STK Namespace Reference

The namespace STK is the main domain space of the Statistical ToolKit project. More...

Namespaces
namespace	Algo
	The namespace Algo enclose all generic algorithms.
namespace	Arrays
	the namespace Arrays contain the enum and utilities method used by the containers classes.
namespace	Base
	the namespace Base contain all the internal stuff needed by the STK++ fundamental types.
namespace	Basis
	This namespace encloses all variables and constant specific to the function basis project.
namespace	blas
namespace	Chrono
	The namespace Chrono is an utility namespace for computing elapsed time during the execution of a program.
namespace	Classif
	This namespace encloses all variables and constant specific to the Classification project.
namespace	Clust
	The namespace Clust enclose all the enum and utilities functions needed by the Clustering project.
namespace	Const
	namespace enclosing the usual mathematical constants and the constant arrays or structures.
namespace	Csv
	The STK::Csv namespace contains the constants used in the DManager project when using csv files.
namespace	DManager
namespace	Funct
	The namespace Funct enclose all usual and special functions.
namespace	hidden
	The hidden namespace enclose the classes and methods which are used internally by the STK++ classes.
namespace	Import
	The import namespace contains the constants and global functions used in the DManager project when importing data in STK containers.
namespace	InOut
	This namespace encloses all variables and constant specific to the InOut project.
namespace	Kernel
	this is the namespace for the Kernels.
namespace	lapack
	namespace enclosing the wrappers of the lapack routines.
namespace	Law
	This is the namespace enclosing the classes handling the usual probabilities Laws.
namespace	Model
	namespace enclosing the enum and utilities functions of the StatModel project.
namespace	MultiLaw
	This is the namespace enclosing the classes handling the multivariate probabilities Laws.
namespace	Reduct
	This namespace encloses all variables and constant specific to the Reduct project.
namespace	Regress
	This namespace encloses all variables and constant specific to the Regress project.
namespace	Stat
	this is the namespace for the statistical treatment.

Classes
struct	AbsOp
	Template functor which compute the absolute value of a number. More...
struct	AcosOp
	Template functor which compute the arc cosine of a number. More...
class	AdditiveBSplineCoefficients
	Compute the regression splines coefficients of an additive model. More...
class	AdditiveBSplineRegression
	Compute an additive BSpline, multivalued, regression function using BSpline basis. More...
class	AdditiveBSplineRegressionPage
	In this Page, we manage the options for the computation of the Additive BSpline regression. More...
class	AICCriterion
	Derived class of Criterion for computing the AIC Criterion The AIC criteria is a penalization of the likelihood given by the formula. More...
class	AICMixtureCriterion
	Derived class of Criterion for computing the AIC Criterion The AIC criteria of a given model M is a penalization of the likelihood given by the formula. More...
struct	ApplyFunctor
	class allowing applying the functor Functor on a vector or row-vector More...
struct	ApplyFunctorByCol
	class allowing to apply the Functor Functor on each columns of an expression. More...
struct	ApplyFunctorByRow
	class allowing to apply the Functor Functor on each rows of an expression. More...
struct	ApplyVisitor
	class allowing to apply a visitor on a vector or a point. More...
struct	ApplyWeightedFunctor
	class allowing applying the weighted functor Functor on a vector or row-vector More...
struct	ApplyWeightedFunctorByCol
	class allowing to apply the weighted Functor Functor on each columns of an expression. More...
struct	ApplyWeightedFunctorByRow
	class allowing to apply the Functor Functor on each rows of an expression. More...
struct	Arithmetic
	Arithmetic properties of STK fundamental types. More...
struct	Arithmetic< Binary >
	Specialization for Binary. More...
struct	Arithmetic< Char >
	Specialization of the struct Arithmetic for Char. More...
struct	Arithmetic< Integer >
	Specialization for Integer (long). More...
struct	Arithmetic< Real >
	Specialization for Real. More...
struct	Arithmetic< Sign >
	Specialization for Sign. More...
struct	Arithmetic< String >
	Specialization for String. More...
struct	Arithmetic< TRange< Size_ > >
	Partial Specialization for TRange. More...
class	Array1D
	template one dimensional Arrays. More...
class	Array2D
	template two dimensional column (vertically) oriented Array. More...
class	Array2DDiagonal
	Derivation of the Array2DDiagonal class for square arrays of Real. More...
class	Array2DLowerTriangular
	Declaration of the lower triangular matrix class. More...
class	Array2DNumber
	template number Array. More...
class	Array2DPoint
	template one dimensional horizontal Array. More...
class	Array2DSquare
	Derivation of the Array2DSquare class for square arrays of Real. More...
class	Array2DUpperTriangular
	Declaration of the upper triangular matrix class. More...
class	Array2DVector
	template one dimensional horizontal Array. More...
class	ArrayBase
	base class for template arrays. More...
class	ArrayByArrayProduct
	Generic expression where a product operator is applied to two expressions. More...
class	ArrayByDiagonalProduct
	Generic expression where a product operator is applied to two expressions. More...
class	ArrayByVectorProduct
	Generic expression where a product operator is applied to two expressions. More...
class	ArrayInitializer
	Helper class used by the comma initializer operator. More...
struct	AsinOp
	Template functor which compute the arc sine of a number. More...
class	Bernoulli_pjParameters
	Structure encapsulating the parameters of a Joint Bernoulli model. More...
class	BernoulliModel
	A Bernoulli model, is a statistical model of the following form. More...
class	BICCriterion
	Derived class of Criterion for computing the BIC Criterion The Bic criteria is a penalization of the likelihood given by the formula. More...
class	BICMixtureCriterion
	Derived class of Criterion for computing the BIC Criterion The Bic criteria of a model M is a penalization of the likelihood given by the formula. More...
struct	BiDirectionalIterator
	BiDirectionalIterator allows to loop over the element of one dimensional list containers. More...
class	BinaryOperator
	Generic expression where a binary operator is applied to two expressions. More...
struct	BitwiseAndOp
	Template functor which compute the bitwise and of two numbers. More...
struct	BitwiseAndWithOp
	Template functor to compute the bitwise and with a fixed value. More...
struct	BitwiseOrOp
	Template functor which compute the bitwise or of two numbers. More...
struct	BitwiseOrWithOp
	Template functor to compute the bitwise or with a fixed value. More...
struct	BitwiseXorOp
	Template functor which compute the bitwise xor of two numbers. More...
struct	BitwiseXorWithOp
	Template functor to compute the bitwise xor with a fixed value. More...
class	BSplineCoefficients
	Compute the regression B-splines coefficients. More...
class	BSplineRegression
	Compute a BSpline, multi-valued, regression function using BSpline basis. More...
class	CAllocator
	Allocator for dense Array classes. More...
class	CAllocator< Type_, SizeRows_, UnknownSize, Orient_ >
	Specialized Allocator for the dense Arrays classes. More...
class	CAllocator< Type_, UnknownSize, SizeCols_, Orient_ >
	Specialized Allocator for the dense Arrays classes. More...
class	CAllocator< Type_, UnknownSize, UnknownSize, Orient_ >
	Specialized Allocator for the dense Arrays classes. More...
class	CAllocatorBase
	Base class for CAllocators. More...
class	CArray
	A CArray is a two dimensional array with a continuous storage like a C-array. More...
class	CArrayNumber
	specialization for the number case. More...
class	CArrayPoint
	declaration of the point case. More...
class	CArraySquare
	specialization for the square case. More...
class	CArrayVector
	specialization for the vector case. More...
struct	CastOp
	Template functor which cast a type to another type. More...
class	Categorical_pjk
	The diagonal Categorical mixture model Categorical_pjk is the most general diagonal Categorical model and has a probability function of the form. More...
class	Categorical_pk
	The diagonal Categorical mixture model Categorical_pk is a diagonal Categorical model and has a density function of the form. More...
class	CategoricalBase
	Base class for the Categorical models. More...
class	CategoricalBridge
	template implementation of the IMixtureBridge interface allowing to bridge a STK++ mixture with the composer. More...
class	CategoricalMixtureManager
	A mixture manager is a factory class for injection dependency in the STK++ derived class of the IMixtureComposer interface class. More...
class	Cell2D
	template class for the 2 Dimensional Cells. More...
class	CellBase
	template Base class for the Cell in a list . More...
class	CellHo
	template class for the Horizontal Cell of a Horizontal List. More...
class	CellVe
	template class for the Vertical Cell of a Vertical List. More...
class	CEMAlgo
	Implementation of the SEM algorithm. More...
class	CG
	The conjugate gradient method is an algorithm for the numerical solution of particular systems of linear equations, namely those whose matrix is symmetric and positive-definite. More...
class	ChebyshevCoefficients
	ChebyshevCoefficients class allows to compute the coefficients of a sampled function using Chebyshev polynomials. More...
class	ClassInit
	Initialization by simulating a realization of the class labels zi accordingly to the initial proportions. More...
class	ColAccessor
	Generic expression when the column of an expression is accessed. More...
class	ColOperator
	Generic expression when the column of an expression is accessed. More...
struct	ConstBiDirectionalIterator
	ConstBiDirectionalIterator allows to loop over the element of one dimensional list containers. More...
struct	ConstDenseRandomIterator
	ConstDenseRandomIterator allows to loop over the elements of containers Array. More...
class	CosinesCoefficients
	CosinesCoefficients allows to compute the coefficients of a sampled function using cosines basis functions. More...
struct	CosOp
	Template functor which compute the cosine of a number. More...
class	CsvToArray
	The CsvToArray class allow to export the data of some Type stored in a TReadWriteCsv in an Array. More...
struct	CubeOp
	Template functor which compute the cube of a number. More...
class	CvHandler
	CvHanler is an utility function for building the submatrix/subvectors needed when using k-folds cross-validation. More...
class	DataBridge
	bridge a data set in order to handle its missing values. More...
class	DataFrame
	DataFrame is a List of Variable with the same number of rows. More...
class	DataFrameToArray2D
	The DataFrameToArray2D class allow to export the data of some TYPE stored in a DataFrame to be exported in an Array2D. More...
class	DataHandler
	implementation of the DataHandlerBase class using ReadWriteCsv and Array2D. More...
class	DataHandlerBase
	A class derived from a DataHandlerBase allows to store various data sets identified by an idData and an idModel. More...
struct	DefaultFunctor
struct	DenseIteratorBase
	IteratorBase is a base class for all iterators on dense arrays/matrix/vector/expressions. More...
struct	DenseRandomIterator
	DenseRandomIterator allows to loop over the elements of containers Array. More...
struct	DiagGaussian_muj_sjParameters
	Structure encapsulating the parameters of a DiagGaussian_muj_sj model. More...
class	DiagGaussian_s
	The diagonal DiagGaussian_s mixture model hse a density function of the form. More...
class	DiagGaussian_sj
	The diagonal Gaussian mixture model DiagGaussian_sj have a density function of the form. More...
class	DiagGaussian_sjk
	The diagonal Gaussian mixture model DiagGaussian_sjk is the most general diagonal Gaussian model and have a density function of the form. More...
class	DiagGaussian_sjsk
	The diagonal Gaussian mixture model DiagGaussian_sjsk is an intermediate diagonal Gaussian model with density function of the form. More...
class	DiagGaussian_sk
	The diagonal Gaussian mixture model DiagGaussian_sk assumes an equal standard deviation in each cluster and has a density function of the form. More...
class	DiagGaussianBase
	Base class for the diagonal Gaussian models. More...
class	DiagGaussianBridge
	template implementation of the IMixture interface allowing to bridge a STK++ mixture with the composer. More...
class	DiagGaussianMixtureManager
	A mixture manager is a factory class for injection dependency in the STK++ derived class of the IMixtureComposer class. More...
class	DiagonalByArrayProduct
	Generic expression where a product operator is applied to two expressions. More...
class	DiagonalGetterAccessor
	Generic expression when we want to get the diagonal of a two-dimensional square expression. More...
class	DiagonalGetterOperator
	Generic expression when we want to get the diagonal of a two-dimensional square expression. More...
class	DiagonalizeAccessor
	Generic expression when a one dimensional vector/point/idagonal expression is "diagonalized". More...
class	DiagonalizeOperator
	Generic expression when a one dimensional vector/point/idagonal expression is "diagonalized". More...
struct	DifferenceOp
	Template functor which compute the difference of two numbers. More...
struct	DifferenceWithOp
	Template functor to add a number to a fixed value. More...
struct	DivisionOp
	Template functor which compute the division of two numbers. More...
struct	DivisionWithBaseOp
	base class for DivisionWithOp functors More...
struct	DivisionWithBaseOp< Type, false >
struct	DivisionWithBaseOp< Type, true >
struct	DivisionWithOp
	Template functor to divide a number by a fixed value. More...
class	domain_error
	Thrown by the library, or by you, to report domain errors (domain in the mathematical sense). More...
class	DotProduct
	Generic expression where a DotProduct is applied to two expressions. More...
class	EMAlgo
	Implementation of the EM algorithm. More...
class	EMPredict
	Implementation of the EMPredict algorithm. More...
struct	EqualOp
	Template functor testing if a number is equal to an other number. More...
struct	EqualWithOp
	Template functor to test if a number is equal to a fixed value. More...
class	Exception
	Sdk class for all library Exceptions. More...
struct	ExpOp
	Template functor which compute the exponential of a number. More...
class	ExportToCsv
	Export data to a Csv. More...
class	ExprBase
	base class for template evaluation expressions and visitors. More...
class	FullStrategy
	A FullStrategy is based on the following paradigm: More...
struct	FullStrategyParam
	helper structure encapsulating the parameters of the Full strategy More...
class	FuzzyInit
	Initialization by simulating the tik accordingly to the initial proportions. More...
class	Gamma_a_bjk
	Gamma_a_bjk is a mixture model of the following form. More...
class	Gamma_a_bk
	Gamma_a_bk is a mixture model of the following form. More...
class	Gamma_aj_bjk
	Gamma_aj_bjk is a mixture model of the following form. More...
class	Gamma_aj_bk
	Gamma_aj_bk is a mixture model of the following form. More...
class	Gamma_ajk_b
	Gamma_ajk_b is a mixture model of the following form. More...
class	Gamma_ajk_bj
	Gamma_ajk_bj is a mixture model of the following form. More...
class	Gamma_ajk_bjk
	Gamma_ajk_bjk is a mixture model of the following form. More...
class	Gamma_ajk_bk
	Gamma_ajk_bk is a mixture model of the following form. More...
class	Gamma_ak_b
	Gamma_ak_b is a mixture model of the following form. More...
class	Gamma_ak_bj
	Gamma_ak_bj is a mixture model of the following form. More...
class	Gamma_ak_bjk
	Gamma_ak_bjk is a mixture model of the following form. More...
class	Gamma_ak_bk
	Gamma_ak_bk is a mixture model of the following form. More...
class	GammaBase
	Base class for the gamma models. More...
class	GammaBridge
	template implementation of the IMixtureBridge interface allowing to bridge a STK++ mixture with the composer. More...
class	GammaMixtureManager
	A mixture manager is a factory class for injection dependency in the STK++ derived class of the MixtureComposer class. More...
class	GaussianAAModel
	Gaussian Auto-Associative models. More...
class	GaussianModel
	Compute the maximum likelihood estimates of a complete Gaussian statistical model. More...
struct	GeqOp
	Template functor testing if a number is greater or equal than an other number. More...
struct	GeqThanOp
	Template functor to test if a number is greater or equal than a fixed value. More...
struct	GreaterOp
	Template functor testing if a number is greater than an other number. More...
struct	GreaterThanOp
	Template functor to test if a number is greater than a fixed value. More...
class	HDGaussian_AjkBkQkD
	The diagonal Gaussian mixture model HDGaussian_AjkBkQkD is the most general HD Gaussian model and have a density function of the form. More...
class	HDGaussianBase
	Base class for the diagonal Gaussian models. More...
class	HDGaussianBridge
	template implementation of the IMixture interface allowing to bridge a STK++ mixture with the composer. More...
class	HDMatrixGaussianBridge
	template implementation of the IMixture interface allowing to bridge a STK++ mixture with the composer. More...
class	HDMatrixGaussianModel
	Main class for HD matrix valued matrix models. More...
struct	HDMatrixModelParameters
	structure storing the parameters of the HD matrix valued mixture More...
class	IAAModel
	@ More...
class	IArray1D
	template one dimensional Array. More...
class	IArray2D
	template interface base class for two-dimensional arrays. More...
class	IBasis
	Interface base class for all basis function. More...
class	ICArray
	s More...
class	IClassification
	Interface base class for Regression methods. More...
class	ICLMixtureCriterion
	Derived class of IMixtureCriterion for computing the ICL Criterion The ICL criteria of a model M is a penalization of the likelihood given by the formula. More...
class	IClusterModelBase
	Base class for clustering models. More...
class	IContainer2D
	Interface base class for 2D containers. More...
class	ICriterion
	Interface base class for the selection model criterion. More...
class	IDataBridge
	Interface class wrapping a data set. More...
class	IDataHandler
	A DataHandler class allow to store various data set identified with an idData (a string). More...
struct	IdTypeImpl
	Implementation of the return type. More...
struct	IdTypeImpl< Binary >
	Specialization of the IdTypeImpl for the Type Binary. More...
struct	IdTypeImpl< Char >
	Specialization of the IdTypeImpl for the Type Char. More...
struct	IdTypeImpl< Integer >
	Specialization of the IdTypeImpl for the type Integer. More...
struct	IdTypeImpl< Real >
	Specialization of the IdTypeImpl for the Type Real. More...
struct	IdTypeImpl< Sign >
	Specialization of the IdTypeImpl for the Type Sign. More...
struct	IdTypeImpl< String >
	Specialization of the IdTypeImpl for the Type String. More...
struct	IdTypeImpl< TRange< Size_ > >
	Partial Specialization of the IdTypeImpl for the Type TRange. More...
class	IFunction
	Interface base class for functions. More...
class	IGaussianModel
	Compute the the maximum likelihood estimates of a complete Gaussian statistical model. More...
class	ILeastSquare
	The class ILeastSquare is an interface class for the methods solving the least-square problem. More...
class	ILinearReduct
	A ILinearReduct is an interface base class for reduction method using linear reduction. More...
class	IMixture
	Interface base class for all the mixture models that will be processed by the composer. More...
class	IMixtureAlgo
	Interface base class for the algorithms. More...
class	IMixtureAlgoLearn
	Interface base class for the learning algorithms. More...
class	IMixtureAlgoPredict
	Interface base class for predicting algorithms. More...
class	IMixtureBridge
	Interface base class for the bridges of the STK++ mixture. More...
class	IMixtureComposer
	Base class for Mixture (composed) model. More...
class	IMixtureCriterion
	Interface base class for the selection model criterion. More...
class	IMixtureDensity
	Base class for all Mixture densities. More...
class	IMixtureInit
	Interface base class for the initializations. More...
class	IMixtureLearner
	Base class for Learner of a Mixture mixed model. More...
class	IMixtureManager
	Interface base class for mixture managers. More...
class	IMixtureModel
	Main interface class for mixture models. More...
class	IMixtureModelBase
	Base class for all Mixture model. More...
class	IMixtureStatModel
	Interface base class for Mixture (composed) model. More...
class	IMixtureStrategy
	Interface base class for all the strategies. More...
class	ImportFromCsv
	import data from a Csv File in a DataFrame. More...
class	ImputeAlgo
	Implementation of the ImputeAlgo learning algorithm. More...
class	IMultiParameters
	Interface base class for the parameters of a multivariate model. More...
class	IMultiStatModel
	Interface base class for all Multivariate Statistical Models. More...
class	InnerIteratorBase
	InnerIteratorBase is a base class for all iterators on allocators. More...
class	invalid_argument
	Thrown to report invalid arguments to functions. More...
struct	InverseOp
	Template functor which compute the inverse of a number. More...
class	InvertMatrix
	The InvertMatrix class is a functor class allowing to compute the inverse of a symmetric matrix. More...
class	IPage
	A IPage is an interface base class for reading and/or writing a page of option in a file. More...
class	IQr
	The class IQr is an interface class for the method computing the QR Decomposition of a ArrayXX. More...
class	IRecursiveTemplate
	Interface base class for all classes implementing the curious recursive template paradigm. More...
class	IReducer
	Interface base class for reducing methods. More...
class	IRegression
	Interface base class for Regression methods. More...
class	IRunnerBase
	Abstract base class for all classes having a. More...
class	IRunnerSupervised
	Abstract class for all classes making supervised learning. More...
class	IRunnerUnsupervised
	Abstract class for all classes making unsupervised learning. More...
class	IRunnerWithData
	Abstract class for all running class based on a data set. More...
class	ISerie
	Interface base class for Series. More...
struct	IsFiniteOp
	Template functor testing if a number is a finite value. More...
struct	IsInfiniteOp
	Template functor testing if a number is an infinite value. More...
struct	IsNaOp
	Template functor testing if a number is a NA value. More...
class	ISparseArray1D
	Interface class for SparseArray1D. More...
class	IStatModel
	Base class for all Statistical Models [Deprecated], have been replaced by IStatModel. More...
class	IStatModelBase
	Interface base class for all Statistical Models. More...
class	ISvd
	Compute the Singular Value Decomposition of an array. More...
class	ISymEigen
	The class ISymEigen is an interface class for the method computing the eigenvalue Decomposition of a symmetric ArrayXX. More...
class	ITContainer
	Specialized interface class for all arrays (can be either 2D arrays or 1D arrays). More...
class	ITContainer1D
	Interface base class for homogeneous 1D containers. More...
class	ITContainer2D
	Interface base class for homogeneous 2D containers like allocators. More...
class	ITContainer< Derived, Arrays::array2D_ >
	Specialization for array2D_. More...
class	ITContainer< Derived, Arrays::diagonal_ >
	Specialization for diagonal_. More...
class	ITContainer< Derived, Arrays::lower_symmetric_ >
	Specialization for lower_symmetric_. More...
class	ITContainer< Derived, Arrays::lower_triangular_ >
	Specialization for lower_triangular_. More...
class	ITContainer< Derived, Arrays::number_ >
	Specialization for number_. More...
class	ITContainer< Derived, Arrays::point_ >
	Specialization for point_. More...
class	ITContainer< Derived, Arrays::square_ >
class	ITContainer< Derived, Arrays::symmetric_ >
class	ITContainer< Derived, Arrays::upper_symmetric_ >
	Specialization for upper_symmetric_. More...
class	ITContainer< Derived, Arrays::upper_triangular_ >
	Specialization for upper_triangular_. More...
class	ITContainer< Derived, Arrays::vector_ >
	Specialization for vector_. More...
class	ITContainerBase
	Interface base class for 2D containers. More...
class	IUnivStatModel
	Base class for all Statistical Models. More...
class	IVariable
	IVariable is an Interface class for all Variables classes. More...
class	JointBernoulliModel
	A joint Bernoulli model is a statistical model of the form: following form. More...
class	JointBernoulliParameters
	Structure encapsulating the parameters of a Joint Bernoulli model. More...
class	JointGammaModel
	A joint Gamma model is a statistical model of the following form. More...
struct	JointGammaParameters
	Structure encapsulating the parameters of a Joint Gamma model. More...
class	JointGaussianModel
	A joint Gaussian model is a statistical model of the form: following form. More...
struct	JointGaussianParameters
	Structure encapsulating the parameters of a Joint Gaussian model. More...
class	KernelHandler
	implementation of the DataHandlerBase class for kernel mixture models. More...
class	KernelMixtureManager
	A mixture manager is a factory class for injection dependency in the STK++ derived class of the MixtureComposer class. More...
class	Kmm_s
	The Gaussian mixture model Kmm_s is an isotrope Gaussian mixture model on a kernel space. More...
class	Kmm_sk
	The Gaussian mixture model Kmm_sk is an isotrope Gaussian mixture model on a kernel space. More...
class	KmmBase
	Base class for the Gaussian Kernel Mixture Models. More...
class	KmmBridge
	template implementation of the IMixture interface allowing to bridge a STK++ kernel mixture with the composer. More...
class	LearnFacade
	facade design pattern. More...
class	length_error
	Thrown when an object is constructed that would exceed its maximum permitted size (e.g., a basic_String instance). More...
struct	LeqOp
	Template functor testing if a number is less or equal than an other number. More...
struct	LeqThanOp
	Template functor to test if a number is less or equal than a fixed value. More...
struct	LessOp
	Template functor testing if a number is less than an other number. More...
struct	LessThanOp
	Template functor to test if a number is less than a fixed value. More...
class	LinearAAModel
	A Linear AutoAssociative Model (LAAM) is a generalization of the PCA model for projecting variables on an affine plane of lower dimension. More...
class	List1D
	template One dimensional Horizontal List. More...
class	LocalVariance
	A LocalVariance is an implementation of the abstract ILinearReduct class. More...
class	LocalVariancePage
	In this Page, we manage the options for the computation of the LocalVariance. More...
class	logic_error
	Logic errors represent problems in the internal logic of a program; in theory, these are preventable, and even detectable before the program runs (e.g., violations of class invariants). More...
struct	LogicalAndOp
	Template functor which compute the logical and of two numbers. More...
struct	LogicalAndWithOp
	Template functor computing logical and with a fixed value. More...
struct	LogicalOrOp
	Template functor which compute the logical or of two numbers. More...
struct	LogicalOrWithOp
	Template functor computing logical and with a fixed value. More...
struct	LogOp
	Template functor which compute the logarithm of a number. More...
class	LowerSymmetrizeAccessor
	Generic expression when we want to get the lower-part of a two-dimensional symmetric expression. More...
class	LowerSymmetrizeOperator
	Generic expression when we want to get the lower-part of a two-dimensional symmetric expression. More...
class	LowerTriangularizeAccessor
	Generic expression when we want to get the lower-part of a two-dimensional expression. More...
class	LowerTriangularizeOperator
	Generic expression when we want to get the lower-part of a two-dimensional expression. More...
struct	MaxOp
	Template functor which compute the maximum of two numbers. More...
struct	MaxWithOp
	Template functor to compute the minimum with a fixed value. More...
struct	MemAllocator
	template base class for all Allocator classes. More...
class	MemSAllocator
	memory allocator for sparse Array classes. More...
class	MemSAllocator1D
	memory allocator for sparse vectors classes. More...
struct	MinOp
	Template functor which compute the minimum of two numbers. More...
struct	MinWithOp
	Template functor to compute the minimum between a fixed value. More...
class	MixtureComposer
	Main class for handling composed mixture models. More...
class	MixtureComposerFacade
	The MixtureComposerFacade allows to interact with a composer for estimating a mixture model with less effort. More...
class	MixtureComposerFixedProp
	specialization of the composer for the fixed proportion case. More...
class	MixtureLearner
	Main class for learning mixture models. More...
class	MixtureSemiLearner
	Base class for Learning a Mixture mixed model when some classes are known. More...
class	MixtureSemiLearnerFixedProp
	specialization of the composer for the fixed proportion case. More...
class	MLMixtureCriterion
	Derived class of Criterion for computing the Maximum Likelihood Criterion This criterion does not penalize the model and return minux two times the log likelihood of the model. More...
class	ModelBernoulli_pj
	A joint Bernoulli model is a statistical model of the form: following form. More...
class	ModelDiagGaussian_muj_sj
	A DiagGaussian_muj_sj model is a statistical model of the form: following form. More...
class	ModelGamma_aj_bj
	A joint Gamma model is a statistical model of the following form. More...
struct	ModelGamma_aj_bjParameters
	Structure encapsulating the parameters of a Joint Gamma model. More...
struct	ModelParameters
	struct storing the parameters of the mixture. More...
struct	ModelParameters< Clust::Categorical_pjk_ >
	Structure encapsulating the parameters of a Categorical_pjk model. More...
struct	ModelParameters< Clust::Categorical_pk_ >
	Structure encapsulating the parameters of a Categorical_pk model. More...
struct	ModelParameters< Clust::Gamma_a_bjk_ >
	Structure encapsulating the parameters of a Gamma_a_bjk_ mixture model. More...
struct	ModelParameters< Clust::Gamma_a_bk_ >
	Structure encapsulating the parameters of a Gamma_a_bk_ mixture model. More...
struct	ModelParameters< Clust::Gamma_aj_bjk_ >
	Structure encapsulating the parameters of a Gamma_aj_bjk_ mixture model. More...
struct	ModelParameters< Clust::Gamma_aj_bk_ >
	Structure encapsulating the parameters of a Gamma_aj_bk_ mixture model. More...
struct	ModelParameters< Clust::Gamma_ajk_b_ >
	Structure encapsulating the parameters of a Gamma_ajk_b_ mixture model. More...
struct	ModelParameters< Clust::Gamma_ajk_bj_ >
	Structure encapsulating the parameters of a Gamma_ajk_bj_ mixture model. More...
struct	ModelParameters< Clust::Gamma_ajk_bjk_ >
	Structure encapsulating the parameters of a Gamma_ajk_bjk_ mixture model. More...
struct	ModelParameters< Clust::Gamma_ajk_bk_ >
	Structure encapsulating the parameters of a Gamma_ajk_bk_ mixture model. More...
struct	ModelParameters< Clust::Gamma_ak_b_ >
	Structure encapsulating the parameters of a Gamma_ak_b_ mixture model. More...
struct	ModelParameters< Clust::Gamma_ak_bj_ >
	Structure encapsulating the parameters of a Gamma_ak_bj_ mixture model. More...
struct	ModelParameters< Clust::Gamma_ak_bjk_ >
	Structure encapsulating the parameters of a Gamma_ak_bjk_ mixture model. More...
struct	ModelParameters< Clust::Gamma_ak_bk_ >
	Structure encapsulating the parameters of a Gamma_ak_bk_ mixture model. More...
struct	ModelParameters< Clust::Gaussian_s_ >
	Structure encapsulating the parameters of a STK::DiagGaussian_s model. More...
struct	ModelParameters< Clust::Gaussian_sj_ >
	Structure encapsulating the parameters of a STK::DiagGaussian_sj model. More...
struct	ModelParameters< Clust::Gaussian_sjk_ >
	Structure encapsulating the parameters of a STK::DiagGaussian_sjk model. More...
struct	ModelParameters< Clust::Gaussian_sjsk_ >
	Structure encapsulating the parameters of a Gaussian_sjsk mixture model. More...
struct	ModelParameters< Clust::Gaussian_sk_ >
	Structure encapsulating the parameters of a STK::DiagGaussian_sk model. More...
struct	ModelParameters< Clust::HDGaussian_AjkBkQkD_ >
	Structure encapsulating the parameters of a MixturGaussian_sj model. More...
struct	ModelParameters< Clust::Kmm_s_ >
	Structure encapsulating the parameters of a Kmm_s model. More...
struct	ModelParameters< Clust::Kmm_sk_ >
	Structure encapsulating the parameters of a Kmm_sk model. More...
struct	ModelParameters< Clust::Poisson_ljk_ >
	Structure encapsulating the parameters of a Poisson_ljlk model. More...
struct	ModelParameters< Clust::Poisson_ljlk_ >
	Structure encapsulating the parameters of a Poisson_ljlk model. More...
struct	ModelParameters< Clust::Poisson_lk_ >
	Structure encapsulating the parameters of a Poisson_lk model. More...
struct	ModuloOp
	Template functor which compute the modulo of two numbers. More...
struct	ModuloWithOp
	Template functor to compute the minimum with a fixed value. More...
class	MultidimRegression
	The MultidimRegression class allows to regress a multidimensional output variable among a multivariate explanation variable. More...
class	MultiLeastSquare
	The class MultiLeastSQquare solve the least square problem when the response b is multidimensional. More...
struct	NegOp
	Template functor giving the not value. More...
struct	NotEqualOp
	Template functor testing if a number is not equal to an other number. More...
struct	NotEqualWithOp
	Template functor to test if a number is different than a fixed value. More...
struct	OppositeOp
	Template functor which compute the opposite of a number. More...
class	Option
	the Option class allow to store the value of an option from a IPage. More...
class	OrientedCAllocator
class	OrientedCAllocator< Derived, Arrays::by_col_ >
	Specialization for column-oriented Allocators. More...
class	OrientedCAllocator< Derived, Arrays::by_row_ >
	Specialization for row-oriented Allocators. More...
class	out_of_range
	This represents an argument whose value is not within the expected range (e.g., boundary checks in basic_String). More...
struct	ParametersGammaBase
	base class of the Gamma models Parameter Handler More...
class	PartitionHandler
	CvHanler is an utility function for building the submatrix/subvectors needed when creating learning and test data sets. More...
class	PCG
	In most cases, preconditioning is necessary to ensure fast convergence of the conjugate gradient method. More...
class	PointByArrayProduct
	Generic expression where a product operator is applied to two expressions. More...
class	Poisson_ljk
	The Poisson mixture model Poisson_ljk is the most general Poisson model and have a probability function of the form. More...
class	Poisson_ljlk
	The Poisson mixture model Poisson_ljlk is a Poisson model with a probability function of the form. More...
class	Poisson_lk
	The Poisson mixture model Poisson_lk has a probability function of the form. More...
class	PoissonBase
	Base class for the Poisson models. More...
class	PoissonBridge
	template implementation of the IMixtureBridge interface allowing to bridge a STK++ Poisson mixture with the composer. More...
class	PoissonMixtureManager
	A mixture manager is a factory class for injection dependency in the STK++ derived class of the MixtureComposer class. More...
struct	PowOp
	Template functor to raise a number to a power. More...
struct	ProductOp
	Template functor which compute the product of two numbers. More...
struct	ProductWithOp
	Template functor computing the product of a number by a fixed value. More...
struct	ProductWithOp< bool >
	Specialization for boolean. More...
class	ProjectedVariance
	A ProjectedVariance is an implementation of the abstract ILinearReduct interface. More...
class	Proxy
	The Proxy class allow to surdefine operators and methods for every kind of class without using dynamic_cast. More...
class	Proxy< String >
	Specialization of the Proxy class for String. More...
class	Qr
	The class Qr perform the QR decomposition of an ArrayXX. More...
class	RandBase
	class for the Base random generator. More...
class	RandomInit
	Implementation of the random initialization. More...
class	range_error
	Thrown to indicate range errors in internal computations. More...
class	RangeBase
	Base class for TRange class. More...
class	ReadWritePages
	The ReadWritePages class allow to handle a file of option containing pages. More...
class	RowAccessor
	Generic expression when the row of an expression is accessed. More...
class	RowOperator
	Generic expression when the row of an expression is accessed. More...
class	runtime_error
	Runtime errors represent problems outside the scope of a program; they cannot be easily predicted and can generally only be caught as the program executes. More...
struct	SafeInverseOp
	Template functor which compute safely the inverse of a number. More...
struct	SafeOp
	Template functor which return a default value if the value is NA. More...
class	SArray1D
	template one dimensional Arrays. More...
class	SArray2D
	template sparse two dimensional column (vertically) oriented Array. More...
class	SArray2DDiagonal
	Derivation of the SArray2DDiagonal class for square arrays of Real. More...
class	SArray2DLowerTriangular
	Declaration of the lower triangular matrix class. More...
class	SArray2DNumber
	template number Array. More...
class	SArray2DPoint
	template one dimensional horizontal Array. More...
class	SArray2DSquare
	Derivation of the SArray2DSquare class for square arrays of Real. More...
class	SArray2DUpperTriangular
	Declaration of the upper triangular matrix class. More...
class	SArray2DVector
	template one dimensional horizontal Array. More...
class	SEMAlgo
	Implementation of the SEM algorithm. More...
class	SemiSEMAlgo
	Implementation of the SemiSEM algorithm. More...
class	SemiSEMPredict
	Implementation of the SemiSEMPredict algorithm. More...
class	SimpleStrategy
	A SimpleStrategy is just nbTry long run. More...
struct	SimpleStrategyParam
	helper structure encapsulating the parameters of the simple strategy More...
class	SimulAlgo
	Implementation of the SimulAlgo learning algorithm. More...
class	SinesCoefficients
	SinesCoefficients class allows to compute the coefficients of a sampled function using sines basis functions. More...
struct	SinOp
	Template functor which compute the sine of a number. More...
struct	SparseIteratorBase
	IteratorBase is a base class for all iterators on dense arrays/matrix/vector/expressions. More...
struct	SqrtOp
	Template functor which compute the square root of a number. More...
struct	SquareOp
	Template functor which compute the square of a number. More...
struct	StaticAssert
struct	StaticAssert< false >
struct	StaticAssert< true >
class	StrategyFacade
	facade design pattern. More...
class	StructuredCAllocator
	Base class for the general by_col_ structured case. More...
class	StructuredCAllocator< Derived, 1, 1 >
	specialization for the number_ case. More...
class	StructuredCAllocator< Derived, 1, SizeCols_ >
	specialization for the point_ case (derived class is a RowVector). More...
class	StructuredCAllocator< Derived, SizeRows_, 1 >
	specialization for the vector_ case. More...
class	SubAccessor
	Generic expression when the sub-part of an expression is accessed. More...
class	SubOperator
	Generic expression when the sub-part of an expression is accessed. More...
struct	SubstractToOp
	Template functor to subtract a number to a fixed value. More...
class	SubVectorAccessor
class	SubVectorAccessorBase
class	SubVectorAccessorBase< Lhs, Size_, Arrays::diagonal_ >
class	SubVectorAccessorBase< Lhs, Size_, Arrays::point_ >
class	SubVectorAccessorBase< Lhs, Size_, Arrays::vector_ >
class	SubVectorOperator
	Generic expression when the sub-part of an expression is accessed (specialization for vectors) More...
class	SubVectorOperatorBase
	Specialization for point_. More...
class	SubVectorOperatorBase< Lhs, Size_, Arrays::diagonal_ >
class	SubVectorOperatorBase< Lhs, Size_, Arrays::point_ >
class	SubVectorOperatorBase< Lhs, Size_, Arrays::vector_ >
struct	SumOp
	Template functor which compute the sum of two numbers. More...
struct	SumWithOp
	Template functor to add a number to a fixed value. More...
class	Svd
	The class Svd compute the Singular Value Decomposition of a Array with the Golub-Reinsch Algorithm. More...
class	SymEigen
	The class SymEigen compute the eigenvalue Decomposition of a symmetric ArrayXX. More...
class	SymmetrizeAccessor
	Generic expression when we want to get the upper-part of a two-dimensional symmetric expression. More...
class	SymmetrizeOperator
	Generic expression when we want to get the upper-part of a two-dimensional symmetric expression. More...
struct	TanOp
	Template functor which compute the tan of a number. More...
struct	TestEndOfLineOp
	Template functor testing if a Char is an end of line. More...
class	TRange
	Index sub-vector region with fixed size. More...
class	TRange< UnknownSize >
	Index sub-vector region: Specialization when the size is unknown. More...
class	TransposeAccessor
	Generic expression when an expression is transposed. More...
class	TransposeOperator
	Generic expression when an expression is transposed. More...
class	TReadWriteCsv
	the TReadWriteCsv class : allow to write and/or to read a csv file. More...
struct	TRef
	Base class for all referencing containers. More...
struct	TRef< 0 >
struct	TRef< 1 >
struct	TRef<-1 >
class	TrigonometricCoefficients
	TrigonometricCoefficients class allows to compute the coefficients of a sampled function using sines and cosines basis functions. More...
class	UnaryOperator
	Generic expression when unary operator is applied to an expression. More...
class	UnaryOperatorBase
class	UpperSymmetrizeAccessor
	Generic expression when we want to get the upper-part of a two-dimensional symmetric expression. More...
class	UpperSymmetrizeOperator
	Generic expression when we want to get the upper-part of a two-dimensional symmetric expression. More...
class	UpperTriangularizeAccessor
	Generic expression when we want to get the upper-part of a two-dimensional expression. More...
class	UpperTriangularizeOperator
	Generic expression when we want to get the upper-part of a two-dimensional expression. More...
class	Variable
	Variable is an implementation of the Base class IVariable using The Array1D class for storing the data. More...
class	VectorByPointProduct
	Generic expression where a product operator is applied to two expressions. More...
class	VisitorByCol
	class allowing to apply a visitor on each columns of an expression. More...
class	VisitorByColBase
class	VisitorByRow
	class allowing to apply a visitor on each columns of an expression. More...
class	WeightedSvd
	This class perform a weighted svd decomposition. More...
class	XemStrategy
	A XemStrategy is based on the following paradigm: More...
struct	XemStrategyParam
	helper structure encapsulating the parameters of the Xem strategy More...

Typedefs
typedef TRange< panelSize_ >	panelRange
typedef TRange< blockSize_ >	blockRange
typedef Array2D< Real >	ArrayXX
	Specialization of the Array2D class for Real values.
typedef Array2D< double >	ArrayXXd
typedef Array2D< int >	ArrayXXi
typedef Array2DDiagonal< Real >	ArrayDiagonalX
typedef Array2DDiagonal< double >	ArrayDiagonalXd
typedef Array2DDiagonal< int >	ArrayDiagonalXi
typedef Array2DLowerTriangular< Real >	ArrayLowerTriangularXX
	Specialization of the Array2D class for lower triangular matrices.
typedef Array2DLowerTriangular< double >	ArrayLowerTriangularXXd
typedef Array2DLowerTriangular< int >	ArrayLowerTriangularXXi
typedef Array2DNumber< Real >	Number
	final class for a Real horizontal container.
typedef Array2DNumber< Real >	NumberX
typedef Array2DNumber< double >	NumberXd
typedef Array2DNumber< int >	NumberXi
typedef Array2DPoint< Real >	PointX
	final class for a Real horizontal container.
typedef Array2DPoint< double >	PointXd
typedef Array2DPoint< int >	PointXi
typedef Array2DSquare< Real >	ArraySquareX
typedef Array2DSquare< double >	ArraySquareXd
typedef Array2DSquare< int >	ArraySquareXi
typedef Array2DUpperTriangular< Real >	ArrayUpperTriangularXX
	Specialization of the Array2D class for Type values.
typedef Array2DUpperTriangular< double >	ArrayUpperTriangularXXd
typedef Array2DUpperTriangular< int >	ArrayUpperTriangularXXi
typedef Array2DVector< Real >	Vector
	final class for a Real vertical container.
typedef Array2DVector< Real >	VectorX
typedef Array2DVector< double >	VectorXd
typedef Array2DVector< int >	VectorXi
typedef CArray< Real, UnknownSize, UnknownSize, Arrays::by_col_ >	CArrayXX
typedef CArray< Real, UnknownSize, 2, Arrays::by_col_ >	CArrayX2
typedef CArray< Real, UnknownSize, 3, Arrays::by_col_ >	CArrayX3
typedef CArray< Real, 2, UnknownSize, Arrays::by_col_ >	CArray2X
typedef CArray< Real, 3, UnknownSize, Arrays::by_col_ >	CArray3X
typedef CArray< Real, 2, 2, Arrays::by_col_ >	CArray22
typedef CArray< Real, 3, 3, Arrays::by_col_ >	CArray33
typedef CArray< double, UnknownSize, UnknownSize, Arrays::by_col_ >	CArrayXXd
typedef CArray< double, UnknownSize, 2, Arrays::by_col_ >	CArrayX2d
typedef CArray< double, UnknownSize, 3, Arrays::by_col_ >	CArrayX3d
typedef CArray< double, 2, UnknownSize, Arrays::by_col_ >	CArray2Xd
typedef CArray< double, 3, UnknownSize, Arrays::by_col_ >	CArray3Xd
typedef CArray< double, 2, 2, Arrays::by_col_ >	CArray22d
typedef CArray< double, 3, 3, Arrays::by_col_ >	CArray33d
typedef CArray< int, UnknownSize, UnknownSize, Arrays::by_col_ >	CArrayXXi
typedef CArray< int, UnknownSize, 2, Arrays::by_col_ >	CArrayX2i
typedef CArray< int, UnknownSize, 3, Arrays::by_col_ >	CArrayX3i
typedef CArray< int, 2, UnknownSize, Arrays::by_col_ >	CArray2Xi
typedef CArray< int, 3, UnknownSize, Arrays::by_col_ >	CArray3Xi
typedef CArray< int, 2, 2, Arrays::by_col_ >	CArray22i
typedef CArray< int, 3, 3, Arrays::by_col_ >	CArray33i
typedef CArray< Real, UnknownSize, UnknownSize, Arrays::by_row_ >	CArrayByRowXX
typedef CArray< Real, UnknownSize, 2, Arrays::by_row_ >	CArrayByRowX2
typedef CArray< Real, UnknownSize, 3, Arrays::by_row_ >	CArrayByRowX3
typedef CArray< Real, 2, UnknownSize, Arrays::by_row_ >	CArrayByRow2X
typedef CArray< Real, 3, UnknownSize, Arrays::by_row_ >	CArrayByRow3X
typedef CArray< Real, 2, 2, Arrays::by_row_ >	CArrayByRow22
typedef CArray< Real, 3, 3, Arrays::by_row_ >	CArrayByRow33
typedef CArray< double, UnknownSize, UnknownSize, Arrays::by_row_ >	CArrayByRowXXd
typedef CArray< double, UnknownSize, 2, Arrays::by_row_ >	CArrayByRowX2d
typedef CArray< double, UnknownSize, 3, Arrays::by_row_ >	CArrayByRowX3d
typedef CArray< double, 2, UnknownSize, Arrays::by_row_ >	CArrayByRow2Xd
typedef CArray< double, 3, UnknownSize, Arrays::by_row_ >	CArrayByRow3Xd
typedef CArray< double, 2, 2, Arrays::by_row_ >	CArrayByRow22d
typedef CArray< double, 3, 3, Arrays::by_row_ >	CArrayByRow33d
typedef CArray< int, UnknownSize, UnknownSize, Arrays::by_row_ >	CArrayByRowXXi
typedef CArray< int, UnknownSize, 2, Arrays::by_row_ >	CArrayByRowX2i
typedef CArray< int, UnknownSize, 3, Arrays::by_row_ >	CArrayByRowX3i
typedef CArray< int, 2, UnknownSize, Arrays::by_row_ >	CArrayByRow2Xi
typedef CArray< int, 3, UnknownSize, Arrays::by_row_ >	CArrayByRow3Xi
typedef CArray< int, 2, 2, Arrays::by_row_ >	CArrayByRow22i
typedef CArray< int, 3, 3, Arrays::by_row_ >	CArrayByRow33i
typedef CArrayNumber< Real, Arrays::by_col_ >	CNumber
typedef CArrayNumber< double, Arrays::by_col_ >	CNumberd
typedef CArrayNumber< int, Arrays::by_col_ >	CNumberi
typedef CArrayNumber< Real, Arrays::by_row_ >	CNumberByRow
typedef CArrayNumber< double, Arrays::by_row_ >	CNumberByRowd
typedef CArrayNumber< int, Arrays::by_row_ >	CNumberByRowi
typedef CArrayPoint< Real, UnknownSize, Arrays::by_col_ >	CPointX
typedef CArrayPoint< Real, 2, Arrays::by_col_ >	CPoint2
typedef CArrayPoint< Real, 3, Arrays::by_col_ >	CPoint3
typedef CArrayPoint< double, UnknownSize, Arrays::by_col_ >	CPointXd
typedef CArrayPoint< double, 2, Arrays::by_col_ >	CPoint2d
typedef CArrayPoint< double, 3, Arrays::by_col_ >	CPoint3d
typedef CArrayPoint< int, UnknownSize, Arrays::by_col_ >	CPointXi
typedef CArrayPoint< int, 2, Arrays::by_col_ >	CPoint2i
typedef CArrayPoint< int, 3, Arrays::by_col_ >	CPoint3i
typedef CArrayPoint< Real, UnknownSize, Arrays::by_row_ >	CPointByRowX
typedef CArrayPoint< Real, 2, Arrays::by_row_ >	CPointByRow2
typedef CArrayPoint< Real, 3, Arrays::by_row_ >	CPointByRow3
typedef CArrayPoint< double, UnknownSize, Arrays::by_row_ >	CPointByRowXd
typedef CArrayPoint< double, 2, Arrays::by_row_ >	CPointByRow2d
typedef CArrayPoint< double, 3, Arrays::by_row_ >	CPointByRow3d
typedef CArrayPoint< int, UnknownSize, Arrays::by_row_ >	CPointByRowXi
typedef CArrayPoint< int, 2, Arrays::by_row_ >	CPointByRow2i
typedef CArrayPoint< int, 3, Arrays::by_row_ >	CPointByRow3i
typedef CArraySquare< Real, UnknownSize, Arrays::by_col_ >	CSquareX
typedef CArraySquare< Real, 2, Arrays::by_col_ >	CSquare2
typedef CArraySquare< Real, 3, Arrays::by_col_ >	CSquare3
typedef CArraySquare< double, UnknownSize, Arrays::by_col_ >	CSquareXd
typedef CArraySquare< double, 2, Arrays::by_col_ >	CSquare2d
typedef CArraySquare< double, 3, Arrays::by_col_ >	CSquare3d
typedef CArraySquare< int, UnknownSize, Arrays::by_col_ >	CSquareXi
typedef CArraySquare< int, 2, Arrays::by_col_ >	CSquare2i
typedef CArraySquare< int, 3, Arrays::by_col_ >	CSquare3i
typedef CArraySquare< Real, UnknownSize, Arrays::by_row_ >	CSquareByRowX
typedef CArraySquare< Real, 2, Arrays::by_row_ >	CSquareByRow2
typedef CArraySquare< Real, 3, Arrays::by_row_ >	CSquareByRow3
typedef CArraySquare< double, UnknownSize, Arrays::by_row_ >	CSquareByRowXd
typedef CArraySquare< double, 2, Arrays::by_row_ >	CSquareByRow2d
typedef CArraySquare< double, 3, Arrays::by_row_ >	CSquareByRow3d
typedef CArraySquare< int, UnknownSize, Arrays::by_row_ >	CSquareByRowXi
typedef CArraySquare< int, 2, Arrays::by_row_ >	CSquareByRow2i
typedef CArraySquare< int, 3, Arrays::by_row_ >	CSquareByRow3i
typedef CArrayVector< Real, UnknownSize, Arrays::by_col_ >	CVectorX
typedef CArrayVector< Real, 2, Arrays::by_col_ >	CVector2
typedef CArrayVector< Real, 3, Arrays::by_col_ >	CVector3
typedef CArrayVector< double, UnknownSize, Arrays::by_col_ >	CVectorXd
typedef CArrayVector< double, 2, Arrays::by_col_ >	CVector2d
typedef CArrayVector< double, 3, Arrays::by_col_ >	CVector3d
typedef CArrayVector< int, UnknownSize, Arrays::by_col_ >	CVectorXi
typedef CArrayVector< int, 2, Arrays::by_col_ >	CVector2i
typedef CArrayVector< int, 3, Arrays::by_col_ >	CVector3i
typedef CArrayVector< Real, UnknownSize, Arrays::by_row_ >	CVectorByRowX
typedef CArrayVector< Real, 2, Arrays::by_row_ >	CVectorByRow2
typedef CArrayVector< Real, 3, Arrays::by_row_ >	CVectorByRow3
typedef CArrayVector< double, UnknownSize, Arrays::by_row_ >	CVectorByRowXd
typedef CArrayVector< double, 2, Arrays::by_row_ >	CVectorByRow2d
typedef CArrayVector< double, 3, Arrays::by_row_ >	CVectorByRow3d
typedef CArrayVector< int, UnknownSize, Arrays::by_row_ >	CVectorByRowXi
typedef CArrayVector< int, 2, Arrays::by_row_ >	CVectorByRow2i
typedef CArrayVector< int, 3, Arrays::by_row_ >	CVectorByRow3i
typedef TRef<-1 >	IContainerRef
typedef SArray2D< Real >	SArrayXX
	Specialization of the SArray2D class for Real values.
typedef SArray2D< double >	SArrayXXd
typedef SArray2D< int >	SArrayXXi
typedef SArray2DDiagonal< Real >	SArrayDiagonalX
typedef SArray2DDiagonal< double >	SArrayDiagonalXd
typedef SArray2DDiagonal< int >	SArrayDiagonalXi
typedef SArray2DLowerTriangular< Real >	SArrayLowerTriangularXX
	Specialization of the SArray2D class for lower triangular matrices.
typedef SArray2DLowerTriangular< double >	SArrayLowerTriangularXXd
typedef SArray2DLowerTriangular< int >	SArrayLowerTriangularXXi
typedef SArray2DNumber< Real >	SNumberX
	final class for a Real horizontal container.
typedef SArray2DNumber< double >	SNumberXd
typedef SArray2DNumber< int >	SNumberXi
typedef SArray2DPoint< Real >	SPointX
	final class for a Real horizontal container.
typedef SArray2DPoint< double >	SPointXd
typedef SArray2DPoint< int >	SPointXi
typedef SArray2DSquare< Real >	SArraySquareX
typedef SArray2DSquare< double >	SArraySquareXd
typedef SArray2DSquare< int >	SArraySquareXi
typedef SArray2DUpperTriangular< Real >	SArrayUpperTriangularXX
	Specialization of the SArray2D class for Type values.
typedef SArray2DUpperTriangular< double >	SArrayUpperTriangularXXd
typedef SArray2DUpperTriangular< int >	SArrayUpperTriangularXXi
typedef SArray2DVector< Real >	SVectorX
	final class for a Real vertical container.
typedef SArray2DVector< double >	SVectorXd
typedef SArray2DVector< int >	SVectorXi
typedef Variable< String >	VariableString
typedef class TReadWriteCsv< String >	ReadWriteCsv
typedef char	Char
	STK fundamental type of a Char.
typedef std::basic_string< Char >	String
	STK fundamental type of a String.
typedef int	Integer
	STK fundamental type of integer values.
typedef double	Real
	STK fundamental type of Real values.
typedef TRange< UnknownSize >	Range
typedef std::basic_ios< Char >	ios
	ios for Char
typedef std::basic_streambuf< Char >	streambuf
	streambuf for Char
typedef std::basic_istream< Char >	istream
	istream for Char
typedef std::basic_ostream< Char >	ostream
	ostream for Char
typedef std::basic_iostream< Char >	iostream
	iostream for Char
typedef std::basic_stringbuf< Char >	stringbuf
	stringbuf for Char
typedef std::basic_istringstream< Char >	istringstream
	istringstream for Char
typedef std::basic_ostringstream< Char >	ostringstream
	ostringstream (ostringstream) for Char
typedef std::basic_stringstream< Char >	stringstream
	stringstream for Char
typedef std::basic_filebuf< Char >	filebuf
	filebuf for Char
typedef std::basic_ifstream< Char >	ifstream
	ifstream for Char
typedef std::basic_ofstream< Char >	ofstream
	ofstream for Char
typedef std::basic_fstream< Char >	fstream

Enumerations
enum	Binary { zero_ =0 , one_ =1 , binaryNA_ =INT_MIN }
	STK fundamental type of a binary. More...
enum	Sign { negative_ =-1 , positive_ = 1 , signNA_ = INT_MIN }
	STK fundamental type of a sign. More...

Functions
template<class Lhs >
bool	cholesky (ExprBase< Lhs > const &A, Array2DDiagonal< typename Lhs::Type > &D, Array2DLowerTriangular< typename Lhs::Type > &L)
	Compute the Cholesky decomposition of a symmetric matrix.
template<class Type >
Real	compGivens (Type const &y, Type const &z, Type &cosinus, Type &sinus)
	Compute Givens rotation.
template<class TContainer2D >
void	rightGivens (ArrayBase< TContainer2D > &M, int j1, int j2, typename TContainer2D::Type const &cosinus, typename TContainer2D::Type const &sinus)
	Apply Givens rotation.
template<class TContainer2D >
void	leftGivens (ArrayBase< TContainer2D > &M, int i1, int i2, typename TContainer2D::Type const &cosinus, typename TContainer2D::Type const &sinus)
	left multiplication by a Givens ArrayXX.
template<class TContainer2D >
void	gramSchmidt (ArrayBase< TContainer2D > &A)
	The gramSchmidt method perform the Gram Schmidt orthonormalization of an Array of Real.
template<class Vector >
Real	house (ArrayBase< Vector > &x)
	Compute the Householder vector v of a vector x.
template<class Lhs , class Rhs >
Real	dotHouse (ExprBase< Lhs > const &x, ExprBase< Rhs > const &v)
	dot product with a Householder vector.
template<class Lhs , class Rhs >
void	applyLeftHouseholderVector (ArrayBase< Lhs > const &M, ExprBase< Rhs > const &v)
	left multiplication by a Householder vector.
template<class Lhs , class Rhs >
void	applyLeftHouseholderArray (ArrayBase< Lhs > const &M, ArrayBase< Rhs > const &H)
	left multiplication by a Householder array.
template<class Lhs , class Rhs >
void	applyRightHouseholderVector (ArrayBase< Lhs > const &M, ExprBase< Rhs > const &v)
	right multiplication by a Householder vector.
template<class TContainer2D , class Rhs >
void	applyRightHouseholderArray (ArrayBase< TContainer2D > const &M, ArrayBase< Rhs > const &H)
	left multiplication by a Householder ArrayXX.
template<class Matrix >
hidden::AlgebraTraits< InvertMatrix< Matrix, hidden::Traits< Matrix >::sizeRows_ > >::Result	invert (Matrix const &mat)
	Utility function allowing to compute the inverse of a matrix.
template<class Array >
Real	bidiag (const Array &M, ArrayDiagonalX &D, VectorX &F)
	Computing the bidiagonalization of M.
template<class Array >
void	leftEliminate (ArrayDiagonalX &D, VectorX &F, int const &nrow, Array &U, bool withU, Real const &tol)
	left eliminate the element on the subdiagonal of the row nrow
template<class TContainer2D >
TContainer2D &	transpose (ArrayBase< TContainer2D > &A)
	The transpose method allow to transpose an array in place.
template<class Serie >
Real	sumAlternateSerie (const ISerie< Serie > &f, int const &n=0)
	Sum an alternating series using the Chebichev polynomials.
template<class Serie >
Real	sumSerie (const ISerie< Serie > &f, int const &iter_max=10)
	Sum a serie using the epsilon acceleration process.
template<class Seriea , class Serieb >
Real	continuedFraction (const ISerie< Seriea > &a, const ISerie< Serieb > &b, int const &iter_max=100)
	Evaluate a continued fraction.
template<typename Lhs , typename Rhs >
Arrays::SumOp< Lhs, Rhs >::result_type	sum (Lhs const &lhs, Rhs const &rhs)
	convenience function for summing two arrays
template<typename Lhs , typename Rhs >
Arrays::DifferenceOp< Lhs, Rhs >::result_type	difference (Lhs const &lhs, Rhs const &rhs)
	convenience function for differencing two arrays
template<typename Lhs , typename Rhs >
Arrays::Product< Lhs, Rhs >::result_type	product (Lhs const &lhs, Rhs const &rhs)
	convenience function for the product element by element of two arrays
template<typename Lhs , typename Rhs >
Arrays::DivOp< Lhs, Rhs >::result_type	div (Lhs const &lhs, Rhs const &rhs)
	convenience function for the division element by element of two arrays
template<typename Lhs , typename Rhs >
Arrays::MultOp< Lhs, Rhs >::result_type	mult (Lhs const &lhs, Rhs const &rhs)
	convenience function for the multiplication of two matrices
template<typename Lhs , typename Rhs , typename Weights >
Arrays::MultOp< Lhs, Rhs >::result_type	wmult (Lhs const &lhs, Rhs const &rhs, Weights const &weights)
	convenience function for the multiplication of two matrices
template<typename Lhs , typename Rhs >
Arrays::MultLeftTransposeOp< Lhs, Rhs >::result_type	multLeftTranspose (Lhs const &lhs, Rhs const &rhs)
	convenience function for the multiplication of two matrices
template<typename Lhs , typename Rhs , typename Weights >
Arrays::MultLeftTransposeOp< Lhs, Rhs >::result_type	wmultLeftTranspose (Lhs const &lhs, Rhs const &rhs, Weights const &weights)
	convenience function for the multiplication of two matrices
template<typename Lhs , typename Rhs >
Arrays::MultRightTransposeOp< Lhs, Rhs >::result_type	multRightTranspose (Lhs const &lhs, Rhs const &rhs)
	convenience function for the multiplication of two matrices
template<typename Lhs , typename Rhs , typename Weights >
Arrays::MultRightTransposeOp< Lhs, Rhs >::result_type	wmultRightTranspose (Lhs const &lhs, Rhs const &rhs, Weights const &weights)
	convenience function for the multiplication of two matrices
template<class Container1D1 , class Container1D2 >
Real	dot (ExprBase< Container1D1 > const &x, ExprBase< Container1D2 > const &y)
	Compute the dot product.
template<class Container1D1 , class Container1D2 , class Container1D3 >
Real	weightedDot (ExprBase< Container1D1 > const &x, ExprBase< Container1D2 > const &y, ExprBase< Container1D3 > const &w)
	Compute the dot product.
template<class Container1D1 , class Container1D2 >
Real	dist (ExprBase< Container1D1 > const &x, ExprBase< Container1D2 > const &y)
	Compute the distance between two vectors.
template<class Container1D1 , class Container1D2 , class Container1D3 >
Real	weightedDist (ExprBase< Container1D1 > const &x, ExprBase< Container1D2 > const &y, ExprBase< Container1D3 > const &w)
	Compute the weighted distance between two vectors.
template<typename Derived >
Array2DSquare< typename Derived::Type >	multLeftTranspose (ExprBase< Derived > const &A)
	Array multiplication by its transpose.
template<typename Derived >
Array2DSquare< typename Derived::Type >	multRightTranspose (ExprBase< Derived > const &A)
	Array multiplication by its transpose.
template<typename Derived , typename Weights >
Array2DSquare< typename Derived::Type >	weightedMultLeftTranspose (ExprBase< Derived > const &A, ExprBase< Weights > const &weights)
	Weighted matrix multiplication by its transpose.
template<typename Derived , typename Weights >
Array2DSquare< typename Derived::Type >	weightedMultRightTranspose (ExprBase< Derived > const &A, ExprBase< Weights > const &weights)
	weighted Array multiplication by its transpose
template<typename Type , int SizeRows_, int SizeCols_, bool Orient_>
ostream &	operator<< (ostream &s, const CAllocator< Type, SizeRows_, SizeCols_, Orient_ > &V)
	output stream for CAllocator.
template<class Array >
ostream &	out2D (ostream &os, ITContainer< Array > const &V)
	Method for displaying any two dimensional Array or Expression.
template<class Array >
ostream &	out1D (ostream &os, ITContainer1D< Array > const &V)
	Method for displaying any one dimensional Array.
template<class Array >
ostream &	operator<< (ostream &s, ITContainer< Array > const &V)
	overload of the << operator for all Arrays and Expressions.
template<class Type >
ostream &	operator<< (ostream &s, const ITContainer1D< Type > &V)
	overload of the << operator for all 1D containers.
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::MinVisitor, Arrays::by_col_ >::type_result	min (Derived const &A)
	If A is a row-vector or a column-vector then the function will return the usual minimal value of the vector.
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::MinVisitor, Arrays::by_col_ >::type_result	minByCol (Derived const &A)
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::MinVisitor, Arrays::by_row_ >::type_result	minByRow (Derived const &A)
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::MaxVisitor, Arrays::by_col_ >::type_result	max (Derived const &A)
	If A is a row-vector or a column-vector then the function will return the usual maximal value of the vector.
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::MaxVisitor, Arrays::by_col_ >::type_result	maxByCol (Derived const &A)
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::MaxVisitor, Arrays::by_row_ >::type_result	maxByRow (Derived const &A)
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::SumVisitor, Arrays::by_col_ >::type_result	sum (Derived const &A)
	If A is a row-vector or a column-vector then the function will return the usual sum value of the vector.
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::SumVisitor, Arrays::by_col_ >::type_result	sumByCol (Derived const &A)
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::SumVisitor, Arrays::by_row_ >::type_result	sumByRow (Derived const &A)
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::MeanVisitor, Arrays::by_col_ >::type_result	mean (Derived const &A)
	If A is a row-vector or a column-vector then the function will return the usual mean value of the vector.
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::MeanVisitor, Arrays::by_col_ >::type_result	meanByCol (Derived const &A)
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::MeanVisitor, Arrays::by_row_ >::type_result	meanByRow (Derived const &A)
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::CountVisitor, Arrays::by_col_ >::type_result	count (Derived const &A)
	If A is a row-vector or a column-vector then the function will return the usual count value of the vector.
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::CountVisitor, Arrays::by_col_ >::type_result	countByCol (Derived const &A)
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::CountVisitor, Arrays::by_row_ >::type_result	countByRow (Derived const &A)
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::AllVisitor, Arrays::by_col_ >::type_result	all (Derived const &A)
	If A is a row-vector or a column-vector then the function will return the usual all value of the vector.
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::AllVisitor, Arrays::by_col_ >::type_result	allByCol (Derived const &A)
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::AllVisitor, Arrays::by_row_ >::type_result	allByRow (Derived const &A)
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::AnyVisitor, Arrays::by_col_ >::type_result	any (Derived const &A)
	If A is a row-vector or a column-vector then the function will return the usual visitor value of the vector.
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::AnyVisitor, Arrays::by_col_ >::type_result	anyByCol (Derived const &A)
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::AnyVisitor, Arrays::by_row_ >::type_result	anyByRow (Derived const &A)
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::MinSafeVisitor, Arrays::by_col_ >::type_result	minSafe (Derived const &A)
	If A is a row-vector or a column-vector then the function will return the usual minimal value of the vector.
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::MinSafeVisitor, Arrays::by_col_ >::type_result	minSafeByCol (Derived const &A)
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::MinSafeVisitor, Arrays::by_row_ >::type_result	minSafeByRow (Derived const &A)
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::MaxSafeVisitor, Arrays::by_col_ >::type_result	maxSafe (Derived const &A)
	If A is a row-vector or a column-vector then the function will return the usual maximal value of the vector.
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::MaxSafeVisitor, Arrays::by_col_ >::type_result	maxSafeByCol (Derived const &A)
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::MaxSafeVisitor, Arrays::by_row_ >::type_result	maxSafeByRow (Derived const &A)
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::MeanSafeVisitor, Arrays::by_col_ >::type_result	meanSafe (Derived const &A)
	If A is a row-vector or a column-vector then the function will return the usual mean value of the vector.
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::MeanSafeVisitor, Arrays::by_col_ >::type_result	meanSafeByCol (Derived const &A)
template<class Derived >
hidden::SliceVisitorSelector< Derived, hidden::MeanSafeVisitor, Arrays::by_row_ >::type_result	meanSafeByRow (Derived const &A)
ostream &	operator<< (ostream &s, DataFrame const &V)
	Print a DataFrame.
template<class Vector >
void	heapSort (Vector &T)
	Sort the container T in ascending order.
template<class Vector >
void	heapSort (Vector const &T, Vector &Tsort)
	Sort the container T in ascending order and return the result in the container Tsort.
template<class Vector , class VectorInt >
void	heapSort (VectorInt &I, Vector const &T)
	Sort the container T in ascending order using index array.
template<class Vector , class VectorInt >
void	applySort1D (Vector &T, VectorInt const &I)
	Apply a sorting index array to the 1D container T.
template<class Array , class VectorInt >
void	applySort2D (Array &T, VectorInt const &I)
	Apply a sorting index array to the 2D container T row by row.
template<typename Type_ >
ostream &	operator<< (ostream &s, Variable< Type_ > const &V)
	ostream for Variable.
template<class Type >
bool	isNA (Type const &x)
	utility method allowing to know if a value is a NA (Not Available) value
template<class Type >
bool	isFinite (Type const &x)
	utility method allowing to know if a value is a finite value
template<class Type >
bool	isInfinite (Type const &x)
	utility method allowing to know if a value is an infinite value
template<class Vector >
Real	gaussianLnLikelihood (ExprBase< Vector > const &data, Real const &mu, Real const &sigma)
	Compute the gaussian log likehood of a one dimensionnal gaussian model.
ostream &	operator<< (ostream &os, Binary const &value)
	Overloading of the ostream << for the type Binary.
istream &	operator>> (istream &is, Binary &value)
	Overloading of the istream >> for the type Binary.
Binary	stringToBinary (String const &str)
	Convert a String to a Binary.
Binary	stringToBinary (String const &str, std::map< String, Binary > const &mapping)
	Convert a String to a Binary using a map.
String	binaryToString (Binary const &value, std::ios_base &(*f)(std::ios_base &)=std::dec)
	Convert a Binary to a String.
String	binaryToString (Binary const &value, std::map< Binary, String > const &mapping)
	Convert a Binary to a String.
template<>
Binary	stringToType< Binary > (String const &str)
	specialization for Binary
template<>
String	typeToString< Binary > (Binary const &t, std::ios_base &(*f)(std::ios_base &))
	specialization for Binary
Integer	stringToInt (String const &str)
	Convert a String to an Integer.
Integer	stringToInt (String const &str, std::map< String, Integer > const &mapping)
	Convert a String to an Integer using a map.
String	intToString (Integer const &value, std::ios_base &(*f)(std::ios_base &)=std::dec)
	Convert an Integer to a String.
String	intToString (Integer const &value, std::map< Integer, String > const &mapping)
	Convert an Integer to a String.
template<>
Integer	stringToType< Integer > (String const &s)
	specialization for Integer
template<>
String	typeToString< Integer > (Integer const &t, std::ios_base &(*f)(std::ios_base &))
	specialization for Integer
template<typename Type >
Type	sign (Type const &x, Type const &y=Type(1))
	template sign value sign(x) * y: Type should be an integral type
Real	frand ()
	frand() generate a Real uniform number.
bool	isOdd (int const &x)
	is x a odd number ?
bool	isEven (int const &x)
	is x an even number ?
Real	norm (Real const &x, Real const &y)
	Computation of sqrt(x^2 + y^2) without underflow or overflow.
template<int Size_>
ostream &	operator<< (ostream &os, TRange< Size_ > const &I)
	Write a TRange in the form first:last (MATLAB-like form) in an output stream.
istream &	operator>> (istream &is, Range &I)
template<int SizeI_, int SizeJ_>
Range	sup (TRange< SizeI_ > const &I, TRange< SizeJ_ > const &J)
	compute sup(I,J).
template<int SizeI_, int SizeJ_>
Range	inf (TRange< SizeI_ > const &I, TRange< SizeJ_ > const &J)
	compute inf(I,J).
template<int SizeI_>
Range	incFirst (TRange< SizeI_ > const &I)
	if I=a:b, return a+1:b
template<int SizeI_>
Range	incLast (TRange< SizeI_ > const &I)
	if I=a:b, return a:b+1
template<int SizeI_>
Range	decFirst (TRange< SizeI_ > const &I)
	if I=a:b, return a-1:b
template<int SizeI_>
Range	decLast (TRange< SizeI_ > const &I)
	if I=a:b, return a:b-1
Range	stringToRange (String const &str)
	Convert a String to a Range.
template<int Size_>
TRange< Size_ >	stringToRange (String const &str, std::map< String, TRange< Size_ > > const &mapping)
	Convert a String to a Range using a map.
template<int Size_>
String	rangeToString (TRange< Size_ > const &value, std::ios_base &(*f)(std::ios_base &)=std::dec)
	Convert an Range to a String.
template<int Size_>
String	rangeToString (TRange< Size_ > const &value, std::map< TRange< Size_ >, String > const &mapping)
	Convert a Range to a String.
template<>
String	typeToString< Range > (Range const &t, std::ios_base &(*f)(std::ios_base &))
	Specialization for Range.
Real	stringToReal (String const &str)
	Convert a String to a Real.
Real	stringToReal (String const &str, std::map< String, Real > const &mapping)
	Convert a String to a Real using a map.
String	realToString (Real const &value, std::ios_base &(*f)(std::ios_base &)=std::dec)
	Convert a Real to a String.
String	realToString (Real const &type, std::map< Real, String > const &mapping)
	Convert a real to a String.
template<>
Real	stringToType< Real > (String const &str)
	specialization for Real
template<>
String	typeToString< Real > (Real const &value, std::ios_base &(*f)(std::ios_base &))
	specialization for Real
ostream &	operator<< (ostream &os, const Sign &value)
	Overloading of the ostream << for the type Sign.
istream &	operator>> (istream &is, Sign &value)
	Overloading of the istream >> for the type Sign.
Sign	stringToSign (String const &str)
	Convert a String to a Sign.
Sign	stringToSign (String const &str, std::map< String, Sign > const &mapping)
	Convert a String to a Sign using a map.
String	signToString (Sign const &value, std::ios_base &(*f)(std::ios_base &)=std::dec)
	Convert a Sign to a String.
String	signToString (Sign const &value, std::map< Sign, String > mapping)
	Convert a Sign to a String.
template<>
Sign	stringToType< Sign > (String const &str)
	specialization for Sign
template<>
String	typeToString< Sign > (Sign const &t, std::ios_base &(*f)(std::ios_base &))
	specialization for Sign
void	setStringNa (String const &na)
	Set a new value to the na String representation and modify stringNaSize accordingly.
String const &	toUpperString (String &s)
	convert the characters of the String to upper case
String	toUpperString (String const &s)
	convert the characters of the String to upper case
String	removeWhiteSpaces (String const &s)
	convert the characters of the String to upper case
template<class Type >
bool	stringToType (Type &t, String const &s, std::ios_base &(*f)(std::ios_base &)=std::dec)
	convert a String to Type
template<class Type >
Type	stringToType (String const &s)
	convert a String to Type without error check
template<class Type >
String	typeToString (Type const &t, std::ios_base &(*f)(std::ios_base &)=std::dec)
	convert a Type to String

Variables
const int	blockSize_ = 4
const int	panelSize_ = 64
const int	panelTotal = 256
const int	vectorSize = 256
const int	baseIdx = 0
	base index of the containers created in STK++.
const int	maxFixedSize = 1024
	maximal size of fixed size containers This value is used when fixed size containers are automatically build in internal computation
const int	UnknownSize = INT_MAX
	This value means that an integer is not known at compile-time, and that instead the value is stored in some runtime variable.
const int	SqrtUnknownSize = (1 << (sizeof(int) * (CHAR_BIT/2)))
	Same as floor(sqrt(INT_MAX+1))
const int	MaxUnroll = 20
	When don't unroll loops on fixed size containers if fixed size is greater than this value.
const int	MaxUnrollSlice = 5
	This value means that when we unroll loops we go until MaxUnrollSlice.
String	stringNa = String(_T("."))
	Representation of a Not Available value.
int	stringNaSize = 1
	Size (in number of Char) of a Not Available value.

Detailed Description

The namespace STK is the main domain space of the Statistical ToolKit project.

All methods/functions/functors and classes are (and have to be) enclosed in this namespace.

Typedef Documentation

ArrayDiagonalX

typedef Array2DDiagonal<Real> STK::ArrayDiagonalX

Definition at line 50 of file STK_Array2DDiagonal.h.

ArrayDiagonalXd

typedef Array2DDiagonal<double> STK::ArrayDiagonalXd

Definition at line 51 of file STK_Array2DDiagonal.h.

ArrayDiagonalXi

typedef Array2DDiagonal<int> STK::ArrayDiagonalXi

Definition at line 52 of file STK_Array2DDiagonal.h.

ArrayLowerTriangularXXd

typedef Array2DLowerTriangular<double> STK::ArrayLowerTriangularXXd

Definition at line 58 of file STK_Array2DLowerTriangular.h.

ArrayLowerTriangularXXi

typedef Array2DLowerTriangular<int> STK::ArrayLowerTriangularXXi

Definition at line 59 of file STK_Array2DLowerTriangular.h.

ArraySquareX

typedef Array2DSquare<Real> STK::ArraySquareX

Definition at line 51 of file STK_Array2DSquare.h.

ArraySquareXd

typedef Array2DSquare<double> STK::ArraySquareXd

Definition at line 52 of file STK_Array2DSquare.h.

ArraySquareXi

typedef Array2DSquare<int> STK::ArraySquareXi

Definition at line 53 of file STK_Array2DSquare.h.

ArrayUpperTriangularXXd

typedef Array2DUpperTriangular<double> STK::ArrayUpperTriangularXXd

Definition at line 56 of file STK_Array2DUpperTriangular.h.

ArrayUpperTriangularXXi

typedef Array2DUpperTriangular<int> STK::ArrayUpperTriangularXXi

Definition at line 57 of file STK_Array2DUpperTriangular.h.

ArrayXXd

typedef Array2D<double> STK::ArrayXXd

Definition at line 54 of file STK_Array2D.h.

ArrayXXi

typedef Array2D<int> STK::ArrayXXi

Definition at line 55 of file STK_Array2D.h.

blockRange

typedef TRange<blockSize_> STK::blockRange

Definition at line 48 of file STK_ProductRaw.h.

CArray22

typedef CArray<Real, 2, 2, Arrays::by_col_> STK::CArray22

Definition at line 55 of file STK_CArray.h.

CArray22d

typedef CArray<double, 2, 2, Arrays::by_col_> STK::CArray22d

Definition at line 62 of file STK_CArray.h.

CArray22i

typedef CArray<int, 2, 2, Arrays::by_col_> STK::CArray22i

Definition at line 69 of file STK_CArray.h.

CArray2X

typedef CArray<Real, 2, UnknownSize, Arrays::by_col_> STK::CArray2X

Definition at line 53 of file STK_CArray.h.

CArray2Xd

typedef CArray<double, 2, UnknownSize, Arrays::by_col_> STK::CArray2Xd

Definition at line 60 of file STK_CArray.h.

CArray2Xi

typedef CArray<int, 2, UnknownSize, Arrays::by_col_> STK::CArray2Xi

Definition at line 67 of file STK_CArray.h.

CArray33

typedef CArray<Real, 3, 3, Arrays::by_col_> STK::CArray33

Definition at line 56 of file STK_CArray.h.

CArray33d

typedef CArray<double, 3, 3, Arrays::by_col_> STK::CArray33d

Definition at line 63 of file STK_CArray.h.

CArray33i

typedef CArray<int, 3, 3, Arrays::by_col_> STK::CArray33i

Definition at line 70 of file STK_CArray.h.

CArray3X

typedef CArray<Real, 3, UnknownSize, Arrays::by_col_> STK::CArray3X

Definition at line 54 of file STK_CArray.h.

CArray3Xd

typedef CArray<double, 3, UnknownSize, Arrays::by_col_> STK::CArray3Xd

Definition at line 61 of file STK_CArray.h.

CArray3Xi

typedef CArray<int, 3, UnknownSize, Arrays::by_col_> STK::CArray3Xi

Definition at line 68 of file STK_CArray.h.

CArrayByRow22

typedef CArray<Real, 2, 2, Arrays::by_row_> STK::CArrayByRow22

Definition at line 77 of file STK_CArray.h.

CArrayByRow22d

typedef CArray<double, 2, 2, Arrays::by_row_> STK::CArrayByRow22d

Definition at line 84 of file STK_CArray.h.

CArrayByRow22i

typedef CArray<int, 2, 2, Arrays::by_row_> STK::CArrayByRow22i

Definition at line 91 of file STK_CArray.h.

CArrayByRow2X

typedef CArray<Real, 2, UnknownSize, Arrays::by_row_> STK::CArrayByRow2X

Definition at line 75 of file STK_CArray.h.

CArrayByRow2Xd

typedef CArray<double, 2, UnknownSize, Arrays::by_row_> STK::CArrayByRow2Xd

Definition at line 82 of file STK_CArray.h.

CArrayByRow2Xi

typedef CArray<int, 2, UnknownSize, Arrays::by_row_> STK::CArrayByRow2Xi

Definition at line 89 of file STK_CArray.h.

CArrayByRow33

typedef CArray<Real, 3, 3, Arrays::by_row_> STK::CArrayByRow33

Definition at line 78 of file STK_CArray.h.

CArrayByRow33d

typedef CArray<double, 3, 3, Arrays::by_row_> STK::CArrayByRow33d

Definition at line 85 of file STK_CArray.h.

CArrayByRow33i

typedef CArray<int, 3, 3, Arrays::by_row_> STK::CArrayByRow33i

Definition at line 92 of file STK_CArray.h.

CArrayByRow3X

typedef CArray<Real, 3, UnknownSize, Arrays::by_row_> STK::CArrayByRow3X

Definition at line 76 of file STK_CArray.h.

CArrayByRow3Xd

typedef CArray<double, 3, UnknownSize, Arrays::by_row_> STK::CArrayByRow3Xd

Definition at line 83 of file STK_CArray.h.

CArrayByRow3Xi

typedef CArray<int, 3, UnknownSize, Arrays::by_row_> STK::CArrayByRow3Xi

Definition at line 90 of file STK_CArray.h.

CArrayByRowX2

typedef CArray<Real, UnknownSize, 2, Arrays::by_row_> STK::CArrayByRowX2

Definition at line 73 of file STK_CArray.h.

CArrayByRowX2d

typedef CArray<double, UnknownSize, 2, Arrays::by_row_> STK::CArrayByRowX2d

Definition at line 80 of file STK_CArray.h.

CArrayByRowX2i

typedef CArray<int, UnknownSize, 2, Arrays::by_row_> STK::CArrayByRowX2i

Definition at line 87 of file STK_CArray.h.

CArrayByRowX3

typedef CArray<Real, UnknownSize, 3, Arrays::by_row_> STK::CArrayByRowX3

Definition at line 74 of file STK_CArray.h.

CArrayByRowX3d

typedef CArray<double, UnknownSize, 3, Arrays::by_row_> STK::CArrayByRowX3d

Definition at line 81 of file STK_CArray.h.

CArrayByRowX3i

typedef CArray<int, UnknownSize, 3, Arrays::by_row_> STK::CArrayByRowX3i

Definition at line 88 of file STK_CArray.h.

CArrayByRowXX

typedef CArray<Real, UnknownSize, UnknownSize, Arrays::by_row_> STK::CArrayByRowXX

Definition at line 72 of file STK_CArray.h.

CArrayByRowXXd

typedef CArray<double, UnknownSize, UnknownSize, Arrays::by_row_> STK::CArrayByRowXXd

Definition at line 79 of file STK_CArray.h.

CArrayByRowXXi

typedef CArray<int, UnknownSize, UnknownSize, Arrays::by_row_> STK::CArrayByRowXXi

Definition at line 86 of file STK_CArray.h.

CArrayX2

typedef CArray<Real, UnknownSize, 2, Arrays::by_col_> STK::CArrayX2

Definition at line 51 of file STK_CArray.h.

CArrayX2d

typedef CArray<double, UnknownSize, 2, Arrays::by_col_> STK::CArrayX2d

Definition at line 58 of file STK_CArray.h.

CArrayX2i

typedef CArray<int, UnknownSize, 2, Arrays::by_col_> STK::CArrayX2i

Definition at line 65 of file STK_CArray.h.

CArrayX3

typedef CArray<Real, UnknownSize, 3, Arrays::by_col_> STK::CArrayX3

Definition at line 52 of file STK_CArray.h.

CArrayX3d

typedef CArray<double, UnknownSize, 3, Arrays::by_col_> STK::CArrayX3d

Definition at line 59 of file STK_CArray.h.

CArrayX3i

typedef CArray<int, UnknownSize, 3, Arrays::by_col_> STK::CArrayX3i

Definition at line 66 of file STK_CArray.h.

CArrayXX

typedef CArray<Real, UnknownSize, UnknownSize, Arrays::by_col_> STK::CArrayXX

Definition at line 50 of file STK_CArray.h.

CArrayXXd

typedef CArray<double, UnknownSize, UnknownSize, Arrays::by_col_> STK::CArrayXXd

Definition at line 57 of file STK_CArray.h.

CArrayXXi

typedef CArray<int, UnknownSize, UnknownSize, Arrays::by_col_> STK::CArrayXXi

Definition at line 64 of file STK_CArray.h.

CNumber

typedef CArrayNumber<Real, Arrays::by_col_> STK::CNumber

Definition at line 50 of file STK_CArrayNumber.h.

CNumberByRow

typedef CArrayNumber<Real, Arrays::by_row_> STK::CNumberByRow

Definition at line 54 of file STK_CArrayNumber.h.

CNumberByRowd

typedef CArrayNumber<double, Arrays::by_row_> STK::CNumberByRowd

Definition at line 55 of file STK_CArrayNumber.h.

CNumberByRowi

typedef CArrayNumber<int, Arrays::by_row_> STK::CNumberByRowi

Definition at line 56 of file STK_CArrayNumber.h.

CNumberd

typedef CArrayNumber<double, Arrays::by_col_> STK::CNumberd

Definition at line 51 of file STK_CArrayNumber.h.

CNumberi

typedef CArrayNumber<int, Arrays::by_col_> STK::CNumberi

Definition at line 52 of file STK_CArrayNumber.h.

CPoint2

typedef CArrayPoint<Real, 2, Arrays::by_col_> STK::CPoint2

Definition at line 52 of file STK_CArrayPoint.h.

CPoint2d

typedef CArrayPoint<double, 2, Arrays::by_col_> STK::CPoint2d

Definition at line 55 of file STK_CArrayPoint.h.

CPoint2i

typedef CArrayPoint<int, 2, Arrays::by_col_> STK::CPoint2i

Definition at line 58 of file STK_CArrayPoint.h.

CPoint3

typedef CArrayPoint<Real, 3, Arrays::by_col_> STK::CPoint3

Definition at line 53 of file STK_CArrayPoint.h.

CPoint3d

typedef CArrayPoint<double, 3, Arrays::by_col_> STK::CPoint3d

Definition at line 56 of file STK_CArrayPoint.h.

CPoint3i

typedef CArrayPoint<int, 3, Arrays::by_col_> STK::CPoint3i

Definition at line 59 of file STK_CArrayPoint.h.

CPointByRow2

typedef CArrayPoint<Real, 2, Arrays::by_row_> STK::CPointByRow2

Definition at line 62 of file STK_CArrayPoint.h.

CPointByRow2d

typedef CArrayPoint<double, 2, Arrays::by_row_> STK::CPointByRow2d

Definition at line 65 of file STK_CArrayPoint.h.

CPointByRow2i

typedef CArrayPoint<int, 2, Arrays::by_row_> STK::CPointByRow2i

Definition at line 68 of file STK_CArrayPoint.h.

CPointByRow3

typedef CArrayPoint<Real, 3, Arrays::by_row_> STK::CPointByRow3

Definition at line 63 of file STK_CArrayPoint.h.

CPointByRow3d

typedef CArrayPoint<double, 3, Arrays::by_row_> STK::CPointByRow3d

Definition at line 66 of file STK_CArrayPoint.h.

CPointByRow3i

typedef CArrayPoint<int, 3, Arrays::by_row_> STK::CPointByRow3i

Definition at line 69 of file STK_CArrayPoint.h.

CPointByRowX

typedef CArrayPoint<Real, UnknownSize, Arrays::by_row_> STK::CPointByRowX

Definition at line 61 of file STK_CArrayPoint.h.

CPointByRowXd

typedef CArrayPoint<double, UnknownSize, Arrays::by_row_> STK::CPointByRowXd

Definition at line 64 of file STK_CArrayPoint.h.

CPointByRowXi

typedef CArrayPoint<int, UnknownSize, Arrays::by_row_> STK::CPointByRowXi

Definition at line 67 of file STK_CArrayPoint.h.

CPointX

typedef CArrayPoint<Real, UnknownSize, Arrays::by_col_> STK::CPointX

Definition at line 51 of file STK_CArrayPoint.h.

CPointXd

typedef CArrayPoint<double, UnknownSize, Arrays::by_col_> STK::CPointXd

Definition at line 54 of file STK_CArrayPoint.h.

CPointXi

typedef CArrayPoint<int, UnknownSize, Arrays::by_col_> STK::CPointXi

Definition at line 57 of file STK_CArrayPoint.h.

CSquare2

typedef CArraySquare<Real, 2, Arrays::by_col_> STK::CSquare2

Definition at line 51 of file STK_CArraySquare.h.

CSquare2d

typedef CArraySquare<double, 2, Arrays::by_col_> STK::CSquare2d

Definition at line 54 of file STK_CArraySquare.h.

CSquare2i

typedef CArraySquare<int, 2, Arrays::by_col_> STK::CSquare2i

Definition at line 57 of file STK_CArraySquare.h.

CSquare3

typedef CArraySquare<Real, 3, Arrays::by_col_> STK::CSquare3

Definition at line 52 of file STK_CArraySquare.h.

CSquare3d

typedef CArraySquare<double, 3, Arrays::by_col_> STK::CSquare3d

Definition at line 55 of file STK_CArraySquare.h.

CSquare3i

typedef CArraySquare<int, 3, Arrays::by_col_> STK::CSquare3i

Definition at line 58 of file STK_CArraySquare.h.

CSquareByRow2

typedef CArraySquare<Real, 2, Arrays::by_row_> STK::CSquareByRow2

Definition at line 61 of file STK_CArraySquare.h.

CSquareByRow2d

typedef CArraySquare<double, 2, Arrays::by_row_> STK::CSquareByRow2d

Definition at line 64 of file STK_CArraySquare.h.

CSquareByRow2i

typedef CArraySquare<int, 2, Arrays::by_row_> STK::CSquareByRow2i

Definition at line 67 of file STK_CArraySquare.h.

CSquareByRow3

typedef CArraySquare<Real, 3, Arrays::by_row_> STK::CSquareByRow3

Definition at line 62 of file STK_CArraySquare.h.

CSquareByRow3d

typedef CArraySquare<double, 3, Arrays::by_row_> STK::CSquareByRow3d

Definition at line 65 of file STK_CArraySquare.h.

CSquareByRow3i

typedef CArraySquare<int, 3, Arrays::by_row_> STK::CSquareByRow3i

Definition at line 68 of file STK_CArraySquare.h.

CSquareByRowX

typedef CArraySquare<Real, UnknownSize, Arrays::by_row_> STK::CSquareByRowX

Definition at line 60 of file STK_CArraySquare.h.

CSquareByRowXd

typedef CArraySquare<double, UnknownSize, Arrays::by_row_> STK::CSquareByRowXd

Definition at line 63 of file STK_CArraySquare.h.

CSquareByRowXi

typedef CArraySquare<int, UnknownSize, Arrays::by_row_> STK::CSquareByRowXi

Definition at line 66 of file STK_CArraySquare.h.

CSquareX

typedef CArraySquare<Real, UnknownSize, Arrays::by_col_> STK::CSquareX

Definition at line 50 of file STK_CArraySquare.h.

CSquareXd

typedef CArraySquare<double, UnknownSize, Arrays::by_col_> STK::CSquareXd

Definition at line 53 of file STK_CArraySquare.h.

CSquareXi

typedef CArraySquare<int, UnknownSize, Arrays::by_col_> STK::CSquareXi

Definition at line 56 of file STK_CArraySquare.h.

CVector2

typedef CArrayVector<Real, 2, Arrays::by_col_> STK::CVector2

Definition at line 48 of file STK_CArrayVector.h.

CVector2d

typedef CArrayVector<double, 2, Arrays::by_col_> STK::CVector2d

Definition at line 51 of file STK_CArrayVector.h.

CVector2i

typedef CArrayVector<int, 2, Arrays::by_col_> STK::CVector2i

Definition at line 54 of file STK_CArrayVector.h.

CVector3

typedef CArrayVector<Real, 3, Arrays::by_col_> STK::CVector3

Definition at line 49 of file STK_CArrayVector.h.

CVector3d

typedef CArrayVector<double, 3, Arrays::by_col_> STK::CVector3d

Definition at line 52 of file STK_CArrayVector.h.

CVector3i

typedef CArrayVector<int, 3, Arrays::by_col_> STK::CVector3i

Definition at line 55 of file STK_CArrayVector.h.

CVectorByRow2

typedef CArrayVector<Real, 2, Arrays::by_row_> STK::CVectorByRow2

Definition at line 58 of file STK_CArrayVector.h.

CVectorByRow2d

typedef CArrayVector<double, 2, Arrays::by_row_> STK::CVectorByRow2d

Definition at line 61 of file STK_CArrayVector.h.

CVectorByRow2i

typedef CArrayVector<int, 2, Arrays::by_row_> STK::CVectorByRow2i

Definition at line 64 of file STK_CArrayVector.h.

CVectorByRow3

typedef CArrayVector<Real, 3, Arrays::by_row_> STK::CVectorByRow3

Definition at line 59 of file STK_CArrayVector.h.

CVectorByRow3d

typedef CArrayVector<double, 3, Arrays::by_row_> STK::CVectorByRow3d

Definition at line 62 of file STK_CArrayVector.h.

CVectorByRow3i

typedef CArrayVector<int, 3, Arrays::by_row_> STK::CVectorByRow3i

Definition at line 65 of file STK_CArrayVector.h.

CVectorByRowX

typedef CArrayVector<Real, UnknownSize, Arrays::by_row_> STK::CVectorByRowX

Definition at line 57 of file STK_CArrayVector.h.

CVectorByRowXd

typedef CArrayVector<double, UnknownSize, Arrays::by_row_> STK::CVectorByRowXd

Definition at line 60 of file STK_CArrayVector.h.

CVectorByRowXi

typedef CArrayVector<int, UnknownSize, Arrays::by_row_> STK::CVectorByRowXi

Definition at line 63 of file STK_CArrayVector.h.

CVectorX

typedef CArrayVector<Real, UnknownSize, Arrays::by_col_> STK::CVectorX

Definition at line 47 of file STK_CArrayVector.h.

CVectorXd

typedef CArrayVector<double, UnknownSize, Arrays::by_col_> STK::CVectorXd

Definition at line 50 of file STK_CArrayVector.h.

CVectorXi

typedef CArrayVector<int, UnknownSize, Arrays::by_col_> STK::CVectorXi

Definition at line 53 of file STK_CArrayVector.h.

NumberX

typedef Array2DNumber<Real> STK::NumberX

Definition at line 53 of file STK_Array2DNumber.h.

NumberXd

typedef Array2DNumber<double> STK::NumberXd

Definition at line 54 of file STK_Array2DNumber.h.

NumberXi

typedef Array2DNumber<int> STK::NumberXi

Definition at line 55 of file STK_Array2DNumber.h.

panelRange

typedef TRange<panelSize_> STK::panelRange

Definition at line 47 of file STK_ProductRaw.h.

PointXd

typedef Array2DPoint<double> STK::PointXd

Definition at line 54 of file STK_Array2DPoint.h.

PointXi

typedef Array2DPoint<int> STK::PointXi

Definition at line 55 of file STK_Array2DPoint.h.

Range

typedef TRange<UnknownSize> STK::Range

Definition at line 59 of file STK_Range.h.

ReadWriteCsv

typedef class TReadWriteCsv< String > STK::ReadWriteCsv

Definition at line 51 of file STK_ReadWriteCsv.h.

SArrayDiagonalX

typedef SArray2DDiagonal<Real> STK::SArrayDiagonalX

Definition at line 52 of file STK_SArray2DDiagonal.h.

SArrayDiagonalXd

typedef SArray2DDiagonal<double> STK::SArrayDiagonalXd

Definition at line 53 of file STK_SArray2DDiagonal.h.

SArrayDiagonalXi

typedef SArray2DDiagonal<int> STK::SArrayDiagonalXi

Definition at line 54 of file STK_SArray2DDiagonal.h.

SArrayLowerTriangularXXd

typedef SArray2DLowerTriangular<double> STK::SArrayLowerTriangularXXd

Definition at line 60 of file STK_SArray2DLowerTriangular.h.

SArrayLowerTriangularXXi

typedef SArray2DLowerTriangular<int> STK::SArrayLowerTriangularXXi

Definition at line 61 of file STK_SArray2DLowerTriangular.h.

SArraySquareX

typedef SArray2DSquare<Real> STK::SArraySquareX

Definition at line 53 of file STK_SArray2DSquare.h.

SArraySquareXd

typedef SArray2DSquare<double> STK::SArraySquareXd

Definition at line 54 of file STK_SArray2DSquare.h.

SArraySquareXi

typedef SArray2DSquare<int> STK::SArraySquareXi

Definition at line 55 of file STK_SArray2DSquare.h.

SArrayUpperTriangularXXd

typedef SArray2DUpperTriangular<double> STK::SArrayUpperTriangularXXd

Definition at line 58 of file STK_SArray2DUpperTriangular.h.

SArrayUpperTriangularXXi

typedef SArray2DUpperTriangular<int> STK::SArrayUpperTriangularXXi

Definition at line 59 of file STK_SArray2DUpperTriangular.h.

SArrayXXd

typedef SArray2D<double> STK::SArrayXXd

Definition at line 56 of file STK_SArray2D.h.

SArrayXXi

typedef SArray2D<int> STK::SArrayXXi

Definition at line 57 of file STK_SArray2D.h.

SNumberXd

typedef SArray2DNumber<double> STK::SNumberXd

Definition at line 55 of file STK_SArray2DNumber.h.

SNumberXi

typedef SArray2DNumber<int> STK::SNumberXi

Definition at line 56 of file STK_SArray2DNumber.h.

SPointXd

typedef SArray2DPoint<double> STK::SPointXd

Definition at line 56 of file STK_SArray2DPoint.h.

SPointXi

typedef SArray2DPoint<int> STK::SPointXi

Definition at line 57 of file STK_SArray2DPoint.h.

SVectorXd

typedef SArray2DVector<double> STK::SVectorXd

Definition at line 61 of file STK_SArray2DVector.h.

SVectorXi

typedef SArray2DVector<int> STK::SVectorXi

Definition at line 62 of file STK_SArray2DVector.h.

VariableString

typedef Variable<String> STK::VariableString

Definition at line 47 of file STK_IVariable.h.

VectorX

typedef Array2DVector<Real> STK::VectorX

Definition at line 59 of file STK_Array2DVector.h.

VectorXd

typedef Array2DVector<double> STK::VectorXd

Definition at line 60 of file STK_Array2DVector.h.

VectorXi

typedef Array2DVector<int> STK::VectorXi

Definition at line 61 of file STK_Array2DVector.h.

Function Documentation

allByCol()

template<class Derived >

hidden::SliceVisitorSelector< Derived, hidden::AllVisitor, Arrays::by_col_ >::type_result STK::allByCol

(

Derived const &

A

)

Definition at line 377 of file STK_SlicingVisitors.h.

allByRow()

template<class Derived >

hidden::SliceVisitorSelector< Derived, hidden::AllVisitor, Arrays::by_row_ >::type_result STK::allByRow

(

Derived const &

A

)

Definition at line 377 of file STK_SlicingVisitors.h.

anyByCol()

template<class Derived >

hidden::SliceVisitorSelector< Derived, hidden::AnyVisitor, Arrays::by_col_ >::type_result STK::anyByCol

(

Derived const &

A

)

Definition at line 385 of file STK_SlicingVisitors.h.

anyByRow()

template<class Derived >

hidden::SliceVisitorSelector< Derived, hidden::AnyVisitor, Arrays::by_row_ >::type_result STK::anyByRow

(

Derived const &

A

)

Definition at line 385 of file STK_SlicingVisitors.h.

bidiag()

template<class Array >

Real STK::bidiag	(	const Array &	M,
		ArrayDiagonalX &	D,
		VectorX &	F
	)

Computing the bidiagonalization of M.

The diagonal and the subdiagonal are stored in D and F

Parameters

M	the matrix to bi-diagonalize, the matrix is overwritten with the left and right Householder vectors. The method return the estimate of the inf norm of M.
D	the element of the diagonal
F	the element of the surdiagnal

Definition at line 270 of file STK_Svd.h.

{
  typedef typename hidden::Traits<Array>::Col ColVector;
  typedef typename hidden::Traits<Array>::Row RowVector;
  // norm of the matrix M
  Real norm  = 0.0;
  // compute the number of iteration
  int begin_iter = M.beginCols();
  int last_iter  = M.beginCols() + std::min(M.sizeCols(), M.sizeRows()) -1;
  // Diagonal values
  D.resize(Range(begin_iter, last_iter, 0));
  // Upper diagonal values
  F.resize(Range(begin_iter-1, last_iter, 0));
  F.front() = 0.0;
  // Bidiagonalization of M
  // loop on the cols and rows
  Range rowRange0(M.rows())
      , rowRange1(Range(M.beginRows()+1, M.lastIdxRows(), 0))
      , colRange1(Range(M.beginCols()+1, M.lastIdxCols(), 0));
  for ( int iter=begin_iter ; iter<=last_iter
      ; iter++
      , rowRange0.incFirst(1)
      , rowRange1.incFirst(1)
      , colRange1.incFirst(1)
      )
  {
    // reference on the current column iter
    ColVector X( M, rowRange0, iter);
    // Left Householder
    D[iter] = house(X);
    // apply Householder to next cols
    applyLeftHouseholderVector(M.col(colRange1), X);
    // check if there is a row
    if ((iter < last_iter)||(M.sizeCols()>M.sizeRows()))
    {
      // ref on the current row iter
      RowVector P(M, colRange1, iter);
      // Right Householder
      F[iter] = house(P);
      // apply Householder to next rows
      applyRightHouseholderVector(M.row(rowRange1), P);
    }
    else
      F[iter] = 0.0;
    // Estimation of the norm of M
    norm = std::max(std::abs(D[iter])+std::abs(F[iter]), norm);
  }
  // return estimated norm
  return norm;
}

References applyLeftHouseholderVector(), applyRightHouseholderVector(), house(), norm(), and STK::IArray2D< Derived >::resize().

countByCol()

template<class Derived >

hidden::SliceVisitorSelector< Derived, hidden::CountVisitor, Arrays::by_col_ >::type_result STK::countByCol

(

Derived const &

A

)

Definition at line 369 of file STK_SlicingVisitors.h.

countByRow()

template<class Derived >

hidden::SliceVisitorSelector< Derived, hidden::CountVisitor, Arrays::by_row_ >::type_result STK::countByRow

(

Derived const &

A

)

Definition at line 369 of file STK_SlicingVisitors.h.

Referenced by main().

gaussianLnLikelihood()

template<class Vector >

Real STK::gaussianLnLikelihood	(	ExprBase< Vector > const &	data,
		Real const &	mu,
		Real const &	sigma
	)

Compute the gaussian log likehood of a one dimensionnal gaussian model.

Parameters

data	the data set
mu,sigma	the mean and varaince of the gaussian law

Returns

the log-likelihood

Definition at line 74 of file STK_IGaussianModel.h.

{
  if (sigma)
  {
    Real scale = 0., std = std::sqrt((double)sigma);
    // compute scale
    scale = ((data-mu)/std).maxElt();
    Real sum = 0;
    if (scale)
    { sum = (((data-mu)/std)/scale).norm2();}
    return - ( 0.5*sum*scale*scale
             + data.size() * (std::log((double)std) + Const::_LNSQRT2PI_)
             );
  }
  // 0 variance
  return -STK::Arithmetic<Real>::infinity();
}

References sum().

leftEliminate()

template<class Array >

void STK::leftEliminate	(	ArrayDiagonalX &	D,
		VectorX &	F,
		int const &	nrow,
		Array &	U,
		bool	withU = true,
		Real const &	tol = Arithmetic< Real >::epsilon()
	)

left eliminate the element on the subdiagonal of the row nrow

Parameters

D	the diagonal of the matrix
F	the subdiagonal of the matrix
nrow	the number of the row were we want to rightEliminate
U	a left orthogonal Array
withU	true if we want to update U
tol	the tolerance to use

Definition at line 470 of file STK_Svd.h.

{
  //the element to eliminate
  Real z = F[nrow];
  // if the element is not 0.0
  if (std::abs(z)+tol != tol)
  {
    // begin the Givens rotations
    for (int k=nrow+1; k <D.end(); k++)
    {
      // compute and apply Givens rotation to the rows (nrow, k)
      Real y = D[k];
      Real aux, cosinus, sinus;
      D[k]  = (aux     = norm(y,z));
      z     = (sinus   = -z/aux) * F[k];
      F[k] *= (cosinus = y/aux);
      // Update U_
      if (withU)
        rightGivens(U, nrow, k, cosinus, sinus);
      if (std::abs(z)+tol == tol) break;
    }
  }
  F[nrow] = 0.0;
}

References norm(), and rightGivens().

maxByCol()

template<class Derived >

hidden::SliceVisitorSelector< Derived, hidden::MaxVisitor, Arrays::by_col_ >::type_result STK::maxByCol

(

Derived const &

A

)

Definition at line 345 of file STK_SlicingVisitors.h.

maxByRow()

template<class Derived >

hidden::SliceVisitorSelector< Derived, hidden::MaxVisitor, Arrays::by_row_ >::type_result STK::maxByRow

(

Derived const &

A

)

Definition at line 345 of file STK_SlicingVisitors.h.

maxSafeByCol()

template<class Derived >

hidden::SliceVisitorSelector< Derived, hidden::MaxSafeVisitor, Arrays::by_col_ >::type_result STK::maxSafeByCol

(

Derived const &

A

)

Definition at line 402 of file STK_SlicingVisitors.h.

maxSafeByRow()

template<class Derived >

hidden::SliceVisitorSelector< Derived, hidden::MaxSafeVisitor, Arrays::by_row_ >::type_result STK::maxSafeByRow

(

Derived const &

A

)

Definition at line 402 of file STK_SlicingVisitors.h.

meanByCol()

template<class Derived >

hidden::SliceVisitorSelector< Derived, hidden::MeanVisitor, Arrays::by_col_ >::type_result STK::meanByCol

(

Derived const &

A

)

Definition at line 361 of file STK_SlicingVisitors.h.

Referenced by main().

meanByRow()

template<class Derived >

hidden::SliceVisitorSelector< Derived, hidden::MeanVisitor, Arrays::by_row_ >::type_result STK::meanByRow

(

Derived const &

A

)

Definition at line 361 of file STK_SlicingVisitors.h.

meanSafeByCol()

template<class Derived >

hidden::SliceVisitorSelector< Derived, hidden::MeanSafeVisitor, Arrays::by_col_ >::type_result STK::meanSafeByCol

(

Derived const &

A

)

Definition at line 410 of file STK_SlicingVisitors.h.

meanSafeByRow()

template<class Derived >

hidden::SliceVisitorSelector< Derived, hidden::MeanSafeVisitor, Arrays::by_row_ >::type_result STK::meanSafeByRow

(

Derived const &

A

)

Definition at line 410 of file STK_SlicingVisitors.h.

minByCol()

template<class Derived >

hidden::SliceVisitorSelector< Derived, hidden::MinVisitor, Arrays::by_col_ >::type_result STK::minByCol

(

Derived const &

A

)

Definition at line 337 of file STK_SlicingVisitors.h.

minByRow()

template<class Derived >

hidden::SliceVisitorSelector< Derived, hidden::MinVisitor, Arrays::by_row_ >::type_result STK::minByRow

(

Derived const &

A

)

Definition at line 337 of file STK_SlicingVisitors.h.

Referenced by main().

minSafeByCol()

template<class Derived >

hidden::SliceVisitorSelector< Derived, hidden::MinSafeVisitor, Arrays::by_col_ >::type_result STK::minSafeByCol

(

Derived const &

A

)

Definition at line 394 of file STK_SlicingVisitors.h.

minSafeByRow()

template<class Derived >

hidden::SliceVisitorSelector< Derived, hidden::MinSafeVisitor, Arrays::by_row_ >::type_result STK::minSafeByRow

(

Derived const &

A

)

Definition at line 394 of file STK_SlicingVisitors.h.

operator<<() [1/4]

ostream & STK::operator<< ( ostream &  os, Binary const &  value  )

inline

Overloading of the ostream << for the type Binary.

Parameters

os	the output stream
value	the value to send to the stream

Definition at line 93 of file STK_Binary.h.

{
  return Arithmetic<Binary>::isNA(value) ? (os <<  stringNa)
                                         : (os << static_cast<int>(value));
}

References STK::Arithmetic< Type >::isNA(), and stringNa.

operator<<() [2/4]

ostream & STK::operator<< ( ostream &  os, const Sign &  value  )

inline

Overloading of the ostream << for the type Sign.

Parameters

os	the output stream
value	the value to send to the stream

Definition at line 101 of file STK_Sign.h.

{ return Arithmetic<Sign>::isNA(value)
      ? (os << stringNa) : (os << static_cast<int>(value));
}

References STK::Arithmetic< Type >::isNA().

operator<<() [3/4]

ostream & STK::operator<<	(	ostream &	s,
		DataFrame const &	V
	)

Print a DataFrame.

Parameters

s	ooutput stream
V	the Dataframe to write

Definition at line 499 of file STK_DataFrame.cpp.

{
  s << std::right;
  V.writeDataFrame(s, V.beginCols(), V.lastIdxCols());
  return s;
}

References STK::DataFrame::beginCols(), STK::DataFrame::lastIdxCols(), and STK::DataFrame::writeDataFrame().

operator<<() [4/4]

template<typename Type_ >

ostream & STK::operator<< ( ostream &  s, Variable< Type_ > const &  V  )

inline

ostream for Variable.

Definition at line 430 of file STK_Variable.h.

{
  s << V.name() << _T("\n");
  return out1D(s, V);
}

References _T, and out1D().

operator>>() [1/3]

istream & STK::operator>> ( istream &  is, Binary &  value  )

inline

Overloading of the istream >> for the type Binary.

Parameters

is	the input stream
value	the value to get from the stream

Definition at line 104 of file STK_Binary.h.

{
  int res;
  // try to read an integer
  if (!(is >> res).fail())
  {
    switch (res)
    {
      case 0:
        value = zero_;
        break;
      case 1:
        value = one_;
        break;
      default:
        value = binaryNA_;
        break;
    }
  }
  else
  { value = binaryNA_; is.clear(); is.setstate(std::ios::failbit);}
  return is;
}

References binaryNA_, one_, and zero_.

operator>>() [2/3]

istream & STK::operator>> ( istream &  is, Range &  I  )

inline

The input stream can also be a number (say n). In this case the range will be n:n. If the range cannot be read the method return a NA value

Parameters

is	the input stream
I	the range to set

Returns

is stream

Definition at line 431 of file STK_Range.h.

{
  String str;
  std::getline(is, str, _T(':'));
  // get first number
  if (!stringToType(I.begin_, str))
  {
    I = Arithmetic<Range>::NA();
    is.clear(); is.setstate(std::ios::failbit);
    return is;
  }
  // check if the istream is exhausted
  if (is.eof())
  {
    I.size_ = 1;
    return is;
  }
  // skip the current char ":"
  is.peek();
  // get second number
  if ((is >> I.size_).fail())
  {
    I = Arithmetic<Range>::NA();
    is.clear(); is.setstate(std::ios::failbit);
    return is;
  }
  else { I.size_ -= I.begin_ ;}
  return is;
}

operator>>() [3/3]

istream & STK::operator>> ( istream &  is, Sign &  value  )

inline

Overloading of the istream >> for the type Sign.

Parameters

is	the input stream
value	the value to get from the stream

Definition at line 111 of file STK_Sign.h.

{
  // get current file position
  int res;
  // try to read an integer
  if (!(is >> res).fail())
  {
    switch (res)
    {
      case 1:
        value = positive_;
        break;
      case -1:
        value = negative_;
        break;
      default:
        value = signNA_;
        break;
    }
  }
  else
  { value = signNA_; is.clear(); is.setstate(std::ios::failbit);}
  return is;
}

References negative_, positive_, and signNA_.

sumByCol()

template<class Derived >

hidden::SliceVisitorSelector< Derived, hidden::SumVisitor, Arrays::by_col_ >::type_result STK::sumByCol

(

Derived const &

A

)

Definition at line 353 of file STK_SlicingVisitors.h.

Referenced by STK::IMixtureComposer::initializeMixtureParameters().

sumByRow()

template<class Derived >

hidden::SliceVisitorSelector< Derived, hidden::SumVisitor, Arrays::by_row_ >::type_result STK::sumByRow

(

Derived const &

A

)

Definition at line 353 of file STK_SlicingVisitors.h.

Variable Documentation

blockSize_

const int STK::blockSize_ = 4

Definition at line 41 of file STK_ProductRaw.h.

Referenced by STK::hidden::CopySubArrayImpl< Array, Type >::arrayToBlock(), STK::hidden::CopySubArrayImpl< Array, Type >::arrayToBlockByCol(), STK::hidden::CopySubArrayImpl< Array, Type >::arrayToPanel(), STK::hidden::CopySubArrayImpl< Array, Type >::arrayToPanel(), STK::hidden::CopySubArrayImpl< Array, Type >::arrayToPanelByCol(), STK::hidden::CopySubArrayImpl< Array, Type >::arrayToPanelByCol(), STK::hidden::BlockByPanel< Lhs, Rhs, Result >::multBlockByPanel(), STK::hidden::BlockByPanel< Lhs, Rhs, Result >::multBlockByPanel(), STK::hidden::BlockByPanel< Lhs, Rhs, Result >::multBlockByPanel(), STK::hidden::PanelByBlock< Lhs, Rhs, Result >::multPanelByBlock(), STK::hidden::PanelByBlock< Lhs, Rhs, Result >::multPanelByBlock(), STK::hidden::PanelByBlock< Lhs, Rhs, Result >::multPanelByBlock(), STK::hidden::BlockByPanel< Lhs, Rhs, Result >::run(), STK::hidden::PanelByBlock< Lhs, Rhs, Result >::run(), STK::hidden::BlockPanelProduct< Lhs, Rhs, Result >::run(), and STK::hidden::PanelBlockProduct< Lhs, Rhs, Result >::run().

panelSize_

const int STK::panelSize_ = 64

Definition at line 42 of file STK_ProductRaw.h.

Referenced by STK::hidden::CopySubArrayImpl< Array, Type >::arrayToPanel(), STK::hidden::CopySubArrayImpl< Array, Type >::arrayToPanelByCol(), STK::hidden::BlockByPanel< Lhs, Rhs, Result >::multBlockByPanel(), STK::hidden::PanelByBlock< Lhs, Rhs, Result >::multPanelByBlock(), STK::hidden::BlockByPanel< Lhs, Rhs, Result >::run(), STK::hidden::PanelByBlock< Lhs, Rhs, Result >::run(), STK::hidden::BlockPanelProduct< Lhs, Rhs, Result >::run(), and STK::hidden::PanelBlockProduct< Lhs, Rhs, Result >::run().

panelTotal

const int STK::panelTotal = 256

Definition at line 43 of file STK_ProductRaw.h.

vectorSize

const int STK::vectorSize = 256

Definition at line 45 of file STK_ProductRaw.h.

Referenced by STK::hidden::MultImpl< Type >::PanelByVector(), and STK::hidden::MultImpl< Type >::vectorByVector().