| // This file is part of Eigen, a lightweight C++ template library |
| // for linear algebra. |
| // |
| // Copyright (C) 2008-2014 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_SPARSEMATRIXBASE_H |
| #define EIGEN_SPARSEMATRIXBASE_H |
| |
| namespace Eigen { |
| |
| /** \ingroup SparseCore_Module |
| * |
| * \class SparseMatrixBase |
| * |
| * \brief Base class of any sparse matrices or sparse expressions |
| * |
| * \tparam Derived is the derived type, e.g. a sparse matrix type, or an expression, etc. |
| * |
| * This class can be extended with the help of the plugin mechanism described on the page |
| * \ref TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_SPARSEMATRIXBASE_PLUGIN. |
| */ |
| template<typename Derived> class SparseMatrixBase |
| : public EigenBase<Derived> |
| { |
| public: |
| |
| typedef typename internal::traits<Derived>::Scalar Scalar; |
| |
| /** The numeric type of the expression' coefficients, e.g. float, double, int or std::complex<float>, etc. |
| * |
| * It is an alias for the Scalar type */ |
| typedef Scalar value_type; |
| |
| typedef typename internal::packet_traits<Scalar>::type PacketScalar; |
| typedef typename internal::traits<Derived>::StorageKind StorageKind; |
| |
| /** The integer type used to \b store indices within a SparseMatrix. |
| * For a \c SparseMatrix<Scalar,Options,IndexType> it an alias of the third template parameter \c IndexType. */ |
| typedef typename internal::traits<Derived>::StorageIndex StorageIndex; |
| |
| typedef typename internal::add_const_on_value_type_if_arithmetic< |
| typename internal::packet_traits<Scalar>::type |
| >::type PacketReturnType; |
| |
| typedef SparseMatrixBase StorageBaseType; |
| |
| typedef Matrix<StorageIndex,Dynamic,1> IndexVector; |
| typedef Matrix<Scalar,Dynamic,1> ScalarVector; |
| |
| template<typename OtherDerived> |
| Derived& operator=(const EigenBase<OtherDerived> &other); |
| |
| enum { |
| |
| RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime, |
| /**< The number of rows at compile-time. This is just a copy of the value provided |
| * by the \a Derived type. If a value is not known at compile-time, |
| * it is set to the \a Dynamic constant. |
| * \sa MatrixBase::rows(), MatrixBase::cols(), ColsAtCompileTime, SizeAtCompileTime */ |
| |
| ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime, |
| /**< The number of columns at compile-time. This is just a copy of the value provided |
| * by the \a Derived type. If a value is not known at compile-time, |
| * it is set to the \a Dynamic constant. |
| * \sa MatrixBase::rows(), MatrixBase::cols(), RowsAtCompileTime, SizeAtCompileTime */ |
| |
| |
| SizeAtCompileTime = (internal::size_at_compile_time<internal::traits<Derived>::RowsAtCompileTime, |
| internal::traits<Derived>::ColsAtCompileTime>::ret), |
| /**< This is equal to the number of coefficients, i.e. the number of |
| * rows times the number of columns, or to \a Dynamic if this is not |
| * known at compile-time. \sa RowsAtCompileTime, ColsAtCompileTime */ |
| |
| MaxRowsAtCompileTime = RowsAtCompileTime, |
| MaxColsAtCompileTime = ColsAtCompileTime, |
| |
| MaxSizeAtCompileTime = (internal::size_at_compile_time<MaxRowsAtCompileTime, |
| MaxColsAtCompileTime>::ret), |
| |
| IsVectorAtCompileTime = RowsAtCompileTime == 1 || ColsAtCompileTime == 1, |
| /**< This is set to true if either the number of rows or the number of |
| * columns is known at compile-time to be equal to 1. Indeed, in that case, |
| * we are dealing with a column-vector (if there is only one column) or with |
| * a row-vector (if there is only one row). */ |
| |
| NumDimensions = int(MaxSizeAtCompileTime) == 1 ? 0 : bool(IsVectorAtCompileTime) ? 1 : 2, |
| /**< This value is equal to Tensor::NumDimensions, i.e. 0 for scalars, 1 for vectors, |
| * and 2 for matrices. |
| */ |
| |
| Flags = internal::traits<Derived>::Flags, |
| /**< This stores expression \ref flags flags which may or may not be inherited by new expressions |
| * constructed from this one. See the \ref flags "list of flags". |
| */ |
| |
| IsRowMajor = Flags&RowMajorBit ? 1 : 0, |
| |
| InnerSizeAtCompileTime = int(IsVectorAtCompileTime) ? int(SizeAtCompileTime) |
| : int(IsRowMajor) ? int(ColsAtCompileTime) : int(RowsAtCompileTime), |
| |
| #ifndef EIGEN_PARSED_BY_DOXYGEN |
| _HasDirectAccess = (int(Flags)&DirectAccessBit) ? 1 : 0 // workaround sunCC |
| #endif |
| }; |
| |
| /** \internal the return type of MatrixBase::adjoint() */ |
| typedef typename internal::conditional<NumTraits<Scalar>::IsComplex, |
| CwiseUnaryOp<internal::scalar_conjugate_op<Scalar>, Eigen::Transpose<const Derived> >, |
| Transpose<const Derived> |
| >::type AdjointReturnType; |
| typedef Transpose<Derived> TransposeReturnType; |
| typedef typename internal::add_const<Transpose<const Derived> >::type ConstTransposeReturnType; |
| |
| // FIXME storage order do not match evaluator storage order |
| typedef SparseMatrix<Scalar, Flags&RowMajorBit ? RowMajor : ColMajor, StorageIndex> PlainObject; |
| |
| #ifndef EIGEN_PARSED_BY_DOXYGEN |
| /** This is the "real scalar" type; if the \a Scalar type is already real numbers |
| * (e.g. int, float or double) then \a RealScalar is just the same as \a Scalar. If |
| * \a Scalar is \a std::complex<T> then RealScalar is \a T. |
| * |
| * \sa class NumTraits |
| */ |
| typedef typename NumTraits<Scalar>::Real RealScalar; |
| |
| /** \internal the return type of coeff() |
| */ |
| typedef typename internal::conditional<_HasDirectAccess, const Scalar&, Scalar>::type CoeffReturnType; |
| |
| /** \internal Represents a matrix with all coefficients equal to one another*/ |
| typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,Matrix<Scalar,Dynamic,Dynamic> > ConstantReturnType; |
| |
| /** type of the equivalent dense matrix */ |
| typedef Matrix<Scalar,RowsAtCompileTime,ColsAtCompileTime> DenseMatrixType; |
| /** type of the equivalent square matrix */ |
| typedef Matrix<Scalar,EIGEN_SIZE_MAX(RowsAtCompileTime,ColsAtCompileTime), |
| EIGEN_SIZE_MAX(RowsAtCompileTime,ColsAtCompileTime)> SquareMatrixType; |
| |
| inline const Derived& derived() const { return *static_cast<const Derived*>(this); } |
| inline Derived& derived() { return *static_cast<Derived*>(this); } |
| inline Derived& const_cast_derived() const |
| { return *static_cast<Derived*>(const_cast<SparseMatrixBase*>(this)); } |
| |
| typedef EigenBase<Derived> Base; |
| |
| #endif // not EIGEN_PARSED_BY_DOXYGEN |
| |
| #define EIGEN_CURRENT_STORAGE_BASE_CLASS Eigen::SparseMatrixBase |
| #ifdef EIGEN_PARSED_BY_DOXYGEN |
| #define EIGEN_DOC_UNARY_ADDONS(METHOD,OP) /** <p>This method does not change the sparsity of \c *this: the OP is applied to explicitly stored coefficients only. \sa SparseCompressedBase::coeffs() </p> */ |
| #define EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL /** <p> \warning This method returns a read-only expression for any sparse matrices. \sa \ref TutorialSparse_SubMatrices "Sparse block operations" </p> */ |
| #define EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(COND) /** <p> \warning This method returns a read-write expression for COND sparse matrices only. Otherwise, the returned expression is read-only. \sa \ref TutorialSparse_SubMatrices "Sparse block operations" </p> */ |
| #else |
| #define EIGEN_DOC_UNARY_ADDONS(X,Y) |
| #define EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL |
| #define EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(COND) |
| #endif |
| # include "../plugins/CommonCwiseUnaryOps.h" |
| # include "../plugins/CommonCwiseBinaryOps.h" |
| # include "../plugins/MatrixCwiseUnaryOps.h" |
| # include "../plugins/MatrixCwiseBinaryOps.h" |
| # include "../plugins/BlockMethods.h" |
| # ifdef EIGEN_SPARSEMATRIXBASE_PLUGIN |
| # include EIGEN_SPARSEMATRIXBASE_PLUGIN |
| # endif |
| #undef EIGEN_CURRENT_STORAGE_BASE_CLASS |
| #undef EIGEN_DOC_UNARY_ADDONS |
| #undef EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL |
| #undef EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF |
| |
| /** \returns the number of rows. \sa cols() */ |
| inline Index rows() const { return derived().rows(); } |
| /** \returns the number of columns. \sa rows() */ |
| inline Index cols() const { return derived().cols(); } |
| /** \returns the number of coefficients, which is \a rows()*cols(). |
| * \sa rows(), cols(). */ |
| inline Index size() const { return rows() * cols(); } |
| /** \returns true if either the number of rows or the number of columns is equal to 1. |
| * In other words, this function returns |
| * \code rows()==1 || cols()==1 \endcode |
| * \sa rows(), cols(), IsVectorAtCompileTime. */ |
| inline bool isVector() const { return rows()==1 || cols()==1; } |
| /** \returns the size of the storage major dimension, |
| * i.e., the number of columns for a columns major matrix, and the number of rows otherwise */ |
| Index outerSize() const { return (int(Flags)&RowMajorBit) ? this->rows() : this->cols(); } |
| /** \returns the size of the inner dimension according to the storage order, |
| * i.e., the number of rows for a columns major matrix, and the number of cols otherwise */ |
| Index innerSize() const { return (int(Flags)&RowMajorBit) ? this->cols() : this->rows(); } |
| |
| bool isRValue() const { return m_isRValue; } |
| Derived& markAsRValue() { m_isRValue = true; return derived(); } |
| |
| SparseMatrixBase() : m_isRValue(false) { /* TODO check flags */ } |
| |
| |
| template<typename OtherDerived> |
| Derived& operator=(const ReturnByValue<OtherDerived>& other); |
| |
| template<typename OtherDerived> |
| inline Derived& operator=(const SparseMatrixBase<OtherDerived>& other); |
| |
| inline Derived& operator=(const Derived& other); |
| |
| protected: |
| |
| template<typename OtherDerived> |
| inline Derived& assign(const OtherDerived& other); |
| |
| template<typename OtherDerived> |
| inline void assignGeneric(const OtherDerived& other); |
| |
| public: |
| |
| friend std::ostream & operator << (std::ostream & s, const SparseMatrixBase& m) |
| { |
| typedef typename Derived::Nested Nested; |
| typedef typename internal::remove_all<Nested>::type NestedCleaned; |
| |
| if (Flags&RowMajorBit) |
| { |
| Nested nm(m.derived()); |
| internal::evaluator<NestedCleaned> thisEval(nm); |
| for (Index row=0; row<nm.outerSize(); ++row) |
| { |
| Index col = 0; |
| for (typename internal::evaluator<NestedCleaned>::InnerIterator it(thisEval, row); it; ++it) |
| { |
| for ( ; col<it.index(); ++col) |
| s << "0 "; |
| s << it.value() << " "; |
| ++col; |
| } |
| for ( ; col<m.cols(); ++col) |
| s << "0 "; |
| s << std::endl; |
| } |
| } |
| else |
| { |
| Nested nm(m.derived()); |
| internal::evaluator<NestedCleaned> thisEval(nm); |
| if (m.cols() == 1) { |
| Index row = 0; |
| for (typename internal::evaluator<NestedCleaned>::InnerIterator it(thisEval, 0); it; ++it) |
| { |
| for ( ; row<it.index(); ++row) |
| s << "0" << std::endl; |
| s << it.value() << std::endl; |
| ++row; |
| } |
| for ( ; row<m.rows(); ++row) |
| s << "0" << std::endl; |
| } |
| else |
| { |
| SparseMatrix<Scalar, RowMajorBit, StorageIndex> trans = m; |
| s << static_cast<const SparseMatrixBase<SparseMatrix<Scalar, RowMajorBit, StorageIndex> >&>(trans); |
| } |
| } |
| return s; |
| } |
| |
| template<typename OtherDerived> |
| Derived& operator+=(const SparseMatrixBase<OtherDerived>& other); |
| template<typename OtherDerived> |
| Derived& operator-=(const SparseMatrixBase<OtherDerived>& other); |
| |
| template<typename OtherDerived> |
| Derived& operator+=(const DiagonalBase<OtherDerived>& other); |
| template<typename OtherDerived> |
| Derived& operator-=(const DiagonalBase<OtherDerived>& other); |
| |
| template<typename OtherDerived> |
| Derived& operator+=(const EigenBase<OtherDerived> &other); |
| template<typename OtherDerived> |
| Derived& operator-=(const EigenBase<OtherDerived> &other); |
| |
| Derived& operator*=(const Scalar& other); |
| Derived& operator/=(const Scalar& other); |
| |
| template<typename OtherDerived> struct CwiseProductDenseReturnType { |
| typedef CwiseBinaryOp<internal::scalar_product_op<typename ScalarBinaryOpTraits< |
| typename internal::traits<Derived>::Scalar, |
| typename internal::traits<OtherDerived>::Scalar |
| >::ReturnType>, |
| const Derived, |
| const OtherDerived |
| > Type; |
| }; |
| |
| template<typename OtherDerived> |
| EIGEN_STRONG_INLINE const typename CwiseProductDenseReturnType<OtherDerived>::Type |
| cwiseProduct(const MatrixBase<OtherDerived> &other) const; |
| |
| // sparse * diagonal |
| template<typename OtherDerived> |
| const Product<Derived,OtherDerived> |
| operator*(const DiagonalBase<OtherDerived> &other) const |
| { return Product<Derived,OtherDerived>(derived(), other.derived()); } |
| |
| // diagonal * sparse |
| template<typename OtherDerived> friend |
| const Product<OtherDerived,Derived> |
| operator*(const DiagonalBase<OtherDerived> &lhs, const SparseMatrixBase& rhs) |
| { return Product<OtherDerived,Derived>(lhs.derived(), rhs.derived()); } |
| |
| // sparse * sparse |
| template<typename OtherDerived> |
| const Product<Derived,OtherDerived,AliasFreeProduct> |
| operator*(const SparseMatrixBase<OtherDerived> &other) const; |
| |
| // sparse * dense |
| template<typename OtherDerived> |
| const Product<Derived,OtherDerived> |
| operator*(const MatrixBase<OtherDerived> &other) const |
| { return Product<Derived,OtherDerived>(derived(), other.derived()); } |
| |
| // dense * sparse |
| template<typename OtherDerived> friend |
| const Product<OtherDerived,Derived> |
| operator*(const MatrixBase<OtherDerived> &lhs, const SparseMatrixBase& rhs) |
| { return Product<OtherDerived,Derived>(lhs.derived(), rhs.derived()); } |
| |
| /** \returns an expression of P H P^-1 where H is the matrix represented by \c *this */ |
| SparseSymmetricPermutationProduct<Derived,Upper|Lower> twistedBy(const PermutationMatrix<Dynamic,Dynamic,StorageIndex>& perm) const |
| { |
| return SparseSymmetricPermutationProduct<Derived,Upper|Lower>(derived(), perm); |
| } |
| |
| template<typename OtherDerived> |
| Derived& operator*=(const SparseMatrixBase<OtherDerived>& other); |
| |
| template<int Mode> |
| inline const TriangularView<const Derived, Mode> triangularView() const; |
| |
| template<unsigned int UpLo> struct SelfAdjointViewReturnType { typedef SparseSelfAdjointView<Derived, UpLo> Type; }; |
| template<unsigned int UpLo> struct ConstSelfAdjointViewReturnType { typedef const SparseSelfAdjointView<const Derived, UpLo> Type; }; |
| |
| template<unsigned int UpLo> inline |
| typename ConstSelfAdjointViewReturnType<UpLo>::Type selfadjointView() const; |
| template<unsigned int UpLo> inline |
| typename SelfAdjointViewReturnType<UpLo>::Type selfadjointView(); |
| |
| template<typename OtherDerived> Scalar dot(const MatrixBase<OtherDerived>& other) const; |
| template<typename OtherDerived> Scalar dot(const SparseMatrixBase<OtherDerived>& other) const; |
| RealScalar squaredNorm() const; |
| RealScalar norm() const; |
| RealScalar blueNorm() const; |
| |
| TransposeReturnType transpose() { return TransposeReturnType(derived()); } |
| const ConstTransposeReturnType transpose() const { return ConstTransposeReturnType(derived()); } |
| const AdjointReturnType adjoint() const { return AdjointReturnType(transpose()); } |
| |
| DenseMatrixType toDense() const |
| { |
| return DenseMatrixType(derived()); |
| } |
| |
| template<typename OtherDerived> |
| bool isApprox(const SparseMatrixBase<OtherDerived>& other, |
| const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; |
| |
| template<typename OtherDerived> |
| bool isApprox(const MatrixBase<OtherDerived>& other, |
| const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const |
| { return toDense().isApprox(other,prec); } |
| |
| /** \returns the matrix or vector obtained by evaluating this expression. |
| * |
| * Notice that in the case of a plain matrix or vector (not an expression) this function just returns |
| * a const reference, in order to avoid a useless copy. |
| */ |
| inline const typename internal::eval<Derived>::type eval() const |
| { return typename internal::eval<Derived>::type(derived()); } |
| |
| Scalar sum() const; |
| |
| inline const SparseView<Derived> |
| pruned(const Scalar& reference = Scalar(0), const RealScalar& epsilon = NumTraits<Scalar>::dummy_precision()) const; |
| |
| protected: |
| |
| bool m_isRValue; |
| |
| static inline StorageIndex convert_index(const Index idx) { |
| return internal::convert_index<StorageIndex>(idx); |
| } |
| private: |
| template<typename Dest> void evalTo(Dest &) const; |
| }; |
| |
| } // end namespace Eigen |
| |
| #endif // EIGEN_SPARSEMATRIXBASE_H |
