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A library for computing samplings in arbitrary dimensions

Project description

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.

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