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Updates to ldop tests
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3
.gitignore
vendored
3
.gitignore
vendored
@ -6,6 +6,7 @@
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*~
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errs
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*#
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INSTALL
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# Precompiled Headers
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*.gch
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@ -78,4 +79,4 @@ config.status
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.Spotlight-V100
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.Trashes
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ehthumbs.db
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Thumbs.db
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Thumbs.db
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2
INSTALL
2
INSTALL
@ -1 +1 @@
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/usr/share/automake-1.14/INSTALL
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/opt/local/share/automake-1.15/INSTALL
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13
configure
vendored
13
configure
vendored
@ -2574,7 +2574,7 @@ test -n "$target_alias" &&
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NONENONEs,x,x, &&
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program_prefix=${target_alias}-
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am__api_version='1.14'
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am__api_version='1.15'
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# Find a good install program. We prefer a C program (faster),
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# so one script is as good as another. But avoid the broken or
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@ -2746,8 +2746,8 @@ test "$program_suffix" != NONE &&
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ac_script='s/[\\$]/&&/g;s/;s,x,x,$//'
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program_transform_name=`$as_echo "$program_transform_name" | sed "$ac_script"`
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# expand $ac_aux_dir to an absolute path
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am_aux_dir=`cd $ac_aux_dir && pwd`
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# Expand $ac_aux_dir to an absolute path.
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am_aux_dir=`cd "$ac_aux_dir" && pwd`
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if test x"${MISSING+set}" != xset; then
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case $am_aux_dir in
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@ -2766,7 +2766,7 @@ else
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$as_echo "$as_me: WARNING: 'missing' script is too old or missing" >&2;}
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fi
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if test x"${install_sh}" != xset; then
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if test x"${install_sh+set}" != xset; then
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case $am_aux_dir in
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*\ * | *\ *)
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install_sh="\${SHELL} '$am_aux_dir/install-sh'" ;;
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@ -3094,8 +3094,8 @@ MAKEINFO=${MAKEINFO-"${am_missing_run}makeinfo"}
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# <http://lists.gnu.org/archive/html/automake/2012-07/msg00014.html>
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mkdir_p='$(MKDIR_P)'
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# We need awk for the "check" target. The system "awk" is bad on
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# some platforms.
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# We need awk for the "check" target (and possibly the TAP driver). The
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# system "awk" is bad on some platforms.
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# Always define AMTAR for backward compatibility. Yes, it's still used
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# in the wild :-( We should find a proper way to deprecate it ...
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AMTAR='$${TAR-tar}'
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@ -3154,6 +3154,7 @@ END
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fi
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ac_config_headers="$ac_config_headers lib/GridConfig.h"
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# Check whether --enable-silent-rules was given.
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@ -64,21 +64,10 @@ int main (int argc, char ** argv)
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//random(RNG4,Umu);
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NerscField header;
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std::string file("./ckpoint_lat.400");
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std::string file("./ckpoint_lat.4000");
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readNerscConfiguration(Umu,header,file);
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#if 0
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LatticeColourMatrix U(UGrid);
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Complex cone(1.0,0.0);
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for(int nn=0;nn<Nd;nn++){
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if (nn==3) {
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U=zero; std::cout << "zeroing gauge field in dir "<<nn<<std::endl;
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// else { U[nn]= cone;std::cout << "unit gauge field in dir "<<nn<<std::endl; }
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pokeIndex<LorentzIndex>(Umu,U,nn);
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}
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}
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#endif
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RealD mass=0.5;
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RealD mass=0.01;
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RealD M5=1.8;
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DomainWallFermion Ddwf(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass,M5);
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@ -100,7 +89,7 @@ int main (int argc, char ** argv)
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// filter(HermIndefOp,noise,subspace[b]);
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// inverse iteration
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MdagMLinearOperator<DomainWallFermion,LatticeFermion> HermDefOp(Ddwf);
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ConjugateGradient<LatticeFermion> CG(1.0e-5,10000);
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ConjugateGradient<LatticeFermion> CG(1.0e-4,10000);
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for(int i=0;i<4;i++){
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124
tests/Test_cayley_ldop_cr_chebyshev.cc
Normal file
124
tests/Test_cayley_ldop_cr_chebyshev.cc
Normal file
@ -0,0 +1,124 @@
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#include <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::GammaMatrix Gmu [] = {
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Gamma::GammaX,
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Gamma::GammaY,
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Gamma::GammaZ,
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Gamma::GammaT
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};
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double lowpass(double x)
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{
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return pow(x*x,-2);
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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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Chebyshev<LatticeFermion> filter(-120.0, 120.0,256, lowpass);
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ofstream csv(std::string("filter.dat"),std::ios::out|std::ios::trunc);
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filter.csv(csv);
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csv.close();
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const int Ls=8;
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GridCartesian * UGrid = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd,vComplexF::Nsimd()),GridDefaultMpi());
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GridRedBlackCartesian * UrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid);
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GridCartesian * FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,UGrid);
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GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGrid);
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// Construct a coarsened grid
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std::vector<int> clatt = GridDefaultLatt();
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for(int d=0;d<clatt.size();d++){
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clatt[d] = clatt[d]/2;
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}
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GridCartesian *Coarse4d = SpaceTimeGrid::makeFourDimGrid(clatt, GridDefaultSimd(Nd,vComplexF::Nsimd()),GridDefaultMpi());;
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GridCartesian *Coarse5d = SpaceTimeGrid::makeFiveDimGrid(1,Coarse4d);
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std::vector<int> seeds4({1,2,3,4});
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std::vector<int> seeds5({5,6,7,8});
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std::vector<int> cseeds({5,6,7,8});
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GridParallelRNG RNG5(FGrid); RNG5.SeedFixedIntegers(seeds5);
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GridParallelRNG RNG4(UGrid); RNG4.SeedFixedIntegers(seeds4);
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GridParallelRNG CRNG(Coarse5d);CRNG.SeedFixedIntegers(cseeds);
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LatticeFermion src(FGrid); gaussian(RNG5,src);
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LatticeFermion result(FGrid); result=zero;
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LatticeFermion ref(FGrid); ref=zero;
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LatticeFermion tmp(FGrid);
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LatticeFermion err(FGrid);
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LatticeGaugeField Umu(UGrid); gaussian(RNG4,Umu);
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//random(RNG4,Umu);
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NerscField header;
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std::string file("./ckpoint_lat.400");
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readNerscConfiguration(Umu,header,file);
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#if 0
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LatticeColourMatrix U(UGrid);
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Complex cone(1.0,0.0);
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for(int nn=0;nn<Nd;nn++){
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if (nn==3) {
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U=zero; std::cout << "zeroing gauge field in dir "<<nn<<std::endl;
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// else { U[nn]= cone;std::cout << "unit gauge field in dir "<<nn<<std::endl; }
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pokeIndex<LorentzIndex>(Umu,U,nn);
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}
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}
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#endif
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RealD mass=0.5;
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RealD M5=1.8;
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DomainWallFermion Ddwf(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass,M5);
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Gamma5R5HermitianLinearOperator<DomainWallFermion,LatticeFermion> HermIndefOp(Ddwf);
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const int nbasis = 8;
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std::vector<LatticeFermion> subspace(nbasis,FGrid);
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LatticeFermion noise(FGrid);
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LatticeFermion ms(FGrid);
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for(int b=0;b<nbasis;b++){
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Gamma g5(Gamma::Gamma5);
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gaussian(RNG5,noise);
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RealD scale = pow(norm2(noise),-0.5);
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noise=noise*scale;
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HermIndefOp.HermOp(noise,ms); std::cout << "Noise "<<b<<" Ms "<<norm2(ms)<< " "<< norm2(noise)<<std::endl;
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filter(HermIndefOp,noise,subspace[b]);
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scale = pow(norm2(subspace[b]),-0.5);
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subspace[b]=subspace[b]*scale;
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HermIndefOp.HermOp(subspace[b],ms); std::cout << "Filtered "<<b<<" Ms "<<norm2(ms)<< " "<<norm2(subspace[b]) <<std::endl;
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}
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std::cout << "Computed randoms"<< std::endl;
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typedef CoarsenedMatrix<vSpinColourVector,vTComplex,nbasis> LittleDiracOperator;
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typedef LittleDiracOperator::CoarseVector CoarseVector;
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LittleDiracOperator LittleDiracOp(*Coarse5d);
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LittleDiracOp.CoarsenOperator(FGrid,HermIndefOp,subspace);
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CoarseVector c_src (Coarse5d);
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CoarseVector c_res (Coarse5d);
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gaussian(CRNG,c_src);
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c_res=zero;
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std::cout << "Solving MCR on coarse space "<< std::endl;
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HermitianLinearOperator<LittleDiracOperator,CoarseVector> HermIndefLdop(LittleDiracOp);
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ConjugateResidual<CoarseVector> MCR(1.0e-8,10000);
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MCR(HermIndefLdop,c_src,c_res);
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std::cout << "Done "<< std::endl;
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Grid_finalize();
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}
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