Metadata-Version: 2.1
Name: nlopt
Version: 2.7.1
Summary: Library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
Author: Daniel Bok
Author-email: daniel.bok@outlook.com
Maintainer: Daniel Bok
Maintainer-email: daniel.bok@outlook.com
License: MIT
Project-URL: Documentation, https://nlopt.readthedocs.io/en/latest/
Project-URL: Code, https://github.com/DanielBok/nlopt-python
Project-URL: Issue tracker, https://github.com/DanielBok/nlopt-python/issues
Keywords: algorithms,global local constrained unconstrained optimization,optimization,non-linear optimization
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: Unix
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy (>=1.18.5)

NLOpt Python
============

[![PyPI version](https://badge.fury.io/py/nlopt.svg)](https://badge.fury.io/py/nlopt)
![Build](https://github.com/DanielBok/nlopt-python/workflows/Build/badge.svg?branch=master)

This project builds Python wheels for the NLOpt library. NLOpt contains various routines for non-linear optimization.

## Versions supported

The project supports Python versions 3.6+ and above for Windows, MacOS, and Linux.

## Installation

```bash
pip install nlopt
```

## Documentation

For more information on how to use NLOpt, refer to the [documentation](https://nlopt.readthedocs.io/en/latest/NLopt_Python_Reference/).
