Skip to main content

Pymanopt

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

Overview
Latest version Latest version
Downloads Downloads
Build status Build status
Coverage Coverage
Code quality Codacy Badge Total alerts Language grade: Python
Community Gitter

Please refer to the documentation and this JMLR paper 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.

We encourage users and developers to report problems, request features, ask for help, or leave general comments either here on github or on gitter.

Pymanopt is distributed under the 3-clause BSD license.

Metadata

Release files for pymanopt 1.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pymanopt 1.0.0
File Size Uploaded
pymanopt-1.0.0.tar.gz 63.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pymanopt 1.0.0
File Interpreter ABI Platform
pymanopt-1.0.0-py3-none-any.whl Python 3 none any Details

Total release size: 158.4 kB

Release files / pymanopt-1.0.0.tar.gz

Download URL pymanopt-1.0.0.tar.gz
Size 63.9 kB
Tags Source
SHA-256 checksum
How to use checksums
375fc0f60c876e33a646263d5adde302e42df41c93a015305f42c668829c121e
BLAKE2b-256 checksum
How to use checksums
5ee7f9af2cc5acafea1bf3eda1e5d543617eb654feccb14143787fd4f8192cbf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.0 CPython/3.9.12

Release files / pymanopt-1.0.0-py3-none-any.whl

Download URL pymanopt-1.0.0-py3-none-any.whl
Size 94.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d1c40a65da2621cb86b1be4186faf99ceb311c1f72ea144987375959aa284163
BLAKE2b-256 checksum
How to use checksums
7e9edcf9876767e06c983883d92c3ec1b7d577bd978501e1e306857c33cc6a7f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.0 CPython/3.9.12

Release history Release notifications | RSS feed

2.2.1

2 release files

2.2.0

2 release files

2.1.1

2 release files

2.1.0

2 release files

2.0.1

2 release files

2.0.0

2 release files

This release

1.0.0 This release

2 release files

0.2.5

2 release files

0.2.4

3 release files

0.2.3

1 release file

0.2.2

2 release files

0.2.1

1 release file

0.2.0

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page