Eigen: Eigen Namespace Reference

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

Classes
class	aligned_allocator
	STL compatible allocator to use with types requiring a non standrad alignment. More...

class	AlignedBox
	An axis aligned box. More...

class	AMDOrdering

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	BDCSVD
	class Bidiagonal Divide and Conquer SVD More...

class	BiCGSTAB
	A bi conjugate gradient stabilized solver for sparse square problems. More...

class	Block
	Expression of a fixed-size or dynamic-size block. More...

class	BlockImpl< XprType, BlockRows, BlockCols, InnerPanel, Sparse >

class	CholmodBase
	The base class for the direct Cholesky factorization of Cholmod. More...

class	CholmodDecomposition
	A general Cholesky factorization and solver based on Cholmod. More...

class	CholmodSimplicialLDLT
	A simplicial direct Cholesky (LDLT) factorization and solver based on Cholmod. More...

class	CholmodSimplicialLLT
	A simplicial direct Cholesky (LLT) factorization and solver based on Cholmod. More...

class	CholmodSupernodalLLT
	A supernodal Cholesky (LLT) factorization and solver based on Cholmod. More...

class	COLAMDOrdering

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	CompleteOrthogonalDecomposition
	Complete orthogonal decomposition (COD) of a matrix. 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	ConjugateGradient
	A conjugate gradient solver for sparse (or dense) self-adjoint problems. 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	CwiseTernaryOp
	Generic expression where a coefficient-wise ternary operator is applied to two expressions. 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	Diagonal
	Expression of a diagonal/subdiagonal/superdiagonal in a matrix. More...

class	DiagonalMatrix
	Represents a diagonal matrix with its storage. More...

class	DiagonalPreconditioner
	A preconditioner based on the digonal entries. More...

class	DiagonalWrapper
	Expression of a diagonal matrix. More...

class	EigenBase

class	EigenSolver
	Computes eigenvalues and eigenvectors of general matrices. 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	GeneralizedEigenSolver
	Computes the generalized eigenvalues and eigenvectors of a pair of general matrices. 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	Hyperplane
	A hyperplane. More...

class	IdentityPreconditioner
	A naive preconditioner which approximates any matrix as the identity matrix. More...

class	IncompleteCholesky
	Modified Incomplete Cholesky with dual threshold. More...

class	IncompleteLUT
	Incomplete LU factorization with dual-threshold strategy. More...

class	InnerIterator
	An InnerIterator allows to loop over the element of any matrix expression. More...

class	InnerStride
	Convenience specialization of Stride to specify only an inner stride See class Map for some examples. More...

class	Inverse
	Expression of the inverse of another expression. More...

class	IOFormat
	Stores a set of parameters controlling the way matrices are printed. More...

class	IterativeSolverBase
	Base class for linear iterative solvers. More...

class	JacobiRotation
	Rotation given by a cosine-sine pair. More...

class	JacobiSVD
	Two-sided Jacobi SVD decomposition of a rectangular matrix. More...

class	LDLT
	Robust Cholesky decomposition of a matrix with pivoting. More...

class	LeastSquareDiagonalPreconditioner
	Jacobi preconditioner for LeastSquaresConjugateGradient. More...

class	LeastSquaresConjugateGradient
	A conjugate gradient solver for sparse (or dense) least-square problems. More...

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	Map< SparseMatrixType >
	Specialization of class Map for SparseMatrix-like storage. More...

class	MapBase< Derived, WriteAccessors >
	Base class for non-const dense Map and Block expression with direct access. 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	MatrixWrapper
	Expression of an array as a mathematical vector or matrix. More...

struct	MatrixXpr

class	MetisOrdering

class	NaturalOrdering

class	NestByValue
	Expression which must be nested by value. More...

class	NoAlias
	Pseudo expression providing an operator = assuming no aliasing. More...

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	PardisoLDLT
	A sparse direct Cholesky (LDLT) factorization and solver based on the PARDISO library. More...

class	PardisoLLT
	A sparse direct Cholesky (LLT) factorization and solver based on the PARDISO library. More...

class	PardisoLU
	A sparse direct LU factorization and solver based on the PARDISO library. 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	PastixLDLT
	A sparse direct supernodal Cholesky (LLT) factorization and solver based on the PaStiX library. More...

class	PastixLLT
	A sparse direct supernodal Cholesky (LLT) factorization and solver based on the PaStiX library. More...

class	PastixLU
	Interface to the PaStix solver. More...

class	PermutationBase
	Base class for permutations. More...

class	PermutationMatrix
	Permutation matrix. More...

struct	PermutationStorage

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	Product
	Expression of the product of two arbitrary matrices or vectors. More...

class	Quaternion
	The quaternion class used to represent 3D orientations and rotations. More...

class	QuaternionBase
	Base class for quaternion expressions. More...

class	RealQZ
	Performs a real QZ decomposition of a pair of square matrices. More...

class	RealSchur
	Performs a real Schur decomposition of a square matrix. More...

class	Ref
	A matrix or vector expression mapping an existing expression. More...

class	Ref< SparseMatrixType, Options >
	A sparse matrix expression referencing an existing sparse expression. More...

class	Ref< SparseVectorType >
	A sparse vector expression referencing an existing sparse vector expression. 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	ScalarBinaryOpTraits
	Determines whether the given binary operation of two numeric types is allowed and what the scalar return type is. 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	SimplicialCholeskyBase
	A base class for direct sparse Cholesky factorizations. More...

class	SimplicialLDLT
	A direct sparse LDLT Cholesky factorizations without square root. More...

class	SimplicialLLT
	A direct sparse LLT Cholesky factorizations. More...

class	Solve
	Pseudo expression representing a solving operation. More...

class	SolverBase
	A base class for matrix decomposition and solvers. More...

struct	SolverStorage

class	SolveWithGuess
	Pseudo expression representing a solving operation. More...

struct	Sparse

class	SparseCompressedBase
	Common base class for sparse [compressed]-{row\|column}-storage format. More...

class	SparseLU
	Sparse supernodal LU factorization for general matrices. More...

class	SparseMapBase< Derived, WriteAccessors >
	Common base class for writable Map and Ref instance of sparse matrix and vector. More...

class	SparseMatrix
	A versatible sparse matrix representation. More...

class	SparseMatrixBase
	Base class of any sparse matrices or sparse expressions. More...

class	SparseQR
	Sparse left-looking rank-revealing QR factorization. More...

class	SparseSelfAdjointView
	Pseudo expression to manipulate a triangular sparse matrix as a selfadjoint matrix. More...

class	SparseSolverBase
	A base class for sparse solvers. More...

class	SparseVector
	a sparse vector class More...

class	SparseView
	Expression of a dense or sparse matrix with zero or too small values removed. More...

class	SPQR
	Sparse QR factorization based on SuiteSparseQR library. More...

class	Stride
	Holds strides information for Map. More...

class	SuperILU
	A sparse direct incomplete LU factorization and solver based on the SuperLU library. More...

class	SuperLU
	A sparse direct LU factorization and solver based on the SuperLU library. More...

class	SuperLUBase
	The base class for the direct and incomplete LU factorization of SuperLU. More...

class	SVDBase
	Base class of SVD algorithms. 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...

struct	TranspositionsStorage

class	TriangularBase
	Base class for triangular part in a matrix. More...

class	TriangularView
	Expression of a triangular part in a matrix. More...

class	TriangularViewImpl< _MatrixType, _Mode, Dense >
	Base class for a triangular part in a dense matrix. More...

class	TriangularViewImpl< MatrixType, Mode, Sparse >
	Base class for a triangular part in a sparse matrix. More...

class	Tridiagonalization
	Tridiagonal decomposition of a selfadjoint matrix. More...

class	Triplet
	A small structure to hold a non zero as a triplet (i,j,value). More...

class	UmfPackLU
	A sparse LU factorization and solver based on UmfPack. More...

class	UniformScaling
	Represents a generic uniform scaling transformation. 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 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 EIGEN_DEFAULT_DENSE_INDEX_TYPE	Index
	The Index type as used for the API.

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

Enumerations
enum	{ StandardCompressedFormat }

enum	AccessorLevels { ReadOnlyAccessors , WriteAccessors , DirectAccessors , DirectWriteAccessors }

enum	AlignmentType { Unaligned , Aligned8 , Aligned16 , Aligned32 , Aligned64 , Aligned128 , AlignedMask , Aligned , AlignedMax }

enum	ComputationInfo { Success , NumericalIssue , NoConvergence , InvalidInput }

enum	CornerType

enum	DecompositionOptions { }

enum	DirectionType { Vertical , Horizontal , BothDirections }

enum	QRPreconditioners { NoQRPreconditioner , HouseholderQRPreconditioner , ColPivHouseholderQRPreconditioner , FullPivHouseholderQRPreconditioner }

enum	SideType { OnTheLeft , OnTheRight }

enum	StorageOptions { ColMajor , RowMajor , AutoAlign , DontAlign }

enum	TransformTraits { Isometry , Affine , AffineCompact , Projective }

enum	UpLoType { Lower , Upper , UnitDiag , ZeroDiag , UnitLower , UnitUpper , StrictlyLower , StrictlyUpper , SelfAdjoint , Symmetric }

Functions
template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_abs_op< typename Derived::Scalar >, const Derived >	abs (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_abs2_op< typename Derived::Scalar >, const Derived >	abs2 (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_acos_op< typename Derived::Scalar >, const Derived >	acos (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_arg_op< typename Derived::Scalar >, const Derived >	arg (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_asin_op< typename Derived::Scalar >, const Derived >	asin (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_atan_op< typename Derived::Scalar >, const Derived >	atan (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_ceil_op< typename Derived::Scalar >, const Derived >	ceil (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_conjugate_op< typename Derived::Scalar >, const Derived >	conj (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_cos_op< typename Derived::Scalar >, const Derived >	cos (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_cosh_op< typename Derived::Scalar >, const Derived >	cosh (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_cube_op< typename Derived::Scalar >, const Derived >	cube (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_digamma_op< typename Derived::Scalar >, const Derived >	digamma (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_erf_op< typename Derived::Scalar >, const Derived >	erf (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_erfc_op< typename Derived::Scalar >, const Derived >	erfc (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_exp_op< typename Derived::Scalar >, const Derived >	exp (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_floor_op< typename Derived::Scalar >, const Derived >	floor (const Eigen::ArrayBase< Derived > &x)

template<typename VectorsType, typename CoeffsType>
HouseholderSequence< VectorsType, CoeffsType >	householderSequence (const VectorsType &v, const CoeffsType &h)
	Convenience function for constructing a Householder sequence.

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_imag_op< typename Derived::Scalar >, const Derived >	imag (const Eigen::ArrayBase< Derived > &x)

void	initParallel ()

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_inverse_op< typename Derived::Scalar >, const Derived >	inverse (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_isfinite_op< typename Derived::Scalar >, const Derived >	isfinite (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_isinf_op< typename Derived::Scalar >, const Derived >	isinf (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_isnan_op< typename Derived::Scalar >, const Derived >	isnan (const Eigen::ArrayBase< Derived > &x)

std::ptrdiff_t	l1CacheSize ()

std::ptrdiff_t	l2CacheSize ()

std::ptrdiff_t	l3CacheSize ()

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_lgamma_op< typename Derived::Scalar >, const Derived >	lgamma (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_log_op< typename Derived::Scalar >, const Derived >	log (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_log10_op< typename Derived::Scalar >, const Derived >	log10 (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_log1p_op< typename Derived::Scalar >, const Derived >	log1p (const Eigen::ArrayBase< Derived > &x)

int	nbThreads ()

template<typename SparseDerived, typename PermutationType>
const Product< Inverse< PermutationType >, SparseDerived, AliasFreeProduct >	operator* (const InverseImpl< PermutationType, PermutationStorage > &tperm, const SparseMatrixBase< SparseDerived > &matrix)

template<typename MatrixDerived, typename PermutationDerived>
const Product< MatrixDerived, PermutationDerived, AliasFreeProduct >	operator* (const MatrixBase< MatrixDerived > &matrix, const PermutationBase< PermutationDerived > &permutation)

template<typename MatrixDerived, typename TranspositionsDerived>
const Product< MatrixDerived, TranspositionsDerived, AliasFreeProduct >	operator* (const MatrixBase< MatrixDerived > &matrix, const TranspositionsBase< TranspositionsDerived > &transpositions)

template<typename OtherDerived, typename VectorsType, typename CoeffsType, int Side>
internal::matrix_type_times_scalar_type< typenameVectorsType::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 SparseDerived, typename PermDerived>
const Product< PermDerived, SparseDerived, AliasFreeProduct >	operator* (const PermutationBase< PermDerived > &perm, const SparseMatrixBase< SparseDerived > &matrix)

template<typename PermutationDerived, typename MatrixDerived>
const Product< PermutationDerived, MatrixDerived, AliasFreeProduct >	operator* (const PermutationBase< PermutationDerived > &permutation, const MatrixBase< MatrixDerived > &matrix)

template<typename SparseDerived, typename PermutationType>
const Product< SparseDerived, Inverse< PermutationType >, AliasFreeProduct >	operator* (const SparseMatrixBase< SparseDerived > &matrix, const InverseImpl< PermutationType, PermutationStorage > &tperm)

template<typename SparseDerived, typename PermDerived>
const Product< SparseDerived, PermDerived, AliasFreeProduct >	operator* (const SparseMatrixBase< SparseDerived > &matrix, const PermutationBase< PermDerived > &perm)

template<typename TranspositionsDerived, typename MatrixDerived>
const Product< TranspositionsDerived, MatrixDerived, AliasFreeProduct >	operator* (const TranspositionsBase< TranspositionsDerived > &transpositions, const MatrixBase< MatrixDerived > &matrix)

template<typename Derived, typename Scalar>
	operator* (const MatrixBase< Derived > &matrix, const UniformScaling< Scalar > &s)

template<typename Derived>
std::ostream &	operator<< (std::ostream &s, const DenseBase< Derived > &m)

template<typename Derived, typename ExponentDerived>
const Eigen::CwiseBinaryOp< Eigen::internal::scalar_pow_op< typename Derived::Scalar, typename ExponentDerived::Scalar >, const Derived, const ExponentDerived >	pow (const Eigen::ArrayBase< Derived > &x, const Eigen::ArrayBase< ExponentDerived > &exponents)

template<typename Derived, typename ScalarExponent>
const CwiseBinaryOp< internal::scalar_pow_op< Derived::Scalar, ScalarExponent >, Derived, Constant< ScalarExponent > >	pow (const Eigen::ArrayBase< Derived > &x, const ScalarExponent &exponent)

template<typename Scalar, typename Derived>
const CwiseBinaryOp< internal::scalar_pow_op< Scalar, Derived::Scalar >, Constant< Scalar >, Derived >	pow (const Scalar &x, const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_real_op< typename Derived::Scalar >, const Derived >	real (const Eigen::ArrayBase< Derived > &x)

template<typename VectorsType, typename CoeffsType>
HouseholderSequence< VectorsType, CoeffsType, OnTheRight >	rightHouseholderSequence (const VectorsType &v, const CoeffsType &h)
	Convenience function for constructing a Householder sequence.

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_round_op< typename Derived::Scalar >, const Derived >	round (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_rsqrt_op< typename Derived::Scalar >, const Derived >	rsqrt (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const DiagonalWrapper< const Derived >	Scaling (const MatrixBase< Derived > &coeffs)

template<typename Scalar>
DiagonalMatrix< Scalar, 2 >	Scaling (const Scalar &sx, const Scalar &sy)

template<typename Scalar>
DiagonalMatrix< Scalar, 3 >	Scaling (const Scalar &sx, const Scalar &sy, const Scalar &sz)

template<typename RealScalar>
UniformScaling< std::complex< RealScalar > >	Scaling (const std::complex< RealScalar > &s)

UniformScaling< double >	Scaling (double s)

UniformScaling< float >	Scaling (float s)

void	setCpuCacheSizes (std::ptrdiff_t l1, std::ptrdiff_t l2, std::ptrdiff_t l3)

void	setNbThreads (int v)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_sign_op< typename Derived::Scalar >, const Derived >	sign (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_sin_op< typename Derived::Scalar >, const Derived >	sin (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_sinh_op< typename Derived::Scalar >, const Derived >	sinh (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_sqrt_op< typename Derived::Scalar >, const Derived >	sqrt (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_square_op< typename Derived::Scalar >, const Derived >	square (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_tan_op< typename Derived::Scalar >, const Derived >	tan (const Eigen::ArrayBase< Derived > &x)

template<typename Derived>
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_tanh_op< typename Derived::Scalar >, const Derived >	tanh (const Eigen::ArrayBase< Derived > &x)

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.

template<typename _Scalar, int _Options, typename _Index, unsigned int UpLo>
cholmod_sparse	viewAsCholmod (const SparseSelfAdjointView< const SparseMatrix< _Scalar, _Options, _Index >, UpLo > &mat)

template<typename Derived>
cholmod_dense	viewAsCholmod (MatrixBase< Derived > &mat)

template<typename _Scalar, int _Options, typename _StorageIndex>
cholmod_sparse	viewAsCholmod (Ref< SparseMatrix< _Scalar, _Options, _StorageIndex > > mat)

template<typename Scalar, int Flags, typename StorageIndex>
MappedSparseMatrix< Scalar, Flags, StorageIndex >	viewAsEigen (cholmod_sparse &cm)

Variables
const unsigned int	ActualPacketAccessBit

EIGEN_DEPRECATED const unsigned int	AlignedBit

const unsigned int	CompressedAccessBit

const unsigned int	DirectAccessBit

const int	Dynamic

const int	DynamicIndex

EIGEN_DEPRECATED const unsigned int	EvalBeforeAssigningBit

const unsigned int	EvalBeforeNestingBit

const int	HugeCost

const int	Infinity

const unsigned int	LinearAccessBit

const unsigned int	LvalueBit

const unsigned int	NoPreferredStorageOrderBit

const unsigned int	PacketAccessBit

const unsigned int	RowMajorBit

Detailed Description

Namespace containing all symbols from the Eigen library.

Typedef Documentation

◆ AlignedScaling2d

typedef DiagonalMatrix<double,2> Eigen::AlignedScaling2d

◆ AlignedScaling2f

typedef DiagonalMatrix<float, 2> Eigen::AlignedScaling2f

◆ AlignedScaling3d

typedef DiagonalMatrix<double,3> Eigen::AlignedScaling3d

◆ AlignedScaling3f

typedef DiagonalMatrix<float, 3> Eigen::AlignedScaling3f

◆ Index

typedef EIGEN_DEFAULT_DENSE_INDEX_TYPE Eigen::Index

The Index type as used for the API.

To change this, #define the preprocessor symbol EIGEN_DEFAULT_DENSE_INDEX_TYPE.

See also: Preprocessor directives, StorageIndex.

Enumeration Type Documentation

◆ anonymous enum

anonymous enum

Enumerator
StandardCompressedFormat	used by Ref<SparseMatrix> to specify whether the input storage must be in standard compressed form

Function Documentation

◆ abs()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_abs_op< typename Derived::Scalar >, const Derived > Eigen::abs ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise absolute value of x

See also: ArrayBase::abs , MatrixBase::cwiseAbs; Math functions, class CwiseUnaryOp

◆ abs2()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_abs2_op< typename Derived::Scalar >, const Derived > Eigen::abs2 ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise squared absolute value of x

See also: ArrayBase::abs2 , MatrixBase::cwiseAbs2; Math functions, class CwiseUnaryOp

◆ acos()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_acos_op< typename Derived::Scalar >, const Derived > Eigen::acos ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise arc-consine of x

See also: ArrayBase::acos; Math functions, class CwiseUnaryOp

◆ arg()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_arg_op< typename Derived::Scalar >, const Derived > Eigen::arg ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise complex argument of x

See also: ArrayBase::arg; Math functions, class CwiseUnaryOp

◆ asin()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_asin_op< typename Derived::Scalar >, const Derived > Eigen::asin ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise arc-sine of x

See also: ArrayBase::asin; Math functions, class CwiseUnaryOp

◆ atan()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_atan_op< typename Derived::Scalar >, const Derived > Eigen::atan ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise arc-tangent of x

See also: ArrayBase::atan; Math functions, class CwiseUnaryOp

◆ ceil()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_ceil_op< typename Derived::Scalar >, const Derived > Eigen::ceil ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise nearest integer not less than the giben value of x

See also: Eigen::floor , ArrayBase::ceil; Math functions, class CwiseUnaryOp

◆ conj()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_conjugate_op< typename Derived::Scalar >, const Derived > Eigen::conj ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise complex conjugate of x

See also: ArrayBase::conjugate; Math functions, class CwiseUnaryOp

◆ cos()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_cos_op< typename Derived::Scalar >, const Derived > Eigen::cos ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise cosine of x

See also: ArrayBase::cos; Math functions, class CwiseUnaryOp

◆ cosh()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_cosh_op< typename Derived::Scalar >, const Derived > Eigen::cosh ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise hyperbolic cosine of x

See also: ArrayBase::cosh; Math functions, class CwiseUnaryOp

◆ cube()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_cube_op< typename Derived::Scalar >, const Derived > Eigen::cube ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise cube (power 3) of x

See also: Eigen::pow , ArrayBase::cube; Math functions, class CwiseUnaryOp

◆ digamma()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_digamma_op< typename Derived::Scalar >, const Derived > Eigen::digamma ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise derivative of lgamma of x

See also: ArrayBase::digamma; Math functions, class CwiseUnaryOp

◆ erf()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_erf_op< typename Derived::Scalar >, const Derived > Eigen::erf ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise error function of x

See also: ArrayBase::erf; Math functions, class CwiseUnaryOp

◆ erfc()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_erfc_op< typename Derived::Scalar >, const Derived > Eigen::erfc ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise complement error function of x

See also: ArrayBase::erfc; Math functions, class CwiseUnaryOp

◆ exp()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_exp_op< typename Derived::Scalar >, const Derived > Eigen::exp ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise exponential of x

See also: ArrayBase::exp; Math functions, class CwiseUnaryOp

◆ floor()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_floor_op< typename Derived::Scalar >, const Derived > Eigen::floor ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise nearest integer not greater than the giben value of x

See also: Eigen::ceil , ArrayBase::floor; Math functions, class CwiseUnaryOp

◆ imag()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_imag_op< typename Derived::Scalar >, const Derived > Eigen::imag ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise imaginary part of x

See also: ArrayBase::imag; Math functions, class CwiseUnaryOp

◆ initParallel()

void Eigen::initParallel ( )

inline

Must be call first when calling Eigen from multiple threads

◆ inverse()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_inverse_op< typename Derived::Scalar >, const Derived > Eigen::inverse ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise inverse of x

See also: ArrayBase::inverse; Math functions, class CwiseUnaryOp

◆ isfinite()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_isfinite_op< typename Derived::Scalar >, const Derived > Eigen::isfinite ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise finite value test of x

See also: Eigen::isinf , Eigen::isnan , ArrayBase::isfinite; Math functions, class CwiseUnaryOp

◆ isinf()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_isinf_op< typename Derived::Scalar >, const Derived > Eigen::isinf ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise infinite value test of x

See also: Eigen::isnan , Eigen::isfinite , ArrayBase::isinf; Math functions, class CwiseUnaryOp

◆ isnan()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_isnan_op< typename Derived::Scalar >, const Derived > Eigen::isnan ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise not-a-number test of x

See also: Eigen::isinf , Eigen::isfinite , ArrayBase::isnan; Math functions, class CwiseUnaryOp

◆ l1CacheSize()

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

◆ l2CacheSize()

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

◆ l3CacheSize()

std::ptrdiff_t Eigen::l3CacheSize ( )

inline

Returns: the currently set level 3 cpu cache size (in bytes) used to estimate the ideal blocking size paramete\ rs.

See also: setCpuCacheSize

◆ lgamma()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_lgamma_op< typename Derived::Scalar >, const Derived > Eigen::lgamma ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise natural logarithm of the gamma function of x

See also: ArrayBase::lgamma; Math functions, class CwiseUnaryOp

◆ log()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_log_op< typename Derived::Scalar >, const Derived > Eigen::log ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise natural logarithm of x

See also: Eigen::log10 , ArrayBase::log; Math functions, class CwiseUnaryOp

◆ log10()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_log10_op< typename Derived::Scalar >, const Derived > Eigen::log10 ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise base 10 logarithm of x

See also: Eigen::log , ArrayBase::log; Math functions, class CwiseUnaryOp

◆ log1p()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_log1p_op< typename Derived::Scalar >, const Derived > Eigen::log1p ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise natural logarithm of 1 plus the value of x

See also: ArrayBase::log1p; Math functions, class CwiseUnaryOp

◆ nbThreads()

int Eigen::nbThreads ( )

inline

Returns: the max number of threads reserved for Eigen

See also: setNbThreads

◆ operator*() [1/10]

template<typename SparseDerived, typename PermutationType>

const Product< Inverse< PermutationType >, SparseDerived, AliasFreeProduct > Eigen::operator*	(	const InverseImpl< PermutationType, PermutationStorage > &	tperm,
		const SparseMatrixBase< SparseDerived > &	matrix )

inline

Returns: the matrix with the inverse permutation applied to the rows.

◆ operator*() [2/10]

template<typename MatrixDerived, typename PermutationDerived>

const Product< MatrixDerived, PermutationDerived, AliasFreeProduct > Eigen::operator*	(	const MatrixBase< MatrixDerived > &	matrix,
		const PermutationBase< PermutationDerived > &	permutation )

Returns: the matrix with the permutation applied to the columns.

◆ operator*() [3/10]

template<typename MatrixDerived, typename TranspositionsDerived>

const Product< MatrixDerived, TranspositionsDerived, AliasFreeProduct > Eigen::operator*	(	const MatrixBase< MatrixDerived > &	matrix,
		const TranspositionsBase< TranspositionsDerived > &	transpositions )

Returns: the matrix with the transpositions applied to the columns.

◆ operator*() [4/10]

template<typename OtherDerived, typename VectorsType, typename CoeffsType, int Side>

internal::matrix_type_times_scalar_type< typenameVectorsType::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 \( MH \) where \( M \) is the matrix other and \( H \) is the Householder sequence represented by h.

◆ operator*() [5/10]

template<typename SparseDerived, typename PermDerived>

const Product< PermDerived, SparseDerived, AliasFreeProduct > Eigen::operator*	(	const PermutationBase< PermDerived > &	perm,
		const SparseMatrixBase< SparseDerived > &	matrix )

inline

Returns: the matrix with the permutation applied to the rows

◆ operator*() [6/10]

template<typename PermutationDerived, typename MatrixDerived>

const Product< PermutationDerived, MatrixDerived, AliasFreeProduct > Eigen::operator*	(	const PermutationBase< PermutationDerived > &	permutation,
		const MatrixBase< MatrixDerived > &	matrix )

Returns: the matrix with the permutation applied to the rows.

◆ operator*() [7/10]

template<typename SparseDerived, typename PermutationType>

const Product< SparseDerived, Inverse< PermutationType >, AliasFreeProduct > Eigen::operator*	(	const SparseMatrixBase< SparseDerived > &	matrix,
		const InverseImpl< PermutationType, PermutationStorage > &	tperm )

inline

Returns: the matrix with the inverse permutation applied to the columns.

◆ operator*() [8/10]

template<typename SparseDerived, typename PermDerived>

const Product< SparseDerived, PermDerived, AliasFreeProduct > Eigen::operator*	(	const SparseMatrixBase< SparseDerived > &	matrix,
		const PermutationBase< PermDerived > &	perm )

inline

Returns: the matrix with the permutation applied to the columns

◆ operator*() [9/10]

template<typename TranspositionsDerived, typename MatrixDerived>

const Product< TranspositionsDerived, MatrixDerived, AliasFreeProduct > Eigen::operator*	(	const TranspositionsBase< TranspositionsDerived > &	transpositions,
		const MatrixBase< MatrixDerived > &	matrix )

Returns: the matrix with the transpositions applied to the rows.

◆ real()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_real_op< typename Derived::Scalar >, const Derived > Eigen::real ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise real part of x

See also: ArrayBase::real; Math functions, class CwiseUnaryOp

◆ round()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_round_op< typename Derived::Scalar >, const Derived > Eigen::round ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise nearest integer of x

See also: Eigen::floor , Eigen::ceil , ArrayBase::round; Math functions, class CwiseUnaryOp

◆ rsqrt()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_rsqrt_op< typename Derived::Scalar >, const Derived > Eigen::rsqrt ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise reciprocal square root of x

See also: ArrayBase::rsqrt; Math functions, class CwiseUnaryOp

◆ Scaling() [1/6]

template<typename Derived>

const DiagonalWrapper< const Derived > Eigen::Scaling ( const MatrixBase< Derived > & coeffs )

inline

Constructs an axis aligned scaling expression from vector expression coeffs This is an alias for coeffs.asDiagonal()

◆ Scaling() [2/6]

template<typename Scalar>

DiagonalMatrix< Scalar, 2 > Eigen::Scaling	(	const Scalar &	sx,
		const Scalar &	sy )

inline

Constructs a 2D axis aligned scaling

◆ Scaling() [3/6]

template<typename Scalar>

DiagonalMatrix< Scalar, 3 > Eigen::Scaling	(	const Scalar &	sx,
		const Scalar &	sy,
		const Scalar &	sz )

inline

Constructs a 3D axis aligned scaling

◆ Scaling() [4/6]

template<typename RealScalar>

UniformScaling< std::complex< RealScalar > > Eigen::Scaling ( const std::complex< RealScalar > & s )

inline

Constructs a uniform scaling from scale factor s

◆ Scaling() [5/6]

UniformScaling< double > Eigen::Scaling ( double s )

inline

Constructs a uniform scaling from scale factor s

◆ Scaling() [6/6]

UniformScaling< float > Eigen::Scaling ( float s )

inline

Constructs a uniform scaling from scale factor s

◆ setCpuCacheSizes()

void Eigen::setCpuCacheSizes	(	std::ptrdiff_t	l1,
		std::ptrdiff_t	l2,
		std::ptrdiff_t	l3 )

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

◆ setNbThreads()

void Eigen::setNbThreads ( int v )

inline

Sets the max number of threads reserved for Eigen

See also: nbThreads

◆ sign()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_sign_op< typename Derived::Scalar >, const Derived > Eigen::sign ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise sign (or 0) of x

See also: ArrayBase::sign; Math functions, class CwiseUnaryOp

◆ sin()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_sin_op< typename Derived::Scalar >, const Derived > Eigen::sin ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise sine of x

See also: ArrayBase::sin; Math functions, class CwiseUnaryOp

◆ sinh()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_sinh_op< typename Derived::Scalar >, const Derived > Eigen::sinh ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise hyperbolic sine of x

See also: ArrayBase::sinh; Math functions, class CwiseUnaryOp

◆ sqrt()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_sqrt_op< typename Derived::Scalar >, const Derived > Eigen::sqrt ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise square root of x

See also: ArrayBase::sqrt , MatrixBase::cwiseSqrt; Math functions, class CwiseUnaryOp

◆ square()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_square_op< typename Derived::Scalar >, const Derived > Eigen::square ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise square (power 2) of x

See also: Eigen::abs2 , Eigen::pow , ArrayBase::square; Math functions, class CwiseUnaryOp

◆ tan()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_tan_op< typename Derived::Scalar >, const Derived > Eigen::tan ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise tangent of x

See also: ArrayBase::tan; Math functions, class CwiseUnaryOp

◆ tanh()

template<typename Derived>

const Eigen::CwiseUnaryOp< Eigen::internal::scalar_tanh_op< typename Derived::Scalar >, const Derived > Eigen::tanh ( const Eigen::ArrayBase< Derived > & x )

inline

Returns: an expression of the coefficient-wise hyperbolic tangent of x

See also: ArrayBase::tanh; Math functions, class CwiseUnaryOp

◆ viewAsCholmod() [1/3]

template<typename _Scalar, int _Options, typename _Index, unsigned int UpLo>

cholmod_sparse Eigen::viewAsCholmod ( const SparseSelfAdjointView< const SparseMatrix< _Scalar, _Options, _Index >, UpLo > & mat )

Returns a view of the Eigen sparse matrix mat as Cholmod sparse matrix. The data are not copied but shared.

◆ viewAsCholmod() [2/3]

template<typename Derived>

cholmod_dense Eigen::viewAsCholmod ( MatrixBase< Derived > & mat )

Returns a view of the Eigen dense matrix mat as Cholmod dense matrix. The data are not copied but shared.

◆ viewAsCholmod() [3/3]

template<typename _Scalar, int _Options, typename _StorageIndex>

cholmod_sparse Eigen::viewAsCholmod ( Ref< SparseMatrix< _Scalar, _Options, _StorageIndex > > mat )

Wraps the Eigen sparse matrix mat into a Cholmod sparse matrix object. Note that the data are shared.

◆ viewAsEigen()

template<typename Scalar, int Flags, typename StorageIndex>

MappedSparseMatrix< Scalar, Flags, StorageIndex > Eigen::viewAsEigen ( cholmod_sparse & cm )

Returns a view of the Cholmod sparse matrix cm as an Eigen sparse matrix. The data are not copied but shared.

Variable Documentation

◆ Dynamic

const int Eigen::Dynamic

This value means that a positive quantity (e.g., a size) 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.

◆ DynamicIndex

const int Eigen::DynamicIndex

This value means that a signed quantity (e.g., a signed index) is not known at compile-time, and that instead its value has to be specified at runtime.

◆ HugeCost

const int Eigen::HugeCost

This value means that the cost to evaluate an expression coefficient is either very expensive or cannot be known at compile time.

This value has to be positive to (1) simplify cost computation, and (2) allow to distinguish between a very expensive and very very expensive expressions. It thus must also be large enough to make sure unrolling won't happen and that sub expressions will be evaluated, but not too large to avoid overflow.

◆ Infinity

const int Eigen::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.

Classes

Typedefs

Enumerations

Functions

Variables

Detailed Description

Typedef Documentation

◆ AlignedScaling2d

◆ AlignedScaling2f

◆ AlignedScaling3d

◆ AlignedScaling3f

◆ Index

Enumeration Type Documentation

◆ anonymous enum

Function Documentation

◆ abs()

◆ abs2()

◆ acos()

◆ arg()

◆ asin()

◆ atan()

◆ ceil()

◆ conj()

◆ cos()

◆ cosh()

◆ cube()

◆ digamma()

◆ erf()

◆ erfc()

◆ exp()

◆ floor()

◆ imag()

◆ initParallel()

◆ inverse()

◆ isfinite()

◆ isinf()

◆ isnan()

◆ l1CacheSize()

◆ l2CacheSize()

◆ l3CacheSize()

◆ lgamma()

◆ log()

◆ log10()

◆ log1p()

◆ nbThreads()

◆ operator*() [1/10]

◆ operator*() [2/10]

◆ operator*() [3/10]

◆ operator*() [4/10]

◆ operator*() [5/10]

◆ operator*() [6/10]

◆ operator*() [7/10]

◆ operator*() [8/10]

◆ operator*() [9/10]

◆ real()

◆ round()

◆ rsqrt()

◆ Scaling() [1/6]

◆ Scaling() [2/6]

◆ Scaling() [3/6]

◆ Scaling() [4/6]

◆ Scaling() [5/6]

◆ Scaling() [6/6]

◆ setCpuCacheSizes()

◆ setNbThreads()

◆ sign()

◆ sin()

◆ sinh()

◆ sqrt()

◆ square()

◆ tan()

◆ tanh()

◆ viewAsCholmod() [1/3]

◆ viewAsCholmod() [2/3]

◆ viewAsCholmod() [3/3]

◆ viewAsEigen()

Variable Documentation

◆ Dynamic

◆ DynamicIndex

◆ HugeCost