cmaes: CMA-ES wrapper in Haskell

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cmaes is a wrapper for Covariance Matrix Adaptation Evolution Strategy(CMA-ES), an evolutionary algorithm for difficult non-linear non-convex optimization problems in continuous domain. To use this package you need python2 with numpy available on your system. The package includes cma.py , Nikolaus Hansen's production-level CMA library: http://www.lri.fr/~hansen/cmaes_inmatlab.html#python.

Modules

[Index]

Numeric
- Optimization
  - Algorithms
    - Numeric.Optimization.Algorithms.CMAES

Downloads

cmaes-0.1.0.0.tar.gz [browse] (Cabal source package)
Package description (as included in the package)

Maintainer's Corner

Package maintainers

DominicSteinitz, TakayukiMuranushi

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Candidates

0.2.3

Versions [RSS]	0.1.0.0, 0.1.0.1, 0.1.1, 0.2.0, 0.2.1, 0.2.1.1, 0.2.2, 0.2.2.1, 0.2.3
Dependencies	base (>=4 && <5), mtl, process, syb [details]
License	LicenseRef-OtherLicense
Author	Takayuki Muranushi
Maintainer	muranushi@gmail.com
Category	Numerical, Optimization, Algorithms
Source repo	head: git clone git://github.com/nushio3/cmaes.git
Uploaded	by TakayukiMuranushi at 2012-09-29T14:05:13Z
Distributions	NixOS:0.2.3
Reverse Dependencies	1 direct, 0 indirect [details]
Downloads	7076 total (33 in the last 30 days)
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Status	Docs uploaded by user Build status unknown [no reports yet]