samply 0.0.1

A library for computing samplings in arbitrary dimensions

A Collection of Space-filling Sampling Designs for Arbitrary Dimensions.

Including:

• Uniform sampling of a n-dimensional ball

• Uniform sampling of the directions on an n-dimensional sphere

• Sampling the Grassmannian Atlas

• An approximate Centroidal Voronoi Tessellation using a Probabilistic Lloyd’s Algorithm

• An approximate Constrained Centroidal Voronoi Tessellation on an n-sphere

The python CVT code is adapted from a C++ implementation provided by Carlos Correa. The Grassmannian sampler is adapted from code from Shusen Liu.