sgpp::datadriven::OperationDensityRejectionSampling Class Reference

Sampling on all dimensions. More...

#include <OperationDensityRejectionSampling.hpp>

Inheritance diagram for sgpp::datadriven::OperationDensityRejectionSampling:

Public Member Functions
virtual void	doSampling (base::DataVector *alpha, base::DataMatrix *&samples, size_t num_samples, size_t trial_max)=0
	Rejection sampling. More...
	OperationDensityRejectionSampling ()
virtual	~OperationDensityRejectionSampling ()

Detailed Description

Sampling on all dimensions.

Constructor & Destructor Documentation

OperationDensityRejectionSampling()

sgpp::datadriven::OperationDensityRejectionSampling::OperationDensityRejectionSampling ( )

inline

~OperationDensityRejectionSampling()

virtual sgpp::datadriven::OperationDensityRejectionSampling::~OperationDensityRejectionSampling ( )

inlinevirtual

References alpha, doSampling(), and parabolasimple::samples.

Member Function Documentation

doSampling()

virtual void sgpp::datadriven::OperationDensityRejectionSampling::doSampling ( base::DataVector *  alpha, base::DataMatrix *&  samples, size_t  num_samples, size_t  trial_max  )

pure virtual

Rejection sampling.

Parameters

alpha	Coefficient vector for current grid
samples	Output DataMatrix (rows: # of samples, columns: # of dims)
num_samples	# of samples to draw
trial_max	maximum # of trials for drawing a sample (exceeding will cause operation to stop)

Implemented in sgpp::datadriven::OperationDensityRejectionSamplingLinear.

Referenced by ~OperationDensityRejectionSampling().

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

• datadriven/src/sgpp/datadriven/operation/hash/simple/OperationDensityRejectionSampling.hpp