Expression of a mathematical vector or matrix as an array object. More...

#include <src/eigen/Eigen/src/Core/ArrayWrapper.h>

Inheritance diagram for Eigen::ArrayWrapper< ExpressionType >:

Collaboration diagram for Eigen::ArrayWrapper< ExpressionType >:

Public Types
typedef ArrayBase< ArrayWrapper >	Base

typedef internal::remove_all< ExpressionType >::type	NestedExpression

typedef internal::conditional< internal::is_lvalue< ExpressionType >::value, Scalar, constScalar >::type	ScalarWithConstIfNotLvalue

typedef internal::ref_selector< ExpressionType >::non_const_type	NestedExpressionType

typedef ArrayBase	StorageBaseType

typedef ArrayBase	Eigen_BaseClassForSpecializationOfGlobalMathFuncImpl

typedef internal::traits< ArrayWrapper< ExpressionType > >::StorageKind	StorageKind

typedef internal::traits< ArrayWrapper< ExpressionType > >::Scalar	Scalar

typedef internal::packet_traits< Scalar >::type	PacketScalar

typedef NumTraits< Scalar >::Real	RealScalar

typedef Base::CoeffReturnType	CoeffReturnType

typedef Base::PlainObject	PlainObject

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

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 Eigen::InnerIterator< Derived >	InnerIterator

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

typedef Scalar	value_type

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

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

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

typedef Transpose< Derived >	TransposeReturnType

typedef internal::add_const< Transpose< constDerived > >::type	ConstTransposeReturnType

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

typedef VectorwiseOp< Derived, Horizontal >	RowwiseReturnType

typedef const VectorwiseOp< const Derived, Horizontal >	ConstRowwiseReturnType

typedef VectorwiseOp< Derived, Vertical >	ColwiseReturnType

typedef const VectorwiseOp< const Derived, Vertical >	ConstColwiseReturnType

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

typedef Reverse< Derived, BothDirections >	ReverseReturnType

typedef const Reverse< const Derived, BothDirections >	ConstReverseReturnType

Public Member Functions
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE	ArrayWrapper (ExpressionType &matrix)

EIGEN_DEVICE_FUNC Index	rows () const

EIGEN_DEVICE_FUNC Index	cols () const

EIGEN_DEVICE_FUNC Index	outerStride () const

EIGEN_DEVICE_FUNC Index	innerStride () const

EIGEN_DEVICE_FUNC ScalarWithConstIfNotLvalue *	data ()

EIGEN_DEVICE_FUNC const Scalar *	data () const

EIGEN_DEVICE_FUNC const Scalar &	coeffRef (Index rowId, Index colId) const

EIGEN_DEVICE_FUNC const Scalar &	coeffRef (Index index) const

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

const internal::remove_all< NestedExpressionType >::type &EIGEN_DEVICE_FUNC	nestedExpression () const

EIGEN_DEVICE_FUNC void	resize (Index newSize)

EIGEN_DEVICE_FUNC void	resize (Index rows, Index cols)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ArrayWrapper< ExpressionType > &	operator+= (const Scalar &scalar)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ArrayWrapper< ExpressionType > &	operator+= (const ArrayBase< OtherDerived > &other)

EIGEN_DEVICE_FUNC ArrayWrapper< ExpressionType > &	operator+= (const EigenBase< OtherDerived > &other)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ArrayWrapper< ExpressionType > &	operator-= (const Scalar &scalar)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ArrayWrapper< ExpressionType > &	operator-= (const ArrayBase< OtherDerived > &other)

EIGEN_DEVICE_FUNC ArrayWrapper< ExpressionType > &	operator-= (const EigenBase< OtherDerived > &other)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ArrayWrapper< ExpressionType > &	operator*= (const ArrayBase< OtherDerived > &other)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ArrayWrapper< ExpressionType > &	operator*= (const Scalar &other)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ArrayWrapper< ExpressionType > &	operator/= (const ArrayBase< OtherDerived > &other)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ArrayWrapper< ExpressionType > &	operator/= (const Scalar &other)

EIGEN_DEVICE_FUNC ArrayBase< ArrayWrapper< ExpressionType > > &	array ()

EIGEN_DEVICE_FUNC const ArrayBase< ArrayWrapper< ExpressionType > > &	array () const

EIGEN_DEVICE_FUNC MatrixWrapper< ArrayWrapper< ExpressionType > >	matrix ()

EIGEN_DEVICE_FUNC const MatrixWrapper< const ArrayWrapper< ExpressionType > >	matrix () const

EIGEN_DEVICE_FUNC ArrayWrapper< ExpressionType > &	lazyAssign (const DenseBase< OtherDerived > &other)

EIGEN_STRONG_INLINE ArrayWrapper< ExpressionType > &	lazyAssign (const DenseBase< OtherDerived > &other)

EIGEN_DEVICE_FUNC Index	nonZeros () const

EIGEN_DEVICE_FUNC Index	outerSize () const

EIGEN_DEVICE_FUNC Index	innerSize () const

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

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

EIGEN_DEVICE_FUNC TransposeReturnType	transpose ()

EIGEN_DEVICE_FUNC ConstTransposeReturnType	transpose () const

EIGEN_DEVICE_FUNC void	transposeInPlace ()

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 void	fill (const Scalar &value)

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.

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

EIGEN_DEVICE_FUNC Derived &	setZero ()

EIGEN_DEVICE_FUNC Derived &	setOnes ()

EIGEN_DEVICE_FUNC Derived &	setRandom ()

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

template<typename OtherDerived >
bool	isApprox (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

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	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

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

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

bool	hasNaN () const

bool	allFinite () const

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EvalReturnType	eval () 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 const NestByValue< Derived >	nestByValue () 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 ()

EIGEN_DEVICE_FUNC Scalar	sum () const

EIGEN_DEVICE_FUNC Scalar	mean () const

EIGEN_DEVICE_FUNC Scalar	trace () const

EIGEN_DEVICE_FUNC Scalar	prod () const

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 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

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

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

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

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

EIGEN_DEVICE_FUNC CoeffReturnType	value () const

EIGEN_DEVICE_FUNC bool	all () const

EIGEN_DEVICE_FUNC bool	any () const

EIGEN_DEVICE_FUNC Index	count () const

EIGEN_DEVICE_FUNC ConstRowwiseReturnType	rowwise () const

EIGEN_DEVICE_FUNC RowwiseReturnType	rowwise ()

EIGEN_DEVICE_FUNC ConstColwiseReturnType	colwise () const

EIGEN_DEVICE_FUNC ColwiseReturnType	colwise ()

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

template<int p>
RealScalar	lpNorm () 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

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

EIGEN_DEVICE_FUNC ReverseReturnType	reverse ()

EIGEN_DEVICE_FUNC ConstReverseReturnType	reverse () const

EIGEN_DEVICE_FUNC void	reverseInPlace ()

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.

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.

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	Zero (Index rows, Index cols)

static EIGEN_DEVICE_FUNC const ConstantReturnType	Zero (Index size)

static EIGEN_DEVICE_FUNC const ConstantReturnType	Zero ()

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 ()

Protected Member Functions
ArrayWrapper< ExpressionType > &	operator+= (const MatrixBase< OtherDerived > &)

ArrayWrapper< ExpressionType > &	operator-= (const MatrixBase< OtherDerived > &)

Protected Attributes
NestedExpressionType	m_expression

Related Symbols
(Note that these are not member symbols.)
internal::enable_if<!(internal::is_same< typenameDerived::Scalar, ScalarExponent >::value)&&EIGEN_SCALAR_BINARY_SUPPORTED(pow, typenameDerived::Scalar, ScalarExponent), constEIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE(ArrayWrapper< ExpressionType >, ScalarExponent, pow)>::type	pow (const Eigen::ArrayBase< ArrayWrapper< ExpressionType > > &x, const ScalarExponent &exponent)

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

internal::enable_if<!(internal::is_same< typenameDerived::Scalar, Scalar >::value)&&EIGEN_SCALAR_BINARY_SUPPORTED(pow, Scalar, typenameDerived::Scalar), constEIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(Scalar, ArrayWrapper< ExpressionType >, pow)>::type	pow (const Scalar &x, const Eigen::ArrayBase< ArrayWrapper< ExpressionType > > &exponents)

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

Detailed Description

template<typename ExpressionType>
class Eigen::ArrayWrapper< ExpressionType >

Expression of a mathematical vector or matrix as an array object.

This class is the return type of MatrixBase::array(), and most of the time this is the only way it is use.

See also: MatrixBase::array(), class MatrixWrapper

Member Typedef Documentation

◆ Base

template<typename ExpressionType >

typedef ArrayBase<ArrayWrapper> Eigen::ArrayWrapper< ExpressionType >::Base

◆ CoeffReturnType

typedef Base::CoeffReturnType Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::CoeffReturnType

inherited

◆ ColwiseReturnType

template<typename Derived >

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

inherited

◆ ConstantReturnType

typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,PlainObject> Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::ConstantReturnType

inherited

◆ ConstColwiseReturnType

template<typename Derived >

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

inherited

◆ ConstReverseReturnType

template<typename Derived >

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

inherited

◆ ConstRowwiseReturnType

template<typename Derived >

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

inherited

◆ ConstTransposeReturnType

template<typename Derived >

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

inherited

◆ Eigen_BaseClassForSpecializationOfGlobalMathFuncImpl

typedef ArrayBase Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::Eigen_BaseClassForSpecializationOfGlobalMathFuncImpl

inherited

◆ EigenvaluesReturnType

template<typename Derived >

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

inherited

◆ EvalReturnType

template<typename Derived >

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

inherited

◆ InnerIterator

template<typename Derived >

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

inherited

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

See also: class InnerIterator

◆ NestedExpression

template<typename ExpressionType >

typedef internal::remove_all<ExpressionType>::type Eigen::ArrayWrapper< ExpressionType >::NestedExpression

◆ NestedExpressionType

template<typename ExpressionType >

typedef internal::ref_selector<ExpressionType>::non_const_type Eigen::ArrayWrapper< ExpressionType >::NestedExpressionType

◆ PacketScalar

typedef internal::packet_traits<Scalar>::type Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::PacketScalar

inherited

◆ PlainArray

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

inherited

The plain array type corresponding to this expression.

See also: PlainObject

◆ PlainMatrix

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

inherited

The plain matrix type corresponding to this expression.

See also: PlainObject

◆ PlainObject

typedef Base::PlainObject Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::PlainObject

inherited

◆ RandomAccessLinSpacedReturnType

template<typename Derived >

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

inherited

◆ RandomReturnType

template<typename Derived >

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

inherited

◆ RealScalar

typedef NumTraits<Scalar>::Real Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::RealScalar

inherited

◆ ReverseReturnType

template<typename Derived >

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

inherited

◆ RowwiseReturnType

template<typename Derived >

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

inherited

◆ Scalar

typedef internal::traits<ArrayWrapper< ExpressionType > >::Scalar Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::Scalar

inherited

◆ ScalarWithConstIfNotLvalue

template<typename ExpressionType >

typedef internal::conditional<internal::is_lvalue<ExpressionType>::value,Scalar,constScalar>::type Eigen::ArrayWrapper< ExpressionType >::ScalarWithConstIfNotLvalue

◆ SequentialLinSpacedReturnType

template<typename Derived >

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

inherited

◆ StorageBaseType

typedef ArrayBase Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::StorageBaseType

inherited

The base class for a given storage type.

◆ StorageIndex

template<typename Derived >

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

inherited

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: \blank TopicPreprocessorDirectives, Eigen::Index, SparseMatrixBase.

◆ StorageKind

typedef internal::traits<ArrayWrapper< ExpressionType > >::StorageKind Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::StorageKind

inherited

◆ TransposeReturnType

template<typename Derived >

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

inherited

◆ value_type

template<typename Derived >

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

inherited

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

Member Enumeration Documentation

◆ anonymous enum

template<typename Derived >

anonymous enum

inherited

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

         {
 
      RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime,
      ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime,
      SizeAtCompileTime = (internal::size_at_compile_time<internal::traits<Derived>::RowsAtCompileTime,
                                                   internal::traits<Derived>::ColsAtCompileTime>::ret),
      MaxRowsAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime,
      MaxColsAtCompileTime = internal::traits<Derived>::MaxColsAtCompileTime,
      MaxSizeAtCompileTime = (internal::size_at_compile_time<internal::traits<Derived>::MaxRowsAtCompileTime,
                                                      internal::traits<Derived>::MaxColsAtCompileTime>::ret),
      IsVectorAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime == 1
                           || internal::traits<Derived>::MaxColsAtCompileTime == 1,
      Flags = internal::traits<Derived>::Flags,
      IsRowMajor = int(Flags) & RowMajorBit, 
      InnerSizeAtCompileTime = int(IsVectorAtCompileTime) ? int(SizeAtCompileTime)
                             : int(IsRowMajor) ? int(ColsAtCompileTime) : int(RowsAtCompileTime),
 
      InnerStrideAtCompileTime = internal::inner_stride_at_compile_time<Derived>::ret,
      OuterStrideAtCompileTime = internal::outer_stride_at_compile_time<Derived>::ret
    };

◆ anonymous enum

template<typename Derived >

anonymous enum

inherited

Enumerator
IsPlainObjectBase

176{ IsPlainObjectBase = 0 };

Eigen::DenseBase::IsPlainObjectBase

@ IsPlainObjectBase

Definition DenseBase.h:176

Constructor & Destructor Documentation

◆ ArrayWrapper()

template<typename ExpressionType >

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Eigen::ArrayWrapper< ExpressionType >::ArrayWrapper ( ExpressionType & matrix )

inlineexplicit

61: m_expression(matrix) {}

Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::matrix

EIGEN_DEVICE_FUNC MatrixWrapper< ArrayWrapper< ExpressionType > > matrix()

Definition ArrayBase.h:148

Eigen::ArrayWrapper::m_expression

NestedExpressionType m_expression

Definition ArrayWrapper.h:110

Member Function Documentation

◆ all()

template<typename Derived >

bool Eigen::DenseBase< Derived >::all

inlineinherited

Returns: true if all coefficients are true

Example:

Output:

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

{
  typedef internal::evaluator<Derived> Evaluator;
  enum {
    unroll = SizeAtCompileTime != Dynamic
          && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
  };
  Evaluator evaluator(derived());
  if(unroll)
    return internal::all_unroller<Evaluator, unroll ? int(SizeAtCompileTime) : Dynamic>::run(evaluator);
  else
  {
    for(Index j = 0; j < cols(); ++j)
      for(Index i = 0; i < rows(); ++i)
        if (!evaluator.coeff(i, j)) return false;
    return true;
  }
}

References Eigen::Dynamic, and EIGEN_UNROLLING_LIMIT.

◆ allFinite()

template<typename Derived >

bool Eigen::DenseBase< Derived >::allFinite

inlineinherited

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

See also: hasNaN()

{
#if EIGEN_COMP_MSVC || (defined __FAST_MATH__)
  return derived().array().isFinite().all();
#else
  return !((derived()-derived()).hasNaN());
#endif
}

◆ any()

template<typename Derived >

bool Eigen::DenseBase< Derived >::any

inlineinherited

Returns: true if at least one coefficient is true

See also: all()

{
  typedef internal::evaluator<Derived> Evaluator;
  enum {
    unroll = SizeAtCompileTime != Dynamic
          && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
  };
  Evaluator evaluator(derived());
  if(unroll)
    return internal::any_unroller<Evaluator, unroll ? int(SizeAtCompileTime) : Dynamic>::run(evaluator);
  else
  {
    for(Index j = 0; j < cols(); ++j)
      for(Index i = 0; i < rows(); ++i)
        if (evaluator.coeff(i, j)) return true;
    return false;
  }
}

References Eigen::Dynamic, and EIGEN_UNROLLING_LIMIT.

◆ array() [1/2]

EIGEN_DEVICE_FUNC ArrayBase< ArrayWrapper< ExpressionType > > & Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::array ( )

inlineinherited

141{ return *this; }

◆ array() [2/2]

EIGEN_DEVICE_FUNC const ArrayBase< ArrayWrapper< ExpressionType > > & Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::array ( ) const

inlineinherited

143{ return *this; }

◆ coeffRef() [1/2]

template<typename ExpressionType >

EIGEN_DEVICE_FUNC const Scalar & Eigen::ArrayWrapper< ExpressionType >::coeffRef ( Index index ) const

inline

    {
      return m_expression.coeffRef(index);
    }

References Eigen::ArrayWrapper< ExpressionType >::m_expression.

◆ coeffRef() [2/2]

template<typename ExpressionType >

EIGEN_DEVICE_FUNC const Scalar & Eigen::ArrayWrapper< ExpressionType >::coeffRef	(	Index	rowId,
		Index	colId
	)		const

inline

    {
      return m_expression.coeffRef(rowId, colId);
    }

References Eigen::ArrayWrapper< ExpressionType >::m_expression.

◆ cols()

template<typename ExpressionType >

EIGEN_DEVICE_FUNC Index Eigen::ArrayWrapper< ExpressionType >::cols ( ) const

inline

66{ return m_expression.cols(); }

References Eigen::ArrayWrapper< ExpressionType >::m_expression.

Referenced by Eigen::ArrayWrapper< ExpressionType >::resize().

Here is the caller graph for this function:

◆ colwise() [1/2]

template<typename Derived >

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

inlineinherited

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

See also: rowwise(), class VectorwiseOp, TutorialReductionsVisitorsBroadcasting

{
  return ColwiseReturnType(derived());
}

◆ colwise() [2/2]

template<typename Derived >

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

inlineinherited

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

Example:

Output:

See also: rowwise(), class VectorwiseOp, TutorialReductionsVisitorsBroadcasting

                                                                    {
      return ConstColwiseReturnType(derived());
    }

Referenced by igl::bounding_box(), igl::copyleft::offset_surface(), and Eigen::umeyama().

Here is the caller graph for this function:

◆ Constant() [1/3]

template<typename Derived >

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

staticinherited

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

{
  EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived)
  return DenseBase<Derived>::NullaryExpr(RowsAtCompileTime, ColsAtCompileTime, internal::scalar_constant_op<Scalar>(value));
}

References EIGEN_STATIC_ASSERT_FIXED_SIZE, and Eigen::DenseBase< Derived >::NullaryExpr().

Here is the call graph for this function:

◆ Constant() [2/3]

template<typename Derived >

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

staticinherited

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

{
  return DenseBase<Derived>::NullaryExpr(rows, cols, internal::scalar_constant_op<Scalar>(value));
}

References Eigen::DenseBase< Derived >::NullaryExpr().

Here is the call graph for this function:

◆ Constant() [3/3]

template<typename Derived >

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

staticinherited

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.

\only_for_vectors

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

{
  return DenseBase<Derived>::NullaryExpr(size, internal::scalar_constant_op<Scalar>(value));
}

References Eigen::DenseBase< Derived >::NullaryExpr().

Here is the call graph for this function:

◆ count()

template<typename Derived >

Eigen::Index Eigen::DenseBase< Derived >::count

inlineinherited

Returns: the number of coefficients which evaluate to true

See also: all(), any()

{
  return derived().template cast<bool>().template cast<Index>().sum();
}

◆ data() [1/2]

template<typename ExpressionType >

EIGEN_DEVICE_FUNC ScalarWithConstIfNotLvalue * Eigen::ArrayWrapper< ExpressionType >::data ( )

inline

73{ return m_expression.data(); }

References Eigen::ArrayWrapper< ExpressionType >::m_expression.

◆ data() [2/2]

template<typename ExpressionType >

EIGEN_DEVICE_FUNC const Scalar * Eigen::ArrayWrapper< ExpressionType >::data ( ) const

inline

75{ return m_expression.data(); }

References Eigen::ArrayWrapper< ExpressionType >::m_expression.

◆ eval()

template<typename Derived >

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

inlineinherited

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 .

    {
      // Even though MSVC does not honor strong inlining when the return type
      // is a dynamic matrix, we desperately need strong inlining for fixed
      // size types on MSVC.
      return typename internal::eval<Derived>::type(derived());
    }

◆ evalTo()

template<typename ExpressionType >

template<typename Dest >

EIGEN_DEVICE_FUNC void Eigen::ArrayWrapper< ExpressionType >::evalTo ( Dest & dst ) const

inline

91{ dst = m_expression; }

References Eigen::ArrayWrapper< ExpressionType >::m_expression.

◆ fill()

template<typename Derived >

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

inherited

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

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

{
  setConstant(val);
}

◆ flagged()

template<typename Derived >

template<unsigned int Added, unsigned int Removed>

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

inlineinherited

313 { return derived(); }

◆ forceAlignedAccess() [1/2]

template<typename Derived >

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

inlineinherited

◆ forceAlignedAccess() [2/2]

template<typename Derived >

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

inlineinherited

◆ forceAlignedAccessIf() [1/2]

template<typename Derived >

template<bool Enable>

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

inlineinherited

◆ forceAlignedAccessIf() [2/2]

template<typename Derived >

template<bool Enable>

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

inlineinherited

◆ format()

template<typename Derived >

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

inlineinherited

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

    {
      return WithFormat<Derived>(derived(), fmt);
    }

Referenced by igl::matlab_format(), and igl::writeOBJ().

Here is the caller graph for this function:

◆ hasNaN()

template<typename Derived >

bool Eigen::DenseBase< Derived >::hasNaN

inlineinherited

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

See also: allFinite()

{
#if EIGEN_COMP_MSVC || (defined __FAST_MATH__)
  return derived().array().isNaN().any();
#else
  return !((derived().array()==derived().array()).all());
#endif
}

◆ innerSize()

template<typename Derived >

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

inlineinherited

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.

    {
      return IsVectorAtCompileTime ? this->size()
           : int(IsRowMajor) ? this->cols() : this->rows();
    }

References Eigen::DenseBase< Derived >::IsRowMajor, and Eigen::DenseBase< Derived >::IsVectorAtCompileTime.

◆ innerStride()

template<typename ExpressionType >

EIGEN_DEVICE_FUNC Index Eigen::ArrayWrapper< ExpressionType >::innerStride ( ) const

inline

70{ return m_expression.innerStride(); }

References Eigen::ArrayWrapper< ExpressionType >::m_expression.

◆ isApprox() [1/2]

template<typename Derived >

template<typename OtherDerived >

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

inherited

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

{
  return internal::isApprox_selector<Derived, OtherDerived>::run(derived(), other.derived(), prec);
}

References Eigen::internal::isApprox_selector< Derived, OtherDerived, is_integer >::run().

Here is the call graph for this function:

◆ isApprox() [2/2]

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

inherited

◆ isApproxToConstant()

template<typename Derived >

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

inherited

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

{
  typename internal::nested_eval<Derived,1>::type self(derived());
  for(Index j = 0; j < cols(); ++j)
    for(Index i = 0; i < rows(); ++i)
      if(!internal::isApprox(self.coeff(i, j), val, prec))
        return false;
  return true;
}

References Eigen::internal::isApprox().

Here is the call graph for this function:

◆ isConstant()

template<typename Derived >

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

inherited

This is just an alias for isApproxToConstant().

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

{
  return isApproxToConstant(val, prec);
}

◆ isMuchSmallerThan() [1/4]

template<typename Derived >

template<typename OtherDerived >

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

inherited

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

{
  return internal::isMuchSmallerThan_object_selector<Derived, OtherDerived>::run(derived(), other.derived(), prec);
}

References Eigen::internal::isMuchSmallerThan_object_selector< Derived, OtherDerived, is_integer >::run().

Here is the call graph for this function:

◆ isMuchSmallerThan() [2/4]

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

inherited

◆ isMuchSmallerThan() [3/4]

template<typename Derived >

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

inherited

◆ isMuchSmallerThan() [4/4]

template<typename Derived >

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

inherited

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

{
  return internal::isMuchSmallerThan_scalar_selector<Derived>::run(derived(), other, prec);
}

References Eigen::internal::isMuchSmallerThan_scalar_selector< Derived, is_integer >::run().

Here is the call graph for this function:

◆ isOnes()

template<typename Derived >

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

inherited

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

Example:

Output:

See also: class CwiseNullaryOp, Ones()

{
  return isApproxToConstant(Scalar(1), prec);
}

◆ isZero()

template<typename Derived >

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

inherited

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

Example:

Output:

See also: class CwiseNullaryOp, Zero()

{
  typename internal::nested_eval<Derived,1>::type self(derived());
  for(Index j = 0; j < cols(); ++j)
    for(Index i = 0; i < rows(); ++i)
      if(!internal::isMuchSmallerThan(self.coeff(i, j), static_cast<Scalar>(1), prec))
        return false;
  return true;
}

References Eigen::internal::isMuchSmallerThan().

Here is the call graph for this function:

◆ lazyAssign() [1/2]

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

inherited

◆ lazyAssign() [2/2]

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

inherited

{
  enum{
    SameType = internal::is_same<typename Derived::Scalar,typename OtherDerived::Scalar>::value
  };
 
  EIGEN_STATIC_ASSERT_LVALUE(Derived)
  EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Derived,OtherDerived)
  EIGEN_STATIC_ASSERT(SameType,YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
 
  eigen_assert(rows() == other.rows() && cols() == other.cols());
  internal::call_assignment_no_alias(derived(),other.derived());
  
  return derived();
}

◆ LinSpaced() [1/4]

template<typename Derived >

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

staticinherited

Special version for fixed size types which does not require the size parameter.

{
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
  EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived)
  return DenseBase<Derived>::NullaryExpr(Derived::SizeAtCompileTime, internal::linspaced_op<Scalar,PacketScalar>(low,high,Derived::SizeAtCompileTime));
}

References EIGEN_STATIC_ASSERT_FIXED_SIZE, EIGEN_STATIC_ASSERT_VECTOR_ONLY, and Eigen::DenseBase< Derived >::NullaryExpr().

Here is the call graph for this function:

◆ LinSpaced() [2/4]

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
	)

staticinherited

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.

\only_for_vectors

Example:

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:

Output:

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

{
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
  return DenseBase<Derived>::NullaryExpr(size, internal::linspaced_op<Scalar,PacketScalar>(low,high,size));
}

◆ LinSpaced() [3/4]

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
	)

staticinherited

See also: LinSpaced(Scalar,Scalar)

{
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
  EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived)
  return DenseBase<Derived>::NullaryExpr(Derived::SizeAtCompileTime, internal::linspaced_op<Scalar,PacketScalar>(low,high,Derived::SizeAtCompileTime));
}

References EIGEN_STATIC_ASSERT_FIXED_SIZE, EIGEN_STATIC_ASSERT_VECTOR_ONLY, and Eigen::DenseBase< Derived >::NullaryExpr().

Here is the call graph for this function:

◆ LinSpaced() [4/4]

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
	)

staticinherited

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

{
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
  return DenseBase<Derived>::NullaryExpr(size, internal::linspaced_op<Scalar,PacketScalar>(low,high,size));
}

References EIGEN_STATIC_ASSERT_VECTOR_ONLY, and Eigen::DenseBase< Derived >::NullaryExpr().

Here is the call graph for this function:

◆ lpNorm()

template<typename Derived >

template<int p>

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

inherited

◆ matrix() [1/2]

EIGEN_DEVICE_FUNC MatrixWrapper< ArrayWrapper< ExpressionType > > Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::matrix ( )

inlineinherited

Returns: an Matrix expression of this array

See also: MatrixBase::array()

148{ return MatrixWrapper<Derived>(derived()); }

◆ matrix() [2/2]

EIGEN_DEVICE_FUNC const MatrixWrapper< const ArrayWrapper< ExpressionType > > Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::matrix ( ) const

inlineinherited

150{ return MatrixWrapper<const Derived>(derived()); }

◆ maxCoeff() [1/3]

template<typename Derived >

EIGEN_STRONG_INLINE internal::traits< Derived >::Scalar Eigen::DenseBase< Derived >::maxCoeff

inherited

Returns: the maximum of all coefficients of *this.

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

{
  return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
}

Referenced by igl::copyleft::cgal::half_space_box(), igl::isolines(), igl::min_quad_with_fixed_precompute(), igl::octree(), Eigen::internal::lpNorm_selector< Derived, Infinity >::run(), and igl::slice().

Here is the caller graph for this function:

◆ maxCoeff() [2/3]

template<typename Derived >

template<typename IndexType >

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

inherited

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()

{
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
  internal::max_coeff_visitor<Derived> maxVisitor;
  this->visit(maxVisitor);
  *index = (RowsAtCompileTime==1) ? maxVisitor.col : maxVisitor.row;
  return maxVisitor.res;
}

References Eigen::internal::coeff_visitor< Derived >::col, EIGEN_STATIC_ASSERT_VECTOR_ONLY, Eigen::internal::coeff_visitor< Derived >::res, and Eigen::internal::coeff_visitor< Derived >::row.

◆ maxCoeff() [3/3]

template<typename Derived >

template<typename IndexType >

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

inherited

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()

{
  internal::max_coeff_visitor<Derived> maxVisitor;
  this->visit(maxVisitor);
  *rowPtr = maxVisitor.row;
  if (colPtr) *colPtr = maxVisitor.col;
  return maxVisitor.res;
}

References Eigen::internal::coeff_visitor< Derived >::col, Eigen::internal::coeff_visitor< Derived >::res, and Eigen::internal::coeff_visitor< Derived >::row.

◆ mean()

template<typename Derived >

EIGEN_STRONG_INLINE internal::traits< Derived >::Scalar Eigen::DenseBase< Derived >::mean

inherited

Returns: the mean of all coefficients of *this

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

{
#ifdef __INTEL_COMPILER
  #pragma warning push
  #pragma warning ( disable : 2259 )
#endif
  return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
#ifdef __INTEL_COMPILER
  #pragma warning pop
#endif
}

◆ minCoeff() [1/3]

template<typename Derived >

EIGEN_STRONG_INLINE internal::traits< Derived >::Scalar Eigen::DenseBase< Derived >::minCoeff

inherited

Returns: the minimum of all coefficients of *this.

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

{
  return derived().redux(Eigen::internal::scalar_min_op<Scalar,Scalar>());
}

Referenced by igl::copyleft::cgal::half_space_box(), igl::isolines(), igl::min_quad_with_fixed_precompute(), igl::octree(), and igl::slice().

Here is the caller graph for this function:

◆ minCoeff() [2/3]

template<typename Derived >

template<typename IndexType >

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

inherited

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()

{
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
  internal::min_coeff_visitor<Derived> minVisitor;
  this->visit(minVisitor);
  *index = IndexType((RowsAtCompileTime==1) ? minVisitor.col : minVisitor.row);
  return minVisitor.res;
}

References Eigen::internal::coeff_visitor< Derived >::col, EIGEN_STATIC_ASSERT_VECTOR_ONLY, Eigen::internal::coeff_visitor< Derived >::res, and Eigen::internal::coeff_visitor< Derived >::row.

◆ minCoeff() [3/3]

template<typename Derived >

template<typename IndexType >

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

inherited

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()

{
  internal::min_coeff_visitor<Derived> minVisitor;
  this->visit(minVisitor);
  *rowId = minVisitor.row;
  if (colId) *colId = minVisitor.col;
  return minVisitor.res;
}

References Eigen::internal::coeff_visitor< Derived >::col, Eigen::internal::coeff_visitor< Derived >::res, and Eigen::internal::coeff_visitor< Derived >::row.

◆ nestByValue()

template<typename Derived >

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

inlineinherited

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

{
  return NestByValue<Derived>(derived());
}

◆ nestedExpression()

template<typename ExpressionType >

const internal::remove_all< NestedExpressionType >::type &EIGEN_DEVICE_FUNC Eigen::ArrayWrapper< ExpressionType >::nestedExpression ( ) const

inline

    {
      return m_expression;
    }

References Eigen::ArrayWrapper< ExpressionType >::m_expression.

◆ nonZeros()

template<typename Derived >

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

inlineinherited

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

210{ return size(); }

◆ NullaryExpr() [1/6]

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 )

inherited

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

{
  return CwiseNullaryOp<CustomNullaryOp, PlainObject>(RowsAtCompileTime, ColsAtCompileTime, func);
}

◆ NullaryExpr() [2/6]

template<typename Derived >

template<typename CustomNullaryOp >

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

staticinherited

◆ NullaryExpr() [3/6]

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
	)

inherited

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

{
  return CwiseNullaryOp<CustomNullaryOp, PlainObject>(rows, cols, func);
}

◆ NullaryExpr() [4/6]

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
	)

staticinherited

Referenced by Eigen::DenseBase< Derived >::Constant(), Eigen::DenseBase< Derived >::Constant(), Eigen::DenseBase< Derived >::Constant(), Eigen::MatrixBase< Derived >::Identity(), Eigen::MatrixBase< Derived >::Identity(), Eigen::DenseBase< Derived >::LinSpaced(), Eigen::DenseBase< Derived >::LinSpaced(), and Eigen::DenseBase< Derived >::LinSpaced().

Here is the caller graph for this function:

◆ NullaryExpr() [5/6]

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
	)

inherited

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.

\only_for_vectors

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:

Output:

See also: class CwiseNullaryOp

{
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
  if(RowsAtCompileTime == 1) return CwiseNullaryOp<CustomNullaryOp, PlainObject>(1, size, func);
  else return CwiseNullaryOp<CustomNullaryOp, PlainObject>(size, 1, func);
}

References EIGEN_STATIC_ASSERT_VECTOR_ONLY.

◆ NullaryExpr() [6/6]

template<typename Derived >

template<typename CustomNullaryOp >

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

staticinherited

◆ Ones() [1/3]

template<typename Derived >

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

staticinherited

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:

Output:

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

{
  return Constant(Scalar(1));
}

◆ Ones() [2/3]

template<typename Derived >

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

staticinherited

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:

Output:

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

{
  return Constant(rows, cols, Scalar(1));
}

◆ Ones() [3/3]

template<typename Derived >

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

staticinherited

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.

\only_for_vectors

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:

Output:

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

{
  return Constant(newSize, Scalar(1));
}

◆ operator*=() [1/2]

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ArrayWrapper< ExpressionType > & Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::operator*= ( const ArrayBase< OtherDerived > & other )

inherited

replaces *this by *this * other coefficient wise.

Returns: a reference to *this

{
  call_assignment(derived(), other.derived(), internal::mul_assign_op<Scalar,typename OtherDerived::Scalar>());
  return derived();
}

◆ operator*=() [2/2]

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

inherited

{
  internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
  return derived();
}

◆ operator+=() [1/4]

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ArrayWrapper< ExpressionType > & Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::operator+= ( const ArrayBase< OtherDerived > & other )

inherited

replaces *this by *this + other.

Returns: a reference to *this

{
  call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
  return derived();
}

◆ operator+=() [2/4]

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

inherited

{
  call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
  return derived();
}

◆ operator+=() [3/4]

ArrayWrapper< ExpressionType > & Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::operator+= ( const MatrixBase< OtherDerived > & )

inlineprotectedinherited

166 {EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}

◆ operator+=() [4/4]

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ArrayWrapper< ExpressionType > & Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::operator+= ( const Scalar & scalar )

inherited

{
  internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
  return derived();
}

◆ operator-=() [1/4]

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ArrayWrapper< ExpressionType > & Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::operator-= ( const ArrayBase< OtherDerived > & other )

inherited

replaces *this by *this - other.

Returns: a reference to *this

{
  call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
  return derived();
}

◆ operator-=() [2/4]

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

inherited

{
  call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
  return derived();
}

◆ operator-=() [3/4]

ArrayWrapper< ExpressionType > & Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::operator-= ( const MatrixBase< OtherDerived > & )

inlineprotectedinherited

169 {EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}

◆ operator-=() [4/4]

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ArrayWrapper< ExpressionType > & Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::operator-= ( const Scalar & scalar )

inherited

{
  internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::sub_assign_op<Scalar,Scalar>());
  return derived();
}

◆ operator/=() [1/2]

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ArrayWrapper< ExpressionType > & Eigen::ArrayBase< ArrayWrapper< ExpressionType > >::operator/= ( const ArrayBase< OtherDerived > & other )

inherited

replaces *this by *this / other coefficient wise.

Returns: a reference to *this

{
  call_assignment(derived(), other.derived(), internal::div_assign_op<Scalar,typename OtherDerived::Scalar>());
  return derived();
}

◆ operator/=() [2/2]

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

inherited

{
  internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
  return derived();
}

◆ operator<<() [1/3]

template<typename Derived >

template<typename OtherDerived >

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

inlineinherited

See also: operator<<(const Scalar&)

{
  return CommaInitializer<Derived>(*static_cast<Derived *>(this), other);
}

◆ operator<<() [2/3]

template<typename Derived >

template<typename OtherDerived >

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

inherited

◆ operator<<() [3/3]

template<typename Derived >

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

inlineinherited

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:

Output:

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

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

{
  return CommaInitializer<Derived>(*static_cast<Derived*>(this), s);
}

◆ outerSize()

template<typename Derived >

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

inlineinherited

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.

    {
      return IsVectorAtCompileTime ? 1
           : int(IsRowMajor) ? this->rows() : this->cols();
    }

References Eigen::DenseBase< Derived >::IsRowMajor, and Eigen::DenseBase< Derived >::IsVectorAtCompileTime.

◆ outerStride()

template<typename ExpressionType >

EIGEN_DEVICE_FUNC Index Eigen::ArrayWrapper< ExpressionType >::outerStride ( ) const

inline

68{ return m_expression.outerStride(); }

References Eigen::ArrayWrapper< ExpressionType >::m_expression.

◆ prod()

template<typename Derived >

EIGEN_STRONG_INLINE internal::traits< Derived >::Scalar Eigen::DenseBase< Derived >::prod

inherited

Returns: the product of all coefficients of *this

Example:

Output:

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

{
  if(SizeAtCompileTime==0 || (SizeAtCompileTime==Dynamic && size()==0))
    return Scalar(1);
  return derived().redux(Eigen::internal::scalar_product_op<Scalar>());
}

References Eigen::Dynamic.

◆ Random() [1/3]

template<typename Derived >

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

inlinestaticinherited

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:

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.

\not_reentrant

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

{
  return NullaryExpr(RowsAtCompileTime, ColsAtCompileTime, internal::scalar_random_op<Scalar>());
}

◆ Random() [2/3]

template<typename Derived >

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

inlinestaticinherited

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.

\not_reentrant

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:

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()

{
  return NullaryExpr(rows, cols, internal::scalar_random_op<Scalar>());
}

◆ Random() [3/3]

template<typename Derived >

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

inlinestaticinherited

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.

\only_for_vectors \not_reentrant

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:

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()

{
  return NullaryExpr(size, internal::scalar_random_op<Scalar>());
}

◆ redux() [1/2]

template<typename Derived >

template<typename BinaryOp >

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

inherited

Referenced by Eigen::internal::member_redux< BinaryOp, Scalar >::operator()().

Here is the caller graph for this function:

◆ redux() [2/2]

template<typename Derived >

template<typename Func >

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

inherited

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()

{
  eigen_assert(this->rows()>0 && this->cols()>0 && "you are using an empty matrix");
 
  typedef typename internal::redux_evaluator<Derived> ThisEvaluator;
  ThisEvaluator thisEval(derived());
  
  return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
}

References eigen_assert.

◆ replicate() [1/3]

template<typename Derived >

template<int RowFactor, int ColFactor>

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

inherited

Referenced by igl::min_quad_with_fixed_solve().

Here is the caller graph for this function:

◆ replicate() [2/3]

template<typename Derived >

template<int RowFactor, int ColFactor>

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

inherited

Returns: an expression of the replication of *this

Example:

Output:

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

{
  return Replicate<Derived,RowFactor,ColFactor>(derived());
}

◆ replicate() [3/3]

template<typename Derived >

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

inlineinherited

Returns: an expression of the replication of *this

Example:

Output:

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

    {
      return Replicate<Derived, Dynamic, Dynamic>(derived(), rowFactor, colFactor);
    }

◆ resize() [1/2]

template<typename ExpressionType >

EIGEN_DEVICE_FUNC void Eigen::ArrayWrapper< ExpressionType >::resize ( Index newSize )

inline

Forwards the resizing request to the nested expression

See also: DenseBase::resize(Index)

103{ m_expression.resize(newSize); }

References Eigen::ArrayWrapper< ExpressionType >::m_expression.

◆ resize() [2/2]

template<typename ExpressionType >

EIGEN_DEVICE_FUNC void Eigen::ArrayWrapper< ExpressionType >::resize	(	Index	rows,
		Index	cols
	)

inline

Forwards the resizing request to the nested expression

See also: DenseBase::resize(Index,Index)

107{ m_expression.resize(rows,cols); }

Eigen::ArrayWrapper::cols

EIGEN_DEVICE_FUNC Index cols() const

Definition ArrayWrapper.h:66

Eigen::ArrayWrapper::rows

EIGEN_DEVICE_FUNC Index rows() const

Definition ArrayWrapper.h:64

References Eigen::ArrayWrapper< ExpressionType >::cols(), Eigen::ArrayWrapper< ExpressionType >::m_expression, and Eigen::ArrayWrapper< ExpressionType >::rows().

Here is the call graph for this function:

◆ reverse() [1/2]

template<typename Derived >

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

inlineinherited

Returns: an expression of the reverse of *this.

Example:

Output:

{
  return ReverseReturnType(derived());
}

◆ reverse() [2/2]

template<typename Derived >

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

inlineinherited

This is the const version of reverse().

    {
      return ConstReverseReturnType(derived());
    }

◆ reverseInPlace()

template<typename Derived >

void Eigen::DenseBase< Derived >::reverseInPlace

inlineinherited

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()

{
  if(cols()>rows())
  {
    Index half = cols()/2;
    leftCols(half).swap(rightCols(half).reverse());
    if((cols()%2)==1)
    {
      Index half2 = rows()/2;
      col(half).head(half2).swap(col(half).tail(half2).reverse());
    }
  }
  else
  {
    Index half = rows()/2;
    topRows(half).swap(bottomRows(half).reverse());
    if((rows()%2)==1)
    {
      Index half2 = cols()/2;
      row(half).head(half2).swap(row(half).tail(half2).reverse());
    }
  }
}

References bottomRows(), col(), leftCols(), rightCols(), row(), tail(), and topRows().

Here is the call graph for this function:

◆ rows()

template<typename ExpressionType >

EIGEN_DEVICE_FUNC Index Eigen::ArrayWrapper< ExpressionType >::rows ( ) const

inline

64{ return m_expression.rows(); }

References Eigen::ArrayWrapper< ExpressionType >::m_expression.

Referenced by Eigen::ArrayWrapper< ExpressionType >::resize().

Here is the caller graph for this function:

◆ rowwise() [1/2]

template<typename Derived >

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

inlineinherited

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

See also: colwise(), class VectorwiseOp, TutorialReductionsVisitorsBroadcasting

{
  return RowwiseReturnType(derived());
}

◆ rowwise() [2/2]

template<typename Derived >

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

inlineinherited

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

Example:

Output:

See also: colwise(), class VectorwiseOp, TutorialReductionsVisitorsBroadcasting

                                                                    {
      return ConstRowwiseReturnType(derived());
    }

Referenced by igl::normalize_row_sums(), and Eigen::umeyama().

Here is the caller graph for this function:

◆ select() [1/3]

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

inlineinherited

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

Example:

Output:

See also: class Select

{
  return Select<Derived,ThenDerived,ElseDerived>(derived(), thenMatrix.derived(), elseMatrix.derived());
}

◆ select() [2/3]

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

inlineinherited

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

{
  return Select<Derived,ThenDerived,typename ThenDerived::ConstantReturnType>(
    derived(), thenMatrix.derived(), ThenDerived::Constant(rows(),cols(),elseScalar));
}

◆ select() [3/3]

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

inlineinherited

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

{
  return Select<Derived,typename ElseDerived::ConstantReturnType,ElseDerived>(
    derived(), ElseDerived::Constant(rows(),cols(),thenScalar), elseMatrix.derived());
}

◆ setConstant()

template<typename Derived >

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

inherited

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()

{
  return derived() = Constant(rows(), cols(), val);
}

Referenced by Eigen::ArrayBase< Derived >::operator=().

Here is the caller graph for this function:

◆ setLinSpaced() [1/2]

template<typename Derived >

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

inherited

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.

\only_for_vectors

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

{
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
  return setLinSpaced(size(), low, high);
}

References EIGEN_STATIC_ASSERT_VECTOR_ONLY.

◆ setLinSpaced() [2/2]

template<typename Derived >

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

inherited

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.

\only_for_vectors

Example:

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

{
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
  return derived() = Derived::NullaryExpr(newSize, internal::linspaced_op<Scalar,PacketScalar>(low,high,newSize));
}

References EIGEN_STATIC_ASSERT_VECTOR_ONLY.

◆ setOnes()

template<typename Derived >

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

inherited

Sets all coefficients in this expression to one.

Example:

Output:

See also: class CwiseNullaryOp, Ones()

{
  return setConstant(Scalar(1));
}

◆ setRandom()

template<typename Derived >

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

inlineinherited

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.

\not_reentrant

Example:

Output:

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

{
  return *this = Random(rows(), cols());
}

◆ setZero()

template<typename Derived >

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

inherited

Sets all coefficients in this expression to zero.

Example:

Output:

See also: class CwiseNullaryOp, Zero()

{
  return setConstant(Scalar(0));
}

Referenced by Eigen::SPQR< _MatrixType >::_solve_impl(), Eigen::PermutationBase< Derived >::evalTo(), and Eigen::InverseImpl< PermutationType, PermutationStorage >::evalTo().

Here is the caller graph for this function:

◆ sum()

template<typename Derived >

EIGEN_STRONG_INLINE internal::traits< Derived >::Scalar Eigen::DenseBase< Derived >::sum

inherited

Returns: the sum of all coefficients of *this

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

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

{
  if(SizeAtCompileTime==0 || (SizeAtCompileTime==Dynamic && size()==0))
    return Scalar(0);
  return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
}

References Eigen::Dynamic.

Referenced by igl::normalize_row_sums(), and Eigen::internal::lpNorm_selector< Derived, 1 >::run().

Here is the caller graph for this function:

◆ swap() [1/2]

template<typename Derived >

template<typename OtherDerived >

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

inlineinherited

swaps *this with the expression other.

    {
      EIGEN_STATIC_ASSERT(!OtherDerived::IsPlainObjectBase,THIS_EXPRESSION_IS_NOT_A_LVALUE__IT_IS_READ_ONLY);
      eigen_assert(rows()==other.rows() && cols()==other.cols());
      call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
    }

References eigen_assert, and EIGEN_STATIC_ASSERT.

Referenced by Eigen::internal::conservative_resize_like_impl< Derived, OtherDerived, IsVector >::run(), and Eigen::internal::conservative_resize_like_impl< Derived, OtherDerived, IsVector >::run().

Here is the caller graph for this function:

◆ swap() [2/2]

template<typename Derived >

template<typename OtherDerived >

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

inlineinherited

swaps *this with the matrix or array other.

    {
      eigen_assert(rows()==other.rows() && cols()==other.cols());
      call_assignment(derived(), other.derived(), internal::swap_assign_op<Scalar>());
    }

References Eigen::PlainObjectBase< Derived >::cols(), eigen_assert, and Eigen::PlainObjectBase< Derived >::rows().

Here is the call graph for this function:

◆ trace()

template<typename Derived >

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

inherited

◆ transpose() [1/2]

template<typename Derived >

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

inlineinherited

Returns: an expression of the transpose of *this.

Example:

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()

{
  return TransposeReturnType(derived());
}

Referenced by igl::AABB< DerivedV, DIM >::find(), igl::AABB< DerivedV, DIM >::init(), igl::project(), igl::signed_distance_winding_number(), and igl::unproject().

Here is the caller graph for this function:

◆ transpose() [2/2]

template<typename Derived >

DenseBase< Derived >::ConstTransposeReturnType Eigen::DenseBase< Derived >::transpose

inlineinherited

This is the const version of transpose().

Make sure you read the warning for transpose() !

See also: transposeInPlace(), adjoint()

{
  return ConstTransposeReturnType(derived());
}

◆ transposeInPlace()

template<typename Derived >

void Eigen::DenseBase< Derived >::transposeInPlace

inlineinherited

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()

{
  eigen_assert((rows() == cols() || (RowsAtCompileTime == Dynamic && ColsAtCompileTime == Dynamic))
               && "transposeInPlace() called on a non-square non-resizable matrix");
  internal::inplace_transpose_selector<Derived>::run(derived());
}

References Eigen::Dynamic, and eigen_assert.

◆ value()

template<typename Derived >

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

inlineinherited

Returns: the unique coefficient of a 1x1 expression

    {
      EIGEN_STATIC_ASSERT_SIZE_1x1(Derived)
      eigen_assert(this->rows() == 1 && this->cols() == 1);
      return derived().coeff(0,0);
    }

References eigen_assert, and EIGEN_STATIC_ASSERT_SIZE_1x1.

Referenced by igl::find(), and Eigen::ArrayBase< Derived >::operator=().

Here is the caller graph for this function:

◆ visit()

template<typename Derived >

template<typename Visitor >

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

inherited

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()

{
  typedef typename internal::visitor_evaluator<Derived> ThisEvaluator;
  ThisEvaluator thisEval(derived());
  
  enum {
    unroll =  SizeAtCompileTime != Dynamic
           && SizeAtCompileTime * ThisEvaluator::CoeffReadCost + (SizeAtCompileTime-1) * internal::functor_traits<Visitor>::Cost <= EIGEN_UNROLLING_LIMIT
  };
  return internal::visitor_impl<Visitor, ThisEvaluator, unroll ? int(SizeAtCompileTime) : Dynamic>::run(thisEval, visitor);
}

References Eigen::Dynamic, and EIGEN_UNROLLING_LIMIT.

◆ Zero() [1/3]

template<typename Derived >

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

staticinherited

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:

Output:

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

{
  return Constant(Scalar(0));
}

◆ Zero() [2/3]

template<typename Derived >

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

staticinherited

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:

Output:

See also: Zero(), Zero(Index)

{
  return Constant(rows, cols, Scalar(0));
}

◆ Zero() [3/3]

template<typename Derived >

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

staticinherited

Returns: an expression of a zero vector.

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

\only_for_vectors

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:

Output:

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

{
  return Constant(size, Scalar(0));
}

Friends And Related Symbol Documentation

◆ operator<<()

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()

{
  return internal::print_matrix(s, m.eval(), EIGEN_DEFAULT_IO_FORMAT);
}

References EIGEN_DEFAULT_IO_FORMAT, and Eigen::internal::print_matrix().

Here is the call graph for this function:

◆ pow() [1/3]

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

Returns: an expression of the coefficient-wise power of x to the given array of exponents.

This function computes the coefficient-wise power.

Example:

Output:

See also: ArrayBase::pow()

  {
    return Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<typename Derived::Scalar, typename ExponentDerived::Scalar>, const Derived, const ExponentDerived>(
      x.derived(),
      exponents.derived()
    );
  }

◆ pow() [2/3]

internal::enable_if<!(internal::is_same< typenameDerived::Scalar, ScalarExponent >::value)&&EIGEN_SCALAR_BINARY_SUPPORTED(pow, typenameDerived::Scalar, ScalarExponent), constEIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE(ArrayWrapper< ExpressionType > , ScalarExponent, pow)>::type pow	(	const Eigen::ArrayBase< ArrayWrapper< ExpressionType > > &	x,
		const ScalarExponent &	exponent
	)

Returns: an expression of the coefficient-wise power of x to the given constant exponent.

Template Parameters

ScalarExponent is the scalar type of exponent. It must be compatible with the scalar type of the given expression (Derived::Scalar).

See also: ArrayBase::pow()

                                                                        {
    return x.derived().pow(exponent);
  }

◆ pow() [3/3]

internal::enable_if<!(internal::is_same< typenameDerived::Scalar, Scalar >::value)&&EIGEN_SCALAR_BINARY_SUPPORTED(pow, Scalar, typenameDerived::Scalar), constEIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(Scalar, ArrayWrapper< ExpressionType > , pow)>::type pow	(	const Scalar &	x,
		const Eigen::ArrayBase< ArrayWrapper< ExpressionType > > &	exponents
	)

Returns: an expression of the coefficient-wise power of the scalar x to the given array of exponents.

This function computes the coefficient-wise power between a scalar and an array of exponents.

Template Parameters

Scalar is the scalar type of x. It must be compatible with the scalar type of the given array expression (Derived::Scalar).

Example:

Output:

See also: ArrayBase::pow()

  {
    return EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(Scalar,Derived,pow)(
            typename internal::plain_constant_type<Derived,Scalar>::type(exponents.rows(), exponents.cols(), x), exponents.derived() );
  }

Member Data Documentation

◆ m_expression

template<typename ExpressionType >

NestedExpressionType Eigen::ArrayWrapper< ExpressionType >::m_expression

protected

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

src/eigen/Eigen/src/Core/ArrayWrapper.h

Public Types

Public Member Functions

Static Public Member Functions

Protected Member Functions

Protected Attributes

Related Symbols

Detailed Description

Member Typedef Documentation

◆ Base

◆ CoeffReturnType

◆ ColwiseReturnType

◆ ConstantReturnType

◆ ConstColwiseReturnType

◆ ConstReverseReturnType

◆ ConstRowwiseReturnType

◆ ConstTransposeReturnType

◆ Eigen_BaseClassForSpecializationOfGlobalMathFuncImpl

◆ EigenvaluesReturnType

◆ EvalReturnType

◆ InnerIterator

◆ NestedExpression

◆ NestedExpressionType

◆ PacketScalar

◆ PlainArray

◆ PlainMatrix

◆ PlainObject

◆ RandomAccessLinSpacedReturnType

◆ RandomReturnType

◆ RealScalar

◆ ReverseReturnType

◆ RowwiseReturnType

◆ Scalar

◆ ScalarWithConstIfNotLvalue

◆ SequentialLinSpacedReturnType

◆ StorageBaseType

◆ StorageIndex

◆ StorageKind

◆ TransposeReturnType

◆ value_type

Member Enumeration Documentation

◆ anonymous enum

◆ anonymous enum

Constructor & Destructor Documentation

◆ ArrayWrapper()

Member Function Documentation

◆ all()

◆ allFinite()

◆ any()

◆ array() [1/2]

◆ array() [2/2]

◆ coeffRef() [1/2]

◆ coeffRef() [2/2]

◆ cols()

◆ colwise() [1/2]

◆ colwise() [2/2]

◆ Constant() [1/3]

◆ Constant() [2/3]

◆ Constant() [3/3]

◆ count()

◆ data() [1/2]

◆ data() [2/2]

◆ eval()

◆ evalTo()

◆ fill()

◆ flagged()

◆ forceAlignedAccess() [1/2]

◆ forceAlignedAccess() [2/2]

◆ forceAlignedAccessIf() [1/2]

◆ forceAlignedAccessIf() [2/2]

◆ format()

◆ hasNaN()

◆ innerSize()

◆ innerStride()

◆ isApprox() [1/2]

◆ isApprox() [2/2]

◆ isApproxToConstant()

◆ isConstant()

◆ isMuchSmallerThan() [1/4]

◆ isMuchSmallerThan() [2/4]

◆ isMuchSmallerThan() [3/4]