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author | Stanislaw Halik <sthalik@misaki.pl> | 2016-09-18 12:42:15 +0200 |
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committer | Stanislaw Halik <sthalik@misaki.pl> | 2016-11-02 15:12:04 +0100 |
commit | 44861dcbfeee041223c4aac1ee075e92fa4daa01 (patch) | |
tree | 6dfdfd9637846a7aedd71ace97d7d2ad366496d7 /eigen/Eigen/src/Core/MatrixBase.h | |
parent | f3fe458b9e0a29a99a39d47d9a76dc18964b6fec (diff) |
update
Diffstat (limited to 'eigen/Eigen/src/Core/MatrixBase.h')
-rw-r--r-- | eigen/Eigen/src/Core/MatrixBase.h | 563 |
1 files changed, 563 insertions, 0 deletions
diff --git a/eigen/Eigen/src/Core/MatrixBase.h b/eigen/Eigen/src/Core/MatrixBase.h new file mode 100644 index 0000000..e83ef4d --- /dev/null +++ b/eigen/Eigen/src/Core/MatrixBase.h @@ -0,0 +1,563 @@ +// This file is part of Eigen, a lightweight C++ template library +// for linear algebra. +// +// Copyright (C) 2006-2009 Benoit Jacob <jacob.benoit.1@gmail.com> +// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr> +// +// This Source Code Form is subject to the terms of the Mozilla +// Public License v. 2.0. If a copy of the MPL was not distributed +// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. + +#ifndef EIGEN_MATRIXBASE_H +#define EIGEN_MATRIXBASE_H + +namespace Eigen { + +/** \class MatrixBase + * \ingroup Core_Module + * + * \brief Base class for all dense matrices, vectors, and expressions + * + * This class is the base that is inherited by all matrix, vector, and related expression + * types. Most of the Eigen API is contained in this class, and its base classes. Other important + * classes for the Eigen API are Matrix, and VectorwiseOp. + * + * Note that some methods are defined in other modules such as the \ref LU_Module LU module + * for all functions related to matrix inversions. + * + * \tparam Derived is the derived type, e.g. a matrix type, or an expression, etc. + * + * When writing a function taking Eigen objects as argument, if you want your function + * to take as argument any matrix, vector, or expression, just let it take a + * MatrixBase argument. As an example, here is a function printFirstRow which, given + * a matrix, vector, or expression \a x, prints the first row of \a x. + * + * \code + template<typename Derived> + void printFirstRow(const Eigen::MatrixBase<Derived>& x) + { + cout << x.row(0) << endl; + } + * \endcode + * + * This class can be extended with the help of the plugin mechanism described on the page + * \ref TopicCustomizingEigen by defining the preprocessor symbol \c EIGEN_MATRIXBASE_PLUGIN. + * + * \sa \ref TopicClassHierarchy + */ +template<typename Derived> class MatrixBase + : public DenseBase<Derived> +{ + public: +#ifndef EIGEN_PARSED_BY_DOXYGEN + typedef MatrixBase StorageBaseType; + typedef typename internal::traits<Derived>::StorageKind StorageKind; + typedef typename internal::traits<Derived>::Index Index; + typedef typename internal::traits<Derived>::Scalar Scalar; + typedef typename internal::packet_traits<Scalar>::type PacketScalar; + typedef typename NumTraits<Scalar>::Real RealScalar; + + typedef DenseBase<Derived> Base; + using Base::RowsAtCompileTime; + using Base::ColsAtCompileTime; + using Base::SizeAtCompileTime; + using Base::MaxRowsAtCompileTime; + using Base::MaxColsAtCompileTime; + using Base::MaxSizeAtCompileTime; + using Base::IsVectorAtCompileTime; + using Base::Flags; + using Base::CoeffReadCost; + + using Base::derived; + using Base::const_cast_derived; + using Base::rows; + using Base::cols; + using Base::size; + using Base::coeff; + using Base::coeffRef; + using Base::lazyAssign; + using Base::eval; + using Base::operator+=; + using Base::operator-=; + using Base::operator*=; + using Base::operator/=; + + typedef typename Base::CoeffReturnType CoeffReturnType; + typedef typename Base::ConstTransposeReturnType ConstTransposeReturnType; + typedef typename Base::RowXpr RowXpr; + typedef typename Base::ColXpr ColXpr; +#endif // not EIGEN_PARSED_BY_DOXYGEN + + + +#ifndef EIGEN_PARSED_BY_DOXYGEN + /** type of the equivalent square matrix */ + typedef Matrix<Scalar,EIGEN_SIZE_MAX(RowsAtCompileTime,ColsAtCompileTime), + EIGEN_SIZE_MAX(RowsAtCompileTime,ColsAtCompileTime)> SquareMatrixType; +#endif // not EIGEN_PARSED_BY_DOXYGEN + + /** \returns the size of the main diagonal, which is min(rows(),cols()). + * \sa rows(), cols(), SizeAtCompileTime. */ + inline Index diagonalSize() const { return (std::min)(rows(),cols()); } + + /** \brief The plain matrix type corresponding to this expression. + * + * This is not necessarily exactly the return type of eval(). In the case of plain matrices, + * the return type of eval() is a const reference to a matrix, not a matrix! It is however guaranteed + * that the return type of eval() is either PlainObject or const PlainObject&. + */ + 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 + > PlainObject; + +#ifndef EIGEN_PARSED_BY_DOXYGEN + /** \internal Represents a matrix with all coefficients equal to one another*/ + typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,Derived> ConstantReturnType; + /** \internal the return type of MatrixBase::adjoint() */ + typedef typename internal::conditional<NumTraits<Scalar>::IsComplex, + CwiseUnaryOp<internal::scalar_conjugate_op<Scalar>, ConstTransposeReturnType>, + ConstTransposeReturnType + >::type AdjointReturnType; + /** \internal Return type of eigenvalues() */ + typedef Matrix<std::complex<RealScalar>, internal::traits<Derived>::ColsAtCompileTime, 1, ColMajor> EigenvaluesReturnType; + /** \internal the return type of identity */ + typedef CwiseNullaryOp<internal::scalar_identity_op<Scalar>,Derived> IdentityReturnType; + /** \internal the return type of unit vectors */ + typedef Block<const CwiseNullaryOp<internal::scalar_identity_op<Scalar>, SquareMatrixType>, + internal::traits<Derived>::RowsAtCompileTime, + internal::traits<Derived>::ColsAtCompileTime> BasisReturnType; +#endif // not EIGEN_PARSED_BY_DOXYGEN + +#define EIGEN_CURRENT_STORAGE_BASE_CLASS Eigen::MatrixBase +# include "../plugins/CommonCwiseUnaryOps.h" +# include "../plugins/CommonCwiseBinaryOps.h" +# include "../plugins/MatrixCwiseUnaryOps.h" +# include "../plugins/MatrixCwiseBinaryOps.h" +# ifdef EIGEN_MATRIXBASE_PLUGIN +# include EIGEN_MATRIXBASE_PLUGIN +# endif +#undef EIGEN_CURRENT_STORAGE_BASE_CLASS + + /** Special case of the template operator=, in order to prevent the compiler + * from generating a default operator= (issue hit with g++ 4.1) + */ + Derived& operator=(const MatrixBase& other); + + // We cannot inherit here via Base::operator= since it is causing + // trouble with MSVC. + + template <typename OtherDerived> + Derived& operator=(const DenseBase<OtherDerived>& other); + + template <typename OtherDerived> + Derived& operator=(const EigenBase<OtherDerived>& other); + + template<typename OtherDerived> + Derived& operator=(const ReturnByValue<OtherDerived>& other); + + template<typename ProductDerived, typename Lhs, typename Rhs> + Derived& lazyAssign(const ProductBase<ProductDerived, Lhs,Rhs>& other); + + template<typename MatrixPower, typename Lhs, typename Rhs> + Derived& lazyAssign(const MatrixPowerProduct<MatrixPower, Lhs,Rhs>& other); + + template<typename OtherDerived> + Derived& operator+=(const MatrixBase<OtherDerived>& other); + template<typename OtherDerived> + Derived& operator-=(const MatrixBase<OtherDerived>& other); + + template<typename OtherDerived> + const typename ProductReturnType<Derived,OtherDerived>::Type + operator*(const MatrixBase<OtherDerived> &other) const; + + template<typename OtherDerived> + const typename LazyProductReturnType<Derived,OtherDerived>::Type + lazyProduct(const MatrixBase<OtherDerived> &other) const; + + template<typename OtherDerived> + Derived& operator*=(const EigenBase<OtherDerived>& other); + + template<typename OtherDerived> + void applyOnTheLeft(const EigenBase<OtherDerived>& other); + + template<typename OtherDerived> + void applyOnTheRight(const EigenBase<OtherDerived>& other); + + template<typename DiagonalDerived> + const DiagonalProduct<Derived, DiagonalDerived, OnTheRight> + operator*(const DiagonalBase<DiagonalDerived> &diagonal) const; + + template<typename OtherDerived> + typename internal::scalar_product_traits<typename internal::traits<Derived>::Scalar,typename internal::traits<OtherDerived>::Scalar>::ReturnType + dot(const MatrixBase<OtherDerived>& other) const; + + #ifdef EIGEN2_SUPPORT + template<typename OtherDerived> + Scalar eigen2_dot(const MatrixBase<OtherDerived>& other) const; + #endif + + RealScalar squaredNorm() const; + RealScalar norm() const; + RealScalar stableNorm() const; + RealScalar blueNorm() const; + RealScalar hypotNorm() const; + const PlainObject normalized() const; + void normalize(); + + const AdjointReturnType adjoint() const; + void adjointInPlace(); + + typedef Diagonal<Derived> DiagonalReturnType; + DiagonalReturnType diagonal(); + typedef typename internal::add_const<Diagonal<const Derived> >::type ConstDiagonalReturnType; + ConstDiagonalReturnType diagonal() const; + + template<int Index> struct DiagonalIndexReturnType { typedef Diagonal<Derived,Index> Type; }; + template<int Index> struct ConstDiagonalIndexReturnType { typedef const Diagonal<const Derived,Index> Type; }; + + template<int Index> typename DiagonalIndexReturnType<Index>::Type diagonal(); + template<int Index> typename ConstDiagonalIndexReturnType<Index>::Type diagonal() const; + + typedef Diagonal<Derived,DynamicIndex> DiagonalDynamicIndexReturnType; + typedef typename internal::add_const<Diagonal<const Derived,DynamicIndex> >::type ConstDiagonalDynamicIndexReturnType; + + DiagonalDynamicIndexReturnType diagonal(Index index); + ConstDiagonalDynamicIndexReturnType diagonal(Index index) const; + + #ifdef EIGEN2_SUPPORT + template<unsigned int Mode> typename internal::eigen2_part_return_type<Derived, Mode>::type part(); + template<unsigned int Mode> const typename internal::eigen2_part_return_type<Derived, Mode>::type part() const; + + // huuuge hack. make Eigen2's matrix.part<Diagonal>() work in eigen3. Problem: Diagonal is now a class template instead + // of an integer constant. Solution: overload the part() method template wrt template parameters list. + template<template<typename T, int N> class U> + const DiagonalWrapper<ConstDiagonalReturnType> part() const + { return diagonal().asDiagonal(); } + #endif // EIGEN2_SUPPORT + + template<unsigned int Mode> struct TriangularViewReturnType { typedef TriangularView<Derived, Mode> Type; }; + template<unsigned int Mode> struct ConstTriangularViewReturnType { typedef const TriangularView<const Derived, Mode> Type; }; + + template<unsigned int Mode> typename TriangularViewReturnType<Mode>::Type triangularView(); + template<unsigned int Mode> typename ConstTriangularViewReturnType<Mode>::Type triangularView() const; + + template<unsigned int UpLo> struct SelfAdjointViewReturnType { typedef SelfAdjointView<Derived, UpLo> Type; }; + template<unsigned int UpLo> struct ConstSelfAdjointViewReturnType { typedef const SelfAdjointView<const Derived, UpLo> Type; }; + + template<unsigned int UpLo> typename SelfAdjointViewReturnType<UpLo>::Type selfadjointView(); + template<unsigned int UpLo> typename ConstSelfAdjointViewReturnType<UpLo>::Type selfadjointView() const; + + const SparseView<Derived> sparseView(const Scalar& m_reference = Scalar(0), + const typename NumTraits<Scalar>::Real& m_epsilon = NumTraits<Scalar>::dummy_precision()) const; + static const IdentityReturnType Identity(); + static const IdentityReturnType Identity(Index rows, Index cols); + static const BasisReturnType Unit(Index size, Index i); + static const BasisReturnType Unit(Index i); + static const BasisReturnType UnitX(); + static const BasisReturnType UnitY(); + static const BasisReturnType UnitZ(); + static const BasisReturnType UnitW(); + + const DiagonalWrapper<const Derived> asDiagonal() const; + const PermutationWrapper<const Derived> asPermutation() const; + + Derived& setIdentity(); + Derived& setIdentity(Index rows, Index cols); + + bool isIdentity(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; + bool isDiagonal(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; + + bool isUpperTriangular(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; + bool isLowerTriangular(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; + + template<typename OtherDerived> + bool isOrthogonal(const MatrixBase<OtherDerived>& other, + const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; + bool isUnitary(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; + + /** \returns true if each coefficients of \c *this and \a other are all exactly equal. + * \warning When using floating point scalar values you probably should rather use a + * fuzzy comparison such as isApprox() + * \sa isApprox(), operator!= */ + template<typename OtherDerived> + inline bool operator==(const MatrixBase<OtherDerived>& other) const + { return cwiseEqual(other).all(); } + + /** \returns true if at least one pair of coefficients of \c *this and \a other are not exactly equal to each other. + * \warning When using floating point scalar values you probably should rather use a + * fuzzy comparison such as isApprox() + * \sa isApprox(), operator== */ + template<typename OtherDerived> + inline bool operator!=(const MatrixBase<OtherDerived>& other) const + { return cwiseNotEqual(other).any(); } + + NoAlias<Derived,Eigen::MatrixBase > noalias(); + + inline const ForceAlignedAccess<Derived> forceAlignedAccess() const; + inline ForceAlignedAccess<Derived> forceAlignedAccess(); + template<bool Enable> inline typename internal::add_const_on_value_type<typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type>::type forceAlignedAccessIf() const; + template<bool Enable> inline typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type forceAlignedAccessIf(); + + Scalar trace() const; + +/////////// Array module /////////// + + template<int p> RealScalar lpNorm() const; + + MatrixBase<Derived>& matrix() { return *this; } + const MatrixBase<Derived>& matrix() const { return *this; } + + /** \returns an \link Eigen::ArrayBase Array \endlink expression of this matrix + * \sa ArrayBase::matrix() */ + ArrayWrapper<Derived> array() { return derived(); } + const ArrayWrapper<const Derived> array() const { return derived(); } + +/////////// LU module /////////// + + const FullPivLU<PlainObject> fullPivLu() const; + const PartialPivLU<PlainObject> partialPivLu() const; + + #if EIGEN2_SUPPORT_STAGE < STAGE20_RESOLVE_API_CONFLICTS + const LU<PlainObject> lu() const; + #endif + + #ifdef EIGEN2_SUPPORT + const LU<PlainObject> eigen2_lu() const; + #endif + + #if EIGEN2_SUPPORT_STAGE > STAGE20_RESOLVE_API_CONFLICTS + const PartialPivLU<PlainObject> lu() const; + #endif + + #ifdef EIGEN2_SUPPORT + template<typename ResultType> + void computeInverse(MatrixBase<ResultType> *result) const { + *result = this->inverse(); + } + #endif + + const internal::inverse_impl<Derived> inverse() const; + template<typename ResultType> + void computeInverseAndDetWithCheck( + ResultType& inverse, + typename ResultType::Scalar& determinant, + bool& invertible, + const RealScalar& absDeterminantThreshold = NumTraits<Scalar>::dummy_precision() + ) const; + template<typename ResultType> + void computeInverseWithCheck( + ResultType& inverse, + bool& invertible, + const RealScalar& absDeterminantThreshold = NumTraits<Scalar>::dummy_precision() + ) const; + Scalar determinant() const; + +/////////// Cholesky module /////////// + + const LLT<PlainObject> llt() const; + const LDLT<PlainObject> ldlt() const; + +/////////// QR module /////////// + + const HouseholderQR<PlainObject> householderQr() const; + const ColPivHouseholderQR<PlainObject> colPivHouseholderQr() const; + const FullPivHouseholderQR<PlainObject> fullPivHouseholderQr() const; + + #ifdef EIGEN2_SUPPORT + const QR<PlainObject> qr() const; + #endif + + EigenvaluesReturnType eigenvalues() const; + RealScalar operatorNorm() const; + +/////////// SVD module /////////// + + JacobiSVD<PlainObject> jacobiSvd(unsigned int computationOptions = 0) const; + + #ifdef EIGEN2_SUPPORT + SVD<PlainObject> svd() const; + #endif + +/////////// Geometry module /////////// + + #ifndef EIGEN_PARSED_BY_DOXYGEN + /// \internal helper struct to form the return type of the cross product + template<typename OtherDerived> struct cross_product_return_type { + typedef typename internal::scalar_product_traits<typename internal::traits<Derived>::Scalar,typename internal::traits<OtherDerived>::Scalar>::ReturnType Scalar; + typedef Matrix<Scalar,MatrixBase::RowsAtCompileTime,MatrixBase::ColsAtCompileTime> type; + }; + #endif // EIGEN_PARSED_BY_DOXYGEN + template<typename OtherDerived> + typename cross_product_return_type<OtherDerived>::type + cross(const MatrixBase<OtherDerived>& other) const; + template<typename OtherDerived> + PlainObject cross3(const MatrixBase<OtherDerived>& other) const; + PlainObject unitOrthogonal(void) const; + Matrix<Scalar,3,1> eulerAngles(Index a0, Index a1, Index a2) const; + + #if EIGEN2_SUPPORT_STAGE > STAGE20_RESOLVE_API_CONFLICTS + ScalarMultipleReturnType operator*(const UniformScaling<Scalar>& s) const; + // put this as separate enum value to work around possible GCC 4.3 bug (?) + enum { HomogeneousReturnTypeDirection = ColsAtCompileTime==1?Vertical:Horizontal }; + typedef Homogeneous<Derived, HomogeneousReturnTypeDirection> HomogeneousReturnType; + HomogeneousReturnType homogeneous() const; + #endif + + enum { + SizeMinusOne = SizeAtCompileTime==Dynamic ? Dynamic : SizeAtCompileTime-1 + }; + typedef Block<const Derived, + internal::traits<Derived>::ColsAtCompileTime==1 ? SizeMinusOne : 1, + internal::traits<Derived>::ColsAtCompileTime==1 ? 1 : SizeMinusOne> ConstStartMinusOne; + typedef CwiseUnaryOp<internal::scalar_quotient1_op<typename internal::traits<Derived>::Scalar>, + const ConstStartMinusOne > HNormalizedReturnType; + + const HNormalizedReturnType hnormalized() const; + +////////// Householder module /////////// + + void makeHouseholderInPlace(Scalar& tau, RealScalar& beta); + template<typename EssentialPart> + void makeHouseholder(EssentialPart& essential, + Scalar& tau, RealScalar& beta) const; + template<typename EssentialPart> + void applyHouseholderOnTheLeft(const EssentialPart& essential, + const Scalar& tau, + Scalar* workspace); + template<typename EssentialPart> + void applyHouseholderOnTheRight(const EssentialPart& essential, + const Scalar& tau, + Scalar* workspace); + +///////// Jacobi module ///////// + + template<typename OtherScalar> + void applyOnTheLeft(Index p, Index q, const JacobiRotation<OtherScalar>& j); + template<typename OtherScalar> + void applyOnTheRight(Index p, Index q, const JacobiRotation<OtherScalar>& j); + +///////// SparseCore module ///////// + + template<typename OtherDerived> + EIGEN_STRONG_INLINE const typename SparseMatrixBase<OtherDerived>::template CwiseProductDenseReturnType<Derived>::Type + cwiseProduct(const SparseMatrixBase<OtherDerived> &other) const + { + return other.cwiseProduct(derived()); + } + +///////// MatrixFunctions module ///////// + + typedef typename internal::stem_function<Scalar>::type StemFunction; + const MatrixExponentialReturnValue<Derived> exp() const; + const MatrixFunctionReturnValue<Derived> matrixFunction(StemFunction f) const; + const MatrixFunctionReturnValue<Derived> cosh() const; + const MatrixFunctionReturnValue<Derived> sinh() const; + const MatrixFunctionReturnValue<Derived> cos() const; + const MatrixFunctionReturnValue<Derived> sin() const; + const MatrixSquareRootReturnValue<Derived> sqrt() const; + const MatrixLogarithmReturnValue<Derived> log() const; + const MatrixPowerReturnValue<Derived> pow(const RealScalar& p) const; + +#ifdef EIGEN2_SUPPORT + template<typename ProductDerived, typename Lhs, typename Rhs> + Derived& operator+=(const Flagged<ProductBase<ProductDerived, Lhs,Rhs>, 0, + EvalBeforeAssigningBit>& other); + + template<typename ProductDerived, typename Lhs, typename Rhs> + Derived& operator-=(const Flagged<ProductBase<ProductDerived, Lhs,Rhs>, 0, + EvalBeforeAssigningBit>& other); + + /** \deprecated because .lazy() is deprecated + * Overloaded for cache friendly product evaluation */ + template<typename OtherDerived> + Derived& lazyAssign(const Flagged<OtherDerived, 0, EvalBeforeAssigningBit>& other) + { return lazyAssign(other._expression()); } + + template<unsigned int Added> + const Flagged<Derived, Added, 0> marked() const; + const Flagged<Derived, 0, EvalBeforeAssigningBit> lazy() const; + + inline const Cwise<Derived> cwise() const; + inline Cwise<Derived> cwise(); + + VectorBlock<Derived> start(Index size); + const VectorBlock<const Derived> start(Index size) const; + VectorBlock<Derived> end(Index size); + const VectorBlock<const Derived> end(Index size) const; + template<int Size> VectorBlock<Derived,Size> start(); + template<int Size> const VectorBlock<const Derived,Size> start() const; + template<int Size> VectorBlock<Derived,Size> end(); + template<int Size> const VectorBlock<const Derived,Size> end() const; + + Minor<Derived> minor(Index row, Index col); + const Minor<Derived> minor(Index row, Index col) const; +#endif + + protected: + MatrixBase() : Base() {} + + private: + explicit MatrixBase(int); + MatrixBase(int,int); + template<typename OtherDerived> explicit MatrixBase(const MatrixBase<OtherDerived>&); + protected: + // mixing arrays and matrices is not legal + template<typename OtherDerived> Derived& operator+=(const ArrayBase<OtherDerived>& ) + {EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;} + // mixing arrays and matrices is not legal + template<typename OtherDerived> Derived& operator-=(const ArrayBase<OtherDerived>& ) + {EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;} +}; + + +/*************************************************************************** +* Implementation of matrix base methods +***************************************************************************/ + +/** replaces \c *this by \c *this * \a other. + * + * \returns a reference to \c *this + * + * Example: \include MatrixBase_applyOnTheRight.cpp + * Output: \verbinclude MatrixBase_applyOnTheRight.out + */ +template<typename Derived> +template<typename OtherDerived> +inline Derived& +MatrixBase<Derived>::operator*=(const EigenBase<OtherDerived> &other) +{ + other.derived().applyThisOnTheRight(derived()); + return derived(); +} + +/** replaces \c *this by \c *this * \a other. It is equivalent to MatrixBase::operator*=(). + * + * Example: \include MatrixBase_applyOnTheRight.cpp + * Output: \verbinclude MatrixBase_applyOnTheRight.out + */ +template<typename Derived> +template<typename OtherDerived> +inline void MatrixBase<Derived>::applyOnTheRight(const EigenBase<OtherDerived> &other) +{ + other.derived().applyThisOnTheRight(derived()); +} + +/** replaces \c *this by \a other * \c *this. + * + * Example: \include MatrixBase_applyOnTheLeft.cpp + * Output: \verbinclude MatrixBase_applyOnTheLeft.out + */ +template<typename Derived> +template<typename OtherDerived> +inline void MatrixBase<Derived>::applyOnTheLeft(const EigenBase<OtherDerived> &other) +{ + other.derived().applyThisOnTheLeft(derived()); +} + +} // end namespace Eigen + +#endif // EIGEN_MATRIXBASE_H |