// 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/.
/** \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); typedeftypename Dest::Scalar DestScalar; // we process the sparse rhs per block of NbColsAtOnce columns temporarily stored into a dense matrix. staticconst 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)
{ typedeftypename 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:
/** \returns an expression of the solution x of \f$ A x = b \f$ using the current decomposition of A. * * \sa compute()
*/ template<typename Rhs> inlineconst 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> inlineconst 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:
mutablebool m_isInitialized;
};
} // end namespace Eigen
#endif// EIGEN_SPARSESOLVERBASE_H
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