pymanopt 2.2.1
Toolbox for optimization on Riemannian manifolds with support for automatic differentiation
License: BSD 3-Clause License
Requires Python: >=3.8
Keywords: manifolds, optimization, automatic differentiation

<a href="https://pymanopt.org"><img src="docs/logo.png?raw=true" width="150" align="right"/></a>

# Pymanopt

> A Python toolbox for optimization on Riemannian manifolds with support for
> automatic differentiation.

| Overview       |                                                                                                                                                                                                                                                                                                                                                                                                                    |
| -------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| Latest version | [![Latest version](https://badge.fury.io/py/pymanopt.svg)](https://badge.fury.io/py/pymanopt) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7500014.svg)](https://doi.org/10.5281/zenodo.7500014)                                                                                                                                                                                                            |
| Downloads      | [![Downloads](https://static.pepy.tech/personalized-badge/pymanopt?period=total&units=international_system&left_color=grey&right_color=green&left_text=Downloads)](https://pepy.tech/project/pymanopt)                                                                                                                                                                                                             |
| Build status   | [![Build status](https://github.com/pymanopt/pymanopt/actions/workflows/run_tests.yml/badge.svg)](https://github.com/pymanopt/pymanopt/actions/workflows/run_tests.yml)                                                                                                                                                                                                                                            |
| Coverage       | [![Coverage](https://coveralls.io/repos/github/pymanopt/pymanopt/badge.svg?branch=master)](https://coveralls.io/github/pymanopt/pymanopt?branch=master)                                                                                                                                                                                                                                                            |
| Code quality   | [![Codacy Badge](https://app.codacy.com/project/badge/Grade/6de2ef56791d4c3b8eb991f66e250a28)](https://www.codacy.com/gh/pymanopt/pymanopt/dashboard?utm_source=github.com&utm_medium=referral&utm_content=pymanopt/pymanopt&utm_campaign=Badge_Grade) [![CodeQL](https://github.com/pymanopt/pymanopt/actions/workflows/codeql.yml/badge.svg)](https://github.com/pymanopt/pymanopt/actions/workflows/codeql.yml) |
| Community      | [![Gitter](https://badges.gitter.im/pymanopt/pymanopt.svg)](https://gitter.im/pymanopt/pymanopt?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)                                                                                                                                                                                                                                         |

Please refer to the **[documentation](https://pymanopt.org/docs/)** and this
[JMLR paper](http://www.jmlr.org/papers/v17/16-177.html) to get started with
optimization on manifolds using Pymanopt.
If you wish to extend Pymanopt's functionality and/or contribute to the project
please refer to the [contributing guide](CONTRIBUTING.md).

We encourage users and developers to report problems, request features,
ask for help, or leave general comments either here on github or on
[gitter](https://gitter.im/pymanopt/pymanopt).

Pymanopt is distributed under the [3-clause BSD license](LICENSE).