Numerical tool for performing uncertainty quantification
Chaospy is a numerical toolbox designed for performing uncertainty quantification through polynomial chaos expansions and advanced Monte Carlo methods implemented in Python. It includes a comprehensive suite of tools for low-discrepancy sampling, quadrature creation, polynomial manipulations, and much more.
Release | Stable | Testing |
---|---|---|
Fedora Rawhide | 4.3.15-10.fc41 | - |
Fedora 40 | 4.3.14-1.fc40 | 4.3.15-10.fc40 |
Fedora 39 | 4.3.14-1.fc39 | 4.3.15-10.fc39 |
Fedora 38 | 4.3.13-4.fc38 | - |
You can contact the maintainers of this package via email at
python-chaospy dash maintainers at fedoraproject dot org
.