Skip to main content

Benchmarking optimization solvers

Project description

docs_badge codecov_badge

https://github.com/optiprofiler/optiprofiler/actions/workflows/matlab-unit_test.yml/badge.svg https://github.com/optiprofiler/optiprofiler/actions/workflows/matlab-test_multi-os.yml/badge.svg https://github.com/optiprofiler/optiprofiler/actions/workflows/matlab-random_test.yml/badge.svg https://github.com/optiprofiler/optiprofiler/actions/workflows/matlab-stress_test.yml/badge.svg

MATLAB version is available.

To install the MATLAB version, please do the following:

  1. Clone the repository using the following command:

git clone https://github.com/optiprofiler/optiprofiler.git
  1. In MATLAB, navigate to the folder where the source code is located, and you will see a file named setup.m. Run the following command in the MATLAB command window:

setup

Python version is under development.

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

optiprofiler-1.0.dev2.tar.gz (3.2 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

optiprofiler-1.0.dev2-py3-none-any.whl (5.3 MB view details)

Uploaded Python 3

File details

Details for the file optiprofiler-1.0.dev2.tar.gz.

File metadata

  • Download URL: optiprofiler-1.0.dev2.tar.gz
  • Upload date:
  • Size: 3.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for optiprofiler-1.0.dev2.tar.gz
Algorithm Hash digest
SHA256 4a82eb2d865f3760afe5019fea80ed5b9a4bd329ddc008c580d070d3453caac2
MD5 a1b0723c5f3def7c71d184f32f376394
BLAKE2b-256 d0a97e05e65e2858aafa30ef88b9688647a9adb50f37b2d3fb0f912ad099f53f

See more details on using hashes here.

File details

Details for the file optiprofiler-1.0.dev2-py3-none-any.whl.

File metadata

File hashes

Hashes for optiprofiler-1.0.dev2-py3-none-any.whl
Algorithm Hash digest
SHA256 e3dfe448d92585b0343a2d96e00aaced2aa8dcc978cfe31372d451c7ae23226f
MD5 dbc77ea87dd024c353ebe1856e05ad25
BLAKE2b-256 e5b6af0fd566afdaedd54837425606a6eb31e63097c75ac9626f39d811c9a9fa

See more details on using hashes here.

Supported by

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