Add an unopy interface

README.md

@@ -19,7 +19,7 @@ An example output from OptView is shown below.
 
 ## Optimizer support
 pyOptSparse provides Python interfaces for a number of optimizers.
-ALPSO, CONMIN, IPOPT, NLPQLP, NSGA2, PSQP, SLSQP, ParOpt and SNOPT are currently tested and supported.
+ALPSO, CONMIN, IPOPT, NLPQLP, NSGA2, PSQP, SLSQP, ParOpt, Uno and SNOPT are currently tested and supported.
 
 We do not provide the source code for SNOPT and NLPQLP, due to their restrictive license requirements.
 Please contact the authors of the respective optimizers if you wish to obtain them.

doc/index.rst

@@ -69,3 +69,4 @@ To get started, please see the :ref:`install` and the :ref:`quickstart`.
    optimizers/ParOpt
    optimizers/CONMIN
    optimizers/ALPSO
+   optimizers/Uno

doc/optimizers/UNO.rst

@@ -0,0 +1,35 @@
+.. _uno:
+
+Uno
+===
+
+`Uno <https://github.com/cvanaret/Uno>`_ (Unifying Nonlinear Optimization) is a C++ library for solving nonlinearly constrained optimization problems
+
+Installation
+------------
+
+Uno and its Python interface must be installed via the unopy package `unopy <https://pypi.org/project/unopy/>`_.
+
+Options
+-------
+
+Uno decomposes nonlinear optimization algorithms into a set of "ingredients" that can be combined in various ways.
+To mimic the behavior of well-known algorithms, it has several ``presets``.
+Further customization is available via other options.
+
+For complete and up-to-date information about all options, please refer to the `Uno options documentation <https://github.com/cvanaret/Uno/blob/main/docs/options.md>`_.
+
+.. optionstable:: pyoptsparse.pyUno.pyUno.Uno
+   :filename: UNO_options.yaml
+
+Informs
+-------
+.. optionstable:: pyoptsparse.pyUno.pyUno.Uno
+   :type: informs
+
+API
+---
+.. currentmodule:: pyoptsparse.pyUno.pyUno
+
+.. autoclass:: Uno
+   :members: __call__