Skip to main content

Toolbox for optimization on Riemannian manifolds with support for automatic

Project description

Pymanopt

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

Overview
Latest version Latest version DOI
Downloads Downloads
Build status Build status
Coverage Coverage
Code quality Codacy Badge CodeQL
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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pymanopt-2.1.0.tar.gz (22.3 kB view details)

Uploaded Source

Built Distribution

pymanopt-2.1.0-py3-none-any.whl (3.7 kB view details)

Uploaded Python 3

File details

Details for the file pymanopt-2.1.0.tar.gz.

File metadata

  • Download URL: pymanopt-2.1.0.tar.gz
  • Upload date:
  • Size: 22.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.1

File hashes

Hashes for pymanopt-2.1.0.tar.gz
Algorithm Hash digest
SHA256 288c7d04ea029cd76f5818b540ce0be66291608e26800d945d70bfa52cc72f7c
MD5 8b01371683f91e2f3fc55a3529524b43
BLAKE2b-256 af92196881a668fb33250076129bdb7e0923f001ec28c1bff683331d05052716

See more details on using hashes here.

Provenance

File details

Details for the file pymanopt-2.1.0-py3-none-any.whl.

File metadata

  • Download URL: pymanopt-2.1.0-py3-none-any.whl
  • Upload date:
  • Size: 3.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.1

File hashes

Hashes for pymanopt-2.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 04c8534eba0f3c041eec89b562c23a26f32a7c76f69417eedd5baaabc98b1d54
MD5 fbd54aeed526622e9dbbd3ab45831683
BLAKE2b-256 f883b7860cd108ce9b40e02f2701b6bc01721933eac32230869d0e519adfe2ae

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page