Namespaces
	Architecture

	half_impl

	internal

	numext

Classes
class	aligned_allocator
	STL compatible allocator to use with with 16 byte aligned types. More...

class	aligned_allocator_indirection

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

struct	BandShape

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

class	BlockImpl< const SparseMatrix< _Scalar, _Options, _StorageIndex >, BlockRows, BlockCols, true, Sparse >

class	BlockImpl< SparseMatrix< _Scalar, _Options, _StorageIndex >, BlockRows, BlockCols, true, Sparse >

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

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

class	BlockImpl< XprType, BlockRows, BlockCols, true, 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	Conjugate

class	ConjugateGradient
	A conjugate gradient solver for sparse (or dense) self-adjoint problems. More...

class	Cross

class	CwiseBinaryOp
	Generic expression where a coefficient-wise binary operator is applied to two expressions. More...

class	CwiseBinaryOpImpl

class	CwiseBinaryOpImpl< BinaryOp, Lhs, Rhs, Sparse >

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	CwiseTernaryOpImpl

class	CwiseUnaryOp
	Generic expression where a coefficient-wise unary operator is applied to an expression. More...

class	CwiseUnaryOpImpl

class	CwiseUnaryView
	Generic lvalue expression of a coefficient-wise unary operator of a matrix or a vector. More...

class	CwiseUnaryViewImpl

class	CwiseUnaryViewImpl< ViewOp, MatrixType, Dense >

struct	Dense

class	DenseBase
	Base class for all dense matrices, vectors, and arrays. More...

class	DenseCoeffsBase

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...

struct	DenseShape

struct	DenseSparseProductReturnType

class	DenseStorage

class	DenseStorage< T, 0, _Rows, _Cols, _Options >

class	DenseStorage< T, 0, _Rows, Dynamic, _Options >

class	DenseStorage< T, 0, Dynamic, _Cols, _Options >

class	DenseStorage< T, 0, Dynamic, Dynamic, _Options >

class	DenseStorage< T, Dynamic, _Rows, Dynamic, _Options >

class	DenseStorage< T, Dynamic, Dynamic, _Cols, _Options >

class	DenseStorage< T, Dynamic, Dynamic, Dynamic, _Options >

class	DenseStorage< T, Size, _Rows, Dynamic, _Options >

class	DenseStorage< T, Size, Dynamic, _Cols, _Options >

class	DenseStorage< T, Size, Dynamic, Dynamic, _Options >

class	DenseTimeSparseProduct

class	Diagonal
	Expression of a diagonal/subdiagonal/superdiagonal in a matrix. More...

class	DiagonalBase

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

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

class	DiagonalProduct

struct	DiagonalShape

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

class	DynamicSparseMatrix

class	EigenBase

class	EigenSolver
	Computes eigenvalues and eigenvectors of general matrices. More...

class	Flagged

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...

struct	general_product_to_triangular_selector

struct	general_product_to_triangular_selector< MatrixType, ProductType, UpLo, false >

struct	general_product_to_triangular_selector< MatrixType, ProductType, UpLo, true >

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...

struct	GenericNumTraits

struct	half

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...

struct	HomogeneousShape

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	InverseImpl

class	InverseImpl< PermutationType, PermutationStorage >

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...

struct	LazyProductReturnType

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< const SparseMatrix< MatScalar, MatOptions, MatIndex >, Options, StrideType >

class	Map< PermutationMatrix< SizeAtCompileTime, MaxSizeAtCompileTime, _StorageIndex >, _PacketAccess >

class	Map< Quaternion< _Scalar >, _Options >
	Expression of a quaternion from a memory buffer. More...

class	Map< SparseMatrix< MatScalar, MatOptions, MatIndex >, Options, StrideType >
	Specialization of class Map for SparseMatrix-like storage. More...

class	Map< Transpositions< SizeAtCompileTime, MaxSizeAtCompileTime, _StorageIndex >, PacketAccess >

class	MapBase

class	MapBase< Derived, ReadOnlyAccessors >
	Base class for dense Map and Block expression with direct access. 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	MatrixComplexPowerReturnValue

struct	MatrixExponentialReturnValue

class	MatrixFunctionReturnValue

class	MatrixLogarithmReturnValue

class	MatrixPowerReturnValue

class	MatrixSquareRootReturnValue

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...

struct	NumTraits< Array< Scalar, Rows, Cols, Options, MaxRows, MaxCols > >

struct	NumTraits< double >

struct	NumTraits< Eigen::half >

struct	NumTraits< float >

struct	NumTraits< long double >

struct	NumTraits< std::complex< _Real > >

struct	NumTraits< std::string >

struct	NumTraits< void >

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	PardisoImpl

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	PastixBase

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	PermutationShape

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	ProductImpl

class	ProductImpl< Lhs, Rhs, Option, Dense >

struct	ProductReturnType

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< const SparseMatrix< MatScalar, MatOptions, MatIndex >, Options, StrideType >

class	Ref< const SparseVector< MatScalar, MatOptions, MatIndex >, Options, StrideType >

class	Ref< const TPlainObjectType, Options, StrideType >

class	Ref< SparseMatrix< MatScalar, MatOptions, MatIndex >, Options, StrideType >
	A sparse matrix expression referencing an existing sparse expression. More...

class	Ref< SparseVector< MatScalar, MatOptions, MatIndex >, Options, StrideType >
	A sparse vector expression referencing an existing sparse vector expression. More...

class	RefBase

class	Replicate
	Expression of the multiple replication of a matrix or vector. More...

class	ReturnByValue

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...

struct	ScalarBinaryOpTraits< T, T, BinaryOp >

struct	ScalarBinaryOpTraits< T, typename NumTraits< typename internal::enable_if< NumTraits< T >::IsComplex, T >::type >::Real, BinaryOp >

struct	ScalarBinaryOpTraits< T, void, BinaryOp >

struct	ScalarBinaryOpTraits< typename NumTraits< typename internal::enable_if< NumTraits< T >::IsComplex, T >::type >::Real, T, BinaryOp >

struct	ScalarBinaryOpTraits< void, T, BinaryOp >

struct	ScalarBinaryOpTraits< void, void, BinaryOp >

class	Select
	Expression of a coefficient wise version of the C++ ternary operator ?: More...

struct	selfadjoint_product_selector

struct	selfadjoint_product_selector< MatrixType, OtherType, UpLo, false >

struct	selfadjoint_product_selector< MatrixType, OtherType, UpLo, true >

struct	selfadjoint_rank1_update

struct	selfadjoint_rank1_update< Scalar, Index, ColMajor, UpLo, ConjLhs, ConjRhs >

struct	selfadjoint_rank1_update< Scalar, Index, RowMajor, UpLo, ConjLhs, ConjRhs >

class	SelfAdjointEigenSolver
	Computes eigenvalues and eigenvectors of selfadjoint matrices. More...

struct	SelfAdjointShape

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...

struct	SluMatrix

struct	SluMatrixMapHelper

struct	SluMatrixMapHelper< Matrix< Scalar, Rows, Cols, Options, MRows, MCols > >

struct	SluMatrixMapHelper< SparseMatrixBase< Derived > >

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

class	SolveImpl

class	SolveImpl< Decomposition, RhsType, Dense >

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

struct	SolverShape

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	SparseDenseOuterProduct

struct	SparseDenseProductReturnType

class	SparseDiagonalProduct

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

struct	SparseLUMatrixLReturnType

struct	SparseLUMatrixUReturnType

class	SparseMapBase

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

struct	SparseQR_QProduct

struct	SparseQRMatrixQReturnType

struct	SparseQRMatrixQTransposeReturnType

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

struct	SparseShape

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

class	SparseSparseProduct

struct	SparseSparseProductReturnType

class	SparseSymmetricPermutationProduct

class	SparseTimeDenseProduct

class	SparseVector
	a sparse vector class More...

class	SparseView

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

struct	SPQR_QProduct

struct	SPQRMatrixQReturnType

struct	SPQRMatrixQTransposeReturnType

class	Stride
	Holds strides information for Map. 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	SwapWrapper

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	Transpose< TranspositionsBase< TranspositionsDerived > >

class	TransposeImpl

class	TransposeImpl< MatrixType, Dense >

class	TransposeImpl< MatrixType, Sparse >

class	Transpositions
	Represents a sequence of transpositions (row/column interchange) More...

class	TranspositionsBase

struct	TranspositionsShape

struct	TranspositionsStorage

class	TranspositionsWrapper

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

struct	TriangularShape

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

class	TriangularViewImpl

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

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 int	BlasIndex

typedef std::complex< double >	dcomplex

typedef EIGEN_DEFAULT_DENSE_INDEX_TYPE	DenseIndex

typedef EIGEN_DEFAULT_DENSE_INDEX_TYPE	Index
	The Index type as used for the API. More...

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 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 std::complex< float >	scomplex

typedef Translation< double, 2 >	Translation2d

typedef Translation< float, 2 >	Translation2f

typedef Translation< double, 3 >	Translation3d

typedef Translation< float, 3 >	Translation3f

Enumerations
enum	{ Large = 2, Small = 3 }

enum	{ DontAlignCols = 1 }

enum	{ StreamPrecision = -1, FullPrecision = -2 }

enum	{ StandardCompressedFormat = 2 }

enum	AccessorLevels { ReadOnlyAccessors, WriteAccessors, DirectAccessors, DirectWriteAccessors }

enum	Action { GetAction, SetAction }

enum	AlignmentType { Unaligned =0, Aligned8 =8, Aligned16 =16, Aligned32 =32, Aligned64 =64, Aligned128 =128, AlignedMask =255, Aligned =16, AlignedMax = Unaligned }

enum	AmbiVectorMode { IsDense = 0, IsSparse }

enum	CholmodMode { CholmodAuto, CholmodSimplicialLLt, CholmodSupernodalLLt, CholmodLDLt }

enum	ComputationInfo { Success = 0, NumericalIssue = 1, NoConvergence = 2, InvalidInput = 3 }

enum	CornerType { TopLeft, TopRight, BottomLeft, BottomRight }

enum	DecompositionOptions { Pivoting = 0x01, NoPivoting = 0x02, ComputeFullU = 0x04, ComputeThinU = 0x08, ComputeFullV = 0x10, ComputeThinV = 0x20, EigenvaluesOnly = 0x40, ComputeEigenvectors = 0x80, EigVecMask = EigenvaluesOnly \| ComputeEigenvectors, Ax_lBx = 0x100, ABx_lx = 0x200, BAx_lx = 0x400, GenEigMask = Ax_lBx \| ABx_lx \| BAx_lx }

enum	Default_t { Default }

enum	DirectionType { Vertical, Horizontal, BothDirections }

enum	NoChange_t { NoChange }

enum	ProductImplType { DefaultProduct =0, LazyProduct, AliasFreeProduct, CoeffBasedProductMode, LazyCoeffBasedProductMode, OuterProduct, InnerProduct, GemvProduct, GemmProduct }

enum	QRPreconditioners { NoQRPreconditioner, HouseholderQRPreconditioner, ColPivHouseholderQRPreconditioner, FullPivHouseholderQRPreconditioner }

enum	Sequential_t { Sequential }

enum	SideType { OnTheLeft = 1, OnTheRight = 2 }

enum	SimplicialCholeskyMode { SimplicialCholeskyLLT, SimplicialCholeskyLDLT }

enum	SpecializedType { Specialized, BuiltIn }

enum	StorageOptions { ColMajor = 0, RowMajor = 0x1, AutoAlign = 0, DontAlign = 0x2 }

enum	TransformTraits { Isometry = 0x1, Affine = 0x2, AffineCompact = 0x10 \| Affine, Projective = 0x20 }

enum	TraversalType { DefaultTraversal, LinearTraversal, InnerVectorizedTraversal, LinearVectorizedTraversal, SliceVectorizedTraversal, InvalidTraversal, AllAtOnceTraversal }

enum	UnrollingType { NoUnrolling, InnerUnrolling, CompleteUnrolling }

enum	UpLoType { Lower =0x1, Upper =0x2, UnitDiag =0x4, ZeroDiag =0x8, UnitLower =UnitDiag\|Lower, UnitUpper =UnitDiag\|Upper, StrictlyLower =ZeroDiag\|Lower, StrictlyUpper =ZeroDiag\|Upper, SelfAdjoint =0x10, Symmetric =0x20 }

Functions
template<typename Derived >
const	EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE (Derived, typename Derived::Scalar, pow) pow(const Eigen

template<typename Derived >
const	EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE (typename Derived::Scalar, Derived, pow) pow(const typename Derived

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

void	initParallel ()

std::ptrdiff_t	l1CacheSize ()

std::ptrdiff_t	l2CacheSize ()

std::ptrdiff_t	l3CacheSize ()

int	nbThreads ()

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

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

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

template<typename TranspositionsDerived , typename MatrixDerived >
EIGEN_DEVICE_FUNC const Product< TranspositionsDerived, MatrixDerived, AliasFreeProduct >	operator* (const TranspositionsBase< TranspositionsDerived > &transpositions, const MatrixBase< MatrixDerived > &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. More...

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

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

template<typename DenseDerived , typename SparseDerived >
EIGEN_STRONG_INLINE const CwiseBinaryOp< internal::scalar_sum_op< typename DenseDerived::Scalar, typename SparseDerived::Scalar >, const DenseDerived, const SparseDerived >	operator+ (const MatrixBase< DenseDerived > &a, const SparseMatrixBase< SparseDerived > &b)

template<typename SparseDerived , typename DenseDerived >
EIGEN_STRONG_INLINE const CwiseBinaryOp< internal::scalar_sum_op< typename SparseDerived::Scalar, typename DenseDerived::Scalar >, const SparseDerived, const DenseDerived >	operator+ (const SparseMatrixBase< SparseDerived > &a, const MatrixBase< DenseDerived > &b)

template<typename DenseDerived , typename SparseDerived >
EIGEN_STRONG_INLINE const CwiseBinaryOp< internal::scalar_difference_op< typename DenseDerived::Scalar, typename SparseDerived::Scalar >, const DenseDerived, const SparseDerived >	operator- (const MatrixBase< DenseDerived > &a, const SparseMatrixBase< SparseDerived > &b)

template<typename SparseDerived , typename DenseDerived >
EIGEN_STRONG_INLINE const CwiseBinaryOp< internal::scalar_difference_op< typename SparseDerived::Scalar, typename DenseDerived::Scalar >, const SparseDerived, const DenseDerived >	operator- (const SparseMatrixBase< SparseDerived > &a, const MatrixBase< DenseDerived > &b)

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

UniformScaling< float >	Scaling (float s)

UniformScaling< double >	Scaling (double s)

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

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

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

void	setNbThreads (int v)

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. More...

void	umfpack_defaults (double control[UMFPACK_CONTROL], double)

void	umfpack_defaults (double control[UMFPACK_CONTROL], std::complex< double >)

void	umfpack_free_numeric (void **Numeric, double)

void	umfpack_free_numeric (void **Numeric, std::complex< double >)

void	umfpack_free_symbolic (void **Symbolic, double)

void	umfpack_free_symbolic (void **Symbolic, std::complex< double >)

int	umfpack_get_determinant (double Mx, double Ex, void *NumericHandle, double User_Info [UMFPACK_INFO])

int	umfpack_get_determinant (std::complex< double > Mx, double Ex, void *NumericHandle, double User_Info [UMFPACK_INFO])

int	umfpack_get_lunz (int lnz, int unz, int n_row, int n_col, int nz_udiag, void Numeric, double)

int	umfpack_get_lunz (int lnz, int unz, int n_row, int n_col, int nz_udiag, void Numeric, std::complex< double >)

int	umfpack_get_numeric (int Lp[], int Lj[], double Lx[], int Up[], int Ui[], double Ux[], int P[], int Q[], double Dx[], int do_recip, double Rs[], void Numeric)

int	umfpack_get_numeric (int Lp[], int Lj[], std::complex< double > Lx[], int Up[], int Ui[], std::complex< double > Ux[], int P[], int Q[], std::complex< double > Dx[], int do_recip, double Rs[], void Numeric)

int	umfpack_numeric (const int Ap[], const int Ai[], const double Ax[], void Symbolic, void *Numeric, const double Control[UMFPACK_CONTROL], double Info [UMFPACK_INFO])

int	umfpack_numeric (const int Ap[], const int Ai[], const std::complex< double > Ax[], void Symbolic, void *Numeric, const double Control[UMFPACK_CONTROL], double Info [UMFPACK_INFO])

int	umfpack_solve (int sys, const int Ap[], const int Ai[], const double Ax[], double X[], const double B[], void *Numeric, const double Control[UMFPACK_CONTROL], double Info[UMFPACK_INFO])

int	umfpack_solve (int sys, const int Ap[], const int Ai[], const std::complex< double > Ax[], std::complex< double > X[], const std::complex< double > B[], void *Numeric, const double Control[UMFPACK_CONTROL], double Info[UMFPACK_INFO])

int	umfpack_symbolic (int n_row, int n_col, const int Ap[], const int Ai[], const double Ax[], void **Symbolic, const double Control [UMFPACK_CONTROL], double Info [UMFPACK_INFO])

int	umfpack_symbolic (int n_row, int n_col, const int Ap[], const int Ai[], const std::complex< double > Ax[], void **Symbolic, const double Control [UMFPACK_CONTROL], double Info [UMFPACK_INFO])

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

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

template<typename _Scalar , int _Options, typename _Index >
const cholmod_sparse	viewAsCholmod (const SparseVector< _Scalar, _Options, _Index > &mat)

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

Variables
const unsigned int	ActualPacketAccessBit = 0x0

EIGEN_DEPRECATED const unsigned int	AlignedBit = 0x80

const int	CoherentAccessPattern = 0x1

const unsigned int	CompressedAccessBit = 0x400

const unsigned int	DirectAccessBit = 0x40

const int	Dynamic = -1

const int	DynamicIndex = 0xffffff

EIGEN_DEPRECATED const unsigned int	EvalBeforeAssigningBit = 0x4

const unsigned int	EvalBeforeNestingBit = 0x2

const unsigned int	HereditaryBits

const int	HugeCost = 10000

const int	Infinity = -1

const int	InnerRandomAccessPattern = 0x2 \| CoherentAccessPattern

const unsigned int	LinearAccessBit = 0x10

const unsigned int	LvalueBit = 0x20

const unsigned int	NestByRefBit = 0x100

const unsigned int	NoPreferredStorageOrderBit = 0x200

const int	OuterRandomAccessPattern = 0x4 \| CoherentAccessPattern

const unsigned int	PacketAccessBit = 0x8

const int	RandomAccessPattern = 0x8 \| OuterRandomAccessPattern \| InnerRandomAccessPattern

const unsigned int	RowMajorBit = 0x1

Typedef Documentation

◆ BlasIndex

typedef int Eigen::BlasIndex

Definition at line 119 of file MKL_support.h.

◆ dcomplex

typedef std::complex<double> Eigen::dcomplex

Definition at line 113 of file MKL_support.h.

◆ DenseIndex

typedef EIGEN_DEFAULT_DENSE_INDEX_TYPE Eigen::DenseIndex

Definition at line 25 of file Meta.h.

◆ 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: TopicPreprocessorDirectives, StorageIndex.

Definition at line 33 of file Meta.h.

◆ scomplex

typedef std::complex<float> Eigen::scomplex

Definition at line 114 of file MKL_support.h.

Enumeration Type Documentation

◆ anonymous enum

anonymous enum

Enumerator
Large
Small

Definition at line 16 of file GeneralProduct.h.

◆ anonymous enum

anonymous enum

Enumerator
DontAlignCols

Definition at line 16 of file IO.h.

◆ anonymous enum

anonymous enum

Enumerator
StreamPrecision
FullPrecision

Definition at line 17 of file IO.h.

◆ anonymous enum

anonymous enum

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

Definition at line 15 of file SparseRef.h.

◆ Action

enum Eigen::Action

Enumerator
GetAction
SetAction

Definition at line 488 of file Constants.h.

◆ AmbiVectorMode

enum Eigen::AmbiVectorMode

Enumerator
IsDense
IsSparse

Definition at line 356 of file Constants.h.

◆ CholmodMode

enum Eigen::CholmodMode

Enumerator
CholmodAuto
CholmodSimplicialLLt
CholmodSupernodalLLt
CholmodLDLt

Definition at line 162 of file CholmodSupport.h.

◆ Default_t

enum Eigen::Default_t

Enumerator
Default

Definition at line 352 of file Constants.h.

◆ NoChange_t

enum Eigen::NoChange_t

Enumerator
NoChange

Definition at line 350 of file Constants.h.

◆ ProductImplType

enum Eigen::ProductImplType

Enumerator
DefaultProduct
LazyProduct
AliasFreeProduct
CoeffBasedProductMode
LazyCoeffBasedProductMode
OuterProduct
InnerProduct
GemvProduct
GemmProduct

Definition at line 483 of file Constants.h.

◆ Sequential_t

enum Eigen::Sequential_t

Enumerator
Sequential

Definition at line 351 of file Constants.h.

◆ SimplicialCholeskyMode

enum Eigen::SimplicialCholeskyMode

Enumerator
SimplicialCholeskyLLT
SimplicialCholeskyLDLT

Definition at line 15 of file SimplicialCholesky.h.

◆ SpecializedType

enum Eigen::SpecializedType

Enumerator
Specialized
BuiltIn

Definition at line 310 of file Constants.h.

◆ TraversalType

enum Eigen::TraversalType

Enumerator
DefaultTraversal
LinearTraversal
InnerVectorizedTraversal
LinearVectorizedTraversal
SliceVectorizedTraversal
InvalidTraversal
AllAtOnceTraversal

Definition at line 276 of file Constants.h.

◆ UnrollingType

enum Eigen::UnrollingType

Enumerator
NoUnrolling
InnerUnrolling
CompleteUnrolling

Definition at line 298 of file Constants.h.

Function Documentation

◆ EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE()

template<typename Derived >

const Eigen::EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE	(	Derived	,
		typename Derived::Scalar	,
		pow
	)		const

inline

Definition at line 113 of file GlobalFunctions.h.

◆ EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE()

template<typename Derived >

const Eigen::EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE	(	typename Derived::Scalar	,
		Derived	,
		pow
	)		const

inline

Definition at line 168 of file GlobalFunctions.h.

◆ householderSequence()

template<typename VectorsType , typename CoeffsType >

HouseholderSequence<VectorsType,CoeffsType> Eigen::householderSequence	(	const VectorsType &	v,
		const CoeffsType &	h
	)

Convenience function for constructing a Householder sequence.

\

Returns: A HouseholderSequence constructed from the specified arguments.

Definition at line 451 of file HouseholderSequence.h.

◆ initParallel()

void Eigen::initParallel ( )

inline

Must be call first when calling Eigen from multiple threads

Definition at line 48 of file Parallelizer.h.

◆ 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

Definition at line 2111 of file GeneralBlockPanelKernel.h.

◆ 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

Definition at line 2120 of file GeneralBlockPanelKernel.h.

◆ 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

Definition at line 2130 of file GeneralBlockPanelKernel.h.

◆ nbThreads()

int Eigen::nbThreads ( )

inline

Returns: the max number of threads reserved for Eigen

See also: setNbThreads

Definition at line 58 of file Parallelizer.h.

◆ operator*() [1/9]

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

Definition at line 147 of file SparsePermutation.h.

◆ operator*() [2/9]

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

Definition at line 154 of file SparsePermutation.h.

◆ operator*() [3/9]

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.

Definition at line 162 of file SparsePermutation.h.

◆ operator*() [4/9]

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.

Definition at line 171 of file SparsePermutation.h.

◆ operator*() [5/9]

template<typename MatrixDerived , typename TranspositionsDerived >

EIGEN_DEVICE_FUNC 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.

Definition at line 338 of file Transpositions.h.

◆ operator*() [6/9]

template<typename TranspositionsDerived , typename MatrixDerived >

EIGEN_DEVICE_FUNC 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.

Definition at line 350 of file Transpositions.h.

◆ operator*() [7/9]

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

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 $ MH $ where $ M $ is the matrix other and $ H $ is the Householder sequence represented by h.

Definition at line 438 of file HouseholderSequence.h.

◆ operator*() [8/9]

template<typename MatrixDerived , typename PermutationDerived >

EIGEN_DEVICE_FUNC 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.

Definition at line 543 of file PermutationMatrix.h.

◆ operator*() [9/9]

template<typename PermutationDerived , typename MatrixDerived >

EIGEN_DEVICE_FUNC 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.

Definition at line 555 of file PermutationMatrix.h.

◆ operator+() [1/2]

template<typename DenseDerived , typename SparseDerived >

EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_sum_op<typename DenseDerived::Scalar,typename SparseDerived::Scalar>, const DenseDerived, const SparseDerived> Eigen::operator+	(	const MatrixBase< DenseDerived > &	a,
		const SparseMatrixBase< SparseDerived > &	b
	)

Definition at line 666 of file SparseCwiseBinaryOp.h.

◆ operator+() [2/2]

template<typename SparseDerived , typename DenseDerived >

EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_sum_op<typename SparseDerived::Scalar,typename DenseDerived::Scalar>, const SparseDerived, const DenseDerived> Eigen::operator+	(	const SparseMatrixBase< SparseDerived > &	a,
		const MatrixBase< DenseDerived > &	b
	)

Definition at line 673 of file SparseCwiseBinaryOp.h.

◆ operator-() [1/2]

template<typename DenseDerived , typename SparseDerived >

EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_difference_op<typename DenseDerived::Scalar,typename SparseDerived::Scalar>, const DenseDerived, const SparseDerived> Eigen::operator-	(	const MatrixBase< DenseDerived > &	a,
		const SparseMatrixBase< SparseDerived > &	b
	)

Definition at line 680 of file SparseCwiseBinaryOp.h.

◆ operator-() [2/2]

template<typename SparseDerived , typename DenseDerived >

EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_difference_op<typename SparseDerived::Scalar,typename DenseDerived::Scalar>, const SparseDerived, const DenseDerived> Eigen::operator-	(	const SparseMatrixBase< SparseDerived > &	a,
		const MatrixBase< DenseDerived > &	b
	)

Definition at line 687 of file SparseCwiseBinaryOp.h.

◆ rightHouseholderSequence()

template<typename VectorsType , typename CoeffsType >

HouseholderSequence<VectorsType,CoeffsType,OnTheRight> Eigen::rightHouseholderSequence	(	const VectorsType &	v,
		const CoeffsType &	h
	)

Convenience function for constructing a Householder sequence.

\

Returns: A HouseholderSequence constructed from the specified arguments.

This function differs from householderSequence() in that the template argument OnTheSide of the constructed HouseholderSequence is set to OnTheRight, instead of the default OnTheLeft.

Definition at line 463 of file HouseholderSequence.h.

◆ 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

Definition at line 2142 of file GeneralBlockPanelKernel.h.

◆ setNbThreads()

void Eigen::setNbThreads ( int v )

inline

Sets the max number of threads reserved for Eigen

See also: nbThreads

Definition at line 67 of file Parallelizer.h.

◆ umfpack_defaults() [1/2]

void Eigen::umfpack_defaults	(	double	control[UMFPACK_CONTROL],
		double
	)

inline

Definition at line 20 of file UmfPackSupport.h.

◆ umfpack_defaults() [2/2]

void Eigen::umfpack_defaults	(	double	control[UMFPACK_CONTROL],
		std::complex< double >
	)

inline

Definition at line 23 of file UmfPackSupport.h.

◆ umfpack_free_numeric() [1/2]

void Eigen::umfpack_free_numeric	(	void **	Numeric,
		double
	)

inline

Definition at line 26 of file UmfPackSupport.h.

◆ umfpack_free_numeric() [2/2]

void Eigen::umfpack_free_numeric	(	void **	Numeric,
		std::complex< double >
	)

inline

Definition at line 29 of file UmfPackSupport.h.

◆ umfpack_free_symbolic() [1/2]

void Eigen::umfpack_free_symbolic	(	void **	Symbolic,
		double
	)

inline

Definition at line 32 of file UmfPackSupport.h.

◆ umfpack_free_symbolic() [2/2]

void Eigen::umfpack_free_symbolic	(	void **	Symbolic,
		std::complex< double >
	)

inline

Definition at line 35 of file UmfPackSupport.h.

◆ umfpack_get_determinant() [1/2]

int Eigen::umfpack_get_determinant	(	double *	Mx,
		double *	Ex,
		void *	NumericHandle,
		double	User_Info[UMFPACK_INFO]
	)

inline

Definition at line 106 of file UmfPackSupport.h.

◆ umfpack_get_determinant() [2/2]

int Eigen::umfpack_get_determinant	(	std::complex< double > *	Mx,
		double *	Ex,
		void *	NumericHandle,
		double	User_Info[UMFPACK_INFO]
	)

inline

Definition at line 111 of file UmfPackSupport.h.

◆ umfpack_get_lunz() [1/2]

int Eigen::umfpack_get_lunz	(	int *	lnz,
		int *	unz,
		int *	n_row,
		int *	n_col,
		int *	nz_udiag,
		void *	Numeric,
		double
	)

inline

Definition at line 80 of file UmfPackSupport.h.

◆ umfpack_get_lunz() [2/2]

int Eigen::umfpack_get_lunz	(	int *	lnz,
		int *	unz,
		int *	n_row,
		int *	n_col,
		int *	nz_udiag,
		void *	Numeric,
		std::complex< double >
	)

inline

Definition at line 85 of file UmfPackSupport.h.

◆ umfpack_get_numeric() [1/2]

int Eigen::umfpack_get_numeric	(	int	Lp[],
		int	Lj[],
		double	Lx[],
		int	Up[],
		int	Ui[],
		double	Ux[],
		int	P[],
		int	Q[],
		double	Dx[],
		int *	do_recip,
		double	Rs[],
		void *	Numeric
	)

inline

Definition at line 90 of file UmfPackSupport.h.

◆ umfpack_get_numeric() [2/2]

int Eigen::umfpack_get_numeric	(	int	Lp[],
		int	Lj[],
		std::complex< double >	Lx[],
		int	Up[],
		int	Ui[],
		std::complex< double >	Ux[],
		int	P[],
		int	Q[],
		std::complex< double >	Dx[],
		int *	do_recip,
		double	Rs[],
		void *	Numeric
	)

inline

Definition at line 96 of file UmfPackSupport.h.

◆ umfpack_numeric() [1/2]

int Eigen::umfpack_numeric	(	const int	Ap[],
		const int	Ai[],
		const double	Ax[],
		void *	Symbolic,
		void **	Numeric,
		const double	Control[UMFPACK_CONTROL],
		double	Info[UMFPACK_INFO]
	)

inline

Definition at line 52 of file UmfPackSupport.h.

◆ umfpack_numeric() [2/2]

int Eigen::umfpack_numeric	(	const int	Ap[],
		const int	Ai[],
		const std::complex< double >	Ax[],
		void *	Symbolic,
		void **	Numeric,
		const double	Control[UMFPACK_CONTROL],
		double	Info[UMFPACK_INFO]
	)

inline

Definition at line 59 of file UmfPackSupport.h.

◆ umfpack_solve() [1/2]

int Eigen::umfpack_solve	(	int	sys,
		const int	Ap[],
		const int	Ai[],
		const double	Ax[],
		double	X[],
		const double	B[],
		void *	Numeric,
		const double	Control[UMFPACK_CONTROL],
		double	Info[UMFPACK_INFO]
	)

inline

Definition at line 66 of file UmfPackSupport.h.

◆ umfpack_solve() [2/2]

int Eigen::umfpack_solve	(	int	sys,
		const int	Ap[],
		const int	Ai[],
		const std::complex< double >	Ax[],
		std::complex< double >	X[],
		const std::complex< double >	B[],
		void *	Numeric,
		const double	Control[UMFPACK_CONTROL],
		double	Info[UMFPACK_INFO]
	)

inline

Definition at line 73 of file UmfPackSupport.h.

◆ umfpack_symbolic() [1/2]

int Eigen::umfpack_symbolic	(	int	n_row,
		int	n_col,
		const int	Ap[],
		const int	Ai[],
		const double	Ax[],
		void **	Symbolic,
		const double	Control[UMFPACK_CONTROL],
		double	Info[UMFPACK_INFO]
	)

inline

Definition at line 38 of file UmfPackSupport.h.

◆ umfpack_symbolic() [2/2]

int Eigen::umfpack_symbolic	(	int	n_row,
		int	n_col,
		const int	Ap[],
		const int	Ai[],
		const std::complex< double >	Ax[],
		void **	Symbolic,
		const double	Control[UMFPACK_CONTROL],
		double	Info[UMFPACK_INFO]
	)

inline

Definition at line 45 of file UmfPackSupport.h.

◆ viewAsCholmod() [1/5]

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.

Definition at line 58 of file CholmodSupport.h.

◆ viewAsCholmod() [2/5]

template<typename _Scalar , int _Options, typename _Index >

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

Definition at line 105 of file CholmodSupport.h.

◆ viewAsCholmod() [3/5]

template<typename _Scalar , int _Options, typename _Index >

const cholmod_sparse Eigen::viewAsCholmod ( const SparseVector< _Scalar, _Options, _Index > & mat )

Definition at line 112 of file CholmodSupport.h.

◆ viewAsCholmod() [4/5]

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.

Definition at line 121 of file CholmodSupport.h.

◆ viewAsCholmod() [5/5]

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.

Definition at line 134 of file CholmodSupport.h.

◆ 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.

Definition at line 155 of file CholmodSupport.h.

Variable Documentation

◆ ActualPacketAccessBit

const unsigned int Eigen::ActualPacketAccessBit = 0x0

Definition at line 102 of file Constants.h.

◆ CoherentAccessPattern

const int Eigen::CoherentAccessPattern = 0x1

Definition at line 47 of file SparseUtil.h.

◆ Dynamic

const int Eigen::Dynamic = -1

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.

Definition at line 21 of file Constants.h.

◆ DynamicIndex

const int Eigen::DynamicIndex = 0xffffff

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.

Definition at line 26 of file Constants.h.

◆ HereditaryBits

const unsigned int Eigen::HereditaryBits

Initial value:

= RowMajorBit

| EvalBeforeNestingBit

Eigen::RowMajorBit

const unsigned int RowMajorBit

Definition: Constants.h:61

Eigen::EvalBeforeNestingBit

const unsigned int EvalBeforeNestingBit

Definition: Constants.h:65

Definition at line 190 of file Constants.h.

◆ HugeCost

const int Eigen::HugeCost = 10000

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.

Definition at line 39 of file Constants.h.

◆ Infinity

const int Eigen::Infinity = -1

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.

Definition at line 31 of file Constants.h.

◆ InnerRandomAccessPattern

const int Eigen::InnerRandomAccessPattern = 0x2 | CoherentAccessPattern

Definition at line 48 of file SparseUtil.h.

◆ NestByRefBit

const unsigned int Eigen::NestByRefBit = 0x100

Definition at line 164 of file Constants.h.

◆ OuterRandomAccessPattern

const int Eigen::OuterRandomAccessPattern = 0x4 | CoherentAccessPattern

Definition at line 49 of file SparseUtil.h.

◆ RandomAccessPattern

const int Eigen::RandomAccessPattern = 0x8 | OuterRandomAccessPattern | InnerRandomAccessPattern

Definition at line 50 of file SparseUtil.h.

Namespaces

Classes

Typedefs

Enumerations

Functions

Variables

Typedef Documentation

◆ BlasIndex

◆ dcomplex

◆ DenseIndex

◆ Index

◆ scomplex

Enumeration Type Documentation

◆ anonymous enum

◆ anonymous enum

◆ anonymous enum

◆ anonymous enum

◆ Action

◆ AmbiVectorMode

◆ CholmodMode

◆ Default_t

◆ NoChange_t

◆ ProductImplType

◆ Sequential_t

◆ SimplicialCholeskyMode

◆ SpecializedType

◆ TraversalType

◆ UnrollingType

Function Documentation

◆ EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE()

◆ EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE()

◆ householderSequence()

◆ initParallel()

◆ l1CacheSize()

◆ l2CacheSize()

◆ l3CacheSize()

◆ nbThreads()

◆ operator*() [1/9]

◆ operator*() [2/9]

◆ operator*() [3/9]

◆ operator*() [4/9]

◆ operator*() [5/9]

◆ operator*() [6/9]

◆ operator*() [7/9]

◆ operator*() [8/9]

◆ operator*() [9/9]

◆ operator+() [1/2]

◆ operator+() [2/2]

◆ operator-() [1/2]

◆ operator-() [2/2]

◆ rightHouseholderSequence()

◆ setCpuCacheSizes()

◆ setNbThreads()

◆ umfpack_defaults() [1/2]

◆ umfpack_defaults() [2/2]

◆ umfpack_free_numeric() [1/2]

◆ umfpack_free_numeric() [2/2]

◆ umfpack_free_symbolic() [1/2]

◆ umfpack_free_symbolic() [2/2]

◆ umfpack_get_determinant() [1/2]

◆ umfpack_get_determinant() [2/2]

◆ umfpack_get_lunz() [1/2]

◆ umfpack_get_lunz() [2/2]

◆ umfpack_get_numeric() [1/2]

◆ umfpack_get_numeric() [2/2]

◆ umfpack_numeric() [1/2]

◆ umfpack_numeric() [2/2]

◆ umfpack_solve() [1/2]

◆ umfpack_solve() [2/2]

◆ umfpack_symbolic() [1/2]

◆ umfpack_symbolic() [2/2]

◆ viewAsCholmod() [1/5]

◆ viewAsCholmod() [2/5]

◆ viewAsCholmod() [3/5]

◆ viewAsCholmod() [4/5]

◆ viewAsCholmod() [5/5]

◆ viewAsEigen()

Variable Documentation

◆ ActualPacketAccessBit

◆ CoherentAccessPattern