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
| System | Port | Version |
|---|---|---|
| DragonFly | math/py-chaospy | 4.3.11_2 |
| FreeBSD | math/py-chaospy | 4.3.21 |
| HardenedBSD | math/py-chaospy | 4.3.21 |
| GhostBSD | math/py-chaospy | 4.3.21 |
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.