73 lines
2.0 KiB
C++
73 lines
2.0 KiB
C++
// Copyright (C) 2017-2019 Yixuan Qiu <yixuan.qiu@cos.name>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at https://mozilla.org/MPL/2.0/.
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#ifndef SYM_GEIGS_REG_INV_OP_H
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#define SYM_GEIGS_REG_INV_OP_H
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#include <Eigen/Core>
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#include "../SparseSymMatProd.h"
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#include "../SparseRegularInverse.h"
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namespace Spectra {
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///
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/// \ingroup Operators
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///
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/// This class defines the matrix operation for generalized eigen solver in the
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/// regular inverse mode. This class is intended for internal use.
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///
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template <typename Scalar = double,
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typename OpType = SparseSymMatProd<double>,
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typename BOpType = SparseRegularInverse<double> >
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class SymGEigsRegInvOp
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{
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private:
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typedef Eigen::Index Index;
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typedef Eigen::Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic> Matrix;
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typedef Eigen::Matrix<Scalar, Eigen::Dynamic, 1> Vector;
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OpType& m_op;
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BOpType& m_Bop;
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Vector m_cache; // temporary working space
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public:
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///
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/// Constructor to create the matrix operation object.
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///
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/// \param op Pointer to the \f$A\f$ matrix operation object.
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/// \param Bop Pointer to the \f$B\f$ matrix operation object.
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///
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SymGEigsRegInvOp(OpType& op, BOpType& Bop) :
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m_op(op), m_Bop(Bop), m_cache(op.rows())
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{}
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///
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/// Return the number of rows of the underlying matrix.
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///
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Index rows() const { return m_Bop.rows(); }
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///
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/// Return the number of columns of the underlying matrix.
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///
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Index cols() const { return m_Bop.rows(); }
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///
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/// Perform the matrix operation \f$y=B^{-1}Ax\f$.
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///
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/// \param x_in Pointer to the \f$x\f$ vector.
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/// \param y_out Pointer to the \f$y\f$ vector.
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///
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// y_out = inv(B) * A * x_in
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void perform_op(const Scalar* x_in, Scalar* y_out)
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{
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m_op.perform_op(x_in, m_cache.data());
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m_Bop.solve(m_cache.data(), y_out);
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}
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};
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} // namespace Spectra
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#endif // SYM_GEIGS_REG_INV_OP_H
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