// Copyright (C) 2017-2019 Yixuan Qiu // // 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 https://mozilla.org/MPL/2.0/. #ifndef SYM_GEIGS_REG_INV_OP_H #define SYM_GEIGS_REG_INV_OP_H #include #include "../SparseSymMatProd.h" #include "../SparseRegularInverse.h" namespace Spectra { /// /// \ingroup Operators /// /// This class defines the matrix operation for generalized eigen solver in the /// regular inverse mode. This class is intended for internal use. /// template < typename Scalar = double, typename OpType = SparseSymMatProd, typename BOpType = SparseRegularInverse > class SymGEigsRegInvOp { private: typedef Eigen::Index Index; typedef Eigen::Matrix Matrix; typedef Eigen::Matrix Vector; OpType& m_op; BOpType& m_Bop; Vector m_cache; // temporary working space public: /// /// Constructor to create the matrix operation object. /// /// \param op Pointer to the \f$A\f$ matrix operation object. /// \param Bop Pointer to the \f$B\f$ matrix operation object. /// SymGEigsRegInvOp(OpType& op, BOpType& Bop) : m_op(op), m_Bop(Bop), m_cache(op.rows()) {} /// /// Return the number of rows of the underlying matrix. /// Index rows() const { return m_Bop.rows(); } /// /// Return the number of columns of the underlying matrix. /// Index cols() const { return m_Bop.rows(); } /// /// Perform the matrix operation \f$y=B^{-1}Ax\f$. /// /// \param x_in Pointer to the \f$x\f$ vector. /// \param y_out Pointer to the \f$y\f$ vector. /// // y_out = inv(B) * A * x_in void perform_op(const Scalar* x_in, Scalar* y_out) { m_op.perform_op(x_in, m_cache.data()); m_Bop.solve(m_cache.data(), y_out); } }; } // namespace Spectra #endif // SYM_GEIGS_REG_INV_OP_H