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.

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-0.1.3.tar.gz (28.3 kB view details)

Uploaded Source

File details

Details for the file pySOT-0.1.3.tar.gz.

File metadata

  • Download URL: pySOT-0.1.3.tar.gz
  • Upload date:
  • Size: 28.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pySOT-0.1.3.tar.gz
Algorithm Hash digest
SHA256 3050ba5208b145f0001d377af21fb572708a23aa8ee6318232eb89b3c12ea82b
MD5 e639daf807accf21a7cef2ebb7a4ccc4
BLAKE2b-256 5020f7f8b6caa106c2e81fd4f4b24afc7013742578b822b157c75f920dfdbda7

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