Skip to main content
This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

A set of well-selected test functions for unconstrained global optimization

Project Description

This library contains the implementation of various well-selected benchmark problems required in order to examine the performance of unconstrained global optimization methods.

The latest version currently contain the following benchmark problems: -> Alpine Function -> Bartels Conn Function -> Beale Function -> Booth Function -> Deckkers-Aarts Function -> Egg Crate Function -> Goldstein Price Function -> Leon Function -> Matyas Function -> Powell Sum Function

Release History

Release History

This version
History Node

1.0

History Node

0.1

Download Files

Download Files

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

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
global_opt-1.0.1.win-amd64.exe (239.1 kB) Copy SHA256 Checksum SHA256 2.7 Windows Installer Jun 6, 2016
global_opt-1.0.1.win-amd64.msi (196.6 kB) Copy SHA256 Checksum SHA256 2.7 Windows MSI Installer May 28, 2016
global_opt-1.0.win-amd64.msi (180.2 kB) Copy SHA256 Checksum SHA256 2.7 Windows MSI Installer May 25, 2016

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting