#include <DistributedCollection.h>

Inheritance diagram for muq::SamplingAlgorithms::DistributedCollection:

Detailed Description

Definition at line 18 of file DistributedCollection.h.

Public Member Functions
	DistributedCollection (std::shared_ptr< SampleCollection > collection, std::shared_ptr< parcer::Communicator > comm)

virtual	~DistributedCollection ()=default

virtual void	Add (std::shared_ptr< SamplingState > newSamp) override
	Add a sample that is stored on this processor. More...

std::shared_ptr< SamplingState >	LocalAt (unsigned i)
	Get the local state at the \(i^{th}\) index. More...

const std::shared_ptr< SamplingState >	LocalAt (unsigned i) const
	Get the local state at the \(i^{th}\) index. More...

std::shared_ptr< SamplingState >	GlobalAt (unsigned i)
	Get the global state at the \(i^{th}\) index. More...

const std::shared_ptr< SamplingState >	GlobalAt (unsigned i) const
	Get the global state at the \(i^{th}\) index. More...

virtual std::shared_ptr< SamplingState >	at (unsigned i) override
	Get the local state at the \(i^{th}\) index. More...

virtual const std::shared_ptr< SamplingState >	at (unsigned i) const override
	Get the local state at the \(i^{th}\) index. More...

unsigned int	LocalSize () const
	The number of samples stored locally. More...

unsigned int	GlobalSize () const
	The total number of samples. More...

virtual unsigned int	size () const override
	The total number of samples. More...

Eigen::VectorXd	LocalCentralMoment (unsigned order, int blockDim=-1) const
	Computes the componentwise central moments (e.g., variance, skewness, kurtosis, etc..) of a specific order. More...

Eigen::VectorXd	GlobalCentralMoment (unsigned order, int blockDim=-1) const
	Computes the componentwise central moments (e.g., variance, skewness, kurtosis, etc..) of a specific order. More...

virtual Eigen::VectorXd	CentralMoment (unsigned order, int blockDim=-1) const override
	Computes the componentwise central moments (e.g., variance, skewness, kurtosis, etc..) of a specific order. More...

Eigen::VectorXd	LocalMean (int blockDim=-1) const
	Compute the mean using only local samples. More...

Eigen::VectorXd	GlobalMean (int blockDim=-1) const
	Compute the mean using all of the samples. More...

virtual Eigen::VectorXd	Mean (int blockDim=-1) const override
	Compute the mean using all of the samples. More...

Eigen::VectorXd	LocalVariance (int blockDim=-1) const
	Compute the variance using only local samples. More...

Eigen::VectorXd	GlobalVariance (int blockDim=-1) const
	Compute the variance using all of the samples. More...

virtual Eigen::VectorXd	Variance (int blockDim=-1) const override
	Compute the variance using all of the samples. More...

Eigen::MatrixXd	LocalCovariance (int blockDim=-1) const
	Compute the covariance using only local samples. More...

Eigen::MatrixXd	GlobalCovariance (int blockDim=-1) const
	Compute the covariance using all of the samples. More...

virtual Eigen::MatrixXd	Covariance (int blockDim=-1) const override
	Compute the covariance using all of the samples. More...

Eigen::VectorXd	LocalESS (int blockDim=-1) const
	Compute the ESS using only local samples. More...

Eigen::VectorXd	GlobalESS (int blockDim=-1) const
	Compute the ESS using all of the samples. More...

virtual Eigen::VectorXd	ESS (int blockDim=-1) const override
	Compute the ESS using all of the samples. More...

Eigen::MatrixXd	AsLocalMatrix (int blockDim=-1) const
	Return all of the samples on the local processor as a matrix. More...

Eigen::MatrixXd	AsGlobalMatrix (int blockDim=-1) const
	Return all of the samples as a matrix. More...

virtual Eigen::MatrixXd	AsMatrix (int blockDim=-1) const override
	Return all of the samples as a matrix. More...

Eigen::VectorXd	LocalWeights () const
	Return all of the weights on this processor as a vector. More...

Eigen::VectorXd	GlobalWeights () const
	Return all of the weights as a vector. More...

virtual Eigen::VectorXd	Weights () const override
	Return all of the weights as a vector. More...

virtual void	WriteToFile (std::string const &filename, std::string const &dataset="/") const override

Eigen::VectorXd	GlobalExpectedValue (std::shared_ptr< muq::Modeling::ModPiece > const &f, std::vector< std::string > const &metains=std::vector< std::string >()) const

Eigen::VectorXd	LocalExpectedValue (std::shared_ptr< muq::Modeling::ModPiece > const &f, std::vector< std::string > const &metains=std::vector< std::string >()) const

virtual Eigen::VectorXd	ExpectedValue (std::shared_ptr< muq::Modeling::ModPiece > const &f, std::vector< std::string > const &metains=std::vector< std::string >()) const override

Public Member Functions inherited from muq::SamplingAlgorithms::SampleCollection
	SampleCollection ()=default

virtual	~SampleCollection ()=default

virtual std::shared_ptr< SampleCollection >	head (unsigned int N) const

virtual std::shared_ptr< SampleCollection >	tail (unsigned int N) const

virtual std::shared_ptr< SampleCollection >	segment (unsigned int startInd, unsigned int length, unsigned int skipBy=1) const

virtual const std::shared_ptr< SamplingState >	back () const

virtual Eigen::VectorXd	CentralMoment (unsigned order, Eigen::VectorXd const &mean, int blockNum=-1) const override
	Computes the componentwise central moments (e.g., variance, skewness, kurtosis, etc..) of a specific order given that we already know the mean. More...

virtual Eigen::VectorXd	CentralMoment (unsigned int order, int blockNum=-1) const override

virtual Eigen::MatrixXd	Covariance (Eigen::VectorXd const &mean, int blockInd=-1) const override

virtual std::vector< Eigen::MatrixXd >	RunningCovariance (int blockInd=-1) const

virtual std::vector< Eigen::MatrixXd >	RunningCovariance (Eigen::VectorXd const &mean, int blockInd=-1) const

virtual Eigen::VectorXd	ESS (std::string const &method="Batch") const override
	Returns the effective sample size of the samples. More...

virtual Eigen::VectorXd	ESS (int blockDim, std::string const &method) const override

Eigen::VectorXd	BatchESS (int blockInd=-1, int batchSize=-1, int overlap=-1) const

double	MultiBatchESS (int blockInd=-1, int batchSize=-1, int overlap=-1) const

virtual Eigen::VectorXd	StandardError (int blockInd, std::string const &method) const override

virtual Eigen::VectorXd	StandardError (int blockInd) const override

virtual Eigen::VectorXd	StandardError (std::string const &method="Batch") const override

virtual Eigen::VectorXd	BatchError (int blockInd=-1, int batchSize=-1, int overlap=-1) const

virtual Eigen::VectorXd	MultiBatchError (int blockInd=-1, int batchSize=-1, int overlap=-1) const

virtual Eigen::VectorXd	Rhat (int blockDim, unsigned int numSegments=4, boost::property_tree::ptree options=boost::property_tree::ptree()) const

virtual Eigen::VectorXd	Rhat (unsigned int numSegments=4, boost::property_tree::ptree options=boost::property_tree::ptree()) const

Public Member Functions inherited from muq::SamplingAlgorithms::SampleEstimator
virtual	~SampleEstimator ()=default

virtual unsigned int	BlockSize (int blockInd) const =0

virtual unsigned int	NumBlocks () const =0

virtual Eigen::VectorXd	CentralMoment (unsigned int order, Eigen::VectorXd const &mean, int blockNum=-1) const

virtual Eigen::VectorXd	StandardizedMoment (unsigned int order, int blockInd=-1) const

virtual Eigen::VectorXd	StandardizedMoment (unsigned int order, Eigen::VectorXd const &mean, int blockInd=-1) const

virtual Eigen::VectorXd	StandardizedMoment (unsigned int order, Eigen::VectorXd const &mean, Eigen::VectorXd const &stdDev, int blockInd=-1) const

virtual Eigen::VectorXd	Variance (Eigen::VectorXd const &mean, int blockInd=-1) const

virtual Eigen::VectorXd	Skewness (int blockInd=-1) const

virtual Eigen::VectorXd	Skewness (Eigen::VectorXd const &mean, int blockInd=-1) const

virtual Eigen::VectorXd	Skewness (Eigen::VectorXd const &mean, Eigen::VectorXd const &stdDev, int blockInd=-1) const

virtual Eigen::VectorXd	Kurtosis (int blockInd=-1) const

virtual Eigen::VectorXd	Kurtosis (Eigen::VectorXd const &mean, int blockInd=-1) const

virtual Eigen::VectorXd	Kurtosis (Eigen::VectorXd const &mean, Eigen::VectorXd const &stdDev, int blockInd=-1) const

Additional Inherited Members
Static Public Member Functions inherited from muq::SamplingAlgorithms::SampleCollection
static std::shared_ptr< SampleCollection >	FromMatrix (Eigen::MatrixXd const &samps)

Constructor & Destructor Documentation

◆ DistributedCollection()

DistributedCollection::DistributedCollection	(	std::shared_ptr< SampleCollection >	collection,
		std::shared_ptr< parcer::Communicator >	comm
	)

Definition at line 12 of file DistributedCollection.cpp.

◆ ~DistributedCollection()

virtual muq::SamplingAlgorithms::DistributedCollection::~DistributedCollection ( )

virtualdefault

Member Function Documentation

◆ Add()

void DistributedCollection::Add ( std::shared_ptr< SamplingState > newSamp )

overridevirtual

Add a sample that is stored on this processor.

Parameters

[in] newSamp The sample to be added

Reimplemented from muq::SamplingAlgorithms::SampleCollection.

Definition at line 14 of file DistributedCollection.cpp.

References collection.

◆ AsGlobalMatrix()

Eigen::MatrixXd DistributedCollection::AsGlobalMatrix ( int blockDim = -1 ) const

Return all of the samples as a matrix.

Parameters

[in] blockDim Return the samples of this block

Returns: Each column is a sample

Definition at line 137 of file DistributedCollection.cpp.

References AsLocalMatrix(), comm, GlobalSize(), and LocalSize().

Referenced by AsMatrix().

◆ AsLocalMatrix()

Eigen::MatrixXd DistributedCollection::AsLocalMatrix ( int blockDim = -1 ) const

Return all of the samples on the local processor as a matrix.

Parameters

[in] blockDim Return the samples of this block

Returns: Each column is a sample

Definition at line 135 of file DistributedCollection.cpp.

References collection.

Referenced by AsGlobalMatrix().

◆ AsMatrix()

Eigen::MatrixXd DistributedCollection::AsMatrix ( int blockDim = -1 ) const

overridevirtual

Return all of the samples as a matrix.

Parameters

[in] blockDim Return the samples of this block

Returns: Each column is a sample

Reimplemented from muq::SamplingAlgorithms::SampleCollection.

Definition at line 158 of file DistributedCollection.cpp.

References AsGlobalMatrix().

◆ at() [1/2]

const std::shared_ptr< SamplingState > DistributedCollection::at ( unsigned i ) const

overridevirtual

Get the local state at the \(i^{th}\) index.

Parameters

[in] i The local index

Reimplemented from muq::SamplingAlgorithms::SampleCollection.

Definition at line 20 of file DistributedCollection.cpp.

References GlobalAt().

◆ at() [2/2]

std::shared_ptr< SamplingState > DistributedCollection::at ( unsigned i )

overridevirtual

Get the local state at the \(i^{th}\) index.

Parameters

[in] i The local index

Reimplemented from muq::SamplingAlgorithms::SampleCollection.

Definition at line 18 of file DistributedCollection.cpp.

References GlobalAt().

◆ CentralMoment()

Eigen::VectorXd DistributedCollection::CentralMoment	(	unsigned	order,
		int	blockDim = `-1`
	)		const

overridevirtual

Computes the componentwise central moments (e.g., variance, skewness, kurtosis, etc..) of a specific order.

Defaults to using all of the samples.

Parameters

[in]	order	The order of the central moment
[in]	blockDim	Compute the central moment of this block

Returns: The central moment using all of the samples

Definition at line 96 of file DistributedCollection.cpp.

References GlobalCentralMoment().

◆ Covariance()

Eigen::MatrixXd DistributedCollection::Covariance ( int blockDim = -1 ) const

overridevirtual

Compute the covariance using all of the samples.

Defaults to using the global covariance.

Parameters

[in] blockDim Compute the covariance of this block

Returns: The global covariance

Reimplemented from muq::SamplingAlgorithms::SampleCollection.

Definition at line 114 of file DistributedCollection.cpp.

References GlobalCovariance().

◆ ESS()

Eigen::VectorXd DistributedCollection::ESS ( int blockDim = -1 ) const

overridevirtual

Compute the ESS using all of the samples.

Defaults to using the global ESS.

Parameters

[in] blockDim Compute the ESS of this block

Returns: The global ESS

Reimplemented from muq::SamplingAlgorithms::SampleCollection.

Definition at line 133 of file DistributedCollection.cpp.

References GlobalESS().

◆ ExpectedValue()

Eigen::VectorXd DistributedCollection::ExpectedValue	(	std::shared_ptr< muq::Modeling::ModPiece > const &	f,
		std::vector< std::string > const &	metains = `std::vector< std::string >()`
	)		const

overridevirtual

Using samples of \(x\) stored in this sample collection, this function approximates the expected value of \(f(x)\) for some function \(f\) defined as a muq::Modeling::ModPiece. The output is a vector containing the expected value of \(f\).

Implements muq::SamplingAlgorithms::SampleEstimator.

Definition at line 211 of file DistributedCollection.cpp.

References GlobalExpectedValue().

◆ GlobalAt() [1/2]

std::shared_ptr< SamplingState > DistributedCollection::GlobalAt ( unsigned i )

Get the global state at the \(i^{th}\) index.

Parameters

[in] i The global index

Definition at line 32 of file DistributedCollection.cpp.

References comm, GlobalSize(), LocalAt(), LocalSize(), and size().

Referenced by at().

◆ GlobalAt() [2/2]

const std::shared_ptr< SamplingState > DistributedCollection::GlobalAt ( unsigned i ) const

Get the global state at the \(i^{th}\) index.

Parameters

[in] i The global index

Definition at line 54 of file DistributedCollection.cpp.

References comm, GlobalSize(), LocalAt(), LocalSize(), and size().

◆ GlobalCentralMoment()

Eigen::VectorXd DistributedCollection::GlobalCentralMoment	(	unsigned	order,
		int	blockDim = `-1`
	)		const

Computes the componentwise central moments (e.g., variance, skewness, kurtosis, etc..) of a specific order.

Parameters

[in]	order	The order of the central moment
[in]	blockDim	Compute the central moment of this block

Returns: The central moment using all of the samples

Definition at line 94 of file DistributedCollection.cpp.

References GlobalEigenMean(), and LocalCentralMoment().

Referenced by CentralMoment().

◆ GlobalCovariance()

Eigen::MatrixXd DistributedCollection::GlobalCovariance ( int blockDim = -1 ) const

Compute the covariance using all of the samples.

Parameters

[in] blockDim Compute the covariance of this block

Returns: The global covariance

Definition at line 112 of file DistributedCollection.cpp.

References GlobalEigenMean(), and LocalCovariance().

Referenced by Covariance().

◆ GlobalEigenMean()

template<class scalar , int rows, int cols, int options, int maxRows, int maxCols>

Eigen::Matrix<scalar, rows, cols, options, maxRows, maxCols> muq::SamplingAlgorithms::DistributedCollection::GlobalEigenMean ( Eigen::Matrix< scalar, rows, cols, options, maxRows, maxCols > const & local ) const

inlineprivate

Definition at line 257 of file DistributedCollection.h.

References comm.

Referenced by GlobalCentralMoment(), GlobalCovariance(), GlobalMean(), and GlobalVariance().

◆ GlobalESS()

Eigen::VectorXd DistributedCollection::GlobalESS ( int blockDim = -1 ) const

Compute the ESS using all of the samples.

Parameters

[in] blockDim Compute the ESS of this block

Returns: The global ESS

Definition at line 118 of file DistributedCollection.cpp.

References comm, and LocalESS().

Referenced by ESS().

◆ GlobalExpectedValue()

Eigen::VectorXd DistributedCollection::GlobalExpectedValue	(	std::shared_ptr< muq::Modeling::ModPiece > const &	f,
		std::vector< std::string > const &	metains = `std::vector<std::string>()`
	)		const

Definition at line 191 of file DistributedCollection.cpp.

References comm, and LocalExpectedValue().

Referenced by ExpectedValue().

◆ GlobalMean()

Eigen::VectorXd DistributedCollection::GlobalMean ( int blockDim = -1 ) const

Compute the mean using all of the samples.

Parameters

[in] blockDim Compute the mean of this block

Returns: The global mean

Definition at line 100 of file DistributedCollection.cpp.

References GlobalEigenMean(), and LocalMean().

Referenced by LocalCentralMoment(), LocalCovariance(), and Mean().

◆ GlobalSize()

unsigned int DistributedCollection::GlobalSize ( ) const

The total number of samples.

Returns: The sum of the number of samples stored on each processor

Definition at line 78 of file DistributedCollection.cpp.

References comm, LocalSize(), and size().

Referenced by AsGlobalMatrix(), GlobalAt(), GlobalWeights(), and size().

◆ GlobalVariance()

Eigen::VectorXd DistributedCollection::GlobalVariance ( int blockDim = -1 ) const

Compute the variance using all of the samples.

Parameters

[in] blockDim Compute the variance of this block

Returns: The global variance

Definition at line 106 of file DistributedCollection.cpp.

References GlobalEigenMean(), and LocalVariance().

Referenced by Variance().

◆ GlobalWeights()

Eigen::VectorXd DistributedCollection::GlobalWeights ( ) const

Return all of the weights as a vector.

Parameters

[in] blockDim Return the weights of this block

Returns: The weights

Definition at line 162 of file DistributedCollection.cpp.

References comm, GlobalSize(), LocalSize(), and LocalWeights().

Referenced by Weights().

◆ LocalAt() [1/2]

std::shared_ptr< SamplingState > DistributedCollection::LocalAt ( unsigned i )

Get the local state at the \(i^{th}\) index.

Parameters

[in] i The local index

Definition at line 22 of file DistributedCollection.cpp.

References collection, and size().

Referenced by GlobalAt().

◆ LocalAt() [2/2]

const std::shared_ptr< SamplingState > DistributedCollection::LocalAt ( unsigned i ) const

Get the local state at the \(i^{th}\) index.

Parameters

[in] i The local index

Definition at line 27 of file DistributedCollection.cpp.

References collection, and size().

◆ LocalCentralMoment()

Eigen::VectorXd DistributedCollection::LocalCentralMoment	(	unsigned	order,
		int	blockDim = `-1`
	)		const

Computes the componentwise central moments (e.g., variance, skewness, kurtosis, etc..) of a specific order.

Parameters

[in]	order	The order of the central moment
[in]	blockDim	Compute the central moment of this block

Returns: The central moment using only local samples

Definition at line 92 of file DistributedCollection.cpp.

References collection, and GlobalMean().

Referenced by GlobalCentralMoment().

◆ LocalCovariance()

Eigen::MatrixXd DistributedCollection::LocalCovariance ( int blockDim = -1 ) const

Compute the covariance using only local samples.

Parameters

[in] blockDim Compute the covariance of this block

Returns: The local covariance

Definition at line 110 of file DistributedCollection.cpp.

References collection, and GlobalMean().

Referenced by GlobalCovariance().

◆ LocalESS()

Eigen::VectorXd DistributedCollection::LocalESS ( int blockDim = -1 ) const

Compute the ESS using only local samples.

Parameters

[in] blockDim Compute the ESS of this block

Returns: The local ESS

Definition at line 116 of file DistributedCollection.cpp.

References collection.

Referenced by GlobalESS().

◆ LocalExpectedValue()

Eigen::VectorXd DistributedCollection::LocalExpectedValue	(	std::shared_ptr< muq::Modeling::ModPiece > const &	f,
		std::vector< std::string > const &	metains = `std::vector<std::string>()`
	)		const

Definition at line 207 of file DistributedCollection.cpp.

References collection.

Referenced by GlobalExpectedValue().

◆ LocalMean()

Eigen::VectorXd DistributedCollection::LocalMean ( int blockDim = -1 ) const

Compute the mean using only local samples.

Parameters

[in] blockDim Compute the mean of this block

Returns: The local mean

Definition at line 98 of file DistributedCollection.cpp.

References collection.

Referenced by GlobalMean().

◆ LocalSize()

unsigned int DistributedCollection::LocalSize ( ) const

The number of samples stored locally.

Returns: The number of samples stored on this processor

Definition at line 76 of file DistributedCollection.cpp.

References collection.

Referenced by AsGlobalMatrix(), GlobalAt(), GlobalSize(), and GlobalWeights().

◆ LocalVariance()

Eigen::VectorXd DistributedCollection::LocalVariance ( int blockDim = -1 ) const

Compute the variance using only local samples.

Parameters

[in] blockDim Compute the variance of this block

Returns: The local variance

Definition at line 104 of file DistributedCollection.cpp.

References collection.

Referenced by GlobalVariance().

◆ LocalWeights()

Eigen::VectorXd DistributedCollection::LocalWeights ( ) const

Return all of the weights on this processor as a vector.

Parameters

[in] blockDim Return the weights of this block

Returns: The weights

Definition at line 160 of file DistributedCollection.cpp.

References collection.

Referenced by GlobalWeights().

◆ Mean()

Eigen::VectorXd DistributedCollection::Mean ( int blockDim = -1 ) const

overridevirtual

Compute the mean using all of the samples.

Defaults to the global mean

Parameters

[in] blockDim Compute the mean of this block

Returns: The global mean

Reimplemented from muq::SamplingAlgorithms::SampleCollection.

Definition at line 102 of file DistributedCollection.cpp.

References GlobalMean().

◆ size()

unsigned int DistributedCollection::size ( ) const

overridevirtual

The total number of samples.

By default the size returns the global size.

Returns: The sum of the number of samples stored on each processor

Reimplemented from muq::SamplingAlgorithms::SampleCollection.

Definition at line 90 of file DistributedCollection.cpp.

References GlobalSize().

Referenced by GlobalAt(), GlobalSize(), and LocalAt().

◆ Variance()

Eigen::VectorXd DistributedCollection::Variance ( int blockDim = -1 ) const

overridevirtual

Compute the variance using all of the samples.

Defaults to using the global variance.

Parameters

[in] blockDim Compute the variance of this block

Returns: The global variance

Reimplemented from muq::SamplingAlgorithms::SampleEstimator.

Definition at line 108 of file DistributedCollection.cpp.

References GlobalVariance().

◆ Weights()

Eigen::VectorXd DistributedCollection::Weights ( ) const

overridevirtual

Return all of the weights as a vector.

Parameters

[in] blockDim Return the weights of this block

Returns: The weights

Reimplemented from muq::SamplingAlgorithms::SampleCollection.

Definition at line 183 of file DistributedCollection.cpp.

References GlobalWeights().

◆ WriteToFile()

void DistributedCollection::WriteToFile	(	std::string const &	filename,
		std::string const &	dataset = `"/"`
	)		const

overridevirtual

Writes the local samples to file

Parameters

[in]	filename	The name of the file
[in]	dataset	The name of the group within the file

Definition at line 187 of file DistributedCollection.cpp.

References collection.

Member Data Documentation

◆ collection

std::shared_ptr<SampleCollection> muq::SamplingAlgorithms::DistributedCollection::collection

private

The local sample collection (stored on this processor)

Definition at line 274 of file DistributedCollection.h.

Referenced by Add(), AsLocalMatrix(), LocalAt(), LocalCentralMoment(), LocalCovariance(), LocalESS(), LocalExpectedValue(), LocalMean(), LocalSize(), LocalVariance(), LocalWeights(), and WriteToFile().

◆ comm

std::shared_ptr<parcer::Communicator> muq::SamplingAlgorithms::DistributedCollection::comm

private

The communicator for this collection.

Definition at line 277 of file DistributedCollection.h.

Referenced by AsGlobalMatrix(), GlobalAt(), GlobalEigenMean(), GlobalESS(), GlobalExpectedValue(), GlobalSize(), and GlobalWeights().

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

doxygen_prep/MUQ/SamplingAlgorithms/DistributedCollection.h
doxygen_prep/modules/SamplingAlgorithms/src/DistributedCollection.cpp

Detailed Description

Public Member Functions

Additional Inherited Members

Constructor & Destructor Documentation

◆ DistributedCollection()

◆ ~DistributedCollection()

Member Function Documentation

◆ Add()

◆ AsGlobalMatrix()

◆ AsLocalMatrix()

◆ AsMatrix()

◆ at() [1/2]

◆ at() [2/2]

◆ CentralMoment()

◆ Covariance()

◆ ESS()

◆ ExpectedValue()

◆ GlobalAt() [1/2]

◆ GlobalAt() [2/2]

◆ GlobalCentralMoment()

◆ GlobalCovariance()

◆ GlobalEigenMean()

◆ GlobalESS()

◆ GlobalExpectedValue()

◆ GlobalMean()

◆ GlobalSize()

◆ GlobalVariance()

◆ GlobalWeights()

◆ LocalAt() [1/2]

◆ LocalAt() [2/2]

◆ LocalCentralMoment()

◆ LocalCovariance()

◆ LocalESS()

◆ LocalExpectedValue()

◆ LocalMean()

◆ LocalSize()

◆ LocalVariance()

◆ LocalWeights()

◆ Mean()

◆ size()

◆ Variance()

◆ Weights()

◆ WriteToFile()

Member Data Documentation

◆ collection

◆ comm