BIE::AdaptiveLegeIntegration Class Reference

Gauss-Legendre integration in two-dimensional cell. More...

#include <AdaptiveLegeIntegration.h>

Inheritance diagram for BIE::AdaptiveLegeIntegration:

Collaboration diagram for BIE::AdaptiveLegeIntegration:

List of all members.

Public Member Functions

AdaptiveLegeIntegration (double dx, double dy)

Constructor.

~AdaptiveLegeIntegration ()

Destructor.

void ParameterChange (double dx, double dy)

Change integration parameters.

double NormValue (Model *m, Tile *t, SampleDistribution *d)

Return value for model normalization.

vector< double > Value (Model *m, Tile *t, SampleDistribution *d)

Return value of model.

double NormValue (Model *m, Tile *t, SampleDistribution *d, int irank, int nrank)

Get the line-of-site value (tile granulatrity version).

vector< double > Value (Model *m, Tile *t, SampleDistribution *d, int irank, int nrank, MPI_Comm &comm)

Get the line-of-site value (integral granulatrity version).

double NormValue (LikelihoodComputation *p_likelihoodComputation, Model *p_model, Tile *p_tile, SampleDistribution *p_dist)

Compute norm Value of model over a tile using a likelihoodCompuation object as an intermediary.

vector< double > Value (LikelihoodComputation *p_likelihoodComputation, Model *p_model, Tile *p_tile, SampleDistribution *p_dist)

Compute value of model over a tile using a likelihoodCompuation object as an intermediary.

Static Public Attributes

static int min_nlb

Minimum number of quadrature points (default = 2).

static int max_nlb

Maximum number of quadrature points (default = 200).

Friends

class boost::serialization::access

Detailed Description

Gauss-Legendre integration in two-dimensional cell.

Member Function Documentation

double BIE::AdaptiveLegeIntegration::NormValue	(	LikelihoodComputation *	p_likelihoodComputation,
		Model *	p_model,
		Tile *	p_tile,
		SampleDistribution *	p_dist
	)			`[virtual]`

Compute norm Value of model over a tile using a likelihoodCompuation object as an intermediary.

Calling thread will block until integration is completed and function returns.

Reimplemented from BIE::Integration.

vector<double> BIE::AdaptiveLegeIntegration::Value	(	LikelihoodComputation *	p_likelihoodComputation,
		Model *	p_model,
		Tile *	p_tile,
		SampleDistribution *	p_dist
	)			`[virtual]`

Compute value of model over a tile using a likelihoodCompuation object as an intermediary.

Calling thread will block until integration is completed and function returns.

Reimplemented from BIE::Integration.

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

/home/weinberg/src/BIE/include/AdaptiveLegeIntegration.h