkSJXBzc2Po0KF4e3szaNAgdu3ahaOjI15eXnTr1k2hSWI3btygZcuWMrfdu3ePrVu3oqOjw9WrV6lTp06+1/UlIgvp6el8+vQp13hj5cqVxbhbixYt5J59YGpqyrRp05g3bx47d+7E2to615KjkSNHcvDgQQ4fPsz8+fPzrBX09PTMpgM3c+bMbOKRUiWYUqVKoaqqSkREBB07duTOnTtoaWmxf//+HONwEomESZMmUaZMGUaMGIGbmxtv3rzh0KFDopCmtIxHXgRBwMnJiSVLlgDQp08ftm/fnmupi5Jvi8KGThrs/dWR9loqgq6uLsePH2fUqFHs37+fWbNmERMTw/jx40lNTcXKyoqDBw9SpEgRmeVqTufJK7gcHx/P27dvc5Q3/7x0Q6oCm7U9KLfZAwkJCXh4eHD69Gnevn2LjY0NnTp1yvFaypQpw/z582VmteZG1nicg4MDO3bs4NWrV8TFxeUaq2vQoAF//PEHN27cwMnJSSwgzimzmJM32a5dO1EWXYo0ixscHMzWrVtZsGCBOKzmyJEjNGjQIM/3ZeDAgVSoUIEuXbpw/fp1Wrdujbu7O0eOHBHrRuvXr59jKCLrsVJSUhg6dKg4QFyZUPjxKDzX9VdHkZmRucXW4uLiqF27Nm/evBFv6969O5s2bcpRcio3g/r8+XPWrl3L9u3biY+PR09Pjz59+jBkyJBcx0pmNXRxcXGUL1+ehIQELl68SIMGDQDEcX5S3rx5w6lTp/D09JSZuAWZBqdv3765Lk2lBcN5kdWYRUdH07BhQwRBwMfHR/SIcurTlMrJSyQSfHx8qF27dq5xrHv37rFt2zaOHTsmaqcNGTIk237z58/n3Llz4t+VKlXi+PHjOdbK5fa+SJvdX79+LcYDIbM0ZunSpTnGHqXHio6Opnv37nh6eqKqqsqGDRu+Wy/278K3mOuqsKHLqu0mc6D/P6imUqVKdOnSRa4yjB9BQRg6yCxTkMrZTJgwgX/++SfXAHZ+nmNUVBSenp7UrVs3TxVakDV0+/fvZ+jQoVSsWJH79++LHsOFCxcQBIHHjx9z8uRJbty4IcpplSlThk6dOhEVFcXBgwfJyMigcuXKDBs2LMfrVNTQeXt7M3LkSExNTWUMTm4N6QMGDODIkSM0bdoUd3d34uPj8zzX4cOHxWHLq1atEo27lHfv3tGrVy+Sk5Np1KgRBw8ezHWOQ17vS9ZlL8CiRYsYN25crl6ZtrY2ISEhtG/fnkePHqGrq8vhw4e/atjR/yo/xQDru3fvcufOHdLT00VJn+fPn6OqqkrVqlVZv349kydP5urVq791QNXBwYG4uDiMjY3p2rXrVx3L0NAw3yB1TkjnQfTu3Vv8AiYnJ+Pt7c3JkycJDAwU97WwsKBTp07Url0bFRUVwsLCMDIyYvPmzTx//pwVK1YwevTor/6BunXrFkC+iRgp//zzDydPnuTKlSucPHkSa2vrPPfv2bMn586d4+TJk8ydO5edO3fK9K4WL16cpUuXEh0dzahRo744oVCyZEkuXbrE8uXLqVWrVr49offv36dDhw6EhYVRokQJzpw5I9ePhJLvg8Ie3apVq7hy5Qrbt28XrW10dDRDhw6lSZMmDBs2jD59+pCYmCjzi/6zIP21+PTpU77DeAqiLOT169d8+vQpX/02eccNSj26N2/eYGZmRkZGBg8ePKBixYqkpqZibW0teiEaGhq0bNmSjh07ZlNVlnYQhISE4OLiQnR0NAYGBowaNUpmX0U9ut69e3P37l2WLFki0ymTl8TQ/Pnz+e+//yhfvjyXLl3Kt2n9yZMnDB8+nBcvXlC7dm3Wrl2bbemdn8pHTEwM165do02bNvnORcjvc+Dp6YmjoyOxsbFUr16dM2fO5Bp6UJI/38KjU7hYaOnSpfzzzz8yF2BgYMC8efP477//0NbWZs6cOdkysj8bAwcOzBavKmjc3d2pX78+TZo04dSpUwV67CNHjpCRkcEff/whFsdu2rSJO3fuoK2tTb9+/diyZUs2w/U5ZcuW5a+//qJUqVJER0ezcuVKUc1EURITE0UxVXk9OoDJkydjbGxMUFCQWDqSF4UKFWLhwoVoa2tz//59ucpTshIcHIy1tTXdunWjSZMmXzS9Tsru3buxs7MjNjaWFi1acPXqVaWR+wlR2NBFR0fn6H28f/9eHG5iaGhYoBLQ34ITJ07QunXrHPXKCoItW7Zgb28vegOTJ08u0Nck67IVMtVIpEq8AwcOpHv37nL/GhYuXJhJkyZRpUoVkpOT2bBhgyiZrgj3798nLS0NY2NjhUQidXV1mT9/PpApxSWPd1umTBmxy2Hv3r1cuXJFrnPdvXuXFi1aiJnpe/fuYWlpqbBxFwSBRYsWMXLkSNLS0nBwcODs2bNyjexU8v1R2NB16dKFwYMHc/z4cUJDQwkNDeX48eMMGTJEjFXduHFD7ulTPwoDAwNRsrugjfL69esZP348GRkZ9OjRg+LFi/P8+XO5vBV5ePr0KXfv3kVNTU2ccfDff/8RFRWFubk5rVq1UviYWlpajB49mmrVqpGRkaGQ8ZDi6ekJZHpzipZSSEVD4+LiRLHN/GjZsiX29vYAODk5ZZts9TnPnj3DxsaGt2/fUqNGDS5dukTlypUJDg6mcePGcpdOpaamMmrUKBYuXAhk/ojt2bOnwHTilBQ8CicjNm7cyMSJE+nduzdpaWmZB1FTY8CAAeIHtGrVqmKP5M/KhQsXaN26Nc+ePePOnTt5SvrkRU6Zu6yzMDw8PESv7tmzZ7l6K/llW6WEhoaKNV3NmzcnOTmZ0NBQcdhycnIytWrVyteby3q+sLAwjhw5wqFDh2Rq8DQ1NfNUAZGira3NvHnz2LVrF5BZavO5RydPzWLdunW5e/cuz58/z1M+K2tMcPbs2Zw6dYrY2FiioqLylFx68eKFmNW1trambt26NGvWjOfPnxMdHc2jR49yHCqU9dqlvcwXLlwQe5lHjhyZ73NTBHliwwWlkfe/whfX0cXFxYlZvQoVKsj9Rf3RZA101qtXj4CAAHx8fHJUTf7SD1xiYiLbtm1j9erV4gChDh06sG7dulyzgPK+fseOHaNfv36oqKjg5uYmes4RERH07NmT9+/fU6NGDSwsLDAyMqJo0aIYGRnJ/F+aWXV1deXw4cNcuXJFLD9RVVWlVatW2NvbY2dnl+8c2+TkZKZMmSJqEc6aNYu///47m0eX3xfz4cOH1KlTh4yMDPbs2ZOtbCQ3wsLCsLa2RlVVlZs3b4qJhZyWzp93K5QvX1704hYsWMCkSZNy9ESl155bL3NBIQgCt27dwsTEJN/Pw+9s6H6K8hJvb29atmyJrq4utWrVkrlv3bp130z94VdCS0uLMWPGMGrUKM6ePUtAQAA9e/aUa7JZXqSnp4uDgnr16iUTHihZsiQbNmygb9++PH78ON+Yk1R2XIqVlRU9e/akW7duMuUauRm6jIwMPD09WbFiBXfu3EFNTY1169bRt2/fL3puq1atIiMjg7Zt28pt5OD/yllq1KiRb/ZUIpEwe/ZsypUrx9ixYwkKCkJDQ4ONGzeKS+Dc+JJeZkVITU1l+PDh7Nixg4oVK3L8+HG5vGkl8qGwobOzs8PDwyPbWLTVq1cze/ZspaHLgoqKCu3bt5e7dCQ/9uzZw5MnT9DT08uxp9jc3Bw3Nzdu374tzmz4+PEjHz58EP+NjIwkIyMDQRAwNzfH3t6enj17Uq5cObmuIT4+XmZANWROdNu7d+8XxQalx5R6hDkJlOaFNLuviNEZMGAAZcqUYcuWLYwZM4YmTZrkuf+X9DIrQtYB0gAvX77E2tpabFtT8vUobOiWLl0qDsKVTqZavnw5CxYs4PTp0wV+gT8zb968oWjRogXmXufFu3fvxOE3Y8aMybWw18TEJM8asvT0dKKiotDQ0FBoxkRoaCjbtm1jz549YtBfX1+fvn37Mn78+DyzrImJiQQHB+c6yezIkSPExcVR6f+xd9ZhUXRvH/8u3SkhSIiIgWAgdiE2dmNgP7bYio9dYMdjJ3a3WKggigIKAiIGSHd37573D96dH8vuwiwugjqf65pLmT0zc3Z257v3OecOU1OR64q+f/8egGhCB5TXFaYjzJcvX8a8efNQWlqK7t274+7du2KN+omPj8egQYMQHBwMRUVFHD16FPv27cPHjx8xcOBAnD17tsoUWQz0EFnoZs6ciYyMDPTp0wdv3rzBtWvXsH37djx69Khap9g/ibNnz8LR0RFNmjRBYGBgrZbMCwsLw4gRI5CSkgJjY2Oesol0yMzM5Cn+ExERgYyMDGhra0NPTw/6+vrQ09Oj/q+jowNpaWkQQvD+/XucOHECbm5uVGEaExMTzJo1C+PGjYOiomKV80mRkZEYMWIEwsLC4OHhITBJADcT87Rp00Rarc3IyKCsyupy2okKIQS7du2i3F7GjRsHV1dXgbHMNaXicFhXVxdubm5o164d+vfvjylTpuDJkyewt7fHrl27MHfuXLFd929EZKEDgJUrVyI9PR3t27cHm83G06dPa7xq+bvBrQWxc+dOAKDCp7g+XeLm3bt3GDt2LDIyMmBsbIxjx44JTfVTWFgIPz8//PjxgxK0yMhIZGRkiHRNFosFHR0dKCoq8mQI6datG2bPno0+ffrQSkz54cMHjBo1ivJVPHr0KJ/QhYeHw8vLCxISEnBwcBApGoU7bDUzMxOr/1ppaSkWL14MV1dXAMCKFSvEnozzxYsXGDlyJHJyctCiRQs8evSIylytpKSEa9euYenSpTh9+jSWL1+OmJgYbNu2Tax9+JugJXQHDx7k26evrw8FBQX06NEDfn5+8PPzA/D7JN4khFAWCl1KSkowb948XLlyBQDQr18/PHv2DM7Ozpg+fbpIQ0E6vHr1CiNGjEBxcTGsrKxw8+ZNPp8/DoeDV69e4dq1a3j79q3QgjO6urowMTFB48aNYWJiAkNDQ6SmpiIhIYHa4uPjkZiYiLKyMiozi6ysLEaOHIlZs2bB3NxcpL6PGjUKhYWFaNKkCX78+IG7d+8iISEBenp6VDuumPTt2xeNGjXC9+/faV+DuxAh6nC3KjgcDiZMmEAl6ty9e7fYs2k/fPgQI0aMQFlZGXr27Ik7d+7wCbWUlBQOHDgAQ0NDbNiwAQcPHkRaWprYfDH/NmgJnbCi0ZKSkvD29qYquP9OiTeXLl1KuRaoqqpWm2MsKysLI0eOhIeHByQlJXHixAlMmzYNHTp0wIcPH3Dnzh2+5JBc6LiOCEpPdOPGDUq41q1bBwUFBaqObF5eHi5evIijR48iPDycOqZRo0bo0qULVVDbxMQExsbGfCuSwvrE4XAoAUxNTUWbNm2qrV3LjZutyOnTp1FYWIg2bdpQZfs+fPiAbt264fHjx1RCCK7/X2hoKD5//kxLTFNSUpCdnY0HDx4AKPeJq5zHrqbuF8nJyXj8+DEAULVoX79+TfVXGNXdo4pcu3YNZWVlkJSUxJ49e/hErmLfV65cifv378Pf3x937tzB6dOnxTp8/msgfxnZ2dkEALW5uLiQ/Px8gRuXmJgYYm5uTgAQJSUl8uTJE+o1JycnAoDMnj1b6DWFnb/ilpyczLcFBQWRli1bEgBEXl6eXLx4kXz58oU4OjoSVVVV6j2oqamRxYsXE19fX5KXlyfwXJU3On2iu33//p1vW7t2LQFAunfvTu0zMTEhAIiGhgZ58+YNIYSQyMhI0qxZMwKAqKqqkhMnTpCCgoIqP8Pk5GQyd+5cAoCYmZmRuLg4vvf3Mzx79oz07NmTur8KCgrk8uXLVd5PUaj8nl+8eCGwXVpaGunatSsBQKSlpcnly5d/6n39LnCf0ezsbLGd868VOhkZGXLhwoUqH2BCCPn48SPR09MjAEjDhg3Jx48fec535coVAoB07txZ6DVrKnTJyckkPDyc9OrViwAgEhISREJCgnoAmzZtSvbt28cnXPVB6O7evUsAEEVFRfLlyxdCSLlAWVtbEwBEVlaW3LhxgxBCSHp6OunWrRv1vjQ0NMjq1atJTEyMwPv57t07Ii0tTQCQK1eu/LTwCCMgIIDY2NgQAERSUpLs2bNHLEJHCO97lpaWJhcuXOB5/cePH8TMzIz6IfPw8BDLe/odqA2hq1EB6x07dvDt37lzJ18O//rM9evXqThRYTx9+hTdu3dHQkICzM3N4ePjw1fHwcLCAkD5ClpN6jdUh7KyMi5evIjx48eDw+GAw+HAxsYGt27dQkBAAP755596GZXSrFkzKCkpIT8/H1+/fgVQPrzz8PDA0KFDUVxcjLFjx2Lv3r1QV1fH8+fPsWfPHhgbGyMjIwMuLi5o3Lgxxo4dC29vbx7n5o0bN6K0tBS2trbV5q/7Gdq2bYsnT55g7NixYLPZWLZsGVxcXHj6UlM0NDTg7u6OsWPHorS0FJMnT8a2bdtACIGfnx86deqE79+/w9DQEN7e3rRS2jMIR+QQMC0tLbx8+ZJ6wLl8+vQJffr0QXJyslg7KG644SWJiYlV+r9VrN5kY2OD27dvC6xnUFpaCiUlJZSUlCAiIkKgIymdlcTqSuERQuDh4QFTU9NqE5rSKasnDnEkhODatWsoLCxEv379+F6fOXMmvLy88O+//2Lr1q3UfjabDUdHRxw+fBhA+QLW3r17ISkpCTabjYcPH+LAgQPw8PCgjrGyssKiRYvQoEED2NnZQVJSEp6engKTR3Adoqv7asvJydHyiUtOTsauXbuwZ88eAOXJP/fu3cuz+i3KHF3lvq5evRq7du0CAAwdOhTu7u4oLCxE27Zt4ebmJvZFrvpObYSAiTx0lZOTI1+/fuXb/+XLFyInJ/cz1uUvgWsWJyYmChyG5eXlUfNuAMjEiRNJcXFxleds06YNAUDu3r0r8PWfGbrWZMj5K4auWVlZZPLkydR9OnLkCN/wdenSpQQA6d+/P9894XA4ZPfu3dTxI0aM4JkXJYSQoKAgMmPGDCInJ8czrwqAzJgxQ+D7SkpKIj169OBrL2w7efJktd8Z7rn37t1LJCUlCQDSrVs3EhYWJrah8qFDh3imJQYOHEhyc3N/+ry/I/Vi6GphYYFr167x7b969epvnzq9pKQEs2fPpuJJnZyccOHChWpL1HGt2+Dg4FrvY30gJycHI0eOpKpcAcCqVasQExPD047r9uHv789nXbFYLCxbtgzXrl2DjIwM7ty5A1tbW56CQ5aWljh16hRiY2Oxfft26OvrAyjPn7dixQqBfbt79y68vLwAlHsFCNu4/mirVq2i7Wc4ceJEXLp0iSpHOWTIEIErzjVh/vz5uH37NhWHe//+/Xo5JfG7IrLQrVu3Dlu2bMGUKVNw7tw5nDt3Dg4ODti2bRvWrVtXG338JRQVFWHkyJG4dOkSJCUl8d9//2H79u20PPW5yQ3+BqFLTU1Fv3798PLlSygoKODq1ato06YNcnNz4ejoyOPnZ2lpCWlpaaSlpfG4wFRk7NixeP78OdTV1eHj44OGDRvy+Yo1aNAATk5OiIyMxOPHj/Hw4UOBDsL5+fnYsmULgPJaFGVlZUK34uJitGrVChkZGVi/fj3t929jY4N79+5BR0cHX79+xaBBg6gMNT/LsGHDEB0djYMHD1ZbMJxBRGpiBj58+JB06dKFKCgoEE1NTWJjY0M8PT1/yrR0dnYmAIijo2OV7a5fv06aNWtGZGVlSatWrYibm5tI1xE2dL116xY1bNDW1ib79+8n0dHR1Q4BCSHk5cuX1MrciRMnanoLaCHO1dKaDIO3bt1K3ac+ffqQb9++kb1791L7fHx8qL7eunWLWh19+PBhle/r8+fP1DkkJSVJfHy8SCucSUlJ1IqugYFBtS4qhBDi7u5OXdPJyYmw2Wzan4Onpyd17JIlS2gfx1A9f6x7iZ+fHzE2NiaWlpZVCp23tzeRlJQkO3fuJKGhoWTt2rVEWlqafPr0ifa1hAldRkYGWbx4MVFRUaG+wFZWVuTz58/VCh2HwyFTp06ljvv3338Jh8P52dsikLoWum/fvhE7OzvqvVa8X6NHjyZlZWWEEEL2799PWCwWAUCGDBlS5TxnQUEBGTlyJHWeTZs2ieSz9vXrV9K4cWMCgGhqapJ3797Rvp+bN2+mrjthwgRSVFRU7TF+fn5EW1ubEtXv37/Tvh5D9fyRQpebm0uaNm1K3N3dSc+ePasUurFjxxI7OzuefR07dqzSWbcy1S1GJCUlkd27dxN1dXUCgBgbG5N3795V+9BxOByyfv166qGZNGlStYsYNaGuhY673bhxg3J6BUCWLVtG2Gw2YbPZZPHixdT+efPmUeIniNTUVNK5c2fKt/Ho0aO0rGgub968IRoaGgQAMTExId++fRP5np45c4ZISUkRAKRXr14kMzNTaNv79+8TBQUFAoC0adOGxMfHi3w9hqqpF0JXVlZGdu3aRaytrYmOjg5RV1fn2UTFwcGBLF68mBBCqhU6AwMDsm/fPp5969evJ5aWlkKPKSoqItnZ2dQWGxtbpdBxt4CAAGJgYEBZCQ8fPqRlXZw+fZpambOxsanyoakJ9UXokpOTSXx8PDl48CDl+FtQUEBGjRpFidzOnTurtGzDwsKIqakp5RTr6elJa8WYy40bN4isrCwBQKytrX9q9fPp06dESUmJACAtW7Yk0dHRfG2OHDlCrYz279+f5OTk1Ph6DMKpF0K3bt060rBhQ7J7924iJydHtmzZQmbMmEE0NTXJgQMHRDrXlStXSKtWrUhhYSEhpHqhExQGc/jwYaKtrS30mA0bNgh0K6hO6PLz88mnT58o1xE5OTly9uxZWvNFT548oR4ac3NzoR7+NaE+CV3Fe5Camkq6dOlCWWZXrlyp8n34+PiQBg0aEADEyMiIhIaGEkIIretxOByyZ88eamg8dOhQkpeX99P3VlgUDJvNJqtWraK+O9OnTyclJSU/fT0GwdQLoTMxMaEmlpWUlEh4eDghhJADBw4Qe3t72ueJiYkh2traJCgoiNpXG0JXU4uO+5BHRESQvn37EgCExWKRrVu3Vit0hJQ/NA0bNiQAiLKyMunUqROZOHEiWb9+PTl37hx58+YNSUxMFHkurz4KXXh4OGnatCllmb169arK93Dnzh0iLy9PAJB27dqRhIQE6rXqrpWQkEAWLVpEic78+fOrHBqLSkxMDGnVqhUByuOa7927R+zt7anrbd68udbmXxnKqRdCp6CgQJn1urq6xN/fnxBSHpunoqJC+zx37tyhVti4G1dMJCUlBX55azJ0rUx1c3SCHvL4+HgyZcoU6ss+e/ZskpiYWO1QKTo6mlhYWFTpsKqoqEgsLCzIqFGjyM2bN6t9aOub0D169IhoaWnxWWbCOHjwIGWJDRo0iM8ptqprRUVFkUGDBlH3bteuXbUiOpmZmaR37948n5OUlBRxdXUV+7UY+KkXDsONGjVCYmIiAKBJkyZ49uwZgPKU1qLUtbS1tcWnT58QGBhIbe3bt8fEiRMRGBgosJBM586dqdqhXNzd3dG5c2dR34ZISElJYceOHVi7di2A8pKPs2bNEpr7jYuhoSECAgLw8eNH3Lx5Ezt27MA///yD3r17w8jICBISEsjPz8enT59w69YtjB49Gqampti/f7/IufJ+Nfn5+diwYQOGDh2K1NRUtGvXDj4+PmjRooXA9oQQLF++HIsWLQIhBLNmzcK9e/doO8WmpaVh1KhRePToEWRkZHD16lUsX75c5PqxdFBTU8Pjx48xefJkAOXxxo8fPxa5ngVDPUJUZVy1ahXZtm0bIYSQq1evEikpKWJqakpkZGTIqlWrfkp1Kw9dJ0+eTFavXk397e3tTaSkpMju3bvJly9fyIYNG8TmXkLXmjl69CiRkZEhAMju3bt/6v0WFxeTb9++kUePHpE1a9ZQq4cAyNWrVwUeUx8suuDgYB5LddSoUdWGK506dYpqv23bNqGWmKDrvXv3jhgbG9MeGosLDodD3NzcSGRk5C+5HkM59WLoWpm3b9+SPXv2kPv37/90ZyoLXc+ePcmUKVN42ly/fp2YmZkRGRkZYm5uXmOHYTo3UdjDb2VlRQCQixcvinTtqnj8+DGVY87U1JRERkYKvHZd8/nzZ2JkZEQAEC0tLfLo0aNqj8nOzqb8zjZt2lSlsFbm7du31KKFsbExlfKJ4c+lXgrd78bPCl1OTg7lRxUYGCiWPl25coWyEjt16kSio6NpC8GvxNPTk6ipqRGgPBcedyGqKjgcDpkzZw4l4JmZmbSF7vbt21RAf/v27UlSUlJtvTWGekS9ELq0tDTq/zExMWTdunVk+fLlxMvLS2ydqk1+VuiCgoIIUJ7x92f9qDgcDnFxcaGGdMOHDydpaWkiWTy/isuXL1Ni3KVLF5KamlrtMcXFxWTSpEnU+7t161a1Q2UuBw4coBYtBg8eLBb3EYbfgzoVuuDgYGJkZEQkJCRIs2bNyMePH4mOjg5RUlIiKioqRFJSkty5c0dsHastflboLl26RLlF/IzwlJaWUunAAZAFCxaQ3Nxc2kLwq6gsxqNGjaIVR5qZmUll55WSkiJHjhyhNSfIZrPJkiVLqOvNmTOHlJaW/oJ3ylBfqA2ho50iYeXKlbCwsMClS5dw4cIFDB48GHZ2dlSmiYULF8LFxQXDhw8XaTGkrggPD69RLdCQkBAAQKtWrWp87fz8fIwfPx4PHz4Ei8XCvn37MGvWrCqPiYmJwapVq5CQkFDj61ZESkoKRkZGMDU1pQrpNGnSBA0bNqRSGJWVlWHRokU4evQoAGDJkiXYvXt3tSX3YmNjMXDgQHz+/BlKSkq4desWunXrVm2fCgsL4eDggFu3bgEAXFxcsHLlylpZWWX4y6CriJqampRzb25uLmGxWOTDhw/U61++fCGqqqpiU+Dagvtroa6uTry9vatsK8jiGDp0KAFAduzYUSMLKykpibRv356Ktrh165bQa3G3N2/eEB0dnSr98cS1ycnJkZYtW5IhQ4aQ7t27U76N+/fvp/X+KkYX6OnpUdEF1VlyHz9+5Il5/VsKwTDwU6cWXUZGBnR1dQGUp+FWVFTkyQmmrq6O3Nxc0ZW2jsjMzIStrS0uXryIUaNG0T7uZyy6r1+/YuDAgYiKioKmpiYePHhQrQ/g06dPMXnyZOTn58Pc3Bzbt28XS66ywsJCREZG4sePH9QWHR2NoqIihIaGIjQ0FEB5uvFLly5VW1+D29fRo0cjLy8PrVq1wqNHj2BgYFDlMZ6enjh48CCePn0KoNyH7e7du+jZs+dPv0cGBgq6ishisUhKSgr1t5KSEomIiKD+TkpKIhISEmJT4NqC+2sxYMAAylrZu3evwLaVrQ5uxS8AJCoqSmSLrm3btgQA0dHR4UvtI8jKOXz4ME+CgIqhUrVBSUkJCQ8PJ0+ePCGHDx8m69evr3Zlmc1mkwcPHvBEEvTu3ZsvmYGg9+fm5kYdw2KxyKBBgxj3EYa6XYzgfhFHjBhBRowYQaSkpEi/fv2ovwcNGvRbCV1GRgaZN28e9aA5OjpWGX5VMXRJlJjeisyfP5+63vbt24U6zXI4HPLvv/9SbadMmVIrKZ9+lqioKNK6dWuqn5KSksTBwYHExsbyOf0KErrjx48TAKRFixYkODj4ly+20FkcqWuXnr+ROg0BmzJlCrS1taGqqgpVVVVMmjQJenp61N/a2tpwcHAQi5X5K5CUlMShQ4ewc+dOAMCBAwcwduxYFBYW8rTjcDhYtmwZFbo0Z84cnD9/vkbXPHjwIJYvXw4AWLNmDebOnYuysjKeNiUlJVRqegBYv349zp49W23dil9NQEAAOnXqhKCgIKiqqmLBggXw8/PDrl27RO6rgYEBmjRpUks9FYyfnx/mz5+PwMDAX3pdhjpCbJL5myDo16Kiw27nzp0pH7HCwkIyevRoymJxdnYWSxD5f//9JzCwvaJLhqSkJDl9+vRPX6s2ePToEVFUVCQAiKWlJfn48WO1wf9VWXT9+vX7pdbTrVu3KEdkRUVFcvv2bcaiq0fUC4fh3x1hN/HVq1eU17+pqSnx9fUlXbt2JUB5JfVLly6JtR93796lUhVZWVkRPz8/Ym5uToDy9EBPnjwR6/XExYkTJ6h5w759+5Ls7GxaqZzqi9BVTPHODS2TlJQkhw4dYoSunsAInRio6iaGhoZScZzcTVVVlXh4eNRKX3x8fKgUR9ytYsLH+kTlecOpU6dSySd/B6ErKyvjSfE+d+5ckpaWRiZMmEDtW7FiBcnLy2OEro5hhE4MVHcTExMTSbt27QgAYmhoSEJCQmq1PxWTVpqbmwtM4V3XVA7l2rBhA88Qvr4LXeXiOzt27CAcDofk5/MXLB83bhxfPC7Dr6VO/ej+FnR1deHl5YX79++jT58+0NLSqtXrNWnSBL6+vnjy5Ans7OygoqJSq9cTlaysLIwcORIeHh6QlJTEiRMnMH369LruFm3S0tIwdOhQvHv3DjIyMnB1dYW9vT31OovFwtq1a2FgYICFCxfi2rVrSExMxJUrV6CmplZ3HWcQKyIn3vwbUFRUhL29fa2LHBd1dXXY29vXO5EDgMmTJ8PDwwOKiopwc3MTq8h9+/ZNbOcSxpgxY/Du3Tuoqqri2bNnPCJXkSlTpuDWrVtQVFSEl5cXZsyYUet9Y/h1MBZdFRQUFFTbRkFB4Rf0pO7gWjUlJSVISUkR2EZbW1ukc3I4HDg5OWHv3r0AgAEDBtTafeT2v6ioCGlpaTyvVb5mdnY2lTVaU1Pzj/9s/yrENgj+TaAz/k9JSSG7du0inz59+uudSYuKisj48eOpOawtW7b8lItNYWEhGTduHHW+rVu31mqxmfz8fDJs2DCeKJjK1+NwOGTLli1Un8aPH0+rkDVD7cAsRoiB6m7it2/fiImJCRX47+7u/lcLHSH85f5mzpxZo3J/6enppEePHlTqpvPnz9dCb/kpKyvjiUpZtGgRFQVTUlJCZs6cSb22atUqwmazf0m/GATDCJ0YqOomVqz6zvUVk5WVJefPn/+rhY7L4cOHqQLOAwYMECnxaGRkJGnevDkBQFRUVMjz589rsaf8cDgcsnv3bkrQRowYQZKTk6mYZwkJCXL48OFf2icGwTBCJwaE3cTKVd8jIyPJkCFDqAdj27ZtjI8VIeT+/ftUKvk2bdqQ+Ph4ge3KyspIVFQUefHiBTl69CiVZqpRo0YkODj4F/f6f1y7do2KguFuCgoKYql5wiAeGKETA5VvYlVV33NycniyAM+ZM4fk5OT81UJHCCF+fn5UsRsDAwNy+fJlsm/fPrJgwQIycOBAqnhRRTHB/4eLxcXF1XX3iZeXF1FXVycAiLa2NvHz86vrLjFUgBE6MVDxJpaVlVVZ9Z3rUOrs7Ey1GTx4MElNTf2rhY6Q8oLlzZo14xOzipu0tDQxMzMjAwcOJE5OTmL94v4sMTExpLS0tF4ILwMvtSF0LEIIEcfq7e9CdnY21NTUEBsbi6CgIAwePBgAsGXLFixcuJAnbXdF95IHDx5gwYIFKCkpwa5duzBp0iQAf757SVVkZGRgxYoV+P79O4yNjdG4cWOYmJigcePGaNy4MfT19QUWImdgqIqcnBwYGBggKysLqqqqYjnnXyd0cXFx1Wa9ZWBgqHtiY2PRqFEjsZzrrxM6DoeDhIQEKCsr17uiK9xfstjY2HoZJSFOmPf6ZyKO90oIQW5uLvT09KotxESXvy4yQkJCQmy/ErWFiorKH/9AcGHe65/Jz75XcQ1ZuTCxrgwMDH88jNAxMDD88TBCV4+QlZXFhg0bICsrW9ddqXWY9/pnUl/f61+3GMHAwPD3wVh0DAwMfzyM0DEwMPzxMELHwMDwx8MIHQMDwx8PI3T1AGdnZ1hbW0NZWRna2toYPnz4L6mnUBccPXoUlpaWlENp586d8fjx47ruVq3j4uICFouFxYsX13VXxM7GjRvBYrF4tubNm9d1t3hghK4e8OrVK8yfPx8+Pj5wd3dHaWkp+vXrh/z8/Lrumthp1KgRXFxc4O/vjw8fPqB3794YNmwYPn/+XNddqzXev3+P48ePw9LSsq67UmuYm5sjMTGR2t68eVPXXeLhrwsBq488efKE529XV1doa2vD398fPXr0qKNe1Q5Dhgzh+Xvbtm04evQofHx8YG5uXke9qj3y8vIwceJEnDx5Elu3bq3r7tQaUlJS0NXVretuCIWx6Ooh2dnZAAANDY067kntwmazcfXqVeTn56Nz58513Z1aYf78+bCzs0OfPn3quiu1SlhYGPT09GBiYoKJEyciJiamrrvEA2PR1TM4HA4WL16Mrl27olWrVnXdnVrh06dP6Ny5M4qKiqCkpIQ7d+6gZcuWdd0tsXP16lUEBATg/fv3dd2VWqVjx45wdXVFs2bNkJiYiE2bNqF79+4ICQmBsrJyXXcPACN09Y758+cjJCSk3s1xiJNmzZohMDAQ2dnZuHnzJqZMmYJXr179UWIXGxsLR0dHuLu7Q05Orq67U6sMHDiQ+r+lpSU6duwIIyMjXL9+vd4UAmdCwOoRCxYswL179+Dl5YXGjRvXdXd+GX369EGTJk1w/Pjxuu6K2Lh79y5GjBjBk2GZzWaDxWJBQkICxcXFf3T2ZWtra/Tp0wfOzs513RUAjEVXLyCEYOHChbhz5w48PT3/KpEDyofrxcXFdd0NsWJra4tPnz7x7Js2bRqaN2+OVatW/dEil5eXhx8/fmDy5Ml13RUKRujqAfPnz8fly5dx7949KCsrIykpCUB58kF5efk67p14cXJywsCBA2FoaIjc3FxcvnwZnp6eePr0aV13TawoKyvzzbEqKipCU1Pzj5t7Xb58OYYMGQIjIyMkJCRgw4YNkJSUhL29fV13jYIRunrA0aNHAQC9evXi2X/27FlMnTr113eoFklJSYGDgwMSExOhqqoKS0tLPH36FH379q3rrjHUkLi4ONjb2yM9PR1aWlro1q0bfHx8oKWlVdddo2Dm6BgYGP54GD86BgaGPx5G6BgYGP54GKFjYGD442GEjoGB4Y+HEToGBoY/HkboGBgY/ngYoWNgYPjjYYSOgYHhj4cRur8ET09PsFgsZGVl1XVX/miMjY2xf//+uu6GSHh5eWHIkCHQ09MDi8XC3bt3a/2a8fHxmDRpEjQ1NSEvLw8LCwt8+PCh1q7HCN1vQGpqKubOnQtDQ0PIyspCV1cX/fv3h7e39y/rg7iF0tXVFWpqamI5l7GxMVWrQEFBARYWFjh16pRYzv03kJ+fj9atW+Pw4cO/5HqZmZno2rUrpKWl8fjxY4SGhmLPnj1QV1evtWsysa6/AaNGjUJJSQnOnTsHExMTJCcn48WLF0hPT6/rrvFRUlICGRmZX37dzZs3Y9asWSgoKMCNGzcwa9Ys6Ovr8+RKYxDMwIEDq7xPxcXF+Pfff3HlyhVkZWWhVatW2LFjB19sNl127NgBAwMDnD17ltpX6xl7CEO9JjMzkwAgnp6eQttERkYSAOTjx498x3l4eBBCCPHw8CAAyMOHD4mFhQWRlZUlHTt2JJ8+faKOiYqKIoMHDyZqampEQUGBtGzZkri5uVHnr7hNmTKFEEJIz549yfz584mjoyPR1NQkvXr1IoQQsmfPHtKqVSuioKBAGjVqRObOnUtyc3N5+lJx27BhAyGEkKKiIrJs2TKip6dHFBQUSIcOHaj3IAwjIyOyb98+nn0aGhpkyZIl1N/R0dFk6NChRFFRkSgrK5MxY8aQpKQk6vUpU6aQYcOG8ZzD0dGR9OzZk/o7JyeHTJgwgSgoKBBdXV2yd+9e0rNnT+Lo6MjTl23btpFp06YRJSUlYmBgQI4fP873Wd26dYv06tWLyMvLE0tLS/L27Vuea79+/Zp069aNyMnJkUaNGpGFCxeSvLw86vXDhw8TU1NTIisrS7S1tcmoUaOo127cuEFatWpF5OTkiIaGBrG1teU5tioAkDt37vDsmzlzJunSpQvx8vIi4eHhZNeuXURWVpZ8//6d1jkr06JFC7J48WIyevRooqWlRdq0aUNOnDhRo3PRhRG6ek5paSlRUlIiixcvJkVFRQLbiCJ0LVq0IM+ePSPBwcFk8ODBxNjYmJSUlBBCCLGzsyN9+/YlwcHB5MePH+TBgwfk1atXpKysjNy6dYsAIN++fSOJiYkkKyuLEFIudEpKSmTFihXk69ev5OvXr4QQQvbt20devnxJIiMjyYsXL0izZs3I3LlzCSGEFBcXk/379xMVFRWSmJhIEhMTKRGsyUNVUejYbDa5efMmYbFYZNWqVdS+Nm3akG7dupEPHz4QHx8fYmVlxSNidIRu5syZxMjIiDx//px8+vSJjBgxgigrK/MJnYaGBjl8+DAJCwsjzs7OREJCgrov3M+qefPm5OHDh+Tbt29k9OjRxMjIiJSWlhJCCAkPDyeKiopk37595Pv378Tb25u0bduWTJ06lRBCyPv374mkpCS5fPkyiYqKIgEBAeTAgQOEEEISEhKIlJQU2bt3L4mMjCTBwcHk8OHD1P2tjspCFx0dTSQlJUl8fDxPO1tbW+Lk5ETrnJWRlZUlsrKyxMnJiQQEBJDjx48TOTk54urqWqPz0YERut+AmzdvEnV1dSInJ0e6dOlCnJycSFBQEPW6KEJ39epVqk16ejqRl5cn165dI4QQYmFhQTZu3CiwD9zjMzMzefb37NmTtG3bttr3cOPGDaKpqUn9ffbsWaKqqsrTpqYPlZGREZGRkSGKiopESkqKACAaGhokLCyMEELIs2fPiKSkJImJiaGO+fz5MwFA/Pz8CCHVC11OTg6RlpYmN27coF7PysoiCgoKfEI3adIk6m8Oh0O0tbXJ0aNHCSH/+6xOnTrF15cvX74QQgiZMWMG+eeff3j68vr1ayIhIUEKCwvJrVu3iIqKCsnJyeG7F/7+/gQAiYqKEnq/qqKy0D18+JAAIIqKijyblJQUGTt2LCGEkC9fvvBZ6JU37o8OIYRIS0uTzp0781x34cKFpFOnTjXqMx2YObrfgFGjRsHOzg6vX7+Gj48PHj9+jJ07d+LUqVMi56urWG1LQ0MDzZo1w5cvXwAAixYtwty5c/Hs2TP06dMHo0aNolWL1MrKim/f8+fP4ezsjK9fvyInJwdlZWUoKipCQUEBFBQUBJ7n06dPYLPZMDMz49lfXFwMTU3NKvuwYsUKTJ06FYmJiVixYgXmzZsHU1NTAMCXL19gYGAAAwMDqn3Lli2hpqaGL1++wNrautr3GBERgdLSUnTo0IHap6qqimbNmvG1rXjPWCwWdHV1kZKSIrRNw4YNAZTn6mvevDmCgoIQHByMS5cuUW0IIeBwOIiMjETfvn1hZGQEExMTDBgwAAMGDMCIESOgoKCA1q1bw9bWFhYWFujfvz/69euH0aNH13iiPy8vD5KSkvD39+fLiqykpAQAMDExob5Dwqj4+TVs2JCvPkiLFi1w69atGvWRDozQ/SbIycmhb9++6Nu3L9atW4eZM2diw4YNmDp1KiQkyhfPSYXUgqWlpSJfY+bMmejfvz/c3Nzw7NkzODs7Y8+ePVi4cGGVxykqKvL8HRUVhcGDB2Pu3LnYtm0bNDQ08ObNG8yYMQMlJSVChY7OQyWMBg0awNTUFKamprhx4wYsLCzQvn172gV3JCQkeO4fULN7CADS0tI8f7NYLHA4HKFtWCwWAFBt8vLyMHv2bCxatIjv3IaGhpCRkUFAQAA8PT3x7NkzrF+/Hhs3bsT79++hpqYGd3d3vH37Fs+ePcN///2Hf//9F76+vjWa8G/bti3YbDZSUlLQvXt3gW1kZGTQvHlz2ufs2rUrvn37xrPv+/fvMDIyErl/dGHcS35TWrZsifz8fACgMrkmJiZSrwcGBgo8zsfHh/p/ZmYmvn//jhYtWlD7DAwMMGfOHNy+fRvLli3DyZMnAYBaSWWz2dX2zd/fHxwOB3v27EGnTp1gZmaGhIQEnjYyMjJ856r4UHFFi7uJUhzZwMAA48aNg5OTE4ByayE2NhaxsbFUm9DQUGRlZVFCqKWlxXP/AN57aGJiAmlpaZ7ShdnZ2fj+/TvtftGlXbt2CA0N5bsHpqam1OcgJSWFPn36YOfOnQgODkZUVBRevnwJoFw4u3btik2bNuHjx4+QkZHBnTt3hF4vLy8PgYGB1PuNjIxEYGAgYmJiYGZmhokTJ8LBwQG3b99GZGQk/Pz84OzsDDc3txq9vyVLlsDHxwfbt29HeHg4Ll++jBMnTmD+/Pk1Oh8tam1QzCAW0tLSiI2NDblw4QIJCgoiERER5Pr160RHR4dMnz6datepUyfSvXt3EhoaSjw9PUmHDh0EztGZm5tTk+lDhw4lhoaGpLi4mBBSPif15MkTEhERQfz9/UnHjh2peZi4uDjCYrGIq6srSUlJoSa3K686EkJIYGAgAUD2799Pfvz4Qc6fP0/09fV55vi8vb0JAPL8+XOSmppK8vPzCSGETJw4kRgbG5Nbt26RiIgI4uvrS7Zv304ePnwo9B4JWnX9/PkzYbFY5P3794TD4ZA2bdqQ7t27E39/f+Lr68u3GPHkyRPCYrHIuXPnyPfv38n69euJiooK32JE48aNycuXL0lISAgZNWoUUVZWJosXL66yL61bt6ZWlenMpwYFBRF5eXkyf/588vHjR/L9+3dy9+5dMn/+fEIIIQ8ePCAHDhwgHz9+JFFRUeTIkSNEQkKChISEEB8fH7Jt2zby/v17Eh0dTa5fv05kZGTIo0ePhN4/QavgqLCyXlJSQtavX0+MjY2JtLQ0adiwIRkxYgQJDg4Wes7qePDgAWnVqhWRlZUlzZs3Z1ZdxQ2bzSaxsbEkKyuLZGdn1/stJSWFLFmyhLRu3ZqoqKgQeXl5YmpqSlasWEGSkpKodn5+fsTa2prIyckRCwsLcufOHcqdJDs7m5pUvnbtGmnevDmRlpYmVlZWxNvbmzrHP//8Qxo3bkxkZGSIpqYmGTduHImMjKReX7NmDdHW1iYAiL29PcnOziZdu3Ylc+bM4ev39u3biY6ODpGTkyO2trbk+PHjBACJjo6m2kyfPp2oq6sTAGT16tUkOzubpKWlkVWrVhFDQ0MiJSVFdHR0yODBg8nbt2+F3iMDAwPi7OzMt9/W1pb06dOHZGdnk5CQEDJw4ECioKBAlJSUyPDhw0lYWBhP+1WrVhEtLS2ioqJC5s2bR/755x/StWtX6vW4uDgyZswYIi8vT7S1tcn27duJlZUVWbJkSZV9adWqFfX+goODCQDy+vVr6vXo6Giezyo7O5u8fPmS2NjYEEVFRaKgoEDMzc3JunXrSHZ2Nnny5Anp2rUrUVNTI3JycsTc3JycPXuW+h7Y2toSTU1NIiMjQ5o0aUJ27txZ599jUbasrCwSGxtL2Gy22J77v65mRFxcHM+kNAMDQ/0kNjYWjRo1Esu5/rrFCGVlZQDlN1FFRaWOe8PAUPfQsXW4Cya/gpycHBgYGFDPqjj464SO+4GpqKgwQsfAgPondLVxTWbVlYGB4Y+HEToGBoY/HkboGBgY/ngYoWNgYPjjYYSOgYHhj+evW3VlYOBC14X0V684/upV0LpYUf3VMBYdAwPDHw8jdAwMDH88dS50NakG5OnpiXbt2kFWVhampqZwdXX9NZ1lYGD4LalToatJNaDIyEjY2dnBxsYGgYGBWLx4MWbOnImnT5/+wp4zMDD8TtRpUP/q1avh7e2N169f0z5m1apVcHNzQ0hICLVv/PjxyMrKwpMnT6o9PicnB6qqqsjOzmZCwP5ymMWI+kltPKN1atHdv38f7du3x5gxY6CtrY22bdtSiR6F8e7dO/Tp04dnX//+/fHu3TuB7YuLi5GTk8OzMTAw/F3UqdBFRETg6NGjaNq0KZ4+fYq5c+di0aJFOHfunNBjkpKSoKOjw7NPR0cHOTk5KCws5Gvv7OwMVVVVamNSNDEw/H3UqR8dh8NB+/btsX37dgDlqbRDQkJw7NgxTJkyRSzXcHJywtKlS6m/uSlgGH4t4hwmimtoJ87hX0lJSbVtfnVh77KyMlrtKtfnEASde0UnzT6da9UGYrPo8vPz4eXlJdIxwqoBxcTECD1GV1cXycnJPPuSk5OhoqICeXl5vvaysrJUSiYmNRMDw9+J2IQuPDwcNjY2Ih1Tk2pAnTt3xosXL3j2ubu785TxY2BgYKhInc7R0akG5OTkBAcHB+rvOXPmICIiAitXrsTXr19x5MgRXL9+HUuWLKmLt8DAwPAbQHuOTkNDo8rX6YzPK2NtbY07d+7AyckJmzdvRuPGjbF//35MnDiRapOYmMgzlG3cuDHc3NywZMkSHDhwAI0aNcKpU6fQv39/ka/PwMDwd0Dbj05RURFz586FhYWFwNejo6OxadOmGgner4Txo6sb6uNihDgR52KEuN7f77oYURvPKG2Lrk2bNjAwMBC6GhoUFIRNmzaJpVMMDAwM4oT2HJ2dnR2ysrKEvq6hocEzl8bAwMBQX/jr6royQ1fxU1paWm0bKSl6gwc6QyQOhyOW89Ad2onrEZGQoGdX0Hl/dPokTr+9X13u8I8KAWNgYGD4FTBCx8DA8MfDCB0DA8MfDyN0DAwMfzwiCR2bzYaXl1eVq68MDAwM9Q2RhE5SUhL9+vVDZmZmbfWHgYGBQeyIPHRt1aoVIiIiaqMvDAwMDLWCyPnotm7diuXLl2PLli2wsrKCoqIiz+uMb1rd86tDpOiE9dANDaTTdzpt6PRJUKJWQdDxa6PjJygrK0vrenT6TifkjI5/I0DP347OPafzGdP1pxQ3Il910KBBAIChQ4fyPCyEELBYrHof68rAwPD3IbLQeXh41EY/GBgYGGoNkYWuZ8+etdEPBgYGhlqjRn50r1+/xqRJk9ClSxfEx8cDAC5cuIA3b96ItXMMDAwM4kBkobt16xb69+8PeXl5BAQEoLi4GACQnZ1NFblhYGBgqE/UaNX12LFjcHBwwNWrV6n9Xbt2xdatW8XaOQaGX01JSQni4+OpLTExEcbGxrCxsYGysnJdd4+hhogsdN++fUOPHj349quqqjIREwy/DTk5OThz5gwiIiIQGxtLCVtKSopAVwoZGRl0794d/fv3R6dOndCiRYs6c5VgEB2RPyldXV2Eh4fD2NiYZ/+bN29gYmIirn4xMNQqhw8fxrp16wS+JisrC319fTRq1Aja2trw9/dHZGQkXrx4QVWgk5eXh6WlJdq3b4927dqhV69e0NbW/pVvgUEERBa6WbNmwdHREWfOnAGLxUJCQgLevXuH5cuXC/3iMPxaxFV3QZznoutfyZ3zrQo6Dq7VOQNXdKbduXMnGjVqBH19fRgYGEBTU5PnfWdnZyM8PBzPnj3D69evERQUhNzcXPj6+sLX1xdAuThu3LgR48aNE3rPqiswJQp0nI/pfsbiSmRany1ckXu2evVqcDgc2NraoqCgAD169ICsrCyWL1+OhQsX1kYfGRjETpMmTQAAVlZWmDNnTpVtWSwWmjZtiqZNm2L+/PngcDiIiIhAYGAgPn78CB8fH3z79g1OTk549+4dtm3bBiUlpV/xNhhoIvKqK4vFwr///ouMjAyEhITAx8cHqamp2LJli8gX37hxI1gsFs/WvHlzoe1dXV352svJyYl8XQYGU1NTAMCPHz9ETpUuISEBU1NTjB49Gtu2bYO7uztWrVoFSUlJ3L9/H0OGDMHnz59ro9sMNURkoZs+fTpyc3MhIyODli1bokOHDlBSUkJ+fj6mT58ucgfMzc2RmJhIbdX54qmoqPC0j46OFvmaDAzc+eSsrCykp6f/1LkkJCQwZ84cXLt2DXp6eoiKisLIkSNx/vx5sdWbYPg5RBa6c+fOCZz/KCwsxPnz50XugJSUFHR1damtQYMGVbZnsVg87XV0dKpsX1xcjJycHJ6NgUFeXh4GBgYAgPDwcLGc08rKCm5ubujTpw9KSkqwYcMGzJs3j/nO1QNoC11OTg6ys7NBCEFubi6PcGRmZuLRo0c1WnUKCwuDnp4eTExMMHHiRMTExFTZPi8vD0ZGRjAwMMCwYcOqHSI4OztDVVWV2rhfbgYG7vBVXEIHAGpqajhx4gTWr18PaWlpPHnyBHZ2dvj48aPYrsEgOrQXI9TU1Kh5MTMzM77XWSyWyAWsO3bsCFdXVzRr1gyJiYnYtGkTunfvjpCQEIHOmc2aNcOZM2dgaWmJ7Oxs7N69G126dMHnz5/RqFEjgddwcnLC0qVLqb9zcnIYsfuDycnJgZubGwIDA9GoUSMYGRlBQ0MDSkpKPJu0tDSMjIwAiFfogPJnYdq0abCyssLChQsRExODsWPHwsnJCW3atKnyWElJSbRv355xThYztOu6vnr1CoQQ9O7dG7du3eJZKpeRkYGRkRH09PR+qjNZWVkwMjLC3r17MWPGjGrbl5aWokWLFrC3t6e9GMLUdS1HnO4ldFxHqquh6uvri7lz50JDQwMtWrRAixYt0LJlSzRv3hzq6uo8bbnuJYQQREREwMfHh9o+f/5M673JyspSriwjR46Eq6ur0LZ0hp7Ccr/l5OTAyckJjx49qvYcXLS0tLB27VpMnjxZaG46urnt6CAtLV1tGzrfA3HlOKyNZ1TkAtbR0dEwNDSstYK21tbW6NOnD5ydnWm1HzNmDKSkpHDlyhVa7RmhK0ecPlZ0kkBWlUyyqKgIVlZWQi0rXV1dNGvWDM2bN4eZmRliYmIQFBSEoKAggWn9GzVqhA4dOiAvLw9xcXHIzc1Ffn4+8vLy+Pqqrq6OpUuXolu3bkL7V9U8cFZWFm7duoW0tDT079+fshIrQgjBgwcP4ObmVm0yzNTUVGRkZAAoz+a9detWdOnSha8dneePrlVI51x0fBfpfFfotMnJyYGmpqZYn1GR/eiMjIzw+vVrHD9+HBEREbhx4wb09fVx4cIFNG7cuMovTHXk5eXhx48fmDx5Mq32bDYbnz59opKBMvye7NixA+Hh4WjYsCFWrlyJ79+/49u3b/j27Rvi4+ORlJSEpKQkvHr1iu9YaWlptGzZEq1bt0abNm1gaWmJBg0aCH1ASktLkZ+fj/z8fERHR6Nhw4aQkBA9iU9CQgLOnTuHmzdvUotz586dQ9u2bTFixAj06NGDspRYLBaGDh2KMWPGVHve0tJSPH/+HLt370ZISAiGDx8OOzs7bNiwgS8aiYE+Ilt0t27dwuTJkzFx4kRcuHABoaGhMDExwaFDh/Do0SORTPTly5djyJAhMDIyQkJCAjZs2IDAwECEhoZCS0sLDg4O0NfXp6y7zZs3o1OnTjA1NUVWVhZ27dqFu3fvwt/fHy1btqR1TcaiK6e+WHRfvnyBtbU1SktLcfXqVb4fypycHISFheHr16/49u0bwsLCICMjg9atW6N169Zo0aKFQGuDzmdL1zWpokX3/ft3nD59Go8ePaKG7M2bN4empibevXtH3S8NDQ0MHjwYw4YNg66uLgD6w01DQ0Okp6djx44dOH/+PDgcDmRkZDBnzhwsXrwYSkpKjEUnIiILXdu2bbFkyRI4ODhAWVkZQUFBMDExwcePHzFw4EAkJSXRPtf48ePh5eWF9PR0aGlpoVu3bti2bRvltd6rVy8YGxtT8ydLlizB7du3kZSUBHV1dVhZWWHr1q1o27Yt7WsyQldOfRA6boTN27dvYWdnRw0Bq4NOm6o+29TUVJw+fRpPnz6FpqYmjIyMYGxsjMaNG8PY2JhPILS1tfHhwwecPn0aXl5e1P6OHTti5syZ6NKlC7KyspCUlIT79+/j4cOHlG8ei8VC586dKSuPTj0IQ0ND6v9fvnzBunXrqOtqaWnh33//hb29fbWWKCN0/0NkoVNQUEBoaCj1heAKXUREBFq2bImioiKxdKy2YISunPogdKdOncL8+fOhqKiIwMBAGBoaIjU1tdpz1VToYmNjceLECdy4caPKPmtoaMDY2BjGxsbQ1dXFmzdvEBwcDKDcObhv376YMWMGWrVqRR1Tca6wrKwMr1+/xp07d+Dv70/t19PTw8qVK6ud3qkodED5Z/X06VNs2LABkZGRAMrnsl1dXat06WKE7n8w2UsY6oTExESsWbMGALBp0ya+h7syZWVlePXqFe7du4eysjK0b98e1tbWaNiwYbXXCgsLw7Fjx3D//n1quNmuXTvY2dmhuLgYUVFRiI6ORlRUFJKTk5GRkYGMjAwEBARQ55CRkcGIESMwdepUgQsOFZGSkoKNjQ1sbGwQHR2Ne/fu4dGjR0hISMDixYsxZswYODo60g5fZLFYGDBgAHr37o1Tp05hz549eP/+PQYNGoSrV69S/oAMwhHZonN2dsbFixdx5swZ9O3bF48ePUJ0dDSWLFmCdevW1fvAfsaiK6euLbqJEyfi5s2bsLKywuvXr6nXK1t0P378wLVr13Dr1i0kJyfzndfAwIASPWtra2hpaQEot+iCgoJw9OhRPHv2jGrfvXt3zJs3Dx06dBDonF5QUECJXlRUFOLi4tC6dWvY29tXGbVTXVH3oqIinDp1ivIOaNy4MbZu3YpmzZrxta1O9CMiIjB+/HhERUVBXV0d58+fR6dOnfjaMRbd/xBZ6Agh2L59O5ydnVFQUAAAVPaSmgT2/2oYoSunroQuLi4Omzdvxrlz5yApKYm3b9/yONFWFLrjx4/zfKc0NTUxcuRIsNls+Pn5ITQ0lK9/rVu3Rr9+/RAVFYUbN25Q+/v374+5c+fC0tKS2leTxQhhVCd0QPlz4uPjgw0bNiA9PR0yMjI4f/48n0VWndAB5cP3yZMnw9/fH7KysnB3d0eLFi142jBC9z9EFjouJSUlCA8PR15eHlq2bPnbpKX53YWOzheFjrtEbm4urevR+YLTKZQcEhKC06dP48KFC5Sj7sKFCzF79myB7S9evAgXFxcA5VbYqFGj0LNnT0hLS1OWWEFBAUJCQhAcHIzg4GC+TCQsFgs2NjYYO3Ysj3iUlZXhzp078PLygoGBAdq1a4c2bdoI/T6kpKRU+/4qztcJIy8vD0B5frvNmzfj06dPsLW1xapVq3jaCbLyKsNisVBYWIjp06fD29sbtra2OHv2LE+byo7WVZ2rOsRZoLs66oXD8O8OI3Tl/CqhI4TA1dUV69evp1Ltt2vXDsuWLUPr1q0FHnP9+nVs3rwZAPDPP/9g0aJFPK8Li4dOS0uDt7c3Xr9+jfz8fMybNw8WFhY8bUJCQnD48GE+a05CQgJNmzZFu3btYGVlBRMTE+o+ilvogPKSBAsXLoSUlBQuXLgATU1N6jW6QgeUD2NtbW3BZrNx8+ZNdOjQgWrDCN3/EFnoioqK8N9//8HDwwMpKSl8D17FCdz6CCN05fwKoUtKSsL8+fOpObLGjRtj6dKl6NWrl9CH686dO1Sm6qlTp2LZsmV8batL/CCI7OxsnD17luqLiooKxowZg4yMDPj7+/OdU1VVlRI9Q0PDahcORBU6oNxd6vPnz7C3t8e0adOo/aIIHVCeDPfy5cuwsrLC7du3qdcYofsfIq+6zpgxA8+ePcPo0aPRoUOHWgsFY/i9uXv3LhwdHZGRkQFZWVksXLgQkyZNqvKBcXNzw/r16wGUL1YIEjlR4XA4eP78Oc6cOUPFrA4YMADTpk2jHswpU6YgNTUVAQEBCAgIQFBQELKzs+Hh4QEPDw9KFMX9fR8xYgQ+f/4MNzc3TJgwocZCsXjxYty+fRv+/v5wd3dHv379xNbHPwWRLTpVVVU8evQIXbt2ra0+1SqMRVdObVl0WVlZWL58Oa5duwagfHHg5MmTUFBQ4DmGzWYjKioKnz9/xufPnxEaGoqgoCBwOByMGTMG69evFyoqdC26qKgoHD58mErlZWxsjAULFlBRNMIWUUpLS/HlyxcEBATg7du31NDVzMwMEyZMEJi8oiYWHZvNxtSpU5GcnIzFixdToYyiWnQA4OLigiNHjsDMzAxPnz6FpKQkY9FVQGSha9myJa5evcqzevU7wQhdObUhdB4eHpg7dy7i4+MhISGBZcuWYfXq1ZCWloanpydCQ0MpYfvy5YvABK6jR4/G+vXrBb6HlJQUrF+/HpGRkVBVVYWKigrPv9z/q6io4O3bt7h9+zbYbDbk5OQwadIkDB06lOeBpbNaXFpaikuXLlEB+RISEujTpw8GDx7MM5ytTuji4uIQEBCAnj178rja3Lx5EydOnICRkRFOnDgBFotVI6HLzs5Gt27dkJ2djT179mDMmDGM0FVAZKF7/PgxDh48iGPHjlXrOFkfYYSuHHEKXXZ2NjZs2IBjx44BKC88c+LECXTo0AERERGYM2cO3r17x3ecvLw8mjdvDnNzc7Rs2RKtWrUS6nSekpKCadOmiZw6v3Pnzpg9e7bACAI6Qse9dlpaGq5fv47AwEAA5fkZx44dCysrK7BYLKFCl5+fD1dXV1y7dg1lZWWYNGkSHBwceF6fMGECCgsLsX37drRv375GQgcAx44dw/bt26Gvrw8PDw9aztTCzlWZ313oRJ6ja9++PYqKimBiYgIFBQW+XFbcFDMMfwfJyckYMGAAvnz5AgCYOXMmtm7dCkVFRXh6emL8+PHIz8+naoy0bNkS5ubmMDc3R+PGjWnFfiYnJ2P69OmIjo6Gnp4eZs+eTaXIz87OpjJdc/+fnZ0NRUVFODg4CHSkrQkNGjTAvHnzEBwcjKtXryItLQ0nTpyAtbW1wNyJqampuHfvHu7cucPjY3f79m2MGjUKioqKAABFRUX0798fd+/exY0bN2BlZVXjPk6dOhVnz55FfHw8zp07h9WrV9f4XH8aIgudvb094uPjsX37dujo6DCLETT41R48XEfuqqBTPxWo2jpMSUnB0KFD8eXLF2hpacHFxQXdu3dHTk4OfHx8MHHiROTn58Pa2hobN26Evr4+z/GEEL6EnJUjI9LS0rB8+XLEx8dDR0cHO3bsQEhICIBykVBUVBQ4Z8a1Zr5//y60/3QSTlZuZ2lpiebNm+Pp06d4/Pgx3r9/j4YNG0JdXR2EEHz79g1Pnz6Fr68vFW6mq6sLBwcHXLx4EQkJCfD19UX37t2pcw4ePBgPHz7Ex48f4e7uTqv+q6DRlJycHFavXg1HR0fs27cPo0aNEpp5uyJ0rKbf/TkXWejevn2Ld+/eCfWBYqj/nD59GkeOHIGzs3ON8wdGR0dj2LBhCA8PR4MGDXDp0iUq/jkuLg6zZs1Cfn4+OnXqhFOnTlWbYVgQFUVOV1cXu3btgq6uLiV0dYWMjAyGDBkCDQ0NnDt3Dg8ePICkpCQ+fvyIqKgoql2zZs3Qv39/dOzYEVJSUvj+/TuVVqyi0DVs2BD29va4cOECjh07Bltb22qLRAlj3LhxuHz5Mnx9fbFq1SpcvHjxtxcpcSByxsHmzZtXWwWdof7i6+uLJUuW4OvXr5gyZQq+ffsm8jlCQ0PRp08fhIeHw9DQEJcvX6ZELjMzEzNmzEBqaiqaNWuGw4cP05rnq0xqaiqWLVtGidzu3buhq6uLwsLCGolmbdC1a1f07NkThBDcuXMHUVFRkJaWho2NDVxcXLB582Z07dqVmt/iDksDAgL4rPzRo0ejSZMmyMvLw9atW2nNxQpCQkICe/bsgbS0NNzd3XH37t2feo9/CiILnYuLC5YtWwZPT0+kp6czpQR/I7KzszFt2jSw2WzIy8sjJycHEyZMoJUaiYufnx/69++PxMRENG/eHM+fP6dErrCwELNnz0ZkZCT09PRw8uTJGhV5SU1NxfLly5GQkECJnI6ODj5+/Ijx48fj4MGDuH37NoKDg5Gfny/y+cXJ2LFjYWlpCT09PUyYMAFHjx7FnDlz0LhxY762rVq1gqysLNLT03ksP6B8sn/p0qWQlpaGt7c3Ll++XOM+mZmZYcmSJQCANWvW0Epr9acj8qord86msjlMCAGLxaJVKKUuqYtVV3HO0dE5l6CcgIQQTJs2DTdu3ICRkRFu3ryJMWPGICoqCu3bt8ft27chLy/Pd1zFfS9evIC9vT0KCgrQoUMH3Lx5ExoaGkhISEBZWRkWLFiAly9fQlVVFVeuXOEJVqczbwiUW4uCRO7t27fYunWrwCgMPT09mJqawtTUFA0aNACLxaK14liTOTphqKqqVttGSUkJGzZswIcPHzBt2jSMHj2ar82jR49w+PBhSEpK4tSpU0JXc6vzeCgpKUG/fv0QGhqKYcOG4eTJk0LbimuOriaWuyDqhXuJoLz9FenZs+dPdai2+VuF7tKlS/jnn38gKSkJd3d3WFhY4MePHxgwYACysrIwbNgwnDhxgm/xgSt0t27dwsyZM1FaWoo+ffrg0qVL1MphfHw81q1bh+vXr0NWVhZnz55F+/btec5DR+iSk5Mxbdo0SuT27NkDbW1tPH/+HLt27QKHw0HXrl3RpEkTREREIDw8nC+jtaqqKkxNTdG2bVtoampCTU1NoIADdSN09+/fx/Hjx2FhYUElLagIIQT79+/H8+fP0bBhQ1y8eFHg95SOa1dQUBAGDBgANpuNM2fOYPDgwQLbMUL3B/I3Ct2PHz/QpUsX5OXlYf369Vi1ahUlPN7e3hgzZgxKS0vh6OiItWvX8hwrLy+PkydPYunSpSCEYNSoUTh58iTPl3rNmjU4ePAgJCQkcPDgQYEhSNUJXVxcHObOnYvY2Fg0bNgQu3fvhra2Nu7du4dDhw4BAPr27Ytly5bBw8ODOi43Nxc/fvxAeHg4oqOjBc7fycnJQU1NDWpqalBXV4e6ujrU1NSgpaUFLS0tqKqqVrm6LE6hS0hIwKxZsyApKYmrV6/yRYwA5Vm8J02ahPj4eNjY2GDHjh18QkPXh3Xbtm04cOAAtLS08Pr1a4EruozQVUFBQQFiYmL4nC7re8TE3yh0tra28PHxQbdu3fDo0SNISkryCM+1a9ewYMECAOXxl127dkWHDh3QqFEj7N+/HwcPHgQAzJo1C7t376Z83zgcDo4cOUL5a23cuBETJkwQ2CdBQpeamgp/f3/4+/vj8ePHyMvL4xG5q1ev4vTp0wCA4cOHY+7cuZCQkMDz588FXqOkpATR0dEIDw9HWloasrKyaFmS0tLS0NLSgpKSEhQUFKCgoABFRUXq33bt2lX7XaErdEC5r2FiYiLWrl2Lzp0787XT1tZGaGgoZsyYgbKyMqxduxbDhg3jaUNX6IqKitCnTx98//4d9vb2OHDgAF+bv0HoRHYvSU1NxbRp0/D48WOBr9f3Obq6gI440S25R+dcFb+UZWVleP/+PYDyX3fuCmBFT/eJEyciOjoau3btwp07d3Dnzh2qT9zVv5kzZ2LWrFmUX9rHjx+xb98+ylF4xowZGD58uFBhuXz5MnJychAbG0ttlZNV6unpYdy4cVSlrZcvXwIAevToAUtLS7x9+xZA1RENRkZGMDIyoorTlJaWoqCggCpxyN0KCgqQlZWFoqIilJaWIiEhQeg57969i+HDh1NDdUHQKbnJ7XfLli2RmJiI8PBwgQ7CMjIyaNOmDcaPH4+LFy8iICCAr1QiHVGRkpKCgoICWrduje/fvyMkJESgBUnHYq1JScj6hMhCt3jxYmRlZcHX1xe9evXCnTt3kJycjK1bt2LPnj0inWvjxo3YtGkTz75mzZrh69evQo+5ceMG1q1bh6ioKDRt2hQ7duxg6rpWgZSUFDp16gRvb298+PAB1tbWAts5OTmhZ8+eePXqFXx9ffHhwwcUFBRAX18fS5YsoeZeY2NjqTRdQLnT7pw5czBp0iShfbh+/TqOHz+O7Oxsvte0tbVhYGAAQ0NDmJiYQElJCa9fv6ZErnfv3jw+Z6IiLS1NxcFWJjIyEhwOB8XFxZTglZWV8WzZ2dkoKCjAs2fPMGTIEFqhUNXBteyqc9PiRhkJWsGly+XLl3Hjxg1ISEhgx44dNT7P747In9rLly9x7949tG/fHhISEjAyMkLfvn2hoqICZ2dn2NnZiXQ+c3NznqFIVV+kt2/fwt7eHs7Ozhg8eDAuX76M4cOHIyAggFb2iL+VIUOGwNvbGw8ePMDcuXMFtmGxWOjatSuVlaasrAwxMTEoLi6GtLQ0cnJycPr0aVy/fh1lZWWQkJDA8OHD8c8//1B1SyvDZrOxZ88eylWCxWJBR0cHBgYGMDAwQKNGjfjyvL1580ZsIleZsrIy5ObmUltycjKUlZWrXLAoKirCp0+fkJaWBk9PT9ja2v60Ay7XqqpO6LjWMt2axZX5+vUrFi9eDKD8h6xHjx41Os+fgMhCl5+fTwVIq6urIzU1FWZmZrCwsKhR0k0pKSmhD0plDhw4gAEDBmDFihUAgC1btsDd3R2HDh2iAsoZ+Bk8eDBWr16N169fIzMzk1ZWCykpKZiYmODr16+4evUqTp06RVlknTt3xqJFi6qsPlVUVIQ1a9bwDD/btm0rMPCbEIKSkhJ8/PiRql9qY2MjUORiY2MRHx8PFovF4+okISFBCZCEhATS09ORl5eHnJwc6t+qhEVFRYVaqKhYIFpOTg59+/aFm5sbIiMjERAQ8FPxqMD/VrKrmj/Mz8+nfO0q14KgQ0FBARwcHFBQUICePXti5cqVNerrn4LIQtesWTN8+/YNxsbGaN26NY4fPw5jY2McO3aMdraEioSFhUFPTw9ycnLo3LkznJ2dhRYHeffuHZYuXcqzjxsQLYzi4mKeuM6/0anZxMQE5ubm+Pz5M548eQJ7e/tqjyGE4PHjx3BycqLyv5mYmMDR0RFdunSp8tiMjAwsXrwYwcHBkJaWxrRp0/Du3Ts8fvwYxcXFKCkpQUlJCc//K2JjYyPQ+khISMCZM2dEeOf8yMjIQFlZGcrKyigqKkJ2djYKCwsph/fo6GhIS0tDTU0NGhoaUFNTg66uLrp3745Xr14hICCAcmGpKVyhq0p4v337BkIIdHR0eNKsV0dpaSnc3Nxw6NAhhIaGQltbG2fOnKGVPOFPRmShc3R0RGJiIgBgw4YNGDBgAC5dugQZGRm4urqKdK6OHTvC1dUVzZo1Q2JiIjZt2oTu3bsjJCREoEd9UlISX0UmHR0dPl+qijg7O/PNA/6NDB48GJ8/f8aDBw+qFbrc3FwsX74c169fB1Be0Hn27Nl8+dwEERMTg/nz5yM2NhYqKioYPnw4Tp8+TWuRSkpKCr169RKa1JVr7ampqUFFRQWEkCo3JSUlqKioUP8qKytTFiWbzcbXr19hamqK4uJiZGZmIjMzE1lZWSgtLUVqaioVMZKTk4OuXbsiMzMTwcHB8PLygoqKSpXFo6uCztA1NDQUAP1ha3x8PFxdXXH+/HmqLKSsrCxOnz5Nq4rZn47IQldx0tnKygrR0dH4+vUrDA0NRQ5EHjhwIPV/S0tLdOzYEUZGRrh+/brA1Dc1wcnJiccKzMnJgYGBgVjO/TsxePBg7NixA+7u7igqKhI6zxQYGIgZM2YgIiICkpKSmDRpEqZOnUqryltwcDAcHR2RmZkJPT09dO7cGefPnwdQPhIwNDSEjIwMtcnKyvL8n7tKKIikpCQqLnfYsGHVZvjgrrpWpKCgAGFhYYiLi0NiYiLKysogIyMDbW1t6OjooGHDhuBwOMjNzUVmZiYyMjKQn5+PL1++QFFREdbW1sjKykJMTAyePXuG4cOH16j6HZ2hK1foqhq2cjgcvHr1CqdPn8bjx4+pHxNtbW04ODhg5syZtLKX/A2IJHSlpaVo3rw5Hj58SH0ACgoKaNeunVg6o6amBjMzM4SHhwt8XVdXl6+IcXJycpVzfLKysmJLCPg7065dO+jo6CA5ORkeHh7o3bs3X5vz589j+fLlKC0tRaNGjXDq1CnawyYvLy+sXLkSRUVFaNGiBfT19XHr1i0AwOzZs6GiolKjSXyuvyY3cWerVq1opTECyoffGRkZQt1ZgHKXj7i4OMTFxUFZWRlNmjShVmmNjY0pN5APHz5AXV0dNjY2ePDgATIyMvDs2TNaVm5l6Axdq7Ponjx5gn///Rc/fvyg9nXt2hUzZ86EnZ0dZGRkxLJC/Kcg0p2QlpYWGF4kLvLy8vDjxw9MnjxZ4OudO3fGixcvqJUkAHB3dxfodFmfoOODRDdbBZ3MHZWzB3/48AHOzs7Uj0RISAhfiFZCQgIlcgMGDMDOnTuhqqoKf3//aq/n6emJI0eOoKysDC1atIC6ujqeP38OCQkJjBkzBmZmZoiLi6v2PIQQ+Pn5UdZUZmYmX50FdXV1qgaEMLj58ITBFVwHBwfExsYiJCQEKSkpyM3NRWFhIc9ig5mZGeTk5BASEoLAwEA0adIEAwcOxO3bt5Geno7AwEB07NiRWiGtCm5qM64AcTgcgf5wpaWl1EJE69at+dqkpKRg+vTpKCgogLKyMuzt7TFjxgw+64/uvBwd30xR/TfrGyJL/vz587Fjxw6cOnXqp38xli9fjiFDhsDIyAgJCQnYsGEDJCUlqTkkBwcH6Ovrw9nZGUD5/GDPnj2xZ88e2NnZ4erVq/jw4QNOnDjxU/34UwkNDYWLiwuePn0KoHwifsqUKTypvLkcPXoUpaWl6NSpE44dO0b7S5ucnIwzZ85QIte0aVPcv38fQLkjcps2bao8nuvG8uPHD0RFRfEJG1Dud6aurg59fX0oKysLFfvCwkKEh4dTc8gV4b6fiu9LSkoKqqqq1DWVlZUF5lm0tLRESEgI0tPTwWazoaysjB49euDp06cICgqCmZmZ0AU0QURGRgKA0GO4CxHa2toCp4P27duHgoICWFtb4969e79N8fi6RGSlev/+PV68eIFnz57BwsKCz1v89u3btM8VFxcHe3t7pKenQ0tLC926dYOPjw+0tLQAlE9sV7SGunTpgsuXL2Pt2rVYs2YNmjZtirt37zI+dJWIiorCzp07cfv2bRBCICEhgXHjxmH58uXUnE1Fyzw5OZmq2uXo6ChQ5NhsNlJSUhAfH4+EhATEx8cjMTERkZGRyM/Ph76+PqytrXHhwgUAgJ2dnVCRKygoQGRkJH78+MEXn8pisaCqqgp1dXVoaGhAXV292iiA0tJSREREICYmhsfyECRuFUlJScHTp09RUlICdXV1DBgwQOAcobKyMuTk5FBUVIS0tDTo6OjA2NgYRkZGiI6OxuvXr2FpaUn7x4E7NSNs5bYq/7nc3Fzcu3cPALBjxw5G5GgistCpqalh1KhRYrn41atXq3zd09OTb9+YMWP4wmEYyiGEYN26ddi3bx8lHkOGDMGqVavQtGlToccdP34cxcXFaN++PTUNUFJSgjNnzuDFixdISEhAUlKSUEtKU1MTgwYNwrlz50AIQYcOHWBjY8PTr4yMDPz48QMRERF84VbKysowMTGBiYkJCgoKaA+5OBwOYmJiEBERQfVNXV0dzZo1g5+fX5XHct1nysrKoK2tjX79+gmdy2WxWNDW1kZMTAxSU1OpEgJdu3ZFXFwcEhISEBQUVK31yoU7r9akSROBr1c1P5eQkABCCDQ1NfmmHxiEI7LQnT17tjb6wSAG1q5di927dwMo90VzcnKqNuV9WloaLl26BABYtGgRZZXs378fhw8f5mkrIyODhg0bQk9PD/r6+tS/WVlZOHz4MEpKStC0aVOMHj2ax7p5+PAh34+WtrY2TExM0KRJE2hpaVHt6WQ8JoQgKSkJYWFhlGWqpKSEpk2bQk1NDVFRUeBwOGCxWAKtLK77SVlZGfT19WFra1ttvKeWlhZiYmKoGq9AuZNxu3bt8P79e7i5ucHQ0LDahZLS0lKqkpmwH5+qVly5rlSV628wVA2zLPOHsHfvXkrkdu/eLXRBpzInT55EUVERWrduTTnpxsXF4dSpUwCAUaNGoWXLltDX10eDBg34FlYKCwtx4MAB5OTkQEdHB1OmTOGzyIKDgwEAjRo1gpmZGUxMTETKPMzhcCgH44KCAvz48YNy/JaVlYWpqSn09PSQnp6Od+/eUeLHHcYKG1JKSkqiZ8+etILauT5zFYUOANq0aYMfP34gIyMDJ0+exKxZs6oUu6ioKJSVlUFFRYWaoqlIaWkpNbQVZNExQlczaiR0N2/exPXr1wWmaapJGBjDz3Hu3Dk4OTkBKM9QQlfkMjIyKD+3inNzO3fuRHFxMTp16oQJEyYItYo+f/6Mq1evIiEhAUpKSpg5cyZfzGhRUREVnD5kyBC+2NaK7b58+YLo6GgqmkVY5ARQLlKNGzeGkZER2Gw2QkJCqEUI7nwat58Ar9hx9zVt2lRojGtluEKXlZWF4uJiapgrKSkJOzs7PH78GGlpaTh58iRmzpwp1C2HK2JNmjQReF+5QqimpiYw0ogRupohcu6VgwcPYtq0aVQO/w4dOkBTUxMRERE8DsAMv4YHDx5gzpw5AIClS5di+fLltI89ffo0CgoKYG5uTvnVBQYG4t69e2CxWFi7di3fw8jhcODm5oYFCxZg/fr1CA0NhZSUFKZPny7QkuG6tCgqKgoVuaioKJw/fx6enp6IjIxEQkICFavKFTkWiwVZWVmoqKjA0NAQ3bt3h4mJCdLT0+Ht7U2JnKGhIbp06cInbFxxq7hYIcoilry8PGWFVq6xoaioiFmzZkFLSwvZ2dk4efKk0PrG1S1EcOfvWrRoIVAIGaGrGSJbdEeOHMGJEydgb28PV1dXrFy5EiYmJli/fj1TvLoOcHJyAofDwZQpU7B9+3aRjuW6ncyYMYN6qB49egQA6NOnDywsLPj86KKjo6lkmHJycujevTvatGkj1Gk7Pj4eAIRGzaSkpOD+/ftgs9lUBmCukzc3YoL7f24fKy6KhISEUH9zh8YVA/wrC1xFoaOTLJNLbGwsFTOdnZ3NF3GgrKyM8ePH47///kNOTg58fX35fviDgoKouUpB83P5+fl48OABAMEizGazERQUBAB/ZXTPzyCy0MXExFBB3fLy8pRz6uTJk9GpUycq7TXD/6gqUSQXuiuNFc9FCKEcS1evXk0VjqFbC8HU1BRhYWFISUmhrC3u4sW3b98gIyPDJ1BqampUgoCGDRti2bJlVVYR4wqdhoYGX0KF0tJSPHz4EGw2G40aNYKtrS3OnTtXbb8r+p+pqKggKysLHA6HCu1SUVFBt27d4O3tDTabDUVFRRgaGlJuG1paWhg+fDhMTEyqvRYhBK9fv8aTJ09ACIGBgQFsbGz43KrU1NSo7L1qamqwt7fn6ef79+/h4uJCTQmMHTuW53PKysrCypUrERUVBW1tbSxcuJBvDu/69euIjIyEmpoaBgwYUK0jOl0/VzoO7fXZGZgOIg9ddXV1KcvN0NCQ8kCPjIz85RXp/3YyMjIocatJgDnXBaRiDYaBAwdCSUkJMTExAqMLpKSksGXLFmhoaCAyMhIuLi5CP3dCCJVEVdB809u3b5GdnQ0FBQX07NmzRg7oSkpK0NPTg5qaGiQkJMBms5GZmQkvLy+w2WwYGBhAQUGBErm2bdtiwoQJfCm6ORwOcnJykJCQgK9fv+LDhw/w8PCAq6srHj9+DEIIrK2tMXv2bD6Ri42NxYoVK5CcnIyGDRti165dPCLn7u6OLVu2oLi4GDY2Njhy5AiPyKWlpWHatGn4/Pkz1NXVcf36dejp6fFco6SkhEqcuWjRIqipqYl8r/5mRP5m9e7dG/fv30fbtm0xbdo0LFmyBDdv3sSHDx8wcuTI2ugjgxC4818aGho1ytffq1cvAOUhYjk5OVBRUYGCggKGDRuGS5cu4dq1a5g3bx7fcQ0aNMCWLVvg6OgIT09PaGtrY8iQIXztUlJSkJWVBSkpKT7rJCwsDOHh4WCxWLCxsUFeXh6Vu05UJCQkqCwl+fn5yMvLg6WlJQoKChAeHo7S0lLIyclhwIABaNKkCTgcDr58+YKIiAhkZ2cjNzcX+fn5QgVbUlISQ4cORceOHfksm8DAQNy4cQNlZWVo2rQpNmzYQIkQIQQ3btygFnyGDRuGTZs28YhccnIyZsyYgcjISGhpaQktcXjx4kVER0dDW1tbbAkv/iZEFroTJ05QcZnz58+HpqYm3r59i6FDh2L27Nli7yCDcLgT03QTl1bGyMgITZo0wY8fP/DmzRsqJf348eNx6dIl3L9/H1OnThUYLWBhYQFHR0fs2bMHt27dQvfu3fmsDK4V1aRJEx5rLSsri6r/0LZtW6oMYHUZd6tDQkICysrKUFBQQEFBAXV9AwMDDBw4EHJycggICIC/v7/AvIQsFgtKSkpQUlKictYpKyvD0tKSb/Kfw+Hg6dOn1JybtbU1Vq5cSa3istlsnDx5Eg8fPgQAjB49Ghs3buQRyvj4eMyYMYOqfHb69GmBRW8KCwupMgVLly6tsnYFg2BEFjoJCQmeMf348eMxfvx4sXaKgR5ci+5n8o316tULP378wMuXLymhs7a2RuPGjREZGYlXr14JXU0fNmwYHj9+jNDQUHh7e/Ol0ecOW5s1a0btKysrg4eHB8rKytCwYUO0bNkSjx49QmFhIdTV1QVmGBGFwsJCZGRkUFmIu3TpAktLSwQFBeHjx4+UmCooKKBLly5o1KgRJWiKiooC56sE+Q5evXqVen82NjZYvHgxNc9aWlqKPXv24M2bN2CxWJg1axaGDh3KI3LR0dGYPn06kpKSYGBggDNnzvANV7mcPn0aycnJMDAwoO06xMBLjUr7ZGZmYvfu3ZgxYwZmzJiBPXv2MCuudcDPWnTA/+bpPD09eXzOxo0bB6A8dZOgQHsuXBF8/fo139CPG+XQvHlzat/79++RkZEBOTk59OzZE2/evKH+7tu3L60+Cyqyw+FwkJ6ejtTUVLDZbKioqGDw4MEoKirCqVOn8PbtWxQWFkJVVRW2traYOXMmbG1t0axZM+jp6UFZWZnWpHxqaioOHz6Mr1+/QlpaGvb29hgwYAAlcvn5+Vi/fj3evHkDKSkprFixAkOHDuU5R3h4OBwcHJCUlAQTExOcO3dOqMjl5uZSixwrV65kUo7VEJGFzsvLC40bN8bBgweprKwHDx5E48aNqQywDL8GcVh0Xbp0gYyMDGJjY3lym02dOhWNGjVCfHw8tm/fLjSNFDd8Kj4+HhEREdT+tLQ0pKWlQVJSknKliIqKosKbevTogS9fviAqKgoSEhLo06cP7WiJ7OxsahEGKE8SkJCQgPz8fADl1pq+vj7c3Nzg7++P0tJSaGlpwc7ODtOnT0ebNm1or0xzIYQgNDQU//33H1JTU6Gqqoq5c+fyxLempaVh9erV+PTpE+Tl5bFp0ya+lPBfvnzBlClTkJaWBjMzM7i6ulb5+R05cgSZmZkwNTVlYrx/ghqlaRo7diyOHj1K/Yqx2WzMmzcP8+fPx6dPn8TeSQbBpKWlAQDtRJSCUFRURNu2beHr6ws/Pz/KkVVdXR0HDx7EyJEj8ebNGwQGBgpMsKqkpIQ2bdrg/fv3+PjxIxWozq3/amxsTLmucH3yLCwsoK6ujmfPngEoTxgpqljn5+dDVVUVWVlZlIuTlJQUNDU1kZGRwTM/16FDBxgZGdXIRYLD4SAkJAReXl6IjY2l3tOkSZMoYS4rK8Pt27dx5coVFBYWQk1NDZs2beIL2i8tLcWiRYuQlZUFc3NznDhxosrV0ytXrlDWnJOTE5NI8ycQ+c6Fh4fj5s2bPH5fkpKSWLp0KbW6xMALHR+5ihZKVVR8WLkuGzExMSI/xNwQqbKyMmqIqaenR+3ncDg4evQogHLRU1VVFeovx02qKS8vT4kvN+dagwYNqH0V+y0nJ0eFalUcMgoLdC8qKqLSn8vKymLQoEF4+/YtJXKdO3emXFTOnj2L+Ph4nvhdQfe3ukn96OhonD9/nnrfMjIyGD9+PJYsWQJpaWlkZGTg1q1buHbtGjWN0Lp1axw6dEjgosK9e/eQkJAATU1NXL58WWgVemlpafz777+UT+rIkSMxduxYnvtEZ5VdlCww4jpXfUVkoWvXrh2+fPnCM8EMlJvk1WXKYBAvlpaWAP4XNF8T3r9/j6ysLGhoaPCk/bl79y7c3d0hLS2NVatWCX0oY2JikJiYCElJSao/AKhFhYrWprq6OrKyspCZmQkDAwOYm5vD398fwcHBQmM/gfKMwSkpKSCEQEZGBnZ2dnBzc0Nubi5kZGQwdOhQnnlAPT09ylG5JhBC8ObNG9y+fRtsNhuqqqqwt7eHvb09NDU18enTJ1y5cgWPHz+mBFRLSwurV6/GqFGjhM71cTP/TJo0Sej9zMnJwaxZs6hax05OTlizZg2t+UMG4YgsdIsWLYKjoyPCw8PRqVMnAICPjw8OHz4MFxcXnoeu4hefQfxwf1hCQkLAZrNr9KvLHT7a2tryDI24CTRHjx5dZS47b29vAOWxmRUD5LmLUxVryKqrqyMyMhJZWVnUMcHBwcjMzERcXBxfWBMhBGlpaVR7RUVFyMvL4969e2Cz2dDU1MSYMWP4ojf09fXx/v37KqvDCaO4uBjXrl3Dhw8fAJTf42PHjkFGRgZPnjzBlStXEBISQrVv1aoV7O3tMWbMGKGxvADg6+uLgIAAyMjIYOLEiQLbpKamYty4cYiMjIS8vDxOnDjB+KaKCZGFjpvmXFBBXHt7e7BYLBBCwGKxaJW4Y6g5pqamlM9YWFgYj1VDB0IIJXT9+/en9n/9+hUBAQGQkpKCra2t0OPZbDbevHkDoNwfriKCLDrufBT3NVlZWTRr1gwhISEIDg7mETo2m43ExETKHURdXR0cDocaBjdr1gxDhw4VuArJXcHkrsDS/QHgpoVPTEyEhIQEhg4ditatW+PUqVO4ffs21W9paWkMHDgQ9vb2sLCwAAA+kYuLi4OPjw/8/Pzg6+tLDeUHDx4sMD0TUJ4wIzIyEo0aNcK1a9doJ/JkqB6RhY77gTHUPZKSkrCwsICvry+Cg4NFFrrQ0FDExcVBXl4e3bt3p/ZfuXIFANC3b18ei6wyly9fRlJSEmRlZWFubk7t53A4QoeuQLnDMPfHsFWrVggNDUVSUhKV6624uBgJCQkoKysDi8WClpYWVbgGAHr27Ilu3boJHeqqq6tT83+pqam03G8+fvyIy5cvo7i4GCoqKpg6dSri4+OxdetW6gdbV1cX48aNw6hRo3jeFyEEERER8PX1pbbKQ2cWiwUrKyssW7ZM4PUTExOpOrqnTp1iRE7MiCx0giZZGeoOS0tL+Pr6IigoCGPHjhXpWG72kh49elAWSWFhIVX3Y8KECUKP9fb2xt27dwEA48aN47GscnJywGazqdAsLioqKpCQkEBZWRny8vIoJ90mTZogLCwMwcHBKC4uRnJyMgghkJaWhqamJtLS0lBWVgYJCQno6OjwiLIgWCwWdHV1ERUVVW05TDabjXv37lERDk2aNMGECRPg5uZG5VZs3749Jk+ezBOPW1paioCAALx48QIeHh58BXm4c5YdO3ZEx44d0b59+yrrOxw7dgwlJSXo2LFjte+PQXSY9erfHO48HTd9jygIGra6ubkhJycHjRo1Qrdu3QQmUo2KiqJWBIcPHy502KqmpsYzbJSQkICqqirlf8l1z7CwsEBYWBiVYhwo94VTUlLiET0NDQ2kp6dj79690NTURIMGDahNW1ubxw9PR0cHUVFRSEpKErpIlpWVBVdXV8r/z9bWFtbW1jhx4gSSk5MhISGBYcOGYfPmzWCxWCgpKcHz58/x8uVLeHp68oSRycrKok2bNpSwtWvXjm9VV9hUTnJyMlU/ZdGiRQLbMPwc9UboXFxc4OTkBEdHR+zfv19gG1dXV0ybNo1nn6ysbK3Wmq3vcB/igIAApKamCp3/qcyPHz/w5csXSEpK8hSz5uZDq+zOUJHTp0+jpKQEMjIyMDc3p4ahXCpGLlTMxguACvPy8/NDSUkJTExMoK6uDkNDQ8TExAAoF0gOh0MNZeXl5SEvL0+tvJaUlKCgoIDya6t4bgMDAxgaGlILGJVTn3NJTEzEuXPnkJOTAzk5OUyaNAlycnLYt28fiouLoaqqimnTpsHExAQsFgvx8fFYsGABwsLCeK7Xq1cv2Nraol+/flUuRggjLCwMy5cvR0lJCU9xIgbxUi+E7v379zh+/DitVVoVFRWeAiq/Q54sceaj43r/c2natCnMzMzw/ft3TJ8+HVevXhUYhF8ZriNq165dwWazqUl+rhXy7ds3qrRfZdq0aYPQ0FCUlJRg27ZtMDc3x+7du6l5qyZNmuDGjRvIyMjA9evXsXfvXuoeEEIQFxeH7OxsvHr1CoGBgejevTtGjhyJ58+fw8DAAH5+fpRQderUCYmJiZS1Z2lpiUGDBiE1NRWJiYlISkqi/uVaihVX/jt27EjlTwTKRfjKlSt49eoV1dcDBw4gLCwMK1euRGlpKaysrLB7924qHfq3b98wa9YsZGRkQFNTEyNGjED//v1hbW1NfW4lJSXV+kJWXGwpKSnBzp074ezsjNLSUqioqGD//v18CT2FIc6C0r+7jxwdWKSOk8jl5eWhXbt2OHLkCLZu3Yo2bdpUadEtXryYeghqQk5ODlRVVZGdnS3Ul0nc0MnKQffLxnWQrcjXr1/Rr18/FBQUYNWqVVi7dm2V54iLi4OFhQXKyspw9uxZnh+YkJAQTJkyBVJSUnj48KHQeaXo6GjcuXMHbm5uKCwshLGxMf777z8qL15wcDAcHR1RUFCAtm3bYsSIEZRlV1BQAB8fH3h7e1NxtPLy8mjSpAk+f/4MQgjU1NRgYWEBHx8fKs3SqFGj0KFDB4GWU2FhIX78+EGlf5KUlMTw4cOpSX02mw13d3fcuHEDBQUFAIARI0Zg2bJlVL44DocDW1tbuLi4UH29d+8eNm/ejNLSUlhYWOD06dMCc+vR+THjCt2HDx/wzz//UG4qgwYNwqFDh2iLHF1EDXOrL9TGM1rnQjdlyhRoaGhg37596NWrV7VCN3PmTOjr64PD4aBdu3bYvn07z4pfZbhFVrjk5OTAwMDgjxI6oDz77Lx588BisXDv3j2euqqVWblyJY4ePQorKyucOHGC7/Xp06cjKCgIM2fOxNSpU6vsT0xMDBYvXoyUlBTo6+vj0KFDlHvHp0+f4OjoiPz8fKqWg5GREdTV1cFisagJfS8vL57oiTZt2iA3N5eKvTUzM8OECRMoi5FOYHvFz/bbt284e/YsZRU2btwY06ZNw7Bhw3DmzBnKuh05ciTWrVtHfRYXLlzArl27AJQX5N67d69Qa5mO0GlqamLz5s3Yv38/OBwOGjRogH379mHs2LG1MjJhhO5/0BI67heTDqJkMbl69Sq2bduG9+/fQ05Orlqhe/fuHcLCwmBpaYns7Gzs3r0bXl5e+Pz5s9Bfw40bN2LTpk18+383oUtKSsKMGTNgZGSENWvWCKx3sHjxYly8eBFaWlr4/PmzwApXMTExaNu2LUpKSnDkyBF07NiRr427uztWr14NdXV13Lx5s1phSU1NxYIFCxAfHw9tbW0cPnyYyrD7+fNnLFq0iCcDipKSEoyMjGBoaAhDQ0Po6ekhPDwcwcHBUFNTg4+PD4qLiyEtLY1hw4ahW7duPPOFdIUuKysLly9fxuvXrwGUD8vHjRtH+QY+ffqUClucMWMGT13biiI3b948rFq1qsrohOqELjAwECtXrqTEe/z48di7d6/QWhrigBG6/0FL6Crm8U9PT8fWrVvRv39/auL03bt3ePr0KdatW4clS5bQunBsbCzat28Pd3d3auhUndBVprS0FC1atIC9vT22bNkisM2fYtFNmDABt27dAlC+orhz506+/G+FhYVo27Yt0tLS8OLFC3To0IHvPHPnzsXFixfRvn17HDt2TOAPWFlZGYYOHYrk5GQMGDAAZmZmUFZW5ktIqaSkBHl5ecjIyFBiFxUVBQ0NDfz3339UgoDIyEj8999/iImJQUJCAt/qo4SEBBo2bAgZGRnKT5MbOC8oRXx1Qsdms+Hr64vr16+jsLCQymI8btw4qKioICkpCadPn6aGjsuXL4eDgwN1fEWRmz17Nv79999qf+irEjoPDw8sWLAARUVFlNVb+bOrDRih+x8iD11HjRoFGxsbLFiwgGf/oUOH8Pz5c8q3qjru3r2LESNG8DzgbDYbLBYLEhISKC4upjWcGzNmDKSkpCgn1+r4HefoHj58iFGjRkFSUhKGhoY8XvYuLi48fmKjR4+Gp6cn/vvvP75h59evX9GxY0dwOBy4urpSXv2COH/+PDWkq67f1tbW2Lx5MzgcDhYtWoTv379DRUUFBw8epKrNc/3USktLER8fj+joaMTExCA6OppnOM6tk9q7d2+hFhRX6LiREomJiUhISEBiYiK1cRcGTExMMG3aNJiamqKsrAwPHjzAnTt3UFpaCllZWaxbt44nX1xlkZs3bx6t7DDChO727dtYvXo12Gw2BgwYgAsXLohUfexnYITuf4i86vr06VOqSEdFBgwYgNWrV9M+j62tLV9Kp2nTpqF58+ZYtWoVLZFjs9n49OkTlRn3TyQ3NxeOjo4AyoemS5Yswd69e3Hw4EE8fPgQXl5e2LRpEyZNmgQWi4VmzZrB09OTyn5bka1bt4LD4WDw4MFVihxQPrRis9mIi4tDbm4ucnNzkZeXR/0/NzcXbDYbbDYbPj4+mDdvHg4ePIgjR45g8eLFCAkJwbx587Bv3z4eL39paWkYGxvD2NgYQPnqYVZWFmJiYpCeno527drxTfYTQpCTk4P4+HjExcUhJSWFWmkVttKprKyMcePGwcbGBhISEvj69StOnTpFRSxYWFjAxcWFZyW0osj9888/1JxnTTl58iRcXFwAlPsbXrp06bcVn98dkS06IyMjLFq0iC+UZc+ePTh48CCP06eoVB66Ojg4QF9fH87OzgCAzZs3o1OnTjA1NUVWVhZ27dqFu3fvwt/fHy1btqR1jd/Nolu7di127doFY2NjfPz4kRr2hYSEYPHixQgMDARQvqLXs2dP+Pv748uXL7C1teWxrkNDQ6niLr6+vrQXP4T1nRCCwsJCREVFwcnJCenp6WjevDlcXV1RUFCA5cuXIyAgAHJycjh+/Hi1AfaEEGRmZiI3Nxfp6elU4k7uVnH6oSLS0tLQ1dVFw4YN0bBhQ+jp6aFhw4YwMTGh3qOvry/1nVJRUYGDgwO6dOnCU4TGw8OD+kH5559/MH/+fErkqgqD41LZort58yZWrVoFoHz+b/Xq1b88quh3FdV6YdFt2rQJM2fOhKenJzWR7evriydPnuDkyZNi6RSXmJgYnuFLZmYmZs2ahaSkJKirq8PKygpv376lLXIVqVi9XRh0fs3p/E7QSZgozGv+xYsXAID169dDTk6OmtQ3NzfH48ePKashNjYWFy9epI7T0dGhMhAD5XOrXJKTk2lnlhG2yguUC4Cenh5at26Nly9fIjc3lxpWOzo6Yvfu3fj06RNWrVqFgwcPUiuWhBAkJycjPDwc4eHhlEtIZR/BikhISMDAwACmpqZo1aoVTE1N0aRJE+jr6wsUbe5QGQDl5GtkZIR58+ZBUVERGRkZPN8tbpTI6NGjsXDhQp7Pns7iR+UoiCdPngAoT1TLnT+mszIL0Pu+0OkTXRvmd/BF/VlEFrqpU6eiRYsWOHjwIBUT2aJFC7x580bgCp4oVPxyCvp737592Ldv309d43eCzWZTmXIr5orjIiUlhblz58LBwQHv3r3Dq1ev4OXlBXl5eT6L28zMjMrjtnPnTt5rmCkAAEP6SURBVB5R/BkCAwOpurBTpkyh9svIyGDRokVYtWoVkpKSsHfvXhgYGFDiJkhApaSkoK+vT1lmXOtMT08Purq61MMtag1bruOvrKys0GSb3BC6vn37/vSDz+FwqNC5UaNG/dS5GMRDjSIjOnbsiEuXLom7LwyViIqKQmFhIWRlZausKq+oqIg+ffqgT58+AAQXjwGAZcuW4dmzZ3j9+jVev37908HjhYWF2LBhAwgh6NGjB9+8n5KSEhYuXIjNmzfDx8eHpyC2lJQUjI2NYWpqiqZNm6Jp06YwNDSslekE7mKCMNentLQ0xMXFgcViiSWH4o8fP5CdnQ05ObkqfTwZfh01EjoOh4Pw8HCkpKTwpWGuXAyEoeZ8/vwZQLnFLI4wHUNDQ0ycOBGurq7Yvn07Hj58WOPzEkKwfv16/PjxAyoqKpg0aZLAds2bN8e0adPg7e0NIyMjStSMjIxEnkPKzc3FmzdvYGFhIbB+hTC4Fl1GRgY4HA7fai7XmmvSpAntAj1Vwa2N0bp16992nuxPQ2Sh8/HxwYQJExAdHc03B8Ak2xQv3IpZNZmDFMb8+fNx69YthIaGYs6cOdi4cSNfcWY6nD17Fo8fP4aUlBQcHR2rFIi+ffvWOFMuh8PBx48f8fjxY7x+/RqlpaWQlJTEli1b+MoICkNVVRWSkpJgs9lU2viKcIVOXKUAuNmJraysxHI+hp9H5ET0c+bMQfv27RESEoKMjAwqkDozM5Op7SpmakPo1NXVsXbtWkhKSuLZs2ewtbXF0aNHaU+UA8CbN2+oudJVq1aJtX9ckpOTcf78eUyaNAkrVqzAy5cvUVpaCk1NTbDZbKxZswaXL1+mdS4JCQlK3CoX6gHEL3Rci44RuvqDyEIXFhaG7du3o0WLFlBTU4OqqirPxiA+uEIn7nmeUaNG4dGjR7C2tkZhYSFcXFwwcOBAvH37ttpjY2JisHLlShBCMHLkSIwfP15s/SotLYWnpydWrlyJCRMmwNXVFUlJSVBUVMTQoUNx7NgxXLt2jaq5sH37dhw/fpxvZLFmzRqsW7eOJ18cd/hacfWZe03uFIE4hK6wsJA6n6AFJIa6QeSha8eOHREeHk6F9zDUDqWlpVRt1Mr1QcVB8+bNcePGDdy+fRvbtm1DeHg47O3tKadkQXA4HDg6OiInJwetW7fG2rVra7xCyeFwkJSUhIiICISHhyMiIgLfvn3jcTFp06YNBg0ahO7du/O4U6xevRoqKio4evQo/vvvP0RHR2Pp0qVo0KABsrOzcf/+fQDlbk99+/ZFWVkZdWxloQsKCkJRURFUVFTQuHHjGr0XLmlpaThy5AjKysqgo6Mj9mwkDDVHZKFbuHAhli1bhqSkJFhYWPBNtv4ulb9YLFa99h9is9lQUFBAdnY25s2bh9u3b1Opx6uDm4aoKriV7SMiInjug7+/PxISEqi/Ky42FRcXU8kx+/bti8LCQhQWFlY7x8fhcJCdnY3Q0FB8+fKF+leQ35y2tjYGDhwIOzs7oeeVlZXFkiVLoK6uju3bt+P+/ft48eIF/vnnH555u27dukFVVRXr16+n/Pu6du1KWaERERFwcnICUO6sLizAvroFhdDQUBw7dgzXr1+nHJv79evHN29Jt2ShuL6XjB/d/xA5MkLQh/U7Vf4St9c1ndtX0aIQhqD79u7dOwwfPhw5OTno0KED7t27R2t6QFihaS5ZWVnYvXs37ty5QzkgN2jQAOPHj8fw4cN5xLTyqvqFCxdw7NgxqKmp4cqVK1BRURH6mXM4HHh5eeH06dMCI2ZkZGRgZmaGFi1aoGXLlmjZsiUaNmxY7UpwxSzKAQEB2L59O5VsU09PD5MmTYKGhgYeP35MJdjU1tbG2rVrMX78eEhISCAsLAwTJ05EREQEmjZtijt37giNaRWUBYbLpUuXsHTpUmqOs127dpg3bx5fHQ1AvEJH51x0ClPTPdevpF4E9VcX4lXfi+f8TkIHlFtYQ4YMQWZmJtq0aYP79+9Xm9qnKqGLjIzElClTqM/R0NAQkyZNQv/+/QVWf6/8sJSWlmLq1KmIiorCsGHDsHLlSr6+E0Lw9u1bnD59GuHh4QDKa0BwxYwrbCYmJnzWUuWhpSAqp4vncDhwc3PD7t27+YrUyMrKYu7cuXB0dAQhBHfv3sWVK1fw/v17AOU1YO/du0fl0BOEIKErLS3FunXrcPz4cQDlsd5r166FtbW1UKFihI4e9ULofnd+N6EDyhNY2tnZITU1FR06dMCLFy+qtHqECZ2/vz9mzpyJjIwM6OrqYvHixejevXuVX3RBD0tgYCDmz58PoLx6FXfVlRCC9+/f4/Tp01REh4KCAsaOHYv58+fT8lGridBxKSoqwtmzZ3H8+HEUFBRgyJAhWL9+PWJiYnDlyhUqGzJQ/nD37t0bmzZtqnZurrLQZWRkYNq0afDy8gJQPme4cePGagWDETp61Auh4yYqFEbFvF71kd9R6IDyFEs9e/ZETk4OduzYgYULFwptK0jonjx5gkWLFqG4uBgWFhZwdnamViKrQtjDsn37dri5uaFJkyY4efIkQkJCcOrUKWoIyU19Pn78eKiqqtIO2/oZoeOSkZGB6Oho+Pn54erVqzw1Vs3MzGBvb48xY8bQSr8E8Ard58+fMXHiRERHR0NJSQnHjh2DnZ0drblTRujoUS+ErnImh9LSUhQUFEBGRgYKCgr13pfudxU6ADhz5gzmz58PeXl5vH//XmhYWGWhO3v2LDZt2gRCCHr37o1Dhw4JDROrjLCHJSsrC/b29lQiU25FLhkZGQwbNgwTJ07kEZLaFLr09HR8/foVX758oTbukBkoz1gycuRITJgwAW3btqWEhK7vIFfo7t+/j3nz5iE/Px/Gxsa4dOkSZc0yQic+6kX2Em7NzoqEhYVh7ty5WLFihVg6xSCYadOm4caNG/D09MT8+fPx6NGjKh8KDoeDrVu34vTp0wCASZMmYdOmTZCSkqItdMJQU1PD/Pnz4ezsjNjYWEhJSWHw4MGYPHky7ZKLNSE1NRXv37+nBO3r168CSxqyWCz06tUL9vb2GDhwYJULCtXB4XDg4uJC5arr1asXzpw5Qyt9E0P9QCzlDps2bQoXFxdMmjRJYMJHBvHAYrFw+PBhWFtb49WrVzh9+jRmzpwptP2yZcuoDDOrV6/GnDlzxOpKMGjQIMTGxqKgoADjxo0TWB1LnAQEBGDZsmV8lhiLxYKxsTGaN2+O5s2bo0WLFujWrZvIWU4EUVBQgJkzZ+LRo0cAyutHcH8sGH4fxPZpSUlJ8fhf/S3QGXLSCZynO8wwNTXFpk2bsGLFCqxevRq9evVCs2bNeNqoqqqipKQEbm5uAMqHJhEREUhISKCGWnTnp6obmh85ckRgWBWX1NRUbN68GR8+fMCUKVMwa9asKl1kBA0BMzIysHPnTly+fJnqz9SpU9GqVSu0atUKLVu25CvLSGdKoao5ypycHDx58gQHDhzAhw8fICsriyNHjmDy5MnVnlcYv9qPrr4NSesSkefouF7nXAghSExMxKFDh2BgYIDHjx+LtYPiRtzjfzrzb3S+cNUVP+bCYrHA4XAwaNAgeHh4oE2bNvDy8uLx2eKuLH748AHbt2/Hy5cvqdcGDhyIpUuXolOnTrSuR+frIUjoCCFUTdSKdXhVVVUxe/ZsoYJXMZNwWVkZLl68iN27d1ND7REjRmDHjh3VutjQ6XdlcUxOTsbDhw9x7949eHh4UJajmpoa7t69y1MIuybQtQL/BgfeqqgXixGVH1oWiwUtLS307t0be/bsqfXhy8/yJwgdUB7Z0L59e6Snp8PR0RE7d+6k2lROfx4YGIh9+/bh/v37lABYW1vD0NAQsrKykJeXh5ycHOTk5CAvL0/tk5eXR+fOnasN96ssdImJiVi7di2VkNPc3BwODg44c+YMvn37BkC44HGFztfXF+vXr+dJbLBlyxZ06NCB1sQ/XaGLiIjAvXv3cP/+fbx7947nODMzMwwbNgwzZsyoMh8gXRiho0e9ELrfnT9F6ID/VQcDyi3t/v37AxBe5yEsLAz79+/HtWvXaPWbS6dOnTBp0iSMGDFCoC8cV+gIIbh+/Tq2bduGvLw8KsvwrFmzoK6uDg6HgwcPHmD37t1CBS86Ohrbtm2j6l2oqqpixYoVmDRpEjUF8LNCRwjBnTt38N9//1HuMFysrKwwbNgwDB06lKpgJi7hYYSOHvVO6LiH/k4fzJ8kdEB5ZbCjR49CW1sbHz58gI6OTrXFeOLi4uDp6YmCggIUFRWhqKgIhYWFKC4uRmFhIbUvNTUVb9++peYPFRQUMHToUEyaNImnqDQ3Q6+TkxO8vb0BlAfk79ixA02bNgXAO0wUJHgqKioYPHgw7t27h/z8fLBYLEyYMAErV67km0/8GaH7+vUrVq1ahTdv3gAonz/t3r07hg0bhiFDhvBUBePCCN2vpd4I3fnz57Fr1y6q6IiZmRlWrFjxUxO1v4o/TeiKiorQtWtXhISEoG/fvrh//77QilkVoZtZOD4+HlevXsWlS5eozxsoLzBtb28Pe3t73L59Gzt37kRBQQFkZWWxbNkyTJs2jecalefDAMGCB5THi27ZskVogoiaCF1ubi727NmDo0ePoqysDHJycli1ahVmz55dreM0I3S/lnohdHv37sW6deuwYMECdO3aFUB5IsbDhw9j69atQlP81Bf+NKEDgC9fvqBz584oLCzEjh07MHv2bIHHEkKQnZ2NtLQ05OXlUfNwioqKkJeXh4KCAp8Acr8ehBD4+fnh0qVLuH37Nk+uNy7W1tZwcXERGFIlSOi4cDgcPHz4EDdv3kS/fv0watSoKu+ZKELHjW9dt24dFQc7cOBAbNu2jXaeP0bofi31QugaN26MTZs28YV6nTt3Dhs3bqTS4YiKi4sLnJyc4OjoSNXgFMSNGzewbt06REVFoWnTptixY4dIBaz/RKEDyoslL1iwANLS0jh48CDCwsIQGxuL1NRUqjZqenp6tdeRlZWFgoICFBQUoKSkhP79+2PDhg08wfcFBQV48OABLl26hFevXkFeXh4rV67EpEmThL7XqoSuInSsUbpCFx0djcWLF1MxqcbGxnB2dka/fv1E6hMjdL+WeiF0cnJyCAkJ4VuJCwsLg4WFBYqKikTuxPv37zF27FioqKjAxsZGqNC9ffsWPXr0gLOzMwYPHozLly9jx44dCAgI4ClGXBV1UcBaXGFigHDRJIRg7NixuHPnTrXnUFZWhqqqKoqLi5Gfn19t/jo3Nzd07txZ4GtcK6k6dw86dUgBeiJGJ6rD29sbU6dORWZmJuTk5LBy5UosX74ccnJyVBu6w3c6P1R0PuO/XcDoUi9CwExNTXH9+nWsWbOGZ/+1a9eoiWdRyMvLw8SJE3Hy5Els3bq1yrYHDhzAgAEDqFCzLVu2wN3dHYcOHcKxY8dEvvafBIvFwvHjx/Hp0ydERkbCzs4OXbp0QYMGDaClpcXzr5ycHM9DTghBYWEhCgoKKOFLTk6mVnGNjY2FXrdhw4a0rdFfASEE+/btg7OzMwghsLa2xoULF8TiHsLw+yKy0G3atAnjxo2Dl5cXNUfn7e2NFy9e4Pr16yJ3YP78+bCzs0OfPn2qFbp3795h6dKlPPv69+9PuSIIori4mGc4JGhu6U9BQ0MDAQEByMvLg5qaGu3jWCwWNVzlWmZJSUkAgEaNGtV730guHA6HJ0fcnDlzsGvXLtrWJMOfi8gxIqNGjYKfnx8aNGiAu3fv4u7du2jQoAH8/PwwYsQIkc519epVBAQEwNnZmVb7pKQk6Ojo8OzT0dGhHkpBODs78xTvEeQ+8CehoKAgksgJg+vsSzeC4mcghODVq1dYuHBhjSNr2Gw2Fi9eTInc/v37cfDgQUbkGACIaNGVlpZi9uzZWLduHS5evPhTF46NjYWjoyPc3d155k3EjZOTE48VyE0rxFA1T58+BQDY2trW2jW4Aufi4gIfHx8A5anaR44ciT179tAuLlNSUoI5c+bg/v37kJCQwH///YdZs2bVWr8Zfj9EsuikpaVx69YtsVzY398fKSkpaNeuHaSkpCAlJYVXr17h4MGDkJKSEhgsr6uri+TkZJ59ycnJ0NXVFXodWVlZqKio8GwMVZOUlITAwEAAQO/evcV+fkIIPDw8MGDAAAwfPhw+Pj6QlZVF//79ISkpidu3b8PCwgIHDx6sdpGmoKAAkydPxv379yEtLY0zZ85g3LhxYu8zw++NyEPX4cOHVzknRhdbW1t8+vQJgYGB1Na+fXtMnDgRgYGBAlfEOnfujBcvXvDsc3d3F7oiyFAznj17BqA8HEqcueUIIXj58iX69++PESNGwNfXF7Kyspg9ezYCAwNx7do1+Pn5oVOnTsjLy8OyZcvQuXNn+Pn5CTxfbm4uxo4dixcvXkBeXh6XL1/G4MGDxdZfhj8HkRcjmjZtis2bN8Pb2xtWVlZ87gCLFi2idR5lZWU+lxBFRUVoampS+x0cHKCvr0/N4Tk6OqJnz57Ys2cP7OzscPXqVXz48AEnTpwQ9W0wVAF32MpddRUH7969w4YNGyjRkpOTw9SpU+Ho6Miz2GFpaUnl2luzZg0CAwPRrVs3zJ49G9u3b6dibdPS0jBu3DgEBQVBWVkZV69eRceOHcXWX4Y/C5GF7vTp01BTU4O/vz/8/f15XmOxWLSFjg4xMTE8PkxdunTB5cuXsXbtWqxZswZNmzbF3bt3afvQMdDD19cXANCjR4+fPhchBN7e3rC3t0dJSQnk5OQwffp0LFq0SOiUg4SEBGbNmkVVGbt06RKOHTuG169f486dO4iMjMT06dMRHx8PTU1N3Lhx47epJ8xQNzDZS34BdG4x3cSbdJxO6VyvqjY2NjZ48+YNjh8/ThV7rorKZRLLysrw9u1b3L9/Hw8ePOApen3ixIkq51QFRQ94eHhgypQpSExMhLq6OvLy8lBaWkrVY23evDnfMXScfBkH3vpJbTyjTApSBj66desGAFSGDzrk5+fj7t27mDlzJoyMjNC/f38cPnwYMTExkJeXx5gxY3Du3LkqRU4YNjY2ePfuHaysrJCZmYnS0lKMHDkSvr6+AkWOgaEyIg9dKzvscmGxWJCTk4OpqSmGDRtGO1U3Q/2DK3Rv376tsl1CQgLc3d3x9OlTvHjxgif8T1NTE3Z2dhg8eDBsbW2hoKDwU33S19eHh4cHdu7cCUNDQ0ybNo2xyBhoI/LQ1cbGBgEBAWCz2VStgu/fv0NSUhLNmzfHt2/fwGKx8ObNG6o+QX2CGbpW3yY7OxtaWloghODbt2+UFVZaWgo/Pz+4u7vD3d0dISEhPMcZGxtjyJAhGDp0KDp16lSjAjJ0jhFXOUBGKOsn9SLWlWutnT17lupEdnY2Zs6ciW7dumHWrFmYMGEClixZQq3eMfxeqKqqwtLSEkFBQbh//z4UFBTg7u4ODw8PnoB6FosFKysrDBo0CEOGDIG5uTkjHgz1EpEtOn19fbi7u/NZa58/f0a/fv0QHx+PgIAA9OvXr8rqUHUFY9HRa7N48WIcPnyYb7+Ghgb69OmDvn37wtbWFpqamnyLET8DY9Ex1AuLLjs7GykpKXxCl5qaSgXMq6mp0a6CzlA/GTJkCCV0bdu2Rb9+/dCvXz+0bduWdnojBob6Qo2GrtOnT8eePXtgbW0NoDyf3PLlyzF8+HAAgJ+fH8zMzMTaUYZfi62tLYKCgqCgoCCWQtAMDHWJyEPXvLw8LFmyBOfPn6fiEKWkpDBlyhTs3bsXSkpKVJxkmzZtxN3fn6Yuhq50hqV0CmED9IZkdNrQvR4dy7xi9uGfhc7Qle4wvzp+dUFpBnrUiwzDXPLy8hAREQEAMDExoZ2Wuq5hhE606zFCxwjdr6ZeOAxz85QpKSnB0tISlpaWlMgJmrxmYGBgqGtEFrqRI0fyxbgC5WnOnZycxNIpBgYGBnEistDt2rULAwcOxNevX6l9e/bswfr16+Hm5ibWzjEwMDCIA5FXXWfOnImMjAz06dMHb968wbVr17B9+3Y8evSIqiHBwMDAUJ8QPUYHwMqVK5Geno727duDzWbj6dOnv6S2AAMDA0NNoCV0Bw8e5Nunr68PBQUF9OjRA35+flRCRXHmo2NgYGAQB7TcSxo3bkzvZCwW5XJSX6mvIWB0EVcIGN3IFTrhXeLqE912dK7HuIT8vtRZCFhkZKRYLsbAwMBQFzCJNxkYGP54alTAeseOHXz7d+7ciTFjxoilUwwMDAziRGSh8/LywqBBg/j2Dxw4EF5eXmLpFAMDA4M4EVno8vLyBE5QS0tLU2ma6HL06FFYWlpShaU7d+6Mx48fC23v6uoKFovFs8nJyYn6FhgYGP4yRBY6CwsLXLt2jW//1atXRU6d3qhRI7i4uMDf3x8fPnxA7969MWzYMHz+/FnoMSoqKkhMTKS26OhoUd8CAwPDX4bIDsPr1q3DyJEj8ePHD/Tu3RsA8OLFC1y5cgU3btwQ6VxDhgzh+Xvbtm04evQofHx8YG5uLvAYFotVo0pSDAwMfy8iC92QIUNw9+5dbN++HTdv3oS8vDwsLS3x/Plz9OzZs8YdYbPZuHHjBvLz89G5c2eh7fLy8mBkZAQOh4N27dph+/btQkURAIqLi1FcXEz9LerwWhzUR58uWVnZX3o9uveATjs6KaaYLMgMFanzAtafPn1C586dUVRUBCUlJVy+fFngYgcAvHv3DmFhYbC0tER2djZ2794NLy8vfP78GY0aNRJ4zMaNG7Fp0ya+/b/SYfhXIy6n2/oKI3R/NvUq8aa4KCkpQUxMDLKzs3Hz5k2cOnUKr169ojXfV1paihYtWsDe3h5btmwR2EaQRWdgYMAIHSN0DPWUelEch81mY9++fbh+/TpiYmL4QokyMjJEOp+MjAxMTU0BAFZWVnj//j0OHDiA48ePV3ustLQ02rZti/DwcKFtZGVlf/kwjYGBoX4h8qrrpk2bsHfvXowbNw7Z2dlYunQpRo4cCQkJCWzcuPGnO8ThcHgssKpgs9n49OkTGjZs+NPXZWBg+HMR2aK7dOkSTp48CTs7O2zcuBH29vZo0qQJLC0t4ePjI1L2EicnJwwcOBCGhobIzc3F5cuX4enpSRW+dnBwgL6+PpydnQEAmzdvRqdOnWBqaoqsrCzs2rUL0dHRmDlzpqhvg4GB4S9CZKFLSkqChYUFgPK6EdzK7YMHD8a6detEOldKSgocHByQmJhIVYd/+vQp+vbtCwCIiYnhKWCSmZmJWbNmISkpCerq6rCyssLbt29F9t9jYGD4uxBZ6Bo1aoTExEQYGhqiSZMmePbsGdq1a4f379+LPBd2+vTpKl/39PTk+Xvfvn3Yt2+fqF1mYGD4yxF5jm7EiBF48eIFAGDhwoVYt24dmjZtCgcHB0yfPl3sHWQQncphcoK23xlJSclqNwaGivy0e8m7d+/w7t07NG3alC/SoT5SF4k3GRgY6FMv3Esq07lz5yojGRgYGBjqGpGFLj09HZqamgCA2NhYnDx5EoWFhRg6dCi6d+8u9g4yMDAw/Cy05+g+ffoEY2NjaGtro3nz5ggMDIS1tTX27duHEydOwMbGBnfv3q3FrjIwMDDUDNpCt3LlSlhYWMDLywu9evXC4MGDYWdnh+zsbGRmZmL27NlwcXGpzb4yMDAw1AjaixENGjTAy5cvYWlpiby8PKioqOD9+/ewsrICAHz9+hWdOnVCVlZWbfb3p2EWIxgY6je18YzStugyMjKoPHBKSkpQVFSEuro69bq6ujpyc3PF0ikGBgYGcSLSYsT/tXfvUVHV+/vAH0BmEAUUlWsjpB5vIagghOTXSpTMLFtdWN5Aj+bRyGNiHSVTMks4lkYrMU1L+yPDNO141Egj0Uz9qiBJiSIBwbe4aAmDmNzm/fvDH1MjoIAwm9k+r7X2KjafvfezB+Zxz8xm75vPv7L087HuZs09q4g/Y1KDFhXdjBkzjH/9cP36dcydOxddunQBgGb/IT4Rkbk1u+giIyNNvp42bVqDMREREXeeiIiojTW76LZs2dKeOYiI2k2L/9aViMjSsOiISPVYdESkeiw6IlI9Fh0Rqd4dX6aJLBNPBKa7CY/oiEj1WHREpHosOiJSPRYdEakei46IVI9FR0Sqd9edXlJ/HTa9Xq9wEiJqTP1z8w7vxGririu6+qsg63Q6hZMQ0a1UVFTAycmpTdZ1xzewtjQGgwG//vorHBwcmn3SrF6vh06nQ2FhoSruM8H96fjUtk8t2R8RQUVFBTw8PGBt3Tbvrt11R3TW1ta45557WrWso6OjKn7p6nF/Oj617VNz96etjuTq8cMIIlI9Fh0RqR6Lrhm0Wi1iY2ONNwaydNyfjk9t+6T0/tx1H0YQ0d2HR3REpHosOiJSPRYdEakei46IVI9FdwtHjhzBxIkT4eHhASsrK3zxxRdKR7ojcXFxGDFiBBwcHODi4oJJkybhwoULSsdqtffffx++vr7Gk1CDg4Px5ZdfKh2rzcTHx8PKygovvvii0lFa7bXXXoOVlZXJNHDgQLPnYNHdQmVlJfz8/JCYmKh0lDZx+PBhREVF4cSJEzh48CBqamowbtw4VFZWKh2tVe655x7Ex8cjLS0Np0+fxsMPP4wnnngCP/74o9LR7tipU6ewceNG+Pr6Kh3ljt13330oKioyTkePHjV/CKFmASC7d+9WOkabKi0tFQBy+PBhpaO0me7du8vmzZuVjnFHKioq5G9/+5scPHhQRo8eLQsWLFA6UqvFxsaKn5+f0jGER3R3sfLycgCAs7OzwknuXF1dHZKSklBZWYng4GCl49yRqKgoTJgwAaGhoUpHaRMXL16Eh4cH+vTpg6lTp6KgoMDsGe66P+qnGwwGA1588UWEhITAx8dH6TitlpmZieDgYFy/fh1du3bF7t27MXjwYKVjtVpSUhLS09Nx6tQppaO0iaCgIGzduhUDBgxAUVERVqxYgVGjRuGHH36Ag4OD2XKw6O5SUVFR+OGHH5R5v6QNDRgwABkZGSgvL8fOnTsRGRmJw4cPW2TZFRYWYsGCBTh48CDs7OyUjtMmxo8fb/x/X19fBAUFwcvLC5999hlmzZplthwsurvQCy+8gL179+LIkSOtvmRVR6HRaNCvXz8AgL+/P06dOoV3330XGzduVDhZy6WlpaG0tBTDhw83zqurq8ORI0ewbt06VFVVwcbGRsGEd65bt27o378/cnJyzLpdFt1dREQwf/587N69G6mpqbj33nuVjtTmDAYDqqqqlI7RKmPGjEFmZqbJvJkzZ2LgwIFYvHixxZccAFy9ehU//fQTpk+fbtbtsuhu4erVqyb/8uTl5SEjIwPOzs7o3bu3gslaJyoqCtu2bcN//vMfODg4oLi4GMCNixx27txZ4XQtFxMTg/Hjx6N3796oqKjAtm3bkJqaiq+++krpaK3i4ODQ4P3SLl26oEePHhb7PupLL72EiRMnwsvLC7/++itiY2NhY2ODyZMnmzeI0h/7dmSHDh0SAA2myMhIpaO1SmP7AkC2bNmidLRW+fvf/y5eXl6i0WikV69eMmbMGDlw4IDSsdqUpZ9eEh4eLu7u7qLRaMTT01PCw8MlJyfH7Dl4mSYiUj2eR0dEqseiIyLVY9ERkeqx6IhI9Vh0RKR6LDoiUj0WHRGpHouO6C6nxJW0f/nlF0ybNg09evRA586dMWTIEJw+fbrdtseiu0ukpqbCysoKZWVlSkdRNW9vbyQkJCgdo0XMfSXtK1euICQkBLa2tvjyyy9x7tw5rFmzBt27d2+3bbLoLMClS5cwb9489O7dG1qtFm5ubggLC8N3331ntgxtXZRbt25Ft27d2mRd3t7exvsR2NvbY8iQIdi8eXObrPtuMH78eLzxxht48sknG/1+VVUVXnrpJXh6eqJLly4ICgpCampqq7f373//GzqdDlu2bEFgYCDuvfdejBs3Dn379m31Om+HRWcBnnrqKZw5cwYff/wxsrOzsWfPHjz44IP47bfflI7WQHV1tSLbff3111FUVIQffvgB06ZNw3PPPaeqG+Uo6YUXXsDx48eRlJSEs2fP4plnnsEjjzyCixcvtmp9e/bsQUBAAJ555hm4uLhg2LBh2LRpUxunvonZ/7qWWuTKlSsCQFJTU5sck5eXJwDkzJkzDZY7dOiQiPx5gYK9e/fKkCFDRKvVSlBQkGRmZhqXyc/Pl8cee0y6desm9vb2MnjwYNm3b59x/WjkwgajR4+WqKgoWbBggfTo0UMefPBBERFZs2aN+Pj4iL29vdxzzz0yb948qaioMMny1yk2NlZERK5fvy6LFi0SDw8Psbe3l8DAQOM+NMXLy0veeecdk3nOzs6ycOFC49c///yzPP7449KlSxdxcHCQZ555RoqLi43fj4yMlCeeeMJkHQsWLJDRo0cbv9br9TJlyhSxt7cXNzc3Wbt2bYM/uvfy8pI333xTZs6cKV27dhWdTicbN25s8LP6/PPP5cEHH5TOnTuLr6+vHDt2zGTb3377rTzwwANiZ2cn99xzj8yfP1+uXr1q/H5iYqL069dPtFqtuLi4yFNPPWX83o4dO8THx0fs7OzE2dlZxowZY7LsreCme6P8/PPPYmNjI7/88ovJuDFjxkhMTEyz1nkzrVYrWq1WYmJiJD09XTZu3Ch2dnaydevWVq2vOVh0HVxNTY107dpVXnzxRbl+/XqjY1pSdIMGDZIDBw7I2bNn5bHHHhNvb2+prq4WEZEJEybI2LFj5ezZs/LTTz/Jf//7Xzl8+LDU1tbK559/LgDkwoULUlRUJGVlZSJyo+i6du0qL7/8spw/f17Onz8vIiLvvPOOfPPNN5KXlycpKSkyYMAAmTdvnoiIVFVVSUJCgjg6OkpRUZEUFRUZS3D27NkycuRIOXLkiOTk5Mhbb70lWq1WsrOzm3yM/lp0dXV1snPnTrGyspLFixcb5w0dOlQeeOABOX36tJw4cUL8/f1NSqw5RTd79mzx8vKSr7/+WjIzM+XJJ58UBweHBkXn7OwsiYmJcvHiRYmLixNra2vj41L/sxo4cKDs3btXLly4IE8//bR4eXlJTU2NiIjk5ORIly5d5J133pHs7Gz57rvvZNiwYTJjxgwRETl16pTY2NjItm3bJD8/X9LT0+Xdd98VEZFff/1VOnXqJGvXrpW8vDw5e/asJCYmGh/f27m56Pbu3SsApEuXLiZTp06d5NlnnxURkaysrCavjFM/1f8sRERsbW0lODjYZLvz58+X+++/v1kZW4NFZwF27twp3bt3Fzs7Oxk5cqTExMTI999/b/x+S4ouKSnJOOa3336Tzp07y/bt20VEZMiQIfLaa681mqF++StXrpjMHz16tAwbNuy2+7Bjxw7p0aOH8estW7aIk5OTyZjWHj3UX6qp/gkIQJydneXixYsiInLgwAGxsbGRgoIC4zI//vijAJCTJ0+KyO2LTq/Xi62trezYscP4/bKyMrG3t29QdNOmTTN+bTAYxMXFRd5//30R+fNn9dc7ldVnycrKEhGRWbNmyZw5c0yyfPvtt2JtbS1//PGHfP755+Lo6Ch6vb7BY5GWliYAJD8/v8nH61ZuLrqkpCSxsbGR8+fPy8WLF02moqIiEbnxD1dWVtYtp9LSUuM6e/fuLbNmzTLZ7vr168XDw6NVmZuDF960AE899RQmTJiAb7/9FidOnMCXX36J1atXY/PmzZgxY0aL1vXXO2Q5OztjwIAByMrKAgD885//xLx583DgwAGEhobiqaeeatZ9Rf39/RvM+/rrrxEXF4fz589Dr9ejtrYW169fx7Vr12Bvb9/oejIzM1FXV4f+/fubzK+qqkKPHj1umeHll1/GjBkzUFRUhJdffhnPP/+88RLrWVlZ0Ol00Ol0xvGDBw9Gt27dkJWVhREjRtx2H3Nzc1FTU4PAwEDjPCcnJwwYMKDB2L8+ZlZWVnBzc0NpaWmTY9zd3QEApaWlGDhwIL7//nucPXsWn3zyiXGMiMBgMCAvLw9jx46Fl5cX+vTpg0ceeQSPPPIInnzySdjb28PPzw9jxozBkCFDEBYWhnHjxuHpp59u9Seaw4YNQ11dHUpLSzFq1KhGx2g0mhbdlDokJKTBjdOzs7Ph5eXVqozNoeiHEa05fyc1NRXDhw+HVqtFv379sHXr1nbP2RHY2dlh7NixWLZsGY4dO4YZM2YgNjYWAGBtfePHKH+5tGBNTU2LtzF79mzk5uZi+vTpyMzMREBAAN57773bLtelSxeTr/Pz8/HYY4/B19cXn3/+OdLS0oynLtzqw4qrV6/CxsYGaWlpyMjIME5ZWVl49913b5mhZ8+e6NevH0aNGoUdO3bgn//8J86dO9eMvb7B2tra5PEDWvcYAoCtra3J11ZWVjAYDE2OsbKyAgDjmKtXr+If//iHyWPw/fff4+LFi+jbty8cHByQnp6OTz/9FO7u7li+fDn8/PxQVlYGGxsbHDx4EF9++SUGDx6M9957DwMGDEBeXl6Tea9evWrcDvDnlbQLCgrQv39/TJ06FREREdi1axfy8vJw8uRJxMXFYd++fa16fBYuXIgTJ05g1apVyMnJwbZt2/DBBx8gKiqqVetrDkWLrqXn7+Tl5WHChAl46KGHkJGRgRdffBGzZ8+22Etn34nBgwejsrISANCrVy8AQFFRkfH79b+0Nztx4oTx/69cuYLs7GwMGjTIOE+n02Hu3LnYtWsXFi1aZPw0TKPRALhxs5bbSUtLg8FgwJo1a3D//fejf//++PXXX03GaDSaBuv669FDv379TCY3N7fbbvev+xAeHo6YmBgAwKBBg1BYWIjCwkLjmHPnzqGsrMx4t7BevXqZPH6A6WPYp08f2NramtyGsLy8HNnZ2c3O1VzDhw/HuXPnGjwG/fr1M/4cOnXqhNDQUKxevRpnz55Ffn4+vvnmGwA3ijMkJAQrVqzAmTNnoNFosHv37ia3d/r0aQwbNgzDhg0DAERHR2PYsGFYvnw5AGDLli2IiIjAokWLMGDAAEyaNAmnTp1q9e0ERowYgd27d+PTTz+Fj48PVq5ciYSEBEydOrVV62sORV+6jh8/3uR2aLezYcMG3HvvvVizZg2AG7/AR48exTvvvIOwsLBGl6mqqjK5WYrBYMDvv/+OHj16GP8l7ch+//13REREYPr06bjvvvvQtWtXnDlzBvHx8Rg/fjz0ej0AICAgAG+88QZ69eqFS5cuGX9JKysrodfrjaUYGxsLOzs7uLi44PXXX4ezszMefvhh6PV6LF68GGPHjkW/fv1QVlaGgwcPol+/ftDr9cabXO/YsQPjxo2DnZ0dunbtitraWlRVVRlzAICbmxtqamrw1ltv4ZFHHsH//u//Yv369QAAvV4Pa2tr9OrVC1evXsWePXswZMgQdO7cGW5ubnj22Wcxbdo0vPnmm/D19cXly5dx+PBh+Pj4NPkzNhgMuH79ukmGWbNmGc/3CgwMxODBgxEeHo74+HjU1tZi0aJFCAkJQf/+/aHX6xEUFITVq1dj48aNCAwMxPbt25GZmQlfX1/jeidPnoxFixZBq9WiV69eWLVqFaysrFBdXW0c01iWuro642NUUVEB4MZRVP2Y+v/W/6yioqIwZswYzJkzBxEREejSpQvOnz+PQ4cO4e2330ZycjLy8/MxcuRIdOvWDQcOHEBdXR08PT3xzTffIDU1FQ8//DB69eqF06dPo7S0FF5eXiaZ/mr48OHGm5nfrH6ZRYsWYdGiRU1+v6X+53/+p8F5oPXrEhFUVFTAw8PD+GrljrXbu38thJveBG3MqFGjGlw//6OPPhJHR8cml4mNjb3tJ0KcOHHqeFNhYWEbNMsNFvVhRHFxMVxdXU3mubq6Qq/X448//mj0TlYxMTGIjo42fl1eXo7evXujsLAQjo6O7Z6ZiFpGr9dDp9PBwcGhzdZpUUXXGlqtFlqttsF8R0dHFh1RB9aWby1Z1J+Aubm5oaSkxGReSUkJHB0dLfK+pERkHhZVdMHBwUhJSTGZd/DgQZNzw4iIbqZo0d3q/B3gxvtrERERxvFz585Fbm4u/vWvf+H8+fNYv349PvvsMyxcuFCJ+ERkIRQtutudv1NUVGQsPQC49957sW/fPhw8eBB+fn5Ys2YNNm/e3ORpB0REAGAlctPp4Cqn1+vh5OSE8vJyfhhB1AG1x3PUot6jIyJqDRYdEakei46IVI9FR0Sqx6IjItVj0RGR6rHoiEj1WHREpHosOiJSPRYdEakei46IVI9FR0Sqx6IjItVj0RGR6rHoiEj1WHREpHosOiJSPRYdEakei46IVI9FR0Sqx6IjItVj0RGR6rHoiEj1WHREpHosOiJSPRYdEakei46IVI9FR0Sqx6IjItVTvOgSExPh7e0NOzs7BAUF4eTJk7ccn5CQgAEDBqBz587Q6XRYuHAhrl+/bqa0RGSJFC267du3Izo6GrGxsUhPT4efnx/CwsJQWlra6Pht27ZhyZIliI2NRVZWFj788ENs374dr7zyipmTE5ElUbTo1q5di+eeew4zZ87E4MGDsWHDBtjb2+Ojjz5qdPyxY8cQEhKCKVOmwNvbG+PGjcPkyZNvexRIRHc3xYquuroaaWlpCA0N/TOMtTVCQ0Nx/PjxRpcZOXIk0tLSjMWWm5uL/fv349FHH21yO1VVVdDr9SYTEd1dOim14cuXL6Ourg6urq4m811dXXH+/PlGl5kyZQouX76MBx54ACKC2tpazJ0795YvXePi4rBixYo2zU5ElkXxDyNaIjU1FatWrcL69euRnp6OXbt2Yd++fVi5cmWTy8TExKC8vNw4FRYWmjExEXUEih3R9ezZEzY2NigpKTGZX1JSAjc3t0aXWbZsGaZPn47Zs2cDAIYMGYLKykrMmTMHS5cuhbV1w97WarXQarVtvwNEZDEUO6LTaDTw9/dHSkqKcZ7BYEBKSgqCg4MbXebatWsNyszGxgYAICLtF5aILJpiR3QAEB0djcjISAQEBCAwMBAJCQmorKzEzJkzAQARERHw9PREXFwcAGDixIlYu3Ythg0bhqCgIOTk5GDZsmWYOHGisfCIiG6maNGFh4fj0qVLWL58OYqLizF06FAkJycbP6AoKCgwOYJ79dVXYWVlhVdffRW//PILevXqhYkTJ+LNN99UaheIyAJYyV32mk+v18PJyQnl5eVwdHRUOg4R3aQ9nqMW9akrEVFrsOiISPVYdESkeiw6IlI9Fh0RqR6LjohUj0VHRKrHoiMi1WPREZHqseiISPVYdESkeiw6IlI9Fh0RqR6LjohUj0VHRKrHoiMi1WPREZHqseiISPVYdESkeiw6IlI9Fh0RqR6LjohUj0VHRKrHoiMi1WPREZHqseiISPVYdESkeiw6IlI9Fh0RqR6LjohUT/GiS0xMhLe3N+zs7BAUFISTJ0/ecnxZWRmioqLg7u4OrVaL/v37Y//+/WZKS0SWqJOSG9++fTuio6OxYcMGBAUFISEhAWFhYbhw4QJcXFwajK+ursbYsWPh4uKCnTt3wtPTEz///DO6detm/vBEZDGsRESU2nhQUBBGjBiBdevWAQAMBgN0Oh3mz5+PJUuWNBi/YcMGvPXWWzh//jxsbW1btU29Xg8nJyeUl5fD0dHxjvITUdtrj+eoYi9dq6urkZaWhtDQ0D/DWFsjNDQUx48fb3SZPXv2IDg4GFFRUXB1dYWPjw9WrVqFurq6JrdTVVUFvV5vMhHR3UWxort8+TLq6urg6upqMt/V1RXFxcWNLpObm4udO3eirq4O+/fvx7Jly7BmzRq88cYbTW4nLi4OTk5Oxkmn07XpfhBRx6f4hxEtYTAY4OLigg8++AD+/v4IDw/H0qVLsWHDhiaXiYmJQXl5uXEqLCw0Y2Ii6ggU+zCiZ8+esLGxQUlJicn8kpISuLm5NbqMu7s7bG1tYWNjY5w3aNAgFBcXo7q6GhqNpsEyWq0WWq22bcMTkUVR7IhOo9HA398fKSkpxnkGgwEpKSkIDg5udJmQkBDk5OTAYDAY52VnZ8Pd3b3RkiMiAhR+6RodHY1Nmzbh448/RlZWFubNm4fKykrMnDkTABAREYGYmBjj+Hnz5uH333/HggULkJ2djX379mHVqlWIiopSaheIyAIoeh5deHg4Ll26hOXLl6O4uBhDhw5FcnKy8QOKgoICWFv/2cU6nQ5fffUVFi5cCF9fX3h6emLBggVYvHixUrtARBZA0fPolMDz6Ig6NlWdR0dEZC4sOiJSPRYdEakei46IVI9FR0Sqx6IjItVj0RGR6rHoiEj1WHREpHosOiJSPRYdEakei46IVI9FR0Sqx6IjItVj0RGR6rHoiEj1WHREpHosOiJSPRYdEakei46IVI9FR0Sqx6IjItVj0RGR6rHoiEj1WHREpHosOiJSPRYdEakei46IVI9FR0Sqx6IjItXrEEWXmJgIb29v2NnZISgoCCdPnmzWcklJSbCyssKkSZPaNyARWTTFi2779u2Ijo5GbGws0tPT4efnh7CwMJSWlt5yufz8fLz00ksYNWqUmZISkaVSvOjWrl2L5557DjNnzsTgwYOxYcMG2Nvb46OPPmpymbq6OkydOhUrVqxAnz59zJiWiCyRokVXXV2NtLQ0hIaGGudZW1sjNDQUx48fb3K5119/HS4uLpg1a9Ztt1FVVQW9Xm8yEdHdRdGiu3z5Murq6uDq6moy39XVFcXFxY0uc/ToUXz44YfYtGlTs7YRFxcHJycn46TT6e44NxFZFsVfurZERUUFpk+fjk2bNqFnz57NWiYmJgbl5eXGqbCwsJ1TElFH00nJjffs2RM2NjYoKSkxmV9SUgI3N7cG43/66Sfk5+dj4sSJxnkGgwEA0KlTJ1y4cAF9+/Y1WUar1UKr1bZDeiKyFIoe0Wk0Gvj7+yMlJcU4z2AwICUlBcHBwQ3GDxw4EJmZmcjIyDBOjz/+OB566CFkZGTwZSkRNUrRIzoAiI6ORmRkJAICAhAYGIiEhARUVlZi5syZAICIiAh4enoiLi4OdnZ28PHxMVm+W7duANBgPhFRPcWLLjw8HJcuXcLy5ctRXFyMoUOHIjk52fgBRUFBAaytLeqtRCLqYKxERJQOYU56vR5OTk4oLy+Ho6Oj0nGI6Cbt8RzloRIRqR6LjohUj0VHRKrHoiMi1WPREZHqseiISPVYdESkeiw6IlI9Fh0RqR6LjohUj0VHRKrHoiMi1WPREZHqseiISPVYdESkeiw6IlI9Fh0RqR6LjohUj0VHRKrHoiMi1WPREZHqseiISPVYdESkeiw6IlI9Fh0RqR6LjohUj0VHRKrHoiMi1WPREZHqseiISPU6RNElJibC29sbdnZ2CAoKwsmTJ5scu2nTJowaNQrdu3dH9+7dERoaesvxRESKF9327dsRHR2N2NhYpKenw8/PD2FhYSgtLW10fGpqKiZPnoxDhw7h+PHj0Ol0GDduHH755RczJyciS2ElIqJkgKCgIIwYMQLr1q0DABgMBuh0OsyfPx9Lliy57fJ1dXXo3r071q1bh4iIiNuO1+v1cHJyQnl5ORwdHe84PxG1rfZ4jip6RFddXY20tDSEhoYa51lbWyM0NBTHjx9v1jquXbuGmpoaODs7N/r9qqoq6PV6k4mI7i6KFt3ly5dRV1cHV1dXk/murq4oLi5u1joWL14MDw8Pk7L8q7i4ODg5ORknnU53x7mJyLIo/h7dnYiPj0dSUhJ2794NOzu7RsfExMSgvLzcOBUWFpo5JREprZOSG+/ZsydsbGxQUlJiMr+kpARubm63XPbtt99GfHw8vv76a/j6+jY5TqvVQqvVtkleIrJMih7RaTQa+Pv7IyUlxTjPYDAgJSUFwcHBTS63evVqrFy5EsnJyQgICDBHVCKyYIoe0QFAdHQ0IiMjERAQgMDAQCQkJKCyshIzZ84EAERERMDT0xNxcXEAgH//+99Yvnw5tm3bBm9vb+N7eV27dkXXrl0V2w8i6rgUL7rw8HBcunQJy5cvR3FxMYYOHYrk5GTjBxQFBQWwtv7zwPP9999HdXU1nn76aZP1xMbG4rXXXjNndCKyEIqfR2duPI+OqGNT3Xl0RETmwKIjItVj0RGR6rHoiEj1WHREpHosOiJSPRYdEakei46IVI9FR0Sqx6IjItVj0RGR6rHoiEj1WHREpHosOiJSPRYdEakei46IVI9FR0Sqx6IjItVj0RGR6rHoiEj1WHREpHosOiJSPRYdEakei46IVI9FR0Sqx6IjItVj0RGR6rHoiEj1WHREpHodougSExPh7e0NOzs7BAUF4eTJk7ccv2PHDgwcOBB2dnYYMmQI9u/fb6akRGSJFC+67du3Izo6GrGxsUhPT4efnx/CwsJQWlra6Phjx45h8uTJmDVrFs6cOYNJkyZh0qRJ+OGHH8ycnIgshZWIiJIBgoKCMGLECKxbtw4AYDAYoNPpMH/+fCxZsqTB+PDwcFRWVmLv3r3Geffffz+GDh2KDRs23HZ7er0eTk5OKC8vh6OjY9vtCBG1ifZ4jnZqk7W0UnV1NdLS0hATE2OcZ21tjdDQUBw/frzRZY4fP47o6GiTeWFhYfjiiy8aHV9VVYWqqirj1+Xl5QBuPJhE1PHUPzfb8hhM0aK7fPky6urq4OrqajLf1dUV58+fb3SZ4uLiRscXFxc3Oj4uLg4rVqxoMF+n07UyNRGZw2+//QYnJ6c2WZeiRWcOMTExJkeAZWVl8PLyQkFBQZs9iOai1+uh0+lQWFhoUS+7LTU3YLnZLTU3cONVV+/eveHs7Nxm61S06Hr27AkbGxuUlJSYzC8pKYGbm1ujy7i5ubVovFarhVarbTDfycnJ4n4B6jk6OlpkdkvNDVhudkvNDdx4G6vN1tVma2oFjUYDf39/pKSkGOcZDAakpKQgODi40WWCg4NNxgPAwYMHmxxPRKT4S9fo6GhERkYiICAAgYGBSEhIQGVlJWbOnAkAiIiIgKenJ+Li4gAACxYswOjRo7FmzRpMmDABSUlJOH36ND744AMld4OIOjDFiy48PByXLl3C8uXLUVxcjKFDhyI5Odn4gUNBQYHJIezIkSOxbds2vPrqq3jllVfwt7/9DV988QV8fHyatT2tVovY2NhGX852dJaa3VJzA5ab3VJzA+2TXfHz6IiI2pvifxlBRNTeWHREpHosOiJSPRYdEakei46IVE+VRWfJ17drSfZNmzZh1KhR6N69O7p3747Q0NDb7mt7aeljXi8pKQlWVlaYNGlS+wa8hZZmLysrQ1RUFNzd3aHVatG/f39FfmdamjshIQEDBgxA586dodPpsHDhQly/ft1MaW84cuQIJk6cCA8PD1hZWTV5MY6/Sk1NxfDhw6HVatGvXz9s3bq15RsWlUlKShKNRiMfffSR/Pjjj/Lcc89Jt27dpKSkpNHx3333ndjY2Mjq1avl3Llz8uqrr4qtra1kZmaaOXnLs0+ZMkUSExPlzJkzkpWVJTNmzBAnJyf5v//7vw6du15eXp54enrKqFGj5IknnjBP2Ju0NHtVVZUEBATIo48+KkePHpW8vDxJTU2VjIyMDp37k08+Ea1WK5988onk5eXJV199Je7u7rJw4UKz5t6/f78sXbpUdu3aJQBk9+7dtxyfm5sr9vb2Eh0dLefOnZP33ntPbGxsJDk5uUXbVV3RBQYGSlRUlPHruro68fDwkLi4uEbHP/vsszJhwgSTeUFBQfKPf/yjXXM2pqXZb1ZbWysODg7y8ccft1fERrUmd21trYwcOVI2b94skZGRihVdS7O///770qdPH6murjZXxEa1NHdUVJQ8/PDDJvOio6MlJCSkXXPeSnOK7l//+pfcd999JvPCw8MlLCysRdtS1UvX+uvbhYaGGuc15/p2fx0P3Li+XVPj20trst/s2rVrqKmpadOrPtxOa3O//vrrcHFxwaxZs8wRs1Gtyb5nzx4EBwcjKioKrq6u8PHxwapVq1BXV2eu2K3KPXLkSKSlpRlf3ubm5mL//v149NFHzZK5tdrq+an4n4C1JXNc3669tCb7zRYvXgwPD48GvxjtqTW5jx49ig8//BAZGRlmSNi01mTPzc3FN998g6lTp2L//v3IycnB888/j5qaGsTGxpojdqtyT5kyBZcvX8YDDzwAEUFtbS3mzp2LV155xRyRW62p56der8cff/yBzp07N2s9qjqiu5vFx8cjKSkJu3fvhp2dndJxmlRRUYHp06dj06ZN6Nmzp9JxWsxgMMDFxQUffPAB/P39ER4ejqVLlzbrMv5KSk1NxapVq7B+/Xqkp6dj165d2LdvH1auXKl0NLNQ1RGdOa5v115ak73e22+/jfj4eHz99dfw9fVtz5gNtDT3Tz/9hPz8fEycONE4z2AwAAA6deqECxcuoG/fvu0b+v9rzWPu7u4OW1tb2NjYGOcNGjQIxcXFqK6uhkajadfMQOt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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "contour_fig, axes = plt.subplots(3, 1, figsize=(3, 9))\n", + "\n", + "# plot NS and DREAM for each parameter\n", + "RATplot.plot_contour(ns_results, 0, 1, axes=axes[0])\n", + "RATplot.plot_contour(dream_results, 0, 1, axes=axes[1])\n", + "# we want all 3 plots to have the same x-range\n", + "# so we will use the nested sampler x-range as our base\n", + "axes[1].set_xlim(*axes[0][i].get_xlim())\n", + "axes[1].set_title(\"\")\n" + ] + }, { "cell_type": "code", "execution_count": null, diff --git a/RATapi/examples/bayes_benchmark/bayes_benchmark.py b/RATapi/examples/bayes_benchmark/bayes_benchmark.py index 5dddb523..3f47442c 100644 --- a/RATapi/examples/bayes_benchmark/bayes_benchmark.py +++ b/RATapi/examples/bayes_benchmark/bayes_benchmark.py @@ -25,7 +25,7 @@ import RATapi as RAT import RATapi.utils.plotting as RATplot -from RATapi.models import Parameter, Background, Resolution, Data, Contrast +from RATapi.models import Background, Contrast, Data, Parameter, Resolution PWD = Path(__file__).parents[0] @@ -44,7 +44,7 @@ def get_project() -> RAT.Project: background_parameters=[ Parameter(name="Background parameter 1", min=5e-08, value=3.069003361230152e-06, max=7e-06, fit=True) ], - scalefactors=[Parameter(name="Scalefactor 1", min=0.05, value=0.10141560336360426, max=0.3, fit=True)], + scalefactors=[Parameter(name="Scalefactor 1", min=0.07, value=0.10141560336360426, max=0.13, fit=False)], bulk_in=[Parameter(name="Air", min=0.0, value=0.0, max=0.0, fit=False)], bulk_out=[Parameter(name="D2O", min=6.3e-06, value=6.35e-06, max=6.4e-06, fit=False)], resolution_parameters=[Parameter(name="Resolution parameter 1", min=0.01, value=0.03, max=0.05, fit=False)], @@ -229,6 +229,7 @@ def bayes_benchmark_3d(grid_size: int) -> (RAT.outputs.BayesResults, Calculation """ problem = get_project() + problem.scalefactors[0].fit = True ns_controls = RAT.Controls(procedure="ns", nsTolerance=1, nLive=500, display="final") _, ns_results = RAT.run(problem, ns_controls) @@ -320,6 +321,7 @@ def plot_marginalised_result(dimension: int, axes: plt.Axes, limits: tuple[float # note we don't need to normalise here as np.histogram normalises for us sum_axes = tuple(i for i in range(0, num_params) if i != dimension) distribution = np.sum(calc_results.distribution, axis=sum_axes) + distribution /= np.sum(calc_results.distribution) # create histogram axes.hist( From c1682be9790e5acbbf8b21feafa6a444595ecbd8 Mon Sep 17 00:00:00 2001 From: alexhroom Date: Tue, 17 Dec 2024 14:54:29 +0000 Subject: [PATCH 07/10] added contours to notebook --- .../bayes_benchmark/bayes_benchmark.ipynb | 1858 +---------------- 1 file changed, 31 insertions(+), 1827 deletions(-) diff --git a/RATapi/examples/bayes_benchmark/bayes_benchmark.ipynb b/RATapi/examples/bayes_benchmark/bayes_benchmark.ipynb index c82a1a0a..bb8639e4 100644 --- a/RATapi/examples/bayes_benchmark/bayes_benchmark.ipynb +++ b/RATapi/examples/bayes_benchmark/bayes_benchmark.ipynb @@ -35,18 +35,9 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/alexhroom/Code/Python/python-RAT/.venv/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n" - ] - } - ], + "outputs": [], "source": [ "import numpy as np\n", "\n", @@ -167,1747 +158,9 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Starting RAT ───────────────────────────────────────────────────────────────────────────────────────────────────────────\n", - "\n", - "\n", - "Running Nested Sampler\n", - "\n", - "log(Z): -7.16104e+01, tol = 6.98054e+01, K = 1, iteration = 1, H = -nan\n", - "log(Z): -7.06250e+01, tol = 6.88180e+01, K = 1, iteration = 2, H = 3.23599e+00\n", - "log(Z): -6.94628e+01, tol = 6.76538e+01, K = 1, iteration = 3, H = 4.66504e+00\n", - "log(Z): -6.88422e+01, tol = 6.70312e+01, K = 1, iteration = 4, H = 4.69445e+00\n", - "log(Z): -6.39816e+01, tol = 6.21686e+01, K = 1, iteration = 5, H = 6.16640e+00\n", - "log(Z): -6.29837e+01, tol = 6.11687e+01, K = 1, iteration = 6, H = 5.54555e+00\n", - "log(Z): -6.21650e+01, tol = 6.03481e+01, K = 1, iteration = 7, H = 5.24064e+00\n", - "log(Z): -6.09968e+01, tol = 5.91778e+01, K = 1, iteration = 8, H = 5.30228e+00\n", - "log(Z): -5.93002e+01, tol = 5.74792e+01, K = 1, iteration = 9, H = 5.58492e+00\n", - "log(Z): -5.84434e+01, tol = 5.66204e+01, K = 1, iteration = 10, H = 5.27649e+00\n", - "log(Z): -5.77264e+01, tol = 5.59014e+01, K = 1, iteration = 11, H = 5.07451e+00\n", - "log(Z): -5.65044e+01, tol = 5.46774e+01, K = 1, iteration = 12, H = 5.28867e+00\n", - "log(Z): -5.59357e+01, tol = 5.41067e+01, K = 1, iteration = 13, H = 5.01676e+00\n", - "log(Z): -5.45097e+01, tol = 5.26787e+01, K = 1, iteration = 14, H = 5.39596e+00\n", - "log(Z): -5.35224e+01, tol = 5.16894e+01, K = 1, iteration = 15, H = 5.26748e+00\n", - "log(Z): -5.27293e+01, tol = 5.08943e+01, K = 1, iteration = 16, H = 5.11441e+00\n", - "log(Z): -5.17430e+01, tol = 4.99060e+01, K = 1, iteration = 17, H = 5.16449e+00\n", - "log(Z): -5.07905e+01, tol = 4.89515e+01, K = 1, iteration = 18, H = 5.16419e+00\n", - "log(Z): -4.97794e+01, tol = 4.79385e+01, K = 1, iteration = 19, H = 5.20036e+00\n", - "log(Z): -4.91386e+01, tol = 4.72956e+01, K = 1, iteration = 20, H = 5.00699e+00\n", - "log(Z): -4.86684e+01, tol = 4.68235e+01, K = 1, iteration = 21, H = 4.81374e+00\n", - "log(Z): -4.83054e+01, tol = 4.64584e+01, K = 1, iteration = 22, H = 4.63872e+00\n", - "log(Z): -4.80180e+01, tol = 4.61690e+01, K = 1, iteration = 23, H = 4.48149e+00\n", - "log(Z): -4.76536e+01, tol = 4.58027e+01, K = 1, iteration = 24, H = 4.40975e+00\n", - "log(Z): -4.73167e+01, tol = 4.54638e+01, K = 1, iteration = 25, H = 4.34144e+00\n", - "log(Z): -4.70563e+01, tol = 4.52013e+01, K = 1, iteration = 26, H = 4.24423e+00\n", - "log(Z): -4.68331e+01, tol = 4.49762e+01, K = 1, iteration = 27, H = 4.14850e+00\n", - "log(Z): -4.66075e+01, tol = 4.47485e+01, K = 1, iteration = 28, H = 4.07382e+00\n", - "log(Z): -4.62590e+01, tol = 4.43980e+01, K = 1, iteration = 29, H = 4.11456e+00\n", - "log(Z): -4.59649e+01, tol = 4.41019e+01, K = 1, iteration = 30, H = 4.09717e+00\n", - "log(Z): -4.56511e+01, tol = 4.37861e+01, K = 1, iteration = 31, H = 4.10126e+00\n", - "log(Z): -4.51133e+01, tol = 4.32463e+01, K = 1, iteration = 32, H = 4.32759e+00\n", - "log(Z): -4.46854e+01, tol = 4.28164e+01, K = 1, iteration = 33, H = 4.36087e+00\n", - "log(Z): -4.42422e+01, tol = 4.23712e+01, K = 1, iteration = 34, H = 4.39627e+00\n", - "log(Z): -4.39218e+01, tol = 4.20488e+01, K = 1, iteration = 35, H = 4.32633e+00\n", - "log(Z): -4.34158e+01, tol = 4.15408e+01, K = 1, iteration = 36, H = 4.43256e+00\n", - "log(Z): -4.29709e+01, tol = 4.10939e+01, K = 1, iteration = 37, H = 4.44582e+00\n", - "log(Z): -4.26287e+01, tol = 4.07497e+01, K = 1, iteration = 38, H = 4.37817e+00\n", - "log(Z): -4.22037e+01, tol = 4.03227e+01, K = 1, iteration = 39, H = 4.39560e+00\n", - "log(Z): -4.16343e+01, tol = 3.97514e+01, K = 1, iteration = 40, H = 4.53507e+00\n", - "log(Z): -4.11915e+01, tol = 3.93445e+01, K = 1, iteration = 41, H = 4.51283e+00\n", - "log(Z): -4.08860e+01, tol = 3.90370e+01, K = 1, iteration = 42, H = 4.40624e+00\n", - "log(Z): -4.06354e+01, tol = 3.87844e+01, K = 1, iteration = 43, H = 4.29693e+00\n", - "log(Z): -4.04204e+01, tol = 3.85674e+01, K = 1, iteration = 44, H = 4.19356e+00\n", - "log(Z): -4.02428e+01, tol = 3.83877e+01, K = 1, iteration = 45, H = 4.09277e+00\n", - "log(Z): -4.00432e+01, tol = 3.81861e+01, K = 1, iteration = 46, H = 4.02035e+00\n", - "log(Z): -3.98310e+01, tol = 3.79720e+01, K = 1, iteration = 47, H = 3.96968e+00\n", - "log(Z): -3.96305e+01, tol = 3.77694e+01, K = 1, iteration = 48, H = 3.92089e+00\n", - "log(Z): -3.94612e+01, tol = 3.75981e+01, K = 1, iteration = 49, H = 3.86069e+00\n", - "log(Z): -3.92707e+01, tol = 3.74057e+01, K = 1, iteration = 50, H = 3.82481e+00\n", - "log(Z): -3.90306e+01, tol = 3.71636e+01, K = 1, iteration = 51, H = 3.83797e+00\n", - "log(Z): -3.88306e+01, tol = 3.69615e+01, K = 1, iteration = 52, H = 3.81417e+00\n", - "log(Z): -3.86521e+01, tol = 3.67811e+01, K = 1, iteration = 53, H = 3.77833e+00\n", - "log(Z): -3.84905e+01, tol = 3.66174e+01, K = 1, iteration = 54, H = 3.73652e+00\n", - "log(Z): -3.83495e+01, tol = 3.64745e+01, K = 1, iteration = 55, H = 3.68747e+00\n", - "log(Z): -3.82252e+01, tol = 3.63481e+01, K = 1, iteration = 56, H = 3.63519e+00\n", - "log(Z): -3.81010e+01, tol = 3.62219e+01, K = 1, iteration = 57, H = 3.58916e+00\n", - "log(Z): -3.79368e+01, tol = 3.60558e+01, K = 1, iteration = 58, H = 3.57892e+00\n", - "log(Z): -3.77337e+01, tol = 3.58507e+01, K = 1, iteration = 59, H = 3.60777e+00\n", - "log(Z): -3.75611e+01, tol = 3.56761e+01, K = 1, iteration = 60, H = 3.60263e+00\n", - "log(Z): -3.74010e+01, tol = 3.55140e+01, K = 1, iteration = 61, H = 3.58784e+00\n", - "log(Z): -3.72300e+01, tol = 3.53410e+01, K = 1, iteration = 62, H = 3.58508e+00\n", - "log(Z): -3.70840e+01, tol = 3.51930e+01, K = 1, iteration = 63, H = 3.56193e+00\n", - "log(Z): -3.69481e+01, tol = 3.50550e+01, K = 1, iteration = 64, H = 3.53439e+00\n", - "log(Z): -3.68065e+01, tol = 3.49115e+01, K = 1, iteration = 65, H = 3.51502e+00\n", - "log(Z): -3.66289e+01, tol = 3.47318e+01, K = 1, iteration = 66, H = 3.53152e+00\n", - "log(Z): -3.64677e+01, tol = 3.45686e+01, K = 1, iteration = 67, H = 3.53002e+00\n", - "log(Z): -3.63201e+01, tol = 3.44191e+01, K = 1, iteration = 68, H = 3.51702e+00\n", - "log(Z): -3.61844e+01, tol = 3.42813e+01, K = 1, iteration = 69, H = 3.49632e+00\n", - "log(Z): -3.60552e+01, tol = 3.41502e+01, K = 1, iteration = 70, H = 3.47327e+00\n", - "log(Z): -3.59176e+01, tol = 3.40105e+01, K = 1, iteration = 71, H = 3.46019e+00\n", - "log(Z): -3.57812e+01, tol = 3.38721e+01, K = 1, iteration = 72, H = 3.44805e+00\n", - "log(Z): -3.56456e+01, tol = 3.37346e+01, K = 1, iteration = 73, H = 3.43691e+00\n", - "log(Z): -3.55186e+01, tol = 3.36056e+01, K = 1, iteration = 74, H = 3.42026e+00\n", - "log(Z): -3.54048e+01, tol = 3.34898e+01, K = 1, iteration = 75, H = 3.39549e+00\n", - "log(Z): -3.52724e+01, tol = 3.33553e+01, K = 1, iteration = 76, H = 3.38901e+00\n", - "log(Z): -3.51508e+01, tol = 3.32318e+01, K = 1, iteration = 77, H = 3.37420e+00\n", - "log(Z): -3.50424e+01, tol = 3.31213e+01, K = 1, iteration = 78, H = 3.35092e+00\n", - "log(Z): -3.48973e+01, tol = 3.29742e+01, K = 1, iteration = 79, H = 3.36298e+00\n", - "log(Z): -3.47115e+01, tol = 3.27864e+01, K = 1, iteration = 80, H = 3.41829e+00\n", - "log(Z): -3.45145e+01, tol = 3.25874e+01, K = 1, iteration = 81, H = 3.47749e+00\n", - "log(Z): -3.43449e+01, tol = 3.24158e+01, K = 1, iteration = 82, H = 3.49695e+00\n", - "log(Z): -3.41349e+01, tol = 3.22039e+01, K = 1, iteration = 83, H = 3.55754e+00\n", - "log(Z): -3.39546e+01, tol = 3.20215e+01, K = 1, iteration = 84, H = 3.57564e+00\n", - "log(Z): -3.37971e+01, tol = 3.18621e+01, K = 1, iteration = 85, H = 3.56956e+00\n", - "log(Z): -3.36551e+01, tol = 3.17180e+01, K = 1, iteration = 86, H = 3.55151e+00\n", - "log(Z): -3.35027e+01, tol = 3.15637e+01, K = 1, iteration = 87, H = 3.54494e+00\n", - "log(Z): -3.33649e+01, tol = 3.14239e+01, K = 1, iteration = 88, H = 3.52716e+00\n", - "log(Z): -3.32431e+01, tol = 3.13000e+01, K = 1, iteration = 89, H = 3.49953e+00\n", - "log(Z): -3.31214e+01, tol = 3.11764e+01, K = 1, iteration = 90, H = 3.47512e+00\n", - "log(Z): -3.29944e+01, tol = 3.10473e+01, K = 1, iteration = 91, H = 3.45800e+00\n", - "log(Z): -3.28685e+01, tol = 3.09195e+01, K = 1, iteration = 92, H = 3.44220e+00\n", - "log(Z): -3.27539e+01, tol = 3.08029e+01, K = 1, iteration = 93, H = 3.41952e+00\n", - "log(Z): -3.26434e+01, tol = 3.06903e+01, K = 1, iteration = 94, H = 3.39640e+00\n", - "log(Z): -3.25388e+01, tol = 3.05838e+01, K = 1, iteration = 95, H = 3.37146e+00\n", - "log(Z): -3.24425e+01, tol = 3.04854e+01, K = 1, iteration = 96, H = 3.34335e+00\n", - "log(Z): -3.23538e+01, tol = 3.03948e+01, K = 1, iteration = 97, H = 3.31288e+00\n", - "log(Z): -3.22676e+01, tol = 3.03065e+01, K = 1, iteration = 98, H = 3.28361e+00\n", - "log(Z): -3.21809e+01, tol = 3.02179e+01, K = 1, iteration = 99, H = 3.25720e+00\n", - "log(Z): -3.21005e+01, tol = 3.01355e+01, K = 1, iteration = 100, H = 3.22904e+00\n", - "log(Z): -3.20186e+01, tol = 3.00516e+01, K = 1, iteration = 101, H = 3.20418e+00\n", - "log(Z): -3.19414e+01, tol = 2.99723e+01, K = 1, iteration = 102, H = 3.17837e+00\n", - "log(Z): -3.18657e+01, tol = 2.98947e+01, K = 1, iteration = 103, H = 3.15355e+00\n", - "log(Z): -3.17800e+01, tol = 2.98070e+01, K = 1, iteration = 104, H = 3.13802e+00\n", - "log(Z): -3.16959e+01, tol = 2.97208e+01, K = 1, iteration = 105, H = 3.12270e+00\n", - "log(Z): -3.16176e+01, tol = 2.96406e+01, K = 1, iteration = 106, H = 3.10425e+00\n", - "log(Z): -3.15389e+01, tol = 2.95599e+01, K = 1, iteration = 107, H = 3.08766e+00\n", - "log(Z): -3.14588e+01, tol = 2.94777e+01, K = 1, iteration = 108, H = 3.07362e+00\n", - "log(Z): -3.13767e+01, tol = 2.93937e+01, K = 1, iteration = 109, H = 3.06238e+00\n", - "log(Z): -3.12919e+01, tol = 2.93069e+01, K = 1, iteration = 110, H = 3.05455e+00\n", - "log(Z): -3.12053e+01, tol = 2.92183e+01, K = 1, iteration = 111, H = 3.04908e+00\n", - "log(Z): -3.10807e+01, tol = 2.90917e+01, K = 1, iteration = 112, H = 3.08484e+00\n", - "log(Z): -3.09484e+01, tol = 2.89574e+01, K = 1, iteration = 113, H = 3.12589e+00\n", - "log(Z): -3.08289e+01, tol = 2.88358e+01, K = 1, iteration = 114, H = 3.14744e+00\n", - "log(Z): -3.07147e+01, tol = 2.87197e+01, K = 1, iteration = 115, H = 3.16094e+00\n", - "log(Z): -3.05908e+01, tol = 2.85937e+01, K = 1, iteration = 116, H = 3.18382e+00\n", - "log(Z): -3.04773e+01, tol = 2.84783e+01, K = 1, iteration = 117, H = 3.19314e+00\n", - "log(Z): -3.03692e+01, tol = 2.83682e+01, K = 1, iteration = 118, H = 3.19635e+00\n", - "log(Z): -3.02596e+01, tol = 2.82565e+01, K = 1, iteration = 119, H = 3.20093e+00\n", - "log(Z): -3.01591e+01, tol = 2.81541e+01, K = 1, iteration = 120, H = 3.19655e+00\n", - "log(Z): -3.00353e+01, tol = 2.80282e+01, K = 1, iteration = 121, H = 3.21636e+00\n", - "log(Z): -2.99187e+01, tol = 2.79096e+01, K = 1, iteration = 122, H = 3.22644e+00\n", - "log(Z): -2.97994e+01, tol = 2.77884e+01, K = 1, iteration = 123, H = 3.23837e+00\n", - "log(Z): -2.96655e+01, tol = 2.76525e+01, K = 1, iteration = 124, H = 3.26491e+00\n", - "log(Z): -2.95247e+01, tol = 2.75097e+01, K = 1, iteration = 125, H = 3.29610e+00\n", - "log(Z): -2.93982e+01, tol = 2.73811e+01, K = 1, iteration = 126, H = 3.30819e+00\n", - "log(Z): -2.92736e+01, tol = 2.72546e+01, K = 1, iteration = 127, H = 3.31703e+00\n", - "log(Z): -2.91386e+01, tol = 2.71175e+01, K = 1, iteration = 128, H = 3.33595e+00\n", - "log(Z): -2.90160e+01, tol = 2.69929e+01, K = 1, iteration = 129, H = 3.34014e+00\n", - "log(Z): -2.88873e+01, tol = 2.68623e+01, K = 1, iteration = 130, H = 3.35005e+00\n", - "log(Z): -2.87696e+01, tol = 2.67426e+01, K = 1, iteration = 131, H = 3.34844e+00\n", - 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2.55135e+01, K = 1, iteration = 143, H = 3.21513e+00\n", - "log(Z): -2.74845e+01, tol = 2.54315e+01, K = 1, iteration = 144, H = 3.19674e+00\n", - "log(Z): -2.74097e+01, tol = 2.53547e+01, K = 1, iteration = 145, H = 3.17611e+00\n", - "log(Z): -2.73374e+01, tol = 2.52804e+01, K = 1, iteration = 146, H = 3.15535e+00\n", - "log(Z): -2.72585e+01, tol = 2.51994e+01, K = 1, iteration = 147, H = 3.14117e+00\n", - "log(Z): -2.71741e+01, tol = 2.51130e+01, K = 1, iteration = 148, H = 3.13274e+00\n", - "log(Z): -2.70804e+01, tol = 2.50174e+01, K = 1, iteration = 149, H = 3.13367e+00\n", - "log(Z): -2.69889e+01, tol = 2.49238e+01, K = 1, iteration = 150, H = 3.13270e+00\n", - "log(Z): -2.69018e+01, tol = 2.48348e+01, K = 1, iteration = 151, H = 3.12779e+00\n", - "log(Z): -2.68192e+01, tol = 2.47502e+01, K = 1, iteration = 152, H = 3.11954e+00\n", - "log(Z): -2.67201e+01, tol = 2.46491e+01, K = 1, iteration = 153, H = 3.12785e+00\n", - "log(Z): -2.66141e+01, tol = 2.45411e+01, K = 1, iteration = 154, H = 3.14283e+00\n", - "log(Z): -2.65172e+01, tol = 2.44421e+01, K = 1, iteration = 155, H = 3.14715e+00\n", - "log(Z): -2.64240e+01, tol = 2.43470e+01, K = 1, iteration = 156, H = 3.14757e+00\n", - "log(Z): -2.63374e+01, tol = 2.42583e+01, K = 1, iteration = 157, H = 3.14204e+00\n", - "log(Z): -2.62535e+01, tol = 2.41724e+01, K = 1, iteration = 158, H = 3.13474e+00\n", - "log(Z): -2.61748e+01, tol = 2.40917e+01, K = 1, iteration = 159, H = 3.12374e+00\n", - "log(Z): -2.60654e+01, tol = 2.39803e+01, K = 1, iteration = 160, H = 3.14412e+00\n", - "log(Z): -2.59602e+01, tol = 2.38732e+01, K = 1, iteration = 161, H = 3.15797e+00\n", - "log(Z): -2.58622e+01, tol = 2.37732e+01, K = 1, iteration = 162, H = 3.16320e+00\n", - "log(Z): -2.57719e+01, tol = 2.36808e+01, K = 1, iteration = 163, H = 3.16080e+00\n", - "log(Z): -2.56741e+01, tol = 2.35810e+01, K = 1, iteration = 164, H = 3.16599e+00\n", - "log(Z): -2.55793e+01, tol = 2.34843e+01, K = 1, iteration = 165, H = 3.16787e+00\n", - "log(Z): -2.54920e+01, tol = 2.33950e+01, K = 1, iteration = 166, H = 3.16277e+00\n", - "log(Z): -2.54059e+01, tol = 2.33068e+01, K = 1, iteration = 167, H = 3.15722e+00\n", - "log(Z): -2.53262e+01, tol = 2.32252e+01, K = 1, iteration = 168, H = 3.14666e+00\n", - "log(Z): -2.52434e+01, tol = 2.31404e+01, K = 1, iteration = 169, H = 3.13975e+00\n", - "log(Z): -2.51586e+01, tol = 2.30535e+01, K = 1, iteration = 170, H = 3.13543e+00\n", - "log(Z): -2.50800e+01, tol = 2.29729e+01, K = 1, iteration = 171, H = 3.12609e+00\n", - "log(Z): -2.50058e+01, tol = 2.28968e+01, K = 1, iteration = 172, H = 3.11394e+00\n", - "log(Z): -2.49335e+01, tol = 2.28224e+01, K = 1, iteration = 173, H = 3.10130e+00\n", - "log(Z): -2.48649e+01, tol = 2.27519e+01, K = 1, iteration = 174, H = 3.08670e+00\n", - "log(Z): -2.47887e+01, tol = 2.26737e+01, K = 1, iteration = 175, H = 3.07957e+00\n", - "log(Z): -2.47131e+01, tol = 2.25961e+01, K = 1, iteration = 176, H = 3.07250e+00\n", - "log(Z): -2.46346e+01, tol = 2.25156e+01, K = 1, iteration = 177, H = 3.06877e+00\n", - "log(Z): -2.45573e+01, tol = 2.24363e+01, K = 1, iteration = 178, H = 3.06433e+00\n", - "log(Z): -2.44669e+01, tol = 2.23438e+01, K = 1, iteration = 179, H = 3.07335e+00\n", - "log(Z): -2.43836e+01, tol = 2.22585e+01, K = 1, iteration = 180, H = 3.07452e+00\n", - "log(Z): -2.43061e+01, tol = 2.21791e+01, K = 1, iteration = 181, H = 3.07022e+00\n", - "log(Z): -2.42327e+01, tol = 2.21036e+01, K = 1, iteration = 182, H = 3.06287e+00\n", - "log(Z): -2.41590e+01, tol = 2.20280e+01, K = 1, iteration = 183, H = 3.05636e+00\n", - "log(Z): -2.40798e+01, tol = 2.19468e+01, K = 1, iteration = 184, H = 3.05551e+00\n", - "log(Z): -2.40024e+01, tol = 2.18673e+01, K = 1, iteration = 185, H = 3.05328e+00\n", - "log(Z): -2.39304e+01, tol = 2.17933e+01, K = 1, iteration = 186, H = 3.04640e+00\n", - "log(Z): -2.38621e+01, tol = 2.17231e+01, K = 1, iteration = 187, H = 3.03690e+00\n", - "log(Z): -2.37953e+01, tol = 2.16542e+01, K = 1, iteration = 188, H = 3.02706e+00\n", - "log(Z): -2.37279e+01, tol = 2.15849e+01, K = 1, iteration = 189, H = 3.01835e+00\n", - "log(Z): -2.36588e+01, tol = 2.15138e+01, K = 1, iteration = 190, H = 3.01186e+00\n", - "log(Z): -2.35920e+01, tol = 2.14450e+01, K = 1, iteration = 191, H = 3.00396e+00\n", - "log(Z): -2.35283e+01, tol = 2.13792e+01, K = 1, iteration = 192, H = 2.99410e+00\n", - "log(Z): -2.34645e+01, tol = 2.13134e+01, K = 1, iteration = 193, H = 2.98505e+00\n", - "log(Z): -2.33988e+01, tol = 2.12458e+01, K = 1, iteration = 194, H = 2.97823e+00\n", - "log(Z): -2.33364e+01, tol = 2.11814e+01, K = 1, iteration = 195, H = 2.96924e+00\n", - "log(Z): -2.32770e+01, tol = 2.11200e+01, K = 1, iteration = 196, H = 2.95845e+00\n", - "log(Z): -2.32197e+01, tol = 2.10606e+01, K = 1, iteration = 197, H = 2.94676e+00\n", - "log(Z): -2.31652e+01, tol = 2.10041e+01, K = 1, iteration = 198, H = 2.93367e+00\n", - "log(Z): -2.31095e+01, tol = 2.09465e+01, K = 1, iteration = 199, H = 2.92225e+00\n", - "log(Z): -2.30511e+01, tol = 2.08861e+01, K = 1, iteration = 200, H = 2.91379e+00\n", - "log(Z): -2.29921e+01, tol = 2.08251e+01, K = 1, iteration = 201, H = 2.90640e+00\n", - "log(Z): -2.29364e+01, tol = 2.07674e+01, K = 1, iteration = 202, H = 2.89685e+00\n", - "log(Z): -2.28815e+01, tol = 2.07105e+01, K = 1, iteration = 203, H = 2.88727e+00\n", - "log(Z): -2.28262e+01, tol = 2.06532e+01, K = 1, iteration = 204, H = 2.87858e+00\n", - "log(Z): -2.27718e+01, tol = 2.05967e+01, K = 1, iteration = 205, H = 2.86983e+00\n", - "log(Z): -2.27193e+01, tol = 2.05423e+01, K = 1, iteration = 206, H = 2.85999e+00\n", - "log(Z): -2.26687e+01, tol = 2.04896e+01, K = 1, iteration = 207, H = 2.84938e+00\n", - "log(Z): -2.26178e+01, tol = 2.04368e+01, K = 1, iteration = 208, H = 2.83951e+00\n", - "log(Z): -2.25694e+01, tol = 2.03863e+01, K = 1, iteration = 209, H = 2.82839e+00\n", - "log(Z): -2.25219e+01, tol = 2.03368e+01, K = 1, iteration = 210, H = 2.81717e+00\n", - "log(Z): -2.24751e+01, tol = 2.02880e+01, K = 1, iteration = 211, H = 2.80602e+00\n", - "log(Z): -2.24256e+01, tol = 2.02365e+01, K = 1, iteration = 212, H = 2.79761e+00\n", - "log(Z): -2.23770e+01, tol = 2.01859e+01, K = 1, iteration = 213, H = 2.78896e+00\n", - "log(Z): -2.23305e+01, tol = 2.01374e+01, K = 1, iteration = 214, H = 2.77917e+00\n", - "log(Z): -2.22841e+01, tol = 2.00891e+01, K = 1, iteration = 215, H = 2.76978e+00\n", - "log(Z): -2.22372e+01, tol = 2.00402e+01, K = 1, iteration = 216, H = 2.76137e+00\n", - "log(Z): -2.21911e+01, tol = 1.99921e+01, K = 1, iteration = 217, H = 2.75276e+00\n", - "log(Z): -2.21470e+01, tol = 1.99460e+01, K = 1, iteration = 218, H = 2.74305e+00\n", - "log(Z): -2.21005e+01, tol = 1.98975e+01, K = 1, iteration = 219, H = 2.73583e+00\n", - "log(Z): -2.20514e+01, tol = 1.98464e+01, K = 1, iteration = 220, H = 2.73119e+00\n", - "log(Z): -2.19993e+01, tol = 1.97923e+01, K = 1, iteration = 221, H = 2.72965e+00\n", - "log(Z): -2.19485e+01, tol = 1.97394e+01, K = 1, iteration = 222, H = 2.72715e+00\n", - "log(Z): -2.18974e+01, tol = 1.96863e+01, K = 1, iteration = 223, H = 2.72508e+00\n", - "log(Z): -2.18477e+01, tol = 1.96347e+01, K = 1, iteration = 224, H = 2.72184e+00\n", - "log(Z): -2.17980e+01, tol = 1.95829e+01, K = 1, iteration = 225, H = 2.71898e+00\n", - "log(Z): -2.17490e+01, tol = 1.95319e+01, K = 1, iteration = 226, H = 2.71567e+00\n", - "log(Z): -2.17003e+01, tol = 1.94813e+01, K = 1, iteration = 227, H = 2.71230e+00\n", - "log(Z): -2.16492e+01, tol = 1.94282e+01, K = 1, iteration = 228, H = 2.71145e+00\n", - "log(Z): -2.15998e+01, tol = 1.93768e+01, K = 1, iteration = 229, H = 2.70913e+00\n", - "log(Z): -2.15506e+01, tol = 1.93255e+01, K = 1, iteration = 230, H = 2.70689e+00\n", - "log(Z): -2.14987e+01, tol = 1.92717e+01, K = 1, iteration = 231, H = 2.70738e+00\n", - "log(Z): -2.14485e+01, tol = 1.92194e+01, K = 1, iteration = 232, H = 2.70635e+00\n", - "log(Z): -2.13996e+01, tol = 1.91686e+01, K = 1, iteration = 233, H = 2.70418e+00\n", - 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1.85824e+01, K = 1, iteration = 245, H = 2.67018e+00\n", - "log(Z): -2.07958e+01, tol = 1.85387e+01, K = 1, iteration = 246, H = 2.66440e+00\n", - "log(Z): -2.07548e+01, tol = 1.84958e+01, K = 1, iteration = 247, H = 2.65831e+00\n", - "log(Z): -2.07145e+01, tol = 1.84535e+01, K = 1, iteration = 248, H = 2.65197e+00\n", - "log(Z): -2.06731e+01, tol = 1.84101e+01, K = 1, iteration = 249, H = 2.64691e+00\n", - "log(Z): -2.06322e+01, tol = 1.83672e+01, K = 1, iteration = 250, H = 2.64170e+00\n", - "log(Z): -2.05928e+01, tol = 1.83258e+01, K = 1, iteration = 251, H = 2.63549e+00\n", - "log(Z): -2.05538e+01, tol = 1.82847e+01, K = 1, iteration = 252, H = 2.62934e+00\n", - "log(Z): -2.05150e+01, tol = 1.82440e+01, K = 1, iteration = 253, H = 2.62322e+00\n", - "log(Z): -2.04739e+01, tol = 1.82009e+01, K = 1, iteration = 254, H = 2.61947e+00\n", - "log(Z): -2.04285e+01, tol = 1.81535e+01, K = 1, iteration = 255, H = 2.62000e+00\n", - "log(Z): -2.03819e+01, tol = 1.81048e+01, K = 1, iteration = 256, H = 2.62184e+00\n", - "log(Z): -2.03307e+01, tol = 1.80516e+01, K = 1, iteration = 257, H = 2.62854e+00\n", - "log(Z): -2.02808e+01, tol = 1.79997e+01, K = 1, iteration = 258, H = 2.63352e+00\n", - "log(Z): -2.02293e+01, tol = 1.79462e+01, K = 1, iteration = 259, H = 2.64018e+00\n", - "log(Z): -2.01800e+01, tol = 1.78950e+01, K = 1, iteration = 260, H = 2.64414e+00\n", - "log(Z): -2.01206e+01, tol = 1.78336e+01, K = 1, iteration = 261, H = 2.65956e+00\n", - "log(Z): -2.00636e+01, tol = 1.77746e+01, K = 1, iteration = 262, H = 2.67138e+00\n", - "log(Z): -2.00082e+01, tol = 1.77171e+01, K = 1, iteration = 263, H = 2.68088e+00\n", - "log(Z): -1.99552e+01, tol = 1.76622e+01, K = 1, iteration = 264, H = 2.68715e+00\n", - "log(Z): -1.99046e+01, tol = 1.76095e+01, K = 1, iteration = 265, H = 2.69078e+00\n", - "log(Z): -1.98540e+01, tol = 1.75570e+01, K = 1, iteration = 266, H = 2.69424e+00\n", - "log(Z): -1.98040e+01, tol = 1.75050e+01, K = 1, iteration = 267, H = 2.69707e+00\n", - 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1.69385e+01, K = 1, iteration = 279, H = 2.68044e+00\n", - "log(Z): -1.92154e+01, tol = 1.68903e+01, K = 1, iteration = 280, H = 2.68124e+00\n", - "log(Z): -1.91710e+01, tol = 1.68439e+01, K = 1, iteration = 281, H = 2.68038e+00\n", - "log(Z): -1.91272e+01, tol = 1.67982e+01, K = 1, iteration = 282, H = 2.67899e+00\n", - "log(Z): -1.90843e+01, tol = 1.67533e+01, K = 1, iteration = 283, H = 2.67699e+00\n", - "log(Z): -1.90421e+01, tol = 1.67091e+01, K = 1, iteration = 284, H = 2.67446e+00\n", - "log(Z): -1.89996e+01, tol = 1.66645e+01, K = 1, iteration = 285, H = 2.67248e+00\n", - "log(Z): -1.89586e+01, tol = 1.66216e+01, K = 1, iteration = 286, H = 2.66916e+00\n", - "log(Z): -1.89156e+01, tol = 1.65766e+01, K = 1, iteration = 287, H = 2.66800e+00\n", - "log(Z): -1.88720e+01, tol = 1.65310e+01, K = 1, iteration = 288, H = 2.66750e+00\n", - "log(Z): -1.88296e+01, tol = 1.64865e+01, K = 1, iteration = 289, H = 2.66602e+00\n", - "log(Z): -1.87889e+01, tol = 1.64438e+01, K = 1, iteration = 290, H = 2.66306e+00\n", - "log(Z): -1.87471e+01, tol = 1.64001e+01, K = 1, iteration = 291, H = 2.66132e+00\n", - "log(Z): -1.87060e+01, tol = 1.63569e+01, K = 1, iteration = 292, H = 2.65910e+00\n", - "log(Z): -1.86647e+01, tol = 1.63136e+01, K = 1, iteration = 293, H = 2.65723e+00\n", - "log(Z): -1.86248e+01, tol = 1.62717e+01, K = 1, iteration = 294, H = 2.65420e+00\n", - "log(Z): -1.85865e+01, tol = 1.62314e+01, K = 1, iteration = 295, H = 2.64996e+00\n", - "log(Z): -1.85496e+01, tol = 1.61926e+01, K = 1, iteration = 296, H = 2.64472e+00\n", - "log(Z): -1.85117e+01, tol = 1.61527e+01, K = 1, iteration = 297, H = 2.64060e+00\n", - "log(Z): -1.84735e+01, tol = 1.61125e+01, K = 1, iteration = 298, H = 2.63703e+00\n", - "log(Z): -1.84361e+01, tol = 1.60731e+01, K = 1, iteration = 299, H = 2.63292e+00\n", - "log(Z): -1.83999e+01, tol = 1.60348e+01, K = 1, iteration = 300, H = 2.62806e+00\n", - "log(Z): -1.83642e+01, tol = 1.59971e+01, K = 1, iteration = 301, H = 2.62297e+00\n", - 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1.55271e+01, K = 1, iteration = 313, H = 2.59215e+00\n", - "log(Z): -1.78812e+01, tol = 1.54882e+01, K = 1, iteration = 314, H = 2.59039e+00\n", - "log(Z): -1.78456e+01, tol = 1.54505e+01, K = 1, iteration = 315, H = 2.58756e+00\n", - "log(Z): -1.78100e+01, tol = 1.54129e+01, K = 1, iteration = 316, H = 2.58483e+00\n", - "log(Z): -1.77746e+01, tol = 1.53756e+01, K = 1, iteration = 317, H = 2.58208e+00\n", - "log(Z): -1.77395e+01, tol = 1.53385e+01, K = 1, iteration = 318, H = 2.57924e+00\n", - "log(Z): -1.77054e+01, tol = 1.53024e+01, K = 1, iteration = 319, H = 2.57568e+00\n", - "log(Z): -1.76722e+01, tol = 1.52671e+01, K = 1, iteration = 320, H = 2.57155e+00\n", - "log(Z): -1.76396e+01, tol = 1.52326e+01, K = 1, iteration = 321, H = 2.56705e+00\n", - "log(Z): -1.76078e+01, tol = 1.51988e+01, K = 1, iteration = 322, H = 2.56213e+00\n", - "log(Z): -1.75766e+01, tol = 1.51655e+01, K = 1, iteration = 323, H = 2.55694e+00\n", - "log(Z): -1.75446e+01, tol = 1.51315e+01, K = 1, iteration = 324, H = 2.55263e+00\n", - "log(Z): -1.75116e+01, tol = 1.50966e+01, K = 1, iteration = 325, H = 2.54930e+00\n", - "log(Z): -1.74774e+01, tol = 1.50604e+01, K = 1, iteration = 326, H = 2.54730e+00\n", - "log(Z): -1.74407e+01, tol = 1.50216e+01, K = 1, iteration = 327, H = 2.54792e+00\n", - "log(Z): -1.74052e+01, tol = 1.49842e+01, K = 1, iteration = 328, H = 2.54728e+00\n", - "log(Z): -1.73689e+01, tol = 1.49459e+01, K = 1, iteration = 329, H = 2.54761e+00\n", - "log(Z): -1.73336e+01, tol = 1.49086e+01, K = 1, iteration = 330, H = 2.54699e+00\n", - "log(Z): -1.72995e+01, tol = 1.48724e+01, K = 1, iteration = 331, H = 2.54533e+00\n", - "log(Z): -1.72665e+01, tol = 1.48374e+01, K = 1, iteration = 332, H = 2.54278e+00\n", - "log(Z): -1.72342e+01, tol = 1.48032e+01, K = 1, iteration = 333, H = 2.53967e+00\n", - "log(Z): -1.72006e+01, tol = 1.47676e+01, K = 1, iteration = 334, H = 2.53799e+00\n", - "log(Z): -1.71680e+01, tol = 1.47329e+01, K = 1, iteration = 335, H = 2.53553e+00\n", - 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1.43322e+01, K = 1, iteration = 347, H = 2.50502e+00\n", - "log(Z): -1.67607e+01, tol = 1.42996e+01, K = 1, iteration = 348, H = 2.50247e+00\n", - "log(Z): -1.67304e+01, tol = 1.42674e+01, K = 1, iteration = 349, H = 2.49983e+00\n", - "log(Z): -1.66992e+01, tol = 1.42341e+01, K = 1, iteration = 350, H = 2.49822e+00\n", - "log(Z): -1.66686e+01, tol = 1.42016e+01, K = 1, iteration = 351, H = 2.49606e+00\n", - "log(Z): -1.66385e+01, tol = 1.41694e+01, K = 1, iteration = 352, H = 2.49371e+00\n", - "log(Z): -1.66084e+01, tol = 1.41373e+01, K = 1, iteration = 353, H = 2.49142e+00\n", - "log(Z): -1.65787e+01, tol = 1.41057e+01, K = 1, iteration = 354, H = 2.48885e+00\n", - "log(Z): -1.65492e+01, tol = 1.40741e+01, K = 1, iteration = 355, H = 2.48630e+00\n", - "log(Z): -1.65200e+01, tol = 1.40430e+01, K = 1, iteration = 356, H = 2.48357e+00\n", - "log(Z): -1.64911e+01, tol = 1.40121e+01, K = 1, iteration = 357, H = 2.48069e+00\n", - "log(Z): -1.64627e+01, tol = 1.39816e+01, K = 1, iteration = 358, H = 2.47758e+00\n", - "log(Z): -1.64314e+01, tol = 1.39483e+01, K = 1, iteration = 359, H = 2.47726e+00\n", - "log(Z): -1.64009e+01, tol = 1.39159e+01, K = 1, iteration = 360, H = 2.47621e+00\n", - "log(Z): -1.63711e+01, tol = 1.38840e+01, K = 1, iteration = 361, H = 2.47469e+00\n", - "log(Z): -1.63398e+01, tol = 1.38508e+01, K = 1, iteration = 362, H = 2.47458e+00\n", - "log(Z): -1.63094e+01, tol = 1.38184e+01, K = 1, iteration = 363, H = 2.47378e+00\n", - "log(Z): -1.62789e+01, tol = 1.37859e+01, K = 1, iteration = 364, H = 2.47308e+00\n", - "log(Z): -1.62468e+01, tol = 1.37518e+01, K = 1, iteration = 365, H = 2.47406e+00\n", - "log(Z): -1.62150e+01, tol = 1.37180e+01, K = 1, iteration = 366, H = 2.47481e+00\n", - "log(Z): -1.61839e+01, tol = 1.36849e+01, K = 1, iteration = 367, H = 2.47485e+00\n", - "log(Z): -1.61523e+01, tol = 1.36513e+01, K = 1, iteration = 368, H = 2.47550e+00\n", - "log(Z): -1.61209e+01, tol = 1.36179e+01, K = 1, iteration = 369, H = 2.47597e+00\n", - 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1.32005e+01, K = 1, iteration = 381, H = 2.49853e+00\n", - "log(Z): -1.56968e+01, tol = 1.31677e+01, K = 1, iteration = 382, H = 2.49850e+00\n", - "log(Z): -1.56662e+01, tol = 1.31351e+01, K = 1, iteration = 383, H = 2.49833e+00\n", - "log(Z): -1.56361e+01, tol = 1.31031e+01, K = 1, iteration = 384, H = 2.49767e+00\n", - "log(Z): -1.56070e+01, tol = 1.30720e+01, K = 1, iteration = 385, H = 2.49623e+00\n", - "log(Z): -1.55776e+01, tol = 1.30405e+01, K = 1, iteration = 386, H = 2.49516e+00\n", - "log(Z): -1.55490e+01, tol = 1.30099e+01, K = 1, iteration = 387, H = 2.49344e+00\n", - "log(Z): -1.55212e+01, tol = 1.29802e+01, K = 1, iteration = 388, H = 2.49104e+00\n", - "log(Z): -1.54925e+01, tol = 1.29495e+01, K = 1, iteration = 389, H = 2.48957e+00\n", - "log(Z): -1.54646e+01, tol = 1.29196e+01, K = 1, iteration = 390, H = 2.48753e+00\n", - "log(Z): -1.54369e+01, tol = 1.28899e+01, K = 1, iteration = 391, H = 2.48538e+00\n", - "log(Z): -1.54088e+01, tol = 1.28598e+01, K = 1, iteration = 392, H = 2.48372e+00\n", - "log(Z): -1.53813e+01, tol = 1.28303e+01, K = 1, iteration = 393, H = 2.48160e+00\n", - "log(Z): -1.53545e+01, tol = 1.28015e+01, K = 1, iteration = 394, H = 2.47901e+00\n", - "log(Z): -1.53281e+01, tol = 1.27730e+01, K = 1, iteration = 395, H = 2.47617e+00\n", - "log(Z): -1.53023e+01, tol = 1.27453e+01, K = 1, iteration = 396, H = 2.47289e+00\n", - "log(Z): -1.52768e+01, tol = 1.27178e+01, K = 1, iteration = 397, H = 2.46947e+00\n", - "log(Z): -1.52513e+01, tol = 1.26903e+01, K = 1, iteration = 398, H = 2.46623e+00\n", - "log(Z): -1.52262e+01, tol = 1.26632e+01, K = 1, iteration = 399, H = 2.46279e+00\n", - "log(Z): -1.52018e+01, tol = 1.26367e+01, K = 1, iteration = 400, H = 2.45892e+00\n", - "log(Z): -1.51775e+01, tol = 1.26104e+01, K = 1, iteration = 401, H = 2.45506e+00\n", - "log(Z): -1.51535e+01, tol = 1.25844e+01, K = 1, iteration = 402, H = 2.45110e+00\n", - "log(Z): -1.51280e+01, tol = 1.25570e+01, K = 1, iteration = 403, H = 2.44850e+00\n", - 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1.22335e+01, K = 1, iteration = 415, H = 2.42094e+00\n", - "log(Z): -1.48035e+01, tol = 1.22065e+01, K = 1, iteration = 416, H = 2.41940e+00\n", - "log(Z): -1.47788e+01, tol = 1.21797e+01, K = 1, iteration = 417, H = 2.41769e+00\n", - "log(Z): -1.47541e+01, tol = 1.21531e+01, K = 1, iteration = 418, H = 2.41593e+00\n", - "log(Z): -1.47295e+01, tol = 1.21265e+01, K = 1, iteration = 419, H = 2.41425e+00\n", - "log(Z): -1.47051e+01, tol = 1.21000e+01, K = 1, iteration = 420, H = 2.41252e+00\n", - "log(Z): -1.46807e+01, tol = 1.20737e+01, K = 1, iteration = 421, H = 2.41076e+00\n", - "log(Z): -1.46551e+01, tol = 1.20461e+01, K = 1, iteration = 422, H = 2.41031e+00\n", - "log(Z): -1.46302e+01, tol = 1.20191e+01, K = 1, iteration = 423, H = 2.40928e+00\n", - "log(Z): -1.46050e+01, tol = 1.19920e+01, K = 1, iteration = 424, H = 2.40854e+00\n", - "log(Z): -1.45802e+01, tol = 1.19652e+01, K = 1, iteration = 425, H = 2.40750e+00\n", - "log(Z): -1.45558e+01, tol = 1.19388e+01, K = 1, iteration = 426, H = 2.40618e+00\n", - "log(Z): -1.45317e+01, tol = 1.19127e+01, K = 1, iteration = 427, H = 2.40468e+00\n", - "log(Z): -1.45076e+01, tol = 1.18866e+01, K = 1, iteration = 428, H = 2.40323e+00\n", - "log(Z): -1.44835e+01, tol = 1.18605e+01, K = 1, iteration = 429, H = 2.40187e+00\n", - "log(Z): -1.44598e+01, tol = 1.18348e+01, K = 1, iteration = 430, H = 2.40020e+00\n", - "log(Z): -1.44362e+01, tol = 1.18092e+01, K = 1, iteration = 431, H = 2.39852e+00\n", - "log(Z): -1.44129e+01, tol = 1.17839e+01, K = 1, iteration = 432, H = 2.39669e+00\n", - "log(Z): -1.43895e+01, tol = 1.17585e+01, K = 1, iteration = 433, H = 2.39504e+00\n", - "log(Z): -1.43663e+01, tol = 1.17332e+01, K = 1, iteration = 434, H = 2.39331e+00\n", - "log(Z): -1.43431e+01, tol = 1.17080e+01, K = 1, iteration = 435, H = 2.39163e+00\n", - "log(Z): -1.43182e+01, tol = 1.16812e+01, K = 1, iteration = 436, H = 2.39162e+00\n", - "log(Z): -1.42937e+01, tol = 1.16547e+01, K = 1, iteration = 437, H = 2.39129e+00\n", - 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1.13539e+01, K = 1, iteration = 449, H = 2.37644e+00\n", - "log(Z): -1.39949e+01, tol = 1.13299e+01, K = 1, iteration = 450, H = 2.37474e+00\n", - "log(Z): -1.39724e+01, tol = 1.13054e+01, K = 1, iteration = 451, H = 2.37352e+00\n", - "log(Z): -1.39493e+01, tol = 1.12803e+01, K = 1, iteration = 452, H = 2.37298e+00\n", - "log(Z): -1.39263e+01, tol = 1.12553e+01, K = 1, iteration = 453, H = 2.37240e+00\n", - "log(Z): -1.39036e+01, tol = 1.12306e+01, K = 1, iteration = 454, H = 2.37160e+00\n", - "log(Z): -1.38813e+01, tol = 1.12062e+01, K = 1, iteration = 455, H = 2.37052e+00\n", - "log(Z): -1.38590e+01, tol = 1.11820e+01, K = 1, iteration = 456, H = 2.36941e+00\n", - "log(Z): -1.38372e+01, tol = 1.11582e+01, K = 1, iteration = 457, H = 2.36798e+00\n", - "log(Z): -1.38156e+01, tol = 1.11345e+01, K = 1, iteration = 458, H = 2.36643e+00\n", - "log(Z): -1.37937e+01, tol = 1.11107e+01, K = 1, iteration = 459, H = 2.36520e+00\n", - "log(Z): -1.37717e+01, tol = 1.10867e+01, K = 1, iteration = 460, H = 2.36414e+00\n", - "log(Z): -1.37499e+01, tol = 1.10629e+01, K = 1, iteration = 461, H = 2.36296e+00\n", - "log(Z): -1.37276e+01, tol = 1.10385e+01, K = 1, iteration = 462, H = 2.36236e+00\n", - "log(Z): -1.37050e+01, tol = 1.10140e+01, K = 1, iteration = 463, H = 2.36201e+00\n", - "log(Z): -1.36823e+01, tol = 1.09893e+01, K = 1, iteration = 464, H = 2.36190e+00\n", - "log(Z): -1.36598e+01, tol = 1.09648e+01, K = 1, iteration = 465, H = 2.36162e+00\n", - "log(Z): -1.36376e+01, tol = 1.09406e+01, K = 1, iteration = 466, H = 2.36110e+00\n", - "log(Z): -1.36156e+01, tol = 1.09165e+01, K = 1, iteration = 467, H = 2.36049e+00\n", - "log(Z): -1.35939e+01, tol = 1.08929e+01, K = 1, iteration = 468, H = 2.35954e+00\n", - "log(Z): -1.35724e+01, tol = 1.08694e+01, K = 1, iteration = 469, H = 2.35856e+00\n", - "log(Z): -1.35512e+01, tol = 1.08462e+01, K = 1, iteration = 470, H = 2.35731e+00\n", - "log(Z): -1.35303e+01, tol = 1.08233e+01, K = 1, iteration = 471, H = 2.35586e+00\n", - "log(Z): -1.35085e+01, tol = 1.07995e+01, K = 1, iteration = 472, H = 2.35535e+00\n", - "log(Z): -1.34868e+01, tol = 1.07758e+01, K = 1, iteration = 473, H = 2.35482e+00\n", - "log(Z): -1.34655e+01, tol = 1.07525e+01, K = 1, iteration = 474, H = 2.35391e+00\n", - "log(Z): -1.34445e+01, tol = 1.07295e+01, K = 1, iteration = 475, H = 2.35276e+00\n", - "log(Z): -1.34240e+01, tol = 1.07070e+01, K = 1, iteration = 476, H = 2.35131e+00\n", - "log(Z): -1.34038e+01, tol = 1.06848e+01, K = 1, iteration = 477, H = 2.34953e+00\n", - "log(Z): -1.33831e+01, tol = 1.06621e+01, K = 1, iteration = 478, H = 2.34838e+00\n", - "log(Z): -1.33625e+01, tol = 1.06395e+01, K = 1, iteration = 479, H = 2.34714e+00\n", - "log(Z): -1.33420e+01, tol = 1.06170e+01, K = 1, iteration = 480, H = 2.34592e+00\n", - "log(Z): -1.33216e+01, tol = 1.05946e+01, K = 1, iteration = 481, H = 2.34470e+00\n", - "log(Z): -1.33015e+01, tol = 1.05725e+01, K = 1, iteration = 482, H = 2.34320e+00\n", - "log(Z): -1.32810e+01, tol = 1.05499e+01, K = 1, iteration = 483, H = 2.34222e+00\n", - "log(Z): -1.32607e+01, tol = 1.05276e+01, K = 1, iteration = 484, H = 2.34106e+00\n", - "log(Z): -1.32407e+01, tol = 1.05056e+01, K = 1, iteration = 485, H = 2.33967e+00\n", - "log(Z): -1.32207e+01, tol = 1.04837e+01, K = 1, iteration = 486, H = 2.33836e+00\n", - "log(Z): -1.32007e+01, tol = 1.04616e+01, K = 1, iteration = 487, H = 2.33713e+00\n", - "log(Z): -1.31808e+01, tol = 1.04398e+01, K = 1, iteration = 488, H = 2.33583e+00\n", - "log(Z): -1.31611e+01, tol = 1.04181e+01, K = 1, iteration = 489, H = 2.33441e+00\n", - "log(Z): -1.31414e+01, tol = 1.03964e+01, K = 1, iteration = 490, H = 2.33312e+00\n", - "log(Z): -1.31219e+01, tol = 1.03749e+01, K = 1, iteration = 491, H = 2.33166e+00\n", - "log(Z): -1.31022e+01, tol = 1.03532e+01, K = 1, iteration = 492, H = 2.33042e+00\n", - "log(Z): -1.30829e+01, tol = 1.03319e+01, K = 1, iteration = 493, H = 2.32896e+00\n", - "log(Z): -1.30636e+01, tol = 1.03106e+01, K = 1, iteration = 494, H = 2.32752e+00\n", - "log(Z): -1.30445e+01, tol = 1.02895e+01, K = 1, iteration = 495, H = 2.32599e+00\n", - "log(Z): -1.30253e+01, tol = 1.02683e+01, K = 1, iteration = 496, H = 2.32456e+00\n", - "log(Z): -1.30055e+01, tol = 1.02465e+01, K = 1, iteration = 497, H = 2.32379e+00\n", - "log(Z): -1.29860e+01, tol = 1.02250e+01, K = 1, iteration = 498, H = 2.32283e+00\n", - "log(Z): -1.29669e+01, tol = 1.02039e+01, K = 1, iteration = 499, H = 2.32155e+00\n", - "log(Z): -1.29478e+01, tol = 1.01828e+01, K = 1, iteration = 500, H = 2.32025e+00\n", - "log(Z): -1.29286e+01, tol = 1.01616e+01, K = 1, iteration = 501, H = 2.31918e+00\n", - "log(Z): -1.29097e+01, tol = 1.01407e+01, K = 1, iteration = 502, H = 2.31783e+00\n", - "log(Z): -1.28903e+01, tol = 1.01193e+01, K = 1, iteration = 503, H = 2.31711e+00\n", - "log(Z): -1.28712e+01, tol = 1.00982e+01, K = 1, iteration = 504, H = 2.31609e+00\n", - "log(Z): -1.28524e+01, tol = 1.00774e+01, K = 1, iteration = 505, H = 2.31483e+00\n", - "log(Z): -1.28338e+01, tol = 1.00568e+01, K = 1, iteration = 506, H = 2.31349e+00\n", - "log(Z): -1.28142e+01, tol = 1.00352e+01, K = 1, iteration = 507, H = 2.31307e+00\n", - "log(Z): -1.27948e+01, tol = 1.00138e+01, K = 1, iteration = 508, H = 2.31261e+00\n", - "log(Z): -1.27757e+01, tol = 9.99270e+00, K = 1, iteration = 509, H = 2.31187e+00\n", - "log(Z): -1.27568e+01, tol = 9.97184e+00, K = 1, iteration = 510, H = 2.31096e+00\n", - "log(Z): -1.27382e+01, tol = 9.95116e+00, K = 1, iteration = 511, H = 2.30993e+00\n", - "log(Z): -1.27196e+01, tol = 9.93059e+00, K = 1, iteration = 512, H = 2.30885e+00\n", - "log(Z): -1.27011e+01, tol = 9.91010e+00, K = 1, iteration = 513, H = 2.30776e+00\n", - "log(Z): -1.26825e+01, tol = 9.88948e+00, K = 1, iteration = 514, H = 2.30684e+00\n", - "log(Z): -1.26642e+01, tol = 9.86918e+00, K = 1, iteration = 515, H = 2.30568e+00\n", - "log(Z): -1.26455e+01, tol = 9.84852e+00, K = 1, iteration = 516, H = 2.30491e+00\n", - "log(Z): -1.26268e+01, tol = 9.82782e+00, K = 1, iteration = 517, H = 2.30423e+00\n", - "log(Z): -1.26083e+01, tol = 9.80726e+00, K = 1, iteration = 518, H = 2.30347e+00\n", - "log(Z): -1.25896e+01, tol = 9.78663e+00, K = 1, iteration = 519, H = 2.30284e+00\n", - "log(Z): -1.25711e+01, tol = 9.76616e+00, K = 1, iteration = 520, H = 2.30209e+00\n", - "log(Z): -1.25525e+01, tol = 9.74556e+00, K = 1, iteration = 521, H = 2.30151e+00\n", - "log(Z): -1.25343e+01, tol = 9.72530e+00, K = 1, iteration = 522, H = 2.30067e+00\n", - "log(Z): -1.25161e+01, tol = 9.70516e+00, K = 1, iteration = 523, H = 2.29976e+00\n", - "log(Z): -1.24982e+01, tol = 9.68521e+00, K = 1, iteration = 524, H = 2.29872e+00\n", - "log(Z): -1.24796e+01, tol = 9.66467e+00, K = 1, iteration = 525, H = 2.29830e+00\n", - "log(Z): -1.24614e+01, tol = 9.64438e+00, K = 1, iteration = 526, H = 2.29769e+00\n", - "log(Z): -1.24434e+01, tol = 9.62439e+00, K = 1, iteration = 527, H = 2.29682e+00\n", - "log(Z): -1.24256e+01, tol = 9.60464e+00, K = 1, iteration = 528, H = 2.29580e+00\n", - "log(Z): -1.24078e+01, tol = 9.58482e+00, K = 1, iteration = 529, H = 2.29489e+00\n", - "log(Z): -1.23903e+01, tol = 9.56531e+00, K = 1, iteration = 530, H = 2.29374e+00\n", - "log(Z): -1.23728e+01, tol = 9.54579e+00, K = 1, iteration = 531, H = 2.29265e+00\n", - "log(Z): -1.23555e+01, tol = 9.52658e+00, K = 1, iteration = 532, H = 2.29134e+00\n", - "log(Z): -1.23386e+01, tol = 9.50764e+00, K = 1, iteration = 533, H = 2.28983e+00\n", - "log(Z): -1.23218e+01, tol = 9.48885e+00, K = 1, iteration = 534, H = 2.28824e+00\n", - "log(Z): -1.23051e+01, tol = 9.47009e+00, K = 1, iteration = 535, H = 2.28669e+00\n", - "log(Z): -1.22885e+01, tol = 9.45151e+00, K = 1, iteration = 536, H = 2.28504e+00\n", - "log(Z): -1.22713e+01, tol = 9.43236e+00, K = 1, iteration = 537, H = 2.28397e+00\n", - "log(Z): -1.22539e+01, tol = 9.41293e+00, K = 1, iteration = 538, H = 2.28321e+00\n", - "log(Z): -1.22365e+01, tol = 9.39358e+00, K = 1, iteration = 539, H = 2.28242e+00\n", - "log(Z): -1.22194e+01, tol = 9.37441e+00, K = 1, iteration = 540, H = 2.28152e+00\n", - "log(Z): -1.22023e+01, tol = 9.35538e+00, K = 1, iteration = 541, H = 2.28053e+00\n", - "log(Z): -1.21853e+01, tol = 9.33639e+00, K = 1, iteration = 542, H = 2.27955e+00\n", - "log(Z): -1.21676e+01, tol = 9.31664e+00, K = 1, iteration = 543, H = 2.27935e+00\n", - "log(Z): -1.21501e+01, tol = 9.29710e+00, K = 1, iteration = 544, H = 2.27899e+00\n", - "log(Z): -1.21328e+01, tol = 9.27781e+00, K = 1, iteration = 545, H = 2.27842e+00\n", - "log(Z): -1.21158e+01, tol = 9.25883e+00, K = 1, iteration = 546, H = 2.27761e+00\n", - "log(Z): -1.20990e+01, tol = 9.24002e+00, K = 1, iteration = 547, H = 2.27668e+00\n", - "log(Z): -1.20824e+01, tol = 9.22150e+00, K = 1, iteration = 548, H = 2.27553e+00\n", - "log(Z): -1.20655e+01, tol = 9.20251e+00, K = 1, iteration = 549, H = 2.27487e+00\n", - "log(Z): -1.20486e+01, tol = 9.18366e+00, K = 1, iteration = 550, H = 2.27412e+00\n", - "log(Z): -1.20320e+01, tol = 9.16511e+00, K = 1, iteration = 551, H = 2.27314e+00\n", - "log(Z): -1.20156e+01, tol = 9.14671e+00, K = 1, iteration = 552, H = 2.27207e+00\n", - "log(Z): -1.19995e+01, tol = 9.12861e+00, K = 1, iteration = 553, H = 2.27078e+00\n", - "log(Z): -1.19835e+01, tol = 9.11052e+00, K = 1, iteration = 554, H = 2.26952e+00\n", - "log(Z): -1.19674e+01, tol = 9.09247e+00, K = 1, iteration = 555, H = 2.26828e+00\n", - "log(Z): -1.19516e+01, tol = 9.07466e+00, K = 1, iteration = 556, H = 2.26687e+00\n", - "log(Z): -1.19357e+01, tol = 9.05675e+00, K = 1, iteration = 557, H = 2.26561e+00\n", - "log(Z): -1.19199e+01, tol = 9.03901e+00, K = 1, iteration = 558, H = 2.26425e+00\n", - "log(Z): -1.19043e+01, tol = 9.02141e+00, K = 1, iteration = 559, H = 2.26281e+00\n", - "log(Z): -1.18889e+01, tol = 9.00402e+00, K = 1, iteration = 560, H = 2.26123e+00\n", - "log(Z): -1.18736e+01, tol = 8.98673e+00, K = 1, iteration = 561, H = 2.25962e+00\n", - "log(Z): -1.18586e+01, tol = 8.96966e+00, K = 1, iteration = 562, H = 2.25787e+00\n", - "log(Z): -1.18436e+01, tol = 8.95273e+00, K = 1, iteration = 563, H = 2.25606e+00\n", - "log(Z): -1.18287e+01, tol = 8.93575e+00, K = 1, iteration = 564, H = 2.25435e+00\n", - "log(Z): -1.18135e+01, tol = 8.91856e+00, K = 1, iteration = 565, H = 2.25287e+00\n", - "log(Z): -1.17982e+01, tol = 8.90129e+00, K = 1, iteration = 566, H = 2.25153e+00\n", - "log(Z): -1.17831e+01, tol = 8.88420e+00, K = 1, iteration = 567, H = 2.25007e+00\n", - "log(Z): -1.17681e+01, tol = 8.86719e+00, K = 1, iteration = 568, H = 2.24858e+00\n", - "log(Z): -1.17532e+01, tol = 8.85033e+00, K = 1, iteration = 569, H = 2.24702e+00\n", - "log(Z): -1.17386e+01, tol = 8.83370e+00, K = 1, iteration = 570, H = 2.24530e+00\n", - "log(Z): -1.17239e+01, tol = 8.81698e+00, K = 1, iteration = 571, H = 2.24373e+00\n", - "log(Z): -1.17093e+01, tol = 8.80037e+00, K = 1, iteration = 572, H = 2.24210e+00\n", - "log(Z): -1.16948e+01, tol = 8.78392e+00, K = 1, iteration = 573, H = 2.24038e+00\n", - "log(Z): -1.16806e+01, tol = 8.76771e+00, K = 1, iteration = 574, H = 2.23852e+00\n", - "log(Z): -1.16664e+01, tol = 8.75156e+00, K = 1, iteration = 575, H = 2.23666e+00\n", - "log(Z): -1.16513e+01, tol = 8.73442e+00, K = 1, iteration = 576, H = 2.23573e+00\n", - "log(Z): -1.16361e+01, tol = 8.71721e+00, K = 1, iteration = 577, H = 2.23492e+00\n", - "log(Z): -1.16210e+01, tol = 8.70009e+00, K = 1, iteration = 578, H = 2.23407e+00\n", - "log(Z): -1.16058e+01, tol = 8.68290e+00, K = 1, iteration = 579, H = 2.23332e+00\n", - "log(Z): -1.15908e+01, tol = 8.66594e+00, K = 1, iteration = 580, H = 2.23240e+00\n", - "log(Z): -1.15759e+01, tol = 8.64904e+00, K = 1, iteration = 581, H = 2.23147e+00\n", - "log(Z): -1.15611e+01, tol = 8.63228e+00, K = 1, iteration = 582, H = 2.23045e+00\n", - "log(Z): -1.15465e+01, tol = 8.61566e+00, K = 1, iteration = 583, H = 2.22934e+00\n", - "log(Z): -1.15316e+01, tol = 8.59877e+00, K = 1, iteration = 584, H = 2.22854e+00\n", - "log(Z): -1.15168e+01, tol = 8.58196e+00, K = 1, iteration = 585, H = 2.22770e+00\n", - "log(Z): -1.15018e+01, tol = 8.56492e+00, K = 1, iteration = 586, H = 2.22712e+00\n", - "log(Z): -1.14869e+01, tol = 8.54803e+00, K = 1, iteration = 587, H = 2.22643e+00\n", - "log(Z): -1.14721e+01, tol = 8.53123e+00, K = 1, iteration = 588, H = 2.22570e+00\n", - "log(Z): -1.14574e+01, tol = 8.51457e+00, K = 1, iteration = 589, H = 2.22488e+00\n", - "log(Z): -1.14428e+01, tol = 8.49796e+00, K = 1, iteration = 590, H = 2.22405e+00\n", - "log(Z): -1.14281e+01, tol = 8.48124e+00, K = 1, iteration = 591, H = 2.22337e+00\n", - "log(Z): -1.14135e+01, tol = 8.46463e+00, K = 1, iteration = 592, H = 2.22262e+00\n", - "log(Z): -1.13991e+01, tol = 8.44822e+00, K = 1, iteration = 593, H = 2.22172e+00\n", - "log(Z): -1.13847e+01, tol = 8.43191e+00, K = 1, iteration = 594, H = 2.22078e+00\n", - "log(Z): -1.13706e+01, tol = 8.41579e+00, K = 1, iteration = 595, H = 2.21970e+00\n", - "log(Z): -1.13562e+01, tol = 8.39934e+00, K = 1, iteration = 596, H = 2.21896e+00\n", - "log(Z): -1.13419e+01, tol = 8.38305e+00, K = 1, iteration = 597, H = 2.21812e+00\n", - "log(Z): -1.13276e+01, tol = 8.36683e+00, K = 1, iteration = 598, H = 2.21725e+00\n", - "log(Z): -1.13136e+01, tol = 8.35082e+00, K = 1, iteration = 599, H = 2.21624e+00\n", - "log(Z): -1.12997e+01, tol = 8.33489e+00, K = 1, iteration = 600, H = 2.21518e+00\n", - "log(Z): -1.12859e+01, tol = 8.31908e+00, K = 1, iteration = 601, H = 2.21406e+00\n", - "log(Z): -1.12720e+01, tol = 8.30325e+00, K = 1, iteration = 602, H = 2.21301e+00\n", - "log(Z): -1.12584e+01, tol = 8.28761e+00, K = 1, iteration = 603, H = 2.21181e+00\n", - "log(Z): -1.12450e+01, tol = 8.27218e+00, K = 1, iteration = 604, H = 2.21048e+00\n", - "log(Z): -1.12316e+01, tol = 8.25686e+00, K = 1, iteration = 605, H = 2.20908e+00\n", - "log(Z): -1.12185e+01, tol = 8.24171e+00, K = 1, iteration = 606, H = 2.20759e+00\n", - "log(Z): -1.12055e+01, tol = 8.22668e+00, K = 1, iteration = 607, H = 2.20603e+00\n", - "log(Z): -1.11924e+01, tol = 8.21168e+00, K = 1, iteration = 608, H = 2.20450e+00\n", - "log(Z): -1.11795e+01, tol = 8.19678e+00, K = 1, iteration = 609, H = 2.20292e+00\n", - "log(Z): -1.11664e+01, tol = 8.18168e+00, K = 1, iteration = 610, H = 2.20156e+00\n", - "log(Z): -1.11534e+01, tol = 8.16662e+00, K = 1, iteration = 611, H = 2.20021e+00\n", - "log(Z): -1.11403e+01, tol = 8.15153e+00, K = 1, iteration = 612, H = 2.19894e+00\n", - "log(Z): -1.11272e+01, tol = 8.13645e+00, K = 1, iteration = 613, H = 2.19769e+00\n", - "log(Z): -1.11142e+01, tol = 8.12143e+00, K = 1, iteration = 614, H = 2.19644e+00\n", - "log(Z): -1.11013e+01, tol = 8.10658e+00, K = 1, iteration = 615, H = 2.19507e+00\n", - "log(Z): -1.10885e+01, tol = 8.09174e+00, K = 1, iteration = 616, H = 2.19374e+00\n", - "log(Z): -1.10758e+01, tol = 8.07707e+00, K = 1, iteration = 617, H = 2.19230e+00\n", - "log(Z): -1.10631e+01, tol = 8.06240e+00, K = 1, iteration = 618, H = 2.19090e+00\n", - "log(Z): -1.10502e+01, tol = 8.04751e+00, K = 1, iteration = 619, H = 2.18975e+00\n", - "log(Z): -1.10375e+01, tol = 8.03275e+00, K = 1, iteration = 620, H = 2.18852e+00\n", - "log(Z): -1.10249e+01, tol = 8.01817e+00, K = 1, iteration = 621, H = 2.18717e+00\n", - "log(Z): -1.10124e+01, tol = 8.00369e+00, K = 1, iteration = 622, H = 2.18576e+00\n", - "log(Z): -1.10000e+01, tol = 7.98932e+00, K = 1, iteration = 623, H = 2.18431e+00\n", - "log(Z): -1.09876e+01, tol = 7.97491e+00, K = 1, iteration = 624, H = 2.18294e+00\n", - "log(Z): -1.09753e+01, tol = 7.96063e+00, K = 1, iteration = 625, H = 2.18148e+00\n", - "log(Z): -1.09631e+01, tol = 7.94642e+00, K = 1, iteration = 626, H = 2.18002e+00\n", - "log(Z): -1.09509e+01, tol = 7.93223e+00, K = 1, iteration = 627, H = 2.17857e+00\n", - "log(Z): -1.09389e+01, tol = 7.91818e+00, K = 1, iteration = 628, H = 2.17704e+00\n", - "log(Z): -1.09269e+01, tol = 7.90420e+00, K = 1, iteration = 629, H = 2.17550e+00\n", - "log(Z): -1.09150e+01, tol = 7.89032e+00, K = 1, iteration = 630, H = 2.17391e+00\n", - "log(Z): -1.09031e+01, tol = 7.87644e+00, K = 1, iteration = 631, H = 2.17237e+00\n", - "log(Z): -1.08913e+01, tol = 7.86260e+00, K = 1, iteration = 632, H = 2.17084e+00\n", - "log(Z): -1.08795e+01, tol = 7.84889e+00, K = 1, iteration = 633, H = 2.16923e+00\n", - "log(Z): -1.08679e+01, tol = 7.83527e+00, K = 1, iteration = 634, H = 2.16758e+00\n", - "log(Z): -1.08564e+01, tol = 7.82180e+00, K = 1, iteration = 635, H = 2.16585e+00\n", - "log(Z): -1.08449e+01, tol = 7.80823e+00, K = 1, iteration = 636, H = 2.16425e+00\n", - "log(Z): -1.08332e+01, tol = 7.79461e+00, K = 1, iteration = 637, H = 2.16273e+00\n", - "log(Z): -1.08218e+01, tol = 7.78114e+00, K = 1, iteration = 638, H = 2.16113e+00\n", - "log(Z): -1.08100e+01, tol = 7.76740e+00, K = 1, iteration = 639, H = 2.15980e+00\n", - "log(Z): -1.07983e+01, tol = 7.75368e+00, K = 1, iteration = 640, H = 2.15849e+00\n", - "log(Z): -1.07867e+01, tol = 7.74007e+00, K = 1, iteration = 641, H = 2.15712e+00\n", - "log(Z): -1.07751e+01, tol = 7.72654e+00, K = 1, iteration = 642, H = 2.15573e+00\n", - "log(Z): -1.07635e+01, tol = 7.71287e+00, K = 1, iteration = 643, H = 2.15449e+00\n", - "log(Z): -1.07519e+01, tol = 7.69926e+00, K = 1, iteration = 644, H = 2.15324e+00\n", - "log(Z): -1.07402e+01, tol = 7.68564e+00, K = 1, iteration = 645, H = 2.15204e+00\n", - "log(Z): -1.07287e+01, tol = 7.67213e+00, K = 1, iteration = 646, H = 2.15078e+00\n", - "log(Z): -1.07172e+01, tol = 7.65863e+00, K = 1, iteration = 647, H = 2.14954e+00\n", - "log(Z): -1.07057e+01, tol = 7.64512e+00, K = 1, iteration = 648, H = 2.14835e+00\n", - "log(Z): -1.06943e+01, tol = 7.63172e+00, K = 1, iteration = 649, H = 2.14710e+00\n", - "log(Z): -1.06830e+01, tol = 7.61847e+00, K = 1, iteration = 650, H = 2.14576e+00\n", - "log(Z): -1.06719e+01, tol = 7.60531e+00, K = 1, iteration = 651, H = 2.14437e+00\n", - "log(Z): -1.06607e+01, tol = 7.59220e+00, K = 1, iteration = 652, H = 2.14298e+00\n", - "log(Z): -1.06497e+01, tol = 7.57921e+00, K = 1, iteration = 653, H = 2.14151e+00\n", - "log(Z): -1.06388e+01, tol = 7.56631e+00, K = 1, iteration = 654, H = 2.14001e+00\n", - "log(Z): -1.06280e+01, tol = 7.55352e+00, K = 1, iteration = 655, H = 2.13846e+00\n", - "log(Z): -1.06174e+01, tol = 7.54085e+00, K = 1, iteration = 656, H = 2.13683e+00\n", - "log(Z): -1.06068e+01, tol = 7.52831e+00, K = 1, iteration = 657, H = 2.13514e+00\n", - "log(Z): -1.05964e+01, tol = 7.51586e+00, K = 1, iteration = 658, H = 2.13342e+00\n", - "log(Z): -1.05857e+01, tol = 7.50322e+00, K = 1, iteration = 659, H = 2.13189e+00\n", - "log(Z): -1.05746e+01, tol = 7.49016e+00, K = 1, iteration = 660, H = 2.13076e+00\n", - "log(Z): -1.05637e+01, tol = 7.47721e+00, K = 1, iteration = 661, H = 2.12957e+00\n", - "log(Z): -1.05523e+01, tol = 7.46379e+00, K = 1, iteration = 662, H = 2.12886e+00\n", - "log(Z): -1.05409e+01, tol = 7.45046e+00, K = 1, iteration = 663, H = 2.12808e+00\n", - "log(Z): -1.05297e+01, tol = 7.43725e+00, K = 1, iteration = 664, H = 2.12722e+00\n", - "log(Z): -1.05184e+01, tol = 7.42399e+00, K = 1, iteration = 665, H = 2.12644e+00\n", - "log(Z): -1.05073e+01, tol = 7.41087e+00, K = 1, iteration = 666, H = 2.12556e+00\n", - "log(Z): -1.04963e+01, tol = 7.39790e+00, K = 1, iteration = 667, H = 2.12459e+00\n", - "log(Z): -1.04854e+01, tol = 7.38502e+00, K = 1, iteration = 668, H = 2.12356e+00\n", - "log(Z): -1.04747e+01, tol = 7.37226e+00, K = 1, iteration = 669, H = 2.12245e+00\n", - "log(Z): -1.04638e+01, tol = 7.35943e+00, K = 1, iteration = 670, H = 2.12145e+00\n", - "log(Z): -1.04530e+01, tol = 7.34661e+00, K = 1, iteration = 671, H = 2.12046e+00\n", - "log(Z): -1.04419e+01, tol = 7.33349e+00, K = 1, iteration = 672, H = 2.11978e+00\n", - "log(Z): -1.04309e+01, tol = 7.32051e+00, K = 1, iteration = 673, H = 2.11901e+00\n", - "log(Z): -1.04200e+01, tol = 7.30759e+00, K = 1, iteration = 674, H = 2.11820e+00\n", - "log(Z): -1.04090e+01, tol = 7.29469e+00, K = 1, iteration = 675, H = 2.11742e+00\n", - "log(Z): -1.03980e+01, tol = 7.28160e+00, K = 1, iteration = 676, H = 2.11683e+00\n", - "log(Z): -1.03870e+01, tol = 7.26864e+00, K = 1, iteration = 677, H = 2.11616e+00\n", - "log(Z): -1.03759e+01, tol = 7.25554e+00, K = 1, iteration = 678, H = 2.11564e+00\n", - "log(Z): -1.03648e+01, tol = 7.24248e+00, K = 1, iteration = 679, H = 2.11512e+00\n", - "log(Z): -1.03539e+01, tol = 7.22955e+00, K = 1, iteration = 680, H = 2.11450e+00\n", - "log(Z): -1.03431e+01, tol = 7.21676e+00, K = 1, iteration = 681, H = 2.11378e+00\n", - "log(Z): -1.03324e+01, tol = 7.20409e+00, K = 1, iteration = 682, H = 2.11297e+00\n", - "log(Z): -1.03218e+01, tol = 7.19148e+00, K = 1, iteration = 683, H = 2.11214e+00\n", - "log(Z): -1.03113e+01, tol = 7.17898e+00, K = 1, iteration = 684, H = 2.11125e+00\n", - "log(Z): -1.03008e+01, tol = 7.16653e+00, K = 1, iteration = 685, H = 2.11033e+00\n", - "log(Z): -1.02904e+01, tol = 7.15415e+00, K = 1, iteration = 686, H = 2.10939e+00\n", - "log(Z): -1.02801e+01, tol = 7.14185e+00, K = 1, iteration = 687, H = 2.10840e+00\n", - "log(Z): -1.02698e+01, tol = 7.12960e+00, K = 1, iteration = 688, H = 2.10739e+00\n", - "log(Z): -1.02596e+01, tol = 7.11733e+00, K = 1, iteration = 689, H = 2.10644e+00\n", - "log(Z): -1.02494e+01, tol = 7.10517e+00, K = 1, iteration = 690, H = 2.10542e+00\n", - "log(Z): -1.02391e+01, tol = 7.09285e+00, K = 1, iteration = 691, H = 2.10456e+00\n", - "log(Z): -1.02288e+01, tol = 7.08060e+00, K = 1, iteration = 692, H = 2.10368e+00\n", - "log(Z): -1.02185e+01, tol = 7.06827e+00, K = 1, iteration = 693, H = 2.10291e+00\n", - "log(Z): -1.02082e+01, tol = 7.05605e+00, K = 1, iteration = 694, H = 2.10205e+00\n", - "log(Z): -1.01981e+01, tol = 7.04389e+00, K = 1, iteration = 695, H = 2.10117e+00\n", - "log(Z): -1.01879e+01, tol = 7.03172e+00, K = 1, iteration = 696, H = 2.10034e+00\n", - "log(Z): -1.01778e+01, tol = 7.01964e+00, K = 1, iteration = 697, H = 2.09944e+00\n", - "log(Z): -1.01676e+01, tol = 7.00751e+00, K = 1, iteration = 698, H = 2.09863e+00\n", - "log(Z): -1.01576e+01, tol = 6.99544e+00, K = 1, iteration = 699, H = 2.09778e+00\n", - "log(Z): -1.01476e+01, tol = 6.98344e+00, K = 1, iteration = 700, H = 2.09690e+00\n", - "log(Z): -1.01376e+01, tol = 6.97147e+00, K = 1, iteration = 701, H = 2.09603e+00\n", - "log(Z): -1.01275e+01, tol = 6.95943e+00, K = 1, iteration = 702, H = 2.09525e+00\n", - "log(Z): -1.01176e+01, tol = 6.94750e+00, K = 1, iteration = 703, H = 2.09439e+00\n", - "log(Z): -1.01076e+01, tol = 6.93555e+00, K = 1, iteration = 704, H = 2.09357e+00\n", - "log(Z): -1.00976e+01, tol = 6.92353e+00, K = 1, iteration = 705, H = 2.09285e+00\n", - "log(Z): -1.00877e+01, tol = 6.91162e+00, K = 1, iteration = 706, H = 2.09206e+00\n", - "log(Z): -1.00777e+01, tol = 6.89967e+00, K = 1, iteration = 707, H = 2.09134e+00\n", - "log(Z): -1.00678e+01, tol = 6.88778e+00, K = 1, iteration = 708, H = 2.09058e+00\n", - "log(Z): -1.00579e+01, tol = 6.87592e+00, K = 1, iteration = 709, H = 2.08982e+00\n", - "log(Z): -1.00481e+01, tol = 6.86411e+00, K = 1, iteration = 710, H = 2.08905e+00\n", - "log(Z): -1.00384e+01, tol = 6.85237e+00, K = 1, iteration = 711, H = 2.08823e+00\n", - "log(Z): -1.00287e+01, tol = 6.84072e+00, K = 1, iteration = 712, H = 2.08737e+00\n", - "log(Z): -1.00191e+01, tol = 6.82916e+00, K = 1, iteration = 713, H = 2.08645e+00\n", - "log(Z): -1.00096e+01, tol = 6.81768e+00, K = 1, iteration = 714, H = 2.08548e+00\n", - "log(Z): -1.00000e+01, tol = 6.80609e+00, K = 1, iteration = 715, H = 2.08464e+00\n", - "log(Z): -9.99036e+00, tol = 6.79443e+00, K = 1, iteration = 716, H = 2.08390e+00\n", - "log(Z): -9.98060e+00, tol = 6.78269e+00, K = 1, iteration = 717, H = 2.08325e+00\n", - "log(Z): -9.97095e+00, tol = 6.77106e+00, K = 1, iteration = 718, H = 2.08254e+00\n", - "log(Z): -9.96142e+00, tol = 6.75953e+00, K = 1, iteration = 719, H = 2.08174e+00\n", - "log(Z): -9.95193e+00, tol = 6.74806e+00, K = 1, iteration = 720, H = 2.08093e+00\n", - "log(Z): -9.94243e+00, tol = 6.73658e+00, K = 1, iteration = 721, H = 2.08016e+00\n", - "log(Z): -9.93294e+00, tol = 6.72510e+00, K = 1, iteration = 722, H = 2.07940e+00\n", - "log(Z): -9.92354e+00, tol = 6.71372e+00, K = 1, iteration = 723, H = 2.07859e+00\n", - "log(Z): -9.91419e+00, tol = 6.70238e+00, K = 1, iteration = 724, H = 2.07775e+00\n", - "log(Z): -9.90493e+00, tol = 6.69113e+00, K = 1, iteration = 725, H = 2.07687e+00\n", - "log(Z): -9.89555e+00, tol = 6.67976e+00, K = 1, iteration = 726, H = 2.07612e+00\n", - "log(Z): -9.88601e+00, tol = 6.66824e+00, K = 1, iteration = 727, H = 2.07554e+00\n", - "log(Z): -9.87628e+00, tol = 6.65652e+00, K = 1, iteration = 728, H = 2.07517e+00\n", - "log(Z): -9.86653e+00, tol = 6.64479e+00, K = 1, iteration = 729, H = 2.07484e+00\n", - "log(Z): -9.85650e+00, tol = 6.63278e+00, K = 1, iteration = 730, H = 2.07480e+00\n", - "log(Z): -9.84656e+00, tol = 6.62085e+00, K = 1, iteration = 731, H = 2.07470e+00\n", - "log(Z): -9.83656e+00, tol = 6.60887e+00, K = 1, iteration = 732, H = 2.07468e+00\n", - "log(Z): -9.82668e+00, tol = 6.59701e+00, K = 1, iteration = 733, H = 2.07456e+00\n", - "log(Z): -9.81691e+00, tol = 6.58525e+00, K = 1, iteration = 734, H = 2.07435e+00\n", - "log(Z): -9.80723e+00, tol = 6.57359e+00, K = 1, iteration = 735, H = 2.07408e+00\n", - "log(Z): -9.79745e+00, tol = 6.56182e+00, K = 1, iteration = 736, H = 2.07392e+00\n", - "log(Z): -9.78761e+00, tol = 6.54999e+00, K = 1, iteration = 737, H = 2.07385e+00\n", - "log(Z): -9.77768e+00, tol = 6.53809e+00, K = 1, iteration = 738, H = 2.07388e+00\n", - "log(Z): -9.76784e+00, tol = 6.52627e+00, K = 1, iteration = 739, H = 2.07385e+00\n", - "log(Z): -9.75804e+00, tol = 6.51448e+00, K = 1, iteration = 740, H = 2.07380e+00\n", - "log(Z): -9.74824e+00, tol = 6.50270e+00, K = 1, iteration = 741, H = 2.07376e+00\n", - "log(Z): -9.73851e+00, tol = 6.49099e+00, K = 1, iteration = 742, H = 2.07367e+00\n", - "log(Z): -9.72885e+00, tol = 6.47935e+00, K = 1, iteration = 743, H = 2.07354e+00\n", - "log(Z): -9.71911e+00, tol = 6.46763e+00, K = 1, iteration = 744, H = 2.07350e+00\n", - "log(Z): -9.70938e+00, tol = 6.45591e+00, K = 1, iteration = 745, H = 2.07349e+00\n", - "log(Z): -9.69944e+00, tol = 6.44399e+00, K = 1, iteration = 746, H = 2.07369e+00\n", - "log(Z): -9.68957e+00, tol = 6.43214e+00, K = 1, iteration = 747, H = 2.07385e+00\n", - "log(Z): -9.67978e+00, tol = 6.42036e+00, K = 1, iteration = 748, H = 2.07394e+00\n", - "log(Z): -9.66989e+00, tol = 6.40849e+00, K = 1, iteration = 749, H = 2.07415e+00\n", - "log(Z): -9.66000e+00, tol = 6.39663e+00, K = 1, iteration = 750, H = 2.07438e+00\n", - "log(Z): -9.65003e+00, tol = 6.38468e+00, K = 1, iteration = 751, H = 2.07470e+00\n", - "log(Z): -9.64018e+00, tol = 6.37285e+00, K = 1, iteration = 752, H = 2.07492e+00\n", - "log(Z): -9.63027e+00, tol = 6.36096e+00, K = 1, iteration = 753, H = 2.07522e+00\n", - "log(Z): -9.62040e+00, tol = 6.34911e+00, K = 1, iteration = 754, H = 2.07550e+00\n", - "log(Z): -9.61048e+00, tol = 6.33720e+00, K = 1, iteration = 755, H = 2.07585e+00\n", - "log(Z): -9.60066e+00, tol = 6.32541e+00, K = 1, iteration = 756, H = 2.07610e+00\n", - "log(Z): -9.59097e+00, tol = 6.31374e+00, K = 1, iteration = 757, H = 2.07625e+00\n", - "log(Z): -9.58137e+00, tol = 6.31787e+00, K = 1, iteration = 758, H = 2.07632e+00\n", - "log(Z): -9.57184e+00, tol = 6.30636e+00, K = 1, iteration = 759, H = 2.07633e+00\n", - "log(Z): -9.56235e+00, tol = 6.29489e+00, K = 1, iteration = 760, H = 2.07633e+00\n", - "log(Z): -9.55290e+00, tol = 6.28346e+00, K = 1, iteration = 761, H = 2.07631e+00\n", - "log(Z): -9.54352e+00, tol = 6.27211e+00, K = 1, iteration = 762, H = 2.07623e+00\n", - "log(Z): -9.53422e+00, tol = 6.26082e+00, K = 1, iteration = 763, H = 2.07611e+00\n", - "log(Z): -9.52496e+00, tol = 6.24958e+00, K = 1, iteration = 764, H = 2.07596e+00\n", - "log(Z): -9.51576e+00, tol = 6.23841e+00, K = 1, iteration = 765, H = 2.07576e+00\n", - "log(Z): -9.50662e+00, tol = 6.22729e+00, K = 1, iteration = 766, H = 2.07553e+00\n", - "log(Z): -9.49746e+00, tol = 6.21615e+00, K = 1, iteration = 767, H = 2.07534e+00\n", - "log(Z): -9.48839e+00, tol = 6.20511e+00, K = 1, iteration = 768, H = 2.07508e+00\n", - "log(Z): -9.47937e+00, tol = 6.19411e+00, K = 1, iteration = 769, H = 2.07480e+00\n", - "log(Z): -9.47031e+00, tol = 6.18307e+00, K = 1, iteration = 770, H = 2.07457e+00\n", - "log(Z): -9.46127e+00, tol = 6.17206e+00, K = 1, iteration = 771, H = 2.07434e+00\n", - "log(Z): -9.45218e+00, tol = 6.16098e+00, K = 1, iteration = 772, H = 2.07419e+00\n", - "log(Z): -9.44315e+00, tol = 6.14998e+00, K = 1, iteration = 773, H = 2.07399e+00\n", - "log(Z): -9.43419e+00, tol = 6.13904e+00, K = 1, iteration = 774, H = 2.07375e+00\n", - "log(Z): -9.42524e+00, tol = 6.12812e+00, K = 1, iteration = 775, H = 2.07351e+00\n", - "log(Z): -9.41639e+00, tol = 6.11729e+00, K = 1, iteration = 776, H = 2.07320e+00\n", - "log(Z): -9.40760e+00, tol = 6.10652e+00, K = 1, iteration = 777, H = 2.07286e+00\n", - "log(Z): -9.39868e+00, tol = 6.09563e+00, K = 1, iteration = 778, H = 2.07266e+00\n", - "log(Z): -9.38985e+00, tol = 6.08482e+00, K = 1, iteration = 779, H = 2.07239e+00\n", - "log(Z): -9.38110e+00, tol = 6.07409e+00, K = 1, iteration = 780, H = 2.07206e+00\n", - "log(Z): -9.37233e+00, tol = 6.06335e+00, K = 1, iteration = 781, H = 2.07177e+00\n", - "log(Z): -9.36348e+00, tol = 6.05253e+00, K = 1, iteration = 782, H = 2.07158e+00\n", - "log(Z): -9.35462e+00, tol = 6.04170e+00, K = 1, iteration = 783, H = 2.07142e+00\n", - "log(Z): -9.34585e+00, tol = 6.03095e+00, K = 1, iteration = 784, H = 2.07119e+00\n", - "log(Z): -9.33697e+00, tol = 6.02010e+00, K = 1, iteration = 785, H = 2.07109e+00\n", - "log(Z): -9.32817e+00, tol = 6.00932e+00, K = 1, iteration = 786, H = 2.07093e+00\n", - "log(Z): -9.31928e+00, tol = 5.99846e+00, K = 1, iteration = 787, H = 2.07088e+00\n", - "log(Z): -9.31036e+00, tol = 5.98757e+00, K = 1, iteration = 788, H = 2.07087e+00\n", - "log(Z): -9.30146e+00, tol = 5.97669e+00, K = 1, iteration = 789, H = 2.07086e+00\n", - "log(Z): -9.29264e+00, tol = 5.96590e+00, K = 1, iteration = 790, H = 2.07079e+00\n", - "log(Z): -9.28390e+00, tol = 5.95519e+00, K = 1, iteration = 791, H = 2.07066e+00\n", - "log(Z): -9.27517e+00, tol = 5.94449e+00, K = 1, iteration = 792, H = 2.07054e+00\n", - "log(Z): -9.26650e+00, tol = 5.93385e+00, K = 1, iteration = 793, H = 2.07037e+00\n", - "log(Z): -9.25787e+00, tol = 5.92325e+00, K = 1, iteration = 794, H = 2.07019e+00\n", - "log(Z): -9.24934e+00, tol = 5.91274e+00, K = 1, iteration = 795, H = 2.06993e+00\n", - "log(Z): -9.24087e+00, tol = 5.90230e+00, K = 1, iteration = 796, H = 2.06963e+00\n", - "log(Z): -9.23243e+00, tol = 5.89188e+00, K = 1, iteration = 797, H = 2.06932e+00\n", - "log(Z): -9.22405e+00, tol = 5.88154e+00, K = 1, iteration = 798, H = 2.06897e+00\n", - "log(Z): -9.21576e+00, tol = 5.87127e+00, K = 1, iteration = 799, H = 2.06856e+00\n", - "log(Z): -9.20754e+00, tol = 5.86108e+00, K = 1, iteration = 800, H = 2.06810e+00\n", - "log(Z): -9.19938e+00, tol = 5.85096e+00, K = 1, iteration = 801, H = 2.06760e+00\n", - "log(Z): -9.19130e+00, tol = 5.84090e+00, K = 1, iteration = 802, H = 2.06706e+00\n", - "log(Z): -9.18321e+00, tol = 5.83085e+00, K = 1, iteration = 803, H = 2.06653e+00\n", - "log(Z): -9.17520e+00, tol = 5.82086e+00, K = 1, iteration = 804, H = 2.06596e+00\n", - "log(Z): -9.16727e+00, tol = 5.81096e+00, K = 1, iteration = 805, H = 2.06534e+00\n", - "log(Z): -9.15939e+00, tol = 5.80111e+00, K = 1, iteration = 806, H = 2.06468e+00\n", - "log(Z): -9.15148e+00, tol = 5.79123e+00, K = 1, iteration = 807, H = 2.06408e+00\n", - "log(Z): -9.14359e+00, tol = 5.78138e+00, K = 1, iteration = 808, H = 2.06347e+00\n", - "log(Z): -9.13569e+00, tol = 5.77150e+00, K = 1, iteration = 809, H = 2.06290e+00\n", - "log(Z): -9.12775e+00, tol = 5.76159e+00, K = 1, iteration = 810, H = 2.06239e+00\n", - "log(Z): -9.11987e+00, tol = 5.75175e+00, K = 1, iteration = 811, H = 2.06183e+00\n", - "log(Z): -9.11194e+00, tol = 5.74185e+00, K = 1, iteration = 812, H = 2.06135e+00\n", - "log(Z): -9.10408e+00, tol = 5.73202e+00, K = 1, iteration = 813, H = 2.06082e+00\n", - "log(Z): -9.09620e+00, tol = 5.72217e+00, K = 1, iteration = 814, H = 2.06033e+00\n", - "log(Z): -9.08830e+00, tol = 5.71230e+00, K = 1, iteration = 815, H = 2.05988e+00\n", - "log(Z): -9.08041e+00, tol = 5.70244e+00, K = 1, iteration = 816, H = 2.05944e+00\n", - "log(Z): -9.07257e+00, tol = 5.69264e+00, K = 1, iteration = 817, H = 2.05896e+00\n", - "log(Z): -9.06478e+00, tol = 5.68289e+00, K = 1, iteration = 818, H = 2.05846e+00\n", - "log(Z): -9.05703e+00, tol = 5.67317e+00, K = 1, iteration = 819, H = 2.05794e+00\n", - "log(Z): -9.04929e+00, tol = 5.66346e+00, K = 1, iteration = 820, H = 2.05744e+00\n", - "log(Z): -9.04158e+00, tol = 5.65378e+00, K = 1, iteration = 821, H = 2.05692e+00\n", - "log(Z): -9.03395e+00, tol = 5.64418e+00, K = 1, iteration = 822, H = 2.05636e+00\n", - "log(Z): -9.02629e+00, tol = 5.63456e+00, K = 1, iteration = 823, H = 2.05583e+00\n", - "log(Z): -9.01870e+00, tol = 5.62500e+00, K = 1, iteration = 824, H = 2.05527e+00\n", - "log(Z): -9.01108e+00, tol = 5.61542e+00, K = 1, iteration = 825, H = 2.05474e+00\n", - "log(Z): -9.00351e+00, tol = 5.60589e+00, K = 1, iteration = 826, H = 2.05419e+00\n", - "log(Z): -8.99595e+00, tol = 5.59636e+00, K = 1, iteration = 827, H = 2.05365e+00\n", - "log(Z): -8.98836e+00, tol = 5.58681e+00, K = 1, iteration = 828, H = 2.05316e+00\n", - "log(Z): -8.98082e+00, tol = 5.57731e+00, K = 1, iteration = 829, H = 2.05264e+00\n", - "log(Z): -8.97334e+00, tol = 5.56786e+00, K = 1, iteration = 830, H = 2.05209e+00\n", - "log(Z): -8.96591e+00, tol = 5.55847e+00, K = 1, iteration = 831, H = 2.05151e+00\n", - "log(Z): -8.95846e+00, tol = 5.54905e+00, K = 1, iteration = 832, H = 2.05096e+00\n", - "log(Z): -8.95107e+00, tol = 5.53970e+00, K = 1, iteration = 833, H = 2.05038e+00\n", - "log(Z): -8.94372e+00, tol = 5.53038e+00, K = 1, iteration = 834, H = 2.04978e+00\n", - "log(Z): -8.93643e+00, tol = 5.52113e+00, K = 1, iteration = 835, H = 2.04915e+00\n", - "log(Z): -8.92909e+00, tol = 5.51183e+00, K = 1, iteration = 836, H = 2.04857e+00\n", - "log(Z): -8.92173e+00, tol = 5.50251e+00, K = 1, iteration = 837, H = 2.04804e+00\n", - "log(Z): -8.91437e+00, tol = 5.49319e+00, K = 1, iteration = 838, H = 2.04753e+00\n", - "log(Z): -8.90697e+00, tol = 5.48382e+00, K = 1, iteration = 839, H = 2.04707e+00\n", - "log(Z): -8.89962e+00, tol = 5.47451e+00, K = 1, iteration = 840, H = 2.04658e+00\n", - "log(Z): -8.89228e+00, tol = 5.46521e+00, K = 1, iteration = 841, H = 2.04610e+00\n", - "log(Z): -8.88490e+00, tol = 5.45587e+00, K = 1, iteration = 842, H = 2.04568e+00\n", - "log(Z): -8.87751e+00, tol = 5.44653e+00, K = 1, iteration = 843, H = 2.04528e+00\n", - "log(Z): -8.87005e+00, tol = 5.43710e+00, K = 1, iteration = 844, H = 2.04498e+00\n", - "log(Z): -8.86265e+00, tol = 5.42774e+00, K = 1, iteration = 845, H = 2.04463e+00\n", - 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5.31432e+00, K = 1, iteration = 857, H = 2.04280e+00\n", - "log(Z): -8.76513e+00, tol = 5.30480e+00, K = 1, iteration = 858, H = 2.04283e+00\n", - "log(Z): -8.75759e+00, tol = 5.29532e+00, K = 1, iteration = 859, H = 2.04283e+00\n", - "log(Z): -8.75010e+00, tol = 5.28587e+00, K = 1, iteration = 860, H = 2.04281e+00\n", - "log(Z): -8.74258e+00, tol = 5.27640e+00, K = 1, iteration = 861, H = 2.04283e+00\n", - "log(Z): -8.73506e+00, tol = 5.26693e+00, K = 1, iteration = 862, H = 2.04286e+00\n", - "log(Z): -8.72761e+00, tol = 5.25753e+00, K = 1, iteration = 863, H = 2.04284e+00\n", - "log(Z): -8.72021e+00, tol = 5.24817e+00, K = 1, iteration = 864, H = 2.04279e+00\n", - "log(Z): -8.71287e+00, tol = 5.23888e+00, K = 1, iteration = 865, H = 2.04269e+00\n", - "log(Z): -8.70559e+00, tol = 5.22965e+00, K = 1, iteration = 866, H = 2.04254e+00\n", - "log(Z): -8.69831e+00, tol = 5.22042e+00, K = 1, iteration = 867, H = 2.04242e+00\n", - "log(Z): -8.69106e+00, tol = 5.21123e+00, K = 1, iteration = 868, H = 2.04227e+00\n", - "log(Z): -8.68388e+00, tol = 5.20209e+00, K = 1, iteration = 869, H = 2.04208e+00\n", - "log(Z): -8.67655e+00, tol = 5.19282e+00, K = 1, iteration = 870, H = 2.04205e+00\n", - "log(Z): -8.66925e+00, tol = 5.18357e+00, K = 1, iteration = 871, H = 2.04201e+00\n", - "log(Z): -8.66198e+00, tol = 5.17435e+00, K = 1, iteration = 872, H = 2.04194e+00\n", - "log(Z): -8.65475e+00, tol = 5.16517e+00, K = 1, iteration = 873, H = 2.04186e+00\n", - "log(Z): -8.64755e+00, tol = 5.15602e+00, K = 1, iteration = 874, H = 2.04176e+00\n", - "log(Z): -8.64037e+00, tol = 5.14690e+00, K = 1, iteration = 875, H = 2.04165e+00\n", - "log(Z): -8.63326e+00, tol = 5.13784e+00, K = 1, iteration = 876, H = 2.04150e+00\n", - "log(Z): -8.62611e+00, tol = 5.12875e+00, K = 1, iteration = 877, H = 2.04139e+00\n", - "log(Z): -8.61900e+00, tol = 5.11969e+00, K = 1, iteration = 878, H = 2.04126e+00\n", - "log(Z): -8.61192e+00, tol = 5.11066e+00, K = 1, iteration = 879, H = 2.04113e+00\n", - 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5.00411e+00, K = 1, iteration = 891, H = 2.03892e+00\n", - "log(Z): -8.52191e+00, tol = 4.99540e+00, K = 1, iteration = 892, H = 2.03868e+00\n", - "log(Z): -8.51518e+00, tol = 4.98673e+00, K = 1, iteration = 893, H = 2.03840e+00\n", - "log(Z): -8.50851e+00, tol = 4.97812e+00, K = 1, iteration = 894, H = 2.03809e+00\n", - "log(Z): -8.50190e+00, tol = 4.96956e+00, K = 1, iteration = 895, H = 2.03774e+00\n", - "log(Z): -8.49528e+00, tol = 4.96100e+00, K = 1, iteration = 896, H = 2.03742e+00\n", - "log(Z): -8.48856e+00, tol = 4.95235e+00, K = 1, iteration = 897, H = 2.03720e+00\n", - "log(Z): -8.48187e+00, tol = 4.94372e+00, K = 1, iteration = 898, H = 2.03697e+00\n", - "log(Z): -8.47520e+00, tol = 4.93511e+00, K = 1, iteration = 899, H = 2.03673e+00\n", - "log(Z): -8.46857e+00, tol = 4.92654e+00, K = 1, iteration = 900, H = 2.03647e+00\n", - "log(Z): -8.46199e+00, tol = 4.91803e+00, K = 1, iteration = 901, H = 2.03617e+00\n", - "log(Z): -8.45547e+00, tol = 4.90956e+00, K = 1, iteration = 902, H = 2.03585e+00\n", - "log(Z): -8.44899e+00, tol = 4.90115e+00, K = 1, iteration = 903, H = 2.03549e+00\n", - "log(Z): -8.44245e+00, tol = 4.89267e+00, K = 1, iteration = 904, H = 2.03520e+00\n", - "log(Z): -8.43591e+00, tol = 4.88420e+00, K = 1, iteration = 905, H = 2.03493e+00\n", - "log(Z): -8.42938e+00, tol = 4.87573e+00, K = 1, iteration = 906, H = 2.03467e+00\n", - "log(Z): -8.42276e+00, tol = 4.86718e+00, K = 1, iteration = 907, H = 2.03450e+00\n", - "log(Z): -8.41614e+00, tol = 4.85863e+00, K = 1, iteration = 908, H = 2.03435e+00\n", - "log(Z): -8.40956e+00, tol = 4.85011e+00, K = 1, iteration = 909, H = 2.03418e+00\n", - "log(Z): -8.40301e+00, tol = 4.84163e+00, K = 1, iteration = 910, H = 2.03399e+00\n", - "log(Z): -8.39651e+00, tol = 4.83320e+00, K = 1, iteration = 911, H = 2.03377e+00\n", - "log(Z): -8.39000e+00, tol = 4.82475e+00, K = 1, iteration = 912, H = 2.03357e+00\n", - "log(Z): -8.38347e+00, tol = 4.81629e+00, K = 1, iteration = 913, H = 2.03341e+00\n", - "log(Z): -8.37697e+00, tol = 4.80786e+00, K = 1, iteration = 914, H = 2.03323e+00\n", - "log(Z): -8.37052e+00, tol = 4.79948e+00, K = 1, iteration = 915, H = 2.03302e+00\n", - "log(Z): -8.36406e+00, tol = 4.79109e+00, K = 1, iteration = 916, H = 2.03282e+00\n", - "log(Z): -8.35766e+00, tol = 4.78276e+00, K = 1, iteration = 917, H = 2.03259e+00\n", - "log(Z): -8.35130e+00, tol = 4.77447e+00, K = 1, iteration = 918, H = 2.03233e+00\n", - "log(Z): -8.34497e+00, tol = 4.76621e+00, K = 1, iteration = 919, H = 2.03206e+00\n", - "log(Z): -8.33868e+00, tol = 4.75799e+00, K = 1, iteration = 920, H = 2.03176e+00\n", - "log(Z): -8.33239e+00, tol = 4.74978e+00, K = 1, iteration = 921, H = 2.03148e+00\n", - "log(Z): -8.32610e+00, tol = 4.74155e+00, K = 1, iteration = 922, H = 2.03121e+00\n", - "log(Z): -8.31984e+00, tol = 4.73337e+00, K = 1, iteration = 923, H = 2.03093e+00\n", - "log(Z): -8.31345e+00, tol = 4.72505e+00, K = 1, iteration = 924, H = 2.03079e+00\n", - "log(Z): -8.30710e+00, tol = 4.71677e+00, K = 1, iteration = 925, H = 2.03063e+00\n", - "log(Z): -8.30066e+00, tol = 4.70841e+00, K = 1, iteration = 926, H = 2.03056e+00\n", - "log(Z): -8.29425e+00, tol = 4.70007e+00, K = 1, iteration = 927, H = 2.03048e+00\n", - "log(Z): -8.28767e+00, tol = 4.69158e+00, K = 1, iteration = 928, H = 2.03057e+00\n", - "log(Z): -8.28103e+00, tol = 4.68302e+00, K = 1, iteration = 929, H = 2.03075e+00\n", - "log(Z): -8.27440e+00, tol = 4.67446e+00, K = 1, iteration = 930, H = 2.03093e+00\n", - "log(Z): -8.26780e+00, tol = 4.66595e+00, K = 1, iteration = 931, H = 2.03108e+00\n", - "log(Z): -8.26126e+00, tol = 4.65748e+00, K = 1, iteration = 932, H = 2.03120e+00\n", - "log(Z): -8.25474e+00, tol = 4.64905e+00, K = 1, iteration = 933, H = 2.03129e+00\n", - "log(Z): -8.24824e+00, tol = 4.64064e+00, K = 1, iteration = 934, H = 2.03138e+00\n", - "log(Z): -8.24175e+00, tol = 4.63222e+00, K = 1, iteration = 935, H = 2.03148e+00\n", - "log(Z): -8.23520e+00, tol = 4.62376e+00, K = 1, iteration = 936, H = 2.03165e+00\n", - "log(Z): -8.22866e+00, tol = 4.61531e+00, K = 1, iteration = 937, H = 2.03182e+00\n", - "log(Z): -8.22206e+00, tol = 4.60679e+00, K = 1, iteration = 938, H = 2.03206e+00\n", - "log(Z): -8.21547e+00, tol = 4.59829e+00, K = 1, iteration = 939, H = 2.03231e+00\n", - "log(Z): -8.20890e+00, tol = 4.58980e+00, K = 1, iteration = 940, H = 2.03255e+00\n", - "log(Z): -8.20224e+00, tol = 4.58122e+00, K = 1, iteration = 941, H = 2.03289e+00\n", - "log(Z): -8.19562e+00, tol = 4.57270e+00, K = 1, iteration = 942, H = 2.03320e+00\n", - "log(Z): -8.18891e+00, tol = 4.56408e+00, K = 1, iteration = 943, H = 2.03362e+00\n", - "log(Z): -8.18209e+00, tol = 4.55535e+00, K = 1, iteration = 944, H = 2.03416e+00\n", - "log(Z): -8.17533e+00, tol = 4.54668e+00, K = 1, iteration = 945, H = 2.03465e+00\n", - "log(Z): -8.16860e+00, tol = 4.53804e+00, K = 1, iteration = 946, H = 2.03512e+00\n", - "log(Z): -8.16192e+00, tol = 4.52946e+00, K = 1, iteration = 947, H = 2.03554e+00\n", - "log(Z): -8.15526e+00, tol = 4.52089e+00, K = 1, iteration = 948, H = 2.03595e+00\n", - "log(Z): -8.14865e+00, tol = 4.51238e+00, K = 1, iteration = 949, H = 2.03633e+00\n", - "log(Z): -8.14207e+00, tol = 4.50389e+00, K = 1, iteration = 950, H = 2.03668e+00\n", - "log(Z): -8.13546e+00, tol = 4.49538e+00, K = 1, iteration = 951, H = 2.03707e+00\n", - "log(Z): -8.12889e+00, tol = 4.48691e+00, K = 1, iteration = 952, H = 2.03743e+00\n", - "log(Z): -8.12238e+00, tol = 4.47849e+00, K = 1, iteration = 953, H = 2.03775e+00\n", - "log(Z): -8.11591e+00, tol = 4.47011e+00, K = 1, iteration = 954, H = 2.03803e+00\n", - "log(Z): -8.10949e+00, tol = 4.46179e+00, K = 1, iteration = 955, H = 2.03827e+00\n", - "log(Z): -8.10308e+00, tol = 4.45348e+00, K = 1, iteration = 956, H = 2.03850e+00\n", - "log(Z): -8.09668e+00, tol = 4.44518e+00, K = 1, iteration = 957, H = 2.03874e+00\n", - "log(Z): -8.09033e+00, tol = 4.43692e+00, K = 1, iteration = 958, H = 2.03894e+00\n", - "log(Z): -8.08397e+00, tol = 4.42867e+00, K = 1, iteration = 959, H = 2.03916e+00\n", - "log(Z): -8.07765e+00, tol = 4.42044e+00, K = 1, iteration = 960, H = 2.03936e+00\n", - "log(Z): -8.07137e+00, tol = 4.41226e+00, K = 1, iteration = 961, H = 2.03952e+00\n", - "log(Z): -8.06512e+00, tol = 4.40411e+00, K = 1, iteration = 962, H = 2.03966e+00\n", - "log(Z): -8.05884e+00, tol = 4.39594e+00, K = 1, iteration = 963, H = 2.03984e+00\n", - "log(Z): -8.05261e+00, tol = 4.38781e+00, K = 1, iteration = 964, H = 2.03999e+00\n", - "log(Z): -8.04642e+00, tol = 4.37972e+00, K = 1, iteration = 965, H = 2.04011e+00\n", - "log(Z): -8.04014e+00, tol = 4.37155e+00, K = 1, iteration = 966, H = 2.04032e+00\n", - "log(Z): -8.03385e+00, tol = 4.36336e+00, K = 1, iteration = 967, H = 2.04057e+00\n", - "log(Z): -8.02759e+00, tol = 4.35520e+00, K = 1, iteration = 968, H = 2.04079e+00\n", - "log(Z): -8.02136e+00, tol = 4.34708e+00, K = 1, iteration = 969, H = 2.04099e+00\n", - "log(Z): -8.01517e+00, tol = 4.33900e+00, K = 1, iteration = 970, H = 2.04116e+00\n", - "log(Z): -8.00902e+00, tol = 4.33096e+00, K = 1, iteration = 971, H = 2.04130e+00\n", - "log(Z): -8.00288e+00, tol = 4.32292e+00, K = 1, iteration = 972, H = 2.04145e+00\n", - "log(Z): -7.99678e+00, tol = 4.31493e+00, K = 1, iteration = 973, H = 2.04156e+00\n", - "log(Z): -7.99067e+00, tol = 4.30693e+00, K = 1, iteration = 974, H = 2.04169e+00\n", - "log(Z): -7.98455e+00, tol = 4.29892e+00, K = 1, iteration = 975, H = 2.04185e+00\n", - "log(Z): -7.97848e+00, tol = 4.29096e+00, K = 1, iteration = 976, H = 2.04196e+00\n", - "log(Z): -7.97243e+00, tol = 4.28302e+00, K = 1, iteration = 977, H = 2.04208e+00\n", - "log(Z): -7.96642e+00, tol = 4.27512e+00, K = 1, iteration = 978, H = 2.04215e+00\n", - "log(Z): -7.96044e+00, tol = 4.26725e+00, K = 1, iteration = 979, H = 2.04222e+00\n", - "log(Z): -7.95450e+00, tol = 4.25942e+00, K = 1, iteration = 980, H = 2.04225e+00\n", - "log(Z): -7.94860e+00, tol = 4.25164e+00, K = 1, iteration = 981, H = 2.04225e+00\n", - "log(Z): -7.94273e+00, tol = 4.24388e+00, K = 1, iteration = 982, H = 2.04224e+00\n", - "log(Z): -7.93682e+00, tol = 4.23608e+00, K = 1, iteration = 983, H = 2.04228e+00\n", - "log(Z): -7.93094e+00, tol = 4.22831e+00, K = 1, iteration = 984, H = 2.04230e+00\n", - "log(Z): -7.92508e+00, tol = 4.22058e+00, K = 1, iteration = 985, H = 2.04230e+00\n", - "log(Z): -7.91927e+00, tol = 4.21287e+00, K = 1, iteration = 986, H = 2.04228e+00\n", - "log(Z): -7.91348e+00, tol = 4.20520e+00, K = 1, iteration = 987, H = 2.04224e+00\n", - "log(Z): -7.90771e+00, tol = 4.19755e+00, K = 1, iteration = 988, H = 2.04219e+00\n", - "log(Z): -7.90199e+00, tol = 4.18994e+00, K = 1, iteration = 989, H = 2.04212e+00\n", - "log(Z): -7.89628e+00, tol = 4.18235e+00, K = 1, iteration = 990, H = 2.04203e+00\n", - "log(Z): -7.89061e+00, tol = 4.17480e+00, K = 1, iteration = 991, H = 2.04193e+00\n", - "log(Z): -7.88496e+00, tol = 4.16727e+00, K = 1, iteration = 992, H = 2.04181e+00\n", - "log(Z): -7.87936e+00, tol = 4.15978e+00, K = 1, iteration = 993, H = 2.04166e+00\n", - "log(Z): -7.87377e+00, tol = 4.15232e+00, K = 1, iteration = 994, H = 2.04150e+00\n", - "log(Z): -7.86817e+00, tol = 4.14483e+00, K = 1, iteration = 995, H = 2.04138e+00\n", - "log(Z): -7.86255e+00, tol = 4.13734e+00, K = 1, iteration = 996, H = 2.04128e+00\n", - "log(Z): -7.85698e+00, tol = 4.12988e+00, K = 1, iteration = 997, H = 2.04115e+00\n", - "log(Z): -7.85142e+00, tol = 4.12245e+00, K = 1, iteration = 998, H = 2.04102e+00\n", - "log(Z): -7.84591e+00, tol = 4.11506e+00, K = 1, iteration = 999, H = 2.04085e+00\n", - "log(Z): -7.84028e+00, tol = 4.10756e+00, K = 1, iteration = 1000, H = 2.04081e+00\n", - "log(Z): -7.83468e+00, tol = 4.10009e+00, K = 1, iteration = 1001, H = 2.04075e+00\n", - "log(Z): -7.82906e+00, tol = 4.09259e+00, K = 1, iteration = 1002, H = 2.04073e+00\n", - "log(Z): -7.82338e+00, tol = 4.08504e+00, K = 1, iteration = 1003, H = 2.04077e+00\n", - "log(Z): -7.81772e+00, tol = 4.07751e+00, K = 1, iteration = 1004, H = 2.04081e+00\n", - "log(Z): -7.81201e+00, tol = 4.06992e+00, K = 1, iteration = 1005, H = 2.04091e+00\n", - "log(Z): -7.80631e+00, tol = 4.06236e+00, K = 1, iteration = 1006, H = 2.04100e+00\n", - "log(Z): -7.80065e+00, tol = 4.05484e+00, K = 1, iteration = 1007, H = 2.04107e+00\n", - "log(Z): -7.79500e+00, tol = 4.04732e+00, K = 1, iteration = 1008, H = 2.04115e+00\n", - "log(Z): -7.78937e+00, tol = 4.03982e+00, K = 1, iteration = 1009, H = 2.04121e+00\n", - "log(Z): -7.78377e+00, tol = 4.03235e+00, K = 1, iteration = 1010, H = 2.04125e+00\n", - "log(Z): -7.77819e+00, tol = 4.02491e+00, K = 1, iteration = 1011, H = 2.04128e+00\n", - "log(Z): -7.77263e+00, tol = 4.01749e+00, K = 1, iteration = 1012, H = 2.04130e+00\n", - "log(Z): -7.76707e+00, tol = 4.01006e+00, K = 1, iteration = 1013, H = 2.04134e+00\n", - "log(Z): -7.76147e+00, tol = 4.00260e+00, K = 1, iteration = 1014, H = 2.04142e+00\n", - "log(Z): -7.75587e+00, tol = 3.99513e+00, K = 1, iteration = 1015, H = 2.04152e+00\n", - "log(Z): -7.75020e+00, tol = 3.98761e+00, K = 1, iteration = 1016, H = 2.04170e+00\n", - "log(Z): -7.74456e+00, tol = 3.98011e+00, K = 1, iteration = 1017, H = 2.04186e+00\n", - "log(Z): -7.73874e+00, tol = 3.97244e+00, K = 1, iteration = 1018, H = 2.04221e+00\n", - "log(Z): -7.73291e+00, tol = 3.96476e+00, K = 1, iteration = 1019, H = 2.04259e+00\n", - "log(Z): -7.72712e+00, tol = 3.95711e+00, K = 1, iteration = 1020, H = 2.04293e+00\n", - "log(Z): -7.72122e+00, tol = 3.94937e+00, K = 1, iteration = 1021, H = 2.04340e+00\n", - "log(Z): -7.71536e+00, tol = 3.94166e+00, K = 1, iteration = 1022, H = 2.04384e+00\n", - "log(Z): -7.70953e+00, tol = 3.93398e+00, K = 1, iteration = 1023, H = 2.04425e+00\n", - "log(Z): -7.70372e+00, tol = 3.92632e+00, K = 1, iteration = 1024, H = 2.04465e+00\n", - "log(Z): -7.69795e+00, tol = 3.91871e+00, K = 1, iteration = 1025, H = 2.04502e+00\n", - "log(Z): -7.69209e+00, tol = 3.91101e+00, K = 1, iteration = 1026, H = 2.04549e+00\n", - "log(Z): -7.68626e+00, tol = 3.90334e+00, K = 1, iteration = 1027, H = 2.04594e+00\n", - "log(Z): -7.68047e+00, tol = 3.89570e+00, K = 1, iteration = 1028, H = 2.04635e+00\n", - "log(Z): -7.67473e+00, tol = 3.88812e+00, K = 1, iteration = 1029, H = 2.04673e+00\n", - "log(Z): -7.66895e+00, tol = 3.88050e+00, K = 1, iteration = 1030, H = 2.04715e+00\n", - "log(Z): -7.66316e+00, tol = 3.87287e+00, K = 1, iteration = 1031, H = 2.04759e+00\n", - "log(Z): -7.65737e+00, tol = 3.86525e+00, K = 1, iteration = 1032, H = 2.04804e+00\n", - "log(Z): -7.65161e+00, tol = 3.85765e+00, K = 1, iteration = 1033, H = 2.04847e+00\n", - "log(Z): -7.64588e+00, tol = 3.85008e+00, K = 1, iteration = 1034, H = 2.04889e+00\n", - "log(Z): -7.64016e+00, tol = 3.84253e+00, K = 1, iteration = 1035, H = 2.04928e+00\n", - "log(Z): -7.63449e+00, tol = 3.83502e+00, K = 1, iteration = 1036, H = 2.04965e+00\n", - "log(Z): -7.62883e+00, tol = 3.82753e+00, K = 1, iteration = 1037, H = 2.05000e+00\n", - "log(Z): -7.62318e+00, tol = 3.82004e+00, K = 1, iteration = 1038, H = 2.05037e+00\n", - "log(Z): -7.61756e+00, tol = 3.81259e+00, K = 1, iteration = 1039, H = 2.05070e+00\n", - "log(Z): -7.61195e+00, tol = 3.80515e+00, K = 1, iteration = 1040, H = 2.05104e+00\n", - "log(Z): -7.60636e+00, tol = 3.79773e+00, K = 1, iteration = 1041, H = 2.05135e+00\n", - "log(Z): -7.60075e+00, tol = 3.79029e+00, K = 1, iteration = 1042, H = 2.05171e+00\n", - "log(Z): -7.59514e+00, tol = 3.78285e+00, K = 1, iteration = 1043, H = 2.05207e+00\n", - "log(Z): -7.58955e+00, tol = 3.77544e+00, K = 1, iteration = 1044, H = 2.05242e+00\n", - "log(Z): -7.58400e+00, tol = 3.76806e+00, K = 1, iteration = 1045, H = 2.05274e+00\n", - "log(Z): -7.57849e+00, tol = 3.76072e+00, K = 1, iteration = 1046, H = 2.05303e+00\n", - "log(Z): -7.57297e+00, tol = 3.75338e+00, K = 1, iteration = 1047, H = 2.05333e+00\n", - "log(Z): -7.56744e+00, tol = 3.74603e+00, K = 1, iteration = 1048, H = 2.05365e+00\n", - "log(Z): -7.56194e+00, tol = 3.73870e+00, K = 1, iteration = 1049, H = 2.05395e+00\n", - "log(Z): -7.55643e+00, tol = 3.73137e+00, K = 1, iteration = 1050, H = 2.05427e+00\n", - "log(Z): -7.55093e+00, tol = 3.72405e+00, K = 1, iteration = 1051, H = 2.05460e+00\n", - "log(Z): -7.54543e+00, tol = 3.71674e+00, K = 1, iteration = 1052, H = 2.05492e+00\n", - "log(Z): -7.53989e+00, tol = 3.70938e+00, K = 1, iteration = 1053, H = 2.05530e+00\n", - "log(Z): -7.53437e+00, tol = 3.70205e+00, K = 1, iteration = 1054, H = 2.05567e+00\n", - "log(Z): -7.52889e+00, tol = 3.69475e+00, K = 1, iteration = 1055, H = 2.05601e+00\n", - "log(Z): -7.52343e+00, tol = 3.68748e+00, K = 1, iteration = 1056, H = 2.05632e+00\n", - "log(Z): -7.51798e+00, tol = 3.68021e+00, K = 1, iteration = 1057, H = 2.05665e+00\n", - "log(Z): -7.51253e+00, tol = 3.67295e+00, K = 1, iteration = 1058, H = 2.05698e+00\n", - "log(Z): -7.50688e+00, tol = 3.66550e+00, K = 1, iteration = 1059, H = 2.05753e+00\n", - "log(Z): -7.50127e+00, tol = 3.65809e+00, K = 1, iteration = 1060, H = 2.05805e+00\n", - "log(Z): -7.49562e+00, tol = 3.65063e+00, K = 1, iteration = 1061, H = 2.05862e+00\n", - "log(Z): -7.49001e+00, tol = 3.64322e+00, K = 1, iteration = 1062, H = 2.05916e+00\n", - "log(Z): -7.48441e+00, tol = 3.63581e+00, K = 1, iteration = 1063, H = 2.05970e+00\n", - "log(Z): -7.47879e+00, tol = 3.62840e+00, K = 1, iteration = 1064, H = 2.06026e+00\n", - "log(Z): -7.47320e+00, tol = 3.62101e+00, K = 1, iteration = 1065, H = 2.06080e+00\n", - "log(Z): -7.46763e+00, tol = 3.61365e+00, K = 1, iteration = 1066, H = 2.06132e+00\n", - "log(Z): -7.46207e+00, tol = 3.60629e+00, K = 1, iteration = 1067, H = 2.06184e+00\n", - "log(Z): -7.45653e+00, tol = 3.59896e+00, K = 1, iteration = 1068, H = 2.06235e+00\n", - "log(Z): -7.45096e+00, tol = 3.59160e+00, K = 1, iteration = 1069, H = 2.06290e+00\n", - "log(Z): -7.44540e+00, tol = 3.58424e+00, K = 1, iteration = 1070, H = 2.06345e+00\n", - "log(Z): -7.43980e+00, tol = 3.57686e+00, K = 1, iteration = 1071, H = 2.06404e+00\n", - "log(Z): -7.43421e+00, tol = 3.56947e+00, K = 1, iteration = 1072, H = 2.06465e+00\n", - "log(Z): -7.42862e+00, tol = 3.56211e+00, K = 1, iteration = 1073, H = 2.06524e+00\n", - "log(Z): -7.42307e+00, tol = 3.55476e+00, K = 1, iteration = 1074, H = 2.06582e+00\n", - "log(Z): -7.41748e+00, tol = 3.54740e+00, K = 1, iteration = 1075, H = 2.06642e+00\n", - "log(Z): -7.41193e+00, tol = 3.54006e+00, K = 1, iteration = 1076, H = 2.06701e+00\n", - "log(Z): -7.40641e+00, tol = 3.53276e+00, K = 1, iteration = 1077, H = 2.06757e+00\n", - "log(Z): -7.40089e+00, tol = 3.52546e+00, K = 1, iteration = 1078, H = 2.06814e+00\n", - "log(Z): -7.39536e+00, tol = 3.51815e+00, K = 1, iteration = 1079, H = 2.06872e+00\n", - "log(Z): -7.38982e+00, tol = 3.51084e+00, K = 1, iteration = 1080, H = 2.06932e+00\n", - "log(Z): -7.38431e+00, tol = 3.50356e+00, K = 1, iteration = 1081, H = 2.06989e+00\n", - "log(Z): -7.37881e+00, tol = 3.49628e+00, K = 1, iteration = 1082, H = 2.07048e+00\n", - "log(Z): -7.37330e+00, tol = 3.48900e+00, K = 1, iteration = 1083, H = 2.07107e+00\n", - "log(Z): -7.36782e+00, tol = 3.48175e+00, K = 1, iteration = 1084, H = 2.07163e+00\n", - "log(Z): -7.36238e+00, tol = 3.47454e+00, K = 1, iteration = 1085, H = 2.07216e+00\n", - "log(Z): -7.35698e+00, tol = 3.46737e+00, K = 1, iteration = 1086, H = 2.07266e+00\n", - "log(Z): -7.35158e+00, tol = 3.46020e+00, K = 1, iteration = 1087, H = 2.07317e+00\n", - "log(Z): -7.34619e+00, tol = 3.45304e+00, K = 1, iteration = 1088, H = 2.07367e+00\n", - "log(Z): -7.34082e+00, tol = 3.44591e+00, K = 1, iteration = 1089, H = 2.07415e+00\n", - "log(Z): -7.33549e+00, tol = 3.43881e+00, K = 1, iteration = 1090, H = 2.07461e+00\n", - "log(Z): -7.33016e+00, tol = 3.43172e+00, K = 1, iteration = 1091, H = 2.07507e+00\n", - "log(Z): -7.32486e+00, tol = 3.42465e+00, K = 1, iteration = 1092, H = 2.07550e+00\n", - "log(Z): -7.31958e+00, tol = 3.41762e+00, K = 1, iteration = 1093, H = 2.07592e+00\n", - "log(Z): -7.31433e+00, tol = 3.41060e+00, K = 1, iteration = 1094, H = 2.07633e+00\n", - "log(Z): -7.30908e+00, tol = 3.40359e+00, K = 1, iteration = 1095, H = 2.07673e+00\n", - "log(Z): -7.30387e+00, tol = 3.39662e+00, K = 1, iteration = 1096, H = 2.07710e+00\n", - "log(Z): -7.29866e+00, tol = 3.38965e+00, K = 1, iteration = 1097, H = 2.07749e+00\n", - "log(Z): -7.29346e+00, tol = 3.38270e+00, K = 1, iteration = 1098, H = 2.07786e+00\n", - "log(Z): -7.28830e+00, tol = 3.37579e+00, K = 1, iteration = 1099, H = 2.07820e+00\n", - "log(Z): -7.28317e+00, tol = 3.36890e+00, K = 1, iteration = 1100, H = 2.07853e+00\n", - "log(Z): -7.27807e+00, tol = 3.36204e+00, K = 1, iteration = 1101, H = 2.07883e+00\n", - "log(Z): -7.27294e+00, tol = 3.35516e+00, K = 1, iteration = 1102, H = 2.07916e+00\n", - "log(Z): -7.26781e+00, tol = 3.34828e+00, K = 1, iteration = 1103, H = 2.07951e+00\n", - "log(Z): -7.26270e+00, tol = 3.34142e+00, K = 1, iteration = 1104, H = 2.07985e+00\n", - "log(Z): -7.25762e+00, tol = 3.33459e+00, K = 1, iteration = 1105, H = 2.08016e+00\n", - "log(Z): -7.25257e+00, tol = 3.32780e+00, K = 1, iteration = 1106, H = 2.08044e+00\n", - "log(Z): -7.24755e+00, tol = 3.32103e+00, K = 1, iteration = 1107, H = 2.08071e+00\n", - "log(Z): -7.24254e+00, tol = 3.31428e+00, K = 1, iteration = 1108, H = 2.08097e+00\n", - "log(Z): -7.23757e+00, tol = 3.30755e+00, K = 1, iteration = 1109, H = 2.08120e+00\n", - "log(Z): -7.23262e+00, tol = 3.30086e+00, K = 1, iteration = 1110, H = 2.08142e+00\n", - "log(Z): -7.22765e+00, tol = 3.29415e+00, K = 1, iteration = 1111, H = 2.08167e+00\n", - "log(Z): -7.22268e+00, tol = 3.28744e+00, K = 1, iteration = 1112, H = 2.08192e+00\n", - "log(Z): -7.21770e+00, tol = 3.28072e+00, K = 1, iteration = 1113, H = 2.08220e+00\n", - "log(Z): -7.21269e+00, tol = 3.27397e+00, K = 1, iteration = 1114, H = 2.08251e+00\n", - "log(Z): -7.20771e+00, tol = 3.26726e+00, K = 1, iteration = 1115, H = 2.08280e+00\n", - "log(Z): -7.20276e+00, tol = 3.26058e+00, K = 1, iteration = 1116, H = 2.08307e+00\n", - "log(Z): -7.19783e+00, tol = 3.25391e+00, K = 1, iteration = 1117, H = 2.08333e+00\n", - "log(Z): -7.19290e+00, tol = 3.24725e+00, K = 1, iteration = 1118, H = 2.08360e+00\n", - "log(Z): -7.18799e+00, tol = 3.24061e+00, K = 1, iteration = 1119, H = 2.08385e+00\n", - "log(Z): -7.18309e+00, tol = 3.23399e+00, K = 1, iteration = 1120, H = 2.08409e+00\n", - "log(Z): -7.17818e+00, tol = 3.22735e+00, K = 1, iteration = 1121, H = 2.08436e+00\n", - "log(Z): -7.17329e+00, tol = 3.22073e+00, K = 1, iteration = 1122, H = 2.08462e+00\n", - "log(Z): -7.16839e+00, tol = 3.21411e+00, K = 1, iteration = 1123, H = 2.08490e+00\n", - "log(Z): -7.16352e+00, tol = 3.20751e+00, K = 1, iteration = 1124, H = 2.08515e+00\n", - "log(Z): -7.15861e+00, tol = 3.20088e+00, K = 1, iteration = 1125, H = 2.08546e+00\n", - "log(Z): -7.15371e+00, tol = 3.19426e+00, K = 1, iteration = 1126, H = 2.08576e+00\n", - "log(Z): -7.14878e+00, tol = 3.18762e+00, K = 1, iteration = 1127, H = 2.08610e+00\n", - "log(Z): -7.14382e+00, tol = 3.18095e+00, K = 1, iteration = 1128, H = 2.08648e+00\n", - "log(Z): -7.13888e+00, tol = 3.17430e+00, K = 1, iteration = 1129, H = 2.08685e+00\n", - "log(Z): -7.13397e+00, tol = 3.16768e+00, K = 1, iteration = 1130, H = 2.08719e+00\n", - "log(Z): -7.12909e+00, tol = 3.16109e+00, K = 1, iteration = 1131, H = 2.08751e+00\n", - "log(Z): -7.12423e+00, tol = 3.15452e+00, K = 1, iteration = 1132, H = 2.08782e+00\n", - "log(Z): -7.11939e+00, tol = 3.14797e+00, K = 1, iteration = 1133, H = 2.08811e+00\n", - "log(Z): -7.11456e+00, tol = 3.14143e+00, K = 1, iteration = 1134, H = 2.08841e+00\n", - "log(Z): -7.10973e+00, tol = 3.13490e+00, K = 1, iteration = 1135, H = 2.08871e+00\n", - "log(Z): -7.10492e+00, tol = 3.12839e+00, K = 1, iteration = 1136, H = 2.08899e+00\n", - "log(Z): -7.10011e+00, tol = 3.12188e+00, K = 1, iteration = 1137, H = 2.08929e+00\n", - "log(Z): -7.09532e+00, tol = 3.11538e+00, K = 1, iteration = 1138, H = 2.08958e+00\n", - "log(Z): -7.09050e+00, tol = 3.10887e+00, K = 1, iteration = 1139, H = 2.08989e+00\n", - "log(Z): -7.08571e+00, tol = 3.10238e+00, K = 1, iteration = 1140, H = 2.09020e+00\n", - "log(Z): -7.08091e+00, tol = 3.09590e+00, K = 1, iteration = 1141, H = 2.09051e+00\n", - "log(Z): -7.07614e+00, tol = 3.08943e+00, K = 1, iteration = 1142, H = 2.09081e+00\n", - "log(Z): -7.07137e+00, tol = 3.08297e+00, K = 1, iteration = 1143, H = 2.09111e+00\n", - "log(Z): -7.06663e+00, tol = 3.07654e+00, K = 1, iteration = 1144, H = 2.09138e+00\n", - "log(Z): -7.06192e+00, tol = 3.07014e+00, K = 1, iteration = 1145, H = 2.09164e+00\n", - "log(Z): -7.05723e+00, tol = 3.06376e+00, K = 1, iteration = 1146, H = 2.09188e+00\n", - "log(Z): -7.05255e+00, tol = 3.05739e+00, K = 1, iteration = 1147, H = 2.09212e+00\n", - "log(Z): -7.04790e+00, tol = 3.05106e+00, K = 1, iteration = 1148, H = 2.09233e+00\n", - "log(Z): -7.04327e+00, tol = 3.04474e+00, K = 1, iteration = 1149, H = 2.09254e+00\n", - "log(Z): -7.03867e+00, tol = 3.03846e+00, K = 1, iteration = 1150, H = 2.09272e+00\n", - "log(Z): -7.03409e+00, tol = 3.03219e+00, K = 1, iteration = 1151, H = 2.09289e+00\n", - "log(Z): -7.02949e+00, tol = 3.02592e+00, K = 1, iteration = 1152, H = 2.09308e+00\n", - "log(Z): -7.02493e+00, tol = 3.01967e+00, K = 1, iteration = 1153, H = 2.09325e+00\n", - "log(Z): -7.02036e+00, tol = 3.01342e+00, K = 1, iteration = 1154, H = 2.09343e+00\n", - "log(Z): -7.01581e+00, tol = 3.00720e+00, K = 1, iteration = 1155, H = 2.09360e+00\n", - "log(Z): -7.01128e+00, tol = 3.00099e+00, K = 1, iteration = 1156, H = 2.09376e+00\n", - "log(Z): -7.00677e+00, tol = 2.99480e+00, K = 1, iteration = 1157, H = 2.09391e+00\n", - "log(Z): -7.00225e+00, tol = 2.98861e+00, K = 1, iteration = 1158, H = 2.09407e+00\n", - "log(Z): -6.99775e+00, tol = 2.98244e+00, K = 1, iteration = 1159, H = 2.09422e+00\n", - "log(Z): -6.99328e+00, tol = 2.97630e+00, K = 1, iteration = 1160, H = 2.09435e+00\n", - "log(Z): -6.98884e+00, tol = 2.97019e+00, K = 1, iteration = 1161, H = 2.09446e+00\n", - "log(Z): -6.98440e+00, tol = 2.96408e+00, K = 1, iteration = 1162, H = 2.09457e+00\n", - "log(Z): -6.97999e+00, tol = 2.95800e+00, K = 1, iteration = 1163, H = 2.09467e+00\n", - "log(Z): -6.97560e+00, tol = 2.95194e+00, K = 1, iteration = 1164, H = 2.09475e+00\n", - "log(Z): -6.97122e+00, tol = 2.94590e+00, K = 1, iteration = 1165, H = 2.09483e+00\n", - "log(Z): -6.96685e+00, tol = 2.93987e+00, K = 1, iteration = 1166, H = 2.09490e+00\n", - "log(Z): -6.96250e+00, tol = 2.93385e+00, K = 1, iteration = 1167, H = 2.09497e+00\n", - "log(Z): -6.95814e+00, tol = 2.92784e+00, K = 1, iteration = 1168, H = 2.09505e+00\n", - "log(Z): -6.95381e+00, tol = 2.92184e+00, K = 1, iteration = 1169, H = 2.09512e+00\n", - "log(Z): -6.94949e+00, tol = 2.91586e+00, K = 1, iteration = 1170, H = 2.09518e+00\n", - "log(Z): -6.94520e+00, tol = 2.90991e+00, K = 1, iteration = 1171, H = 2.09522e+00\n", - "log(Z): -6.94090e+00, tol = 2.90396e+00, K = 1, iteration = 1172, H = 2.09527e+00\n", - "log(Z): -6.93661e+00, tol = 2.89801e+00, K = 1, iteration = 1173, H = 2.09533e+00\n", - "log(Z): -6.93231e+00, tol = 2.89206e+00, K = 1, iteration = 1174, H = 2.09540e+00\n", - "log(Z): -6.92803e+00, tol = 2.88614e+00, K = 1, iteration = 1175, H = 2.09546e+00\n", - "log(Z): -6.92377e+00, tol = 2.88023e+00, K = 1, iteration = 1176, H = 2.09551e+00\n", - "log(Z): -6.91954e+00, tol = 2.87434e+00, K = 1, iteration = 1177, H = 2.09554e+00\n", - "log(Z): -6.91532e+00, tol = 2.86847e+00, K = 1, iteration = 1178, H = 2.09557e+00\n", - "log(Z): -6.91109e+00, tol = 2.86260e+00, K = 1, iteration = 1179, H = 2.09561e+00\n", - "log(Z): -6.90689e+00, tol = 2.85676e+00, K = 1, iteration = 1180, H = 2.09563e+00\n", - "log(Z): -6.90270e+00, tol = 2.85092e+00, K = 1, iteration = 1181, H = 2.09566e+00\n", - "log(Z): -6.89851e+00, tol = 2.84509e+00, K = 1, iteration = 1182, H = 2.09569e+00\n", - "log(Z): -6.89434e+00, tol = 2.83928e+00, K = 1, iteration = 1183, H = 2.09570e+00\n", - "log(Z): -6.89017e+00, tol = 2.83347e+00, K = 1, iteration = 1184, H = 2.09572e+00\n", - "log(Z): -6.88597e+00, tol = 2.82764e+00, K = 1, iteration = 1185, H = 2.09578e+00\n", - "log(Z): -6.88180e+00, tol = 2.82183e+00, K = 1, iteration = 1186, H = 2.09583e+00\n", - "log(Z): -6.87764e+00, tol = 2.81604e+00, K = 1, iteration = 1187, H = 2.09587e+00\n", - "log(Z): -6.87351e+00, tol = 2.81028e+00, K = 1, iteration = 1188, H = 2.09589e+00\n", - "log(Z): -6.86939e+00, tol = 2.80453e+00, K = 1, iteration = 1189, H = 2.09590e+00\n", - "log(Z): -6.86529e+00, tol = 2.79880e+00, K = 1, iteration = 1190, H = 2.09591e+00\n", - "log(Z): -6.86121e+00, tol = 2.79309e+00, K = 1, iteration = 1191, H = 2.09590e+00\n", - "log(Z): -6.85712e+00, tol = 2.78737e+00, K = 1, iteration = 1192, H = 2.09591e+00\n", - "log(Z): -6.85301e+00, tol = 2.78165e+00, K = 1, iteration = 1193, H = 2.09594e+00\n", - "log(Z): -6.84893e+00, tol = 2.77594e+00, K = 1, iteration = 1194, H = 2.09596e+00\n", - "log(Z): -6.84487e+00, tol = 2.77026e+00, K = 1, iteration = 1195, H = 2.09597e+00\n", - "log(Z): -6.84082e+00, tol = 2.76459e+00, K = 1, iteration = 1196, H = 2.09597e+00\n", - "log(Z): -6.83679e+00, tol = 2.75894e+00, K = 1, iteration = 1197, H = 2.09596e+00\n", - "log(Z): -6.83278e+00, tol = 2.75331e+00, K = 1, iteration = 1198, H = 2.09594e+00\n", - "log(Z): -6.82877e+00, tol = 2.74768e+00, K = 1, iteration = 1199, H = 2.09593e+00\n", - "log(Z): -6.82476e+00, tol = 2.74206e+00, K = 1, iteration = 1200, H = 2.09592e+00\n", - "log(Z): -6.82076e+00, tol = 2.73645e+00, K = 1, iteration = 1201, H = 2.09591e+00\n", - "log(Z): -6.81677e+00, tol = 2.73085e+00, K = 1, iteration = 1202, H = 2.09591e+00\n", - "log(Z): -6.81280e+00, tol = 2.72527e+00, K = 1, iteration = 1203, H = 2.09588e+00\n", - "log(Z): -6.80885e+00, tol = 2.71971e+00, K = 1, iteration = 1204, H = 2.09585e+00\n", - "log(Z): -6.80492e+00, tol = 2.71417e+00, K = 1, iteration = 1205, H = 2.09581e+00\n", - "log(Z): -6.80099e+00, tol = 2.70863e+00, K = 1, iteration = 1206, H = 2.09577e+00\n", - "log(Z): -6.79709e+00, tol = 2.70312e+00, K = 1, iteration = 1207, H = 2.09572e+00\n", - "log(Z): -6.79317e+00, tol = 2.69760e+00, K = 1, iteration = 1208, H = 2.09568e+00\n", - "log(Z): -6.78924e+00, tol = 2.69208e+00, K = 1, iteration = 1209, H = 2.09567e+00\n", - "log(Z): -6.78529e+00, tol = 2.68653e+00, K = 1, iteration = 1210, H = 2.09568e+00\n", - "log(Z): -6.78136e+00, tol = 2.68101e+00, K = 1, iteration = 1211, H = 2.09568e+00\n", - "log(Z): -6.77745e+00, tol = 2.67551e+00, K = 1, iteration = 1212, H = 2.09567e+00\n", - "log(Z): -6.77357e+00, tol = 2.67002e+00, K = 1, iteration = 1213, H = 2.09565e+00\n", - "log(Z): -6.76970e+00, tol = 2.66456e+00, K = 1, iteration = 1214, H = 2.09562e+00\n", - "log(Z): -6.76584e+00, tol = 2.65912e+00, K = 1, iteration = 1215, H = 2.09558e+00\n", - "log(Z): -6.76201e+00, tol = 2.65369e+00, K = 1, iteration = 1216, H = 2.09553e+00\n", - "log(Z): -6.75813e+00, tol = 2.64822e+00, K = 1, iteration = 1217, H = 2.09553e+00\n", - "log(Z): -6.75424e+00, tol = 2.64276e+00, K = 1, iteration = 1218, H = 2.09554e+00\n", - "log(Z): -6.75038e+00, tol = 2.63732e+00, K = 1, iteration = 1219, H = 2.09553e+00\n", - "log(Z): -6.74654e+00, tol = 2.63190e+00, K = 1, iteration = 1220, H = 2.09552e+00\n", - "log(Z): -6.74272e+00, tol = 2.62649e+00, K = 1, iteration = 1221, H = 2.09550e+00\n", - "log(Z): -6.73891e+00, tol = 2.62110e+00, K = 1, iteration = 1222, H = 2.09547e+00\n", - "log(Z): -6.73510e+00, tol = 2.61572e+00, K = 1, iteration = 1223, H = 2.09544e+00\n", - "log(Z): -6.73131e+00, tol = 2.61036e+00, K = 1, iteration = 1224, H = 2.09540e+00\n", - "log(Z): -6.72752e+00, tol = 2.60499e+00, K = 1, iteration = 1225, H = 2.09537e+00\n", - "log(Z): -6.72375e+00, tol = 2.59965e+00, K = 1, iteration = 1226, H = 2.09534e+00\n", - "log(Z): -6.71998e+00, tol = 2.59431e+00, K = 1, iteration = 1227, H = 2.09530e+00\n", - "log(Z): -6.71621e+00, tol = 2.58897e+00, K = 1, iteration = 1228, H = 2.09528e+00\n", - "log(Z): -6.71244e+00, tol = 2.58363e+00, K = 1, iteration = 1229, H = 2.09527e+00\n", - "log(Z): -6.70866e+00, tol = 2.57829e+00, K = 1, iteration = 1230, H = 2.09527e+00\n", - "log(Z): -6.70489e+00, tol = 2.57296e+00, K = 1, iteration = 1231, H = 2.09526e+00\n", - "log(Z): -6.70114e+00, tol = 2.56765e+00, K = 1, iteration = 1232, H = 2.09525e+00\n", - "log(Z): -6.69739e+00, tol = 2.56235e+00, K = 1, iteration = 1233, H = 2.09524e+00\n", - "log(Z): -6.69364e+00, tol = 2.55704e+00, K = 1, iteration = 1234, H = 2.09524e+00\n", - "log(Z): -6.68988e+00, tol = 2.55173e+00, K = 1, iteration = 1235, H = 2.09526e+00\n", - "log(Z): -6.68611e+00, tol = 2.54641e+00, K = 1, iteration = 1236, H = 2.09530e+00\n", - "log(Z): -6.68235e+00, tol = 2.54110e+00, K = 1, iteration = 1237, H = 2.09534e+00\n", - "log(Z): -6.67860e+00, tol = 2.53580e+00, K = 1, iteration = 1238, H = 2.09537e+00\n", - "log(Z): -6.67486e+00, tol = 2.53052e+00, K = 1, iteration = 1239, H = 2.09539e+00\n", - "log(Z): -6.67114e+00, tol = 2.52526e+00, K = 1, iteration = 1240, H = 2.09541e+00\n", - "log(Z): -6.66741e+00, tol = 2.51999e+00, K = 1, iteration = 1241, H = 2.09544e+00\n", - "log(Z): -6.66366e+00, tol = 2.51470e+00, K = 1, iteration = 1242, H = 2.09550e+00\n", - "log(Z): -6.65993e+00, tol = 2.50943e+00, K = 1, iteration = 1243, H = 2.09555e+00\n", - "log(Z): -6.65619e+00, tol = 2.50417e+00, K = 1, iteration = 1244, H = 2.09561e+00\n", - "log(Z): -6.65248e+00, tol = 2.49892e+00, K = 1, iteration = 1245, H = 2.09566e+00\n", - "log(Z): -6.64875e+00, tol = 2.49366e+00, K = 1, iteration = 1246, H = 2.09573e+00\n", - "log(Z): -6.64504e+00, tol = 2.48843e+00, K = 1, iteration = 1247, H = 2.09578e+00\n", - "log(Z): -6.64135e+00, tol = 2.48321e+00, K = 1, iteration = 1248, H = 2.09582e+00\n", - "log(Z): -6.63768e+00, tol = 2.47801e+00, K = 1, iteration = 1249, H = 2.09586e+00\n", - "log(Z): -6.63401e+00, tol = 2.47282e+00, K = 1, iteration = 1250, H = 2.09589e+00\n", - "log(Z): -6.63037e+00, tol = 2.46766e+00, K = 1, iteration = 1251, H = 2.09591e+00\n", - "log(Z): -6.62675e+00, tol = 2.46251e+00, K = 1, iteration = 1252, H = 2.09591e+00\n", - "log(Z): -6.62314e+00, tol = 2.45738e+00, K = 1, iteration = 1253, H = 2.09591e+00\n", - "log(Z): -6.61955e+00, tol = 2.45227e+00, K = 1, iteration = 1254, H = 2.09590e+00\n", - "log(Z): -6.61596e+00, tol = 2.44717e+00, K = 1, iteration = 1255, H = 2.09589e+00\n", - "log(Z): -6.61237e+00, tol = 2.44207e+00, K = 1, iteration = 1256, H = 2.09588e+00\n", - "log(Z): -6.60881e+00, tol = 2.43698e+00, K = 1, iteration = 1257, H = 2.09587e+00\n", - "log(Z): -6.60525e+00, tol = 2.43192e+00, K = 1, iteration = 1258, H = 2.09585e+00\n", - "log(Z): -6.60171e+00, tol = 2.42686e+00, K = 1, iteration = 1259, H = 2.09582e+00\n", - "log(Z): -6.59819e+00, tol = 2.42183e+00, K = 1, iteration = 1260, H = 2.09578e+00\n", - "log(Z): -6.59468e+00, tol = 2.41681e+00, K = 1, iteration = 1261, H = 2.09574e+00\n", - "log(Z): -6.59117e+00, tol = 2.41180e+00, K = 1, iteration = 1262, H = 2.09570e+00\n", - "log(Z): -6.58765e+00, tol = 2.40677e+00, K = 1, iteration = 1263, H = 2.09568e+00\n", - "log(Z): -6.58414e+00, tol = 2.40176e+00, K = 1, iteration = 1264, H = 2.09566e+00\n", - "log(Z): -6.58066e+00, tol = 2.39677e+00, K = 1, iteration = 1265, H = 2.09562e+00\n", - "log(Z): -6.57717e+00, tol = 2.39179e+00, K = 1, iteration = 1266, H = 2.09559e+00\n", - "log(Z): -6.57369e+00, tol = 2.38681e+00, K = 1, iteration = 1267, H = 2.09556e+00\n", - "log(Z): -6.57022e+00, tol = 2.38184e+00, K = 1, iteration = 1268, H = 2.09553e+00\n", - "log(Z): -6.56677e+00, tol = 2.37690e+00, K = 1, iteration = 1269, H = 2.09548e+00\n", - "log(Z): -6.56334e+00, tol = 2.37197e+00, K = 1, iteration = 1270, H = 2.09542e+00\n", - "log(Z): -6.55993e+00, tol = 2.36707e+00, K = 1, iteration = 1271, H = 2.09536e+00\n", - "log(Z): -6.55651e+00, tol = 2.36216e+00, K = 1, iteration = 1272, H = 2.09530e+00\n", - "log(Z): -6.55310e+00, tol = 2.35726e+00, K = 1, iteration = 1273, H = 2.09524e+00\n", - "log(Z): -6.54968e+00, tol = 2.35235e+00, K = 1, iteration = 1274, H = 2.09520e+00\n", - "log(Z): -6.54628e+00, tol = 2.34747e+00, K = 1, iteration = 1275, H = 2.09515e+00\n", - "log(Z): -6.54286e+00, tol = 2.34256e+00, K = 1, iteration = 1276, H = 2.09513e+00\n", - "log(Z): -6.53945e+00, tol = 2.33768e+00, K = 1, iteration = 1277, H = 2.09510e+00\n", - "log(Z): -6.53605e+00, tol = 2.33591e+00, K = 1, iteration = 1278, H = 2.09506e+00\n", - "log(Z): -6.53264e+00, tol = 2.33102e+00, K = 1, iteration = 1279, H = 2.09504e+00\n", - "log(Z): -6.52922e+00, tol = 2.32613e+00, K = 1, iteration = 1280, H = 2.09505e+00\n", - "log(Z): -6.52581e+00, tol = 2.32125e+00, K = 1, iteration = 1281, H = 2.09504e+00\n", - "log(Z): -6.52241e+00, tol = 2.31638e+00, K = 1, iteration = 1282, H = 2.09504e+00\n", - "log(Z): -6.51901e+00, tol = 2.31151e+00, K = 1, iteration = 1283, H = 2.09505e+00\n", - "log(Z): -6.51560e+00, tol = 2.30665e+00, K = 1, iteration = 1284, H = 2.09506e+00\n", - "log(Z): -6.51222e+00, tol = 2.30179e+00, K = 1, iteration = 1285, H = 2.09506e+00\n", - "log(Z): -6.50883e+00, tol = 2.29694e+00, K = 1, iteration = 1286, H = 2.09507e+00\n", - "log(Z): -6.50545e+00, tol = 2.29211e+00, K = 1, iteration = 1287, H = 2.09508e+00\n", - "log(Z): -6.50208e+00, tol = 2.28728e+00, K = 1, iteration = 1288, H = 2.09508e+00\n", - "log(Z): -6.49870e+00, tol = 2.28246e+00, K = 1, iteration = 1289, H = 2.09510e+00\n", - "log(Z): -6.49534e+00, tol = 2.27764e+00, K = 1, iteration = 1290, H = 2.09511e+00\n", - "log(Z): -6.49199e+00, tol = 2.27284e+00, K = 1, iteration = 1291, H = 2.09512e+00\n", - "log(Z): -6.48865e+00, tol = 2.26805e+00, K = 1, iteration = 1292, H = 2.09513e+00\n", - "log(Z): -6.48532e+00, tol = 2.26328e+00, K = 1, iteration = 1293, H = 2.09512e+00\n", - "log(Z): -6.48200e+00, tol = 2.25851e+00, K = 1, iteration = 1294, H = 2.09512e+00\n", - "log(Z): -6.47868e+00, tol = 2.25375e+00, K = 1, iteration = 1295, H = 2.09512e+00\n", - "log(Z): -6.47537e+00, tol = 2.24900e+00, K = 1, iteration = 1296, H = 2.09512e+00\n", - "log(Z): -6.47207e+00, tol = 2.24426e+00, K = 1, iteration = 1297, H = 2.09511e+00\n", - "log(Z): -6.46879e+00, tol = 2.23954e+00, K = 1, iteration = 1298, H = 2.09510e+00\n", - "log(Z): -6.46550e+00, tol = 2.23481e+00, K = 1, iteration = 1299, H = 2.09509e+00\n", - "log(Z): -6.46221e+00, tol = 2.23009e+00, K = 1, iteration = 1300, H = 2.09510e+00\n", - "log(Z): -6.45892e+00, tol = 2.22537e+00, K = 1, iteration = 1301, H = 2.09511e+00\n", - "log(Z): -6.45564e+00, tol = 2.22066e+00, K = 1, iteration = 1302, H = 2.09512e+00\n", - "log(Z): -6.45238e+00, tol = 2.21598e+00, K = 1, iteration = 1303, H = 2.09512e+00\n", - "log(Z): -6.44913e+00, tol = 2.21130e+00, K = 1, iteration = 1304, H = 2.09511e+00\n", - "log(Z): -6.44588e+00, tol = 2.20663e+00, K = 1, iteration = 1305, H = 2.09510e+00\n", - "log(Z): -6.44265e+00, tol = 2.20197e+00, K = 1, iteration = 1306, H = 2.09509e+00\n", - "log(Z): -6.43942e+00, tol = 2.19732e+00, K = 1, iteration = 1307, H = 2.09508e+00\n", - "log(Z): -6.43619e+00, tol = 2.19267e+00, K = 1, iteration = 1308, H = 2.09509e+00\n", - "log(Z): -6.43296e+00, tol = 2.18803e+00, K = 1, iteration = 1309, H = 2.09508e+00\n", - "log(Z): -6.42975e+00, tol = 2.18341e+00, K = 1, iteration = 1310, H = 2.09507e+00\n", - "log(Z): -6.42655e+00, tol = 2.17880e+00, K = 1, iteration = 1311, H = 2.09506e+00\n", - "log(Z): -6.42337e+00, tol = 2.17420e+00, K = 1, iteration = 1312, H = 2.09503e+00\n", - "log(Z): -6.42020e+00, tol = 2.16962e+00, K = 1, iteration = 1313, H = 2.09500e+00\n", - "log(Z): -6.41705e+00, tol = 2.16506e+00, K = 1, iteration = 1314, H = 2.09496e+00\n", - "log(Z): -6.41390e+00, tol = 2.16050e+00, K = 1, iteration = 1315, H = 2.09493e+00\n", - "log(Z): -6.41074e+00, tol = 2.15594e+00, K = 1, iteration = 1316, H = 2.09490e+00\n", - "log(Z): -6.40760e+00, tol = 2.15139e+00, K = 1, iteration = 1317, H = 2.09487e+00\n", - "log(Z): -6.40447e+00, tol = 2.14686e+00, K = 1, iteration = 1318, H = 2.09483e+00\n", - "log(Z): -6.40135e+00, tol = 2.14234e+00, K = 1, iteration = 1319, H = 2.09479e+00\n", - "log(Z): -6.39825e+00, tol = 2.13784e+00, K = 1, iteration = 1320, H = 2.09474e+00\n", - "log(Z): -6.39516e+00, tol = 2.13335e+00, K = 1, iteration = 1321, H = 2.09468e+00\n", - "log(Z): -6.39208e+00, tol = 2.12888e+00, K = 1, iteration = 1322, H = 2.09462e+00\n", - "log(Z): -6.38902e+00, tol = 2.12441e+00, K = 1, iteration = 1323, H = 2.09455e+00\n", - "log(Z): -6.38595e+00, tol = 2.11996e+00, K = 1, iteration = 1324, H = 2.09448e+00\n", - "log(Z): -6.38290e+00, tol = 2.11551e+00, K = 1, iteration = 1325, H = 2.09442e+00\n", - "log(Z): -6.37985e+00, tol = 2.11108e+00, K = 1, iteration = 1326, H = 2.09435e+00\n", - "log(Z): -6.37683e+00, tol = 2.10666e+00, K = 1, iteration = 1327, H = 2.09427e+00\n", - "log(Z): -6.37380e+00, tol = 2.10225e+00, K = 1, iteration = 1328, H = 2.09419e+00\n", - "log(Z): -6.37080e+00, tol = 2.09785e+00, K = 1, iteration = 1329, H = 2.09410e+00\n", - "log(Z): -6.36779e+00, tol = 2.09346e+00, K = 1, iteration = 1330, H = 2.09402e+00\n", - "log(Z): -6.36478e+00, tol = 2.08907e+00, K = 1, iteration = 1331, H = 2.09395e+00\n", - "log(Z): -6.36176e+00, tol = 2.08468e+00, K = 1, iteration = 1332, H = 2.09389e+00\n", - "log(Z): -6.35875e+00, tol = 2.08029e+00, K = 1, iteration = 1333, H = 2.09382e+00\n", - "log(Z): -6.35575e+00, tol = 2.07592e+00, K = 1, iteration = 1334, H = 2.09376e+00\n", - "log(Z): -6.35276e+00, tol = 2.07156e+00, K = 1, iteration = 1335, H = 2.09369e+00\n", - "log(Z): -6.34978e+00, tol = 2.06720e+00, K = 1, iteration = 1336, H = 2.09362e+00\n", - "log(Z): -6.34681e+00, tol = 2.06286e+00, K = 1, iteration = 1337, H = 2.09355e+00\n", - "log(Z): -6.34383e+00, tol = 2.05852e+00, K = 1, iteration = 1338, H = 2.09349e+00\n", - "log(Z): -6.34087e+00, tol = 2.05419e+00, K = 1, iteration = 1339, H = 2.09342e+00\n", - "log(Z): -6.33792e+00, tol = 2.04988e+00, K = 1, iteration = 1340, H = 2.09334e+00\n", - "log(Z): -6.33498e+00, tol = 2.04558e+00, K = 1, iteration = 1341, H = 2.09326e+00\n", - "log(Z): -6.33204e+00, tol = 2.04128e+00, K = 1, iteration = 1342, H = 2.09318e+00\n", - "log(Z): -6.32911e+00, tol = 2.03698e+00, K = 1, iteration = 1343, H = 2.09311e+00\n", - "log(Z): -6.32617e+00, tol = 2.03269e+00, K = 1, iteration = 1344, H = 2.09305e+00\n", - "log(Z): -6.32324e+00, tol = 2.02841e+00, K = 1, iteration = 1345, H = 2.09298e+00\n", - "log(Z): -6.32032e+00, tol = 2.02414e+00, K = 1, iteration = 1346, H = 2.09291e+00\n", - "log(Z): -6.31741e+00, tol = 2.01988e+00, K = 1, iteration = 1347, H = 2.09285e+00\n", - "log(Z): -6.31450e+00, tol = 2.01562e+00, K = 1, iteration = 1348, H = 2.09278e+00\n", - "log(Z): -6.31160e+00, tol = 2.01137e+00, K = 1, iteration = 1349, H = 2.09271e+00\n", - "log(Z): -6.30871e+00, tol = 2.00714e+00, K = 1, iteration = 1350, H = 2.09263e+00\n", - "log(Z): -6.30584e+00, tol = 2.00292e+00, K = 1, iteration = 1351, H = 2.09255e+00\n", - "log(Z): -6.30297e+00, tol = 1.99872e+00, K = 1, iteration = 1352, H = 2.09246e+00\n", - "log(Z): -6.30012e+00, tol = 1.99452e+00, K = 1, iteration = 1353, H = 2.09237e+00\n", - "log(Z): -6.29728e+00, tol = 1.99034e+00, K = 1, iteration = 1354, H = 2.09227e+00\n", - "log(Z): -6.29443e+00, tol = 1.98616e+00, K = 1, iteration = 1355, H = 2.09219e+00\n", - "log(Z): -6.29160e+00, tol = 1.98199e+00, K = 1, iteration = 1356, H = 2.09210e+00\n", - "log(Z): -6.28876e+00, tol = 1.97782e+00, K = 1, iteration = 1357, H = 2.09201e+00\n", - "log(Z): -6.28591e+00, tol = 1.97364e+00, K = 1, iteration = 1358, H = 2.09195e+00\n", - "log(Z): -6.28306e+00, tol = 1.96947e+00, K = 1, iteration = 1359, H = 2.09189e+00\n", - "log(Z): -6.28023e+00, tol = 1.96531e+00, K = 1, iteration = 1360, H = 2.09182e+00\n", - "log(Z): -6.27740e+00, tol = 1.96117e+00, K = 1, iteration = 1361, H = 2.09174e+00\n", - "log(Z): -6.27459e+00, tol = 1.95703e+00, K = 1, iteration = 1362, H = 2.09166e+00\n", - "log(Z): -6.27179e+00, tol = 1.95291e+00, K = 1, iteration = 1363, H = 2.09158e+00\n", - "log(Z): -6.26900e+00, tol = 1.94880e+00, K = 1, iteration = 1364, H = 2.09150e+00\n", - "log(Z): -6.26617e+00, tol = 1.94466e+00, K = 1, iteration = 1365, H = 2.09145e+00\n", - "log(Z): -6.26335e+00, tol = 1.94053e+00, K = 1, iteration = 1366, H = 2.09141e+00\n", - "log(Z): -6.26053e+00, tol = 1.93641e+00, K = 1, iteration = 1367, H = 2.09136e+00\n", - "log(Z): -6.25774e+00, tol = 1.93230e+00, K = 1, iteration = 1368, H = 2.09130e+00\n", - "log(Z): -6.25493e+00, tol = 1.92820e+00, K = 1, iteration = 1369, H = 2.09125e+00\n", - "log(Z): -6.25214e+00, tol = 1.92410e+00, K = 1, iteration = 1370, H = 2.09120e+00\n", - "log(Z): -6.24936e+00, tol = 1.92002e+00, K = 1, iteration = 1371, H = 2.09115e+00\n", - "log(Z): -6.24659e+00, tol = 1.91595e+00, K = 1, iteration = 1372, H = 2.09109e+00\n", - "log(Z): -6.24382e+00, tol = 1.91189e+00, K = 1, iteration = 1373, H = 2.09103e+00\n", - "log(Z): -6.24107e+00, tol = 1.90784e+00, K = 1, iteration = 1374, H = 2.09096e+00\n", - "log(Z): -6.23832e+00, tol = 1.90380e+00, K = 1, iteration = 1375, H = 2.09089e+00\n", - "log(Z): -6.23557e+00, tol = 1.89976e+00, K = 1, iteration = 1376, H = 2.09083e+00\n", - "log(Z): -6.23284e+00, tol = 1.89573e+00, K = 1, iteration = 1377, H = 2.09076e+00\n", - "log(Z): -6.23011e+00, tol = 1.89172e+00, K = 1, iteration = 1378, H = 2.09069e+00\n", - "log(Z): -6.22739e+00, tol = 1.88771e+00, K = 1, iteration = 1379, H = 2.09062e+00\n", - "log(Z): -6.22467e+00, tol = 1.88371e+00, K = 1, iteration = 1380, H = 2.09055e+00\n", - "log(Z): -6.22197e+00, tol = 1.87972e+00, K = 1, iteration = 1381, H = 2.09047e+00\n", - "log(Z): -6.21928e+00, tol = 1.87575e+00, K = 1, iteration = 1382, H = 2.09039e+00\n", - "log(Z): -6.21660e+00, tol = 1.87178e+00, K = 1, iteration = 1383, H = 2.09031e+00\n", - "log(Z): -6.21393e+00, tol = 1.86783e+00, K = 1, iteration = 1384, H = 2.09022e+00\n", - "log(Z): -6.21126e+00, tol = 1.86389e+00, K = 1, iteration = 1385, H = 2.09013e+00\n", - "log(Z): -6.20861e+00, tol = 1.85996e+00, K = 1, iteration = 1386, H = 2.09003e+00\n", - "log(Z): -6.20596e+00, tol = 1.85604e+00, K = 1, iteration = 1387, H = 2.08993e+00\n", - "log(Z): -6.20333e+00, tol = 1.85213e+00, K = 1, iteration = 1388, H = 2.08983e+00\n", - "log(Z): -6.20070e+00, tol = 1.84823e+00, K = 1, iteration = 1389, H = 2.08972e+00\n", - "log(Z): -6.19809e+00, tol = 1.84434e+00, K = 1, iteration = 1390, H = 2.08961e+00\n", - "log(Z): -6.19548e+00, tol = 1.84047e+00, K = 1, iteration = 1391, H = 2.08950e+00\n", - "log(Z): -6.19287e+00, tol = 1.83659e+00, K = 1, iteration = 1392, H = 2.08940e+00\n", - "log(Z): -6.19026e+00, tol = 1.83271e+00, K = 1, iteration = 1393, H = 2.08929e+00\n", - "log(Z): -6.18765e+00, tol = 1.82885e+00, K = 1, iteration = 1394, H = 2.08919e+00\n", - "log(Z): -6.18505e+00, tol = 1.82499e+00, K = 1, iteration = 1395, H = 2.08910e+00\n", - "log(Z): -6.18246e+00, tol = 1.82114e+00, K = 1, iteration = 1396, H = 2.08900e+00\n", - "log(Z): -6.17986e+00, tol = 1.81729e+00, K = 1, iteration = 1397, H = 2.08891e+00\n", - "log(Z): -6.17727e+00, tol = 1.81344e+00, K = 1, iteration = 1398, H = 2.08881e+00\n", - "log(Z): -6.17469e+00, tol = 1.80961e+00, K = 1, iteration = 1399, H = 2.08873e+00\n", - "log(Z): -6.17211e+00, tol = 1.80578e+00, K = 1, iteration = 1400, H = 2.08863e+00\n", - "log(Z): -6.16952e+00, tol = 1.80195e+00, K = 1, iteration = 1401, H = 2.08855e+00\n", - "log(Z): -6.16695e+00, tol = 1.79813e+00, K = 1, iteration = 1402, H = 2.08847e+00\n", - "log(Z): -6.16438e+00, tol = 1.79432e+00, K = 1, iteration = 1403, H = 2.08838e+00\n", - "log(Z): -6.16182e+00, tol = 1.79052e+00, K = 1, iteration = 1404, H = 2.08830e+00\n", - "log(Z): -6.15926e+00, tol = 1.78672e+00, K = 1, iteration = 1405, H = 2.08821e+00\n", - "log(Z): -6.15671e+00, tol = 1.78293e+00, K = 1, iteration = 1406, H = 2.08813e+00\n", - "log(Z): -6.15417e+00, tol = 1.77916e+00, K = 1, iteration = 1407, H = 2.08804e+00\n", - "log(Z): -6.15163e+00, tol = 1.77539e+00, K = 1, iteration = 1408, H = 2.08795e+00\n", - "log(Z): -6.14910e+00, tol = 1.77163e+00, K = 1, iteration = 1409, H = 2.08786e+00\n", - "log(Z): -6.14657e+00, tol = 1.76787e+00, K = 1, iteration = 1410, H = 2.08777e+00\n", - "log(Z): -6.14404e+00, tol = 1.76411e+00, K = 1, iteration = 1411, H = 2.08769e+00\n", - "log(Z): -6.14152e+00, tol = 1.76037e+00, K = 1, iteration = 1412, H = 2.08760e+00\n", - "log(Z): -6.13901e+00, tol = 1.75664e+00, K = 1, iteration = 1413, H = 2.08752e+00\n", - "log(Z): -6.13650e+00, tol = 1.75291e+00, K = 1, iteration = 1414, H = 2.08744e+00\n", - "log(Z): -6.13400e+00, tol = 1.74918e+00, K = 1, iteration = 1415, H = 2.08735e+00\n", - "log(Z): -6.13150e+00, tol = 1.74547e+00, K = 1, iteration = 1416, H = 2.08726e+00\n", - "log(Z): -6.12901e+00, tol = 1.74177e+00, K = 1, iteration = 1417, H = 2.08717e+00\n", - "log(Z): -6.12653e+00, tol = 1.73808e+00, K = 1, iteration = 1418, H = 2.08708e+00\n", - "log(Z): -6.12405e+00, tol = 1.73439e+00, K = 1, iteration = 1419, H = 2.08699e+00\n", - "log(Z): -6.12159e+00, tol = 1.73071e+00, K = 1, iteration = 1420, H = 2.08690e+00\n", - "log(Z): -6.11913e+00, tol = 1.72704e+00, K = 1, iteration = 1421, H = 2.08680e+00\n", - "log(Z): -6.11667e+00, tol = 1.72338e+00, K = 1, iteration = 1422, H = 2.08671e+00\n", - "log(Z): -6.11421e+00, tol = 1.71971e+00, K = 1, iteration = 1423, H = 2.08663e+00\n", - "log(Z): -6.11175e+00, tol = 1.71605e+00, K = 1, iteration = 1424, H = 2.08655e+00\n", - "log(Z): -6.10929e+00, tol = 1.71240e+00, K = 1, iteration = 1425, H = 2.08647e+00\n", - "log(Z): -6.10682e+00, tol = 1.70874e+00, K = 1, iteration = 1426, H = 2.08641e+00\n", - "log(Z): -6.10436e+00, tol = 1.70508e+00, K = 1, iteration = 1427, H = 2.08635e+00\n", - "log(Z): -6.10189e+00, tol = 1.70143e+00, K = 1, iteration = 1428, H = 2.08630e+00\n", - "log(Z): -6.09943e+00, tol = 1.69778e+00, K = 1, iteration = 1429, H = 2.08625e+00\n", - "log(Z): -6.09697e+00, tol = 1.69414e+00, K = 1, iteration = 1430, H = 2.08619e+00\n", - "log(Z): -6.09451e+00, tol = 1.69051e+00, K = 1, iteration = 1431, H = 2.08614e+00\n", - "log(Z): -6.09207e+00, tol = 1.68689e+00, K = 1, iteration = 1432, H = 2.08609e+00\n", - "log(Z): -6.08963e+00, tol = 1.68326e+00, K = 1, iteration = 1433, H = 2.08604e+00\n", - "log(Z): -6.08719e+00, tol = 1.67965e+00, K = 1, iteration = 1434, H = 2.08598e+00\n", - "log(Z): -6.08476e+00, tol = 1.67605e+00, K = 1, iteration = 1435, H = 2.08593e+00\n", - "log(Z): -6.08233e+00, tol = 1.67245e+00, K = 1, iteration = 1436, H = 2.08588e+00\n", - "log(Z): -6.07990e+00, tol = 1.66885e+00, K = 1, iteration = 1437, H = 2.08584e+00\n", - "log(Z): -6.07747e+00, tol = 1.66527e+00, K = 1, iteration = 1438, H = 2.08579e+00\n", - "log(Z): -6.07506e+00, tol = 1.66169e+00, K = 1, iteration = 1439, H = 2.08574e+00\n", - "log(Z): -6.07265e+00, tol = 1.65812e+00, K = 1, iteration = 1440, H = 2.08569e+00\n", - "log(Z): -6.07025e+00, tol = 1.65456e+00, K = 1, iteration = 1441, H = 2.08564e+00\n", - "log(Z): -6.06786e+00, tol = 1.65101e+00, K = 1, iteration = 1442, H = 2.08558e+00\n", - "log(Z): -6.06548e+00, tol = 1.64746e+00, K = 1, iteration = 1443, H = 2.08552e+00\n", - "log(Z): -6.06309e+00, tol = 1.64393e+00, K = 1, iteration = 1444, H = 2.08547e+00\n", - "log(Z): -6.06071e+00, tol = 1.64040e+00, K = 1, iteration = 1445, H = 2.08541e+00\n", - "log(Z): -6.05835e+00, tol = 1.63688e+00, K = 1, iteration = 1446, H = 2.08535e+00\n", - "log(Z): -6.05598e+00, tol = 1.63336e+00, K = 1, iteration = 1447, H = 2.08529e+00\n", - "log(Z): -6.05363e+00, tol = 1.62986e+00, K = 1, iteration = 1448, H = 2.08523e+00\n", - "log(Z): -6.05128e+00, tol = 1.62636e+00, K = 1, iteration = 1449, H = 2.08517e+00\n", - "log(Z): -6.04892e+00, tol = 1.62287e+00, K = 1, iteration = 1450, H = 2.08511e+00\n", - "log(Z): -6.04658e+00, tol = 1.61938e+00, K = 1, iteration = 1451, H = 2.08505e+00\n", - "log(Z): -6.04424e+00, tol = 1.61590e+00, K = 1, iteration = 1452, H = 2.08499e+00\n", - "log(Z): -6.04191e+00, tol = 1.61244e+00, K = 1, iteration = 1453, H = 2.08493e+00\n", - "log(Z): -6.03959e+00, tol = 1.60898e+00, K = 1, iteration = 1454, H = 2.08486e+00\n", - "log(Z): -6.03728e+00, tol = 1.60553e+00, K = 1, iteration = 1455, H = 2.08479e+00\n", - "log(Z): -6.03497e+00, tol = 1.60209e+00, K = 1, iteration = 1456, H = 2.08472e+00\n", - "log(Z): -6.03266e+00, tol = 1.59865e+00, K = 1, iteration = 1457, H = 2.08465e+00\n", - "log(Z): -6.03036e+00, tol = 1.59522e+00, K = 1, iteration = 1458, H = 2.08459e+00\n", - "log(Z): -6.02806e+00, tol = 1.59180e+00, K = 1, iteration = 1459, H = 2.08452e+00\n", - "log(Z): -6.02577e+00, tol = 1.58838e+00, K = 1, iteration = 1460, H = 2.08445e+00\n", - "log(Z): -6.02349e+00, tol = 1.58497e+00, K = 1, iteration = 1461, H = 2.08438e+00\n", - "log(Z): -6.02121e+00, tol = 1.58158e+00, K = 1, iteration = 1462, H = 2.08431e+00\n", - "log(Z): -6.01894e+00, tol = 1.57818e+00, K = 1, iteration = 1463, H = 2.08424e+00\n", - "log(Z): -6.01667e+00, tol = 1.57480e+00, K = 1, iteration = 1464, H = 2.08417e+00\n", - "log(Z): -6.01437e+00, tol = 1.57139e+00, K = 1, iteration = 1465, H = 2.08413e+00\n", - "log(Z): -6.01207e+00, tol = 1.56798e+00, K = 1, iteration = 1466, H = 2.08410e+00\n", - "log(Z): -6.00978e+00, tol = 1.56459e+00, K = 1, iteration = 1467, H = 2.08406e+00\n", - "log(Z): -6.00750e+00, tol = 1.56121e+00, K = 1, iteration = 1468, H = 2.08402e+00\n", - "log(Z): -6.00523e+00, tol = 1.55783e+00, K = 1, iteration = 1469, H = 2.08398e+00\n", - "log(Z): -6.00297e+00, tol = 1.55447e+00, K = 1, iteration = 1470, H = 2.08393e+00\n", - "log(Z): -6.00072e+00, tol = 1.55112e+00, K = 1, iteration = 1471, H = 2.08388e+00\n", - "log(Z): -5.99846e+00, tol = 1.54777e+00, K = 1, iteration = 1472, H = 2.08383e+00\n", - "log(Z): -5.99621e+00, tol = 1.54442e+00, K = 1, iteration = 1473, H = 2.08378e+00\n", - "log(Z): -5.99396e+00, tol = 1.54108e+00, K = 1, iteration = 1474, H = 2.08373e+00\n", - "log(Z): -5.99172e+00, tol = 1.53775e+00, K = 1, iteration = 1475, H = 2.08369e+00\n", - "log(Z): -5.98949e+00, tol = 1.53443e+00, K = 1, iteration = 1476, H = 2.08364e+00\n", - "log(Z): -5.98726e+00, tol = 1.53112e+00, K = 1, iteration = 1477, H = 2.08359e+00\n", - "log(Z): -5.98505e+00, tol = 1.52781e+00, K = 1, iteration = 1478, H = 2.08353e+00\n", - "log(Z): -5.98284e+00, tol = 1.52452e+00, K = 1, iteration = 1479, H = 2.08347e+00\n", - "log(Z): -5.98063e+00, tol = 1.52123e+00, K = 1, iteration = 1480, H = 2.08341e+00\n", - "log(Z): -5.97842e+00, tol = 1.51794e+00, K = 1, iteration = 1481, H = 2.08336e+00\n", - "log(Z): -5.97622e+00, tol = 1.51466e+00, K = 1, iteration = 1482, H = 2.08331e+00\n", - "log(Z): -5.97401e+00, tol = 1.51138e+00, K = 1, iteration = 1483, H = 2.08326e+00\n", - "log(Z): -5.97182e+00, tol = 1.50811e+00, K = 1, iteration = 1484, H = 2.08321e+00\n", - "log(Z): -5.96963e+00, tol = 1.50485e+00, K = 1, iteration = 1485, H = 2.08316e+00\n", - "log(Z): -5.96744e+00, tol = 1.50160e+00, K = 1, iteration = 1486, H = 2.08311e+00\n", - "log(Z): -5.96526e+00, tol = 1.49835e+00, K = 1, iteration = 1487, H = 2.08306e+00\n", - "log(Z): -5.96309e+00, tol = 1.49511e+00, K = 1, iteration = 1488, H = 2.08300e+00\n", - "log(Z): -5.96093e+00, tol = 1.49188e+00, K = 1, iteration = 1489, H = 2.08294e+00\n", - "log(Z): -5.95877e+00, tol = 1.48866e+00, K = 1, iteration = 1490, H = 2.08288e+00\n", - "log(Z): -5.95662e+00, tol = 1.48545e+00, K = 1, iteration = 1491, H = 2.08282e+00\n", - "log(Z): -5.95446e+00, tol = 1.48224e+00, K = 1, iteration = 1492, H = 2.08277e+00\n", - "log(Z): -5.95231e+00, tol = 1.47903e+00, K = 1, iteration = 1493, H = 2.08271e+00\n", - "log(Z): -5.95017e+00, tol = 1.47583e+00, K = 1, iteration = 1494, H = 2.08265e+00\n", - "log(Z): -5.94804e+00, tol = 1.47265e+00, K = 1, iteration = 1495, H = 2.08259e+00\n", - "log(Z): -5.94591e+00, tol = 1.46946e+00, K = 1, iteration = 1496, H = 2.08253e+00\n", - "log(Z): -5.94378e+00, tol = 1.46629e+00, K = 1, iteration = 1497, H = 2.08247e+00\n", - "log(Z): -5.94166e+00, tol = 1.46312e+00, K = 1, iteration = 1498, H = 2.08241e+00\n", - "log(Z): -5.93954e+00, tol = 1.45996e+00, K = 1, iteration = 1499, H = 2.08235e+00\n", - "log(Z): -5.93743e+00, tol = 1.45680e+00, K = 1, iteration = 1500, H = 2.08229e+00\n", - "log(Z): -5.93532e+00, tol = 1.45365e+00, K = 1, iteration = 1501, H = 2.08223e+00\n", - "log(Z): -5.93323e+00, tol = 1.45052e+00, K = 1, iteration = 1502, H = 2.08216e+00\n", - "log(Z): -5.93113e+00, tol = 1.44738e+00, K = 1, iteration = 1503, H = 2.08210e+00\n", - "log(Z): -5.92903e+00, tol = 1.44425e+00, K = 1, iteration = 1504, H = 2.08204e+00\n", - "log(Z): -5.92694e+00, tol = 1.44112e+00, K = 1, iteration = 1505, H = 2.08199e+00\n", - "log(Z): -5.92484e+00, tol = 1.43800e+00, K = 1, iteration = 1506, H = 2.08193e+00\n", - "log(Z): -5.92275e+00, tol = 1.43488e+00, K = 1, iteration = 1507, H = 2.08189e+00\n", - "log(Z): -5.92065e+00, tol = 1.43175e+00, K = 1, iteration = 1508, H = 2.08185e+00\n", - "log(Z): -5.91855e+00, tol = 1.42864e+00, K = 1, iteration = 1509, H = 2.08181e+00\n", - "log(Z): -5.91645e+00, tol = 1.42552e+00, K = 1, iteration = 1510, H = 2.08178e+00\n", - "log(Z): -5.91436e+00, tol = 1.42242e+00, K = 1, iteration = 1511, H = 2.08175e+00\n", - "log(Z): -5.91228e+00, tol = 1.41932e+00, K = 1, iteration = 1512, H = 2.08171e+00\n", - "log(Z): -5.91019e+00, tol = 1.41622e+00, K = 1, iteration = 1513, H = 2.08168e+00\n", - "log(Z): -5.90811e+00, tol = 1.41313e+00, K = 1, iteration = 1514, H = 2.08165e+00\n", - "log(Z): -5.90603e+00, tol = 1.41005e+00, K = 1, iteration = 1515, H = 2.08162e+00\n", - "log(Z): -5.90395e+00, tol = 1.40697e+00, K = 1, iteration = 1516, H = 2.08159e+00\n", - "log(Z): -5.90188e+00, tol = 1.40389e+00, K = 1, iteration = 1517, H = 2.08157e+00\n", - "log(Z): -5.89981e+00, tol = 1.40083e+00, K = 1, iteration = 1518, H = 2.08154e+00\n", - "log(Z): -5.89775e+00, tol = 1.39777e+00, K = 1, iteration = 1519, H = 2.08151e+00\n", - "log(Z): -5.89569e+00, tol = 1.39471e+00, K = 1, iteration = 1520, H = 2.08149e+00\n", - "log(Z): -5.89363e+00, tol = 1.39166e+00, K = 1, iteration = 1521, H = 2.08146e+00\n", - "log(Z): -5.89159e+00, tol = 1.38862e+00, K = 1, iteration = 1522, H = 2.08143e+00\n", - "log(Z): -5.88954e+00, tol = 1.38559e+00, K = 1, iteration = 1523, H = 2.08140e+00\n", - "log(Z): -5.88751e+00, tol = 1.38257e+00, K = 1, iteration = 1524, H = 2.08136e+00\n", - "log(Z): -5.88548e+00, tol = 1.37955e+00, K = 1, iteration = 1525, H = 2.08133e+00\n", - "log(Z): -5.88345e+00, tol = 1.37654e+00, K = 1, iteration = 1526, H = 2.08129e+00\n", - "log(Z): -5.88143e+00, tol = 1.37353e+00, K = 1, iteration = 1527, H = 2.08125e+00\n", - "log(Z): -5.87942e+00, tol = 1.37054e+00, K = 1, iteration = 1528, H = 2.08121e+00\n", - "log(Z): -5.87741e+00, tol = 1.36755e+00, K = 1, iteration = 1529, H = 2.08118e+00\n", - "log(Z): -5.87540e+00, tol = 1.36457e+00, K = 1, iteration = 1530, H = 2.08114e+00\n", - "log(Z): -5.87340e+00, tol = 1.36159e+00, K = 1, iteration = 1531, H = 2.08110e+00\n", - "log(Z): -5.87140e+00, tol = 1.35861e+00, K = 1, iteration = 1532, H = 2.08106e+00\n", - "log(Z): -5.86941e+00, tol = 1.35565e+00, K = 1, iteration = 1533, H = 2.08102e+00\n", - "log(Z): -5.86742e+00, tol = 1.35269e+00, K = 1, iteration = 1534, H = 2.08098e+00\n", - "log(Z): -5.86544e+00, tol = 1.34974e+00, K = 1, iteration = 1535, H = 2.08094e+00\n", - "log(Z): -5.86346e+00, tol = 1.34679e+00, K = 1, iteration = 1536, H = 2.08090e+00\n", - "log(Z): -5.86148e+00, tol = 1.34385e+00, K = 1, iteration = 1537, H = 2.08087e+00\n", - "log(Z): -5.85950e+00, tol = 1.34091e+00, K = 1, iteration = 1538, H = 2.08083e+00\n", - "log(Z): -5.85753e+00, tol = 1.33798e+00, K = 1, iteration = 1539, H = 2.08080e+00\n", - "log(Z): -5.85556e+00, tol = 1.33505e+00, K = 1, iteration = 1540, H = 2.08077e+00\n", - "log(Z): -5.85359e+00, tol = 1.33213e+00, K = 1, iteration = 1541, H = 2.08073e+00\n", - "log(Z): -5.85163e+00, tol = 1.32921e+00, K = 1, iteration = 1542, H = 2.08070e+00\n", - "log(Z): -5.84965e+00, tol = 1.32629e+00, K = 1, iteration = 1543, H = 2.08069e+00\n", - "log(Z): -5.84768e+00, tol = 1.32338e+00, K = 1, iteration = 1544, H = 2.08067e+00\n", - "log(Z): -5.84572e+00, tol = 1.32047e+00, K = 1, iteration = 1545, H = 2.08065e+00\n", - "log(Z): -5.84376e+00, tol = 1.31757e+00, K = 1, iteration = 1546, H = 2.08063e+00\n", - "log(Z): -5.84181e+00, tol = 1.31468e+00, K = 1, iteration = 1547, H = 2.08061e+00\n", - "log(Z): -5.83986e+00, tol = 1.31179e+00, K = 1, iteration = 1548, H = 2.08058e+00\n", - "log(Z): -5.83792e+00, tol = 1.30891e+00, K = 1, iteration = 1549, H = 2.08056e+00\n", - "log(Z): -5.83598e+00, tol = 1.30604e+00, K = 1, iteration = 1550, H = 2.08053e+00\n", - "log(Z): -5.83406e+00, tol = 1.30318e+00, K = 1, iteration = 1551, H = 2.08050e+00\n", - "log(Z): -5.83213e+00, tol = 1.30033e+00, K = 1, iteration = 1552, H = 2.08046e+00\n", - "log(Z): -5.83021e+00, tol = 1.29747e+00, K = 1, iteration = 1553, H = 2.08044e+00\n", - "log(Z): -5.82829e+00, tol = 1.29462e+00, K = 1, iteration = 1554, H = 2.08041e+00\n", - "log(Z): -5.82637e+00, tol = 1.29178e+00, K = 1, iteration = 1555, H = 2.08038e+00\n", - "log(Z): -5.82446e+00, tol = 1.28895e+00, K = 1, iteration = 1556, H = 2.08035e+00\n", - "log(Z): -5.82255e+00, tol = 1.28612e+00, K = 1, iteration = 1557, H = 2.08033e+00\n", - "log(Z): -5.82065e+00, tol = 1.28330e+00, K = 1, iteration = 1558, H = 2.08030e+00\n", - "log(Z): -5.81875e+00, tol = 1.28048e+00, K = 1, iteration = 1559, H = 2.08027e+00\n", - "log(Z): -5.81686e+00, tol = 1.27767e+00, K = 1, iteration = 1560, H = 2.08024e+00\n", - "log(Z): -5.81496e+00, tol = 1.27486e+00, K = 1, iteration = 1561, H = 2.08022e+00\n", - "log(Z): -5.81305e+00, tol = 1.27204e+00, K = 1, iteration = 1562, H = 2.08021e+00\n", - "log(Z): -5.81114e+00, tol = 1.26923e+00, K = 1, iteration = 1563, H = 2.08021e+00\n", - "log(Z): -5.80924e+00, tol = 1.26643e+00, K = 1, iteration = 1564, H = 2.08020e+00\n", - "log(Z): -5.80734e+00, tol = 1.26363e+00, K = 1, iteration = 1565, H = 2.08019e+00\n", - "log(Z): -5.80545e+00, tol = 1.26084e+00, K = 1, iteration = 1566, H = 2.08019e+00\n", - "log(Z): -5.80356e+00, tol = 1.25806e+00, K = 1, iteration = 1567, H = 2.08017e+00\n", - "log(Z): -5.80168e+00, tol = 1.25528e+00, K = 1, iteration = 1568, H = 2.08016e+00\n", - "log(Z): -5.79980e+00, tol = 1.25250e+00, K = 1, iteration = 1569, H = 2.08016e+00\n", - "log(Z): -5.79792e+00, tol = 1.24974e+00, K = 1, iteration = 1570, H = 2.08015e+00\n", - "log(Z): -5.79605e+00, tol = 1.24698e+00, K = 1, iteration = 1571, H = 2.08014e+00\n", - "log(Z): -5.79418e+00, tol = 1.24422e+00, K = 1, iteration = 1572, H = 2.08013e+00\n", - "log(Z): -5.79232e+00, tol = 1.24147e+00, K = 1, iteration = 1573, H = 2.08012e+00\n", - "log(Z): -5.79046e+00, tol = 1.23873e+00, K = 1, iteration = 1574, H = 2.08011e+00\n", - "log(Z): -5.78860e+00, tol = 1.23599e+00, K = 1, iteration = 1575, H = 2.08010e+00\n", - "log(Z): -5.78675e+00, tol = 1.23326e+00, K = 1, iteration = 1576, H = 2.08008e+00\n", - "log(Z): -5.78490e+00, tol = 1.23053e+00, K = 1, iteration = 1577, H = 2.08008e+00\n", - "log(Z): -5.78305e+00, tol = 1.22781e+00, K = 1, iteration = 1578, H = 2.08007e+00\n", - "log(Z): -5.78121e+00, tol = 1.22510e+00, K = 1, iteration = 1579, H = 2.08006e+00\n", - "log(Z): -5.77937e+00, tol = 1.22239e+00, K = 1, iteration = 1580, H = 2.08005e+00\n", - "log(Z): -5.77754e+00, tol = 1.21968e+00, K = 1, iteration = 1581, H = 2.08004e+00\n", - "log(Z): -5.77571e+00, tol = 1.21699e+00, K = 1, iteration = 1582, H = 2.08003e+00\n", - "log(Z): -5.77388e+00, tol = 1.21429e+00, K = 1, iteration = 1583, H = 2.08002e+00\n", - "log(Z): -5.77205e+00, tol = 1.21160e+00, K = 1, iteration = 1584, H = 2.08001e+00\n", - "log(Z): -5.77023e+00, tol = 1.20892e+00, K = 1, iteration = 1585, H = 2.08000e+00\n", - "log(Z): -5.76840e+00, tol = 1.20624e+00, K = 1, iteration = 1586, H = 2.08000e+00\n", - "log(Z): -5.76658e+00, tol = 1.20356e+00, K = 1, iteration = 1587, H = 2.08001e+00\n", - "log(Z): -5.76476e+00, tol = 1.20089e+00, K = 1, iteration = 1588, H = 2.08001e+00\n", - "log(Z): -5.76294e+00, tol = 1.19822e+00, K = 1, iteration = 1589, H = 2.08001e+00\n", - "log(Z): -5.76112e+00, tol = 1.19556e+00, K = 1, iteration = 1590, H = 2.08002e+00\n", - "log(Z): -5.75932e+00, tol = 1.19290e+00, K = 1, iteration = 1591, H = 2.08002e+00\n", - "log(Z): -5.75751e+00, tol = 1.19025e+00, K = 1, iteration = 1592, H = 2.08002e+00\n", - "log(Z): -5.75571e+00, tol = 1.18761e+00, K = 1, iteration = 1593, H = 2.08002e+00\n", - "log(Z): -5.75391e+00, tol = 1.18497e+00, K = 1, iteration = 1594, H = 2.08002e+00\n", - "log(Z): -5.75211e+00, tol = 1.18233e+00, K = 1, iteration = 1595, H = 2.08003e+00\n", - "log(Z): -5.75032e+00, tol = 1.17971e+00, K = 1, iteration = 1596, H = 2.08003e+00\n", - "log(Z): -5.74854e+00, tol = 1.17709e+00, K = 1, iteration = 1597, H = 2.08003e+00\n", - "log(Z): -5.74676e+00, tol = 1.17448e+00, K = 1, iteration = 1598, H = 2.08002e+00\n", - "log(Z): -5.74498e+00, tol = 1.17187e+00, K = 1, iteration = 1599, H = 2.08001e+00\n", - "log(Z): -5.74322e+00, tol = 1.16927e+00, K = 1, iteration = 1600, H = 2.08001e+00\n", - "log(Z): -5.74145e+00, tol = 1.16668e+00, K = 1, iteration = 1601, H = 2.08000e+00\n", - "log(Z): -5.73969e+00, tol = 1.16409e+00, K = 1, iteration = 1602, H = 2.07999e+00\n", - "log(Z): -5.73794e+00, tol = 1.16151e+00, K = 1, iteration = 1603, H = 2.07998e+00\n", - "log(Z): -5.73618e+00, tol = 1.15893e+00, K = 1, iteration = 1604, H = 2.07998e+00\n", - "log(Z): -5.73443e+00, tol = 1.15635e+00, K = 1, iteration = 1605, H = 2.07997e+00\n", - "log(Z): -5.73268e+00, tol = 1.15379e+00, K = 1, iteration = 1606, H = 2.07996e+00\n", - "log(Z): -5.73094e+00, tol = 1.15123e+00, K = 1, iteration = 1607, H = 2.07995e+00\n", - "log(Z): -5.72921e+00, tol = 1.14868e+00, K = 1, iteration = 1608, H = 2.07994e+00\n", - "log(Z): -5.72748e+00, tol = 1.14613e+00, K = 1, iteration = 1609, H = 2.07992e+00\n", - "log(Z): -5.72575e+00, tol = 1.14359e+00, K = 1, iteration = 1610, H = 2.07991e+00\n", - "log(Z): -5.72404e+00, tol = 1.14106e+00, K = 1, iteration = 1611, H = 2.07989e+00\n", - "log(Z): -5.72232e+00, tol = 1.13854e+00, K = 1, iteration = 1612, H = 2.07987e+00\n", - "log(Z): -5.72061e+00, tol = 1.13602e+00, K = 1, iteration = 1613, H = 2.07985e+00\n", - "log(Z): -5.71891e+00, tol = 1.13351e+00, K = 1, iteration = 1614, H = 2.07983e+00\n", - "log(Z): -5.71721e+00, tol = 1.13100e+00, K = 1, iteration = 1615, H = 2.07980e+00\n", - "log(Z): -5.71552e+00, tol = 1.12850e+00, K = 1, iteration = 1616, H = 2.07977e+00\n", - "log(Z): -5.71383e+00, tol = 1.12600e+00, K = 1, iteration = 1617, H = 2.07975e+00\n", - "log(Z): -5.71214e+00, tol = 1.12352e+00, K = 1, iteration = 1618, H = 2.07972e+00\n", - "log(Z): -5.71046e+00, tol = 1.12103e+00, K = 1, iteration = 1619, H = 2.07970e+00\n", - "log(Z): -5.70877e+00, tol = 1.11855e+00, K = 1, iteration = 1620, H = 2.07968e+00\n", - "log(Z): -5.70709e+00, tol = 1.11607e+00, K = 1, iteration = 1621, H = 2.07966e+00\n", - "log(Z): -5.70541e+00, tol = 1.11360e+00, K = 1, iteration = 1622, H = 2.07964e+00\n", - "log(Z): -5.70373e+00, tol = 1.11113e+00, K = 1, iteration = 1623, H = 2.07962e+00\n", - "log(Z): -5.70206e+00, tol = 1.10867e+00, K = 1, iteration = 1624, H = 2.07961e+00\n", - "log(Z): -5.70039e+00, tol = 1.10621e+00, K = 1, iteration = 1625, H = 2.07959e+00\n", - "log(Z): -5.69871e+00, tol = 1.10375e+00, K = 1, iteration = 1626, H = 2.07958e+00\n", - "log(Z): -5.69704e+00, tol = 1.10130e+00, K = 1, iteration = 1627, H = 2.07957e+00\n", - "log(Z): -5.69537e+00, tol = 1.09885e+00, K = 1, iteration = 1628, H = 2.07956e+00\n", - "log(Z): -5.69371e+00, tol = 1.09641e+00, K = 1, iteration = 1629, H = 2.07955e+00\n", - "log(Z): -5.69205e+00, tol = 1.09397e+00, K = 1, iteration = 1630, H = 2.07953e+00\n", - "log(Z): -5.69040e+00, tol = 1.09155e+00, K = 1, iteration = 1631, H = 2.07952e+00\n", - "log(Z): -5.68875e+00, tol = 1.08912e+00, K = 1, iteration = 1632, H = 2.07951e+00\n", - "log(Z): -5.68710e+00, tol = 1.08670e+00, K = 1, iteration = 1633, H = 2.07949e+00\n", - "log(Z): -5.68545e+00, tol = 1.08429e+00, K = 1, iteration = 1634, H = 2.07948e+00\n", - "log(Z): -5.68381e+00, tol = 1.08188e+00, K = 1, iteration = 1635, H = 2.07947e+00\n", - "log(Z): -5.68217e+00, tol = 1.07947e+00, K = 1, iteration = 1636, H = 2.07946e+00\n", - "log(Z): -5.68054e+00, tol = 1.07708e+00, K = 1, iteration = 1637, H = 2.07944e+00\n", - "log(Z): -5.67890e+00, tol = 1.07468e+00, K = 1, iteration = 1638, H = 2.07943e+00\n", - "log(Z): -5.67728e+00, tol = 1.07230e+00, K = 1, iteration = 1639, H = 2.07942e+00\n", - "log(Z): -5.67566e+00, tol = 1.06991e+00, K = 1, iteration = 1640, H = 2.07940e+00\n", - "log(Z): -5.67402e+00, tol = 1.06753e+00, K = 1, iteration = 1641, H = 2.07940e+00\n", - "log(Z): -5.67239e+00, tol = 1.06515e+00, K = 1, iteration = 1642, H = 2.07940e+00\n", - "log(Z): -5.67077e+00, tol = 1.06277e+00, K = 1, iteration = 1643, H = 2.07939e+00\n", - "log(Z): -5.66914e+00, tol = 1.06040e+00, K = 1, iteration = 1644, H = 2.07939e+00\n", - "log(Z): -5.66752e+00, tol = 1.05804e+00, K = 1, iteration = 1645, H = 2.07939e+00\n", - "log(Z): -5.66591e+00, tol = 1.05568e+00, K = 1, iteration = 1646, H = 2.07939e+00\n", - "log(Z): -5.66430e+00, tol = 1.05333e+00, K = 1, iteration = 1647, H = 2.07938e+00\n", - "log(Z): -5.66269e+00, tol = 1.05098e+00, K = 1, iteration = 1648, H = 2.07938e+00\n", - "log(Z): -5.66109e+00, tol = 1.04864e+00, K = 1, iteration = 1649, H = 2.07937e+00\n", - "log(Z): -5.65949e+00, tol = 1.04631e+00, K = 1, iteration = 1650, H = 2.07936e+00\n", - "log(Z): -5.65790e+00, tol = 1.04398e+00, K = 1, iteration = 1651, H = 2.07935e+00\n", - "log(Z): -5.65631e+00, tol = 1.04165e+00, K = 1, iteration = 1652, H = 2.07934e+00\n", - "log(Z): -5.65472e+00, tol = 1.03933e+00, K = 1, iteration = 1653, H = 2.07933e+00\n", - "log(Z): -5.65314e+00, tol = 1.03702e+00, K = 1, iteration = 1654, H = 2.07933e+00\n", - "log(Z): -5.65156e+00, tol = 1.03471e+00, K = 1, iteration = 1655, H = 2.07932e+00\n", - "log(Z): -5.64998e+00, tol = 1.03240e+00, K = 1, iteration = 1656, H = 2.07931e+00\n", - "log(Z): -5.64841e+00, tol = 1.03010e+00, K = 1, iteration = 1657, H = 2.07930e+00\n", - "log(Z): -5.64684e+00, tol = 1.02781e+00, K = 1, iteration = 1658, H = 2.07928e+00\n", - "log(Z): -5.64528e+00, tol = 1.02552e+00, K = 1, iteration = 1659, H = 2.07927e+00\n", - "log(Z): -5.64372e+00, tol = 1.02324e+00, K = 1, iteration = 1660, H = 2.07926e+00\n", - "log(Z): -5.64216e+00, tol = 1.02096e+00, K = 1, iteration = 1661, H = 2.07925e+00\n", - "log(Z): -5.64060e+00, tol = 1.01869e+00, K = 1, iteration = 1662, H = 2.07924e+00\n", - "log(Z): -5.63904e+00, tol = 1.01642e+00, K = 1, iteration = 1663, H = 2.07923e+00\n", - "log(Z): -5.63749e+00, tol = 1.01415e+00, K = 1, iteration = 1664, H = 2.07922e+00\n", - "log(Z): -5.63595e+00, tol = 1.01190e+00, K = 1, iteration = 1665, H = 2.07921e+00\n", - "log(Z): -5.63441e+00, tol = 1.00964e+00, K = 1, iteration = 1666, H = 2.07919e+00\n", - "log(Z): -5.63287e+00, tol = 1.00740e+00, K = 1, iteration = 1667, H = 2.07918e+00\n", - "log(Z): -5.63134e+00, tol = 1.00516e+00, K = 1, iteration = 1668, H = 2.07916e+00\n", - "log(Z): -5.62981e+00, tol = 1.00292e+00, K = 1, iteration = 1669, H = 2.07914e+00\n", - "log(Z): -5.62828e+00, tol = 1.00068e+00, K = 1, iteration = 1670, H = 2.07914e+00\n", - "log(Z): -5.62674e+00, tol = 9.98451e-01, K = 1, iteration = 1671, H = 2.07913e+00\n", - "Elapsed time is 0.520 seconds\n", - "\n", - "Finished RAT ───────────────────────────────────────────────────────────────────────────────────────────────────────────\n", - "\n", - "Starting RAT ───────────────────────────────────────────────────────────────────────────────────────────────────────────\n", - "\n", - "\n", - "Running DREAM\n", - "\n", - "------------------ Summary of the main settings used ------------------\n", - " nParams: 2\n", - " nChains: 10\n", - " nGenerations: 2000\n", - " parallel: false\n", - " CPU: 1\n", - " jumpProbability: 0.5\n", - " pUnitGamma: 0.2\n", - " nCR: 3\n", - " delta: 3\n", - " steps: 50\n", - " zeta: 1e-12\n", - " outlier: 'iqr'\n", - " adaptPCR: true\n", - " thinning: 1\n", - " ABC: false\n", - " epsilon: 0.025\n", - " IO: false\n", - " storeOutput: false\n", - " R: [10x10 double]\n", - " -----------------------------------------------------------------------\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "DREAM: 100%|██████████████████████████████████████████████████████████████████████████████" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Elapsed time is 1.067 seconds\n", - "\n", - "Finished RAT ───────────────────────────────────────────────────────────────────────────────────────────────────────────\n", - "\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], + "outputs": [], "source": [ "ns_controls = RAT.Controls(procedure=\"ns\", nsTolerance=1, nLive=500, display=\"final\")\n", "_, ns_results = RAT.run(project, ns_controls)\n", @@ -1975,25 +228,9 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Best values according to direct calculation:\n", - " Roughness: 4.896551724137931 \n", - " Background: 3.16551724137931e-06\n", - "Best values according to Nested Sampler:\n", - " Roughness: 4.819791726804396 \n", - "\n", - "Best values according to DREAM:\n", - " Roughness: 4.8072205077358285 \n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# get the vector indices that produced the lowest chi-squared\n", "best_indices = np.unravel_index(np.argmax(probability_array, axis=None), probability_array.shape)\n", @@ -2016,35 +253,18 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "And finally, we will plot the posteriors created via each method to compare." + "And finally, we will plot the posteriors created via each method to compare, as well as contour plots\n", + "for each method." ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_15807/3011725667.py:46: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n", - " fig.show()\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", + "from matplotlib import colormaps\n", "import RATapi.utils.plotting as RATplot\n", "\n", "fig, axes = plt.subplots(3, 2, figsize=(6, 9))\n", @@ -2094,49 +314,33 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "ename": "TypeError", - "evalue": "'Axes' object is not subscriptable", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[8], line 8\u001b[0m\n\u001b[1;32m 5\u001b[0m RATplot\u001b[38;5;241m.\u001b[39mplot_contour(dream_results, \u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m, axes\u001b[38;5;241m=\u001b[39maxes[\u001b[38;5;241m1\u001b[39m])\n\u001b[1;32m 6\u001b[0m \u001b[38;5;66;03m# we want all 3 plots to have the same x-range\u001b[39;00m\n\u001b[1;32m 7\u001b[0m \u001b[38;5;66;03m# so we will use the nested sampler x-range as our base\u001b[39;00m\n\u001b[0;32m----> 8\u001b[0m axes[\u001b[38;5;241m1\u001b[39m]\u001b[38;5;241m.\u001b[39mset_xlim(\u001b[38;5;241m*\u001b[39m\u001b[43maxes\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m[\u001b[49m\u001b[43mi\u001b[49m\u001b[43m]\u001b[49m\u001b[38;5;241m.\u001b[39mget_xlim())\n\u001b[1;32m 9\u001b[0m axes[\u001b[38;5;241m1\u001b[39m]\u001b[38;5;241m.\u001b[39mset_title(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", - "\u001b[0;31mTypeError\u001b[0m: 'Axes' object is not subscriptable" - ] - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "contour_fig, axes = plt.subplots(3, 1, figsize=(3, 9))\n", + "contour_fig, axes = plt.subplots(1, 3, figsize=(9, 3))\n", "\n", "# plot NS and DREAM for each parameter\n", "RATplot.plot_contour(ns_results, 0, 1, axes=axes[0])\n", "RATplot.plot_contour(dream_results, 0, 1, axes=axes[1])\n", - "# we want all 3 plots to have the same x-range\n", - "# so we will use the nested sampler x-range as our base\n", - "axes[1].set_xlim(*axes[0][i].get_xlim())\n", - "axes[1].set_title(\"\")\n" + "\n", + "axes[2].pcolormesh(roughness, background, probability_array.max() - probability_array.T, cmap=colormaps[\"Greys\"].reversed())\n", + "axes[2].contour(roughness, background, probability_array.max() - probability_array.T, colors=\"black\")\n", + "\n", + "axes[1].set_xlim(*axes[0].get_xlim())\n", + "axes[1].set_ylim(*axes[0].get_ylim())\n", + "axes[2].set_xlim(*axes[0].get_xlim())\n", + "axes[2].set_ylim(*axes[0].get_ylim())\n", + "\n", + "axes[0].set_title(\"NS\")\n", + "axes[1].set_title(\"DREAM\")\n", + "axes[2].set_title(\"direct\")\n", + "axes[1].set_ylabel(\"\")\n", + "axes[2].set_ylabel(\"\")\n", + "axes[2].set_xlabel(\"Substrate Roughness\")\n", + "fig.tight_layout()\n", + "fig.show()" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { From 0454defd7466fc36d6b6f656f12e985e7fc977ba Mon Sep 17 00:00:00 2001 From: alexhroom Date: Tue, 17 Dec 2024 14:54:38 +0000 Subject: [PATCH 08/10] minor fixes to plotting --- RATapi/examples/bayes_benchmark/bayes_benchmark.py | 2 +- RATapi/utils/plotting.py | 9 ++++----- tests/test_plotting.py | 4 ++-- 3 files changed, 7 insertions(+), 8 deletions(-) diff --git a/RATapi/examples/bayes_benchmark/bayes_benchmark.py b/RATapi/examples/bayes_benchmark/bayes_benchmark.py index 3f47442c..72665700 100644 --- a/RATapi/examples/bayes_benchmark/bayes_benchmark.py +++ b/RATapi/examples/bayes_benchmark/bayes_benchmark.py @@ -355,7 +355,7 @@ def plot_marginalised_result(dimension: int, axes: plt.Axes, limits: tuple[float if __name__ == "__main__": ns_2d, dream_2d, calc_2d = bayes_benchmark_2d(30) - ns_3d, dream_3d, calc_3d = bayes_benchmark_3d(40) + ns_3d, dream_3d, calc_3d = bayes_benchmark_3d(30) plot_posterior_comparison(ns_2d, dream_2d, calc_2d) plot_posterior_comparison(ns_3d, dream_3d, calc_3d) diff --git a/RATapi/utils/plotting.py b/RATapi/utils/plotting.py index e26d6b69..6575d3ec 100644 --- a/RATapi/utils/plotting.py +++ b/RATapi/utils/plotting.py @@ -443,7 +443,7 @@ def plot_corner( plot_one_hist(results, param=row_param, smooth=smooth, axes=current_axes, **hist_kwargs) elif i > j: # lower triangle: 2d histograms plot_contour( - results, x_param=row_param, y_param=col_param, smooth=smooth, axes=current_axes, **hist2d_kwargs + results, x_param=col_param, y_param=row_param, smooth=smooth, axes=current_axes, **hist2d_kwargs ) elif i < j: # upper triangle: no plot current_axes.set_visible(False) @@ -629,8 +629,7 @@ def plot_contour( default_settings = {"bins": 25, "density": True} hist2d_settings = {**default_settings, **hist2d_settings} - counts, y_bins, x_bins = np.histogram2d(results.chain[:, x_param], results.chain[:, y_param], **hist2d_settings) - counts = counts.T # for some reason the counts given by numpy are sideways + counts, x_bins, y_bins = np.histogram2d(results.chain[:, x_param], results.chain[:, y_param], **hist2d_settings) if smooth: if sigma is None: sigma_x = stdev(results.chain[:, x_param]) / 2 @@ -641,8 +640,8 @@ def plot_contour( counts = gaussian_filter1d(counts, axis=0, sigma=sigma_x) counts = gaussian_filter1d(counts, axis=1, sigma=sigma_y) - axes.pcolormesh(x_bins, y_bins, counts.max() - counts.T, cmap=matplotlib.colormaps["Greys"].reversed()) - axes.contour(x_bins[:-1], y_bins[:-1], counts.max() - counts.T, colors="black") + axes.pcolormesh(x_bins, y_bins, counts.max() - counts, cmap=matplotlib.colormaps["Greys"].reversed()) + axes.contour(x_bins[:-1], y_bins[:-1], counts.max() - counts, colors="black") axes.set_xlabel(results.fitNames[x_param]) axes.set_ylabel(results.fitNames[y_param]) diff --git a/tests/test_plotting.py b/tests/test_plotting.py index c2a92c49..1cba4ddc 100644 --- a/tests/test_plotting.py +++ b/tests/test_plotting.py @@ -348,8 +348,8 @@ def test_contour(dream_results, x_param, y_param, hist2d_settings): y_param_chain = dream_results.chain[:, y_param_index] x_expected_range = (x_param_chain.min(), x_param_chain.max()) y_expected_range = (y_param_chain.min(), y_param_chain.max()) - assert ax.get_xbound() == y_expected_range - assert ax.get_ybound() == x_expected_range + assert ax.get_xbound() == x_expected_range + assert ax.get_ybound() == y_expected_range # plt.close(fig) From 34c1b1f17b5740eca245daa04fabb2fc02e02d23 Mon Sep 17 00:00:00 2001 From: alexhroom Date: Thu, 19 Dec 2024 09:29:28 +0000 Subject: [PATCH 09/10] review fixes --- RATapi/examples/bayes_benchmark/bayes_benchmark.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/RATapi/examples/bayes_benchmark/bayes_benchmark.py b/RATapi/examples/bayes_benchmark/bayes_benchmark.py index 72665700..fdb1cb50 100644 --- a/RATapi/examples/bayes_benchmark/bayes_benchmark.py +++ b/RATapi/examples/bayes_benchmark/bayes_benchmark.py @@ -325,7 +325,7 @@ def plot_marginalised_result(dimension: int, axes: plt.Axes, limits: tuple[float # create histogram axes.hist( - calc_results.x_data[i], + calc_results.x_data[dimension], bins=25, range=limits, weights=distribution, From fa0f5c56ccf04fb6579d8ba4ed35c466b53f68a6 Mon Sep 17 00:00:00 2001 From: alexhroom Date: Tue, 14 Jan 2025 07:50:01 +0000 Subject: [PATCH 10/10] review fixes --- .../bayes_benchmark/bayes_benchmark.ipynb | 23 +++++++++++-------- .../bayes_benchmark/bayes_benchmark.py | 4 ++-- 2 files changed, 16 insertions(+), 11 deletions(-) diff --git a/RATapi/examples/bayes_benchmark/bayes_benchmark.ipynb b/RATapi/examples/bayes_benchmark/bayes_benchmark.ipynb index bb8639e4..79e4ae95 100644 --- a/RATapi/examples/bayes_benchmark/bayes_benchmark.ipynb +++ b/RATapi/examples/bayes_benchmark/bayes_benchmark.ipynb @@ -47,7 +47,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -65,8 +65,8 @@ " bulk_in=[Parameter(name=\"Air\", min=0.0, value=0.0, max=0.0, fit=False)],\n", " bulk_out=[Parameter(name=\"D2O\", min=6.3e-06, value=6.35e-06, max=6.4e-06, fit=False)],\n", " resolution_parameters=[Parameter(name=\"Resolution parameter 1\", min=0.01, value=0.03, max=0.05, fit=False)],\n", - " backgrounds=[Background(name=\"Background 1\", type=\"constant\", value_1=\"Background parameter 1\")],\n", - " resolutions=[Resolution(name=\"Resolution 1\", type=\"constant\", value_1=\"Resolution parameter 1\")],\n", + " backgrounds=[Background(name=\"Background 1\", type=\"constant\", source=\"Background parameter 1\")],\n", + " resolutions=[Resolution(name=\"Resolution 1\", type=\"constant\", source=\"Resolution parameter 1\")],\n", " data=[\n", " Data(name=\"Simulation\", data=np.empty([0, 3]), simulation_range=[0.005, 0.7]),\n", " Data(\n", @@ -178,7 +178,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -240,13 +240,11 @@ "\n", "print(\"Best values according to Nested Sampler:\\n\",\n", " \"Roughness: \", ns_results.fitParams[0], \"\\n\",\n", - " ## FIXME: once fitParams outputs properly!\n", - ")# \"Background: \", ns_results.fitParams[1])\n", + " \"Background: \", ns_results.fitParams[1])\n", "\n", "print(\"Best values according to DREAM:\\n\",\n", " \"Roughness: \", dream_results.fitParams[0], \"\\n\",\n", - " ## FIXME: once fitParams outputs properly!\n", - " )# \"Background: \", dream_results.fitParams[1])" + " \"Background: \", dream_results.fitParams[1])" ] }, { @@ -341,6 +339,13 @@ "fig.tight_layout()\n", "fig.show()" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -359,7 +364,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.2" + "version": "3.10.12" } }, "nbformat": 4, diff --git a/RATapi/examples/bayes_benchmark/bayes_benchmark.py b/RATapi/examples/bayes_benchmark/bayes_benchmark.py index fdb1cb50..2cec2e3e 100644 --- a/RATapi/examples/bayes_benchmark/bayes_benchmark.py +++ b/RATapi/examples/bayes_benchmark/bayes_benchmark.py @@ -48,8 +48,8 @@ def get_project() -> RAT.Project: bulk_in=[Parameter(name="Air", min=0.0, value=0.0, max=0.0, fit=False)], bulk_out=[Parameter(name="D2O", min=6.3e-06, value=6.35e-06, max=6.4e-06, fit=False)], resolution_parameters=[Parameter(name="Resolution parameter 1", min=0.01, value=0.03, max=0.05, fit=False)], - backgrounds=[Background(name="Background 1", type="constant", value_1="Background parameter 1")], - resolutions=[Resolution(name="Resolution 1", type="constant", value_1="Resolution parameter 1")], + backgrounds=[Background(name="Background 1", type="constant", source="Background parameter 1")], + resolutions=[Resolution(name="Resolution 1", type="constant", source="Resolution parameter 1")], data=[ Data(name="Simulation", data=np.empty([0, 3]), simulation_range=[0.005, 0.7]), Data(