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StochDFO

A Collection of Algorithms for Stochastic Derivative-Free Optimization. Part of POptUS: Practical Optimization Using Structure.

Repository

TODO: Add badges here

License & Copyright

All code included in StochDFO is open source, with the particular form of license contained in the top-level subdirectories. If such a subdirectory does not contain a LICENSE file, then it is automatically licensed as described in the otherwise encompassing StochDFO LICENSE.

Copyright (c) 2026, Inria and UChicago Argonne LLC through Argonne National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy). All rights reserved.

Support

To

  • report potential problems with StochDFO,
  • propose a change, or
  • request a new feature,

please check if a related Issue already exists before creating a new issue. For all other communication, please send an email to the POptUS development team at

  • poptus@mcs.anl.gov

Documentation

TODO: Determine what type of documentation should be built up & detail here.

Installation & Testing

This repository presently contains only the OGPIT tool as a collection of Python source code files. To run OGPIT, it is suggested that users either

  • run the code from /path/to/StochDFO/OGPIT/py or
  • add /path/to/StochDFO/OGPIT/py to their PYTHONPATH environment variable.

mpi4py is an external dependence that is installed by the procedure below. Please ensure that an MPI implementation is installed for use with mpi4py before setting up a Python environment for use with OGPIT.

Users can setup their target Python virtual environment with most of the OGPIT external dependences by, for example, activating their environment and running

python -m pip install -r /path/to/StochDFO/requirements.txt

Some of the code requires the use of the contents of the BenDFO repository, which is not distributed as a Python package. After cloning the BenDFO repository and before using OGPIT, users should set the BENDFO_PATH environment variable to the root of their BenDFO clone.

Contributing to StochDFO

TODO: Define this.

Cite StochDFO

TODO: Define this once this software is available in earnest. This should likely be a package-related document (e.g., User Guide) listing all authors.

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A Collection of Algorithms for Stochastic Derivative-Free Optimization

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