Core module

This is the main module of Eigen providing dense matrix and vector support (both fixed and dynamic size) with all the features corresponding to a BLAS library and much more... More...

Modules
	Global array typedefs
	Eigen defines several typedef shortcuts for most common 1D and 2D array types.
	Flags
	These are the possible bits which can be OR'ed to constitute the flags of a matrix or expression.
	Enumerations
	Various enumerations used in Eigen.
	Global matrix typedefs
	Eigen defines several typedef shortcuts for most common matrix and vector types.

Namespaces
namespace	Eigen::indexing
	The sole purpose of this namespace is to be able to import all functions and symbols that are expected to be used within operator() for indexing and slicing.
namespace	Eigen::symbolic
	This namespace defines a set of classes and functions to build and evaluate symbolic expressions of scalar type Index.

Classes
class	Eigen::TriangularViewImpl< _MatrixType, _Mode, Dense >
	Base class for a triangular part in a dense matrix. More...
class	Eigen::MapBase< Derived, ReadOnlyAccessors >
	Base class for dense Map and Block expression with direct access. More...
class	Eigen::MapBase< Derived, WriteAccessors >
	Base class for non-const dense Map and Block expression with direct access. More...
class	Eigen::DenseCoeffsBase< Derived, ReadOnlyAccessors >
	Base class providing read-only coefficient access to matrices and arrays. More...
class	Eigen::DenseCoeffsBase< Derived, WriteAccessors >
	Base class providing read/write coefficient access to matrices and arrays. More...
class	Eigen::DenseCoeffsBase< Derived, DirectAccessors >
	Base class providing direct read-only coefficient access to matrices and arrays. More...
class	Eigen::DenseCoeffsBase< Derived, DirectWriteAccessors >
	Base class providing direct read/write coefficient access to matrices and arrays. More...
class	Eigen::MatrixBase< Derived >
	Base class for all dense matrices, vectors, and expressions. More...
class	Eigen::Diagonal< MatrixType, _DiagIndex >
	Expression of a diagonal/subdiagonal/superdiagonal in a matrix. More...
class	Eigen::CwiseNullaryOp< NullaryOp, PlainObjectType >
	Generic expression of a matrix where all coefficients are defined by a functor. More...
class	Eigen::DenseBase< Derived >
	Base class for all dense matrices, vectors, and arrays. More...
class	Eigen::VectorBlock< VectorType, Size >
	Expression of a fixed-size or dynamic-size sub-vector. More...
class	Eigen::ReturnByValue< Derived >
class	Eigen::DiagonalMatrix< _Scalar, SizeAtCompileTime, MaxSizeAtCompileTime >
	Represents a diagonal matrix with its storage. More...
class	Eigen::DiagonalWrapper< _DiagonalVectorType >
	Expression of a diagonal matrix. More...
class	Eigen::CwiseTernaryOp< TernaryOp, Arg1Type, Arg2Type, Arg3Type >
	Generic expression where a coefficient-wise ternary operator is applied to two expressions. More...
class	Eigen::Replicate< MatrixType, RowFactor, ColFactor >
	Expression of the multiple replication of a matrix or vector. More...
class	Eigen::IndexedView< XprType, RowIndices, ColIndices >
	Expression of a non-sequential sub-matrix defined by arbitrary sequences of row and column indices. More...
class	Eigen::PermutationBase< Derived >
	Base class for permutations. More...
class	Eigen::PermutationMatrix< SizeAtCompileTime, MaxSizeAtCompileTime, _StorageIndex >
	Permutation matrix. More...
class	Eigen::PermutationWrapper< _IndicesType >
	Class to view a vector of integers as a permutation matrix. More...
class	Eigen::Transpositions< SizeAtCompileTime, MaxSizeAtCompileTime, _StorageIndex >
	Represents a sequence of transpositions (row/column interchange) More...
class	Eigen::CommaInitializer< XprType >
	Helper class used by the comma initializer operator. More...
class	Eigen::NoAlias< ExpressionType, StorageBase >
	Pseudo expression providing an operator = assuming no aliasing. More...
class	Eigen::ArithmeticSequence< FirstType, SizeType, IncrType >
	This class represents an arithmetic progression \( a_0, a_1, a_2, ..., a_{n-1}\) defined by its first value \( a_0 \), its size (aka length) n, and the increment (aka stride) that is equal to \( a_{i+1}-a_{i}\) for any i. More...
class	Eigen::Product< _Lhs, _Rhs, Option >
	Expression of the product of two arbitrary matrices or vectors. More...
class	Eigen::Ref< PlainObjectType, Options, StrideType >
	A matrix or vector expression mapping an existing expression. More...
class	Eigen::TriangularBase< Derived >
	Base class for triangular part in a matrix. More...
class	Eigen::TriangularView< _MatrixType, _Mode >
	Expression of a triangular part in a matrix. More...
class	Eigen::Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols >
	General-purpose arrays with easy API for coefficient-wise operations. More...
class	Eigen::Select< ConditionMatrixType, ThenMatrixType, ElseMatrixType >
	Expression of a coefficient wise version of the C++ ternary operator ?: More...
class	Eigen::ArrayWrapper< ExpressionType >
	Expression of a mathematical vector or matrix as an array object. More...
class	Eigen::MatrixWrapper< ExpressionType >
	Expression of an array as a mathematical vector or matrix. More...
class	Eigen::SelfAdjointView< _MatrixType, UpLo >
	Expression of a selfadjoint matrix from a triangular part of a dense matrix. More...
class	Eigen::Solve< Decomposition, RhsType >
	Pseudo expression representing a solving operation. More...
class	Eigen::CwiseUnaryView< ViewOp, MatrixType >
	Generic lvalue expression of a coefficient-wise unary operator of a matrix or a vector. More...
class	Eigen::CwiseBinaryOp< BinaryOp, LhsType, RhsType >
	Generic expression where a coefficient-wise binary operator is applied to two expressions. More...
class	Eigen::PartialReduxExpr< MatrixType, MemberOp, Direction >
	Generic expression of a partially reduxed matrix. More...
class	Eigen::VectorwiseOp< ExpressionType, Direction >
	Pseudo expression providing broadcasting and partial reduction operations. More...
class	Eigen::symbolic::BaseExpr< Derived >
	Common base class of any symbolic expressions. More...
class	Eigen::ScalarBinaryOpTraits< ScalarA, ScalarB, BinaryOp >
	Determines whether the given binary operation of two numeric types is allowed and what the scalar return type is. More...
class	Eigen::aligned_allocator< T >
	STL compatible allocator to use with types requiring a non standrad alignment. More...
class	Eigen::CwiseUnaryOp< UnaryOp, XprType >
	Generic expression where a coefficient-wise unary operator is applied to an expression. More...
class	Eigen::internal::BandMatrix< _Scalar, Rows, Cols, Supers, Subs, Options >
	Represents a rectangular matrix with a banded storage. More...
class	Eigen::internal::TridiagonalMatrix< Scalar, Size, Options >
	Represents a tridiagonal matrix with a compact banded storage. More...
class	Eigen::NumTraits< T >
	Holds information about the various numeric (i.e. More...
class	Eigen::Reverse< MatrixType, Direction >
	Expression of the reverse of a vector or matrix. More...
class	Eigen::Map< PlainObjectType, MapOptions, StrideType >
	A matrix or vector expression mapping an existing array of data. More...
class	Eigen::EigenBase< Derived >
	Common base class for all classes T such that MatrixBase has an operator=(T) and a constructor MatrixBase(T). More...
class	Eigen::ForceAlignedAccess< ExpressionType >
	Enforce aligned packet loads and stores regardless of what is requested. More...
class	Eigen::Block< XprType, BlockRows, BlockCols, InnerPanel >
	Expression of a fixed-size or dynamic-size block. More...
class	Eigen::ArrayBase< Derived >
	Base class for all 1D and 2D array, and related expressions. More...
class	Eigen::Transpose< MatrixType >
	Expression of the transpose of a matrix. More...
class	Eigen::Stride< _OuterStrideAtCompileTime, _InnerStrideAtCompileTime >
	Holds strides information for Map. More...
class	Eigen::Reshaped< XprType, Rows, Cols, Order >
	Expression of a fixed-size or dynamic-size reshape. More...
class	Eigen::NestByValue< ExpressionType >
	Expression which must be nested by value. More...
class	Eigen::Matrix< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols >
	The matrix class, also used for vectors and row-vectors. More...
class	Eigen::IOFormat
	Stores a set of parameters controlling the way matrices are printed. More...
class	Eigen::WithFormat< ExpressionType >
	Pseudo expression providing matrix output with given format. More...

Variables
static const symbolic::SymbolExpr< internal::symbolic_last_tag >	Eigen::last
	Can be used as a parameter to Eigen::seq and Eigen::seqN functions to symbolically reference the last element/row/columns of the underlying vector or matrix once passed to DenseBase::operator()(const RowIndices&, const ColIndices&). More...
static const Eigen::internal::all_t	Eigen::all
	Can be used as a parameter to DenseBase::operator()(const RowIndices&, const ColIndices&) to index all rows or columns. More...

Detailed Description

This is the main module of Eigen providing dense matrix and vector support (both fixed and dynamic size) with all the features corresponding to a BLAS library and much more...

#include <Eigen/Core>

Variable Documentation

all

Eigen::all

static

Can be used as a parameter to DenseBase::operator()(const RowIndices&, const ColIndices&) to index all rows or columns.

last

Eigen::last

static

Can be used as a parameter to Eigen::seq and Eigen::seqN functions to symbolically reference the last element/row/columns of the underlying vector or matrix once passed to DenseBase::operator()(const RowIndices&, const ColIndices&).

This symbolic placeholder supports standard arithmetic operations.

A typical usage example would be:

using namespace Eigen;
using Eigen::last;
VectorXd v(n);
v(seq(2,last-2)).setOnes();

See also

end