Eigen Namespace Reference

Namespace containing all symbols from the Eigen library. More...

Namespaces
namespace	internal
Classes
class	aligned_allocator
	STL compatible allocator to use with with 16 byte aligned types. More...
class	AlignedBox
	An axis aligned box. More...
class	AlignedVector3
class	AngleAxis
	Represents a 3D rotation as a rotation angle around an arbitrary 3D axis. More...
class	Array
	General-purpose arrays with easy API for coefficient-wise operations. More...
class	ArrayBase
	Base class for all 1D and 2D array, and related expressions. More...
class	ArrayWrapper
	Expression of a mathematical vector or matrix as an array object. More...
struct	ArrayXpr
class	Block
	Expression of a fixed-size or dynamic-size block. More...
class	CholmodDecomposition
class	ColPivHouseholderQR
	Householder rank-revealing QR decomposition of a matrix with column-pivoting. More...
class	CommaInitializer
	Helper class used by the comma initializer operator. More...
class	ComplexEigenSolver
	Computes eigenvalues and eigenvectors of general complex matrices. More...
class	ComplexSchur
	Performs a complex Schur decomposition of a real or complex square matrix. More...
class	CompressedStorage
class	Cwise
	Pseudo expression providing additional coefficient-wise operations. More...
class	CwiseBinaryOp
	Generic expression where a coefficient-wise binary operator is applied to two expressions. More...
class	CwiseNullaryOp
	Generic expression of a matrix where all coefficients are defined by a functor. More...
class	CwiseUnaryOp
	Generic expression where a coefficient-wise unary operator is applied to an expression. More...
class	CwiseUnaryView
	Generic lvalue expression of a coefficient-wise unary operator of a matrix or a vector. More...
struct	Dense
class	DenseBase
	Base class for all dense matrices, vectors, and arrays. More...
class	DenseCoeffsBase< Derived, DirectAccessors >
	Base class providing direct read-only coefficient access to matrices and arrays. More...
class	DenseCoeffsBase< Derived, DirectWriteAccessors >
	Base class providing direct read/write coefficient access to matrices and arrays. More...
class	DenseCoeffsBase< Derived, ReadOnlyAccessors >
	Base class providing read-only coefficient access to matrices and arrays. More...
class	DenseCoeffsBase< Derived, WriteAccessors >
	Base class providing read/write coefficient access to matrices and arrays. More...
class	Diagonal
	Expression of a diagonal/subdiagonal/superdiagonal in a matrix. More...
class	DiagonalMatrix
	Represents a diagonal matrix with its storage. More...
class	DiagonalWrapper
	Expression of a diagonal matrix. More...
class	DynamicSparseMatrix
	A sparse matrix class designed for matrix assembly purpose. More...
struct	EigenBase
class	EigenSolver
	Computes eigenvalues and eigenvectors of general matrices. More...
class	Flagged
	Expression with modified flags. More...
class	ForceAlignedAccess
	Enforce aligned packet loads and stores regardless of what is requested. More...
class	FullPivHouseholderQR
	Householder rank-revealing QR decomposition of a matrix with full pivoting. More...
class	FullPivLU
	LU decomposition of a matrix with complete pivoting, and related features. More...
class	GeneralizedSelfAdjointEigenSolver
	Computes eigenvalues and eigenvectors of the generalized selfadjoint eigen problem. More...
class	HessenbergDecomposition
	Reduces a square matrix to Hessenberg form by an orthogonal similarity transformation. More...
class	Homogeneous
	Expression of one (or a set of) homogeneous vector(s) More...
class	HouseholderQR
	Householder QR decomposition of a matrix. More...
class	HouseholderSequence
	Sequence of Householder reflections acting on subspaces with decreasing size. More...
class	HybridNonLinearSolver
class	Hyperplane
	A hyperplane. More...
class	InnerStride
	Convenience specialization of Stride to specify only an inner stride See class Map for some examples. More...
class	IOFormat
	Stores a set of parameters controlling the way matrices are printed. More...
class	IterationController
class	JacobiRotation
	Rotation given by a cosine-sine pair. More...
class	JacobiSVD
	Two-sided Jacobi SVD decomposition of a rectangular matrix. More...
class	KdBVH
class	LDLT
	Robust Cholesky decomposition of a matrix with pivoting. More...
class	LevenbergMarquardt
class	LLT
	Standard Cholesky decomposition (LL^T) of a matrix and associated features. More...
class	Map
	A matrix or vector expression mapping an existing array of data. More...
class	Map< const Quaternion< _Scalar >, _Options >
	Quaternion expression mapping a constant memory buffer. More...
class	Map< Quaternion< _Scalar >, _Options >
	Expression of a quaternion from a memory buffer. More...
class	MappedSparseMatrix
	Sparse matrix. More...
class	Matrix
	The matrix class, also used for vectors and row-vectors. More...
class	MatrixBase
	Base class for all dense matrices, vectors, and expressions. More...
class	MatrixExponential
struct	MatrixExponentialReturnValue
class	MatrixFunction
class	MatrixFunction< MatrixType, 0 >
class	MatrixFunction< MatrixType, 1 >
class	MatrixFunctionAtomic
class	MatrixFunctionReturnValue
class	MatrixWrapper
	Expression of an array as a mathematical vector or matrix. More...
struct	MatrixXpr
class	Minor
	Expression of a minor. More...
class	NestByValue
	Expression which must be nested by value. More...
class	NoAlias
	Pseudo expression providing an operator = assuming no aliasing. More...
class	NumericalDiff
class	NumTraits
	Holds information about the various numeric (i.e. scalar) types allowed by Eigen. More...
class	OuterStride
	Convenience specialization of Stride to specify only an outer stride See class Map for some examples. More...
class	ParametrizedLine
	A parametrized line. More...
class	PartialPivLU
	LU decomposition of a matrix with partial pivoting, and related features. More...
class	PartialReduxExpr
	Generic expression of a partially reduxed matrix. More...
class	PermutationBase
	Base class for permutations. More...
class	PermutationMatrix
	Permutation matrix. More...
class	PermutationWrapper
	Class to view a vector of integers as a permutation matrix. More...
class	PlainObjectBase
	Dense storage base class for matrices and arrays. More...
class	ProductReturnType
	Helper class to get the correct and optimized returned type of operator*. More...
class	Quaternion
	The quaternion class used to represent 3D orientations and rotations. More...
class	RandomSetter
class	RealSchur
	Performs a real Schur decomposition of a square matrix. More...
class	Replicate
	Expression of the multiple replication of a matrix or vector. More...
class	Reverse
	Expression of the reverse of a vector or matrix. More...
class	Rotation2D
	Represents a rotation/orientation in a 2 dimensional space. More...
class	RotationBase
	Common base class for compact rotation representations. More...
class	Select
	Expression of a coefficient wise version of the C++ ternary operator ?: More...
class	SelfAdjointEigenSolver
	Computes eigenvalues and eigenvectors of selfadjoint matrices. More...
class	SelfAdjointView
	Expression of a selfadjoint matrix from a triangular part of a dense matrix. More...
class	SimplicialCholesky
class	SkylineInplaceLU
class	SkylineMatrix
class	SkylineMatrixBase
class	SkylineStorage
struct	Sparse
class	SparseLDLT
class	SparseLLT
class	SparseLU
class	SparseMatrix
	The main sparse matrix class. More...
class	SparseMatrixBase
	Base class of any sparse matrices or sparse expressions. More...
class	SparseSelfAdjointView
	Pseudo expression to manipulate a triangular sparse matrix as a selfadjoint matrix. More...
class	SparseVector
	a sparse vector class More...
struct	StdMapTraits
class	StdStemFunctions
class	Stride
	Holds strides information for Map. More...
class	Transform
	Represents an homogeneous transformation in a N dimensional space. More...
class	Translation
	Represents a translation transformation. More...
class	Transpose
	Expression of the transpose of a matrix. More...
class	Transpositions
	Represents a sequence of transpositions (row/column interchange) More...
class	TriangularView
	Base class for triangular part in a matrix. More...
class	Tridiagonalization
	Tridiagonal decomposition of a selfadjoint matrix. More...
class	VectorBlock
	Expression of a fixed-size or dynamic-size sub-vector. More...
class	VectorwiseOp
	Pseudo expression providing partial reduction operations. More...
class	WithFormat
	Pseudo expression providing matrix output with given format. More...
Typedefs
typedef Transform< double, 2, Affine >	Affine2d
typedef Transform< float, 2, Affine >	Affine2f
typedef Transform< double, 3, Affine >	Affine3d
typedef Transform< float, 3, Affine >	Affine3f
typedef Transform< double, 2, AffineCompact >	AffineCompact2d
typedef Transform< float, 2, AffineCompact >	AffineCompact2f
typedef Transform< double, 3, AffineCompact >	AffineCompact3d
typedef Transform< float, 3, AffineCompact >	AffineCompact3f
typedef DiagonalMatrix< double, 2 >	AlignedScaling2d
typedef DiagonalMatrix< float, 2 >	AlignedScaling2f
typedef DiagonalMatrix< double, 3 >	AlignedScaling3d
typedef DiagonalMatrix< float, 3 >	AlignedScaling3f
typedef AngleAxis< double >	AngleAxisd
typedef AngleAxis< float >	AngleAxisf
typedef Transform< double, 2, Isometry >	Isometry2d
typedef Transform< float, 2, Isometry >	Isometry2f
typedef Transform< double, 3, Isometry >	Isometry3d
typedef Transform< float, 3, Isometry >	Isometry3f
typedef Matrix< std::complex < double >, 2, 2 >	Matrix2cd
typedef Matrix< std::complex < float >, 2, 2 >	Matrix2cf
typedef Matrix< double, 2, 2 >	Matrix2d
typedef Matrix< float, 2, 2 >	Matrix2f
typedef Matrix< int, 2, 2 >	Matrix2i
typedef Matrix< std::complex < double >, 2, Dynamic >	Matrix2Xcd
typedef Matrix< std::complex < float >, 2, Dynamic >	Matrix2Xcf
typedef Matrix< double, 2, Dynamic >	Matrix2Xd
typedef Matrix< float, 2, Dynamic >	Matrix2Xf
typedef Matrix< int, 2, Dynamic >	Matrix2Xi
typedef Matrix< std::complex < double >, 3, 3 >	Matrix3cd
typedef Matrix< std::complex < float >, 3, 3 >	Matrix3cf
typedef Matrix< double, 3, 3 >	Matrix3d
typedef Matrix< float, 3, 3 >	Matrix3f
typedef Matrix< int, 3, 3 >	Matrix3i
typedef Matrix< std::complex < double >, 3, Dynamic >	Matrix3Xcd
typedef Matrix< std::complex < float >, 3, Dynamic >	Matrix3Xcf
typedef Matrix< double, 3, Dynamic >	Matrix3Xd
typedef Matrix< float, 3, Dynamic >	Matrix3Xf
typedef Matrix< int, 3, Dynamic >	Matrix3Xi
typedef Matrix< std::complex < double >, 4, 4 >	Matrix4cd
typedef Matrix< std::complex < float >, 4, 4 >	Matrix4cf
typedef Matrix< double, 4, 4 >	Matrix4d
typedef Matrix< float, 4, 4 >	Matrix4f
typedef Matrix< int, 4, 4 >	Matrix4i
typedef Matrix< std::complex < double >, 4, Dynamic >	Matrix4Xcd
typedef Matrix< std::complex < float >, 4, Dynamic >	Matrix4Xcf
typedef Matrix< double, 4, Dynamic >	Matrix4Xd
typedef Matrix< float, 4, Dynamic >	Matrix4Xf
typedef Matrix< int, 4, Dynamic >	Matrix4Xi
typedef Matrix< std::complex < double >, Dynamic, 2 >	MatrixX2cd
typedef Matrix< std::complex < float >, Dynamic, 2 >	MatrixX2cf
typedef Matrix< double, Dynamic, 2 >	MatrixX2d
typedef Matrix< float, Dynamic, 2 >	MatrixX2f
typedef Matrix< int, Dynamic, 2 >	MatrixX2i
typedef Matrix< std::complex < double >, Dynamic, 3 >	MatrixX3cd
typedef Matrix< std::complex < float >, Dynamic, 3 >	MatrixX3cf
typedef Matrix< double, Dynamic, 3 >	MatrixX3d
typedef Matrix< float, Dynamic, 3 >	MatrixX3f
typedef Matrix< int, Dynamic, 3 >	MatrixX3i
typedef Matrix< std::complex < double >, Dynamic, 4 >	MatrixX4cd
typedef Matrix< std::complex < float >, Dynamic, 4 >	MatrixX4cf
typedef Matrix< double, Dynamic, 4 >	MatrixX4d
typedef Matrix< float, Dynamic, 4 >	MatrixX4f
typedef Matrix< int, Dynamic, 4 >	MatrixX4i
typedef Matrix< std::complex < double >, Dynamic, Dynamic >	MatrixXcd
typedef Matrix< std::complex < float >, Dynamic, Dynamic >	MatrixXcf
typedef Matrix< double, Dynamic, Dynamic >	MatrixXd
typedef Matrix< float, Dynamic, Dynamic >	MatrixXf
typedef Matrix< int, Dynamic, Dynamic >	MatrixXi
typedef Transform< double, 2, Projective >	Projective2d
typedef Transform< float, 2, Projective >	Projective2f
typedef Transform< double, 3, Projective >	Projective3d
typedef Transform< float, 3, Projective >	Projective3f
typedef Quaternion< double >	Quaterniond
typedef Quaternion< float >	Quaternionf
typedef Map< Quaternion < double >, Aligned >	QuaternionMapAlignedd
typedef Map< Quaternion< float > , Aligned >	QuaternionMapAlignedf
typedef Map< Quaternion < double >, 0 >	QuaternionMapd
typedef Map< Quaternion< float >, 0 >	QuaternionMapf
typedef Rotation2D< double >	Rotation2Dd
typedef Rotation2D< float >	Rotation2Df
typedef Matrix< std::complex < double >, 1, 2 >	RowVector2cd
typedef Matrix< std::complex < float >, 1, 2 >	RowVector2cf
typedef Matrix< double, 1, 2 >	RowVector2d
typedef Matrix< float, 1, 2 >	RowVector2f
typedef Matrix< int, 1, 2 >	RowVector2i
typedef Matrix< std::complex < double >, 1, 3 >	RowVector3cd
typedef Matrix< std::complex < float >, 1, 3 >	RowVector3cf
typedef Matrix< double, 1, 3 >	RowVector3d
typedef Matrix< float, 1, 3 >	RowVector3f
typedef Matrix< int, 1, 3 >	RowVector3i
typedef Matrix< std::complex < double >, 1, 4 >	RowVector4cd
typedef Matrix< std::complex < float >, 1, 4 >	RowVector4cf
typedef Matrix< double, 1, 4 >	RowVector4d
typedef Matrix< float, 1, 4 >	RowVector4f
typedef Matrix< int, 1, 4 >	RowVector4i
typedef Matrix< std::complex < double >, 1, Dynamic >	RowVectorXcd
typedef Matrix< std::complex < float >, 1, Dynamic >	RowVectorXcf
typedef Matrix< double, 1, Dynamic >	RowVectorXd
typedef Matrix< float, 1, Dynamic >	RowVectorXf
typedef Matrix< int, 1, Dynamic >	RowVectorXi
typedef Matrix< std::complex < double >, 2, 1 >	Vector2cd
typedef Matrix< std::complex < float >, 2, 1 >	Vector2cf
typedef Matrix< double, 2, 1 >	Vector2d
typedef Matrix< float, 2, 1 >	Vector2f
typedef Matrix< int, 2, 1 >	Vector2i
typedef Matrix< std::complex < double >, 3, 1 >	Vector3cd
typedef Matrix< std::complex < float >, 3, 1 >	Vector3cf
typedef Matrix< double, 3, 1 >	Vector3d
typedef Matrix< float, 3, 1 >	Vector3f
typedef Matrix< int, 3, 1 >	Vector3i
typedef Matrix< std::complex < double >, 4, 1 >	Vector4cd
typedef Matrix< std::complex < float >, 4, 1 >	Vector4cf
typedef Matrix< double, 4, 1 >	Vector4d
typedef Matrix< float, 4, 1 >	Vector4f
typedef Matrix< int, 4, 1 >	Vector4i
typedef Matrix< std::complex < double >, Dynamic, 1 >	VectorXcd
typedef Matrix< std::complex < float >, Dynamic, 1 >	VectorXcf
typedef Matrix< double, Dynamic, 1 >	VectorXd
typedef Matrix< float, Dynamic, 1 >	VectorXf
typedef Matrix< int, Dynamic, 1 >	VectorXi
Enumerations
enum	{   Lower,   Upper,   UnitDiag,   ZeroDiag,   UnitLower,   UnitUpper,   StrictlyLower,   StrictlyUpper,   SelfAdjoint }
enum	{   Unaligned,   Aligned }
enum	{   ColMajor,   RowMajor }
enum	{   OnTheLeft,   OnTheRight }
enum	AccessorLevels {   ReadOnlyAccessors,   WriteAccessors,   DirectAccessors,   DirectWriteAccessors }
enum	ComputationInfo {   Success,   NumericalIssue,   NoConvergence }
enum	CornerType
enum	DecompositionOptions { ,   ComputeFullU,   ComputeThinU,   ComputeFullV,   ComputeThinV,   EigenvaluesOnly,   ComputeEigenvectors ,   Ax_lBx,   ABx_lx,   BAx_lx }
enum	DirectionType {   Vertical,   Horizontal,   BothDirections }
enum	QRPreconditioners {   NoQRPreconditioner,   HouseholderQRPreconditioner,   ColPivHouseholderQRPreconditioner,   FullPivHouseholderQRPreconditioner }
enum	TransformTraits {   Isometry,   Affine,   AffineCompact,   Projective }
Functions
template<typename ExpressionType >
const	EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE (std::less) Cwise< ExpressionType >
template<typename ExpressionType >
const	EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE (std::less_equal) Cwise< ExpressionType >
template<typename ExpressionType >
const	EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE (std::greater) Cwise< ExpressionType >
template<typename ExpressionType >
const	EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE (std::greater_equal) Cwise< ExpressionType >
template<typename ExpressionType >
const	EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE (std::equal_to) Cwise< ExpressionType >
template<typename ExpressionType >
const	EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE (std::not_equal_to) Cwise< ExpressionType >
template<typename OtherDerived >
const	EIGEN_CWISE_PRODUCT_RETURN_TYPE (ExpressionType, OtherDerived) Cwise< ExpressionType >
template<typename VectorsType , typename CoeffsType >
HouseholderSequence < VectorsType, CoeffsType >	householderSequence (const VectorsType &v, const CoeffsType &h)
	Convenience function for constructing a Householder sequence.
std::ptrdiff_t	l1CacheSize ()
std::ptrdiff_t	l2CacheSize ()
template<typename Derived , typename TranspositionsDerived >
const internal::transposition_matrix_product_retval < TranspositionsDerived, Derived, OnTheRight >	operator* (const MatrixBase< Derived > &matrix, const TranspositionsBase< TranspositionsDerived > &transpositions)
template<typename Derived , typename TranspositionDerived >
const internal::transposition_matrix_product_retval < TranspositionDerived, Derived, OnTheLeft >	operator* (const TranspositionsBase< TranspositionDerived > &transpositions, const MatrixBase< Derived > &matrix)
template<typename OtherDerived , typename VectorsType , typename CoeffsType , int Side>
internal::matrix_type_times_scalar_type < typename VectorsType::Scalar, OtherDerived >::Type	operator* (const MatrixBase< OtherDerived > &other, const HouseholderSequence< VectorsType, CoeffsType, Side > &h)
	Computes the product of a matrix with a Householder sequence.
template<typename Derived , typename PermutationDerived >
const internal::permut_matrix_product_retval < PermutationDerived, Derived, OnTheRight >	operator* (const MatrixBase< Derived > &matrix, const PermutationBase< PermutationDerived > &permutation)
template<typename Derived , typename PermutationDerived >
const internal::permut_matrix_product_retval < PermutationDerived, Derived, OnTheLeft >	operator* (const PermutationBase< PermutationDerived > &permutation, const MatrixBase< Derived > &matrix)
template<typename VectorsType , typename CoeffsType >
HouseholderSequence < VectorsType, CoeffsType, OnTheRight >	rightHouseholderSequence (const VectorsType &v, const CoeffsType &h)
	Convenience function for constructing a Householder sequence.
void	setCpuCacheSizes (std::ptrdiff_t l1, std::ptrdiff_t l2)
template<typename Derived , typename OtherDerived >
internal::umeyama_transform_matrix_type < Derived, OtherDerived > ::type	umeyama (const MatrixBase< Derived > &src, const MatrixBase< OtherDerived > &dst, bool with_scaling=true)
	Returns the transformation between two point sets.
Variables
const unsigned int	ActualPacketAccessBit
const unsigned int	AlignedBit
const unsigned int	DirectAccessBit
const int	Dynamic
const unsigned int	EvalBeforeAssigningBit
const unsigned int	EvalBeforeNestingBit
const int	Infinity
const unsigned int	LinearAccessBit
const unsigned int	LvalueBit
const unsigned int	PacketAccessBit
const unsigned int	RowMajorBit

---

Detailed Description

Namespace containing all symbols from the Eigen library.

---

Enumeration Type Documentation

enum ComputationInfo

enums Enum for reporting the status of a computation.

Enumerator:

Success	Computation was successful.
NumericalIssue	The provided data did not satisfy the prerequisites.
NoConvergence	Iterative procedure did not converge.

---

Function Documentation

const Eigen::EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE

(

std::less

)

[inline]

const Eigen::EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE

(

std::less_equal

)

[inline]

const Eigen::EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE

(

std::greater

)

[inline]

const Eigen::EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE

(

std::greater_equal

)

[inline]

const Eigen::EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE

(

std::equal_to

)

[inline]

const Eigen::EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE

(

std::not_equal_to

)

[inline]

const Eigen::EIGEN_CWISE_PRODUCT_RETURN_TYPE	(	ExpressionType	,
		OtherDerived
	)		[inline]

std::ptrdiff_t Eigen::l1CacheSize

(

)

[inline]

Returns:

the currently set level 1 cpu cache size (in bytes) used to estimate the ideal blocking size parameters.

See also:

setCpuCacheSize

std::ptrdiff_t Eigen::l2CacheSize

(

)

[inline]

Returns:

the currently set level 2 cpu cache size (in bytes) used to estimate the ideal blocking size parameters.

See also:

setCpuCacheSize

const internal::transposition_matrix_product_retval<TranspositionsDerived, Derived, OnTheRight> Eigen::operator*	(	const MatrixBase< Derived > &	matrix,
		const TranspositionsBase< TranspositionsDerived > &	transpositions
	)		[inline]

Returns:

the matrix with the transpositions applied to the columns.

const internal::transposition_matrix_product_retval<TranspositionDerived, Derived, OnTheLeft> Eigen::operator*	(	const TranspositionsBase< TranspositionDerived > &	transpositions,
		const MatrixBase< Derived > &	matrix
	)		[inline]

Returns:

the matrix with the transpositions applied to the rows.

internal::matrix_type_times_scalar_type<typename VectorsType::Scalar,OtherDerived>::Type Eigen::operator*	(	const MatrixBase< OtherDerived > &	other,
		const HouseholderSequence< VectorsType, CoeffsType, Side > &	h
	)

Computes the product of a matrix with a Householder sequence.

Parameters:

[in]	other	Matrix being multiplied.
[in]	h	HouseholderSequence being multiplied.

Returns:

Expression object representing the product.

This function computes where is the matrix other and is the Householder sequence represented by h.

const internal::permut_matrix_product_retval<PermutationDerived, Derived, OnTheRight> Eigen::operator*	(	const MatrixBase< Derived > &	matrix,
		const PermutationBase< PermutationDerived > &	permutation
	)		[inline]

Returns:

the matrix with the permutation applied to the columns.

const internal::permut_matrix_product_retval<PermutationDerived, Derived, OnTheLeft> Eigen::operator*	(	const PermutationBase< PermutationDerived > &	permutation,
		const MatrixBase< Derived > &	matrix
	)		[inline]

Returns:

the matrix with the permutation applied to the rows.

void Eigen::setCpuCacheSizes	(	std::ptrdiff_t	l1,
		std::ptrdiff_t	l2
	)		[inline]

Set the cpu L1 and L2 cache sizes (in bytes). These values are use to adjust the size of the blocks for the algorithms working per blocks.

See also:

computeProductBlockingSizes

---

Variable Documentation

const int Dynamic

This value means that a quantity is not known at compile-time, and that instead the value is stored in some runtime variable.

Changing the value of Dynamic breaks the ABI, as Dynamic is often used as a template parameter for Matrix.

const int Infinity

This value means +Infinity; it is currently used only as the p parameter to MatrixBase::lpNorm<int>(). The value Infinity there means the L-infinity norm.