STK++  0.4
Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
STK::AbsOp< Type >Template functor which compute the absolute value of a number
STK::AcosOp< Type >Template functor which compute the arc cosine of a number
STK::AdditiveBSplineCoefficientsCompute the regression splines coefficients of an additive model
STK::AdditiveBSplineRegressionCompute an additive BSpline, multivalued, regression function using BSpline basis
STK::AdditiveBSplineRegressionPageIn this Page, we manage the options for the computation of the Additive BSpline regression
STK::AddOp< Type >Template functor to add a number to a fixed other one
STK::AICCriterionDerived class of Criterion for computing the AIC Criterion The AIC criteria is a penalization of the likelihood given by the formula

\[ -2 \cdot \ln{p(x|k)} \approx \mathrm{AIC} = {-2 \cdot \ln{L} +2 D } \]

where $ L $ represents the likelihood of the observations and $ D $ the number of free parameter of the model

STK::AllocatorBase< Type >Templated base class for all *Array* classes
STK::Arithmetic< TYPE >Arithmetic properties of STK fundamental types
STK::Arithmetic< Binary >Specialization for Binary
STK::Arithmetic< Char >Specialization of the struct Arithmetic for Char
STK::Arithmetic< Integer >Specialization for int (long)
STK::Arithmetic< Real >Specialization for Real
STK::Arithmetic< Sign >Specialization for Sign
STK::Arithmetic< String >Specialization for String
STK::Array1D< Type >Templated one dimensional Arrays
STK::Array2D< Type >Templated two dimensional column (vertically) oriented Array
STK::Array2DDiagonal< Type >Derivation of the Array2DDiagonal class for square arrays of Real
STK::Array2DLowerTriangular< Type >Declaration of the lower triangular matrix class
STK::Array2DPoint< Type >Templated one dimensional horizontal Array
STK::Array2DSquare< Type >Derivation of the Array2DSquare class for square arrays of Real
STK::Array2DUpperTriangular< Type >Declaration of the upper triangular matrix class
STK::Array2DVector< Type >Templated one dimensional horizontal Array
STK::ArrayBase< Derived >Base class for templated evaluation expressions
STK::ArrayBaseVisitor< Derived, Visitor >Applies the visitor visitor to the whole elements of the matrix or vector
STK::ArrayInitializer< Derived >Helper class used by the comma initializer operator
STK::AsinOp< Type >Template functor which compute the arc sine of a number
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::diagonal_, Arrays::diagonal_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::diagonal_, Arrays::point_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::diagonal_, Arrays::vector_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::general_, Arrays::diagonal_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::general_, Arrays::general_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::general_, Arrays::lower_triangular_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::general_, Arrays::square_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::general_, Arrays::upper_triangular_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::lower_triangular_, Arrays::lower_triangular_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::number_, Arrays::number_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::point_, Arrays::diagonal_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::point_, Arrays::point_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::point_, Arrays::vector_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::square_, Arrays::diagonal_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::square_, Arrays::general_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::square_, Arrays::lower_triangular_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::square_, Arrays::square_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::square_, Arrays::upper_triangular_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::upper_triangular_, Arrays::upper_triangular_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::vector_, Arrays::diagonal_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::vector_, Arrays::point_ >
STK::hidden::BasedCopyCat< Derived, Rhs, Arrays::vector_, Arrays::vector_ >
STK::hidden::BasedCopyCatSelector< Derived, Rhs, Arrays::by_col_ >
STK::hidden::BasedCopyCatSelector< Derived, Rhs, Arrays::by_row_ >
STK::Law::BernoulliImplement the Bernoulli probability law
STK::BernoulliModel< Array, WColVector >A Bernoulli model, is a statistical model of the following form

\[ f(x_i = x|\theta) = p^{x_i} (1-p)^{1-x_i}, \quad x_i\in\{0,1\}, \quad i=1\ldots,n. \]

STK::BICCriterionDerived class of Criterion for computing the BIC Criterion The Bic criteria is a penalization of the likelihood given by the formula

\[ -2 \cdot \ln{p(x|k)} \approx \mathrm{BIC} = {-2 \cdot \ln{L} + D \ln(n) } \]

where $ L $ represents the likelihood of the observations, $ D $ the number of free parameter of the model and $ n $ the number of sample

STK::hidden::binary_result_of_select< Func, Type1, Type2, SizeOf >
STK::hidden::binary_result_of_select< Func, Type1, Type2, sizeof(has_std_result_type)>
STK::hidden::binary_result_of_select< Func, Type1, Type2, sizeof(has_tr1_result)>
STK::BinaryOperator< BinaryOp, Lhs, Rhs >Generic expression where a binary operator is applied to two expressions
BinaryOperatorBaseImplement the access to the elements in the (2D) general case
BinaryOperatorBaseImplement the access to the elements in the (2D) general case
STK::BinaryOperatorBase< BinaryOp, Lhs, Rhs, Arrays::bin0D_ >Specialization in the number-number case
STK::BinaryOperatorBase< BinaryOp, Lhs, Rhs, Arrays::bin1D2D_ >Specialization in the diagonal-* case
STK::BinaryOperatorBase< BinaryOp, Lhs, Rhs, Arrays::bin1D_ >Specialization in the diagonal-vector case
STK::BinaryOperatorBase< BinaryOp, Lhs, Rhs, Arrays::bin2D1D_ >Specialization in the *-diagonal case
STK::BinaryOperatorBase< BinaryOp, Lhs, Rhs, Arrays::bin2D_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::diagonal_, Arrays::general_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::diagonal_, Arrays::lower_triangular_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::diagonal_, Arrays::square_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::diagonal_, Arrays::upper_triangular_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::general_, Arrays::diagonal_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::general_, Arrays::general_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::general_, Arrays::lower_triangular_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::general_, Arrays::square_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::general_, Arrays::upper_triangular_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::lower_triangular_, Arrays::diagonal_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::lower_triangular_, Arrays::general_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::lower_triangular_, Arrays::lower_triangular_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::lower_triangular_, Arrays::square_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::lower_triangular_, Arrays::upper_triangular_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::square_, Arrays::diagonal_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::square_, Arrays::general_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::square_, Arrays::lower_triangular_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::square_, Arrays::square_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::square_, Arrays::upper_triangular_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::upper_triangular_, Arrays::diagonal_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::upper_triangular_, Arrays::general_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::upper_triangular_, Arrays::lower_triangular_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::upper_triangular_, Arrays::square_ >
STK::hidden::BinaryReturnArray2DType< Type, Arrays::upper_triangular_, Arrays::upper_triangular_ >
STK::hidden::BinaryReturnStructure< Arrays::diagonal_, Arrays::diagonal_ >
STK::hidden::BinaryReturnStructure< Arrays::diagonal_, Arrays::general_ >
STK::hidden::BinaryReturnStructure< Arrays::diagonal_, Arrays::point_ >
STK::hidden::BinaryReturnStructure< Arrays::diagonal_, Arrays::square_ >
STK::hidden::BinaryReturnStructure< Arrays::diagonal_, Arrays::vector_ >
STK::hidden::BinaryReturnStructure< Arrays::general_, Arrays::diagonal_ >
STK::hidden::BinaryReturnStructure< Arrays::general_, Arrays::general_ >
STK::hidden::BinaryReturnStructure< Arrays::general_, Arrays::square_ >
STK::hidden::BinaryReturnStructure< Arrays::lower_triangular_, Arrays::diagonal_ >
STK::hidden::BinaryReturnStructure< Arrays::lower_triangular_, Arrays::lower_triangular_ >
STK::hidden::BinaryReturnStructure< Arrays::number_, Arrays::number_ >
STK::hidden::BinaryReturnStructure< Arrays::point_, Arrays::diagonal_ >
STK::hidden::BinaryReturnStructure< Arrays::point_, Arrays::point_ >
STK::hidden::BinaryReturnStructure< Arrays::point_, Arrays::vector_ >
STK::hidden::BinaryReturnStructure< Arrays::square_, Arrays::diagonal_ >
STK::hidden::BinaryReturnStructure< Arrays::square_, Arrays::general_ >
STK::hidden::BinaryReturnStructure< Arrays::square_, Arrays::square_ >
STK::hidden::BinaryReturnStructure< Arrays::upper_triangular_, Arrays::diagonal_ >
STK::hidden::BinaryReturnStructure< Arrays::upper_triangular_, Arrays::upper_triangular_ >
STK::hidden::BinaryReturnStructure< Arrays::vector_, Arrays::diagonal_ >
STK::hidden::BinaryReturnStructure< Arrays::vector_, Arrays::point_ >
STK::hidden::BinaryReturnStructure< Arrays::vector_, Arrays::vector_ >
STK::Stat::Bivariate< XTYPE, YTYPE, TContainer1D >Computation of the bivariate Statistics of two Variables
STK::Stat::Bivariate< Real, Real, TContainer1D >Computation of the bivariate Statistics of two Variables
STK::hidden::bp< Lhs, Rhs, Result >Methods to use for C=AB with A divided in blocks and B divided in panels
STK::BSplineCoefficientsCompute the regression splines coefficients
STK::BSplineRegressionCompute a BSpline, multivalued, regression function using BSpline basis
STK::hidden::bv< Lhs, Rhs, Result >Methods to use for C=AB with A a ganeral matrix and B a vector
STK::CAllocator< Type, Structure_, SizeRows_, SizeCols_, Orient_ >Allocator for the dense CArray classes
STK::CAllocator< Type, Structure_, SizeRows_, UnknownSize, Orient_ >Specialized Allocator for the dense Arrays classes
STK::CAllocator< Type, Structure_, UnknownSize, SizeCols_, Orient_ >Specialized Allocator for the dense Arrays classes
STK::CAllocator< Type, Structure_, UnknownSize, UnknownSize, Orient_ >Specialized Allocator for the dense Arrays classes
STK::CAllocatorBase< Derived >
STK::CArray< Type, Structure_, SizeRows_, SizeCols_, Orient_ >A CArray is a two dimensional array with a continuous storage like a C-array
STK::CArray< Type, Arrays::number_, 1, 1, Orient_ >Specialization for the number case
STK::CArray< Type, Arrays::point_, SizeRows_, SizeCols_, Orient_ >Specialization for the point case
STK::CArray< Type, Arrays::square_, SizeRows_, SizeCols_, Orient_ >Specialization for the point case
STK::CArray< Type, Arrays::vector_, SizeRows_, SizeCols_, Orient_ >Specialization for the vector case
STK::CastOp< Type, OtherType >Template functor which cast a type to another type
STK::Law::CauchyCauchy distribution law
STK::Cell2D< Type >Templated class for the 2 Dimensional Cells
STK::CellBase< Type >Templated Base class for the Cell in a list
STK::CellHo< Type >Templated class for the Horizontal Cell of a Horizontal List
STK::CellVe< Type >Templated class for the Vertical Cell of a Vertical List
STK::hidden::ColVisitor< Visitor, Derived, Unroll1_, Unroll2_ >Specialization for the arrays with 1 row (Point)
STK::hidden::ColVisitor< Visitor, Derived, 1, UnknownSize >Specialization for the arrays with 1 row (Point)
STK::hidden::ColVisitor< Visitor, Derived, 1, Unroll2_ >Specialization for the arrays with 1 row (Point)
STK::hidden::ColVisitor< Visitor, Derived, Unroll1_, UnknownSize >Specialization for the arrays with 1 row (Point)
STK::ConstArrayBaseVisitor< Derived, Visitor >Applies the visitor Visitor to the whole elements of the matrix or vector but don't modify the Array
STK::ConstProxy< Type >The ConstProxy class allow to surdefine operators and methods for every kind of constant class and type without using dynamic_cast
STK::hidden::Copycat< Derived, Rhs, Arrays::diagonal_, Arrays::diagonal_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::diagonal_, Arrays::point_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::diagonal_, Arrays::vector_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::general_, Arrays::diagonal_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::general_, Arrays::general_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::general_, Arrays::lower_triangular_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::general_, Arrays::square_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::general_, Arrays::upper_triangular_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::lower_triangular_, Arrays::lower_triangular_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::number_, Arrays::number_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::point_, Arrays::diagonal_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::point_, Arrays::point_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::point_, Arrays::vector_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::square_, Arrays::diagonal_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::square_, Arrays::general_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::square_, Arrays::lower_triangular_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::square_, Arrays::square_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::square_, Arrays::upper_triangular_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::upper_triangular_, Arrays::upper_triangular_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::vector_, Arrays::diagonal_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::vector_, Arrays::point_ >
STK::hidden::Copycat< Derived, Rhs, Arrays::vector_, Arrays::vector_ >
STK::hidden::CopycatSelector< Derived, Rhs, Arrays::by_col_ >Specialization for column oriented arrrays
STK::hidden::CopycatSelector< Derived, Rhs, Arrays::by_row_ >Specialization for row oriented arrrays
STK::CosOp< Type >Template functor which compute the cosine of a number
STK::CsvToArray< Array >The CsvToArray class allow to export the data of some Type stored in a TReadWriteCsv in an Array
STK::hidden::CsvToArrayImpl< Type, Array2D< Type > >
STK::hidden::CsvToArrayImpl< Type, CArray< Type, Arrays::general_ > >
STK::CubeOp< Type >Template functor which compute the cube of a number
STK::DataFrameDataFrame is a List of Variable with the same number of rows
STK::DataFrameToArray2D< Type >The DataFrameToArray2D class allow to export the data of some TYPE stored in a DataFrame to be exported in an Array2D
STK::DiagonalByMatrixProduct< Lhs, Rhs >Generic expression where a product operator is applied to two expressions
STK::Arrays::DifferenceOp< Lhs, Rhs >Matrix difference (by coefficient) Perform the matrix difference coefficient by coefficient of the Matrix lhs by the Matrix rhs
STK::DifferenceOp< Type1, Type2 >Template functor which compute the difference of two numbers
STK::Arrays::DivOp< Lhs, Rhs >Matricial Division
STK::DivOp< Type1, Type2 >Template functor which compute the difference of two numbers
STK::domain_errorThrown by the library, or by you, to report domain errors (domain in the mathematical sense)
STK::DotProduct< Lhs, Rhs >Generic expression where a dot operator is applied to two expressions
STK::EigenvaluesSymmetricThe class EigenvaluesSymmetric compute the eigenvalue Decomposition of a symmetric Matrix
STK::hidden::EltVisitor1DBase< Type >Base class to implement min, max, sum,..
STK::hidden::EltVisitor2DBase< Type >Base class to implement min, max, sum,..
STK::EqualOp< Type1, Type2 >Template functor testing if a number is equal to an other
STK::ExceptionBase class for all library Exceptions
STK::Law::ExponentialClass for the Exponential random generator
STK::ExpOp< Type >Template functor which compute the exponential of a number
STK::ExportToCsvExport data to a Csv
STK::hidden::FalseType
STK::hidden::FunctorParamTraits< Functor, NbParam_ >Produce the Nth parameter type of Functor
STK::hidden::FunctorReturnTypeTraits< Functor >Produce the return type of the Functor
STK::Gaussian2BlocksModelCompute the the maximum likelihood estimates of a Gaussian tow blocks statistical model
STK::GaussianAAModelGaussian Auto-Associative models
STK::GaussianModelCompute the maximum likelihood estimates of a complete Gaussian statistical model
STK::hidden::GenVisitor< Visitor, Derived, Arrays::by_col_, 1, 1 >Specialization for the general case with 1 row (Point)a nd 1 column arrays
STK::hidden::GenVisitor< Visitor, Derived, Arrays::by_col_, 1, UnknownSize >Specialization for the general case with 1 row (Point), column oriented arrays
STK::hidden::GenVisitor< Visitor, Derived, Arrays::by_col_, 1, Unroll2_ >Specialization for the arrays with 1 row (Point)
STK::hidden::GenVisitor< Visitor, Derived, Arrays::by_col_, UnknownSize, 1 >Specialization for the general case with 1 row (Point), column oriented arrays
STK::hidden::GenVisitor< Visitor, Derived, Arrays::by_col_, UnknownSize, UnknownSize >Specialization for the general case with column oriented arrays
STK::hidden::GenVisitor< Visitor, Derived, Arrays::by_col_, UnknownSize, Unroll2_ >Specialization for the general case when we unroll the rows and we don't unroll the columns
STK::hidden::GenVisitor< Visitor, Derived, Arrays::by_col_, Unroll1_, 1 >Specialization for the Arrays with 1 row (Point)
STK::hidden::GenVisitor< Visitor, Derived, Arrays::by_col_, Unroll1_, UnknownSize >Specialization for the general case when we unroll the rows and we don't unroll the columns
STK::hidden::GenVisitor< Visitor, Derived, Arrays::by_col_, Unroll1_, Unroll2_ >Specialization for the general case when we unroll the rows and the and the columns with a column oriented arrays
STK::hidden::GenVisitor< Visitor, Derived, Arrays::by_row_, 1, 1 >Specialization for the general case with 1 row (Point)a nd 1 column arrays
STK::hidden::GenVisitor< Visitor, Derived, Arrays::by_row_, 1, UnknownSize >Specialization for 1 row (Point), row oriented arrays
STK::hidden::GenVisitor< Visitor, Derived, Arrays::by_row_, 1, Unroll2_ >Specialization for the arrays with 1 column (Vector)
STK::hidden::GenVisitor< Visitor, Derived, Arrays::by_row_, UnknownSize, 1 >Specialization for 1 column (Vector), row oriented arrays
STK::hidden::GenVisitor< Visitor, Derived, Arrays::by_row_, UnknownSize, UnknownSize >Specialization for the general case with row oriented arrays
STK::hidden::GenVisitor< Visitor, Derived, Arrays::by_row_, UnknownSize, Unroll2_ >Specialization for the general case when we unroll the rows and we don't unroll the columns
STK::hidden::GenVisitor< Visitor, Derived, Arrays::by_row_, Unroll1_, 1 >Specialization for the Arrays with 1 row (Point)
STK::hidden::GenVisitor< Visitor, Derived, Arrays::by_row_, Unroll1_, UnknownSize >Specialization for the general case when we unroll the rows and we don't unroll the columns
STK::hidden::GenVisitor< Visitor, Derived, Arrays::by_row_, Unroll1_, Unroll2_ >Specialization for the general case when we unroll the rows and the columns with a row oriented arrays
STK::GeqOp< Type1, Type2 >Template functor testing if a number is greater or equal than an other
STK::GinvSymmetricFunctor allowing to compute the generalized inverse of a symmetric matrix
STK::GreaterOp< Type1, Type2 >Template functor testing if a number is greater than an other
STK::hidden::has_none
STK::hidden::has_std_result_type
STK::hidden::has_tr1_result
STK::IAAModel@
STK::IArray1D< Derived >Templated one dimensional Array
STK::IArray2D< Derived >Templated interface base class for two-dimensional arrays
STK::IArray2DBase< PTRCOL, Derived >Templated interface base class for two-dimensional arrays
STK::ICArray< Derived >Interface class for all CArray, CPoint, CVector
STK::IContainer1DInterface base class for homogeneous 1D containers
STK::ICriterionInterface base class for the selection model criterion
STK::IdTypeImpl< TYPE >Implementation of the return type
STK::IdTypeImpl< Binary >Specialization of the IdTypeImpl for the Type Binary
STK::IdTypeImpl< Char >Specialization of the IdTypeImpl for the Type Char
STK::IdTypeImpl< Integer >Specialization of the IdTypeImpl for the Type int
STK::IdTypeImpl< Real >Specialization of the IdTypeImpl for the Type Real
STK::IdTypeImpl< Sign >Specialization of the IdTypeImpl for the Type Sign
STK::IdTypeImpl< String >Specialization of the IdTypeImpl for the Type String
STK::hidden::If< false, Then, Else >
STK::hidden::If< true, Then, Else >
STK::IGaussianModel< Array >Compute the the maximum likelihood estimates of a complete Gaussian statistical model
STK::Law::ILawBaseInterface base class for all the (univariate/multivariate) probabilities laws
STK::ILinearReductA ILinearReduct is an interface base class for reduction method using a linear reduction
STK::IModelBaseInterface base class for all Statistical Models
STK::ImportFromCsvImport data from a Csv File in a DataFrame
STK::Law::IMultiLaw< RowVector >Interface base Class for the multivariate distributions
STK::IMultiStatModel< Array, WColVector, Parameters >Base class for all Multivariate Statistical Models
STK::invalid_argumentThrown to report invalid arguments to functions
STK::InverseOp< Type >Template functor which compute the inverse of a number
STK::IPageA IPage is an interface base class for reading and/or writing a page of option in a file
STK::IRecursiveTemplate< Derived >Interface base class for all classes implementing the curious recursive template paradigm
STK::IReductA IReduct is an interface base class for dimension reduction techniques
STK::IRegression< YContainer, XContainer, WContainer >Interface base class for Regression methods
STK::IRunnerBaseAbstract base class for all classes having a
STK::IRunnerRegression< TY, TX >Abstract class for all classes making supervised learning
STK::IRunnerUnsupervised< Array, WColVector >Abstract class for all classes making unsupervised learning
STK::hidden::isArithmetic< T >
STK::hidden::isArithmetic< bool >
STK::hidden::isArithmetic< char >
STK::hidden::isArithmetic< double >
STK::hidden::isArithmetic< float >
STK::hidden::isArithmetic< long double >
STK::hidden::isArithmetic< signed char >
STK::hidden::isArithmetic< signed int >
STK::hidden::isArithmetic< signed long >
STK::hidden::isArithmetic< signed short >
STK::hidden::isArithmetic< unsigned char >
STK::hidden::isArithmetic< unsigned int >
STK::hidden::isArithmetic< unsigned long >
STK::hidden::isArithmetic< unsigned short >
STK::ISerie< Serie >Interface base class for Series
STK::hidden::isint< T >
STK::hidden::isint< bool >
STK::hidden::isint< char >
STK::hidden::isint< signed char >
STK::hidden::isint< signed int >
STK::hidden::isint< signed long >
STK::hidden::isint< signed short >
STK::hidden::isint< unsigned char >
STK::hidden::isint< unsigned int >
STK::hidden::isint< unsigned long >
STK::hidden::isint< unsigned short >
STK::ITArrayBase< Derived, SizeRow_, SizeCol_ >Interface class for homogeneous 2D containers which can be part of an expression and handle their own storage (like IArray2D derived classes)
ITContainer
ITContainer1D
STK::ITContainer1D< Derived, Arrays::point_ >Specialization for point_
STK::ITContainer1D< Derived, Arrays::vector_ >Specialization for vector_
STK::ITContainer2D< Derived, SizeRow_, SizeCol_ >Interface class for homogeneous 2D containers which cannot be expression or part of an expression (like allocators)
STK::ITContainer< Derived, Arrays::diagonal_ >Specialization for diagonal_
STK::ITContainer< Derived, Arrays::general_ >Specialization for general_
STK::ITContainer< Derived, Arrays::lower_triangular_ >Specialization for lower_triangular_
STK::ITContainer< Derived, Arrays::number_ >Specialization for number_
STK::ITContainer< Derived, Arrays::point_ >Specialization for point_
STK::ITContainer< Derived, Arrays::square_ >
STK::ITContainer< Derived, Arrays::upper_triangular_ >Specialization for upper_triangular_
STK::ITContainer< Derived, Arrays::vector_ >Specialization for vector_
STK::ITContainerBase< Derived >Interface base class for 2D containers
STK::Law::IUnivLaw< Type >Interface base class for all the univariate probabilities laws
STK::IUnivStatModel< ColVector, WColVector, UnivariateLaw >Base class for all Statistical Models
STK::IVariableIVariable is an Interface class for all Variables classes
STK::Law::JointBernoulli< RowVector >Implement the Joint Bernoulli probability law
STK::JointBernoulliModel< Array, WColVector >A joint Bernoulli model is a statistical model of the form: following form

\[ f(\mathbf{x}_i = x|\theta) = \prod_{j=1}^p p_{j}^{x_i^j} (1-p_{j})^{1-x_i^j}, \quad x_i^j\in\{0,1\}, \quad j=1,\ldots,p, \quad i=1,\ldots,n. \]

STK::JointBernoulliParametersStructure encapsulating the parameters of a Joint Bernoulli model
STK::Law::JointCauchy< RowVector >Implement the Joint Cauchy probability law
STK::JointGaussianModel< Array, WColVector >A joint Gaussian model is a statistical model of the form: following form

\[ f(\mathbf{x}_i = x|\theta) = \prod_{j=1}^p p_{j}^{x_i^j} (1-p_{j})^{1-x_i^j}, \quad x_i^j\in\{0,1\}, \quad j=1,\ldots,p, \quad i=1,\ldots,n. \]

STK::JointGaussianParametersStructure encapsulating the parameters of a Joint Gaussian model
STK::Law::JointNormal< RowVector >Implement the Joint Normal probability law
STK::Law::JointProbability< RowVector, Law >Joint density class for the multivariate distributions
STK::LatentModel< ArrayObservable, ArrayLatent >Base class for latent models
STK::length_errorThrown when an object is constructed that would exceed its maximum permitted size (e.g., a basic_String instance)
STK::LeqOp< Type1, Type2 >Template functor testing if a number is less or equal than an other
STK::LessOp< Type1, Type2 >Template functor testing if a number is less than an other
STK::LinearAAModelA Linear AutoAssociative Model (LAAM) is a generalization of the PCA model for projecting variables on an affine plane of lower dimension
STK::List1D< Type >Templated One dimensional Horizontal List
STK::LocalVarianceA LocalVariance is an implementation of the abstract ILinearReduct class
STK::LocalVariancePageIn this Page, we manage the options for the computation of the LocalVariance
STK::logic_errorLogic 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)
STK::LogOp< Type >Template functor which compute the logarithm of a number
STK::MatrixByDiagonalProduct< Lhs, Rhs >Generic expression where a product operator is applied to two expressions
STK::MatrixByMatrixProduct< Lhs, Rhs >Generic expression where a product operator is applied to two expressions
STK::MatrixByVectorProduct< Lhs, Rhs >Generic expression where a product operator is applied to two expressions
STK::hidden::MaxEltVisitor< Type >Visitor computing the maximal coefficient of the Array
STK::hidden::MaxEltVisitor1D< Type >Visitor computing the maximal coefficient of the Array
STK::MaxOp< Type1, Type2 >Template functor which compute the maximum of two numbers
STK::hidden::MinEltVisitor< Type >Visitor computing the min coefficient with its value and coordinates
STK::hidden::MinEltVisitor1D< Type >Visitor computing the min coefficient with its value and coordinates
STK::MinOp< Type1, Type2 >Template functor which compute the minimum of two numbers
STK::MixtureModel< ObservableData >Base class for Mixture model
MTRandGenerate unsigner 32 bits random number using the Merdsenne Twister Algorithm
STK::hidden::MultCoefImpl< Lhs, Rhs, Result >This structure regroup the methods to used after block multiplication in order to perform the product of the remaining rows and columns
STK::MultidimRegressionThe MultidimRegression class allows to regress a multidimensional output variable among a multivariate explanation variable
STK::hidden::MultImpl< Type >This structure regroup all the methods using only pointers on the Type
STK::Law::MultiNormal< Container1D >Class for the multivariate Normal distribution
STK::MultipleOp< Type >Template functor to multiply a number by a fixed other one
STK::Stat::Multivariate< Array, WColVector, Type >Computation of the multivariate statistics of a Variable
STK::Stat::Multivariate< Array, Real >Computation of the Multivariate Statistics of a 2D Container of Real
STK::Arrays::MultLeftTransposeOp< Lhs, Rhs >Matrix multiplication Perform the matrix product of the transposed Matrix lhs by the Matrix rhs
STK::Arrays::MultOp< Lhs, Rhs >Matrix multiplication Perform the matrix product of the Matrix lhs by the Matrix rhs
STK::Arrays::MultRightTransposeOp< Lhs, Rhs >Matrix multiplication Perform the matrix product of the Matrix lhs by the transposed Matrix rhs
STK::hidden::NoAssignOperatorClasses inheriting NoAssignOperator should not generate a default operator=
STK::Law::NormalNormal distribution law
STK::NotEqualOp< Type1, Type2 >Template functor testing if a number is not equal to an other
numeric_limits
STK::OppositeOp< Type >Template functor which compute the opposite of a number
STK::OptionOption class allow to store the value of an option from a IPage
OrientedCAllocator
STK::OrientedCAllocator< Derived, Arrays::by_col_ >Specialization for row _oriented Allocators
STK::OrientedCAllocator< Derived, Arrays::by_row_ >Specialization for col_ oriented Allocators
STK::out_of_rangeThis represents an argument whose value is not within the expected range (e.g., boundary checks in basic_String)
STK::overflow_errorThrown to indicate arithmetic overflow
STK::hidden::pb< Lhs, Rhs, Result >Methods to use for C=AB with A divided in panels and B divided in blocks
STK::PointByMatrixProduct< Lhs, Rhs >Generic expression where a product operator is applied to two expressions
STK::PowOp< Type >Template functor to raise a number to a power
STK::Arrays::Product< Lhs, Rhs >Matrix product (by coefficient) Perform the matrix product coefficient by coefficient of the Matrix lhs by the Matrix rhs
STK::ProductBase< Lhs, Rhs, LhsStructure_, RhsStructure_ >Implement the access to the elements in the (2D) general case
STK::hidden::ProductImpl< Lhs, Rhs, Result, lhsStructure_, RhsStructure_ >In the general case, i.e
STK::hidden::ProductImpl< Lhs, Rhs, Result, Arrays::general_, Arrays::general_ >
STK::hidden::ProductImpl< Lhs, Rhs, Result, Arrays::general_, Arrays::square_ >
STK::hidden::ProductImpl< Lhs, Rhs, Result, Arrays::general_, Arrays::vector_ >
STK::hidden::ProductImpl< Lhs, Rhs, Result, Arrays::point_, Arrays::general_ >
STK::hidden::ProductImpl< Lhs, Rhs, Result, Arrays::point_, Arrays::square_ >
STK::hidden::ProductImpl< Lhs, Rhs, Result, Arrays::square_, Arrays::general_ >
STK::hidden::ProductImpl< Lhs, Rhs, Result, Arrays::square_, Arrays::square_ >
STK::hidden::ProductImpl< Lhs, Rhs, Result, Arrays::square_, Arrays::vector_ >
STK::ProductOp< Type1, Type2 >Template functor which compute the product of two numbers
ProductResultType
STK::hidden::ProductResultType< Lhs, Rhs, Arrays::general_, Arrays::vector_ >
STK::hidden::ProductResultType< Lhs, Rhs, Arrays::general_, RStructure_ >
STK::hidden::ProductResultType< Lhs, Rhs, Arrays::lower_triangular_, Arrays::lower_triangular_ >
STK::hidden::ProductResultType< Lhs, Rhs, Arrays::lower_triangular_, Arrays::vector_ >
STK::hidden::ProductResultType< Lhs, Rhs, Arrays::lower_triangular_, RStructure_ >
STK::hidden::ProductResultType< Lhs, Rhs, Arrays::point_, RStructure_ >
STK::hidden::ProductResultType< Lhs, Rhs, Arrays::square_, Arrays::square_ >
STK::hidden::ProductResultType< Lhs, Rhs, Arrays::square_, Arrays::vector_ >
STK::hidden::ProductResultType< Lhs, Rhs, Arrays::square_, RStructure_ >
STK::hidden::ProductResultType< Lhs, Rhs, Arrays::upper_triangular_, Arrays::upper_triangular_ >
STK::hidden::ProductResultType< Lhs, Rhs, Arrays::upper_triangular_, Arrays::vector_ >
STK::hidden::ProductResultType< Lhs, Rhs, Arrays::upper_triangular_, RStructure_ >
STK::hidden::ProductResultType< Lhs, Rhs, Arrays::vector_, Arrays::point_ >
STK::hidden::ProductResultTypeBase< Lhs, Rhs >Helper class to get the correct enum characteristic of operator*
STK::hidden::ProductReturnArray2DType< Type, Arrays::diagonal_, Arrays::general_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::diagonal_, Arrays::lower_triangular_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::diagonal_, Arrays::point_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::diagonal_, Arrays::square_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::diagonal_, Arrays::upper_triangular_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::diagonal_, Arrays::vector_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::general_, Arrays::point_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::general_, Arrays::vector_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::general_, RStructure_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::lower_triangular_, Arrays::diagonal_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::lower_triangular_, Arrays::lower_triangular_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::lower_triangular_, Arrays::point_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::lower_triangular_, Arrays::vector_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::lower_triangular_, RStructure_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::point_, Arrays::general_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::point_, Arrays::lower_triangular_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::point_, Arrays::point_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::point_, Arrays::square_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::point_, Arrays::upper_triangular_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::point_, Arrays::vector_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::square_, Arrays::general_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::square_, Arrays::lower_triangular_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::square_, Arrays::point_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::square_, Arrays::square_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::square_, Arrays::upper_triangular_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::square_, Arrays::vector_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::upper_triangular_, Arrays::diagonal_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::upper_triangular_, Arrays::point_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::upper_triangular_, Arrays::upper_triangular_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::upper_triangular_, Arrays::vector_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::upper_triangular_, RStructure_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::vector_, Arrays::point_ >
STK::hidden::ProductReturnArray2DType< Type, Arrays::vector_, RStructure_ >
STK::ProductReturnType< Lhs, Rhs >Helper class to get the correct returned type of operator*
STK::hidden::ProductSelector< Lhs, Rhs, LStructure_, RStructure_ >Helper class to select the correct ProductreturnType
STK::hidden::ProductSelector< Lhs, Rhs, Arrays::diagonal_, Arrays::diagonal_ >
STK::hidden::ProductSelector< Lhs, Rhs, Arrays::diagonal_, RStructure_ >
STK::hidden::ProductSelector< Lhs, Rhs, Arrays::number_, RStructure_ >
STK::hidden::ProductSelector< Lhs, Rhs, Arrays::point_, Arrays::point_ >
STK::hidden::ProductSelector< Lhs, Rhs, Arrays::point_, Arrays::vector_ >
STK::hidden::ProductSelector< Lhs, Rhs, Arrays::point_, RStructure_ >
STK::hidden::ProductSelector< Lhs, Rhs, Arrays::vector_, Arrays::vector_ >
STK::hidden::ProductSelector< Lhs, Rhs, LStructure_, Arrays::diagonal_ >
STK::hidden::ProductSelector< Lhs, Rhs, LStructure_, Arrays::number_ >
STK::hidden::ProductSelector< Lhs, Rhs, LStructure_, Arrays::vector_ >
STK::ProjectedVarianceA ProjectedVariance is an implementation of the abstract ILinearReduct interface
STK::hidden::Promote< Type1, Type2 >Convenient struct to Promote the result Type of some binary functors
STK::hidden::Promote< Type, Type >Specialization when we have the same type
STK::Proxy< Type >The Proxy class allow to surdefine operators and methods for every kind of class without using dynamic_cast
STK::hidden::PtrCopycat< TDerived, SDerived, TIdx_, SIdx_, Size_ >
STK::hidden::PtrCopycat< TDerived, SDerived, TIdx_, UnknownSize, Size_ >
STK::hidden::PtrCopycat< TDerived, SDerived, TIdx_, UnknownSize, UnknownSize >
STK::hidden::PtrCopycat< TDerived, SDerived, UnknownSize, SIdx_, Size_ >
STK::hidden::PtrCopycat< TDerived, SDerived, UnknownSize, SIdx_, UnknownSize >
STK::hidden::PtrCopycat< TDerived, SDerived, UnknownSize, UnknownSize, Size_ >
STK::hidden::PtrCopycat< TDerived, SDerived, UnknownSize, UnknownSize, UnknownSize >
STK::QrThe class Qr perform the QR decomposition of a Matrix
QuotientBaseOp
STK::QuotientBaseOp< Type, false >
STK::QuotientBaseOp< Type, true >
STK::QuotientOp< Type >Template functor to divide a number by a fixed other one
STK::RandBaseClass for the Base random generator
STK::hidden::RandGaussVisitor< Type >Visitor computing the sum of all the coefficients of the Array
STK::hidden::RandUnifVisitor< Type >Visitor computing the sum of all the coefficients of the Array
STK::range_errorThrown to indicate range errors in internal computations
STK::ReadWritePagesAllow to handle a file of option containing pages
STK::hidden::resizeSelector< Lhs, Rhs, TStructure_ >2D general case
STK::hidden::resizeSelector< Lhs, Rhs, Arrays::diagonal_ >Specialization for the diagonal_ case
STK::hidden::resizeSelector< Lhs, Rhs, Arrays::point_ >Specialization for the point_ case
STK::hidden::resizeSelector< Lhs, Rhs, Arrays::vector_ >Specialization for the vector_ case
STK::hidden::result_of< T >Convenient struct to get the result Type of a unary or binary functor (taken from Eigen)
STK::hidden::result_of< Func(ArgType)>
STK::hidden::result_of< Func(Type1, Type2)>
STK::hidden::RowVisitor< Visitor, Derived, Unroll1_, Unroll2_ >Specialization for the arrays with 1 row (Point)
STK::hidden::RowVisitor< Visitor, Derived, UnknownSize, 1 >Specialization for the arrays with 1 column
STK::hidden::RowVisitor< Visitor, Derived, UnknownSize, Unroll2_ >Specialization for the arrays with 1 row (Point)
STK::hidden::RowVisitor< Visitor, Derived, Unroll1_, 1 >Specialization for the arrays with 1 column
STK::runtime_errorRuntime errors represent problems outside the scope of a program; they cannot be easily predicted and can generally only be caught as the program executes
STK::SinOp< Type >Template functor which compute the sine of a number
STK::SqrtOp< Type >Template functor which compute the square root of a number
STK::SquareOp< Type >Template functor which compute the square of a number
STK::StaticAssert< false >
STK::StaticAssert< true >
STK::StatisticalModel< Data >Base class for all Statistical Models [Deprecated], have been replaced by IStatModel
STK::StructuredCAllocator< Derived, Structure_, Orient_ >Base class for the general Structure case
STK::StructuredCAllocator< Derived, Arrays::diagonal_, Orient_ >Specialization for the diagonal_ case (TODO)
STK::StructuredCAllocator< Derived, Arrays::number_, Orient_ >Specialization for the number_ case
STK::StructuredCAllocator< Derived, Arrays::point_, Orient_ >Specialization for the point_ case
STK::StructuredCAllocator< Derived, Arrays::vector_, Orient_ >Specialization for the vector_ case
STK::Arrays::SumOp< Lhs, Rhs >Matrix sum (by coefficient) Perform the matrix sum coefficient by coefficient of the Matrix lhs by the Matrix rhs
STK::SumOp< Type1, Type2 >Template functor which compute the sum of two numbers
STK::hidden::SumVisitor< Type >Visitor computing the sum of all the coefficients of the Array
STK::SvdThe class Svd compute the Singular Value Decomposition of a Matrix with the Golub-Reinsch Algorithm
STK::TanOp< Type >Template functor which compute the tan of a number
STK::TContainer2D< SizeRows_, SizeCols_ >Interface class for 2D containers
STK::TestEndOfLineOpTemplate functor testing if a Char is an end of line
STK::hidden::Traits< Array1D< _TYPE > >Specialization of the Traits class for Array1D class
STK::hidden::Traits< Array2D< _Type > >Specialization of the Traits class for the Array2D class
STK::hidden::Traits< Array2DDiagonal< _Type > >Specialization of the Traits class for the Array2DDiagonal class
STK::hidden::Traits< Array2DLowerTriangular< _Type > >Specialization of the Traits class for the Array2DLowerTriangular class
STK::hidden::Traits< Array2DPoint< _Type > >Specialization of the Traits class for Array2DPoint class
STK::hidden::Traits< Array2DSquare< _Type > >Specialization of the Traits class for the Array2DSquare class
STK::hidden::Traits< Array2DUpperTriangular< _Type > >Specialization of the Traits class for the Array2DUpperTriangular class
STK::hidden::Traits< Array2DVector< _Type > >Specialization of the Traits class for the Array2DVector class
STK::hidden::Traits< BinaryOperator< BinaryOp, Lhs, Rhs > >Traits class for the BinaryOperator
STK::hidden::Traits< CAllocator< Scalar, Structure_, SizeRows_, SizeCols_, Orient_ > >Specialization of the Traits class for CAllocator
STK::hidden::Traits< CArray< Scalar, Structure_, SizeRows_, SizeCols_, Orient_ > >Specialization of the Traits class for CArray class
STK::hidden::Traits< DiagonalByMatrixProduct< Lhs, Rhs > >Traits class for the BinaryOperator
STK::hidden::Traits< DotProduct< Lhs, Rhs > >Traits class for the DotProduct class
STK::hidden::Traits< List1D< _TYPE > >Specialization of the Traits class for List1D class
STK::hidden::Traits< MatrixByDiagonalProduct< Lhs, Rhs > >Traits class for the BinaryOperator
STK::hidden::Traits< MatrixByMatrixProduct< Lhs, Rhs > >Traits class for the MatrixByMatrixProduct class
STK::hidden::Traits< MatrixByVectorProduct< Lhs, Rhs > >Traits class for the BinaryOperator
STK::hidden::Traits< PointByMatrixProduct< Lhs, Rhs > >Traits class for the BinaryOperator
STK::hidden::Traits< UnaryOperator< UnaryOp, Rhs > >Traits class for the unary operators
STK::hidden::Traits< Variable< _TYPE > >Specialization of the Traits class Traits for Array2DVector class
STK::TRange< Size_ >Index sub-vector region
STK::TRange< UnknownSize >Index sub-vector region: Specialization when the size is unknown
STK::TReadWriteCsv< Type >TReadWriteCsv class : allow to write and/or to read a csv file
STK::TRef< 0 >
STK::TRef< 1 >
STK::TRef<-1 >
STK::hidden::TrueType
STK::hidden::TStructure< Arrays::diagonal_ >Specialisation for diagonal_
STK::hidden::TStructure< Arrays::general_ >Specialisation for general_
STK::hidden::TStructure< Arrays::lower_triangular_ >Specialisation for lower_triangular_
STK::hidden::TStructure< Arrays::number_ >Specialisation for number_
STK::hidden::TStructure< Arrays::point_ >Specialisation for point_
STK::hidden::TStructure< Arrays::square_ >Specialisation for square_
STK::hidden::TStructure< Arrays::upper_triangular_ >Specialisation for upper_triangular_
STK::hidden::TStructure< Arrays::vector_ >Specialisation for vector_
STK::hidden::unary_result_of_select< Func, ArgType, SizeOf >
STK::hidden::unary_result_of_select< Func, ArgType, sizeof(has_std_result_type)>
STK::hidden::unary_result_of_select< Func, ArgType, sizeof(has_tr1_result)>
STK::UnaryOperator< UnaryOp, Rhs >Generic expression when unary operator is applied to an expression
STK::UnaryOperatorBase< UnaryOp, Rhs >Implement the access to the elements in the (2D) general case
STK::underflow_errorThrown to indicate arithmetic underflow
STK::Stat::Univariate< TYPE, TContainer1D >Computation of the univariate Statistics of a Variable
STK::Stat::Univariate< Real, TContainer1D >Computation of the univariate Statistics of a Real Variable
STK::hidden::UsedFunctor< Functor, 1 >
STK::hidden::UsedFunctor< Functor, 2 >
STK::hidden::ValueVisitor< Type >Visitor putting a constant value
STK::Variable< Type >Variable is an implementation of the Base class IVariable using The Array1D class for storing the data
STK::hidden::vb< Lhs, Rhs, Result >Methods to use for C=AB with A a point and B a matrix
STK::hidden::Visitor2D< Visitor, Derived, Arrays::by_col_ >Specialization for the general case with column oriented arrays
STK::hidden::Visitor2D< Visitor, Derived, Arrays::by_row_ >Specialization for the general case with row oriented arrays
STK::hidden::VisitorDiagonal< Visitor, Derived >Specialization for the general case with column oriented arrays
STK::hidden::VisitorLower< Visitor, Derived, Arrays::by_col_ >Specialization for the general case with column oriented arrays
STK::hidden::VisitorLower< Visitor, Derived, Arrays::by_row_ >Specialization for the general case with row oriented arrays
STK::hidden::VisitorPoint< Visitor, Derived >Specialization for the general case with column oriented arrays
STK::hidden::VisitorType< Visitor, Derived, Structure_, SizeRows_, SizeCols_ >General visitor
STK::hidden::VisitorType< Visitor, Derived, Arrays::diagonal_, SizeRows_, SizeCols_ >Specialization for the diagonal arrays
STK::hidden::VisitorType< Visitor, Derived, Arrays::lower_triangular_, SizeRows_, SizeCols_ >Specialization for the lower triangular arrays
STK::hidden::VisitorType< Visitor, Derived, Arrays::point_, SizeRows_, SizeCols_ >Specialization for the diagonal arrays
STK::hidden::VisitorType< Visitor, Derived, Arrays::upper_triangular_, SizeRows_, SizeCols_ >Specialization for the upper triangular arrays
STK::hidden::VisitorType< Visitor, Derived, Arrays::vector_, SizeRows_, SizeCols_ >Specialization for the diagonal arrays
STK::hidden::VisitorUpper< Visitor, Derived, Arrays::by_col_ >Specialization for the general case with column oriented arrays
STK::hidden::VisitorUpper< Visitor, Derived, Arrays::by_row_ >Specialization for the general case with row oriented arrays
STK::hidden::VisitorVector< Visitor, Derived >Specialization for the general case with column oriented arrays