Skip to content

Cython interface for the interior point optimzer IPOPT

License

Notifications You must be signed in to change notification settings

moorepants/cyipopt

 
 

Repository files navigation

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

Anaconda
PyPI https://pepy.tech/badge/cyipopt
Read the Docs Documentation Status

History

This repository was forked in 2016 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.

As of version 1.1.0 (2021-09-07), the distribution is released under the name "cyipopt" on PyPi (https://pypi.org/project/cyipopt). Before version 1.1.0, it was released under the name "ipopt" (https://pypi.org/project/ipopt).

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.

Building manylinux wheels

manylinux wheels can be built for a tagged version (GIT_TAG below) of cyipopt via docker by running (while in the root of this repo):

docker run -v $(pwd):/wheels --rm --platform=linux/amd64 quay.io/pypa/manylinux_2_28_x86_64 bash /wheels/build_manylinux_wheels.sh GIT_TAG

for linux/amd64 and:

docker run -v $(pwd):/wheels --rm --platform=linux/aarch64 quay.io/pypa/manylinux_2_28_aarch64 bash /wheels/build_manylinux_wheels.sh GIT_TAG

for linux/aarch64 platforms. Built wheels appear at the folder the command was executed from.

Warning

Docker supports emulating non-native platforms to e.g. produce ARM binaries from an AMD64 host. However this can be quite slow (~1h for our case).

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.

About

Cython interface for the interior point optimzer IPOPT

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 71.8%
  • Cython 27.4%
  • Shell 0.8%