// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2008 Gael Guennebaud // // 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 . #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 \ EIGEN_STRONG_INLINE Derived& operator Op(const Eigen::SparseMatrixBase& 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 \ 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_GENERIC_PUBLIC_INTERFACE(Derived, BaseClass) \ typedef BaseClass Base; \ typedef typename Eigen::ei_traits::Scalar Scalar; \ typedef typename Eigen::NumTraits::Real RealScalar; \ typedef typename Eigen::ei_nested::type Nested; \ enum { RowsAtCompileTime = Eigen::ei_traits::RowsAtCompileTime, \ ColsAtCompileTime = Eigen::ei_traits::ColsAtCompileTime, \ Flags = Eigen::ei_traits::Flags, \ CoeffReadCost = Eigen::ei_traits::CoeffReadCost, \ SizeAtCompileTime = Base::SizeAtCompileTime, \ IsVectorAtCompileTime = Base::IsVectorAtCompileTime }; #define EIGEN_SPARSE_GENERIC_PUBLIC_INTERFACE(Derived) \ _EIGEN_SPARSE_GENERIC_PUBLIC_INTERFACE(Derived, Eigen::SparseMatrixBase) #define _EIGEN_SPARSE_PUBLIC_INTERFACE(Derived, BaseClass) \ typedef BaseClass Base; \ typedef typename Eigen::ei_traits::Scalar Scalar; \ typedef typename Eigen::NumTraits::Real RealScalar; \ typedef typename Eigen::ei_nested::type Nested; \ enum { RowsAtCompileTime = Eigen::ei_traits::RowsAtCompileTime, \ ColsAtCompileTime = Eigen::ei_traits::ColsAtCompileTime, \ Flags = Eigen::ei_traits::Flags, \ CoeffReadCost = Eigen::ei_traits::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) enum SparseBackend { DefaultBackend, Taucs, Cholmod, SuperLU, UmfPack }; // solver flags enum { CompleteFactorization = 0x0000, // the default IncompleteFactorization = 0x0001, MemoryEfficient = 0x0002, // For LLT Cholesky: SupernodalMultifrontal = 0x0010, SupernodalLeftLooking = 0x0020, // Ordering methods: NaturalOrdering = 0x0100, // the default MinimumDegree_AT_PLUS_A = 0x0200, MinimumDegree_ATA = 0x0300, ColApproxMinimumDegree = 0x0400, Metis = 0x0500, Scotch = 0x0600, Chaco = 0x0700, OrderingMask = 0x0f00 }; template class SparseMatrixBase; template class SparseMatrix; template class DynamicSparseMatrix; template class SparseVector; template class MappedSparseMatrix; template class SparseInnerVectorSet; template class SparseTriangularView; template class SparseSelfAdjointView; template class SparseDiagonalProduct; template class SparseProduct; template class SparseTimeDenseProduct; template class DenseTimeSparseProduct; template::StorageType, typename RhsStorage = typename ei_traits::StorageType> struct ei_sparse_product_mode; template struct SparseProductReturnType; const int CoherentAccessPattern = 0x1; const int InnerRandomAccessPattern = 0x2 | CoherentAccessPattern; const int OuterRandomAccessPattern = 0x4 | CoherentAccessPattern; const int RandomAccessPattern = 0x8 | OuterRandomAccessPattern | InnerRandomAccessPattern; template class ei_eval { typedef typename ei_traits::Scalar _Scalar; enum { _Flags = ei_traits::Flags }; public: typedef SparseMatrix<_Scalar, _Flags> type; }; #endif // EIGEN_SPARSEUTIL_H