cmp::distribution::ProposalDistribution< Derived > Class Template Reference

#include <distribution.h>

Inheritance diagram for cmp::distribution::ProposalDistribution< Derived >:

Collaboration diagram for cmp::distribution::ProposalDistribution< Derived >:

Public Member Functions
double	logJumpPDF (const Eigen::Ref< const Eigen::VectorXd > &jump)
Eigen::VectorXd	sample (std::default_random_engine &rng, const double &gamma)
double	squaredMahalanobis (const Eigen::Ref< const Eigen::VectorXd > &jump) const
Eigen::VectorXd	sample (std::default_random_engine &rng)
Eigen::VectorXd	get () const
void	set (const Eigen::Ref< const Eigen::VectorXd > &x)
Public Member Functions inherited from cmp::distribution::MultivariateDistribution< Derived >
double	logPDF (const Eigen::Ref< const Eigen::VectorXd > &x) const
	Computes the joint log probability density function (log-PDF) of the distribution.
Eigen::VectorXd	sample (std::default_random_engine &rng)
	Draws a single vector sample from the joint distribution.
Eigen::MatrixXd	toCanonical (const Eigen::MatrixXd &x) const
	Transforms physical samples to standard canonical space.
Eigen::MatrixXd	fromCanonical (const Eigen::MatrixXd &x) const
	Transforms standard canonical samples back to physical space.
size_t	dimension () const
	Returns the dimensionality of the multivariate space.

Member Function Documentation

get()

template<typename Derived >

Eigen::VectorXd cmp::distribution::ProposalDistribution< Derived >::get ( ) const

inline

logJumpPDF()

template<typename Derived >

double cmp::distribution::ProposalDistribution< Derived >::logJumpPDF ( const Eigen::Ref< const Eigen::VectorXd > &  jump )

inline

sample() [1/2]

template<typename Derived >

Eigen::VectorXd cmp::distribution::ProposalDistribution< Derived >::sample ( std::default_random_engine &  rng )

inline

sample() [2/2]

template<typename Derived >

Eigen::VectorXd cmp::distribution::ProposalDistribution< Derived >::sample ( std::default_random_engine &  rng, const double &  gamma  )

inline

set()

template<typename Derived >

void cmp::distribution::ProposalDistribution< Derived >::set ( const Eigen::Ref< const Eigen::VectorXd > &  x )

inline

squaredMahalanobis()

template<typename Derived >

double cmp::distribution::ProposalDistribution< Derived >::squaredMahalanobis ( const Eigen::Ref< const Eigen::VectorXd > &  jump ) const

inline

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

• include/distribution.h