edoSamplerNormalAdaptive< EOT, D > Class Template Reference

Sample points in a multi-normal law defined by a mean vector, a covariance matrix, a sigma scale factor and evolution paths. More...

#include <edoSamplerNormalAdaptive.h>

Inheritance diagram for edoSamplerNormalAdaptive< EOT, D >:

List of all members.

Public Types
typedef EOT::AtomType	AtomType
typedef D::Vector	Vector
typedef D::Matrix	Matrix
Public Member Functions
	edoSamplerNormalAdaptive (edoRepairer< EOT > &repairer)
EOT	sample (D &distrib)

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Detailed Description

template<class EOT, typename D = edoNormalAdaptive< EOT >>
class edoSamplerNormalAdaptive< EOT, D >

Sample points in a multi-normal law defined by a mean vector, a covariance matrix, a sigma scale factor and evolution paths.

This is a step of the CMA-ES algorithm.

Definition at line 46 of file edoSamplerNormalAdaptive.h.

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The documentation for this class was generated from the following file:

• edoSamplerNormalAdaptive.h