Interpolation-Based Composite Derivative-Free Optimization
Project description
IBCDFO
Interpolation-Based Composite Derivative-Free Optimization, part of POptUS: Practical Optimization Using Structure.
A collection of interpolation-based methods for solving structured, composite derivative-free optimization problems.
Repository
MATLAB
Python
License & Copyright
All code included in IBCDFO is open source, with the specific license for each component provided in the corresponding top-level subdirectory. If a subdirectory does not contain a LICENSE file, it is covered by the IBCDFO LICENSE.
Copyright (c) 2023-2026, The Regents of the University of California, through Lawrence Berkeley National Laboratory 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 IBCDFO,
- 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
User and Developer Guides are hosted on ReadTheDocs.
The inclusion of examples is pending.
Installation & Testing
Refer to the Getting Started section of the User Guide.
Contributing to IBCDFO
Contributions are welcome in a variety of forms; see Contributing in the Developer Guide.
Cite IBCDFO
@techreport{ibcdfo,
author = {Jeffrey Larson and Matt Menickelly and Stefan M. Wild},
title = {Interpolation-Based Composite Derivative-Free Optimization},
url = {https://github.com/POptUS/IBCDFO},
number = {Version 0.1.0},
year = {2026},
doi = {10.11578/dc.20240627.2}
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file ibcdfo-0.1.0.tar.gz.
File metadata
- Download URL: ibcdfo-0.1.0.tar.gz
- Upload date:
- Size: 55.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cd8605160ac37e7ceee61a96a96b2f1b0a90a3a293bf4f3d8ee5bfd77dccd0a3
|
|
| MD5 |
a5a8b52505d5f04c11e5995a579a05d0
|
|
| BLAKE2b-256 |
bb3b37555f77109b8fb1610037ec207e43e971d68ca212bfc43493840b811b33
|
File details
Details for the file ibcdfo-0.1.0-py3-none-any.whl.
File metadata
- Download URL: ibcdfo-0.1.0-py3-none-any.whl
- Upload date:
- Size: 77.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
80bd2e3762ef038f08da95152463f8beb56229d8f194efb343c17fbee891df9b
|
|
| MD5 |
768d9efe9b1383c2b8da8530a0536969
|
|
| BLAKE2b-256 |
2bc5d0019b8a2ffbc8697661cfd3c53ac2f9e5257640ed728e1dae5f0a8cf10b
|