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pypi.org : pysgpp
The sparse grids toolkit SG++ SG++ is a collection of numerical algorithms for sparse grids. It contains modules for interpolation, quadrature, data mining (regression, classification, clustering), optimization, PDEs, and more. SG++ implements algorithms for spatially adaptive grids and also provides a module for the combination technique. Many of the implemented algorithms are also available as a high-performance version, often orders of magnitude faster than standard implementations.
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purl: pkg:pypi/pysgpp
Keywords: adaptive-sparse-grids, b-splines, cpp, interpolation, java, machine-learning, matlab, numerics, optimization, pde, python, quadrature, regression, sparse-grids
License: Abstyles
Latest release: about 4 years ago
First release: about 4 years ago
Dependent repositories: 1
Downloads: 44 last month
Stars: 66 on GitHub
Forks: 37 on GitHub
Total Commits: 8346
Committers: 117
Average commits per author: 71.333
Development Distribution Score (DDS): 0.843
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Last synced: 15 days ago