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// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2014 Gael Guennebaud // // 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 // IWYU pragma: private #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 std::enable_if_t 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 tmp(size, tmpCols); Eigen::Matrix tmpX(size, tmpCols); for (Index k = 0; k < rhsCols; k += NbColsAtOnce) { Index actualCols = std::min(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 std::enable_if_t solve_sparse_through_dense_panels( const Decomposition& dec, const Rhs& rhs, Dest& dest) { typedef typename Dest::Scalar DestScalar; Index size = rhs.rows(); Eigen::Matrix rhs_dense(rhs); Eigen::Matrix 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 class SparseSolverBase : internal::noncopyable { public: /** Default constructor */ SparseSolverBase() : m_isInitialized(false) {} SparseSolverBase(SparseSolverBase&& other) : internal::noncopyable{}, m_isInitialized{other.m_isInitialized} {} ~SparseSolverBase() {} Derived& derived() { return *static_cast(this); } const Derived& derived() const { return *static_cast(this); } /** \returns an expression of the solution x of \f$ A x = b \f$ using the current decomposition of A. * * \sa compute() */ template inline const Solve solve(const MatrixBase& 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(), b.derived()); } /** \returns an expression of the solution x of \f$ A x = b \f$ using the current decomposition of A. * * \sa compute() */ template inline const Solve solve(const SparseMatrixBase& 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(), b.derived()); } #ifndef EIGEN_PARSED_BY_DOXYGEN /** \internal default implementation of solving with a sparse rhs */ template void _solve_impl(const SparseMatrixBase& b, SparseMatrixBase& 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