Metadata-Version: 2.1
Name: genosolver
Version: 0.0.3.1
Summary: GENO is a solver for non-linear optimization problems. It can solve constrained and unconstrained problems.
Home-page: http://www.geno-project.org
Author: Soeren Laue
Author-email: soeren.laue@uni-jena.de
License: AGPL-3.0
Keywords: optimization,machine_learning
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
Classifier: License :: OSI Approved :: GNU Affero General Public License v3
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy (>=1.17)
Requires-Dist: packaging

# The GENO solver

[![Build Status](https://travis-ci.com/slaue/genosolver.svg?token=6e4Ji9xEp8uDra4uHsxu&branch=master)](https://travis-ci.com/slaue/genosolver)

GENO is a solver for non-linear optimization problems. It can solve constrained and unconstrained problems.

## Installing

```
pip install genosolver
```

## Project Homepage

See [geno-project.org](http://www.geno-project.org) for more details, examples, and for an easy-to-read  modeling language interface.


## Authors

* [**Soeren Laue**](https://theinf2.informatik.uni-jena.de/People/Soeren+Laue.html) - most of the solver -
* [**Matthias Mitterreiter**](https://theinf2.informatik.uni-jena.de/People/Matthias+Mitterreiter.html)


## License

This project is licensed under the GNU Affero General Public License v3.

## Paper

For more information, see the paper [GENO -- GENeric Optimization for Classical Machine Learning](http://papers.nips.cc/paper/8491-geno-generic-optimization-for-classical-machine-learning), In *Advances in Neural Information Processing Systems (NeurIPS),* 2019.


