Pseudo expression providing partial reduction operations. More...

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

Collaboration diagram for Eigen::VectorwiseOp< ExpressionType, Direction >:

Classes
struct	ExtendedType

struct	LpNormReturnType

struct	OppositeExtendedType

struct	ReduxReturnType

struct	ReturnType

Public Types
enum	{ isVertical = (Direction==Vertical) ? 1 : 0 , isHorizontal = (Direction==Horizontal) ? 1 : 0 }

enum	{ HNormalized_Size , HNormalized_SizeMinusOne = HNormalized_Size==Dynamic ? Dynamic : HNormalized_Size-1 }

typedef ExpressionType::Scalar	Scalar

typedef ExpressionType::RealScalar	RealScalar

typedef Eigen::Index	Index

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

typedef internal::remove_all< ExpressionTypeNested >::type	ExpressionTypeNestedCleaned

typedef ReturnType< internal::member_minCoeff >::Type	MinCoeffReturnType

typedef ReturnType< internal::member_maxCoeff >::Type	MaxCoeffReturnType

typedef ReturnType< internal::member_squaredNorm, RealScalar >::Type	SquaredNormReturnType

typedef ReturnType< internal::member_norm, RealScalar >::Type	NormReturnType

typedef ReturnType< internal::member_blueNorm, RealScalar >::Type	BlueNormReturnType

typedef ReturnType< internal::member_stableNorm, RealScalar >::Type	StableNormReturnType

typedef ReturnType< internal::member_hypotNorm, RealScalar >::Type	HypotNormReturnType

typedef ReturnType< internal::member_sum >::Type	SumReturnType

typedef ReturnType< internal::member_mean >::Type	MeanReturnType

typedef ReturnType< internal::member_all >::Type	AllReturnType

typedef ReturnType< internal::member_any >::Type	AnyReturnType

typedef PartialReduxExpr< ExpressionType, internal::member_count< Index >, Direction >	CountReturnType

typedef ReturnType< internal::member_prod >::Type	ProdReturnType

typedef Reverse< const ExpressionType, Direction >	ConstReverseReturnType

typedef Reverse< ExpressionType, Direction >	ReverseReturnType

typedef Replicate< ExpressionType,(isVertical?Dynamic:1),(isHorizontal?Dynamic:1)>	ReplicateReturnType

typedef Homogeneous< ExpressionType, Direction >	HomogeneousReturnType

typedef ExpressionType::PlainObject	CrossReturnType

typedef Block< const ExpressionType, Direction==Vertical ? int(HNormalized_SizeMinusOne) :int(internal::traits< ExpressionType >::RowsAtCompileTime), Direction==Horizontal ? int(HNormalized_SizeMinusOne) :int(internal::traits< ExpressionType >::ColsAtCompileTime)>	HNormalized_Block

typedef Block< const ExpressionType, Direction==Vertical ? 1 :int(internal::traits< ExpressionType >::RowsAtCompileTime), Direction==Horizontal ? 1 :int(internal::traits< ExpressionType >::ColsAtCompileTime)>	HNormalized_Factors

typedef CwiseBinaryOp< internal::scalar_quotient_op< typename internal::traits< ExpressionType >::Scalar >, const HNormalized_Block, const Replicate< HNormalized_Factors, Direction==Vertical ? HNormalized_SizeMinusOne :1, Direction==Horizontal ? HNormalized_SizeMinusOne :1 > >	HNormalizedReturnType

Public Member Functions
EIGEN_DEVICE_FUNC	VectorwiseOp (ExpressionType &matrix)

EIGEN_DEVICE_FUNC const ExpressionType &	_expression () const

template<typename BinaryOp >
EIGEN_DEVICE_FUNC const ReduxReturnType< BinaryOp >::Type	redux (const BinaryOp &func=BinaryOp()) const

EIGEN_DEVICE_FUNC const MinCoeffReturnType	minCoeff () const

EIGEN_DEVICE_FUNC const MaxCoeffReturnType	maxCoeff () const

EIGEN_DEVICE_FUNC const SquaredNormReturnType	squaredNorm () const

EIGEN_DEVICE_FUNC const NormReturnType	norm () const

template<int p>
EIGEN_DEVICE_FUNC const LpNormReturnType< p >::Type	lpNorm () const

EIGEN_DEVICE_FUNC const BlueNormReturnType	blueNorm () const

EIGEN_DEVICE_FUNC const StableNormReturnType	stableNorm () const

EIGEN_DEVICE_FUNC const HypotNormReturnType	hypotNorm () const

EIGEN_DEVICE_FUNC const SumReturnType	sum () const

EIGEN_DEVICE_FUNC const MeanReturnType	mean () const

EIGEN_DEVICE_FUNC const AllReturnType	all () const

EIGEN_DEVICE_FUNC const AnyReturnType	any () const

EIGEN_DEVICE_FUNC const CountReturnType	count () const

EIGEN_DEVICE_FUNC const ProdReturnType	prod () const

EIGEN_DEVICE_FUNC const ConstReverseReturnType	reverse () const

EIGEN_DEVICE_FUNC ReverseReturnType	reverse ()

EIGEN_DEVICE_FUNC const ReplicateReturnType	replicate (Index factor) const

template<int Factor>
const Replicate< ExpressionType, isVertical Factor+isHorizontal, isHorizontal Factor+isVertical > EIGEN_DEVICE_FUNC	replicate (Index factor=Factor) const

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

template<typename OtherDerived >
EIGEN_DEVICE_FUNC ExpressionType &	operator+= (const DenseBase< OtherDerived > &other)

template<typename OtherDerived >
EIGEN_DEVICE_FUNC ExpressionType &	operator-= (const DenseBase< OtherDerived > &other)

template<typename OtherDerived >
EIGEN_DEVICE_FUNC ExpressionType &	operator*= (const DenseBase< OtherDerived > &other)

template<typename OtherDerived >
EIGEN_DEVICE_FUNC ExpressionType &	operator/= (const DenseBase< OtherDerived > &other)

template<typename OtherDerived >
EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC CwiseBinaryOp< internal::scalar_sum_op< Scalar, typename OtherDerived::Scalar >, const ExpressionTypeNestedCleaned, const typename ExtendedType< OtherDerived >::Type >	operator+ (const DenseBase< OtherDerived > &other) const

template<typename OtherDerived >
EIGEN_DEVICE_FUNC CwiseBinaryOp< internal::scalar_difference_op< Scalar, typename OtherDerived::Scalar >, const ExpressionTypeNestedCleaned, const typename ExtendedType< OtherDerived >::Type >	operator- (const DenseBase< OtherDerived > &other) const

template<typename OtherDerived >
EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC CwiseBinaryOp< internal::scalar_product_op< Scalar >, const ExpressionTypeNestedCleaned, const typename ExtendedType< OtherDerived >::Type > EIGEN_DEVICE_FUNC	operator* (const DenseBase< OtherDerived > &other) const

template<typename OtherDerived >
EIGEN_DEVICE_FUNC CwiseBinaryOp< internal::scalar_quotient_op< Scalar >, const ExpressionTypeNestedCleaned, const typename ExtendedType< OtherDerived >::Type >	operator/ (const DenseBase< OtherDerived > &other) const

EIGEN_DEVICE_FUNC CwiseBinaryOp< internal::scalar_quotient_op< Scalar >, const ExpressionTypeNestedCleaned, const typename OppositeExtendedType< typename ReturnType< internal::member_norm, RealScalar >::Type >::Type >	normalized () const

EIGEN_DEVICE_FUNC void	normalize ()

EIGEN_DEVICE_FUNC void	reverseInPlace ()

EIGEN_DEVICE_FUNC HomogeneousReturnType	homogeneous () const

template<typename OtherDerived >
EIGEN_DEVICE_FUNC const CrossReturnType	cross (const MatrixBase< OtherDerived > &other) const

EIGEN_DEVICE_FUNC const HNormalizedReturnType	hnormalized () const
	column or row-wise homogeneous normalization

Protected Types
typedef internal::conditional< isVertical, typenameExpressionType::ColXpr, typenameExpressionType::RowXpr >::type	SubVector

Protected Member Functions
EIGEN_DEVICE_FUNC SubVector	subVector (Index i)

EIGEN_DEVICE_FUNC Index	subVectors () const

template<typename OtherDerived >
EIGEN_DEVICE_FUNC ExtendedType< OtherDerived >::Type	extendedTo (const DenseBase< OtherDerived > &other) const

template<typename OtherDerived >
EIGEN_DEVICE_FUNC OppositeExtendedType< OtherDerived >::Type	extendedToOpposite (const DenseBase< OtherDerived > &other) const

Protected Attributes
ExpressionTypeNested	m_matrix

Detailed Description

template<typename ExpressionType, int Direction>
class Eigen::VectorwiseOp< ExpressionType, Direction >

Pseudo expression providing partial reduction operations.

Template Parameters

ExpressionType	the type of the object on which to do partial reductions
Direction	indicates the direction of the redux (Vertical or Horizontal)

This class represents a pseudo expression with partial reduction features. It is the return type of DenseBase::colwise() and DenseBase::rowwise() and most of the time this is the only way it is used.

Example:

Output:

See also: DenseBase::colwise(), DenseBase::rowwise(), class PartialReduxExpr

Class Documentation

◆ Eigen::VectorwiseOp::ExtendedType

struct Eigen::VectorwiseOp::ExtendedType

template<typename ExpressionType, int Direction>
template<typename OtherDerived>
struct Eigen::VectorwiseOp< ExpressionType, Direction >::ExtendedType< OtherDerived >

Class Members
typedef Replicate< OtherDerived, isVertical ? 1 :RowsAtCompileTime, isHorizontal ? 1 :ColsAtCompileTime >	Type

◆ Eigen::VectorwiseOp::LpNormReturnType

struct Eigen::VectorwiseOp::LpNormReturnType

template<typename ExpressionType, int Direction>
template<int p>
struct Eigen::VectorwiseOp< ExpressionType, Direction >::LpNormReturnType< p >

Class Members
typedef PartialReduxExpr< ExpressionType, member_lpnorm< p, RealScalar >, Direction >	Type

◆ Eigen::VectorwiseOp::OppositeExtendedType

struct Eigen::VectorwiseOp::OppositeExtendedType

template<typename ExpressionType, int Direction>
template<typename OtherDerived>
struct Eigen::VectorwiseOp< ExpressionType, Direction >::OppositeExtendedType< OtherDerived >

Class Members
typedef Replicate< OtherDerived, isHorizontal ? 1 :RowsAtCompileTime, isVertical ? 1 :ColsAtCompileTime >	Type

◆ Eigen::VectorwiseOp::ReduxReturnType

struct Eigen::VectorwiseOp::ReduxReturnType

template<typename ExpressionType, int Direction>
template<typename BinaryOp>
struct Eigen::VectorwiseOp< ExpressionType, Direction >::ReduxReturnType< BinaryOp >

Class Members
typedef PartialReduxExpr< ExpressionType, member_redux< BinaryOp, Scalar >, Direction >	Type

◆ Eigen::VectorwiseOp::ReturnType

struct Eigen::VectorwiseOp::ReturnType

template<typename ExpressionType, int Direction>
template<template< typename _Scalar > class Functor, typename Scalar_ = Scalar>
struct Eigen::VectorwiseOp< ExpressionType, Direction >::ReturnType< Functor, Scalar_ >

Class Members
typedef PartialReduxExpr< ExpressionType, Functor< Scalar_ >, Direction >	Type

Member Typedef Documentation

◆ AllReturnType

template<typename ExpressionType , int Direction>

typedef ReturnType<internal::member_all>::Type Eigen::VectorwiseOp< ExpressionType, Direction >::AllReturnType

◆ AnyReturnType

template<typename ExpressionType , int Direction>

typedef ReturnType<internal::member_any>::Type Eigen::VectorwiseOp< ExpressionType, Direction >::AnyReturnType

◆ BlueNormReturnType

template<typename ExpressionType , int Direction>

typedef ReturnType<internal::member_blueNorm,RealScalar>::Type Eigen::VectorwiseOp< ExpressionType, Direction >::BlueNormReturnType

◆ ConstReverseReturnType

template<typename ExpressionType , int Direction>

typedef Reverse<const ExpressionType, Direction> Eigen::VectorwiseOp< ExpressionType, Direction >::ConstReverseReturnType

◆ CountReturnType

template<typename ExpressionType , int Direction>

typedef PartialReduxExpr<ExpressionType, internal::member_count<Index>, Direction> Eigen::VectorwiseOp< ExpressionType, Direction >::CountReturnType

◆ CrossReturnType

template<typename ExpressionType , int Direction>

typedef ExpressionType::PlainObject Eigen::VectorwiseOp< ExpressionType, Direction >::CrossReturnType

◆ ExpressionTypeNested

template<typename ExpressionType , int Direction>

typedef internal::ref_selector<ExpressionType>::non_const_type Eigen::VectorwiseOp< ExpressionType, Direction >::ExpressionTypeNested

◆ ExpressionTypeNestedCleaned

template<typename ExpressionType , int Direction>

typedef internal::remove_all<ExpressionTypeNested>::type Eigen::VectorwiseOp< ExpressionType, Direction >::ExpressionTypeNestedCleaned

◆ HNormalized_Block

template<typename ExpressionType , int Direction>

typedef Block<const ExpressionType, Direction==Vertical ? int(HNormalized_SizeMinusOne) : int(internal::traits<ExpressionType>::RowsAtCompileTime), Direction==Horizontal ? int(HNormalized_SizeMinusOne) : int(internal::traits<ExpressionType>::ColsAtCompileTime)> Eigen::VectorwiseOp< ExpressionType, Direction >::HNormalized_Block

◆ HNormalized_Factors

template<typename ExpressionType , int Direction>

typedef Block<const ExpressionType, Direction==Vertical ? 1 : int(internal::traits<ExpressionType>::RowsAtCompileTime), Direction==Horizontal ? 1 : int(internal::traits<ExpressionType>::ColsAtCompileTime)> Eigen::VectorwiseOp< ExpressionType, Direction >::HNormalized_Factors

◆ HNormalizedReturnType

template<typename ExpressionType , int Direction>

typedef CwiseBinaryOp<internal::scalar_quotient_op<typename internal::traits<ExpressionType>::Scalar>, const HNormalized_Block, const Replicate<HNormalized_Factors, Direction==Vertical ? HNormalized_SizeMinusOne : 1, Direction==Horizontal ? HNormalized_SizeMinusOne : 1> > Eigen::VectorwiseOp< ExpressionType, Direction >::HNormalizedReturnType

◆ HomogeneousReturnType

template<typename ExpressionType , int Direction>

typedef Homogeneous<ExpressionType,Direction> Eigen::VectorwiseOp< ExpressionType, Direction >::HomogeneousReturnType

◆ HypotNormReturnType

template<typename ExpressionType , int Direction>

typedef ReturnType<internal::member_hypotNorm,RealScalar>::Type Eigen::VectorwiseOp< ExpressionType, Direction >::HypotNormReturnType

◆ Index

template<typename ExpressionType , int Direction>

typedef Eigen::Index Eigen::VectorwiseOp< ExpressionType, Direction >::Index

◆ MaxCoeffReturnType

template<typename ExpressionType , int Direction>

typedef ReturnType<internal::member_maxCoeff>::Type Eigen::VectorwiseOp< ExpressionType, Direction >::MaxCoeffReturnType

◆ MeanReturnType

template<typename ExpressionType , int Direction>

typedef ReturnType<internal::member_mean>::Type Eigen::VectorwiseOp< ExpressionType, Direction >::MeanReturnType

◆ MinCoeffReturnType

template<typename ExpressionType , int Direction>

typedef ReturnType<internal::member_minCoeff>::Type Eigen::VectorwiseOp< ExpressionType, Direction >::MinCoeffReturnType

◆ NormReturnType

template<typename ExpressionType , int Direction>

typedef ReturnType<internal::member_norm,RealScalar>::Type Eigen::VectorwiseOp< ExpressionType, Direction >::NormReturnType

◆ ProdReturnType

template<typename ExpressionType , int Direction>

typedef ReturnType<internal::member_prod>::Type Eigen::VectorwiseOp< ExpressionType, Direction >::ProdReturnType

◆ RealScalar

template<typename ExpressionType , int Direction>

typedef ExpressionType::RealScalar Eigen::VectorwiseOp< ExpressionType, Direction >::RealScalar

◆ ReplicateReturnType

template<typename ExpressionType , int Direction>

typedef Replicate<ExpressionType,(isVertical?Dynamic:1),(isHorizontal?Dynamic:1)> Eigen::VectorwiseOp< ExpressionType, Direction >::ReplicateReturnType

◆ ReverseReturnType

template<typename ExpressionType , int Direction>

typedef Reverse<ExpressionType, Direction> Eigen::VectorwiseOp< ExpressionType, Direction >::ReverseReturnType

◆ Scalar

template<typename ExpressionType , int Direction>

typedef ExpressionType::Scalar Eigen::VectorwiseOp< ExpressionType, Direction >::Scalar

◆ SquaredNormReturnType

template<typename ExpressionType , int Direction>

typedef ReturnType<internal::member_squaredNorm,RealScalar>::Type Eigen::VectorwiseOp< ExpressionType, Direction >::SquaredNormReturnType

◆ StableNormReturnType

template<typename ExpressionType , int Direction>

typedef ReturnType<internal::member_stableNorm,RealScalar>::Type Eigen::VectorwiseOp< ExpressionType, Direction >::StableNormReturnType

◆ SubVector

template<typename ExpressionType , int Direction>

typedef internal::conditional<isVertical,typenameExpressionType::ColXpr,typenameExpressionType::RowXpr>::type Eigen::VectorwiseOp< ExpressionType, Direction >::SubVector

protected

◆ SumReturnType

template<typename ExpressionType , int Direction>

typedef ReturnType<internal::member_sum>::Type Eigen::VectorwiseOp< ExpressionType, Direction >::SumReturnType

Member Enumeration Documentation

◆ anonymous enum

template<typename ExpressionType , int Direction>

anonymous enum

Enumerator
isVertical
isHorizontal

         {
      isVertical   = (Direction==Vertical) ? 1 : 0,
      isHorizontal = (Direction==Horizontal) ? 1 : 0
    };

◆ anonymous enum

template<typename ExpressionType , int Direction>

anonymous enum

Enumerator
HNormalized_Size
HNormalized_SizeMinusOne

         {
      HNormalized_Size = Direction==Vertical ? internal::traits<ExpressionType>::RowsAtCompileTime
                                             : internal::traits<ExpressionType>::ColsAtCompileTime,
      HNormalized_SizeMinusOne = HNormalized_Size==Dynamic ? Dynamic : HNormalized_Size-1
    };

Constructor & Destructor Documentation

◆ VectorwiseOp()

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC Eigen::VectorwiseOp< ExpressionType, Direction >::VectorwiseOp ( ExpressionType & matrix )

inlineexplicit

255: m_matrix(matrix) {}

Eigen::VectorwiseOp::m_matrix

ExpressionTypeNested m_matrix

Definition VectorwiseOp.h:662

Member Function Documentation

◆ _expression()

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC const ExpressionType & Eigen::VectorwiseOp< ExpressionType, Direction >::_expression ( ) const

inline

259{ return m_matrix; }

References Eigen::VectorwiseOp< ExpressionType, Direction >::m_matrix.

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◆ all()

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC const AllReturnType Eigen::VectorwiseOp< ExpressionType, Direction >::all ( ) const

inline

Returns: a row (or column) vector expression representing whether all coefficients of each respective column (or row) are true. This expression can be assigned to a vector with entries of type bool.

See also: DenseBase::all()

416 { return AllReturnType(_expression()); }

Eigen::VectorwiseOp::_expression

EIGEN_DEVICE_FUNC const ExpressionType & _expression() const

Definition VectorwiseOp.h:259

Eigen::VectorwiseOp::AllReturnType

ReturnType< internal::member_all >::Type AllReturnType

Definition VectorwiseOp.h:283

References Eigen::VectorwiseOp< ExpressionType, Direction >::_expression().

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◆ any()

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC const AnyReturnType Eigen::VectorwiseOp< ExpressionType, Direction >::any ( ) const

inline

Returns: a row (or column) vector expression representing whether at least one coefficient of each respective column (or row) is true. This expression can be assigned to a vector with entries of type bool.

See also: DenseBase::any()

425 { return AnyReturnType(_expression()); }

Eigen::VectorwiseOp::AnyReturnType

ReturnType< internal::member_any >::Type AnyReturnType

Definition VectorwiseOp.h:284

References Eigen::VectorwiseOp< ExpressionType, Direction >::_expression().

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◆ blueNorm()

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC const BlueNormReturnType Eigen::VectorwiseOp< ExpressionType, Direction >::blueNorm ( ) const

inline

Returns: a row (or column) vector expression of the norm of each column (or row) of the referenced expression, using Blue's algorithm. This is a vector with real entries, even if the original matrix has complex entries.

See also: DenseBase::blueNorm()

366 { return BlueNormReturnType(_expression()); }

Eigen::VectorwiseOp::BlueNormReturnType

ReturnType< internal::member_blueNorm, RealScalar >::Type BlueNormReturnType

Definition VectorwiseOp.h:278

References Eigen::VectorwiseOp< ExpressionType, Direction >::_expression().

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◆ count()

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC const CountReturnType Eigen::VectorwiseOp< ExpressionType, Direction >::count ( ) const

inline

Returns: a row (or column) vector expression representing the number of true coefficients of each respective column (or row). This expression can be assigned to a vector whose entries have the same type as is used to index entries of the original matrix; for dense matrices, this is std::ptrdiff_t .

Example:

Output:

See also: DenseBase::count()

438 { return CountReturnType(_expression()); }

Eigen::VectorwiseOp::CountReturnType

PartialReduxExpr< ExpressionType, internal::member_count< Index >, Direction > CountReturnType

Definition VectorwiseOp.h:285

References Eigen::VectorwiseOp< ExpressionType, Direction >::_expression().

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◆ extendedTo()

template<typename ExpressionType , int Direction>

template<typename OtherDerived >

EIGEN_DEVICE_FUNC ExtendedType< OtherDerived >::Type Eigen::VectorwiseOp< ExpressionType, Direction >::extendedTo ( const DenseBase< OtherDerived > & other ) const

inlineprotected

    {
      EIGEN_STATIC_ASSERT(EIGEN_IMPLIES(isVertical, OtherDerived::MaxColsAtCompileTime==1),
                          YOU_PASSED_A_ROW_VECTOR_BUT_A_COLUMN_VECTOR_WAS_EXPECTED)
      EIGEN_STATIC_ASSERT(EIGEN_IMPLIES(isHorizontal, OtherDerived::MaxRowsAtCompileTime==1),
                          YOU_PASSED_A_COLUMN_VECTOR_BUT_A_ROW_VECTOR_WAS_EXPECTED)
      return typename ExtendedType<OtherDerived>::Type
                      (other.derived(),
                       isVertical   ? 1 : m_matrix.rows(),
                       isHorizontal ? 1 : m_matrix.cols());
    }

References EIGEN_IMPLIES, EIGEN_STATIC_ASSERT, Eigen::VectorwiseOp< ExpressionType, Direction >::isHorizontal, Eigen::VectorwiseOp< ExpressionType, Direction >::isVertical, and Eigen::VectorwiseOp< ExpressionType, Direction >::m_matrix.

Referenced by Eigen::DenseBase< ArrayWrapper< ExpressionType > >::colwise(), Eigen::VectorwiseOp< ExpressionType, Direction >::operator*(), Eigen::VectorwiseOp< ExpressionType, Direction >::operator*=(), Eigen::VectorwiseOp< ExpressionType, Direction >::operator+(), Eigen::VectorwiseOp< ExpressionType, Direction >::operator+=(), Eigen::VectorwiseOp< ExpressionType, Direction >::operator-(), Eigen::VectorwiseOp< ExpressionType, Direction >::operator/(), Eigen::VectorwiseOp< ExpressionType, Direction >::operator/=(), and Eigen::VectorwiseOp< ExpressionType, Direction >::operator=().

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◆ extendedToOpposite()

template<typename ExpressionType , int Direction>

template<typename OtherDerived >

EIGEN_DEVICE_FUNC OppositeExtendedType< OtherDerived >::Type Eigen::VectorwiseOp< ExpressionType, Direction >::extendedToOpposite ( const DenseBase< OtherDerived > & other ) const

inlineprotected

    {
      EIGEN_STATIC_ASSERT(EIGEN_IMPLIES(isHorizontal, OtherDerived::MaxColsAtCompileTime==1),
                          YOU_PASSED_A_ROW_VECTOR_BUT_A_COLUMN_VECTOR_WAS_EXPECTED)
      EIGEN_STATIC_ASSERT(EIGEN_IMPLIES(isVertical, OtherDerived::MaxRowsAtCompileTime==1),
                          YOU_PASSED_A_COLUMN_VECTOR_BUT_A_ROW_VECTOR_WAS_EXPECTED)
      return typename OppositeExtendedType<OtherDerived>::Type
                      (other.derived(),
                       isHorizontal  ? 1 : m_matrix.rows(),
                       isVertical    ? 1 : m_matrix.cols());
    }

References EIGEN_IMPLIES, EIGEN_STATIC_ASSERT, Eigen::VectorwiseOp< ExpressionType, Direction >::isHorizontal, Eigen::VectorwiseOp< ExpressionType, Direction >::isVertical, and Eigen::VectorwiseOp< ExpressionType, Direction >::m_matrix.

Referenced by Eigen::VectorwiseOp< ExpressionType, Direction >::normalized().

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◆ hypotNorm()

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC const HypotNormReturnType Eigen::VectorwiseOp< ExpressionType, Direction >::hypotNorm ( ) const

inline

Returns: a row (or column) vector expression of the norm of each column (or row) of the referenced expression, avoiding underflow and overflow using a concatenation of hypot() calls. This is a vector with real entries, even if the original matrix has complex entries.

See also: DenseBase::hypotNorm()

388 { return HypotNormReturnType(_expression()); }

Eigen::VectorwiseOp::HypotNormReturnType

ReturnType< internal::member_hypotNorm, RealScalar >::Type HypotNormReturnType

Definition VectorwiseOp.h:280

References Eigen::VectorwiseOp< ExpressionType, Direction >::_expression().

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◆ lpNorm()

template<typename ExpressionType , int Direction>

template<int p>

EIGEN_DEVICE_FUNC const LpNormReturnType< p >::Type Eigen::VectorwiseOp< ExpressionType, Direction >::lpNorm ( ) const

inline

Returns: a row (or column) vector expression of the norm of each column (or row) of the referenced expression. This is a vector with real entries, even if the original matrix has complex entries.

Example:

Output:

See also: DenseBase::norm()

355 { return typename LpNormReturnType<p>::Type(_expression()); }

Eigen::VectorwiseOp::LpNormReturnType::Type

PartialReduxExpr< ExpressionType, internal::member_lpnorm< p, RealScalar >, Direction > Type

Definition VectorwiseOp.h:291

References Eigen::VectorwiseOp< ExpressionType, Direction >::_expression().

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◆ maxCoeff()

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC const MaxCoeffReturnType Eigen::VectorwiseOp< ExpressionType, Direction >::maxCoeff ( ) const

inline

Returns: a row (or column) vector expression of the largest coefficient of each column (or row) of the referenced expression.

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

Example:

Output:

See also: DenseBase::maxCoeff()

318 { return MaxCoeffReturnType(_expression()); }

Eigen::VectorwiseOp::MaxCoeffReturnType

ReturnType< internal::member_maxCoeff >::Type MaxCoeffReturnType

Definition VectorwiseOp.h:275

References Eigen::VectorwiseOp< ExpressionType, Direction >::_expression().

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

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◆ mean()

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC const MeanReturnType Eigen::VectorwiseOp< ExpressionType, Direction >::mean ( ) const

inline

Returns: a row (or column) vector expression of the mean of each column (or row) of the referenced expression.

See also: DenseBase::mean()

407 { return MeanReturnType(_expression()); }

Eigen::VectorwiseOp::MeanReturnType

ReturnType< internal::member_mean >::Type MeanReturnType

Definition VectorwiseOp.h:282

References Eigen::VectorwiseOp< ExpressionType, Direction >::_expression().

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◆ minCoeff()

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC const MinCoeffReturnType Eigen::VectorwiseOp< ExpressionType, Direction >::minCoeff ( ) const

inline

Returns: a row (or column) vector expression of the smallest coefficient of each column (or row) of the referenced expression.

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

Example:

Output:

See also: DenseBase::minCoeff()

305 { return MinCoeffReturnType(_expression()); }

Eigen::VectorwiseOp::MinCoeffReturnType

ReturnType< internal::member_minCoeff >::Type MinCoeffReturnType

Definition VectorwiseOp.h:274

References Eigen::VectorwiseOp< ExpressionType, Direction >::_expression().

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

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◆ norm()

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC const NormReturnType Eigen::VectorwiseOp< ExpressionType, Direction >::norm ( ) const

inline

Returns: a row (or column) vector expression of the norm of each column (or row) of the referenced expression. This is a vector with real entries, even if the original matrix has complex entries.

Example:

Output:

See also: DenseBase::norm()

342 { return NormReturnType(_expression()); }

Eigen::VectorwiseOp::NormReturnType

ReturnType< internal::member_norm, RealScalar >::Type NormReturnType

Definition VectorwiseOp.h:277

References Eigen::VectorwiseOp< ExpressionType, Direction >::_expression().

Referenced by Eigen::VectorwiseOp< ExpressionType, Direction >::normalized().

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◆ normalize()

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC void Eigen::VectorwiseOp< ExpressionType, Direction >::normalize ( )

inline

Normalize in-place each row or columns of the referenced matrix.

See also: MatrixBase::normalize(), normalized()

                                       {
      m_matrix = this->normalized();
    }

References Eigen::VectorwiseOp< ExpressionType, Direction >::m_matrix, and Eigen::VectorwiseOp< ExpressionType, Direction >::normalized().

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◆ normalized()

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC CwiseBinaryOp< internal::scalar_quotient_op< Scalar >, const ExpressionTypeNestedCleaned, const typename OppositeExtendedType< typename ReturnType< internal::member_norm, RealScalar >::Type >::Type > Eigen::VectorwiseOp< ExpressionType, Direction >::normalized ( ) const

inline

Returns: an expression where each column (or row) of the referenced matrix are normalized. The referenced matrix is not modified.

See also: MatrixBase::normalized(), normalize()

613{ return m_matrix.cwiseQuotient(extendedToOpposite(this->norm())); }

Eigen::VectorwiseOp::norm

EIGEN_DEVICE_FUNC const NormReturnType norm() const

Definition VectorwiseOp.h:341

Eigen::VectorwiseOp::extendedToOpposite

EIGEN_DEVICE_FUNC OppositeExtendedType< OtherDerived >::Type extendedToOpposite(const DenseBase< OtherDerived > &other) const

Definition VectorwiseOp.h:241

References Eigen::VectorwiseOp< ExpressionType, Direction >::extendedToOpposite(), Eigen::VectorwiseOp< ExpressionType, Direction >::m_matrix, and Eigen::VectorwiseOp< ExpressionType, Direction >::norm().

Referenced by Eigen::VectorwiseOp< ExpressionType, Direction >::normalize().

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◆ operator*()

template<typename ExpressionType , int Direction>

template<typename OtherDerived >

EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC CwiseBinaryOp< internal::scalar_product_op< Scalar >, const ExpressionTypeNestedCleaned, const typename ExtendedType< OtherDerived >::Type > EIGEN_DEVICE_FUNC Eigen::VectorwiseOp< ExpressionType, Direction >::operator* ( const DenseBase< OtherDerived > & other ) const

inline

Returns the expression where each subvector is the product of the vector other by the corresponding subvector of *this

    {
      EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
      EIGEN_STATIC_ASSERT_ARRAYXPR(ExpressionType)
      EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived)
      return m_matrix * extendedTo(other.derived());
    }

References EIGEN_STATIC_ASSERT_ARRAYXPR, EIGEN_STATIC_ASSERT_SAME_XPR_KIND, EIGEN_STATIC_ASSERT_VECTOR_ONLY, Eigen::VectorwiseOp< ExpressionType, Direction >::extendedTo(), and Eigen::VectorwiseOp< ExpressionType, Direction >::m_matrix.

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◆ operator*=()

template<typename ExpressionType , int Direction>

template<typename OtherDerived >

EIGEN_DEVICE_FUNC ExpressionType & Eigen::VectorwiseOp< ExpressionType, Direction >::operator*= ( const DenseBase< OtherDerived > & other )

inline

Multiples each subvector of *this by the vector other

    {
      EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
      EIGEN_STATIC_ASSERT_ARRAYXPR(ExpressionType)
      EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived)
      m_matrix *= extendedTo(other.derived());
      return const_cast<ExpressionType&>(m_matrix);
    }

References EIGEN_STATIC_ASSERT_ARRAYXPR, EIGEN_STATIC_ASSERT_SAME_XPR_KIND, EIGEN_STATIC_ASSERT_VECTOR_ONLY, Eigen::VectorwiseOp< ExpressionType, Direction >::extendedTo(), and Eigen::VectorwiseOp< ExpressionType, Direction >::m_matrix.

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◆ operator+()

template<typename ExpressionType , int Direction>

template<typename OtherDerived >

EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC CwiseBinaryOp< internal::scalar_sum_op< Scalar, typename OtherDerived::Scalar >, const ExpressionTypeNestedCleaned, const typename ExtendedType< OtherDerived >::Type > Eigen::VectorwiseOp< ExpressionType, Direction >::operator+ ( const DenseBase< OtherDerived > & other ) const

inline

Returns the expression of the sum of the vector other to each subvector of *this

    {
      EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
      EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived)
      return m_matrix + extendedTo(other.derived());
    }

References EIGEN_STATIC_ASSERT_SAME_XPR_KIND, EIGEN_STATIC_ASSERT_VECTOR_ONLY, Eigen::VectorwiseOp< ExpressionType, Direction >::extendedTo(), and Eigen::VectorwiseOp< ExpressionType, Direction >::m_matrix.

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◆ operator+=()

template<typename ExpressionType , int Direction>

template<typename OtherDerived >

EIGEN_DEVICE_FUNC ExpressionType & Eigen::VectorwiseOp< ExpressionType, Direction >::operator+= ( const DenseBase< OtherDerived > & other )

inline

Adds the vector other to each subvector of *this

    {
      EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
      EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived)
      return const_cast<ExpressionType&>(m_matrix += extendedTo(other.derived()));
    }

References EIGEN_STATIC_ASSERT_SAME_XPR_KIND, EIGEN_STATIC_ASSERT_VECTOR_ONLY, Eigen::VectorwiseOp< ExpressionType, Direction >::extendedTo(), and Eigen::VectorwiseOp< ExpressionType, Direction >::m_matrix.

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◆ operator-()

template<typename ExpressionType , int Direction>

template<typename OtherDerived >

EIGEN_DEVICE_FUNC CwiseBinaryOp< internal::scalar_difference_op< Scalar, typename OtherDerived::Scalar >, const ExpressionTypeNestedCleaned, const typename ExtendedType< OtherDerived >::Type > Eigen::VectorwiseOp< ExpressionType, Direction >::operator- ( const DenseBase< OtherDerived > & other ) const

inline

Returns the expression of the difference between each subvector of *this and the vector other

    {
      EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
      EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived)
      return m_matrix - extendedTo(other.derived());
    }

References EIGEN_STATIC_ASSERT_SAME_XPR_KIND, EIGEN_STATIC_ASSERT_VECTOR_ONLY, Eigen::VectorwiseOp< ExpressionType, Direction >::extendedTo(), and Eigen::VectorwiseOp< ExpressionType, Direction >::m_matrix.

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◆ operator-=()

template<typename ExpressionType , int Direction>

template<typename OtherDerived >

EIGEN_DEVICE_FUNC ExpressionType & Eigen::VectorwiseOp< ExpressionType, Direction >::operator-= ( const DenseBase< OtherDerived > & other )

inline

Substracts the vector other to each subvector of *this

    {
      EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
      EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived)
      return const_cast<ExpressionType&>(m_matrix -= extendedTo(other.derived()));
    }

◆ operator/()

template<typename ExpressionType , int Direction>

template<typename OtherDerived >

EIGEN_DEVICE_FUNC CwiseBinaryOp< internal::scalar_quotient_op< Scalar >, const ExpressionTypeNestedCleaned, const typename ExtendedType< OtherDerived >::Type > Eigen::VectorwiseOp< ExpressionType, Direction >::operator/ ( const DenseBase< OtherDerived > & other ) const

inline

Returns the expression where each subvector is the quotient of the corresponding subvector of *this by the vector other

    {
      EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
      EIGEN_STATIC_ASSERT_ARRAYXPR(ExpressionType)
      EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived)
      return m_matrix / extendedTo(other.derived());
    }

References EIGEN_STATIC_ASSERT_ARRAYXPR, EIGEN_STATIC_ASSERT_SAME_XPR_KIND, EIGEN_STATIC_ASSERT_VECTOR_ONLY, Eigen::VectorwiseOp< ExpressionType, Direction >::extendedTo(), and Eigen::VectorwiseOp< ExpressionType, Direction >::m_matrix.

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◆ operator/=()

template<typename ExpressionType , int Direction>

template<typename OtherDerived >

EIGEN_DEVICE_FUNC ExpressionType & Eigen::VectorwiseOp< ExpressionType, Direction >::operator/= ( const DenseBase< OtherDerived > & other )

inline

Divides each subvector of *this by the vector other

    {
      EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
      EIGEN_STATIC_ASSERT_ARRAYXPR(ExpressionType)
      EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived)
      m_matrix /= extendedTo(other.derived());
      return const_cast<ExpressionType&>(m_matrix);
    }

References EIGEN_STATIC_ASSERT_ARRAYXPR, EIGEN_STATIC_ASSERT_SAME_XPR_KIND, EIGEN_STATIC_ASSERT_VECTOR_ONLY, Eigen::VectorwiseOp< ExpressionType, Direction >::extendedTo(), and Eigen::VectorwiseOp< ExpressionType, Direction >::m_matrix.

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◆ operator=()

template<typename ExpressionType , int Direction>

template<typename OtherDerived >

EIGEN_DEVICE_FUNC ExpressionType & Eigen::VectorwiseOp< ExpressionType, Direction >::operator= ( const DenseBase< OtherDerived > & other )

inline

Copies the vector other to each subvector of *this

    {
      EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
      EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived)
      //eigen_assert((m_matrix.isNull()) == (other.isNull())); FIXME
      return const_cast<ExpressionType&>(m_matrix = extendedTo(other.derived()));
    }

References EIGEN_STATIC_ASSERT_SAME_XPR_KIND, EIGEN_STATIC_ASSERT_VECTOR_ONLY, Eigen::VectorwiseOp< ExpressionType, Direction >::extendedTo(), and Eigen::VectorwiseOp< ExpressionType, Direction >::m_matrix.

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◆ prod()

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC const ProdReturnType Eigen::VectorwiseOp< ExpressionType, Direction >::prod ( ) const

inline

Returns: a row (or column) vector expression of the product of each column (or row) of the referenced expression.

Example:

Output:

See also: DenseBase::prod()

449 { return ProdReturnType(_expression()); }

Eigen::VectorwiseOp::ProdReturnType

ReturnType< internal::member_prod >::Type ProdReturnType

Definition VectorwiseOp.h:286

References Eigen::VectorwiseOp< ExpressionType, Direction >::_expression().

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◆ redux()

template<typename ExpressionType , int Direction>

template<typename BinaryOp >

EIGEN_DEVICE_FUNC const ReduxReturnType< BinaryOp >::Type Eigen::VectorwiseOp< ExpressionType, Direction >::redux ( const BinaryOp & func = BinaryOp() ) const

inline

Returns: a row or column vector expression of *this reduxed by func

The template parameter BinaryOp is the type of the functor of the custom redux operator. Note that func must be an associative operator.

See also: class VectorwiseOp, DenseBase::colwise(), DenseBase::rowwise()

272 { return typename ReduxReturnType<BinaryOp>::Type(_expression(), internal::member_redux<BinaryOp,Scalar>(func)); }

Eigen::VectorwiseOp::ReduxReturnType::Type

PartialReduxExpr< ExpressionType, internal::member_redux< BinaryOp, Scalar >, Direction > Type

Definition VectorwiseOp.h:180

References Eigen::VectorwiseOp< ExpressionType, Direction >::_expression().

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◆ replicate() [1/2]

template<typename ExpressionType , int Direction>

const VectorwiseOp< ExpressionType, Direction >::ReplicateReturnType Eigen::VectorwiseOp< ExpressionType, Direction >::replicate ( Index factor ) const

Returns: an expression of the replication of each column (or row) of *this

Example:

Output:

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

{
  return typename VectorwiseOp<ExpressionType,Direction>::ReplicateReturnType
          (_expression(),Direction==Vertical?factor:1,Direction==Horizontal?factor:1);
}

References Eigen::Horizontal, and Eigen::Vertical.

◆ replicate() [2/2]

template<typename ExpressionType , int Direction>

template<int Factor>

const Replicate< ExpressionType, isVertical *Factor+isHorizontal, isHorizontal *Factor+isVertical > EIGEN_DEVICE_FUNC Eigen::VectorwiseOp< ExpressionType, Direction >::replicate ( Index factor = Factor ) const

inline

Returns: an expression of the replication of each column (or row) of *this

Example:

Output:

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

    {
      return Replicate<ExpressionType,(isVertical?Factor:1),(isHorizontal?Factor:1)>
          (_expression(),isVertical?factor:1,isHorizontal?factor:1);
    }

References Eigen::VectorwiseOp< ExpressionType, Direction >::_expression(), Eigen::VectorwiseOp< ExpressionType, Direction >::isHorizontal, and Eigen::VectorwiseOp< ExpressionType, Direction >::isVertical.

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◆ reverse() [1/2]

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC ReverseReturnType Eigen::VectorwiseOp< ExpressionType, Direction >::reverse ( )

inline

Returns: a writable matrix expression where each column (or row) are reversed.

See also: reverse() const

469 { return ReverseReturnType( _expression() ); }

Eigen::VectorwiseOp::ReverseReturnType

Reverse< ExpressionType, Direction > ReverseReturnType

Definition VectorwiseOp.h:288

References Eigen::VectorwiseOp< ExpressionType, Direction >::_expression().

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◆ reverse() [2/2]

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC const ConstReverseReturnType Eigen::VectorwiseOp< ExpressionType, Direction >::reverse ( ) const

inline

Returns: a matrix expression where each column (or row) are reversed.

Example:

Output:

See also: DenseBase::reverse()

461 { return ConstReverseReturnType( _expression() ); }

Eigen::VectorwiseOp::ConstReverseReturnType

Reverse< const ExpressionType, Direction > ConstReverseReturnType

Definition VectorwiseOp.h:287

References Eigen::VectorwiseOp< ExpressionType, Direction >::_expression().

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◆ reverseInPlace()

template<typename ExpressionType , int Direction>

void Eigen::VectorwiseOp< ExpressionType, Direction >::reverseInPlace

inline

This is the "in place" version of VectorwiseOp::reverse: it reverses each column or row of *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

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

{
  internal::vectorwise_reverse_inplace_impl<Direction>::run(_expression().const_cast_derived());
}

◆ squaredNorm()

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC const SquaredNormReturnType Eigen::VectorwiseOp< ExpressionType, Direction >::squaredNorm ( ) const

inline

Returns: a row (or column) vector expression of the squared norm of each column (or row) of the referenced expression. This is a vector with real entries, even if the original matrix has complex entries.

Example:

Output:

See also: DenseBase::squaredNorm()

330 { return SquaredNormReturnType(_expression()); }

Eigen::VectorwiseOp::SquaredNormReturnType

ReturnType< internal::member_squaredNorm, RealScalar >::Type SquaredNormReturnType

Definition VectorwiseOp.h:276

References Eigen::VectorwiseOp< ExpressionType, Direction >::_expression().

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◆ stableNorm()

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC const StableNormReturnType Eigen::VectorwiseOp< ExpressionType, Direction >::stableNorm ( ) const

inline

Returns: a row (or column) vector expression of the norm of each column (or row) of the referenced expression, avoiding underflow and overflow. This is a vector with real entries, even if the original matrix has complex entries.

See also: DenseBase::stableNorm()

377 { return StableNormReturnType(_expression()); }

Eigen::VectorwiseOp::StableNormReturnType

ReturnType< internal::member_stableNorm, RealScalar >::Type StableNormReturnType

Definition VectorwiseOp.h:279

References Eigen::VectorwiseOp< ExpressionType, Direction >::_expression().

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◆ subVector()

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC SubVector Eigen::VectorwiseOp< ExpressionType, Direction >::subVector ( Index i )

inlineprotected

    {
      return SubVector(m_matrix.derived(),i);
    }

References Eigen::VectorwiseOp< ExpressionType, Direction >::m_matrix.

◆ subVectors()

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC Index Eigen::VectorwiseOp< ExpressionType, Direction >::subVectors ( ) const

inlineprotected

205 { return isVertical?m_matrix.cols():m_matrix.rows(); }

References Eigen::VectorwiseOp< ExpressionType, Direction >::isVertical, and Eigen::VectorwiseOp< ExpressionType, Direction >::m_matrix.

◆ sum()

template<typename ExpressionType , int Direction>

EIGEN_DEVICE_FUNC const SumReturnType Eigen::VectorwiseOp< ExpressionType, Direction >::sum ( ) const

inline

Returns: a row (or column) vector expression of the sum of each column (or row) of the referenced expression.

Example:

Output:

See also: DenseBase::sum()

399 { return SumReturnType(_expression()); }

Eigen::VectorwiseOp::SumReturnType

ReturnType< internal::member_sum >::Type SumReturnType

Definition VectorwiseOp.h:281

References Eigen::VectorwiseOp< ExpressionType, Direction >::_expression().

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

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Member Data Documentation

◆ m_matrix

template<typename ExpressionType , int Direction>

ExpressionTypeNested Eigen::VectorwiseOp< ExpressionType, Direction >::m_matrix

protected

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

src/eigen/Eigen/src/Core/util/ForwardDeclarations.h
src/eigen/Eigen/src/Core/VectorwiseOp.h
src/eigen/Eigen/src/Core/Replicate.h
src/eigen/Eigen/src/Core/Reverse.h
src/eigen/Eigen/src/Geometry/Homogeneous.h
src/eigen/Eigen/src/Geometry/OrthoMethods.h

Classes

Public Types

Public Member Functions

Protected Types

Protected Member Functions

Protected Attributes

Detailed Description

Class Documentation

◆ Eigen::VectorwiseOp::ExtendedType

◆ Eigen::VectorwiseOp::LpNormReturnType

◆ Eigen::VectorwiseOp::OppositeExtendedType

◆ Eigen::VectorwiseOp::ReduxReturnType

◆ Eigen::VectorwiseOp::ReturnType

Member Typedef Documentation

◆ AllReturnType

◆ AnyReturnType

◆ BlueNormReturnType

◆ ConstReverseReturnType

◆ CountReturnType

◆ CrossReturnType

◆ ExpressionTypeNested

◆ ExpressionTypeNestedCleaned

◆ HNormalized_Block

◆ HNormalized_Factors

◆ HNormalizedReturnType

◆ HomogeneousReturnType

◆ HypotNormReturnType

◆ Index

◆ MaxCoeffReturnType

◆ MeanReturnType

◆ MinCoeffReturnType

◆ NormReturnType

◆ ProdReturnType

◆ RealScalar

◆ ReplicateReturnType

◆ ReverseReturnType

◆ Scalar

◆ SquaredNormReturnType

◆ StableNormReturnType

◆ SubVector

◆ SumReturnType

Member Enumeration Documentation

◆ anonymous enum

◆ anonymous enum

Constructor & Destructor Documentation

◆ VectorwiseOp()

Member Function Documentation

◆ _expression()

◆ all()

◆ any()

◆ blueNorm()

◆ count()

◆ extendedTo()

◆ extendedToOpposite()

◆ hypotNorm()

◆ lpNorm()

◆ maxCoeff()

◆ mean()

◆ minCoeff()

◆ norm()

◆ normalize()

◆ normalized()

◆ operator*()

◆ operator*=()

◆ operator+()

◆ operator+=()

◆ operator-()

◆ operator-=()

◆ operator/()

◆ operator/=()

◆ operator=()

◆ prod()

◆ redux()

◆ replicate() [1/2]

◆ replicate() [2/2]

◆ reverse() [1/2]

◆ reverse() [2/2]

◆ reverseInPlace()

◆ squaredNorm()

◆ stableNorm()