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-0.1.9.tar.gz (40.2 kB view details)

Uploaded Source

File details

Details for the file pySOT-0.1.9.tar.gz.

File metadata

  • Download URL: pySOT-0.1.9.tar.gz
  • Upload date:
  • Size: 40.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pySOT-0.1.9.tar.gz
Algorithm Hash digest
SHA256 096875f4242f82d5f1be100798afed243696776cda3fa8677bd003ec9cb1785e
MD5 eea91b69264e08033114ed4977d4bdc6
BLAKE2b-256 febccfb65a0907592fe19769ed07bf24a26e511e53db67bbd577571163a2a15b

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