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102 lines
3.1 KiB
C++
102 lines
3.1 KiB
C++
/*************************************************************************************
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Grid physics library, www.github.com/paboyle/Grid
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Source file: ./lib/algorithms/iterative/ImplicitlyRestartedLanczos.h
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Copyright (C) 2015
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Author: Peter Boyle <paboyle@ph.ed.ac.uk>
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This program is free software; you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation; either version 2 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License along
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with this program; if not, write to the Free Software Foundation, Inc.,
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51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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See the full license in the file "LICENSE" in the top level distribution directory
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*************************************************************************************/
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/* END LEGAL */
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#ifndef GRID_DEFLATION_H
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#define GRID_DEFLATION_H
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namespace Grid {
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struct ZeroGuesser {
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public:
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template<class Field>
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void operator()(const Field &src,Field &guess) { guess = Zero(); };
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};
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struct SourceGuesser {
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public:
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template<class Field>
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void operator()(const Field &src,Field &guess) { guess = src; };
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};
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////////////////////////////////
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// Fine grid deflation
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////////////////////////////////
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template<class Field>
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struct DeflatedGuesser {
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private:
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const std::vector<Field> &evec;
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const std::vector<RealD> &eval;
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public:
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DeflatedGuesser(const std::vector<Field> & _evec,const std::vector<RealD> & _eval) : evec(_evec), eval(_eval) {};
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void operator()(const Field &src,Field &guess) {
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guess = zero;
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assert(evec.size()==eval.size());
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auto N = evec.size();
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for (int i=0;i<N;i++) {
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const Field& tmp = evec[i];
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axpy(guess,TensorRemove(innerProduct(tmp,src)) / eval[i],tmp,guess);
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}
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}
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};
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template<class FineField, class CoarseField>
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class LocalCoherenceDeflatedGuesser {
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private:
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const std::vector<FineField> &subspace;
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const std::vector<CoarseField> &evec_coarse;
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const std::vector<RealD> &eval_coarse;
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public:
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LocalCoherenceDeflatedGuesser(const std::vector<FineField> &_subspace,
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const std::vector<CoarseField> &_evec_coarse,
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const std::vector<RealD> &_eval_coarse)
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: subspace(_subspace),
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evec_coarse(_evec_coarse),
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eval_coarse(_eval_coarse)
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{
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}
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void operator()(const FineField &src,FineField &guess) {
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int N = (int)evec_coarse.size();
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CoarseField src_coarse(evec_coarse[0]._grid);
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CoarseField guess_coarse(evec_coarse[0]._grid); guess_coarse = zero;
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blockProject(src_coarse,src,subspace);
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for (int i=0;i<N;i++) {
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const CoarseField & tmp = evec_coarse[i];
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axpy(guess_coarse,TensorRemove(innerProduct(tmp,src_coarse)) / eval_coarse[i],tmp,guess_coarse);
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}
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blockPromote(guess_coarse,guess,subspace);
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};
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};
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}
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#endif
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