Kratos::VectorAverageSampler< VectorType > Class Template Reference

This class manages the computation of the average of a vector quantity. More...

#include <statistics_utilities.h>

Inheritance diagram for Kratos::VectorAverageSampler< VectorType >:

Collaboration diagram for Kratos::VectorAverageSampler< VectorType >:

Public Member Functions
	VectorAverageSampler (std::function< VectorType(const Geometry< Node > &, const Vector &, const Matrix &)> Getter, std::size_t VectorSize, std::vector< std::string > &Tags)
	Initialize a sampler for a vector average quantity. More...
	~VectorAverageSampler () override
void	SampleDataPoint (const Geometry< Node > &rGeometry, const Vector &rShapeFunctions, const Matrix &rShapeDerivatives, std::vector< double >::iterator &BufferIterator) override
	For first-order statistics: read data directly. More...
void	OutputHeader (std::ofstream &rOutStream, const std::string &rSeparator) const override
	Write header for the output file. More...
Public Member Functions inherited from Kratos::StatisticsSampler
	KRATOS_CLASS_POINTER_DEFINITION (StatisticsSampler)
	StatisticsSampler (std::size_t NumValues)
	Define a new StatisticsSampler instance. More...
virtual	~StatisticsSampler ()
	Destructor. More...
virtual void	SampleDataPoint (std::vector< double >::iterator &BufferIterator, const StatisticsSampler::IntegrationPointDataView &rCurrentStatistics, const std::vector< double > &rNewMeasurement, const std::size_t NumberOfMeasurements)
	For higher-order statistics: operate on lower order data. More...
std::size_t	GetSize () const
	Number of quantities managed by this statistic. More...
virtual std::size_t	GetComponentOffset (std::size_t i) const
	Offset (from the start of the space allocated to this statistic) for the storage of component i. More...
virtual std::size_t	ComponentIndex (std::size_t i, std::size_t j) const
	Helper returning the correct argument in calls to GetComponentOffset for matrix quantities. More...
std::size_t	GetOffset () const
	Offset (from the start of the statistics container) to the first component stored by this statistic. More...
void	SetOffset (std::size_t Offset)
	Assign a new offset (from the start of the statistics container) to the first component stored by this statistic. More...
virtual void	OutputResult (std::ofstream &rOutStream, IntegrationPointDataViewIterator &rDataBuffer, std::size_t SampleSize, const std::string &rSeparator) const
	Write results managed by this class to output buffer. More...
virtual double	Finalize (double Value, std::size_t SampleSize) const
	Post-process internal data to produce the final value of the statistical result. More...
std::string	GetTag (std::size_t ComponentIndex) const
	Get the string associated one of the components of this statistic. More...

Additional Inherited Members
Public Types inherited from Kratos::StatisticsSampler
typedef Matrix::iterator1	IntegrationPointDataView
typedef Matrix::const_iterator2	IntegrationPointDataViewIterator
Protected Member Functions inherited from Kratos::StatisticsSampler
void	AddTag (std::string Tag)

Detailed Description

template<class VectorType>
class Kratos::VectorAverageSampler< VectorType >

This class manages the computation of the average of a vector quantity.

Constructor & Destructor Documentation

VectorAverageSampler()

template<class VectorType >

Kratos::VectorAverageSampler< VectorType >::VectorAverageSampler ( std::function< VectorType(const Geometry< Node > &, const Vector &, const Matrix &)>  Getter, std::size_t  VectorSize, std::vector< std::string > &  Tags  )

inline

Initialize a sampler for a vector average quantity.

Parameters

Gettr	Helper function to evaluate the quantity of interest.
VectorSize	Number of components of the vector.
Tags	Names to identify each of the components on result files.

See also

Internals::MakeSamplerAtLocalCoordinate for the definition of the Getter argument.

~VectorAverageSampler()

template<class VectorType >

Kratos::VectorAverageSampler< VectorType >::~VectorAverageSampler ( )

inlineoverride

Member Function Documentation

OutputHeader()

template<class VectorType >

void Kratos::VectorAverageSampler< VectorType >::OutputHeader ( std::ofstream &  rOutStream, const std::string &  rSeparator  ) const

inlineoverridevirtual

Write header for the output file.

This function is called when printing to a file.

Parameters

rOutStream	stream for the output file.
rSeparator	Separator for the output csv file (for example a comma or semicolon).

Reimplemented from Kratos::StatisticsSampler.

SampleDataPoint()

template<class VectorType >

void Kratos::VectorAverageSampler< VectorType >::SampleDataPoint ( const Geometry< Node > &  rGeometry, const Vector &  rShapeFunctions, const Matrix &  rShapeDerivatives, std::vector< double >::iterator &  BufferIterator  )

inlineoverridevirtual

For first-order statistics: read data directly.

To be implemented in derived classes. Note that the BufferIterator argument will be advanced during the call.

Parameters

[in]	rGeometry	The geometry for the element that contains the point where statistics are sampled.
[in]	rShapeFunctions	Local values of elemental shape functions at the sampling point.
[in]	rShapeDerivatives	Local values of elemental shape function gradients at the sampling point.
	BufferIterator	Iterator pointing to the start of the storage of the statistics managed by this class.

Reimplemented from Kratos::StatisticsSampler.

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

• /home/runner/work/Documentation/Documentation/master/applications/FluidDynamicsApplication/custom_utilities/statistics_utilities.h