python3-stochastic Subpackage of python-stochastic
Generate realizations of stochastic processes in python
This package offers a number of common discrete-time, continuous-time, and noise process objects for generating realizations of stochastic processes as numpy arrays. The diffusion processes are approximated using the Euler–Maruyama method.
Releases Overview
| Release | Stable | Testing |
|---|---|---|
| Fedora Rawhide | 0.6.0-2.fc36 | - |
Package Info
Related Packages
- Upstream: https://github.com/crflynn/stochastic
- License(s): MIT
- Maintainer: iztokf
Related Packages
You can contact the maintainers of this package via email at
python-stochastic dash maintainers at fedoraproject dot org.
Sources on Pagure