NetBuilder::GaussMethod Struct Reference

Class to compute the t-value of a projection of a digital net in base 2. More...

#include <TValueComputation.h>

Static Public Member Functions
static unsigned int	computeTValue (std::vector< GeneratingMatrix > baseMatrices, unsigned int maxTValuesSubProj, int verbose)
	Compute the t-value corresponding to the generating matrices baseMatrices, using the prior knowledge that the maximum of the t-values of the subprojections is maxTValuesSubProj.
static std::vector< unsigned int >	computeTValue (std::vector< GeneratingMatrix > baseMatrices, const std::vector< unsigned int > &maxTValuesSubProj, int verbose)
	Compute the t-value corresponding to the generating matrices baseMatrices, for each level, using the prior knowledge that the maximum of the t-values of the subprojections, for each level i is maxTValuesSubProj[i].
static std::vector< unsigned int >	computeTValue (std::vector< GeneratingMatrix > baseMatrices, unsigned int mMin, const std::vector< unsigned int > &maxTValuesSubProj, int verbose)
	Compute the t-value corresponding to the generating matrices baseMatrices, for each level greater or equal to mMin, using the prior knowledge that the maximum of the t-values of the subprojections, for each level i + mMin is maxTValuesSubProj[i].

Detailed Description

Class to compute the t-value of a projection of a digital net in base 2.

This class uses a refined version of the gaussian elimination to compute efficiently the t-value of a projection, knowing the t-value of the smaller projections. The algorithm is described in [rMAR20a].

Member Function Documentation

computeTValue() [1/3]

std::vector< unsigned int > NetBuilder::GaussMethod::computeTValue ( std::vector< GeneratingMatrix > baseMatrices, const std::vector< unsigned int > & maxTValuesSubProj, int verbose )

inlinestatic

Compute the t-value corresponding to the generating matrices baseMatrices, for each level, using the prior knowledge that the maximum of the t-values of the subprojections, for each level i is maxTValuesSubProj[i].

Parameters

baseMatrices	Generating matrices.
maxTValuesSubProj	Maximum of the t-value of the subprojections.
verbose	Verbosity level.

References computeTValue().

computeTValue() [2/3]

unsigned int NetBuilder::GaussMethod::computeTValue ( std::vector< GeneratingMatrix > baseMatrices, unsigned int maxTValuesSubProj, int verbose )

static

Compute the t-value corresponding to the generating matrices baseMatrices, using the prior knowledge that the maximum of the t-values of the subprojections is maxTValuesSubProj.

Parameters

baseMatrices	Generating matrices.
maxTValuesSubProj	Maximum of the t-value of the subprojections.
verbose	Verbosity level.

Referenced by computeTValue().

computeTValue() [3/3]

std::vector< unsigned int > NetBuilder::GaussMethod::computeTValue ( std::vector< GeneratingMatrix > baseMatrices, unsigned int mMin, const std::vector< unsigned int > & maxTValuesSubProj, int verbose )

static

Compute the t-value corresponding to the generating matrices baseMatrices, for each level greater or equal to mMin, using the prior knowledge that the maximum of the t-values of the subprojections, for each level i + mMin is maxTValuesSubProj[i].

We do not compute the t-value for the lower levels.

Parameters

baseMatrices	Generating matrices.
mMin	Minimul level.
maxTValuesSubProj	Maximum of the t-value of the subprojections.
verbose	Verbosity level.

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

• include/netbuilder/FigureOfMerit/TValueComputation.h