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      1 // This file is part of Eigen, a lightweight C++ template library
      2 // for linear algebra.
      3 //
      4 // Copyright (C) 2006-2009 Benoit Jacob <jacob.benoit.1 (at) gmail.com>
      5 // Copyright (C) 2008 Gael Guennebaud <gael.guennebaud (at) inria.fr>
      6 //
      7 // This Source Code Form is subject to the terms of the Mozilla
      8 // Public License v. 2.0. If a copy of the MPL was not distributed
      9 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
     10 
     11 #ifndef EIGEN_MATRIXBASE_H
     12 #define EIGEN_MATRIXBASE_H
     13 
     14 namespace Eigen {
     15 
     16 /** \class MatrixBase
     17   * \ingroup Core_Module
     18   *
     19   * \brief Base class for all dense matrices, vectors, and expressions
     20   *
     21   * This class is the base that is inherited by all matrix, vector, and related expression
     22   * types. Most of the Eigen API is contained in this class, and its base classes. Other important
     23   * classes for the Eigen API are Matrix, and VectorwiseOp.
     24   *
     25   * Note that some methods are defined in other modules such as the \ref LU_Module LU module
     26   * for all functions related to matrix inversions.
     27   *
     28   * \tparam Derived is the derived type, e.g. a matrix type, or an expression, etc.
     29   *
     30   * When writing a function taking Eigen objects as argument, if you want your function
     31   * to take as argument any matrix, vector, or expression, just let it take a
     32   * MatrixBase argument. As an example, here is a function printFirstRow which, given
     33   * a matrix, vector, or expression \a x, prints the first row of \a x.
     34   *
     35   * \code
     36     template<typename Derived>
     37     void printFirstRow(const Eigen::MatrixBase<Derived>& x)
     38     {
     39       cout << x.row(0) << endl;
     40     }
     41   * \endcode
     42   *
     43   * This class can be extended with the help of the plugin mechanism described on the page
     44   * \ref TopicCustomizingEigen by defining the preprocessor symbol \c EIGEN_MATRIXBASE_PLUGIN.
     45   *
     46   * \sa \ref TopicClassHierarchy
     47   */
     48 template<typename Derived> class MatrixBase
     49   : public DenseBase<Derived>
     50 {
     51   public:
     52 #ifndef EIGEN_PARSED_BY_DOXYGEN
     53     typedef MatrixBase StorageBaseType;
     54     typedef typename internal::traits<Derived>::StorageKind StorageKind;
     55     typedef typename internal::traits<Derived>::Index Index;
     56     typedef typename internal::traits<Derived>::Scalar Scalar;
     57     typedef typename internal::packet_traits<Scalar>::type PacketScalar;
     58     typedef typename NumTraits<Scalar>::Real RealScalar;
     59 
     60     typedef DenseBase<Derived> Base;
     61     using Base::RowsAtCompileTime;
     62     using Base::ColsAtCompileTime;
     63     using Base::SizeAtCompileTime;
     64     using Base::MaxRowsAtCompileTime;
     65     using Base::MaxColsAtCompileTime;
     66     using Base::MaxSizeAtCompileTime;
     67     using Base::IsVectorAtCompileTime;
     68     using Base::Flags;
     69     using Base::CoeffReadCost;
     70 
     71     using Base::derived;
     72     using Base::const_cast_derived;
     73     using Base::rows;
     74     using Base::cols;
     75     using Base::size;
     76     using Base::coeff;
     77     using Base::coeffRef;
     78     using Base::lazyAssign;
     79     using Base::eval;
     80     using Base::operator+=;
     81     using Base::operator-=;
     82     using Base::operator*=;
     83     using Base::operator/=;
     84 
     85     typedef typename Base::CoeffReturnType CoeffReturnType;
     86     typedef typename Base::ConstTransposeReturnType ConstTransposeReturnType;
     87     typedef typename Base::RowXpr RowXpr;
     88     typedef typename Base::ColXpr ColXpr;
     89 #endif // not EIGEN_PARSED_BY_DOXYGEN
     90 
     91 
     92 
     93 #ifndef EIGEN_PARSED_BY_DOXYGEN
     94     /** type of the equivalent square matrix */
     95     typedef Matrix<Scalar,EIGEN_SIZE_MAX(RowsAtCompileTime,ColsAtCompileTime),
     96                           EIGEN_SIZE_MAX(RowsAtCompileTime,ColsAtCompileTime)> SquareMatrixType;
     97 #endif // not EIGEN_PARSED_BY_DOXYGEN
     98 
     99     /** \returns the size of the main diagonal, which is min(rows(),cols()).
    100       * \sa rows(), cols(), SizeAtCompileTime. */
    101     inline Index diagonalSize() const { return (std::min)(rows(),cols()); }
    102 
    103     /** \brief The plain matrix type corresponding to this expression.
    104       *
    105       * This is not necessarily exactly the return type of eval(). In the case of plain matrices,
    106       * the return type of eval() is a const reference to a matrix, not a matrix! It is however guaranteed
    107       * that the return type of eval() is either PlainObject or const PlainObject&.
    108       */
    109     typedef Matrix<typename internal::traits<Derived>::Scalar,
    110                 internal::traits<Derived>::RowsAtCompileTime,
    111                 internal::traits<Derived>::ColsAtCompileTime,
    112                 AutoAlign | (internal::traits<Derived>::Flags&RowMajorBit ? RowMajor : ColMajor),
    113                 internal::traits<Derived>::MaxRowsAtCompileTime,
    114                 internal::traits<Derived>::MaxColsAtCompileTime
    115           > PlainObject;
    116 
    117 #ifndef EIGEN_PARSED_BY_DOXYGEN
    118     /** \internal Represents a matrix with all coefficients equal to one another*/
    119     typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,Derived> ConstantReturnType;
    120     /** \internal the return type of MatrixBase::adjoint() */
    121     typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
    122                         CwiseUnaryOp<internal::scalar_conjugate_op<Scalar>, ConstTransposeReturnType>,
    123                         ConstTransposeReturnType
    124                      >::type AdjointReturnType;
    125     /** \internal Return type of eigenvalues() */
    126     typedef Matrix<std::complex<RealScalar>, internal::traits<Derived>::ColsAtCompileTime, 1, ColMajor> EigenvaluesReturnType;
    127     /** \internal the return type of identity */
    128     typedef CwiseNullaryOp<internal::scalar_identity_op<Scalar>,Derived> IdentityReturnType;
    129     /** \internal the return type of unit vectors */
    130     typedef Block<const CwiseNullaryOp<internal::scalar_identity_op<Scalar>, SquareMatrixType>,
    131                   internal::traits<Derived>::RowsAtCompileTime,
    132                   internal::traits<Derived>::ColsAtCompileTime> BasisReturnType;
    133 #endif // not EIGEN_PARSED_BY_DOXYGEN
    134 
    135 #define EIGEN_CURRENT_STORAGE_BASE_CLASS Eigen::MatrixBase
    136 #   include "../plugins/CommonCwiseUnaryOps.h"
    137 #   include "../plugins/CommonCwiseBinaryOps.h"
    138 #   include "../plugins/MatrixCwiseUnaryOps.h"
    139 #   include "../plugins/MatrixCwiseBinaryOps.h"
    140 #   ifdef EIGEN_MATRIXBASE_PLUGIN
    141 #     include EIGEN_MATRIXBASE_PLUGIN
    142 #   endif
    143 #undef EIGEN_CURRENT_STORAGE_BASE_CLASS
    144 
    145     /** Special case of the template operator=, in order to prevent the compiler
    146       * from generating a default operator= (issue hit with g++ 4.1)
    147       */
    148     Derived& operator=(const MatrixBase& other);
    149 
    150     // We cannot inherit here via Base::operator= since it is causing
    151     // trouble with MSVC.
    152 
    153     template <typename OtherDerived>
    154     Derived& operator=(const DenseBase<OtherDerived>& other);
    155 
    156     template <typename OtherDerived>
    157     Derived& operator=(const EigenBase<OtherDerived>& other);
    158 
    159     template<typename OtherDerived>
    160     Derived& operator=(const ReturnByValue<OtherDerived>& other);
    161 
    162     template<typename ProductDerived, typename Lhs, typename Rhs>
    163     Derived& lazyAssign(const ProductBase<ProductDerived, Lhs,Rhs>& other);
    164 
    165     template<typename MatrixPower, typename Lhs, typename Rhs>
    166     Derived& lazyAssign(const MatrixPowerProduct<MatrixPower, Lhs,Rhs>& other);
    167 
    168     template<typename OtherDerived>
    169     Derived& operator+=(const MatrixBase<OtherDerived>& other);
    170     template<typename OtherDerived>
    171     Derived& operator-=(const MatrixBase<OtherDerived>& other);
    172 
    173     template<typename OtherDerived>
    174     const typename ProductReturnType<Derived,OtherDerived>::Type
    175     operator*(const MatrixBase<OtherDerived> &other) const;
    176 
    177     template<typename OtherDerived>
    178     const typename LazyProductReturnType<Derived,OtherDerived>::Type
    179     lazyProduct(const MatrixBase<OtherDerived> &other) const;
    180 
    181     template<typename OtherDerived>
    182     Derived& operator*=(const EigenBase<OtherDerived>& other);
    183 
    184     template<typename OtherDerived>
    185     void applyOnTheLeft(const EigenBase<OtherDerived>& other);
    186 
    187     template<typename OtherDerived>
    188     void applyOnTheRight(const EigenBase<OtherDerived>& other);
    189 
    190     template<typename DiagonalDerived>
    191     const DiagonalProduct<Derived, DiagonalDerived, OnTheRight>
    192     operator*(const DiagonalBase<DiagonalDerived> &diagonal) const;
    193 
    194     template<typename OtherDerived>
    195     typename internal::scalar_product_traits<typename internal::traits<Derived>::Scalar,typename internal::traits<OtherDerived>::Scalar>::ReturnType
    196     dot(const MatrixBase<OtherDerived>& other) const;
    197 
    198     #ifdef EIGEN2_SUPPORT
    199       template<typename OtherDerived>
    200       Scalar eigen2_dot(const MatrixBase<OtherDerived>& other) const;
    201     #endif
    202 
    203     RealScalar squaredNorm() const;
    204     RealScalar norm() const;
    205     RealScalar stableNorm() const;
    206     RealScalar blueNorm() const;
    207     RealScalar hypotNorm() const;
    208     const PlainObject normalized() const;
    209     void normalize();
    210 
    211     const AdjointReturnType adjoint() const;
    212     void adjointInPlace();
    213 
    214     typedef Diagonal<Derived> DiagonalReturnType;
    215     DiagonalReturnType diagonal();
    216     typedef typename internal::add_const<Diagonal<const Derived> >::type ConstDiagonalReturnType;
    217     ConstDiagonalReturnType diagonal() const;
    218 
    219     template<int Index> struct DiagonalIndexReturnType { typedef Diagonal<Derived,Index> Type; };
    220     template<int Index> struct ConstDiagonalIndexReturnType { typedef const Diagonal<const Derived,Index> Type; };
    221 
    222     template<int Index> typename DiagonalIndexReturnType<Index>::Type diagonal();
    223     template<int Index> typename ConstDiagonalIndexReturnType<Index>::Type diagonal() const;
    224 
    225     typedef Diagonal<Derived,DynamicIndex> DiagonalDynamicIndexReturnType;
    226     typedef typename internal::add_const<Diagonal<const Derived,DynamicIndex> >::type ConstDiagonalDynamicIndexReturnType;
    227 
    228     DiagonalDynamicIndexReturnType diagonal(Index index);
    229     ConstDiagonalDynamicIndexReturnType diagonal(Index index) const;
    230 
    231     #ifdef EIGEN2_SUPPORT
    232     template<unsigned int Mode> typename internal::eigen2_part_return_type<Derived, Mode>::type part();
    233     template<unsigned int Mode> const typename internal::eigen2_part_return_type<Derived, Mode>::type part() const;
    234 
    235     // huuuge hack. make Eigen2's matrix.part<Diagonal>() work in eigen3. Problem: Diagonal is now a class template instead
    236     // of an integer constant. Solution: overload the part() method template wrt template parameters list.
    237     template<template<typename T, int N> class U>
    238     const DiagonalWrapper<ConstDiagonalReturnType> part() const
    239     { return diagonal().asDiagonal(); }
    240     #endif // EIGEN2_SUPPORT
    241 
    242     template<unsigned int Mode> struct TriangularViewReturnType { typedef TriangularView<Derived, Mode> Type; };
    243     template<unsigned int Mode> struct ConstTriangularViewReturnType { typedef const TriangularView<const Derived, Mode> Type; };
    244 
    245     template<unsigned int Mode> typename TriangularViewReturnType<Mode>::Type triangularView();
    246     template<unsigned int Mode> typename ConstTriangularViewReturnType<Mode>::Type triangularView() const;
    247 
    248     template<unsigned int UpLo> struct SelfAdjointViewReturnType { typedef SelfAdjointView<Derived, UpLo> Type; };
    249     template<unsigned int UpLo> struct ConstSelfAdjointViewReturnType { typedef const SelfAdjointView<const Derived, UpLo> Type; };
    250 
    251     template<unsigned int UpLo> typename SelfAdjointViewReturnType<UpLo>::Type selfadjointView();
    252     template<unsigned int UpLo> typename ConstSelfAdjointViewReturnType<UpLo>::Type selfadjointView() const;
    253 
    254     const SparseView<Derived> sparseView(const Scalar& m_reference = Scalar(0),
    255                                          const typename NumTraits<Scalar>::Real& m_epsilon = NumTraits<Scalar>::dummy_precision()) const;
    256     static const IdentityReturnType Identity();
    257     static const IdentityReturnType Identity(Index rows, Index cols);
    258     static const BasisReturnType Unit(Index size, Index i);
    259     static const BasisReturnType Unit(Index i);
    260     static const BasisReturnType UnitX();
    261     static const BasisReturnType UnitY();
    262     static const BasisReturnType UnitZ();
    263     static const BasisReturnType UnitW();
    264 
    265     const DiagonalWrapper<const Derived> asDiagonal() const;
    266     const PermutationWrapper<const Derived> asPermutation() const;
    267 
    268     Derived& setIdentity();
    269     Derived& setIdentity(Index rows, Index cols);
    270 
    271     bool isIdentity(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
    272     bool isDiagonal(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
    273 
    274     bool isUpperTriangular(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
    275     bool isLowerTriangular(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
    276 
    277     template<typename OtherDerived>
    278     bool isOrthogonal(const MatrixBase<OtherDerived>& other,
    279                       const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
    280     bool isUnitary(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
    281 
    282     /** \returns true if each coefficients of \c *this and \a other are all exactly equal.
    283       * \warning When using floating point scalar values you probably should rather use a
    284       *          fuzzy comparison such as isApprox()
    285       * \sa isApprox(), operator!= */
    286     template<typename OtherDerived>
    287     inline bool operator==(const MatrixBase<OtherDerived>& other) const
    288     { return cwiseEqual(other).all(); }
    289 
    290     /** \returns true if at least one pair of coefficients of \c *this and \a other are not exactly equal to each other.
    291       * \warning When using floating point scalar values you probably should rather use a
    292       *          fuzzy comparison such as isApprox()
    293       * \sa isApprox(), operator== */
    294     template<typename OtherDerived>
    295     inline bool operator!=(const MatrixBase<OtherDerived>& other) const
    296     { return cwiseNotEqual(other).any(); }
    297 
    298     NoAlias<Derived,Eigen::MatrixBase > noalias();
    299 
    300     inline const ForceAlignedAccess<Derived> forceAlignedAccess() const;
    301     inline ForceAlignedAccess<Derived> forceAlignedAccess();
    302     template<bool Enable> inline typename internal::add_const_on_value_type<typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type>::type forceAlignedAccessIf() const;
    303     template<bool Enable> inline typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type forceAlignedAccessIf();
    304 
    305     Scalar trace() const;
    306 
    307 /////////// Array module ///////////
    308 
    309     template<int p> RealScalar lpNorm() const;
    310 
    311     MatrixBase<Derived>& matrix() { return *this; }
    312     const MatrixBase<Derived>& matrix() const { return *this; }
    313 
    314     /** \returns an \link Eigen::ArrayBase Array \endlink expression of this matrix
    315       * \sa ArrayBase::matrix() */
    316     ArrayWrapper<Derived> array() { return derived(); }
    317     const ArrayWrapper<const Derived> array() const { return derived(); }
    318 
    319 /////////// LU module ///////////
    320 
    321     const FullPivLU<PlainObject> fullPivLu() const;
    322     const PartialPivLU<PlainObject> partialPivLu() const;
    323 
    324     #if EIGEN2_SUPPORT_STAGE < STAGE20_RESOLVE_API_CONFLICTS
    325     const LU<PlainObject> lu() const;
    326     #endif
    327 
    328     #ifdef EIGEN2_SUPPORT
    329     const LU<PlainObject> eigen2_lu() const;
    330     #endif
    331 
    332     #if EIGEN2_SUPPORT_STAGE > STAGE20_RESOLVE_API_CONFLICTS
    333     const PartialPivLU<PlainObject> lu() const;
    334     #endif
    335 
    336     #ifdef EIGEN2_SUPPORT
    337     template<typename ResultType>
    338     void computeInverse(MatrixBase<ResultType> *result) const {
    339       *result = this->inverse();
    340     }
    341     #endif
    342 
    343     const internal::inverse_impl<Derived> inverse() const;
    344     template<typename ResultType>
    345     void computeInverseAndDetWithCheck(
    346       ResultType& inverse,
    347       typename ResultType::Scalar& determinant,
    348       bool& invertible,
    349       const RealScalar& absDeterminantThreshold = NumTraits<Scalar>::dummy_precision()
    350     ) const;
    351     template<typename ResultType>
    352     void computeInverseWithCheck(
    353       ResultType& inverse,
    354       bool& invertible,
    355       const RealScalar& absDeterminantThreshold = NumTraits<Scalar>::dummy_precision()
    356     ) const;
    357     Scalar determinant() const;
    358 
    359 /////////// Cholesky module ///////////
    360 
    361     const LLT<PlainObject>  llt() const;
    362     const LDLT<PlainObject> ldlt() const;
    363 
    364 /////////// QR module ///////////
    365 
    366     const HouseholderQR<PlainObject> householderQr() const;
    367     const ColPivHouseholderQR<PlainObject> colPivHouseholderQr() const;
    368     const FullPivHouseholderQR<PlainObject> fullPivHouseholderQr() const;
    369 
    370     #ifdef EIGEN2_SUPPORT
    371     const QR<PlainObject> qr() const;
    372     #endif
    373 
    374     EigenvaluesReturnType eigenvalues() const;
    375     RealScalar operatorNorm() const;
    376 
    377 /////////// SVD module ///////////
    378 
    379     JacobiSVD<PlainObject> jacobiSvd(unsigned int computationOptions = 0) const;
    380 
    381     #ifdef EIGEN2_SUPPORT
    382     SVD<PlainObject> svd() const;
    383     #endif
    384 
    385 /////////// Geometry module ///////////
    386 
    387     #ifndef EIGEN_PARSED_BY_DOXYGEN
    388     /// \internal helper struct to form the return type of the cross product
    389     template<typename OtherDerived> struct cross_product_return_type {
    390       typedef typename internal::scalar_product_traits<typename internal::traits<Derived>::Scalar,typename internal::traits<OtherDerived>::Scalar>::ReturnType Scalar;
    391       typedef Matrix<Scalar,MatrixBase::RowsAtCompileTime,MatrixBase::ColsAtCompileTime> type;
    392     };
    393     #endif // EIGEN_PARSED_BY_DOXYGEN
    394     template<typename OtherDerived>
    395     typename cross_product_return_type<OtherDerived>::type
    396     cross(const MatrixBase<OtherDerived>& other) const;
    397     template<typename OtherDerived>
    398     PlainObject cross3(const MatrixBase<OtherDerived>& other) const;
    399     PlainObject unitOrthogonal(void) const;
    400     Matrix<Scalar,3,1> eulerAngles(Index a0, Index a1, Index a2) const;
    401 
    402     #if EIGEN2_SUPPORT_STAGE > STAGE20_RESOLVE_API_CONFLICTS
    403     ScalarMultipleReturnType operator*(const UniformScaling<Scalar>& s) const;
    404     // put this as separate enum value to work around possible GCC 4.3 bug (?)
    405     enum { HomogeneousReturnTypeDirection = ColsAtCompileTime==1?Vertical:Horizontal };
    406     typedef Homogeneous<Derived, HomogeneousReturnTypeDirection> HomogeneousReturnType;
    407     HomogeneousReturnType homogeneous() const;
    408     #endif
    409 
    410     enum {
    411       SizeMinusOne = SizeAtCompileTime==Dynamic ? Dynamic : SizeAtCompileTime-1
    412     };
    413     typedef Block<const Derived,
    414                   internal::traits<Derived>::ColsAtCompileTime==1 ? SizeMinusOne : 1,
    415                   internal::traits<Derived>::ColsAtCompileTime==1 ? 1 : SizeMinusOne> ConstStartMinusOne;
    416     typedef CwiseUnaryOp<internal::scalar_quotient1_op<typename internal::traits<Derived>::Scalar>,
    417                 const ConstStartMinusOne > HNormalizedReturnType;
    418 
    419     const HNormalizedReturnType hnormalized() const;
    420 
    421 ////////// Householder module ///////////
    422 
    423     void makeHouseholderInPlace(Scalar& tau, RealScalar& beta);
    424     template<typename EssentialPart>
    425     void makeHouseholder(EssentialPart& essential,
    426                          Scalar& tau, RealScalar& beta) const;
    427     template<typename EssentialPart>
    428     void applyHouseholderOnTheLeft(const EssentialPart& essential,
    429                                    const Scalar& tau,
    430                                    Scalar* workspace);
    431     template<typename EssentialPart>
    432     void applyHouseholderOnTheRight(const EssentialPart& essential,
    433                                     const Scalar& tau,
    434                                     Scalar* workspace);
    435 
    436 ///////// Jacobi module /////////
    437 
    438     template<typename OtherScalar>
    439     void applyOnTheLeft(Index p, Index q, const JacobiRotation<OtherScalar>& j);
    440     template<typename OtherScalar>
    441     void applyOnTheRight(Index p, Index q, const JacobiRotation<OtherScalar>& j);
    442 
    443 ///////// MatrixFunctions module /////////
    444 
    445     typedef typename internal::stem_function<Scalar>::type StemFunction;
    446     const MatrixExponentialReturnValue<Derived> exp() const;
    447     const MatrixFunctionReturnValue<Derived> matrixFunction(StemFunction f) const;
    448     const MatrixFunctionReturnValue<Derived> cosh() const;
    449     const MatrixFunctionReturnValue<Derived> sinh() const;
    450     const MatrixFunctionReturnValue<Derived> cos() const;
    451     const MatrixFunctionReturnValue<Derived> sin() const;
    452     const MatrixSquareRootReturnValue<Derived> sqrt() const;
    453     const MatrixLogarithmReturnValue<Derived> log() const;
    454     const MatrixPowerReturnValue<Derived> pow(const RealScalar& p) const;
    455 
    456 #ifdef EIGEN2_SUPPORT
    457     template<typename ProductDerived, typename Lhs, typename Rhs>
    458     Derived& operator+=(const Flagged<ProductBase<ProductDerived, Lhs,Rhs>, 0,
    459                                       EvalBeforeAssigningBit>& other);
    460 
    461     template<typename ProductDerived, typename Lhs, typename Rhs>
    462     Derived& operator-=(const Flagged<ProductBase<ProductDerived, Lhs,Rhs>, 0,
    463                                       EvalBeforeAssigningBit>& other);
    464 
    465     /** \deprecated because .lazy() is deprecated
    466       * Overloaded for cache friendly product evaluation */
    467     template<typename OtherDerived>
    468     Derived& lazyAssign(const Flagged<OtherDerived, 0, EvalBeforeAssigningBit>& other)
    469     { return lazyAssign(other._expression()); }
    470 
    471     template<unsigned int Added>
    472     const Flagged<Derived, Added, 0> marked() const;
    473     const Flagged<Derived, 0, EvalBeforeAssigningBit> lazy() const;
    474 
    475     inline const Cwise<Derived> cwise() const;
    476     inline Cwise<Derived> cwise();
    477 
    478     VectorBlock<Derived> start(Index size);
    479     const VectorBlock<const Derived> start(Index size) const;
    480     VectorBlock<Derived> end(Index size);
    481     const VectorBlock<const Derived> end(Index size) const;
    482     template<int Size> VectorBlock<Derived,Size> start();
    483     template<int Size> const VectorBlock<const Derived,Size> start() const;
    484     template<int Size> VectorBlock<Derived,Size> end();
    485     template<int Size> const VectorBlock<const Derived,Size> end() const;
    486 
    487     Minor<Derived> minor(Index row, Index col);
    488     const Minor<Derived> minor(Index row, Index col) const;
    489 #endif
    490 
    491   protected:
    492     MatrixBase() : Base() {}
    493 
    494   private:
    495     explicit MatrixBase(int);
    496     MatrixBase(int,int);
    497     template<typename OtherDerived> explicit MatrixBase(const MatrixBase<OtherDerived>&);
    498   protected:
    499     // mixing arrays and matrices is not legal
    500     template<typename OtherDerived> Derived& operator+=(const ArrayBase<OtherDerived>& )
    501     {EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}
    502     // mixing arrays and matrices is not legal
    503     template<typename OtherDerived> Derived& operator-=(const ArrayBase<OtherDerived>& )
    504     {EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}
    505 };
    506 
    507 
    508 /***************************************************************************
    509 * Implementation of matrix base methods
    510 ***************************************************************************/
    511 
    512 /** replaces \c *this by \c *this * \a other.
    513   *
    514   * \returns a reference to \c *this
    515   *
    516   * Example: \include MatrixBase_applyOnTheRight.cpp
    517   * Output: \verbinclude MatrixBase_applyOnTheRight.out
    518   */
    519 template<typename Derived>
    520 template<typename OtherDerived>
    521 inline Derived&
    522 MatrixBase<Derived>::operator*=(const EigenBase<OtherDerived> &other)
    523 {
    524   other.derived().applyThisOnTheRight(derived());
    525   return derived();
    526 }
    527 
    528 /** replaces \c *this by \c *this * \a other. It is equivalent to MatrixBase::operator*=().
    529   *
    530   * Example: \include MatrixBase_applyOnTheRight.cpp
    531   * Output: \verbinclude MatrixBase_applyOnTheRight.out
    532   */
    533 template<typename Derived>
    534 template<typename OtherDerived>
    535 inline void MatrixBase<Derived>::applyOnTheRight(const EigenBase<OtherDerived> &other)
    536 {
    537   other.derived().applyThisOnTheRight(derived());
    538 }
    539 
    540 /** replaces \c *this by \a other * \c *this.
    541   *
    542   * Example: \include MatrixBase_applyOnTheLeft.cpp
    543   * Output: \verbinclude MatrixBase_applyOnTheLeft.out
    544   */
    545 template<typename Derived>
    546 template<typename OtherDerived>
    547 inline void MatrixBase<Derived>::applyOnTheLeft(const EigenBase<OtherDerived> &other)
    548 {
    549   other.derived().applyThisOnTheLeft(derived());
    550 }
    551 
    552 } // end namespace Eigen
    553 
    554 #endif // EIGEN_MATRIXBASE_H
    555