|  | // This file is part of Eigen, a lightweight C++ template library | 
|  | // for linear algebra. | 
|  | // | 
|  | // Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr> | 
|  | // | 
|  | // Eigen is free software; you can redistribute it and/or | 
|  | // modify it under the terms of the GNU Lesser General Public | 
|  | // License as published by the Free Software Foundation; either | 
|  | // version 3 of the License, or (at your option) any later version. | 
|  | // | 
|  | // Alternatively, you can redistribute it and/or | 
|  | // modify it under the terms of the GNU General Public License as | 
|  | // published by the Free Software Foundation; either version 2 of | 
|  | // the License, or (at your option) any later version. | 
|  | // | 
|  | // Eigen is distributed in the hope that it will be useful, but WITHOUT ANY | 
|  | // WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS | 
|  | // FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the | 
|  | // GNU General Public License for more details. | 
|  | // | 
|  | // You should have received a copy of the GNU Lesser General Public | 
|  | // License and a copy of the GNU General Public License along with | 
|  | // Eigen. If not, see <http://www.gnu.org/licenses/>. | 
|  |  | 
|  | #ifndef EIGEN_SPARSEUTIL_H | 
|  | #define EIGEN_SPARSEUTIL_H | 
|  |  | 
|  | #ifdef NDEBUG | 
|  | #define EIGEN_DBG_SPARSE(X) | 
|  | #else | 
|  | #define EIGEN_DBG_SPARSE(X) X | 
|  | #endif | 
|  |  | 
|  | #define EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, Op) \ | 
|  | template<typename OtherDerived> \ | 
|  | EIGEN_STRONG_INLINE Derived& operator Op(const Eigen::SparseMatrixBase<OtherDerived>& other) \ | 
|  | { \ | 
|  | return Base::operator Op(other.derived()); \ | 
|  | } \ | 
|  | EIGEN_STRONG_INLINE Derived& operator Op(const Derived& other) \ | 
|  | { \ | 
|  | return Base::operator Op(other); \ | 
|  | } | 
|  |  | 
|  | #define EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, Op) \ | 
|  | template<typename Other> \ | 
|  | EIGEN_STRONG_INLINE Derived& operator Op(const Other& scalar) \ | 
|  | { \ | 
|  | return Base::operator Op(scalar); \ | 
|  | } | 
|  |  | 
|  | #define EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATORS(Derived) \ | 
|  | EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, =) \ | 
|  | EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, +=) \ | 
|  | EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, -=) \ | 
|  | EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, *=) \ | 
|  | EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, /=) | 
|  |  | 
|  | #define _EIGEN_SPARSE_PUBLIC_INTERFACE(Derived, BaseClass) \ | 
|  | typedef BaseClass Base; \ | 
|  | typedef typename Eigen::ei_traits<Derived>::Scalar Scalar; \ | 
|  | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar; \ | 
|  | typedef typename Eigen::ei_nested<Derived>::type Nested; \ | 
|  | typedef typename Eigen::ei_traits<Derived>::StorageKind StorageKind; \ | 
|  | typedef typename Eigen::ei_traits<Derived>::Index Index; \ | 
|  | enum { RowsAtCompileTime = Eigen::ei_traits<Derived>::RowsAtCompileTime, \ | 
|  | ColsAtCompileTime = Eigen::ei_traits<Derived>::ColsAtCompileTime, \ | 
|  | Flags = Eigen::ei_traits<Derived>::Flags, \ | 
|  | CoeffReadCost = Eigen::ei_traits<Derived>::CoeffReadCost, \ | 
|  | SizeAtCompileTime = Base::SizeAtCompileTime, \ | 
|  | IsVectorAtCompileTime = Base::IsVectorAtCompileTime }; \ | 
|  | using Base::derived; \ | 
|  | using Base::const_cast_derived; | 
|  |  | 
|  | #define EIGEN_SPARSE_PUBLIC_INTERFACE(Derived) \ | 
|  | _EIGEN_SPARSE_PUBLIC_INTERFACE(Derived, Eigen::SparseMatrixBase<Derived>) | 
|  |  | 
|  | const int CoherentAccessPattern     = 0x1; | 
|  | const int InnerRandomAccessPattern  = 0x2 | CoherentAccessPattern; | 
|  | const int OuterRandomAccessPattern  = 0x4 | CoherentAccessPattern; | 
|  | const int RandomAccessPattern       = 0x8 | OuterRandomAccessPattern | InnerRandomAccessPattern; | 
|  |  | 
|  | template<typename Derived> class SparseMatrixBase; | 
|  | template<typename _Scalar, int _Flags = 0, typename _Index = int>  class SparseMatrix; | 
|  | template<typename _Scalar, int _Flags = 0, typename _Index = int>  class DynamicSparseMatrix; | 
|  | template<typename _Scalar, int _Flags = 0, typename _Index = int>  class SparseVector; | 
|  | template<typename _Scalar, int _Flags = 0, typename _Index = int>  class MappedSparseMatrix; | 
|  |  | 
|  | template<typename MatrixType, int Size>           class SparseInnerVectorSet; | 
|  | template<typename MatrixType, int Mode>           class SparseTriangularView; | 
|  | template<typename MatrixType, unsigned int UpLo>  class SparseSelfAdjointView; | 
|  | template<typename Lhs, typename Rhs>              class SparseDiagonalProduct; | 
|  | template<typename MatrixType> class SparseView; | 
|  |  | 
|  | template<typename Lhs, typename Rhs>        class SparseProduct; | 
|  | template<typename Lhs, typename Rhs>        class SparseTimeDenseProduct; | 
|  | template<typename Lhs, typename Rhs>        class DenseTimeSparseProduct; | 
|  |  | 
|  | template<typename Lhs, typename Rhs, | 
|  | typename LhsStorage = typename ei_traits<Lhs>::StorageKind, | 
|  | typename RhsStorage = typename ei_traits<Rhs>::StorageKind> struct ei_sparse_product_mode; | 
|  |  | 
|  | template<typename Lhs, typename Rhs> struct SparseProductReturnType; | 
|  |  | 
|  | template<typename T> struct ei_eval<T,Sparse> | 
|  | { | 
|  | typedef typename ei_traits<T>::Scalar _Scalar; | 
|  | enum { | 
|  | _Flags = ei_traits<T>::Flags | 
|  | }; | 
|  |  | 
|  | public: | 
|  | typedef SparseMatrix<_Scalar, _Flags> type; | 
|  | }; | 
|  |  | 
|  | template<typename T> struct ei_plain_matrix_type<T,Sparse> | 
|  | { | 
|  | typedef typename ei_traits<T>::Scalar _Scalar; | 
|  | enum { | 
|  | _Flags = ei_traits<T>::Flags | 
|  | }; | 
|  |  | 
|  | public: | 
|  | typedef SparseMatrix<_Scalar, _Flags> type; | 
|  | }; | 
|  |  | 
|  | #endif // EIGEN_SPARSEUTIL_H |