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

#include <DenseBase.h>

Inheritance diagram for Eigen::DenseBase< Derived >:

[legend]

Classes
struct	ConstFixedBlockXpr

struct	ConstFixedSegmentReturnType

struct	ConstNColsBlockXpr

struct	ConstNRowsBlockXpr

struct	FixedBlockXpr

struct	FixedSegmentReturnType

struct	NColsBlockXpr

struct	NRowsBlockXpr

Public Types
enum	{ RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime, ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime, SizeAtCompileTime, MaxRowsAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime, MaxColsAtCompileTime = internal::traits<Derived>::MaxColsAtCompileTime, MaxSizeAtCompileTime, IsVectorAtCompileTime, Flags = internal::traits<Derived>::Flags, IsRowMajor = int(Flags) & RowMajorBit, InnerSizeAtCompileTime, InnerStrideAtCompileTime = internal::inner_stride_at_compile_time<Derived>::ret, OuterStrideAtCompileTime = internal::outer_stride_at_compile_time<Derived>::ret }

enum	{ IsPlainObjectBase = 0 }

typedef DenseCoeffsBase< Derived >	Base

typedef Block< Derived >	BlockXpr

typedef Base::CoeffReturnType	CoeffReturnType

typedef Block< Derived, internal::traits< Derived >::RowsAtCompileTime, Dynamic,!IsRowMajor >	ColsBlockXpr

typedef VectorwiseOp< Derived, Vertical >	ColwiseReturnType

typedef Block< Derived, internal::traits< Derived >::RowsAtCompileTime, 1,!IsRowMajor >	ColXpr

typedef CwiseNullaryOp< internal::scalar_constant_op< Scalar >, PlainObject >	ConstantReturnType

typedef const Block< const Derived >	ConstBlockXpr

typedef const Block< const Derived, internal::traits< Derived >::RowsAtCompileTime, Dynamic,!IsRowMajor >	ConstColsBlockXpr

typedef const VectorwiseOp< const Derived, Vertical >	ConstColwiseReturnType

typedef const Block< const Derived, internal::traits< Derived >::RowsAtCompileTime, 1,!IsRowMajor >	ConstColXpr

typedef const Reverse< const Derived, BothDirections >	ConstReverseReturnType

typedef const Block< const Derived, Dynamic, internal::traits< Derived >::ColsAtCompileTime, IsRowMajor >	ConstRowsBlockXpr

typedef const VectorwiseOp< const Derived, Horizontal >	ConstRowwiseReturnType

typedef const Block< const Derived, 1, internal::traits< Derived >::ColsAtCompileTime, IsRowMajor >	ConstRowXpr

typedef const VectorBlock< const Derived >	ConstSegmentReturnType

typedef internal::add_const< Transpose< const Derived > >::type	ConstTransposeReturnType

typedef Matrix< typename NumTraits< typename internal::traits< Derived >::Scalar >::Real, internal::traits< Derived >::ColsAtCompileTime, 1 >	EigenvaluesReturnType

typedef internal::add_const_on_value_type< typename internal::eval< Derived >::type >::type	EvalReturnType

typedef Eigen::InnerIterator< Derived >	InnerIterator

typedef internal::find_best_packet< Scalar, SizeAtCompileTime >::type	PacketScalar

typedef Array< typename internal::traits< Derived >::Scalar, internal::traits< Derived >::RowsAtCompileTime, internal::traits< Derived >::ColsAtCompileTime, AutoAlign\|(internal::traits< Derived >::Flags &RowMajorBit?RowMajor:ColMajor), internal::traits< Derived >::MaxRowsAtCompileTime, internal::traits< Derived >::MaxColsAtCompileTime >	PlainArray

typedef Matrix< typename internal::traits< Derived >::Scalar, internal::traits< Derived >::RowsAtCompileTime, internal::traits< Derived >::ColsAtCompileTime, AutoAlign\|(internal::traits< Derived >::Flags &RowMajorBit?RowMajor:ColMajor), internal::traits< Derived >::MaxRowsAtCompileTime, internal::traits< Derived >::MaxColsAtCompileTime >	PlainMatrix

typedef internal::conditional< internal::is_same< typename internal::traits< Derived >::XprKind, MatrixXpr >::value, PlainMatrix, PlainArray >::type	PlainObject
	The plain matrix or array type corresponding to this expression. More...

typedef CwiseNullaryOp< internal::linspaced_op< Scalar, PacketScalar >, PlainObject >	RandomAccessLinSpacedReturnType

typedef CwiseNullaryOp< internal::scalar_random_op< Scalar >, PlainObject >	RandomReturnType

typedef NumTraits< Scalar >::Real	RealScalar

typedef Reverse< Derived, BothDirections >	ReverseReturnType

typedef Block< Derived, Dynamic, internal::traits< Derived >::ColsAtCompileTime, IsRowMajor >	RowsBlockXpr

typedef VectorwiseOp< Derived, Horizontal >	RowwiseReturnType

typedef Block< Derived, 1, internal::traits< Derived >::ColsAtCompileTime, IsRowMajor >	RowXpr

typedef internal::traits< Derived >::Scalar	Scalar

typedef VectorBlock< Derived >	SegmentReturnType

typedef CwiseNullaryOp< internal::linspaced_op< Scalar, PacketScalar >, PlainObject >	SequentialLinSpacedReturnType

typedef internal::traits< Derived >::StorageIndex	StorageIndex
	The type used to store indices. More...

typedef internal::traits< Derived >::StorageKind	StorageKind

typedef Transpose< Derived >	TransposeReturnType

typedef Scalar	value_type

Public Member Functions
EIGEN_DEVICE_FUNC bool	all () const

bool	allFinite () const

EIGEN_DEVICE_FUNC bool	any () const

EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL EIGEN_DEVICE_FUNC BlockXpr	block (Index startRow, Index startCol, Index blockRows, Index blockCols)

EIGEN_DEVICE_FUNC const ConstBlockXpr	block (Index startRow, Index startCol, Index blockRows, Index blockCols) const
	This is the const version of block(Index,Index,Index,Index). */. More...

template<int NRows, int NCols>
EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL EIGEN_DEVICE_FUNC FixedBlockXpr< NRows, NCols >::Type	block (Index startRow, Index startCol)

template<int NRows, int NCols>
EIGEN_DEVICE_FUNC const ConstFixedBlockXpr< NRows, NCols >::Type	block (Index startRow, Index startCol) const
	This is the const version of block<>(Index, Index). */. More...

template<int NRows, int NCols>
EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL FixedBlockXpr< NRows, NCols >::Type	block (Index startRow, Index startCol, Index blockRows, Index blockCols)

template<int NRows, int NCols>
const ConstFixedBlockXpr< NRows, NCols >::Type	block (Index startRow, Index startCol, Index blockRows, Index blockCols) const
	This is the const version of block<>(Index, Index, Index, Index). More...

EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL EIGEN_DEVICE_FUNC BlockXpr	bottomLeftCorner (Index cRows, Index cCols)

EIGEN_DEVICE_FUNC const ConstBlockXpr	bottomLeftCorner (Index cRows, Index cCols) const
	This is the const version of bottomLeftCorner(Index, Index). More...

template<int CRows, int CCols>
EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL EIGEN_DEVICE_FUNC FixedBlockXpr< CRows, CCols >::Type	bottomLeftCorner ()

template<int CRows, int CCols>
EIGEN_DEVICE_FUNC const ConstFixedBlockXpr< CRows, CCols >::Type	bottomLeftCorner () const
	This is the const version of bottomLeftCorner<int, int>(). More...

template<int CRows, int CCols>
EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL FixedBlockXpr< CRows, CCols >::Type	bottomLeftCorner (Index cRows, Index cCols)

template<int CRows, int CCols>
const ConstFixedBlockXpr< CRows, CCols >::Type	bottomLeftCorner (Index cRows, Index cCols) const
	This is the const version of bottomLeftCorner<int, int>(Index, Index). More...

EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL EIGEN_DEVICE_FUNC BlockXpr	bottomRightCorner (Index cRows, Index cCols)

EIGEN_DEVICE_FUNC const ConstBlockXpr	bottomRightCorner (Index cRows, Index cCols) const
	This is the const version of bottomRightCorner(Index, Index). More...

template<int CRows, int CCols>
EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL EIGEN_DEVICE_FUNC FixedBlockXpr< CRows, CCols >::Type	bottomRightCorner ()

template<int CRows, int CCols>
EIGEN_DEVICE_FUNC const ConstFixedBlockXpr< CRows, CCols >::Type	bottomRightCorner () const
	This is the const version of bottomRightCorner<int, int>(). More...

template<int CRows, int CCols>
EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL FixedBlockXpr< CRows, CCols >::Type	bottomRightCorner (Index cRows, Index cCols)

template<int CRows, int CCols>
const ConstFixedBlockXpr< CRows, CCols >::Type	bottomRightCorner (Index cRows, Index cCols) const
	This is the const version of bottomRightCorner<int, int>(Index, Index). More...

EIGEN_DEVICE_FUNC RowsBlockXpr	bottomRows (Index n)

EIGEN_DEVICE_FUNC ConstRowsBlockXpr	bottomRows (Index n) const
	This is the const version of bottomRows(Index). More...

template<int N>
EIGEN_DEVICE_FUNC NRowsBlockXpr< N >::Type	bottomRows (Index n=N)

template<int N>
EIGEN_DEVICE_FUNC ConstNRowsBlockXpr< N >::Type	bottomRows (Index n=N) const
	This is the const version of bottomRows<int>(). More...

EIGEN_DEVICE_FUNC ColXpr	col (Index i)

EIGEN_DEVICE_FUNC ConstColXpr	col (Index i) const
	This is the const version of col(). More...

EIGEN_DEVICE_FUNC ConstColwiseReturnType	colwise () const

EIGEN_DEVICE_FUNC ColwiseReturnType	colwise ()

EIGEN_DEVICE_FUNC Index	count () const

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EvalReturnType	eval () const

template<typename Dest >
EIGEN_DEVICE_FUNC void	evalTo (Dest &) const

EIGEN_DEVICE_FUNC void	fill (const Scalar &value)

template<unsigned int Added, unsigned int Removed>
EIGEN_DEPRECATED const Derived &	flagged () const

EIGEN_DEVICE_FUNC const ForceAlignedAccess< Derived >	forceAlignedAccess () const

EIGEN_DEVICE_FUNC ForceAlignedAccess< Derived >	forceAlignedAccess ()

template<bool Enable>
EIGEN_DEVICE_FUNC const internal::conditional< Enable, ForceAlignedAccess< Derived >, Derived & >::type	forceAlignedAccessIf () const

template<bool Enable>
EIGEN_DEVICE_FUNC internal::conditional< Enable, ForceAlignedAccess< Derived >, Derived & >::type	forceAlignedAccessIf ()

const WithFormat< Derived >	format (const IOFormat &fmt) const

bool	hasNaN () const

EIGEN_DEVICE_FUNC SegmentReturnType	head (Index n)

EIGEN_DEVICE_FUNC ConstSegmentReturnType	head (Index n) const
	This is the const version of head(Index). More...

template<int N>
EIGEN_DEVICE_FUNC FixedSegmentReturnType< N >::Type	head (Index n=N)

template<int N>
EIGEN_DEVICE_FUNC ConstFixedSegmentReturnType< N >::Type	head (Index n=N) const
	This is the const version of head<int>(). More...

EIGEN_DEVICE_FUNC Index	innerSize () const

template<typename OtherDerived >
bool	isApprox (const DenseBase< OtherDerived > &other, const RealScalar &prec) const

template<typename OtherDerived >
EIGEN_DEVICE_FUNC bool	isApprox (const DenseBase< OtherDerived > &other, const RealScalar &prec=NumTraits< Scalar >::dummy_precision()) const

EIGEN_DEVICE_FUNC bool	isApproxToConstant (const Scalar &value, const RealScalar &prec=NumTraits< Scalar >::dummy_precision()) const

EIGEN_DEVICE_FUNC bool	isConstant (const Scalar &value, const RealScalar &prec=NumTraits< Scalar >::dummy_precision()) const

template<typename Derived >
bool	isMuchSmallerThan (const typename NumTraits< Scalar >::Real &other, const RealScalar &prec) const

template<typename OtherDerived >
bool	isMuchSmallerThan (const DenseBase< OtherDerived > &other, const RealScalar &prec) const

EIGEN_DEVICE_FUNC bool	isMuchSmallerThan (const RealScalar &other, const RealScalar &prec=NumTraits< Scalar >::dummy_precision()) const

template<typename OtherDerived >
EIGEN_DEVICE_FUNC bool	isMuchSmallerThan (const DenseBase< OtherDerived > &other, const RealScalar &prec=NumTraits< Scalar >::dummy_precision()) const

EIGEN_DEVICE_FUNC bool	isOnes (const RealScalar &prec=NumTraits< Scalar >::dummy_precision()) const

EIGEN_DEVICE_FUNC bool	isZero (const RealScalar &prec=NumTraits< Scalar >::dummy_precision()) const

template<typename OtherDerived >
EIGEN_STRONG_INLINE Derived &	lazyAssign (const DenseBase< OtherDerived > &other)

template<typename OtherDerived >
EIGEN_DEVICE_FUNC Derived &	lazyAssign (const DenseBase< OtherDerived > &other)

EIGEN_DEVICE_FUNC ColsBlockXpr	leftCols (Index n)

EIGEN_DEVICE_FUNC ConstColsBlockXpr	leftCols (Index n) const
	This is the const version of leftCols(Index). More...

template<int N>
EIGEN_DEVICE_FUNC NColsBlockXpr< N >::Type	leftCols (Index n=N)

template<int N>
EIGEN_DEVICE_FUNC ConstNColsBlockXpr< N >::Type	leftCols (Index n=N) const
	This is the const version of leftCols<int>(). More...

template<int p>
RealScalar	lpNorm () const

EIGEN_DEVICE_FUNC internal::traits< Derived >::Scalar	maxCoeff () const

template<typename IndexType >
EIGEN_DEVICE_FUNC internal::traits< Derived >::Scalar	maxCoeff (IndexType row, IndexType col) const

template<typename IndexType >
EIGEN_DEVICE_FUNC internal::traits< Derived >::Scalar	maxCoeff (IndexType *index) const

EIGEN_DEVICE_FUNC Scalar	mean () const

EIGEN_DEVICE_FUNC ColsBlockXpr	middleCols (Index startCol, Index numCols)

EIGEN_DEVICE_FUNC ConstColsBlockXpr	middleCols (Index startCol, Index numCols) const
	This is the const version of middleCols(Index,Index). More...

template<int N>
EIGEN_DEVICE_FUNC NColsBlockXpr< N >::Type	middleCols (Index startCol, Index n=N)

template<int N>
EIGEN_DEVICE_FUNC ConstNColsBlockXpr< N >::Type	middleCols (Index startCol, Index n=N) const
	This is the const version of middleCols<int>(). More...

EIGEN_DEVICE_FUNC RowsBlockXpr	middleRows (Index startRow, Index n)

EIGEN_DEVICE_FUNC ConstRowsBlockXpr	middleRows (Index startRow, Index n) const
	This is the const version of middleRows(Index,Index). More...

template<int N>
EIGEN_DEVICE_FUNC NRowsBlockXpr< N >::Type	middleRows (Index startRow, Index n=N)

template<int N>
EIGEN_DEVICE_FUNC ConstNRowsBlockXpr< N >::Type	middleRows (Index startRow, Index n=N) const
	This is the const version of middleRows<int>(). More...

EIGEN_DEVICE_FUNC internal::traits< Derived >::Scalar	minCoeff () const

template<typename IndexType >
EIGEN_DEVICE_FUNC internal::traits< Derived >::Scalar	minCoeff (IndexType row, IndexType col) const

template<typename IndexType >
EIGEN_DEVICE_FUNC internal::traits< Derived >::Scalar	minCoeff (IndexType *index) const

EIGEN_DEVICE_FUNC const NestByValue< Derived >	nestByValue () const

EIGEN_DEVICE_FUNC Index	nonZeros () const

template<typename CustomNullaryOp >
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const CwiseNullaryOp< CustomNullaryOp, typename DenseBase< Derived >::PlainObject >	NullaryExpr (Index rows, Index cols, const CustomNullaryOp &func)

template<typename CustomNullaryOp >
EIGEN_STRONG_INLINE const CwiseNullaryOp< CustomNullaryOp, typename DenseBase< Derived >::PlainObject >	NullaryExpr (Index size, const CustomNullaryOp &func)

template<typename CustomNullaryOp >
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const CwiseNullaryOp< CustomNullaryOp, typename DenseBase< Derived >::PlainObject >	NullaryExpr (const CustomNullaryOp &func)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived &	operator*= (const Scalar &other)

template<typename OtherDerived >
EIGEN_DEVICE_FUNC Derived &	operator+= (const EigenBase< OtherDerived > &other)

template<typename OtherDerived >
EIGEN_DEVICE_FUNC Derived &	operator-= (const EigenBase< OtherDerived > &other)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived &	operator/= (const Scalar &other)

template<typename OtherDerived >
CommaInitializer< Derived >	operator<< (const DenseBase< OtherDerived > &other)

EIGEN_DEVICE_FUNC CommaInitializer< Derived >	operator<< (const Scalar &s)

template<typename OtherDerived >
EIGEN_DEVICE_FUNC CommaInitializer< Derived >	operator<< (const DenseBase< OtherDerived > &other)

template<typename OtherDerived >
Derived &	operator= (const ReturnByValue< OtherDerived > &other)

template<typename OtherDerived >
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived &	operator= (const DenseBase< OtherDerived > &other)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived &	operator= (const DenseBase &other)

template<typename OtherDerived >
EIGEN_DEVICE_FUNC Derived &	operator= (const EigenBase< OtherDerived > &other)
	Copies the generic expression other into *this. More...

template<typename OtherDerived >
EIGEN_DEVICE_FUNC Derived &	operator= (const ReturnByValue< OtherDerived > &func)

EIGEN_DEVICE_FUNC Index	outerSize () const

EIGEN_DEVICE_FUNC Scalar	prod () const

template<typename Func >
EIGEN_STRONG_INLINE internal::traits< Derived >::Scalar	redux (const Func &func) const

template<typename BinaryOp >
EIGEN_DEVICE_FUNC Scalar	redux (const BinaryOp &func) const

template<int RowFactor, int ColFactor>
const Replicate< Derived, RowFactor, ColFactor >	replicate () const

template<int RowFactor, int ColFactor>
EIGEN_DEVICE_FUNC const Replicate< Derived, RowFactor, ColFactor >	replicate () const

EIGEN_DEVICE_FUNC const Replicate< Derived, Dynamic, Dynamic >	replicate (Index rowFactor, Index colFactor) const

EIGEN_DEVICE_FUNC void	resize (Index newSize)

EIGEN_DEVICE_FUNC void	resize (Index rows, Index cols)

EIGEN_DEVICE_FUNC ReverseReturnType	reverse ()

EIGEN_DEVICE_FUNC ConstReverseReturnType	reverse () const

EIGEN_DEVICE_FUNC void	reverseInPlace ()

EIGEN_DEVICE_FUNC ColsBlockXpr	rightCols (Index n)

EIGEN_DEVICE_FUNC ConstColsBlockXpr	rightCols (Index n) const
	This is the const version of rightCols(Index). More...

template<int N>
EIGEN_DEVICE_FUNC NColsBlockXpr< N >::Type	rightCols (Index n=N)

template<int N>
EIGEN_DEVICE_FUNC ConstNColsBlockXpr< N >::Type	rightCols (Index n=N) const
	This is the const version of rightCols<int>(). More...

EIGEN_DEVICE_FUNC RowXpr	row (Index i)

EIGEN_DEVICE_FUNC ConstRowXpr	row (Index i) const
	This is the const version of row(). */. More...

EIGEN_DEVICE_FUNC ConstRowwiseReturnType	rowwise () const

EIGEN_DEVICE_FUNC RowwiseReturnType	rowwise ()

EIGEN_DEVICE_FUNC SegmentReturnType	segment (Index start, Index n)

EIGEN_DEVICE_FUNC ConstSegmentReturnType	segment (Index start, Index n) const
	This is the const version of segment(Index,Index). More...

template<int N>
EIGEN_DEVICE_FUNC FixedSegmentReturnType< N >::Type	segment (Index start, Index n=N)

template<int N>
EIGEN_DEVICE_FUNC ConstFixedSegmentReturnType< N >::Type	segment (Index start, Index n=N) const
	This is the const version of segment<int>(Index). More...

template<typename ThenDerived , typename ElseDerived >
const Select< Derived, ThenDerived, ElseDerived >	select (const DenseBase< ThenDerived > &thenMatrix, const DenseBase< ElseDerived > &elseMatrix) const

template<typename ThenDerived >
const Select< Derived, ThenDerived, typename ThenDerived::ConstantReturnType >	select (const DenseBase< ThenDerived > &thenMatrix, const typename ThenDerived::Scalar &elseScalar) const

template<typename ElseDerived >
const Select< Derived, typename ElseDerived::ConstantReturnType, ElseDerived >	select (const typename ElseDerived::Scalar &thenScalar, const DenseBase< ElseDerived > &elseMatrix) const

EIGEN_DEVICE_FUNC Derived &	setConstant (const Scalar &value)

EIGEN_DEVICE_FUNC Derived &	setLinSpaced (Index size, const Scalar &low, const Scalar &high)
	Sets a linearly spaced vector. More...

EIGEN_DEVICE_FUNC Derived &	setLinSpaced (const Scalar &low, const Scalar &high)
	Sets a linearly spaced vector. More...

EIGEN_DEVICE_FUNC Derived &	setOnes ()

EIGEN_DEVICE_FUNC Derived &	setRandom ()

EIGEN_DEVICE_FUNC Derived &	setZero ()

EIGEN_DEVICE_FUNC Scalar	sum () const

template<typename OtherDerived >
EIGEN_DEVICE_FUNC void	swap (const DenseBase< OtherDerived > &other)

template<typename OtherDerived >
EIGEN_DEVICE_FUNC void	swap (PlainObjectBase< OtherDerived > &other)

EIGEN_DEVICE_FUNC SegmentReturnType	tail (Index n)

EIGEN_DEVICE_FUNC ConstSegmentReturnType	tail (Index n) const
	This is the const version of tail(Index). More...

template<int N>
EIGEN_DEVICE_FUNC FixedSegmentReturnType< N >::Type	tail (Index n=N)

template<int N>
EIGEN_DEVICE_FUNC ConstFixedSegmentReturnType< N >::Type	tail (Index n=N) const
	This is the const version of tail<int>. More...

EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL EIGEN_DEVICE_FUNC BlockXpr	topLeftCorner (Index cRows, Index cCols)

EIGEN_DEVICE_FUNC const ConstBlockXpr	topLeftCorner (Index cRows, Index cCols) const
	This is the const version of topLeftCorner(Index, Index). More...

template<int CRows, int CCols>
EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL EIGEN_DEVICE_FUNC FixedBlockXpr< CRows, CCols >::Type	topLeftCorner ()

template<int CRows, int CCols>
EIGEN_DEVICE_FUNC const ConstFixedBlockXpr< CRows, CCols >::Type	topLeftCorner () const
	This is the const version of topLeftCorner<int, int>(). More...

template<int CRows, int CCols>
EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL FixedBlockXpr< CRows, CCols >::Type	topLeftCorner (Index cRows, Index cCols)

template<int CRows, int CCols>
const ConstFixedBlockXpr< CRows, CCols >::Type	topLeftCorner (Index cRows, Index cCols) const
	This is the const version of topLeftCorner<int, int>(Index, Index). More...

EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL EIGEN_DEVICE_FUNC BlockXpr	topRightCorner (Index cRows, Index cCols)

EIGEN_DEVICE_FUNC const ConstBlockXpr	topRightCorner (Index cRows, Index cCols) const
	This is the const version of topRightCorner(Index, Index). More...

template<int CRows, int CCols>
EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL EIGEN_DEVICE_FUNC FixedBlockXpr< CRows, CCols >::Type	topRightCorner ()

template<int CRows, int CCols>
EIGEN_DEVICE_FUNC const ConstFixedBlockXpr< CRows, CCols >::Type	topRightCorner () const
	This is the const version of topRightCorner<int, int>(). More...

template<int CRows, int CCols>
EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL FixedBlockXpr< CRows, CCols >::Type	topRightCorner (Index cRows, Index cCols)

template<int CRows, int CCols>
const ConstFixedBlockXpr< CRows, CCols >::Type	topRightCorner (Index cRows, Index cCols) const
	This is the const version of topRightCorner<int, int>(Index, Index). More...

EIGEN_DEVICE_FUNC RowsBlockXpr	topRows (Index n)

EIGEN_DEVICE_FUNC ConstRowsBlockXpr	topRows (Index n) const
	This is the const version of topRows(Index). More...

template<int N>
EIGEN_DEVICE_FUNC NRowsBlockXpr< N >::Type	topRows (Index n=N)

template<int N>
EIGEN_DEVICE_FUNC ConstNRowsBlockXpr< N >::Type	topRows (Index n=N) const
	This is the const version of topRows<int>(). More...

EIGEN_DEVICE_FUNC Scalar	trace () const

EIGEN_DEVICE_FUNC TransposeReturnType	transpose ()

EIGEN_DEVICE_FUNC ConstTransposeReturnType	transpose () const

EIGEN_DEVICE_FUNC void	transposeInPlace ()

EIGEN_DEVICE_FUNC CoeffReturnType	value () const

template<typename Visitor >
EIGEN_DEVICE_FUNC void	visit (Visitor &func) const

Static Public Member Functions
static EIGEN_DEVICE_FUNC const ConstantReturnType	Constant (Index rows, Index cols, const Scalar &value)

static EIGEN_DEVICE_FUNC const ConstantReturnType	Constant (Index size, const Scalar &value)

static EIGEN_DEVICE_FUNC const ConstantReturnType	Constant (const Scalar &value)

static EIGEN_DEVICE_FUNC const SequentialLinSpacedReturnType	LinSpaced (Sequential_t, Index size, const Scalar &low, const Scalar &high)

static EIGEN_DEVICE_FUNC const RandomAccessLinSpacedReturnType	LinSpaced (Index size, const Scalar &low, const Scalar &high)
	Sets a linearly spaced vector. More...

static EIGEN_DEVICE_FUNC const SequentialLinSpacedReturnType	LinSpaced (Sequential_t, const Scalar &low, const Scalar &high)

static EIGEN_DEVICE_FUNC const RandomAccessLinSpacedReturnType	LinSpaced (const Scalar &low, const Scalar &high)
	Sets a linearly spaced vector. More...

template<typename CustomNullaryOp >
static EIGEN_DEVICE_FUNC const CwiseNullaryOp< CustomNullaryOp, PlainObject >	NullaryExpr (Index rows, Index cols, const CustomNullaryOp &func)

template<typename CustomNullaryOp >
static EIGEN_DEVICE_FUNC const CwiseNullaryOp< CustomNullaryOp, PlainObject >	NullaryExpr (Index size, const CustomNullaryOp &func)

template<typename CustomNullaryOp >
static EIGEN_DEVICE_FUNC const CwiseNullaryOp< CustomNullaryOp, PlainObject >	NullaryExpr (const CustomNullaryOp &func)

static EIGEN_DEVICE_FUNC const ConstantReturnType	Ones (Index rows, Index cols)

static EIGEN_DEVICE_FUNC const ConstantReturnType	Ones (Index size)

static EIGEN_DEVICE_FUNC const ConstantReturnType	Ones ()

static const RandomReturnType	Random (Index rows, Index cols)

static const RandomReturnType	Random (Index size)

static const RandomReturnType	Random ()

static EIGEN_DEVICE_FUNC const ConstantReturnType	Zero (Index rows, Index cols)

static EIGEN_DEVICE_FUNC const ConstantReturnType	Zero (Index size)

static EIGEN_DEVICE_FUNC const ConstantReturnType	Zero ()

Protected Member Functions
EIGEN_DEVICE_FUNC	DenseBase ()

Private Member Functions
EIGEN_DEVICE_FUNC	DenseBase (int)

EIGEN_DEVICE_FUNC	DenseBase (int, int)

template<typename OtherDerived >
EIGEN_DEVICE_FUNC	DenseBase (const DenseBase< OtherDerived > &)

Related Functions
(Note that these are not member functions.)
template<typename Derived >
std::ostream &	operator<< (std::ostream &s, const DenseBase< Derived > &m)

Detailed Description

template<typename Derived>
class Eigen::DenseBase< Derived >

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

This class is the base that is inherited by all dense objects (matrix, vector, arrays, and related expression types). The common Eigen API for dense objects is contained in this class.

Template Parameters

Derived is the derived type, e.g., a matrix type or an expression.

This class can be extended with the help of the plugin mechanism described on the page Extending MatrixBase (and other classes) by defining the preprocessor symbol EIGEN_DENSEBASE_PLUGIN.

See also: The class hierarchy

Definition at line 41 of file DenseBase.h.

Member Typedef Documentation

template<typename Derived>

typedef DenseCoeffsBase<Derived> Eigen::DenseBase< Derived >::Base

Definition at line 74 of file DenseBase.h.

template<typename Derived>

typedef Block<Derived> Eigen::DenseBase< Derived >::BlockXpr

Definition at line 33 of file DenseBase.h.

template<typename Derived>

typedef Base::CoeffReturnType Eigen::DenseBase< Derived >::CoeffReturnType

Definition at line 96 of file DenseBase.h.

template<typename Derived>

typedef Block<Derived, internal::traits<Derived>::RowsAtCompileTime, Dynamic, !IsRowMajor> Eigen::DenseBase< Derived >::ColsBlockXpr

Definition at line 21 of file DenseBase.h.

template<typename Derived>

typedef VectorwiseOp<Derived, Vertical> Eigen::DenseBase< Derived >::ColwiseReturnType

Definition at line 493 of file DenseBase.h.

template<typename Derived>

typedef Block<Derived, internal::traits<Derived>::RowsAtCompileTime, 1, !IsRowMajor> Eigen::DenseBase< Derived >::ColXpr

Definition at line 15 of file DenseBase.h.

template<typename Derived>

typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,PlainObject> Eigen::DenseBase< Derived >::ConstantReturnType

Definition at line 262 of file DenseBase.h.

template<typename Derived>

typedef const Block<const Derived> Eigen::DenseBase< Derived >::ConstBlockXpr

Definition at line 34 of file DenseBase.h.

template<typename Derived>

typedef const Block<const Derived, internal::traits<Derived>::RowsAtCompileTime, Dynamic, !IsRowMajor> Eigen::DenseBase< Derived >::ConstColsBlockXpr

Definition at line 22 of file DenseBase.h.

template<typename Derived>

typedef const VectorwiseOp<const Derived, Vertical> Eigen::DenseBase< Derived >::ConstColwiseReturnType

Definition at line 494 of file DenseBase.h.

template<typename Derived>

typedef const Block<const Derived, internal::traits<Derived>::RowsAtCompileTime, 1, !IsRowMajor> Eigen::DenseBase< Derived >::ConstColXpr

Definition at line 16 of file DenseBase.h.

template<typename Derived>

typedef const Reverse<const Derived, BothDirections> Eigen::DenseBase< Derived >::ConstReverseReturnType

Definition at line 560 of file DenseBase.h.

template<typename Derived>

typedef const Block<const Derived, Dynamic, internal::traits<Derived>::ColsAtCompileTime, IsRowMajor> Eigen::DenseBase< Derived >::ConstRowsBlockXpr

Definition at line 25 of file DenseBase.h.

template<typename Derived>

typedef const VectorwiseOp<const Derived, Horizontal> Eigen::DenseBase< Derived >::ConstRowwiseReturnType

Definition at line 492 of file DenseBase.h.

template<typename Derived>

typedef const Block<const Derived, 1, internal::traits<Derived>::ColsAtCompileTime, IsRowMajor> Eigen::DenseBase< Derived >::ConstRowXpr

Definition at line 19 of file DenseBase.h.

template<typename Derived>

typedef const VectorBlock<const Derived> Eigen::DenseBase< Derived >::ConstSegmentReturnType

Definition at line 40 of file DenseBase.h.

template<typename Derived>

typedef internal::add_const<Transpose<const Derived> >::type Eigen::DenseBase< Derived >::ConstTransposeReturnType

Definition at line 322 of file DenseBase.h.

template<typename Derived>

typedef Matrix<typename NumTraits<typename internal::traits<Derived>::Scalar>::Real, internal::traits<Derived>::ColsAtCompileTime, 1> Eigen::DenseBase< Derived >::EigenvaluesReturnType

Definition at line 268 of file DenseBase.h.

template<typename Derived>

typedef internal::add_const_on_value_type<typename internal::eval<Derived>::type>::type Eigen::DenseBase< Derived >::EvalReturnType

Definition at line 392 of file DenseBase.h.

template<typename Derived>

typedef Eigen::InnerIterator<Derived> Eigen::DenseBase< Derived >::InnerIterator

Inner iterator type to iterate over the coefficients of a row or column.

See also: class InnerIterator

Definition at line 53 of file DenseBase.h.

template<typename Derived>

typedef internal::find_best_packet<Scalar,SizeAtCompileTime>::type Eigen::DenseBase< Derived >::PacketScalar

Definition at line 174 of file DenseBase.h.

template<typename Derived>

typedef Array<typename internal::traits<Derived>::Scalar, internal::traits<Derived>::RowsAtCompileTime, internal::traits<Derived>::ColsAtCompileTime, AutoAlign | (internal::traits<Derived>::Flags&RowMajorBit ? RowMajor : ColMajor), internal::traits<Derived>::MaxRowsAtCompileTime, internal::traits<Derived>::MaxColsAtCompileTime > Eigen::DenseBase< Derived >::PlainArray

The plain array type corresponding to this expression.

See also: PlainObject

Definition at line 196 of file DenseBase.h.

template<typename Derived>

typedef Matrix<typename internal::traits<Derived>::Scalar, internal::traits<Derived>::RowsAtCompileTime, internal::traits<Derived>::ColsAtCompileTime, AutoAlign | (internal::traits<Derived>::Flags&RowMajorBit ? RowMajor : ColMajor), internal::traits<Derived>::MaxRowsAtCompileTime, internal::traits<Derived>::MaxColsAtCompileTime > Eigen::DenseBase< Derived >::PlainMatrix

The plain matrix type corresponding to this expression.

See also: PlainObject

Definition at line 186 of file DenseBase.h.

template<typename Derived>

typedef internal::conditional<internal::is_same<typename internal::traits<Derived>::XprKind,MatrixXpr >::value, PlainMatrix, PlainArray>::type Eigen::DenseBase< Derived >::PlainObject

The plain matrix or array type corresponding to this expression.

This is not necessarily exactly the return type of eval(). In the case of plain matrices, the return type of eval() is a const reference to a matrix, not a matrix! It is however guaranteed that the return type of eval() is either PlainObject or const PlainObject&.

Definition at line 205 of file DenseBase.h.

template<typename Derived>

typedef CwiseNullaryOp<internal::linspaced_op<Scalar,PacketScalar>,PlainObject> Eigen::DenseBase< Derived >::RandomAccessLinSpacedReturnType

Definition at line 266 of file DenseBase.h.

template<typename Derived>

typedef CwiseNullaryOp<internal::scalar_random_op<Scalar>,PlainObject> Eigen::DenseBase< Derived >::RandomReturnType

Definition at line 521 of file DenseBase.h.

template<typename Derived>

typedef NumTraits<Scalar>::Real Eigen::DenseBase< Derived >::RealScalar

Definition at line 73 of file DenseBase.h.

template<typename Derived>

typedef Reverse<Derived, BothDirections> Eigen::DenseBase< Derived >::ReverseReturnType

Definition at line 559 of file DenseBase.h.

template<typename Derived>

typedef Block<Derived, Dynamic, internal::traits<Derived>::ColsAtCompileTime, IsRowMajor> Eigen::DenseBase< Derived >::RowsBlockXpr

Definition at line 24 of file DenseBase.h.

template<typename Derived>

typedef VectorwiseOp<Derived, Horizontal> Eigen::DenseBase< Derived >::RowwiseReturnType

Definition at line 491 of file DenseBase.h.

template<typename Derived>

typedef Block<Derived, 1, internal::traits<Derived>::ColsAtCompileTime, IsRowMajor> Eigen::DenseBase< Derived >::RowXpr

Definition at line 18 of file DenseBase.h.

template<typename Derived>

typedef internal::traits<Derived>::Scalar Eigen::DenseBase< Derived >::Scalar

The numeric type of the expression' coefficients, e.g. float, double, int or std::complex<float>, etc.

Definition at line 66 of file DenseBase.h.

template<typename Derived>

typedef VectorBlock<Derived> Eigen::DenseBase< Derived >::SegmentReturnType

Definition at line 39 of file DenseBase.h.

template<typename Derived>

typedef CwiseNullaryOp<internal::linspaced_op<Scalar,PacketScalar>,PlainObject> Eigen::DenseBase< Derived >::SequentialLinSpacedReturnType

Definition at line 264 of file DenseBase.h.

template<typename Derived>

typedef internal::traits<Derived>::StorageIndex Eigen::DenseBase< Derived >::StorageIndex

The type used to store indices.

This typedef is relevant for types that store multiple indices such as PermutationMatrix or Transpositions, otherwise it defaults to Eigen::Index

See also: Preprocessor directives, Eigen::Index, SparseMatrixBase.

Definition at line 63 of file DenseBase.h.

template<typename Derived>

typedef internal::traits<Derived>::StorageKind Eigen::DenseBase< Derived >::StorageKind

Definition at line 55 of file DenseBase.h.

template<typename Derived>

typedef Transpose<Derived> Eigen::DenseBase< Derived >::TransposeReturnType

Definition at line 319 of file DenseBase.h.

template<typename Derived>

typedef Scalar Eigen::DenseBase< Derived >::value_type

The numeric type of the expression' coefficients, e.g. float, double, int or std::complex<float>, etc.

It is an alias for the Scalar type

Definition at line 71 of file DenseBase.h.

Member Enumeration Documentation

template<typename Derived>

anonymous enum

Enumerator
RowsAtCompileTime	The number of rows at compile-time. This is just a copy of the value provided by the Derived type. If a value is not known at compile-time, it is set to the Dynamic constant. See also MatrixBase::rows(), MatrixBase::cols(), ColsAtCompileTime, SizeAtCompileTime
ColsAtCompileTime	The number of columns at compile-time. This is just a copy of the value provided by the Derived type. If a value is not known at compile-time, it is set to the Dynamic constant. See also MatrixBase::rows(), MatrixBase::cols(), RowsAtCompileTime, SizeAtCompileTime
SizeAtCompileTime	This is equal to the number of coefficients, i.e. the number of rows times the number of columns, or to Dynamic if this is not known at compile-time. See also RowsAtCompileTime, ColsAtCompileTime
MaxRowsAtCompileTime	This value is equal to the maximum possible number of rows that this expression might have. If this expression might have an arbitrarily high number of rows, this value is set to Dynamic. This value is useful to know when evaluating an expression, in order to determine whether it is possible to avoid doing a dynamic memory allocation. See also RowsAtCompileTime, MaxColsAtCompileTime, MaxSizeAtCompileTime
MaxColsAtCompileTime	This value is equal to the maximum possible number of columns that this expression might have. If this expression might have an arbitrarily high number of columns, this value is set to Dynamic. This value is useful to know when evaluating an expression, in order to determine whether it is possible to avoid doing a dynamic memory allocation. See also ColsAtCompileTime, MaxRowsAtCompileTime, MaxSizeAtCompileTime
MaxSizeAtCompileTime	This value is equal to the maximum possible number of coefficients that this expression might have. If this expression might have an arbitrarily high number of coefficients, this value is set to Dynamic. This value is useful to know when evaluating an expression, in order to determine whether it is possible to avoid doing a dynamic memory allocation. See also SizeAtCompileTime, MaxRowsAtCompileTime, MaxColsAtCompileTime
IsVectorAtCompileTime	This is set to true if either the number of rows or the number of columns is known at compile-time to be equal to 1. Indeed, in that case, we are dealing with a column-vector (if there is only one column) or with a row-vector (if there is only one row).
Flags	This stores expression Flags flags which may or may not be inherited by new expressions constructed from this one. See the list of flags.
IsRowMajor	True if this expression has row-major storage order.
InnerSizeAtCompileTime
InnerStrideAtCompileTime
OuterStrideAtCompileTime

Definition at line 98 of file DenseBase.h.

template<typename Derived>

anonymous enum

Enumerator
IsPlainObjectBase

Definition at line 176 of file DenseBase.h.

Constructor & Destructor Documentation

template<typename Derived>

EIGEN_DEVICE_FUNC Eigen::DenseBase< Derived >::DenseBase ( )

inlineprotected

Default constructor. Do nothing.

Definition at line 591 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC Eigen::DenseBase< Derived >::DenseBase ( int )

explicitprivate

template<typename Derived>

EIGEN_DEVICE_FUNC Eigen::DenseBase< Derived >::DenseBase	(	int	,
		int
	)

private

template<typename Derived>

template<typename OtherDerived >

EIGEN_DEVICE_FUNC Eigen::DenseBase< Derived >::DenseBase ( const DenseBase< OtherDerived > & )

explicitprivate

Member Function Documentation

template<typename Derived >

bool Eigen::DenseBase< Derived >::all ( ) const

inline

Returns: true if all coefficients are true

Example:

Vector3f boxMin(Vector3f::Zero()), boxMax(Vector3f::Ones());
Vector3f p0 = Vector3f::Random(), p1 = Vector3f::Random().cwiseAbs();
// let's check if p0 and p1 are inside the axis aligned box defined by the corners boxMin,boxMax:
cout << "Is (" << p0.transpose() << ") inside the box: "
     << ((boxMin.array()<p0.array()).all() && (boxMax.array()>p0.array()).all()) << endl;
cout << "Is (" << p1.transpose() << ") inside the box: "
     << ((boxMin.array()<p1.array()).all() && (boxMax.array()>p1.array()).all()) << endl;

Output:

See also: any(), Cwise::operator<()

Definition at line 81 of file BooleanRedux.h.

template<typename Derived >

bool Eigen::DenseBase< Derived >::allFinite ( ) const

inline

Returns: true if *this contains only finite numbers, i.e., no NaN and no +/-INF values.

See also: hasNaN()

Definition at line 153 of file BooleanRedux.h.

template<typename Derived >

bool Eigen::DenseBase< Derived >::any ( ) const

inline

Returns: true if at least one coefficient is true

See also: all()

Definition at line 105 of file BooleanRedux.h.

template<typename Derived>

EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL EIGEN_DEVICE_FUNC BlockXpr Eigen::DenseBase< Derived >::block	(	Index	startRow,
		Index	startCol,
		Index	blockRows,
		Index	blockCols
	)

inline

Returns: a dynamic-size expression of a block in *this.

Parameters

startRow	the first row in the block
startCol	the first column in the block
blockRows	the number of rows in the block
blockCols	the number of columns in the block

Example:

Matrix4i m = Matrix4i::Random();
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is m.block(1, 1, 2, 2):" << endl << m.block(1, 1, 2, 2) << endl;
m.block(1, 1, 2, 2).setZero();
cout << "Now the matrix m is:" << endl << m << endl;

Output:

Note: Even though the returned expression has dynamic size, in the case when it is applied to a fixed-size matrix, it inherits a fixed maximal size, which means that evaluating it does not cause a dynamic memory allocation.

See also: class Block, block(Index,Index)

Definition at line 65 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC const ConstBlockXpr Eigen::DenseBase< Derived >::block	(	Index	startRow,
		Index	startCol,
		Index	blockRows,
		Index	blockCols
	)		const

inline

This is the const version of block(Index,Index,Index,Index). */.

Definition at line 72 of file DenseBase.h.

template<typename Derived>

template<int NRows, int NCols>

EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL EIGEN_DEVICE_FUNC FixedBlockXpr<NRows,NCols>::Type Eigen::DenseBase< Derived >::block	(	Index	startRow,
		Index	startCol
	)

inline

Returns: a fixed-size expression of a block in *this.

The template parameters NRows and NCols are the number of rows and columns in the block.

Parameters

startRow	the first row in the block
startCol	the first column in the block

Example:

Matrix4i m = Matrix4i::Random();
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is m.block<2,2>(1,1):" << endl << m.block<2,2>(1,1) << endl;
m.block<2,2>(1,1).setZero();
cout << "Now the matrix m is:" << endl << m << endl;

Output:

Note: since block is a templated member, the keyword template has to be used if the matrix type is also a template parameter:
m.template block<3,3>(1,1);

See also: class Block, block(Index,Index,Index,Index)

Definition at line 781 of file DenseBase.h.

template<typename Derived>

template<int NRows, int NCols>

EIGEN_DEVICE_FUNC const ConstFixedBlockXpr<NRows,NCols>::Type Eigen::DenseBase< Derived >::block	(	Index	startRow,
		Index	startCol
	)		const

inline

This is the const version of block<>(Index, Index). */.

Definition at line 789 of file DenseBase.h.

template<typename Derived>

template<int NRows, int NCols>

EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL FixedBlockXpr<NRows,NCols>::Type Eigen::DenseBase< Derived >::block	(	Index	startRow,
		Index	startCol,
		Index	blockRows,
		Index	blockCols
	)

inline

Returns: an expression of a block in *this.

Template Parameters

NRows	number of rows in block as specified at compile-time
NCols	number of columns in block as specified at compile-time

Parameters

startRow	the first row in the block
startCol	the first column in the block
blockRows	number of rows in block as specified at run-time
blockCols	number of columns in block as specified at run-time

This function is mainly useful for blocks where the number of rows is specified at compile-time and the number of columns is specified at run-time, or vice versa. The compile-time and run-time information should not contradict. In other words, blockRows should equal NRows unless NRows is Dynamic, and the same for the number of columns.

Example:

Matrix4i m = Matrix4i::Random();
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is the block:" << endl << m.block<2, Dynamic>(1, 1, 2, 3) << endl;
m.block<2, Dynamic>(1, 1, 2, 3).setZero();
cout << "Now the matrix m is:" << endl << m << endl;

Output:

Matrix4i m = Matrix4i::Random();
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is the block:" << endl << m.block<2, Dynamic>(1, 1, 2, 3) << endl;
m.block<2, Dynamic>(1, 1, 2, 3).setZero();
cout << "Now the matrix m is:" << endl << m << endl;

See also: class Block, block(Index,Index,Index,Index)

Definition at line 816 of file DenseBase.h.

template<typename Derived>

template<int NRows, int NCols>

const ConstFixedBlockXpr<NRows,NCols>::Type Eigen::DenseBase< Derived >::block	(	Index	startRow,
		Index	startCol,
		Index	blockRows,
		Index	blockCols
	)		const

inline

This is the const version of block<>(Index, Index, Index, Index).

Definition at line 824 of file DenseBase.h.

template<typename Derived>

EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL EIGEN_DEVICE_FUNC BlockXpr Eigen::DenseBase< Derived >::bottomLeftCorner	(	Index	cRows,
		Index	cCols
	)

inline

Returns: a dynamic-size expression of a bottom-left corner of *this.

Parameters

cRows	the number of rows in the corner
cCols	the number of columns in the corner

Example:

Matrix4i m = Matrix4i::Random();
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is m.bottomLeftCorner(2, 2):" << endl;
cout << m.bottomLeftCorner(2, 2) << endl;
m.bottomLeftCorner(2, 2).setZero();
cout << "Now the matrix m is:" << endl << m << endl;

Output:

See also: class Block, block(Index,Index,Index,Index)

Definition at line 349 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC const ConstBlockXpr Eigen::DenseBase< Derived >::bottomLeftCorner	(	Index	cRows,
		Index	cCols
	)		const

inline

This is the const version of bottomLeftCorner(Index, Index).

Definition at line 356 of file DenseBase.h.

template<typename Derived>

template<int CRows, int CCols>

EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL EIGEN_DEVICE_FUNC FixedBlockXpr<CRows,CCols>::Type Eigen::DenseBase< Derived >::bottomLeftCorner ( )

inline

Returns: an expression of a fixed-size bottom-left corner of *this.

The template parameters CRows and CCols are the number of rows and columns in the corner.

Example:

Matrix4i m = Matrix4i::Random();
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is m.bottomLeftCorner<2,2>():" << endl;
cout << m.bottomLeftCorner<2,2>() << endl;
m.bottomLeftCorner<2,2>().setZero();
cout << "Now the matrix m is:" << endl << m << endl;

Output:

See also: class Block, block(Index,Index,Index,Index)

Definition at line 374 of file DenseBase.h.

template<typename Derived>

template<int CRows, int CCols>

EIGEN_DEVICE_FUNC const ConstFixedBlockXpr<CRows,CCols>::Type Eigen::DenseBase< Derived >::bottomLeftCorner ( ) const

inline

This is the const version of bottomLeftCorner<int, int>().

Definition at line 382 of file DenseBase.h.

template<typename Derived>

template<int CRows, int CCols>

EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL FixedBlockXpr<CRows,CCols>::Type Eigen::DenseBase< Derived >::bottomLeftCorner	(	Index	cRows,
		Index	cCols
	)

inline

Returns: an expression of a bottom-left corner of *this.

Template Parameters

CRows	number of rows in corner as specified at compile-time
CCols	number of columns in corner as specified at compile-time

Parameters

cRows	number of rows in corner as specified at run-time
cCols	number of columns in corner as specified at run-time

This function is mainly useful for corners where the number of rows is specified at compile-time and the number of columns is specified at run-time, or vice versa. The compile-time and run-time information should not contradict. In other words, cRows should equal CRows unless CRows is Dynamic, and the same for the number of columns.

Example:

Matrix4i m = Matrix4i::Random();
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is m.bottomLeftCorner<2,Dynamic>(2,2):" << endl;
cout << m.bottomLeftCorner<2,Dynamic>(2,2) << endl;
m.bottomLeftCorner<2,Dynamic>(2,2).setZero();
cout << "Now the matrix m is:" << endl << m << endl;

Output:

See also: class Block

Definition at line 407 of file DenseBase.h.

template<typename Derived>

template<int CRows, int CCols>

const ConstFixedBlockXpr<CRows,CCols>::Type Eigen::DenseBase< Derived >::bottomLeftCorner	(	Index	cRows,
		Index	cCols
	)		const

inline

This is the const version of bottomLeftCorner<int, int>(Index, Index).

Definition at line 414 of file DenseBase.h.

template<typename Derived>

EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL EIGEN_DEVICE_FUNC BlockXpr Eigen::DenseBase< Derived >::bottomRightCorner	(	Index	cRows,
		Index	cCols
	)

inline

Returns: a dynamic-size expression of a bottom-right corner of *this.

Parameters

cRows	the number of rows in the corner
cCols	the number of columns in the corner

Example:

Matrix4i m = Matrix4i::Random();
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is m.bottomRightCorner(2, 2):" << endl;
cout << m.bottomRightCorner(2, 2) << endl;
m.bottomRightCorner(2, 2).setZero();
cout << "Now the matrix m is:" << endl << m << endl;

Output:

See also: class Block, block(Index,Index,Index,Index)

Definition at line 264 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC const ConstBlockXpr Eigen::DenseBase< Derived >::bottomRightCorner	(	Index	cRows,
		Index	cCols
	)		const

inline

This is the const version of bottomRightCorner(Index, Index).

Definition at line 271 of file DenseBase.h.

template<typename Derived>

template<int CRows, int CCols>

EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL EIGEN_DEVICE_FUNC FixedBlockXpr<CRows,CCols>::Type Eigen::DenseBase< Derived >::bottomRightCorner ( )

inline

Returns: an expression of a fixed-size bottom-right corner of *this.

The template parameters CRows and CCols are the number of rows and columns in the corner.

Example:

Matrix4i m = Matrix4i::Random();
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is m.bottomRightCorner<2,2>():" << endl;
cout << m.bottomRightCorner<2,2>() << endl;
m.bottomRightCorner<2,2>().setZero();
cout << "Now the matrix m is:" << endl << m << endl;

Output:

See also: class Block, block(Index,Index,Index,Index)

Definition at line 289 of file DenseBase.h.

template<typename Derived>

template<int CRows, int CCols>

EIGEN_DEVICE_FUNC const ConstFixedBlockXpr<CRows,CCols>::Type Eigen::DenseBase< Derived >::bottomRightCorner ( ) const

inline

This is the const version of bottomRightCorner<int, int>().

Definition at line 297 of file DenseBase.h.

template<typename Derived>

template<int CRows, int CCols>

EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL FixedBlockXpr<CRows,CCols>::Type Eigen::DenseBase< Derived >::bottomRightCorner	(	Index	cRows,
		Index	cCols
	)

inline

Returns: an expression of a bottom-right corner of *this.

Template Parameters

CRows	number of rows in corner as specified at compile-time
CCols	number of columns in corner as specified at compile-time

Parameters

cRows	number of rows in corner as specified at run-time
cCols	number of columns in corner as specified at run-time

This function is mainly useful for corners where the number of rows is specified at compile-time and the number of columns is specified at run-time, or vice versa. The compile-time and run-time information should not contradict. In other words, cRows should equal CRows unless CRows is Dynamic, and the same for the number of columns.

Example:

Matrix4i m = Matrix4i::Random();
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is m.bottomRightCorner<2,Dynamic>(2,2):" << endl;
cout << m.bottomRightCorner<2,Dynamic>(2,2) << endl;
m.bottomRightCorner<2,Dynamic>(2,2).setZero();
cout << "Now the matrix m is:" << endl << m << endl;

Output:

See also: class Block

Definition at line 322 of file DenseBase.h.

template<typename Derived>

template<int CRows, int CCols>

const ConstFixedBlockXpr<CRows,CCols>::Type Eigen::DenseBase< Derived >::bottomRightCorner	(	Index	cRows,
		Index	cCols
	)		const

inline

This is the const version of bottomRightCorner<int, int>(Index, Index).

Definition at line 329 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC RowsBlockXpr Eigen::DenseBase< Derived >::bottomRows ( Index n )

inline

Returns: a block consisting of the bottom rows of *this.

Parameters

n	the number of rows in the block

Example:

Array44i a = Array44i::Random();
cout << "Here is the array a:" << endl << a << endl;
cout << "Here is a.bottomRows(2):" << endl;
cout << a.bottomRows(2) << endl;
a.bottomRows(2).setZero();
cout << "Now the array a is:" << endl << a << endl;

Output:

See also: class Block, block(Index,Index,Index,Index)

Definition at line 489 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC ConstRowsBlockXpr Eigen::DenseBase< Derived >::bottomRows ( Index n ) const

inline

This is the const version of bottomRows(Index).

Definition at line 496 of file DenseBase.h.

template<typename Derived>

template<int N>

EIGEN_DEVICE_FUNC NRowsBlockXpr<N>::Type Eigen::DenseBase< Derived >::bottomRows ( Index n = N )

inline

Returns: a block consisting of the bottom rows of *this.

Template Parameters

N	the number of rows in the block as specified at compile-time

Parameters

n	the number of rows in the block as specified at run-time

The compile-time and run-time information should not contradict. In other words, n should equal N unless N is Dynamic.

Example:

Array44i a = Array44i::Random();
cout << "Here is the array a:" << endl << a << endl;
cout << "Here is a.bottomRows<2>():" << endl;
cout << a.bottomRows<2>() << endl;
a.bottomRows<2>().setZero();
cout << "Now the array a is:" << endl << a << endl;

Output:

See also: class Block, block(Index,Index,Index,Index)

Definition at line 518 of file DenseBase.h.

template<typename Derived>

template<int N>

EIGEN_DEVICE_FUNC ConstNRowsBlockXpr<N>::Type Eigen::DenseBase< Derived >::bottomRows ( Index n = N ) const

inline

This is the const version of bottomRows<int>().

Definition at line 526 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC ColXpr Eigen::DenseBase< Derived >::col ( Index i )

inline

Returns: an expression of the i-th column of *this. Note that the numbering starts at 0.

Example:

Matrix3d m = Matrix3d::Identity();
m.col(1) = Vector3d(4,5,6);
cout << m << endl;

Output:

See also: row(), class Block

Definition at line 839 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC ConstColXpr Eigen::DenseBase< Derived >::col ( Index i ) const

inline

This is the const version of col().

Definition at line 846 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC ConstColwiseReturnType Eigen::DenseBase< Derived >::colwise ( ) const

inline

Returns: a VectorwiseOp wrapper of *this providing additional partial reduction operations

Example:

Matrix3d m = Matrix3d::Random();
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is the sum of each column:" << endl << m.colwise().sum() << endl;
cout << "Here is the maximum absolute value of each column:"
     << endl << m.cwiseAbs().colwise().maxCoeff() << endl;

Output:

See also: rowwise(), class VectorwiseOp, TutorialReductionsVisitorsBroadcasting

Definition at line 516 of file DenseBase.h.

template<typename Derived >

DenseBase< Derived >::ColwiseReturnType Eigen::DenseBase< Derived >::colwise ( )

inline

Returns: a writable VectorwiseOp wrapper of *this providing additional partial reduction operations

See also: rowwise(), class VectorwiseOp, TutorialReductionsVisitorsBroadcasting

Definition at line 674 of file VectorwiseOp.h.

template<typename Derived >

EIGEN_STRONG_INLINE const DenseBase< Derived >::ConstantReturnType Eigen::DenseBase< Derived >::Constant	(	Index	rows,
		Index	cols,
		const Scalar &	value
	)

static

Returns: an expression of a constant matrix of value value

The parameters rows and cols are the number of rows and of columns of the returned matrix. Must be compatible with this DenseBase type.

This variant is meant to be used for dynamic-size matrix types. For fixed-size types, it is redundant to pass rows and cols as arguments, so Zero() should be used instead.

The template parameter CustomNullaryOp is the type of the functor.

See also: class CwiseNullaryOp

Definition at line 174 of file CwiseNullaryOp.h.

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const DenseBase< Derived >::ConstantReturnType Eigen::DenseBase< Derived >::Constant	(	Index	size,
		const Scalar &	value
	)

static

Returns: an expression of a constant matrix of value value

The parameter size is the size of the returned vector. Must be compatible with this DenseBase type.

This variant is meant to be used for dynamic-size vector types. For fixed-size types, it is redundant to pass size as argument, so Zero() should be used instead.

The template parameter CustomNullaryOp is the type of the functor.

See also: class CwiseNullaryOp

Definition at line 196 of file CwiseNullaryOp.h.

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const DenseBase< Derived >::ConstantReturnType Eigen::DenseBase< Derived >::Constant ( const Scalar & value )

static

Returns: an expression of a constant matrix of value value

This variant is only for fixed-size DenseBase types. For dynamic-size types, you need to use the variants taking size arguments.

The template parameter CustomNullaryOp is the type of the functor.

See also: class CwiseNullaryOp

Definition at line 212 of file CwiseNullaryOp.h.

template<typename Derived >

Eigen::Index Eigen::DenseBase< Derived >::count ( ) const

inline

Returns: the number of coefficients which evaluate to true

See also: all(), any()

Definition at line 129 of file BooleanRedux.h.

template<typename Derived>

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EvalReturnType Eigen::DenseBase< Derived >::eval ( ) const

inline

Returns: the matrix or vector obtained by evaluating this expression.

Notice that in the case of a plain matrix or vector (not an expression) this function just returns a const reference, in order to avoid a useless copy.

Warning: Be carefull with eval() and the auto C++ keyword, as detailed in this page .

Definition at line 401 of file DenseBase.h.

template<typename Derived>

template<typename Dest >

EIGEN_DEVICE_FUNC void Eigen::DenseBase< Derived >::evalTo ( Dest & ) const

inline

Definition at line 584 of file DenseBase.h.

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void Eigen::DenseBase< Derived >::fill ( const Scalar & val )

Alias for setConstant(): sets all coefficients in this expression to val.

See also: setConstant(), Constant(), class CwiseNullaryOp

Definition at line 315 of file CwiseNullaryOp.h.

template<typename Derived>

template<unsigned int Added, unsigned int Removed>

EIGEN_DEPRECATED const Derived& Eigen::DenseBase< Derived >::flagged ( ) const

inline

Deprecated:: it now returns *this

Definition at line 312 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC const ForceAlignedAccess<Derived> Eigen::DenseBase< Derived >::forceAlignedAccess ( ) const

inline

template<typename Derived>

EIGEN_DEVICE_FUNC ForceAlignedAccess<Derived> Eigen::DenseBase< Derived >::forceAlignedAccess ( )

inline

template<typename Derived>

template<bool Enable>

EIGEN_DEVICE_FUNC const internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type Eigen::DenseBase< Derived >::forceAlignedAccessIf ( ) const

inline

template<typename Derived>

template<bool Enable>

EIGEN_DEVICE_FUNC internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type Eigen::DenseBase< Derived >::forceAlignedAccessIf ( )

inline

template<typename Derived>

const WithFormat<Derived> Eigen::DenseBase< Derived >::format ( const IOFormat & fmt ) const

inline

Returns: a WithFormat proxy object allowing to print a matrix the with given format fmt.

See class IOFormat for some examples.

See also: class IOFormat, class WithFormat

Definition at line 473 of file DenseBase.h.

template<typename Derived >

bool Eigen::DenseBase< Derived >::hasNaN ( ) const

inline

Returns: true is *this contains at least one Not A Number (NaN).

See also: allFinite()

Definition at line 139 of file BooleanRedux.h.

template<typename Derived>

EIGEN_DEVICE_FUNC SegmentReturnType Eigen::DenseBase< Derived >::head ( Index n )

inline

Returns: a dynamic-size expression of the first coefficients of *this.

Parameters

n	the number of coefficients in the segment

Example:

RowVector4i v = RowVector4i::Random();
cout << "Here is the vector v:" << endl << v << endl;
cout << "Here is v.head(2):" << endl << v.head(2) << endl;
v.head(2).setZero();
cout << "Now the vector v is:" << endl << v << endl;

Output:

Note: Even though the returned expression has dynamic size, in the case when it is applied to a fixed-size vector, it inherits a fixed maximal size, which means that evaluating it does not cause a dynamic memory allocation.

See also: class Block, block(Index,Index)

Definition at line 920 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC ConstSegmentReturnType Eigen::DenseBase< Derived >::head ( Index n ) const

inline

This is the const version of head(Index).

Definition at line 928 of file DenseBase.h.

template<typename Derived>

template<int N>

EIGEN_DEVICE_FUNC FixedSegmentReturnType<N>::Type Eigen::DenseBase< Derived >::head ( Index n = N )

inline

Returns: a fixed-size expression of the first coefficients of *this.

Template Parameters

N	the number of coefficients in the segment as specified at compile-time

Parameters

n	the number of coefficients in the segment as specified at run-time

The compile-time and run-time information should not contradict. In other words, n should equal N unless N is Dynamic.

Example:

RowVector4i v = RowVector4i::Random();
cout << "Here is the vector v:" << endl << v << endl;
cout << "Here is v.head(2):" << endl << v.head<2>() << endl;
v.head<2>().setZero();
cout << "Now the vector v is:" << endl << v << endl;

Output:

See also: class Block

Definition at line 1014 of file DenseBase.h.

template<typename Derived>

template<int N>

EIGEN_DEVICE_FUNC ConstFixedSegmentReturnType<N>::Type Eigen::DenseBase< Derived >::head ( Index n = N ) const

inline

This is the const version of head<int>().

Definition at line 1023 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC Index Eigen::DenseBase< Derived >::innerSize ( ) const

inline

Returns: the inner size.

Note: For a vector, this is just the size. For a matrix (non-vector), this is the minor dimension with respect to the storage order, i.e., the number of rows for a column-major matrix, and the number of columns for a row-major matrix.

Definition at line 230 of file DenseBase.h.

template<typename Derived>

template<typename OtherDerived >

bool Eigen::DenseBase< Derived >::isApprox	(	const DenseBase< OtherDerived > &	other,
		const RealScalar &	prec
	)		const

Returns: true if *this is approximately equal to other, within the precision determined by prec.

Note: The fuzzy compares are done multiplicatively. Two vectors and are considered to be approximately equal within precision if
$\Vert v - w \Vert \leqslant p\,\min(\Vert v\Vert, \Vert w\Vert).$
For matrices, the comparison is done using the Hilbert-Schmidt norm (aka Frobenius norm L2 norm).; Because of the multiplicativeness of this comparison, one can't use this function to check whether *this is approximately equal to the zero matrix or vector. Indeed, isApprox(zero) returns false unless *this itself is exactly the zero matrix or vector. If you want to test whether *this is zero, use internal::isMuchSmallerThan(const RealScalar&, RealScalar) instead.

See also: internal::isMuchSmallerThan(const RealScalar&, RealScalar) const

Definition at line 103 of file Fuzzy.h.

template<typename Derived>

template<typename OtherDerived >

EIGEN_DEVICE_FUNC bool Eigen::DenseBase< Derived >::isApprox	(	const DenseBase< OtherDerived > &	other,
		const RealScalar &	prec = `NumTraits< Scalar >::dummy_precision()`
	)		const

template<typename Derived >

EIGEN_DEVICE_FUNC bool Eigen::DenseBase< Derived >::isApproxToConstant	(	const Scalar &	val,
		const RealScalar &	prec = `NumTraits<Scalar>::dummy_precision()`
	)		const

Returns: true if all coefficients in this matrix are approximately equal to val, to within precision prec

Definition at line 290 of file CwiseNullaryOp.h.

template<typename Derived >

EIGEN_DEVICE_FUNC bool Eigen::DenseBase< Derived >::isConstant	(	const Scalar &	val,
		const RealScalar &	prec = `NumTraits<Scalar>::dummy_precision()`
	)		const

This is just an alias for isApproxToConstant().

Returns: true if all coefficients in this matrix are approximately equal to value, to within precision prec

Definition at line 305 of file CwiseNullaryOp.h.

template<typename Derived>

template<typename Derived >

bool Eigen::DenseBase< Derived >::isMuchSmallerThan	(	const typename NumTraits< Scalar >::Real &	other,
		const RealScalar &	prec
	)		const

Returns: true if the norm of *this is much smaller than other, within the precision determined by prec.

Note: The fuzzy compares are done multiplicatively. A vector is considered to be much smaller than within precision if
$\Vert v \Vert \leqslant p\,\vert x\vert.$

For matrices, the comparison is done using the Hilbert-Schmidt norm. For this reason, the value of the reference scalar other should come from the Hilbert-Schmidt norm of a reference matrix of same dimensions.

See also: isApprox(), isMuchSmallerThan(const DenseBase<OtherDerived>&, RealScalar) const

Definition at line 125 of file Fuzzy.h.

template<typename Derived>

template<typename OtherDerived >

bool Eigen::DenseBase< Derived >::isMuchSmallerThan	(	const DenseBase< OtherDerived > &	other,
		const RealScalar &	prec
	)		const

Returns: true if the norm of *this is much smaller than the norm of other, within the precision determined by prec.

Note: The fuzzy compares are done multiplicatively. A vector is considered to be much smaller than a vector within precision if
$\Vert v \Vert \leqslant p\,\Vert w\Vert.$
For matrices, the comparison is done using the Hilbert-Schmidt norm.

See also: isApprox(), isMuchSmallerThan(const RealScalar&, RealScalar) const

Definition at line 145 of file Fuzzy.h.

template<typename Derived>

EIGEN_DEVICE_FUNC bool Eigen::DenseBase< Derived >::isMuchSmallerThan	(	const RealScalar &	other,
		const RealScalar &	prec = `NumTraits< Scalar >::dummy_precision()`
	)		const

template<typename Derived>

template<typename OtherDerived >

EIGEN_DEVICE_FUNC bool Eigen::DenseBase< Derived >::isMuchSmallerThan	(	const DenseBase< OtherDerived > &	other,
		const RealScalar &	prec = `NumTraits< Scalar >::dummy_precision()`
	)		const

template<typename Derived >

EIGEN_DEVICE_FUNC bool Eigen::DenseBase< Derived >::isOnes ( const RealScalar & prec = NumTraits<Scalar>::dummy_precision() ) const

Returns: true if *this is approximately equal to the matrix where all coefficients are equal to 1, within the precision given by prec.

Example:

Matrix3d m = Matrix3d::Ones();
m(0,2) += 1e-4;
cout << "Here's the matrix m:" << endl << m << endl;
cout << "m.isOnes() returns: " << m.isOnes() << endl;
cout << "m.isOnes(1e-3) returns: " << m.isOnes(1e-3) << endl;

Output:

See also: class CwiseNullaryOp, Ones()

Definition at line 612 of file CwiseNullaryOp.h.

template<typename Derived >

EIGEN_DEVICE_FUNC bool Eigen::DenseBase< Derived >::isZero ( const RealScalar & prec = NumTraits<Scalar>::dummy_precision() ) const

Returns: true if *this is approximately equal to the zero matrix, within the precision given by prec.

Example:

Matrix3d m = Matrix3d::Zero();
m(0,2) = 1e-4;
cout << "Here's the matrix m:" << endl << m << endl;
cout << "m.isZero() returns: " << m.isZero() << endl;
cout << "m.isZero(1e-3) returns: " << m.isZero(1e-3) << endl;

Output:

See also: class CwiseNullaryOp, Zero()

Definition at line 481 of file CwiseNullaryOp.h.

template<typename Derived>

template<typename OtherDerived >

EIGEN_STRONG_INLINE Derived& Eigen::DenseBase< Derived >::lazyAssign ( const DenseBase< OtherDerived > & other )

Definition at line 20 of file Assign.h.

template<typename Derived>

template<typename OtherDerived >

EIGEN_DEVICE_FUNC Derived& Eigen::DenseBase< Derived >::lazyAssign ( const DenseBase< OtherDerived > & other )

template<typename Derived>

EIGEN_DEVICE_FUNC ColsBlockXpr Eigen::DenseBase< Derived >::leftCols ( Index n )

inline

Returns: a block consisting of the left columns of *this.

Parameters

n	the number of columns in the block

Example:

Array44i a = Array44i::Random();
cout << "Here is the array a:" << endl << a << endl;
cout << "Here is a.leftCols(2):" << endl;
cout << a.leftCols(2) << endl;
a.leftCols(2).setZero();
cout << "Now the array a is:" << endl << a << endl;

Output:

See also: class Block, block(Index,Index,Index,Index)

Definition at line 603 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC ConstColsBlockXpr Eigen::DenseBase< Derived >::leftCols ( Index n ) const

inline

This is the const version of leftCols(Index).

Definition at line 610 of file DenseBase.h.

template<typename Derived>

template<int N>

EIGEN_DEVICE_FUNC NColsBlockXpr<N>::Type Eigen::DenseBase< Derived >::leftCols ( Index n = N )

inline

Returns: a block consisting of the left columns of *this.

Template Parameters

N	the number of columns in the block as specified at compile-time

Parameters

n	the number of columns in the block as specified at run-time

The compile-time and run-time information should not contradict. In other words, n should equal N unless N is Dynamic.

Example:

Array44i a = Array44i::Random();
cout << "Here is the array a:" << endl << a << endl;
cout << "Here is a.leftCols<2>():" << endl;
cout << a.leftCols<2>() << endl;
a.leftCols<2>().setZero();
cout << "Now the array a is:" << endl << a << endl;

Output:

See also: class Block, block(Index,Index,Index,Index)

Definition at line 632 of file DenseBase.h.

template<typename Derived>

template<int N>

EIGEN_DEVICE_FUNC ConstNColsBlockXpr<N>::Type Eigen::DenseBase< Derived >::leftCols ( Index n = N ) const

inline

This is the const version of leftCols<int>().

Definition at line 640 of file DenseBase.h.

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const DenseBase< Derived >::RandomAccessLinSpacedReturnType Eigen::DenseBase< Derived >::LinSpaced	(	Sequential_t	,
		Index	size,
		const Scalar &	low,
		const Scalar &	high
	)

static

Deprecated:: because of accuracy loss. In Eigen 3.3, it is an alias for LinSpaced(Index,const Scalar&,const Scalar&)

See also: LinSpaced(Index,Scalar,Scalar), setLinSpaced(Index,const Scalar&,const Scalar&)

Definition at line 224 of file CwiseNullaryOp.h.

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const DenseBase< Derived >::RandomAccessLinSpacedReturnType Eigen::DenseBase< Derived >::LinSpaced	(	Index	size,
		const Scalar &	low,
		const Scalar &	high
	)

static

Sets a linearly spaced vector.

The function generates 'size' equally spaced values in the closed interval [low,high]. When size is set to 1, a vector of length 1 containing 'high' is returned.

Example:

cout << VectorXi::LinSpaced(4,7,10).transpose() << endl;

cout << VectorXd::LinSpaced(5,0.0,1.0).transpose() << endl;

Output:

For integer scalar types, an even spacing is possible if and only if the length of the range, i.e., high-low is a scalar multiple of size-1, or if size is a scalar multiple of the number of values high-low+1 (meaning each value can be repeated the same number of time). If one of these two considions is not satisfied, then high is lowered to the largest value satisfying one of this constraint. Here are some examples:

Example:

cout << "Even spacing inputs:" << endl;
cout << VectorXi::LinSpaced(8,1,4).transpose() << endl;
cout << VectorXi::LinSpaced(8,1,8).transpose() << endl;
cout << VectorXi::LinSpaced(8,1,15).transpose() << endl;
cout << "Uneven spacing inputs:" << endl;
cout << VectorXi::LinSpaced(8,1,7).transpose() << endl;
cout << VectorXi::LinSpaced(8,1,9).transpose() << endl;
cout << VectorXi::LinSpaced(8,1,16).transpose() << endl;

Output:

See also: setLinSpaced(Index,const Scalar&,const Scalar&), CwiseNullaryOp

Definition at line 268 of file CwiseNullaryOp.h.

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const DenseBase< Derived >::RandomAccessLinSpacedReturnType Eigen::DenseBase< Derived >::LinSpaced	(	Sequential_t	,
		const Scalar &	low,
		const Scalar &	high
	)

static

Deprecated:: because of accuracy loss. In Eigen 3.3, it is an alias for LinSpaced(const Scalar&,const Scalar&)

See also: LinSpaced(Scalar,Scalar)

Definition at line 236 of file CwiseNullaryOp.h.

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const DenseBase< Derived >::RandomAccessLinSpacedReturnType Eigen::DenseBase< Derived >::LinSpaced	(	const Scalar &	low,
		const Scalar &	high
	)

static

Sets a linearly spaced vector.

The function generates 'size' equally spaced values in the closed interval [low,high]. When size is set to 1, a vector of length 1 containing 'high' is returned.

Example:

cout << VectorXi::LinSpaced(4,7,10).transpose() << endl;

cout << VectorXd::LinSpaced(5,0.0,1.0).transpose() << endl;

Output:

For integer scalar types, an even spacing is possible if and only if the length of the range, i.e., high-low is a scalar multiple of size-1, or if size is a scalar multiple of the number of values high-low+1 (meaning each value can be repeated the same number of time). If one of these two considions is not satisfied, then high is lowered to the largest value satisfying one of this constraint. Here are some examples:

Example:

cout << "Even spacing inputs:" << endl;
cout << VectorXi::LinSpaced(8,1,4).transpose() << endl;
cout << VectorXi::LinSpaced(8,1,8).transpose() << endl;
cout << VectorXi::LinSpaced(8,1,15).transpose() << endl;
cout << "Uneven spacing inputs:" << endl;
cout << VectorXi::LinSpaced(8,1,7).transpose() << endl;
cout << VectorXi::LinSpaced(8,1,9).transpose() << endl;
cout << VectorXi::LinSpaced(8,1,16).transpose() << endl;

Output:

See also: setLinSpaced(Index,const Scalar&,const Scalar&), CwiseNullaryOp Special version for fixed size types which does not require the size parameter.

Definition at line 280 of file CwiseNullaryOp.h.

template<typename Derived>

template<int p>

RealScalar Eigen::DenseBase< Derived >::lpNorm ( ) const

template<typename Derived >

EIGEN_STRONG_INLINE internal::traits< Derived >::Scalar Eigen::DenseBase< Derived >::maxCoeff ( ) const

Returns: the maximum of all coefficients of *this.

Warning: the result is undefined if *this contains NaN.

Definition at line 436 of file Redux.h.

template<typename Derived >

template<typename IndexType >

EIGEN_DEVICE_FUNC internal::traits< Derived >::Scalar Eigen::DenseBase< Derived >::maxCoeff	(	IndexType *	rowId,
		IndexType *	colId
	)		const

Returns: the maximum of all coefficients of *this and puts in *row and *col its location.

Warning: the result is undefined if *this contains NaN.

See also: DenseBase::minCoeff(IndexType*,IndexType*), DenseBase::visit(), DenseBase::maxCoeff()

Definition at line 244 of file Visitor.h.

template<typename Derived >

template<typename IndexType >

EIGEN_DEVICE_FUNC internal::traits< Derived >::Scalar Eigen::DenseBase< Derived >::maxCoeff ( IndexType * index ) const

Returns: the maximum of all coefficients of *this and puts in *index its location.

Warning: the result is undefined if *this contains NaN.

See also: DenseBase::maxCoeff(IndexType*,IndexType*), DenseBase::minCoeff(IndexType*,IndexType*), DenseBase::visitor(), DenseBase::maxCoeff()

Definition at line 262 of file Visitor.h.

template<typename Derived >

EIGEN_STRONG_INLINE internal::traits< Derived >::Scalar Eigen::DenseBase< Derived >::mean ( ) const

Returns: the mean of all coefficients of *this

See also: trace(), prod(), sum()

Definition at line 462 of file Redux.h.

template<typename Derived>

EIGEN_DEVICE_FUNC ColsBlockXpr Eigen::DenseBase< Derived >::middleCols	(	Index	startCol,
		Index	numCols
	)

inline

Returns: a block consisting of a range of columns of *this.

Parameters

startCol	the index of the first column in the block
numCols	the number of columns in the block

Example:

#include <Eigen/Core>
#include <iostream>
using namespace Eigen;
using namespace std;
int main(void)
{
    int const N = 5;
    MatrixXi A(N,N);
    A.setRandom();
    cout << "A =\n" << A << '\n' << endl;
    cout << "A(1..3,:) =\n" << A.middleCols(1,3) << endl;
    return 0;
}

Output:

See also: class Block, block(Index,Index,Index,Index)

Definition at line 716 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC ConstColsBlockXpr Eigen::DenseBase< Derived >::middleCols	(	Index	startCol,
		Index	numCols
	)		const

inline

This is the const version of middleCols(Index,Index).

Definition at line 723 of file DenseBase.h.

template<typename Derived>

template<int N>

EIGEN_DEVICE_FUNC NColsBlockXpr<N>::Type Eigen::DenseBase< Derived >::middleCols	(	Index	startCol,
		Index	n = `N`
	)

inline

Returns: a block consisting of a range of columns of *this.

Template Parameters

N	the number of columns in the block as specified at compile-time

Parameters

startCol	the index of the first column in the block
n	the number of columns in the block as specified at run-time

The compile-time and run-time information should not contradict. In other words, n should equal N unless N is Dynamic.

Example:

#include <Eigen/Core>
#include <iostream>
using namespace Eigen;
using namespace std;
int main(void)
{
    int const N = 5;
    MatrixXi A(N,N);
    A.setRandom();
    cout << "A =\n" << A << '\n' << endl;
    cout << "A(:,1..3) =\n" << A.middleCols<3>(1) << endl;
    return 0;
}

Output:

See also: class Block, block(Index,Index,Index,Index)

Definition at line 746 of file DenseBase.h.

template<typename Derived>

template<int N>

EIGEN_DEVICE_FUNC ConstNColsBlockXpr<N>::Type Eigen::DenseBase< Derived >::middleCols	(	Index	startCol,
		Index	n = `N`
	)		const

inline

This is the const version of middleCols<int>().

Definition at line 754 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC RowsBlockXpr Eigen::DenseBase< Derived >::middleRows	(	Index	startRow,
		Index	n
	)

inline

Returns: a block consisting of a range of rows of *this.

Parameters

startRow	the index of the first row in the block
n	the number of rows in the block

Example:

#include <Eigen/Core>
#include <iostream>
using namespace Eigen;
using namespace std;
int main(void)
{
    int const N = 5;
    MatrixXi A(N,N);
    A.setRandom();
    cout << "A =\n" << A << '\n' << endl;
    cout << "A(2..3,:) =\n" << A.middleRows(2,2) << endl;
    return 0;
}

Output:

See also: class Block, block(Index,Index,Index,Index)

Definition at line 546 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC ConstRowsBlockXpr Eigen::DenseBase< Derived >::middleRows	(	Index	startRow,
		Index	n
	)		const

inline

This is the const version of middleRows(Index,Index).

Definition at line 553 of file DenseBase.h.

template<typename Derived>

template<int N>

EIGEN_DEVICE_FUNC NRowsBlockXpr<N>::Type Eigen::DenseBase< Derived >::middleRows	(	Index	startRow,
		Index	n = `N`
	)

inline

Returns: a block consisting of a range of rows of *this.

Template Parameters

N	the number of rows in the block as specified at compile-time

Parameters

startRow	the index of the first row in the block
n	the number of rows in the block as specified at run-time

The compile-time and run-time information should not contradict. In other words, n should equal N unless N is Dynamic.

Example:

#include <Eigen/Core>
#include <iostream>
using namespace Eigen;
using namespace std;
int main(void)
{
    int const N = 5;
    MatrixXi A(N,N);
    A.setRandom();
    cout << "A =\n" << A << '\n' << endl;
    cout << "A(1..3,:) =\n" << A.middleRows<3>(1) << endl;
    return 0;
}

Output:

See also: class Block, block(Index,Index,Index,Index)

Definition at line 576 of file DenseBase.h.

template<typename Derived>

template<int N>

EIGEN_DEVICE_FUNC ConstNRowsBlockXpr<N>::Type Eigen::DenseBase< Derived >::middleRows	(	Index	startRow,
		Index	n = `N`
	)		const

inline

This is the const version of middleRows<int>().

Definition at line 584 of file DenseBase.h.

template<typename Derived >

EIGEN_STRONG_INLINE internal::traits< Derived >::Scalar Eigen::DenseBase< Derived >::minCoeff ( ) const

Returns: the minimum of all coefficients of *this.

Warning: the result is undefined if *this contains NaN.

Definition at line 426 of file Redux.h.

template<typename Derived >

template<typename IndexType >

EIGEN_DEVICE_FUNC internal::traits< Derived >::Scalar Eigen::DenseBase< Derived >::minCoeff	(	IndexType *	rowId,
		IndexType *	colId
	)		const

Returns: the minimum of all coefficients of *this and puts in *row and *col its location.

Warning: the result is undefined if *this contains NaN.

See also: DenseBase::minCoeff(Index*), DenseBase::maxCoeff(Index*,Index*), DenseBase::visit(), DenseBase::minCoeff()

Definition at line 207 of file Visitor.h.

template<typename Derived >

template<typename IndexType >

EIGEN_DEVICE_FUNC internal::traits< Derived >::Scalar Eigen::DenseBase< Derived >::minCoeff ( IndexType * index ) const

Returns: the minimum of all coefficients of *this and puts in *index its location.

Warning: the result is undefined if *this contains NaN.

See also: DenseBase::minCoeff(IndexType*,IndexType*), DenseBase::maxCoeff(IndexType*,IndexType*), DenseBase::visit(), DenseBase::minCoeff()

Definition at line 225 of file Visitor.h.

template<typename Derived >

const NestByValue< Derived > Eigen::DenseBase< Derived >::nestByValue ( ) const

inline

Returns: an expression of the temporary version of *this.

Definition at line 103 of file NestByValue.h.

template<typename Derived>

EIGEN_DEVICE_FUNC Index Eigen::DenseBase< Derived >::nonZeros ( ) const

inline

Returns: the number of nonzero coefficients which is in practice the number of stored coefficients.

Definition at line 210 of file DenseBase.h.

template<typename Derived>

template<typename CustomNullaryOp >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const CwiseNullaryOp<CustomNullaryOp, typename DenseBase<Derived>::PlainObject> Eigen::DenseBase< Derived >::NullaryExpr	(	Index	rows,
		Index	cols,
		const CustomNullaryOp &	func
	)

Returns: an expression of a matrix defined by a custom functor func

The parameters rows and cols are the number of rows and of columns of the returned matrix. Must be compatible with this MatrixBase type.

This variant is meant to be used for dynamic-size matrix types. For fixed-size types, it is redundant to pass rows and cols as arguments, so Zero() should be used instead.

The template parameter CustomNullaryOp is the type of the functor.

See also: class CwiseNullaryOp

Definition at line 109 of file CwiseNullaryOp.h.

template<typename Derived>

template<typename CustomNullaryOp >

EIGEN_STRONG_INLINE const CwiseNullaryOp<CustomNullaryOp, typename DenseBase<Derived>::PlainObject> Eigen::DenseBase< Derived >::NullaryExpr	(	Index	size,
		const CustomNullaryOp &	func
	)

Returns: an expression of a matrix defined by a custom functor func

The parameter size is the size of the returned vector. Must be compatible with this MatrixBase type.

This variant is meant to be used for dynamic-size vector types. For fixed-size types, it is redundant to pass size as argument, so Zero() should be used instead.

The template parameter CustomNullaryOp is the type of the functor.

Here is an example with C++11 random generators:

#include <Eigen/Core>
#include <iostream>
#include <random>
using namespace Eigen;
int main() {
  std::default_random_engine generator;
  std::poisson_distribution<int> distribution(4.1);
  auto poisson = [&] () {return distribution(generator);};
  RowVectorXi v = RowVectorXi::NullaryExpr(10, poisson );
  std::cout << v << "\n";
}

Output:

See also: class CwiseNullaryOp

Definition at line 135 of file CwiseNullaryOp.h.

template<typename Derived>

template<typename CustomNullaryOp >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const CwiseNullaryOp<CustomNullaryOp, typename DenseBase<Derived>::PlainObject> Eigen::DenseBase< Derived >::NullaryExpr ( const CustomNullaryOp & func )

Returns: an expression of a matrix defined by a custom functor func

This variant is only for fixed-size DenseBase types. For dynamic-size types, you need to use the variants taking size arguments.

The template parameter CustomNullaryOp is the type of the functor.

See also: class CwiseNullaryOp

Definition at line 154 of file CwiseNullaryOp.h.

template<typename Derived>

template<typename CustomNullaryOp >

static EIGEN_DEVICE_FUNC const CwiseNullaryOp<CustomNullaryOp, PlainObject> Eigen::DenseBase< Derived >::NullaryExpr	(	Index	rows,
		Index	cols,
		const CustomNullaryOp &	func
	)

static

template<typename Derived>

template<typename CustomNullaryOp >

static EIGEN_DEVICE_FUNC const CwiseNullaryOp<CustomNullaryOp, PlainObject> Eigen::DenseBase< Derived >::NullaryExpr	(	Index	size,
		const CustomNullaryOp &	func
	)

static

template<typename Derived>

template<typename CustomNullaryOp >

static EIGEN_DEVICE_FUNC const CwiseNullaryOp<CustomNullaryOp, PlainObject> Eigen::DenseBase< Derived >::NullaryExpr ( const CustomNullaryOp & func )

static

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const DenseBase< Derived >::ConstantReturnType Eigen::DenseBase< Derived >::Ones	(	Index	rows,
		Index	cols
	)

static

Returns: an expression of a matrix where all coefficients equal one.

The parameters rows and cols are the number of rows and of columns of the returned matrix. Must be compatible with this MatrixBase type.

This variant is meant to be used for dynamic-size matrix types. For fixed-size types, it is redundant to pass rows and cols as arguments, so Ones() should be used instead.

Example:

cout << MatrixXi::Ones(2,3) << endl;

Output:

See also: Ones(), Ones(Index), isOnes(), class Ones

Definition at line 557 of file CwiseNullaryOp.h.

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const DenseBase< Derived >::ConstantReturnType Eigen::DenseBase< Derived >::Ones ( Index newSize )

static

Returns: an expression of a vector where all coefficients equal one.

The parameter newSize is the size of the returned vector. Must be compatible with this MatrixBase type.

This variant is meant to be used for dynamic-size vector types. For fixed-size types, it is redundant to pass size as argument, so Ones() should be used instead.

Example:

cout << 6 * RowVectorXi::Ones(4) << endl;

cout << VectorXf::Ones(2) << endl;

Output:

See also: Ones(), Ones(Index,Index), isOnes(), class Ones

Definition at line 580 of file CwiseNullaryOp.h.

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const DenseBase< Derived >::ConstantReturnType Eigen::DenseBase< Derived >::Ones ( )

static

Returns: an expression of a fixed-size matrix or vector where all coefficients equal one.

This variant is only for fixed-size MatrixBase types. For dynamic-size types, you need to use the variants taking size arguments.

Example:

cout << Matrix2d::Ones() << endl;

cout << 6 * RowVector4i::Ones() << endl;

Output:

See also: Ones(Index), Ones(Index,Index), isOnes(), class Ones

Definition at line 597 of file CwiseNullaryOp.h.

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived & Eigen::DenseBase< Derived >::operator*= ( const Scalar & other )

Definition at line 18 of file SelfCwiseBinaryOp.h.

template<typename Derived >

template<typename OtherDerived >

EIGEN_DEVICE_FUNC Derived & Eigen::DenseBase< Derived >::operator+= ( const EigenBase< OtherDerived > & other )

Definition at line 142 of file EigenBase.h.

template<typename Derived >

template<typename OtherDerived >

EIGEN_DEVICE_FUNC Derived & Eigen::DenseBase< Derived >::operator-= ( const EigenBase< OtherDerived > & other )

Definition at line 151 of file EigenBase.h.

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived & Eigen::DenseBase< Derived >::operator/= ( const Scalar & other )

Definition at line 39 of file SelfCwiseBinaryOp.h.

template<typename Derived>

template<typename OtherDerived >

CommaInitializer<Derived> Eigen::DenseBase< Derived >::operator<< ( const DenseBase< OtherDerived > & other )

inline

See also: operator<<(const Scalar&)

Definition at line 153 of file CommaInitializer.h.

template<typename Derived >

CommaInitializer< Derived > Eigen::DenseBase< Derived >::operator<< ( const Scalar & s )

inline

Convenient operator to set the coefficients of a matrix.

The coefficients must be provided in a row major order and exactly match the size of the matrix. Otherwise an assertion is raised.

Example:

Matrix3i m1;
m1 << 1, 2, 3,
      4, 5, 6,
      7, 8, 9;
cout << m1 << endl << endl;
Matrix3i m2 = Matrix3i::Identity();
m2.block(0,0, 2,2) << 10, 11, 12, 13;
cout << m2 << endl << endl;
Vector2i v1;
v1 << 14, 15;
m2 << v1.transpose(), 16,
      v1, m1.block(1,1,2,2);
cout << m2 << endl;

Output:

Note: According the c++ standard, the argument expressions of this comma initializer are evaluated in arbitrary order.

See also: CommaInitializer::finished(), class CommaInitializer

Definition at line 144 of file CommaInitializer.h.

template<typename Derived>

template<typename OtherDerived >

EIGEN_DEVICE_FUNC CommaInitializer<Derived> Eigen::DenseBase< Derived >::operator<< ( const DenseBase< OtherDerived > & other )

template<typename Derived>

template<typename OtherDerived >

Derived& Eigen::DenseBase< Derived >::operator= ( const ReturnByValue< OtherDerived > & other )

Definition at line 82 of file ReturnByValue.h.

template<typename Derived >

template<typename OtherDerived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived & Eigen::DenseBase< Derived >::operator= ( const DenseBase< OtherDerived > & other )

Copies other into *this.

Returns: a reference to *this.

Definition at line 39 of file Assign.h.

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived & Eigen::DenseBase< Derived >::operator= ( const DenseBase< Derived > & other )

Special case of the template operator=, in order to prevent the compiler from generating a default operator= (issue hit with g++ 4.1)

Definition at line 47 of file Assign.h.

template<typename Derived >

template<typename OtherDerived >

EIGEN_DEVICE_FUNC Derived & Eigen::DenseBase< Derived >::operator= ( const EigenBase< OtherDerived > & other )

Copies the generic expression other into *this.

The expression must provide a (templated) evalTo(Derived& dst) const function which does the actual job. In practice, this allows any user to write its own special matrix without having to modify MatrixBase

Returns: a reference to *this.

Definition at line 133 of file EigenBase.h.

template<typename Derived>

template<typename OtherDerived >

EIGEN_DEVICE_FUNC Derived& Eigen::DenseBase< Derived >::operator= ( const ReturnByValue< OtherDerived > & func )

template<typename Derived>

EIGEN_DEVICE_FUNC Index Eigen::DenseBase< Derived >::outerSize ( ) const

inline

Returns: the outer size.

Note: For a vector, this returns just 1. For a matrix (non-vector), this is the major dimension with respect to the storage order, i.e., the number of columns for a column-major matrix, and the number of rows for a row-major matrix.

Definition at line 218 of file DenseBase.h.

template<typename Derived >

EIGEN_STRONG_INLINE internal::traits< Derived >::Scalar Eigen::DenseBase< Derived >::prod ( ) const

Returns: the product of all coefficients of *this

Example:

Matrix3d m = Matrix3d::Random();
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is the product of all the coefficients:" << endl << m.prod() << endl;

Output:

See also: sum(), mean(), trace()

Definition at line 483 of file Redux.h.

template<typename Derived >

const DenseBase< Derived >::RandomReturnType Eigen::DenseBase< Derived >::Random	(	Index	rows,
		Index	cols
	)

inlinestatic

Returns: a random matrix expression

Numbers are uniformly spread through their whole definition range for integer types, and in the [-1:1] range for floating point scalar types.

The parameters rows and cols are the number of rows and of columns of the returned matrix. Must be compatible with this MatrixBase type.

This variant is meant to be used for dynamic-size matrix types. For fixed-size types, it is redundant to pass rows and cols as arguments, so Random() should be used instead.

Example:

cout << MatrixXi::Random(2,3) << endl;

Output:

This expression has the "evaluate before nesting" flag so that it will be evaluated into a temporary matrix whenever it is nested in a larger expression. This prevents unexpected behavior with expressions involving random matrices.

See DenseBase::NullaryExpr(Index, const CustomNullaryOp&) for an example using C++11 random generators.

See also: DenseBase::setRandom(), DenseBase::Random(Index), DenseBase::Random()

Definition at line 56 of file Random.h.

template<typename Derived >

const DenseBase< Derived >::RandomReturnType Eigen::DenseBase< Derived >::Random ( Index size )

inlinestatic

Returns: a random vector expression

Numbers are uniformly spread through their whole definition range for integer types, and in the [-1:1] range for floating point scalar types.

The parameter size is the size of the returned vector. Must be compatible with this MatrixBase type.

This variant is meant to be used for dynamic-size vector types. For fixed-size types, it is redundant to pass size as argument, so Random() should be used instead.

Example:

cout << VectorXi::Random(2) << endl;

Output:

This expression has the "evaluate before nesting" flag so that it will be evaluated into a temporary vector whenever it is nested in a larger expression. This prevents unexpected behavior with expressions involving random matrices.

See also: DenseBase::setRandom(), DenseBase::Random(Index,Index), DenseBase::Random()

Definition at line 87 of file Random.h.

template<typename Derived >

const DenseBase< Derived >::RandomReturnType Eigen::DenseBase< Derived >::Random ( )

inlinestatic

Returns: a fixed-size random matrix or vector expression

Numbers are uniformly spread through their whole definition range for integer types, and in the [-1:1] range for floating point scalar types.

This variant is only for fixed-size MatrixBase types. For dynamic-size types, you need to use the variants taking size arguments.

Example:

cout << 100 * Matrix2i::Random() << endl;

Output:

This expression has the "evaluate before nesting" flag so that it will be evaluated into a temporary matrix whenever it is nested in a larger expression. This prevents unexpected behavior with expressions involving random matrices.

See also: DenseBase::setRandom(), DenseBase::Random(Index,Index), DenseBase::Random(Index)

Definition at line 113 of file Random.h.

template<typename Derived>

template<typename Func >

EIGEN_STRONG_INLINE internal::traits<Derived>::Scalar Eigen::DenseBase< Derived >::redux ( const Func & func ) const

Returns: the result of a full redux operation on the whole matrix or vector using func

The template parameter BinaryOp is the type of the functor func which must be an associative operator. Both current C++98 and C++11 functor styles are handled.

See also: DenseBase::sum(), DenseBase::minCoeff(), DenseBase::maxCoeff(), MatrixBase::colwise(), MatrixBase::rowwise()

Definition at line 411 of file Redux.h.

template<typename Derived>

template<typename BinaryOp >

EIGEN_DEVICE_FUNC Scalar Eigen::DenseBase< Derived >::redux ( const BinaryOp & func ) const

template<typename Derived>

template<int RowFactor, int ColFactor>

const Replicate<Derived,RowFactor,ColFactor> Eigen::DenseBase< Derived >::replicate ( ) const

Returns: an expression of the replication of *this

Example:

MatrixXi m = MatrixXi::Random(2,3);
cout << "Here is the matrix m:" << endl << m << endl;
cout << "m.replicate<3,2>() = ..." << endl;
cout << m.replicate<3,2>() << endl;

Output:

See also: VectorwiseOp::replicate(), DenseBase::replicate(Index,Index), class Replicate

Definition at line 119 of file Replicate.h.

template<typename Derived>

template<int RowFactor, int ColFactor>

EIGEN_DEVICE_FUNC const Replicate<Derived,RowFactor,ColFactor> Eigen::DenseBase< Derived >::replicate ( ) const

template<typename Derived>

EIGEN_DEVICE_FUNC const Replicate<Derived, Dynamic, Dynamic> Eigen::DenseBase< Derived >::replicate	(	Index	rowFactor,
		Index	colFactor
	)		const

inline

Returns: an expression of the replication of *this

Example:

Vector3i v = Vector3i::Random();
cout << "Here is the vector v:" << endl << v << endl;
cout << "v.replicate(2,5) = ..." << endl;
cout << v.replicate(2,5) << endl;

Output:

See also: VectorwiseOp::replicate(), DenseBase::replicate<int,int>(), class Replicate

Definition at line 554 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC void Eigen::DenseBase< Derived >::resize ( Index newSize )

inline

Only plain matrices/arrays, not expressions, may be resized; therefore the only useful resize methods are Matrix::resize() and Array::resize(). The present method only asserts that the new size equals the old size, and does nothing else.

Definition at line 241 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC void Eigen::DenseBase< Derived >::resize	(	Index	rows,
		Index	cols
	)

inline

Only plain matrices/arrays, not expressions, may be resized; therefore the only useful resize methods are Matrix::resize() and Array::resize(). The present method only asserts that the new size equals the old size, and does nothing else.

Definition at line 252 of file DenseBase.h.

template<typename Derived >

DenseBase< Derived >::ReverseReturnType Eigen::DenseBase< Derived >::reverse ( )

inline

Returns: an expression of the reverse of *this.

Example:

MatrixXi m = MatrixXi::Random(3,4);
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is the reverse of m:" << endl << m.reverse() << endl;
cout << "Here is the coefficient (1,0) in the reverse of m:" << endl
     << m.reverse()(1,0) << endl;
cout << "Let us overwrite this coefficient with the value 4." << endl;
m.reverse()(1,0) = 4;
cout << "Now the matrix m is:" << endl << m << endl;

Output:

Definition at line 118 of file Reverse.h.

template<typename Derived>

EIGEN_DEVICE_FUNC ConstReverseReturnType Eigen::DenseBase< Derived >::reverse ( ) const

inline

This is the const version of reverse().

Definition at line 564 of file DenseBase.h.

template<typename Derived >

void Eigen::DenseBase< Derived >::reverseInPlace ( )

inline

This is the "in place" version of reverse: it reverses *this.

In most cases it is probably better to simply use the reversed expression of a matrix. However, when reversing the matrix data itself is really needed, then this "in-place" version is probably the right choice because it provides the following additional benefits:

less error prone: doing the same operation with .reverse() requires special care:
m = m.reverse().eval();
this API enables reverse operations without the need for a temporary
it allows future optimizations (cache friendliness, etc.)

See also: VectorwiseOp::reverseInPlace(), reverse()

Definition at line 139 of file Reverse.h.

template<typename Derived>

EIGEN_DEVICE_FUNC ColsBlockXpr Eigen::DenseBase< Derived >::rightCols ( Index n )

inline

Returns: a block consisting of the right columns of *this.

Parameters

n	the number of columns in the block

Example:

Array44i a = Array44i::Random();
cout << "Here is the array a:" << endl << a << endl;
cout << "Here is a.rightCols(2):" << endl;
cout << a.rightCols(2) << endl;
a.rightCols(2).setZero();
cout << "Now the array a is:" << endl << a << endl;

Output:

See also: class Block, block(Index,Index,Index,Index)

Definition at line 659 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC ConstColsBlockXpr Eigen::DenseBase< Derived >::rightCols ( Index n ) const

inline

This is the const version of rightCols(Index).

Definition at line 666 of file DenseBase.h.

template<typename Derived>

template<int N>

EIGEN_DEVICE_FUNC NColsBlockXpr<N>::Type Eigen::DenseBase< Derived >::rightCols ( Index n = N )

inline

Returns: a block consisting of the right columns of *this.

Template Parameters

N	the number of columns in the block as specified at compile-time

Parameters

n	the number of columns in the block as specified at run-time

The compile-time and run-time information should not contradict. In other words, n should equal N unless N is Dynamic.

Example:

Array44i a = Array44i::Random();
cout << "Here is the array a:" << endl << a << endl;
cout << "Here is a.rightCols<2>():" << endl;
cout << a.rightCols<2>() << endl;
a.rightCols<2>().setZero();
cout << "Now the array a is:" << endl << a << endl;

Output:

See also: class Block, block(Index,Index,Index,Index)

Definition at line 688 of file DenseBase.h.

template<typename Derived>

template<int N>

EIGEN_DEVICE_FUNC ConstNColsBlockXpr<N>::Type Eigen::DenseBase< Derived >::rightCols ( Index n = N ) const

inline

This is the const version of rightCols<int>().

Definition at line 696 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC RowXpr Eigen::DenseBase< Derived >::row ( Index i )

inline

Returns: an expression of the i-th row of *this. Note that the numbering starts at 0.

Example:

Matrix3d m = Matrix3d::Identity();
m.row(1) = Vector3d(4,5,6);
cout << m << endl;

Output:

See also: col(), class Block

Definition at line 860 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC ConstRowXpr Eigen::DenseBase< Derived >::row ( Index i ) const

inline

This is the const version of row(). */.

Definition at line 867 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC ConstRowwiseReturnType Eigen::DenseBase< Derived >::rowwise ( ) const

inline

Returns: a VectorwiseOp wrapper of *this providing additional partial reduction operations

Example:

Matrix3d m = Matrix3d::Random();
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is the sum of each row:" << endl << m.rowwise().sum() << endl;
cout << "Here is the maximum absolute value of each row:"
     << endl << m.cwiseAbs().rowwise().maxCoeff() << endl;

Output:

See also: colwise(), class VectorwiseOp, TutorialReductionsVisitorsBroadcasting

Definition at line 504 of file DenseBase.h.

template<typename Derived >

DenseBase< Derived >::RowwiseReturnType Eigen::DenseBase< Derived >::rowwise ( )

inline

Returns: a writable VectorwiseOp wrapper of *this providing additional partial reduction operations

See also: colwise(), class VectorwiseOp, TutorialReductionsVisitorsBroadcasting

Definition at line 688 of file VectorwiseOp.h.

template<typename Derived>

EIGEN_DEVICE_FUNC SegmentReturnType Eigen::DenseBase< Derived >::segment	(	Index	start,
		Index	n
	)

inline

Returns: a dynamic-size expression of a segment (i.e. a vector block) in *this.

Parameters

start	the first coefficient in the segment
n	the number of coefficients in the segment

Example:

RowVector4i v = RowVector4i::Random();
cout << "Here is the vector v:" << endl << v << endl;
cout << "Here is v.segment(1, 2):" << endl << v.segment(1, 2) << endl;
v.segment(1, 2).setZero();
cout << "Now the vector v is:" << endl << v << endl;

Output:

Note: Even though the returned expression has dynamic size, in the case when it is applied to a fixed-size vector, it inherits a fixed maximal size, which means that evaluating it does not cause a dynamic memory allocation.

See also: class Block, segment(Index)

Definition at line 889 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC ConstSegmentReturnType Eigen::DenseBase< Derived >::segment	(	Index	start,
		Index	n
	)		const

inline

This is the const version of segment(Index,Index).

Definition at line 898 of file DenseBase.h.

template<typename Derived>

template<int N>

EIGEN_DEVICE_FUNC FixedSegmentReturnType<N>::Type Eigen::DenseBase< Derived >::segment	(	Index	start,
		Index	n = `N`
	)

inline

Returns: a fixed-size expression of a segment (i.e. a vector block) in *this

Template Parameters

N	the number of coefficients in the segment as specified at compile-time

Parameters

start	the index of the first element in the segment
n	the number of coefficients in the segment as specified at compile-time

The compile-time and run-time information should not contradict. In other words, n should equal N unless N is Dynamic.

Example:

RowVector4i v = RowVector4i::Random();
cout << "Here is the vector v:" << endl << v << endl;
cout << "Here is v.segment<2>(1):" << endl << v.segment<2>(1) << endl;
v.segment<2>(2).setZero();
cout << "Now the vector v is:" << endl << v << endl;

Output:

See also: class Block

Definition at line 982 of file DenseBase.h.

template<typename Derived>

template<int N>

EIGEN_DEVICE_FUNC ConstFixedSegmentReturnType<N>::Type Eigen::DenseBase< Derived >::segment	(	Index	start,
		Index	n = `N`
	)		const

inline

This is the const version of segment<int>(Index).

Definition at line 991 of file DenseBase.h.

template<typename Derived >

template<typename ThenDerived , typename ElseDerived >

const Select< Derived, ThenDerived, ElseDerived > Eigen::DenseBase< Derived >::select	(	const DenseBase< ThenDerived > &	thenMatrix,
		const DenseBase< ElseDerived > &	elseMatrix
	)		const

inline

Returns: a matrix where each coefficient (i,j) is equal to thenMatrix(i,j) if *this(i,j), and elseMatrix(i,j) otherwise.

Example:

MatrixXi m(3, 3);
m << 1, 2, 3,
     4, 5, 6,
     7, 8, 9;
m = (m.array() >= 5).select(-m, m);
cout << m << endl;

Output:

See also: class Select

Definition at line 124 of file Select.h.

template<typename Derived >

template<typename ThenDerived >

const Select< Derived, ThenDerived, typename ThenDerived::ConstantReturnType > Eigen::DenseBase< Derived >::select	(	const DenseBase< ThenDerived > &	thenMatrix,
		const typename ThenDerived::Scalar &	elseScalar
	)		const

inline

Version of DenseBase::select(const DenseBase&, const DenseBase&) with the else expression being a scalar value.

See also: DenseBase::select(const DenseBase<ThenDerived>&, const DenseBase<ElseDerived>&) const, class Select

Definition at line 138 of file Select.h.

template<typename Derived >

template<typename ElseDerived >

const Select< Derived, typename ElseDerived::ConstantReturnType, ElseDerived > Eigen::DenseBase< Derived >::select	(	const typename ElseDerived::Scalar &	thenScalar,
		const DenseBase< ElseDerived > &	elseMatrix
	)		const

inline

Version of DenseBase::select(const DenseBase&, const DenseBase&) with the then expression being a scalar value.

See also: DenseBase::select(const DenseBase<ThenDerived>&, const DenseBase<ElseDerived>&) const, class Select

Definition at line 153 of file Select.h.

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived & Eigen::DenseBase< Derived >::setConstant ( const Scalar & val )

Sets all coefficients in this expression to value val.

See also: fill(), setConstant(Index,const Scalar&), setConstant(Index,Index,const Scalar&), setZero(), setOnes(), Constant(), class CwiseNullaryOp, setZero(), setOnes()

Definition at line 325 of file CwiseNullaryOp.h.

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived & Eigen::DenseBase< Derived >::setLinSpaced	(	Index	newSize,
		const Scalar &	low,
		const Scalar &	high
	)

Sets a linearly spaced vector.

The function generates 'size' equally spaced values in the closed interval [low,high]. When size is set to 1, a vector of length 1 containing 'high' is returned.

Example:

VectorXf v;
v.setLinSpaced(5,0.5f,1.5f);
cout << v << endl;

Output:

For integer scalar types, do not miss the explanations on the definition of even spacing .

See also: LinSpaced(Index,const Scalar&,const Scalar&), CwiseNullaryOp

Definition at line 383 of file CwiseNullaryOp.h.

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived & Eigen::DenseBase< Derived >::setLinSpaced	(	const Scalar &	low,
		const Scalar &	high
	)

Sets a linearly spaced vector.

The function fills *this with equally spaced values in the closed interval [low,high]. When size is set to 1, a vector of length 1 containing 'high' is returned.

For integer scalar types, do not miss the explanations on the definition of even spacing .

See also: LinSpaced(Index,const Scalar&,const Scalar&), setLinSpaced(Index, const Scalar&, const Scalar&), CwiseNullaryOp

Definition at line 403 of file CwiseNullaryOp.h.

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived & Eigen::DenseBase< Derived >::setOnes ( )

Sets all coefficients in this expression to one.

Example:

Matrix4i m = Matrix4i::Random();
m.row(1).setOnes();
cout << m << endl;

Output:

See also: class CwiseNullaryOp, Ones()

Definition at line 625 of file CwiseNullaryOp.h.

template<typename Derived >

Derived & Eigen::DenseBase< Derived >::setRandom ( )

inline

Sets all coefficients in this expression to random values.

Numbers are uniformly spread through their whole definition range for integer types, and in the [-1:1] range for floating point scalar types.

Example:

Matrix4i m = Matrix4i::Zero();
m.col(1).setRandom();
cout << m << endl;

Output:

See also: class CwiseNullaryOp, setRandom(Index), setRandom(Index,Index)

Definition at line 131 of file Random.h.

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived & Eigen::DenseBase< Derived >::setZero ( )

Sets all coefficients in this expression to zero.

Example:

Matrix4i m = Matrix4i::Random();
m.row(1).setZero();
cout << m << endl;

Output:

See also: class CwiseNullaryOp, Zero()

Definition at line 499 of file CwiseNullaryOp.h.

template<typename Derived >

EIGEN_STRONG_INLINE internal::traits< Derived >::Scalar Eigen::DenseBase< Derived >::sum ( ) const

Returns: the sum of all coefficients of *this

If *this is empty, then the value 0 is returned.

See also: trace(), prod(), mean()

Definition at line 449 of file Redux.h.

template<typename Derived>

template<typename OtherDerived >

EIGEN_DEVICE_FUNC void Eigen::DenseBase< Derived >::swap ( const DenseBase< OtherDerived > & other )

inline

swaps *this with the expression other.

Definition at line 414 of file DenseBase.h.

template<typename Derived>

template<typename OtherDerived >

EIGEN_DEVICE_FUNC void Eigen::DenseBase< Derived >::swap ( PlainObjectBase< OtherDerived > & other )

inline

swaps *this with the matrix or array other.

Definition at line 426 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC SegmentReturnType Eigen::DenseBase< Derived >::tail ( Index n )

inline

Returns: a dynamic-size expression of the last coefficients of *this.

Parameters

n	the number of coefficients in the segment

Example:

RowVector4i v = RowVector4i::Random();
cout << "Here is the vector v:" << endl << v << endl;
cout << "Here is v.tail(2):" << endl << v.tail(2) << endl;
v.tail(2).setZero();
cout << "Now the vector v is:" << endl << v << endl;

Output:

Note: Even though the returned expression has dynamic size, in the case when it is applied to a fixed-size vector, it inherits a fixed maximal size, which means that evaluating it does not cause a dynamic memory allocation.

See also: class Block, block(Index,Index)

Definition at line 950 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC ConstSegmentReturnType Eigen::DenseBase< Derived >::tail ( Index n ) const

inline

This is the const version of tail(Index).

Definition at line 958 of file DenseBase.h.

template<typename Derived>

template<int N>

EIGEN_DEVICE_FUNC FixedSegmentReturnType<N>::Type Eigen::DenseBase< Derived >::tail ( Index n = N )

inline

Returns: a fixed-size expression of the last coefficients of *this.

Template Parameters

N	the number of coefficients in the segment as specified at compile-time

Parameters

n	the number of coefficients in the segment as specified at run-time

The compile-time and run-time information should not contradict. In other words, n should equal N unless N is Dynamic.

Example:

RowVector4i v = RowVector4i::Random();
cout << "Here is the vector v:" << endl << v << endl;
cout << "Here is v.tail(2):" << endl << v.tail<2>() << endl;
v.tail<2>().setZero();
cout << "Now the vector v is:" << endl << v << endl;

Output:

See also: class Block

Definition at line 1046 of file DenseBase.h.

template<typename Derived>

template<int N>

EIGEN_DEVICE_FUNC ConstFixedSegmentReturnType<N>::Type Eigen::DenseBase< Derived >::tail ( Index n = N ) const

inline

This is the const version of tail<int>.

Definition at line 1055 of file DenseBase.h.

template<typename Derived>

EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL EIGEN_DEVICE_FUNC BlockXpr Eigen::DenseBase< Derived >::topLeftCorner	(	Index	cRows,
		Index	cCols
	)

inline

Returns: a dynamic-size expression of a top-left corner of *this.

Parameters

cRows	the number of rows in the corner
cCols	the number of columns in the corner

Example:

Matrix4i m = Matrix4i::Random();
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is m.topLeftCorner(2, 2):" << endl;
cout << m.topLeftCorner(2, 2) << endl;
m.topLeftCorner(2, 2).setZero();
cout << "Now the matrix m is:" << endl << m << endl;

Output:

See also: class Block, block(Index,Index,Index,Index)

Definition at line 179 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC const ConstBlockXpr Eigen::DenseBase< Derived >::topLeftCorner	(	Index	cRows,
		Index	cCols
	)		const

inline

This is the const version of topLeftCorner(Index, Index).

Definition at line 186 of file DenseBase.h.

template<typename Derived>

template<int CRows, int CCols>

EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL EIGEN_DEVICE_FUNC FixedBlockXpr<CRows,CCols>::Type Eigen::DenseBase< Derived >::topLeftCorner ( )

inline

Returns: an expression of a fixed-size top-left corner of *this.

The template parameters CRows and CCols are the number of rows and columns in the corner.

Example:

Matrix4i m = Matrix4i::Random();
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is m.topLeftCorner<2,2>():" << endl;
cout << m.topLeftCorner<2,2>() << endl;
m.topLeftCorner<2,2>().setZero();
cout << "Now the matrix m is:" << endl << m << endl;

Output:

See also: class Block, block(Index,Index,Index,Index)

Definition at line 204 of file DenseBase.h.

template<typename Derived>

template<int CRows, int CCols>

EIGEN_DEVICE_FUNC const ConstFixedBlockXpr<CRows,CCols>::Type Eigen::DenseBase< Derived >::topLeftCorner ( ) const

inline

This is the const version of topLeftCorner<int, int>().

Definition at line 212 of file DenseBase.h.

template<typename Derived>

template<int CRows, int CCols>

EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL FixedBlockXpr<CRows,CCols>::Type Eigen::DenseBase< Derived >::topLeftCorner	(	Index	cRows,
		Index	cCols
	)

inline

Returns: an expression of a top-left corner of *this.

Template Parameters

CRows	number of rows in corner as specified at compile-time
CCols	number of columns in corner as specified at compile-time

Parameters

cRows	number of rows in corner as specified at run-time
cCols	number of columns in corner as specified at run-time

This function is mainly useful for corners where the number of rows is specified at compile-time and the number of columns is specified at run-time, or vice versa. The compile-time and run-time information should not contradict. In other words, cRows should equal CRows unless CRows is Dynamic, and the same for the number of columns.

Example:

Matrix4i m = Matrix4i::Random();
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is m.topLeftCorner<2,Dynamic>(2,2):" << endl;
cout << m.topLeftCorner<2,Dynamic>(2,2) << endl;
m.topLeftCorner<2,Dynamic>(2,2).setZero();
cout << "Now the matrix m is:" << endl << m << endl;

Output:

See also: class Block

Definition at line 237 of file DenseBase.h.

template<typename Derived>

template<int CRows, int CCols>

const ConstFixedBlockXpr<CRows,CCols>::Type Eigen::DenseBase< Derived >::topLeftCorner	(	Index	cRows,
		Index	cCols
	)		const

inline

This is the const version of topLeftCorner<int, int>(Index, Index).

Definition at line 244 of file DenseBase.h.

template<typename Derived>

EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL EIGEN_DEVICE_FUNC BlockXpr Eigen::DenseBase< Derived >::topRightCorner	(	Index	cRows,
		Index	cCols
	)

inline

Returns: a dynamic-size expression of a top-right corner of *this.

Parameters

cRows	the number of rows in the corner
cCols	the number of columns in the corner

Example:

Matrix4i m = Matrix4i::Random();
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is m.topRightCorner(2, 2):" << endl;
cout << m.topRightCorner(2, 2) << endl;
m.topRightCorner(2, 2).setZero();
cout << "Now the matrix m is:" << endl << m << endl;

Output:

See also: class Block, block(Index,Index,Index,Index)

Definition at line 93 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC const ConstBlockXpr Eigen::DenseBase< Derived >::topRightCorner	(	Index	cRows,
		Index	cCols
	)		const

inline

This is the const version of topRightCorner(Index, Index).

Definition at line 100 of file DenseBase.h.

template<typename Derived>

template<int CRows, int CCols>

EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL EIGEN_DEVICE_FUNC FixedBlockXpr<CRows,CCols>::Type Eigen::DenseBase< Derived >::topRightCorner ( )

inline

Returns: an expression of a fixed-size top-right corner of *this.

Template Parameters

CRows	the number of rows in the corner
CCols	the number of columns in the corner

Example:

Matrix4i m = Matrix4i::Random();
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is m.topRightCorner<2,2>():" << endl;
cout << m.topRightCorner<2,2>() << endl;
m.topRightCorner<2,2>().setZero();
cout << "Now the matrix m is:" << endl << m << endl;

Output:

See also: class Block, block<int,int>(Index,Index)

Definition at line 119 of file DenseBase.h.

template<typename Derived>

template<int CRows, int CCols>

EIGEN_DEVICE_FUNC const ConstFixedBlockXpr<CRows,CCols>::Type Eigen::DenseBase< Derived >::topRightCorner ( ) const

inline

This is the const version of topRightCorner<int, int>().

Definition at line 127 of file DenseBase.h.

template<typename Derived>

template<int CRows, int CCols>

EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL FixedBlockXpr<CRows,CCols>::Type Eigen::DenseBase< Derived >::topRightCorner	(	Index	cRows,
		Index	cCols
	)

inline

Returns: an expression of a top-right corner of *this.

Template Parameters

CRows	number of rows in corner as specified at compile-time
CCols	number of columns in corner as specified at compile-time

Parameters

cRows	number of rows in corner as specified at run-time
cCols	number of columns in corner as specified at run-time

This function is mainly useful for corners where the number of rows is specified at compile-time and the number of columns is specified at run-time, or vice versa. The compile-time and run-time information should not contradict. In other words, cRows should equal CRows unless CRows is Dynamic, and the same for the number of columns.

Example:

Matrix4i m = Matrix4i::Random();
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is m.topRightCorner<2,Dynamic>(2,2):" << endl;
cout << m.topRightCorner<2,Dynamic>(2,2) << endl;
m.topRightCorner<2,Dynamic>(2,2).setZero();
cout << "Now the matrix m is:" << endl << m << endl;

Output:

See also: class Block

Definition at line 152 of file DenseBase.h.

template<typename Derived>

template<int CRows, int CCols>

const ConstFixedBlockXpr<CRows,CCols>::Type Eigen::DenseBase< Derived >::topRightCorner	(	Index	cRows,
		Index	cCols
	)		const

inline

This is the const version of topRightCorner<int, int>(Index, Index).

Definition at line 159 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC RowsBlockXpr Eigen::DenseBase< Derived >::topRows ( Index n )

inline

Returns: a block consisting of the top rows of *this.

Parameters

n	the number of rows in the block

Example:

Array44i a = Array44i::Random();
cout << "Here is the array a:" << endl << a << endl;
cout << "Here is a.topRows(2):" << endl;
cout << a.topRows(2) << endl;
a.topRows(2).setZero();
cout << "Now the array a is:" << endl << a << endl;

Output:

See also: class Block, block(Index,Index,Index,Index)

Definition at line 433 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC ConstRowsBlockXpr Eigen::DenseBase< Derived >::topRows ( Index n ) const

inline

This is the const version of topRows(Index).

Definition at line 440 of file DenseBase.h.

template<typename Derived>

template<int N>

EIGEN_DEVICE_FUNC NRowsBlockXpr<N>::Type Eigen::DenseBase< Derived >::topRows ( Index n = N )

inline

Returns: a block consisting of the top rows of *this.

Template Parameters

N	the number of rows in the block as specified at compile-time

Parameters

n	the number of rows in the block as specified at run-time

The compile-time and run-time information should not contradict. In other words, n should equal N unless N is Dynamic.

Example:

Array44i a = Array44i::Random();
cout << "Here is the array a:" << endl << a << endl;
cout << "Here is a.topRows<2>():" << endl;
cout << a.topRows<2>() << endl;
a.topRows<2>().setZero();
cout << "Now the array a is:" << endl << a << endl;

Output:

See also: class Block, block(Index,Index,Index,Index)

Definition at line 462 of file DenseBase.h.

template<typename Derived>

template<int N>

EIGEN_DEVICE_FUNC ConstNRowsBlockXpr<N>::Type Eigen::DenseBase< Derived >::topRows ( Index n = N ) const

inline

This is the const version of topRows<int>().

Definition at line 470 of file DenseBase.h.

template<typename Derived>

EIGEN_DEVICE_FUNC Scalar Eigen::DenseBase< Derived >::trace ( ) const

template<typename Derived >

Transpose< Derived > Eigen::DenseBase< Derived >::transpose ( )

inline

Returns: an expression of the transpose of *this.

Example:

Matrix2i m = Matrix2i::Random();
cout << "Here is the matrix m:" << endl << m << endl;
cout << "Here is the transpose of m:" << endl << m.transpose() << endl;
cout << "Here is the coefficient (1,0) in the transpose of m:" << endl
     << m.transpose()(1,0) << endl;
cout << "Let us overwrite this coefficient with the value 0." << endl;
m.transpose()(1,0) = 0;
cout << "Now the matrix m is:" << endl << m << endl;

Output:

Warning: If you want to replace a matrix by its own transpose, do NOT do this:
m = m.transpose(); // bug!!! caused by aliasing effect
Instead, use the transposeInPlace() method:
m.transposeInPlace();
which gives Eigen good opportunities for optimization, or alternatively you can also do:
m = m.transpose().eval();

See also: transposeInPlace(), adjoint()

Definition at line 172 of file Transpose.h.

template<typename Derived >

DenseBase< Derived >::ConstTransposeReturnType Eigen::DenseBase< Derived >::transpose ( ) const

inline

This is the const version of transpose().

Make sure you read the warning for transpose() !

See also: transposeInPlace(), adjoint()

Definition at line 184 of file Transpose.h.

template<typename Derived >

void Eigen::DenseBase< Derived >::transposeInPlace ( )

inline

This is the "in place" version of transpose(): it replaces *this by its own transpose. Thus, doing

m.transposeInPlace();

has the same effect on m as doing

m = m.transpose().eval();

and is faster and also safer because in the latter line of code, forgetting the eval() results in a bug caused by aliasing.

Notice however that this method is only useful if you want to replace a matrix by its own transpose. If you just need the transpose of a matrix, use transpose().

Note: if the matrix is not square, then *this must be a resizable matrix. This excludes (non-square) fixed-size matrices, block-expressions and maps.

See also: transpose(), adjoint(), adjointInPlace()

Definition at line 284 of file Transpose.h.

template<typename Derived>

EIGEN_DEVICE_FUNC CoeffReturnType Eigen::DenseBase< Derived >::value ( ) const

inline

Returns: the unique coefficient of a 1x1 expression

Definition at line 480 of file DenseBase.h.

template<typename Derived >

template<typename Visitor >

EIGEN_DEVICE_FUNC void Eigen::DenseBase< Derived >::visit ( Visitor & visitor ) const

Applies the visitor visitor to the whole coefficients of the matrix or vector.

The template parameter Visitor is the type of the visitor and provides the following interface:

struct MyVisitor {
  // called for the first coefficient
  void init(const Scalar& value, Index i, Index j);
  // called for all other coefficients
  void operator() (const Scalar& value, Index i, Index j);
};

Note: compared to one or two for loops, visitors offer automatic unrolling for small fixed size matrix.

See also: minCoeff(Index*,Index*), maxCoeff(Index*,Index*), DenseBase::redux()

Definition at line 107 of file Visitor.h.

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const DenseBase< Derived >::ConstantReturnType Eigen::DenseBase< Derived >::Zero	(	Index	rows,
		Index	cols
	)

static

Returns: an expression of a zero matrix.

The parameters rows and cols are the number of rows and of columns of the returned matrix. Must be compatible with this MatrixBase type.

This variant is meant to be used for dynamic-size matrix types. For fixed-size types, it is redundant to pass rows and cols as arguments, so Zero() should be used instead.

Example:

cout << MatrixXi::Zero(2,3) << endl;

Output:

See also: Zero(), Zero(Index)

Definition at line 427 of file CwiseNullaryOp.h.

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const DenseBase< Derived >::ConstantReturnType Eigen::DenseBase< Derived >::Zero ( Index size )

static

Returns: an expression of a zero vector.

The parameter size is the size of the returned vector. Must be compatible with this MatrixBase type.

This variant is meant to be used for dynamic-size vector types. For fixed-size types, it is redundant to pass size as argument, so Zero() should be used instead.

Example:

cout << RowVectorXi::Zero(4) << endl;

cout << VectorXf::Zero(2) << endl;

Output:

See also: Zero(), Zero(Index,Index)

Definition at line 450 of file CwiseNullaryOp.h.

template<typename Derived >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const DenseBase< Derived >::ConstantReturnType Eigen::DenseBase< Derived >::Zero ( )

static

Returns: an expression of a fixed-size zero matrix or vector.

This variant is only for fixed-size MatrixBase types. For dynamic-size types, you need to use the variants taking size arguments.

Example:

cout << Matrix2d::Zero() << endl;

cout << RowVector4i::Zero() << endl;

Output:

See also: Zero(Index), Zero(Index,Index)

Definition at line 467 of file CwiseNullaryOp.h.

Friends And Related Function Documentation

template<typename Derived >

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

If you wish to print the matrix with a format different than the default, use DenseBase::format().

It is also possible to change the default format by defining EIGEN_DEFAULT_IO_FORMAT before including Eigen headers. If not defined, this will automatically be defined to Eigen::IOFormat(), that is the Eigen::IOFormat with default parameters.

See also: DenseBase::format()

Definition at line 217 of file IO.h.

The documentation for this class was generated from the following files:

Classes

Public Types

Public Member Functions

Static Public Member Functions

Protected Member Functions

Private Member Functions

Related Functions

Detailed Description

template<typename Derived> class Eigen::DenseBase< Derived >

Member Typedef Documentation

Member Enumeration Documentation

Constructor & Destructor Documentation

Member Function Documentation

Friends And Related Function Documentation

template<typename Derived>
class Eigen::DenseBase< Derived >