README for cyipopt
Ipopt (Interior Point OPTimizer, pronounced eye-pea-opt) is a software package for large-scale nonlinear optimization. Ipopt is available from the COIN-OR initiative, under the Eclipse Public License (EPL).
cyipopt is a Python wrapper around Ipopt. It enables using Ipopt from the comfort of the Python programming language.
Status
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PyPI |
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History
This repository was forked from https://bitbucket.org/amitibo/cyipopt and is now considered the primary repository. The fork includes a SciPy-style interface and ability to handle exceptions in the callback functions.
Installation
We recommend using conda to install cyipopt on Linux, Mac, and Windows:
conda install -c conda-forge cyipopt
Other installation options are present in the documentation.
License
cyipopt is open-source code released under the EPL license, see the LICENSE file.
Contributing
For bug reports, feature requests, comments, patches use the GitHub issue tracker and/or pull request system.
Metadata
Release files for ipopt 1.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ipopt-1.0.3.tar.gz | 42.4 kB | Without provenance | Details for ipopt-1.0.3.tar.gz |
Release files / ipopt-1.0.3.tar.gz
| Download URL | ipopt-1.0.3.tar.gz |
|---|---|
| Size | 42.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
656e787b06fe56e82c65ac18d3e1bba5e5b84f54df3800af9aeaf299caedaffc
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BLAKE2b-256 checksum How to use checksums |
62f186f03ab61b8859f8ebcab4043a526ee0aef9ec749e35360327f80868370e
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10
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Security for ipopt 1.0.3
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