Skip to main content

LHS with sudoku constraint

Project description

Latin hypercube sampler with a sudoku-like constraint.

The sudoku LHS algorithm is a bit like the first stage in the design of an N-dimensional sudoku puzzle, hence the name: each “sudoku box” must have exactly the same number of samples, and no two samples may occur on the same axis-aligned hyperplane.

This gives coarse stratification in N dimensions with linear runtime.

Supports Python 2.7 and 3.4.

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

sudoku_lhs-0.1.1.tar.gz (13.3 kB view hashes)

Uploaded source

Built Distribution

sudoku_lhs-0.1.1-py2.py3-none-any.whl (15.9 kB view hashes)

Uploaded py2 py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page