| // This file is part of Eigen, a lightweight C++ template library | 
 | // for linear algebra. | 
 | // | 
 | // Copyright (C) 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_SPARSESOLVERBASE_H | 
 | #define EIGEN_SPARSESOLVERBASE_H | 
 |  | 
 | #include "./InternalHeaderCheck.h" | 
 |  | 
 | namespace Eigen {  | 
 |  | 
 | namespace internal { | 
 |  | 
 |   /** \internal | 
 |   * Helper functions to solve with a sparse right-hand-side and result. | 
 |   * The rhs is decomposed into small vertical panels which are solved through dense temporaries. | 
 |   */ | 
 | template<typename Decomposition, typename Rhs, typename Dest> | 
 | typename enable_if<Rhs::ColsAtCompileTime!=1 && Dest::ColsAtCompileTime!=1>::type | 
 | solve_sparse_through_dense_panels(const Decomposition &dec, const Rhs& rhs, Dest &dest) | 
 | { | 
 |   EIGEN_STATIC_ASSERT((Dest::Flags&RowMajorBit)==0,THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES); | 
 |   typedef typename Dest::Scalar DestScalar; | 
 |   // we process the sparse rhs per block of NbColsAtOnce columns temporarily stored into a dense matrix. | 
 |   static const Index NbColsAtOnce = 4; | 
 |   Index rhsCols = rhs.cols(); | 
 |   Index size = rhs.rows(); | 
 |   // the temporary matrices do not need more columns than NbColsAtOnce: | 
 |   Index tmpCols = (std::min)(rhsCols, NbColsAtOnce);  | 
 |   Eigen::Matrix<DestScalar,Dynamic,Dynamic> tmp(size,tmpCols); | 
 |   Eigen::Matrix<DestScalar,Dynamic,Dynamic> tmpX(size,tmpCols); | 
 |   for(Index k=0; k<rhsCols; k+=NbColsAtOnce) | 
 |   { | 
 |     Index actualCols = std::min<Index>(rhsCols-k, NbColsAtOnce); | 
 |     tmp.leftCols(actualCols) = rhs.middleCols(k,actualCols); | 
 |     tmpX.leftCols(actualCols) = dec.solve(tmp.leftCols(actualCols)); | 
 |     dest.middleCols(k,actualCols) = tmpX.leftCols(actualCols).sparseView(); | 
 |   } | 
 | } | 
 |  | 
 | // Overload for vector as rhs | 
 | template<typename Decomposition, typename Rhs, typename Dest> | 
 | typename enable_if<Rhs::ColsAtCompileTime==1 || Dest::ColsAtCompileTime==1>::type | 
 | solve_sparse_through_dense_panels(const Decomposition &dec, const Rhs& rhs, Dest &dest) | 
 | { | 
 |   typedef typename Dest::Scalar DestScalar; | 
 |   Index size = rhs.rows(); | 
 |   Eigen::Matrix<DestScalar,Dynamic,1> rhs_dense(rhs); | 
 |   Eigen::Matrix<DestScalar,Dynamic,1> dest_dense(size); | 
 |   dest_dense = dec.solve(rhs_dense); | 
 |   dest = dest_dense.sparseView(); | 
 | } | 
 |  | 
 | } // end namespace internal | 
 |  | 
 | /** \class SparseSolverBase | 
 |   * \ingroup SparseCore_Module | 
 |   * \brief A base class for sparse solvers | 
 |   * | 
 |   * \tparam Derived the actual type of the solver. | 
 |   * | 
 |   */ | 
 | template<typename Derived> | 
 | class SparseSolverBase : internal::noncopyable | 
 | { | 
 |   public: | 
 |  | 
 |     /** Default constructor */ | 
 |     SparseSolverBase() | 
 |       : m_isInitialized(false) | 
 |     {} | 
 |  | 
 |     ~SparseSolverBase() | 
 |     {} | 
 |  | 
 |     Derived& derived() { return *static_cast<Derived*>(this); } | 
 |     const Derived& derived() const { return *static_cast<const Derived*>(this); } | 
 |      | 
 |     /** \returns an expression of the solution x of \f$ A x = b \f$ using the current decomposition of A. | 
 |       * | 
 |       * \sa compute() | 
 |       */ | 
 |     template<typename Rhs> | 
 |     inline const Solve<Derived, Rhs> | 
 |     solve(const MatrixBase<Rhs>& b) const | 
 |     { | 
 |       eigen_assert(m_isInitialized && "Solver is not initialized."); | 
 |       eigen_assert(derived().rows()==b.rows() && "solve(): invalid number of rows of the right hand side matrix b"); | 
 |       return Solve<Derived, Rhs>(derived(), b.derived()); | 
 |     } | 
 |      | 
 |     /** \returns an expression of the solution x of \f$ A x = b \f$ using the current decomposition of A. | 
 |       * | 
 |       * \sa compute() | 
 |       */ | 
 |     template<typename Rhs> | 
 |     inline const Solve<Derived, Rhs> | 
 |     solve(const SparseMatrixBase<Rhs>& b) const | 
 |     { | 
 |       eigen_assert(m_isInitialized && "Solver is not initialized."); | 
 |       eigen_assert(derived().rows()==b.rows() && "solve(): invalid number of rows of the right hand side matrix b"); | 
 |       return Solve<Derived, Rhs>(derived(), b.derived()); | 
 |     } | 
 |      | 
 |     #ifndef EIGEN_PARSED_BY_DOXYGEN | 
 |     /** \internal default implementation of solving with a sparse rhs */ | 
 |     template<typename Rhs,typename Dest> | 
 |     void _solve_impl(const SparseMatrixBase<Rhs> &b, SparseMatrixBase<Dest> &dest) const | 
 |     { | 
 |       internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | 
 |     } | 
 |     #endif // EIGEN_PARSED_BY_DOXYGEN | 
 |  | 
 |   protected: | 
 |      | 
 |     mutable bool m_isInitialized; | 
 | }; | 
 |  | 
 | } // end namespace Eigen | 
 |  | 
 | #endif // EIGEN_SPARSESOLVERBASE_H |