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@ -47,6 +47,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
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#include <Grid/algorithms/iterative/ConjugateGradientMixedPrec.h>
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#include <Grid/algorithms/iterative/BlockConjugateGradient.h>
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#include <Grid/algorithms/iterative/ConjugateGradientReliableUpdate.h>
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#include <Grid/algorithms/iterative/GeneralisedMinimalResidual.h>
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#include <Grid/algorithms/iterative/ImplicitlyRestartedLanczos.h>
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#include <Grid/algorithms/CoarsenedMatrix.h>
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#include <Grid/algorithms/FFT.h>
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202
lib/algorithms/iterative/GeneralisedMinimalResidual.h
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202
lib/algorithms/iterative/GeneralisedMinimalResidual.h
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/*************************************************************************************
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Grid physics library, www.github.com/paboyle/Grid
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Source file: lib/algorithms/iterative/GeneralisedMinimalResidual.h
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Copyright (C) 2015
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Copyright (C) 2016
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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
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directory
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*************************************************************************************/
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/* END LEGAL */
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#ifndef GRID_GENERALISED_MINIMAL_RESIDUAL_H
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#define GRID_GENERALISED_MINIMAL_RESIDUAL_H
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///////////////////////////////////////////////////////////////////////////////////////////////////////
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// from Y. Saad - Iterative Methods for Sparse Linear Systems, PP 172
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// Compute r0 = b − Ax0 , β := ||r0||2 , and v1 := r0 /β
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// For j = 1, 2, ..., m Do:
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// Compute wj := Avj
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// For i = 1, ..., j Do:
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// hij := (wj , vi)
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// wj := wj − hij vi
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// EndDo
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// hj+1,j = ||wj||2 . If hj+1,j = 0 set m := j and go to HERE
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// vj+1 = wj /hj+1,j
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// EndDo
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// Define the (m + 1) × m Hessenberg matrix H̄m = {hij}1≤i≤m+1,1≤j≤m. [HERE]
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// Compute ym the minimizer of ||βe1 − H̄m y||2 and xm = x0 + Vm ym.
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///////////////////////////////////////////////////////////////////////////////////////////////////////
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// want to solve Ax = b -> A = LinOp, psi = x, b = src
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namespace Grid
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{
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template< class Field >
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class GeneralisedMinimalResidual : public OperatorFunction< Field >
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{
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public:
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bool ErrorOnNoConverge; // Throw an assert when GMRES fails to converge,
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// defaults to True.
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RealD Tolerance;
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Integer MaxIterations;
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Integer IterationsToComplete; // Number of iterations the GMRES took to
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// finish. Filled in upon completion
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GeneralisedMinimalResidual( RealD tol,
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Integer maxit,
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bool err_on_no_conv = true )
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: Tolerance( tol )
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, MaxIterations( maxit )
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, ErrorOnNoConverge( err_on_no_conv ){};
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// want to solve Ax = b -> A = LinOp, psi = x, b = src
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void operator()( LinearOperatorBase< Field > &LinOp,
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const Field & src,
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Field & psi )
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{
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std::cout << GridLogMessage
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<< "GeneralisedMinimalResidual: Start of operator()"
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<< std::endl;
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psi.checkerboard = src.checkerboard;
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conformable( psi, src );
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Field r( src );
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Field mmv( src );
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std::vector< Field > v( MaxIterations + 1, src );
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RealD beta{};
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RealD b{};
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RealD d{};
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Eigen::MatrixXcd H
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= Eigen::MatrixXcd::Zero( MaxIterations + 1, MaxIterations );
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// Compute r0 = b − Ax0 , β := ||r0||2 , and v1 := r0 /β
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LinOp.Op( psi, mmv );
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r = src - mmv;
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beta = norm2( r );
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V[ 0 ] = ( 1 / beta ) * r;
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for( auto j = 0; j < MaxIterations; ++j )
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{
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LinOp.Op( V[ j ], mmv );
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for( auto i = 0; i < j; ++i )
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{
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std::cout
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<< GridLogMessage
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<< "GeneralisedMinimalResidual: End of inner iteration "
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<< i << std::endl;
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H( i, j ) = innerProduct( mmv, v[ i ] );
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mmv = mmv - H( i, j ) * V[ i ];
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}
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H( j + 1, j ) = norm2( mmv );
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std::cout << GridLogMessage << "GeneralisedMinimalResidual: H"
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<< j + 1 << "," << j << "= " << H( j + 1, j )
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<< std::endl;
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if( H( j + 1, j ) == 0. )
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{
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IterationsToComplete = j;
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break;
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}
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V[ j + 1 ] = ( 1. / H( j + 1, j ) ) * mmv;
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std::cout << GridLogMessage
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<< "GeneralisedMinimalResidual: End of outer iteration "
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<< j << std::endl;
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}
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std::cout << GridLogMessage
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<< "GeneralisedMinimalResidual: End of operator()"
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<< std::endl;
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}
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};
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}
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#endif
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// Note: The DD-αAMG codebase turns around the Hessenberg matrix
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void arnoldiStep()
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{
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w = D * V[ j ];
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for( auto i = 0; i <= j; ++i )
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H( i, j ) = innerProduct( V[ j + 1 ], w );
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w = w - H( i, j ) * V[ i ];
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H( j + 1, j ) = norm2( w );
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V[ j + 1 ] = w / H( j + 1, j );
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}
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void qr_update_PRECISION()
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{
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// update QR factorization
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// apply previous Givens rotation
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for( auto i = 0; i < j; i++ )
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{
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beta = -s[ i ] * H( i, j ) + c[ i ] * H( i + 1, j );
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H( i, j ) = std::conj( c[ i ] ) * H( i, j )
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+ std::conj( s[ i ] ) * H( i + 1, j );
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H( i + 1, j ) = beta;
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}
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// compute current Givens rotation
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beta = sqrt( std::norm( H( j, j ) ) + std::norm( H( j, j + 1 ) ) );
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s[ j ] = H( j + 1, j ) / beta;
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c[ j ] = H( j, j ) / beta;
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// update right column
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gamma[ j + 1 ] = -s[ j ] * gamma[ j ];
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gamma[ j ] = std::conj( c[ j ] ) * gamma[ j ];
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// apply current Givens rotation
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H( j, j ) = beta;
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H( j + 1, j ) = 0;
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}
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// check
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void compute_solution_PRECISION()
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{
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for( auto i = j; i >= 0; i-- )
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{
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y[ i ] = gamma[ i ];
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for( auto k = i + 1; k <= j; k++ )
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y[ i ] -= H( i, k ) * y[ k ];
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y[ i ] /= H( i, i );
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}
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if( true ) // TODO ???
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{
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for( i = 0; i <= j; i++ )
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x = x + V[ i ] * y[ i ];
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}
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else
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{
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x = y[ 0 ] * V[ 0 ];
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for( i = 1; i <= j; i++ )
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x = x + V[ i ] * y[ i ];
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}
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}
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78
tests/solver/Test_wilson_gmres_unprec.cc
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78
tests/solver/Test_wilson_gmres_unprec.cc
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@ -0,0 +1,78 @@
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/*************************************************************************************
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Grid physics library, www.github.com/paboyle/Grid
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Source file: ./tests/Test_wilson_cg_unprec.cc
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Copyright (C) 2015
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Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
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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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#include <Grid/Grid.h>
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using namespace std;
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using namespace Grid;
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using namespace Grid::QCD;
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template<class d>
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struct scal {
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d internal;
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};
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Gamma::Algebra Gmu [] = {
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Gamma::Algebra::GammaX,
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Gamma::Algebra::GammaY,
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Gamma::Algebra::GammaZ,
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Gamma::Algebra::GammaT
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};
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int main (int argc, char ** argv)
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{
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Grid_init(&argc,&argv);
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std::vector<int> latt_size = GridDefaultLatt();
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std::vector<int> simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd());
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std::vector<int> mpi_layout = GridDefaultMpi();
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GridCartesian Grid(latt_size,simd_layout,mpi_layout);
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GridRedBlackCartesian RBGrid(latt_size,simd_layout,mpi_layout);
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std::vector<int> seeds({1,2,3,4});
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GridParallelRNG pRNG(&Grid); pRNG.SeedFixedIntegers(seeds);
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LatticeFermion src(&Grid); random(pRNG,src);
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RealD nrm = norm2(src);
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LatticeFermion result(&Grid); result=zero;
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LatticeGaugeField Umu(&Grid); SU3::HotConfiguration(pRNG,Umu);
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double volume=1;
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for(int mu=0;mu<Nd;mu++){
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volume=volume*latt_size[mu];
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}
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RealD mass=0.5;
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WilsonFermionR Dw(Umu,Grid,RBGrid,mass);
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MdagMLinearOperator<WilsonFermionR,LatticeFermion> HermOp(Dw);
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GeneralisedMinimalResidual<LatticeFermion> GMRES(1.0e-8,10000);
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GMRES(HermOp,src,result);
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Grid_finalize();
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}
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