CMA-ES, Covariance Matrix Adaptation Evolution Strategy for non-linear numerical optimization in Python
A stochastic numerical optimization algorithm for difficult
(non-convex, ill-conditioned, multi-modal, rugged, noisy) optimization
problems in continuous search spaces, implemented in Python.
- Sources inherited from project devel:languages:python:numeric
- Devel package for openSUSE:Factory
-
1
derived packages
- Links to openSUSE:Factory / python-cma
- Download package
-
Checkout Package
osc -A https://api.opensuse.org checkout home:dgarcia:python312:numeric/python-cma && cd $_
- Create Badge
Refresh
Refresh
Source Files
Filename | Size | Changed |
---|---|---|
cma-3.3.0.tar.gz | 0000776265 758 KB | |
python-cma.changes | 0000001701 1.66 KB | |
python-cma.spec | 0000002112 2.06 KB |
Revision 7 (latest revision is 13)
buildservice-autocommit
accepted
request 885958
from
Steve Kowalik (StevenK)
(revision 7)
baserev update by copy to link target
Comments 0