Toolbox for performing uncertainty quantification
Chaospy is a numerical tool for performing uncertainty quantification using polynomial chaos expansions and advanced Monte Carlo methods implemented in Python 2 and 3. A article in Elsevier Journal of Computational Science has been published introducing the software: DOI:10.1016/j.jocs.2015.08.008. If you are to use this software in work that is published, please cite this paper.
$
pkg install py311-chaospyOrigin
math/py-chaospy
Size
2.74MiB
License
MIT
Maintainer
yuri@FreeBSD.org
Dependencies
5 packages
Required by
1 packages