BSD Ports

math/py-chaospy 4.3.11_2 DragonFly

Toolbox for performing uncertainty quantification

System
DragonFly
Repository
DPorts
Maintainer
[email protected] (as in FreeBSD)
License
MIT
Categories
math, python
Package size
330.7 KiB, 2804.8 KiB installed

Description

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.

In the other systems

SystemPortVersion
DragonFlymath/py-chaospy4.3.11_2
FreeBSDmath/py-chaospy4.3.21
HardenedBSDmath/py-chaospy4.3.21
GhostBSDmath/py-chaospy4.3.21

Install

Binary package:

pkg install py311-chaospy

From DPorts:

cd /usr/dports/math/py-chaospy && make install clean

Dependencies

Run dependencies 5

No port depends on this one.