Skip to content

A comparison of methods for generating random, evenly-spaced points in a hypercube with inequality constraints

Notifications You must be signed in to change notification settings

prashjet/evenly-spaced-random-sampling

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 

Repository files navigation

evenly-spaced-random-sampling

A comparison of methods for generating random, evenly-spaced points in a hypercube with inequality constraints. This is intended to provide a starting point for Bayesian Optimization.

See the Jupyter notebook.

About

A comparison of methods for generating random, evenly-spaced points in a hypercube with inequality constraints

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published