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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
samply-0.0.1.tar.gz
(6.2 kB
view details)
File details
Details for the file samply-0.0.1.tar.gz.
File metadata
- Download URL: samply-0.0.1.tar.gz
- Upload date:
- Size: 6.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.9.1 pkginfo/1.4.1 requests/2.18.4 setuptools/39.0.1 requests-toolbelt/0.8.0 tqdm/4.19.5 CPython/3.5.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | efcb9cc2d07dd3842d09c91cbda0b24c9c2e2742d6e71dc6c9fc172b123e4d66 |
|
| MD5 | 3b2a79f2d207109540d8c2267c0f1ef9 |
|
| BLAKE2b-256 | a04833f1adb529efab65803324b28530f884aa9be520bae8222ce4a8dcc2cb94 |
