Skip to main content

Surrogate Optimization Toolbox

Project description

pySOT is an optimization toolbox for global deterministic optimization problems. The main purpose of the toolbox is for optimization of computationally expensive black-box objective functions with continuous and/or integer variables where the number of evaluations is limited.

The toolbox is hosted on GitHub: https://github.com/dme65/pySOT

Please refer to pySOT.pdf for more details about the functionality of the toolbox.

Check out the new GUI

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

pySOT-0.1.15.tar.gz (1.3 MB view details)

Uploaded Source

File details

Details for the file pySOT-0.1.15.tar.gz.

File metadata

  • Download URL: pySOT-0.1.15.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pySOT-0.1.15.tar.gz
Algorithm Hash digest
SHA256 5108455988e601efbe67c74c2ccb9489ad75caebd4e4d55cd43cca8092cbda5f
MD5 3505fcdbac4c6a74f1d83bbcfd9a928d
BLAKE2b-256 d8af00de919bbf87efaff4b79e25d065b541998c324456b273ebfd6a49ef92cf

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