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Lots more setup options, still working on them
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@ -32,6 +32,13 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
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NAMESPACE_BEGIN(Grid);
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inline RealD AggregatePowerLaw(RealD x)
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{
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// return std::pow(x,-4);
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// return std::pow(x,-3);
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return std::pow(x,-5);
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}
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template<class Fobj,class CComplex,int nbasis>
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class Aggregation {
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public:
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@ -246,9 +253,54 @@ public:
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// Initial matrix element
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hermop.Op(noise,Mn);
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if(b==0) std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
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// Filter
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Chebyshev<FineField> Cheb(lo,hi,orderfilter);
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Cheb(hermop,noise,Mn);
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scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
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// Refine
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Chebyshev<FineField> PowerLaw(lo,hi,1000,AggregatePowerLaw);
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noise = Mn;
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PowerLaw(hermop,noise,Mn);
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scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
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// normalise
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subspace[b] = Mn;
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hermop.Op(Mn,tmp);
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std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
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}
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}
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virtual void CreateSubspaceChebyshevPowerLaw(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
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int nn,
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double hi,
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int orderfilter
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) {
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RealD scale;
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FineField noise(FineGrid);
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FineField Mn(FineGrid);
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FineField tmp(FineGrid);
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// New normalised noise
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std::cout << GridLogMessage<<" Chebyshev subspace pure noise : ord "<<orderfilter<<" [0,"<<hi<<"]"<<std::endl;
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std::cout << GridLogMessage<<" Chebyshev subspace pure noise : nbasis "<<nn<<std::endl;
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for(int b =0;b<nbasis;b++)
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{
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gaussian(RNG,noise);
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scale = std::pow(norm2(noise),-0.5);
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noise=noise*scale;
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// Initial matrix element
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hermop.Op(noise,Mn);
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if(b==0) std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
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// Filter
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Chebyshev<FineField> Cheb(0.0,hi,orderfilter,AggregatePowerLaw);
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Cheb(hermop,noise,Mn);
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// normalise
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scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
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subspace[b] = Mn;
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@ -258,5 +310,72 @@ public:
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}
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virtual void CreateSubspaceMultishift(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
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double Lo,double tol,int maxit)
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{
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RealD scale;
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FineField noise(FineGrid);
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FineField Mn(FineGrid);
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FineField tmp(FineGrid);
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// New normalised noise
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std::cout << GridLogMessage<<" Multishift subspace : Lo "<<Lo<<std::endl;
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// Filter
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// [ 1/6(x+Lo) - 1/2(x+2Lo) + 1/2(x+3Lo) -1/6(x+4Lo) = Lo^3 /[ (x+1Lo)(x+2Lo)(x+3Lo)(x+4Lo) ]
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//
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// 1/(x+Lo) - 1/(x+2 Lo)
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double epsilon = Lo/3;
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std::vector<RealD> alpha({1.0/6.0,-1.0/2.0,1.0/2.0,-1.0/6.0});
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std::vector<RealD> shifts({Lo,Lo+epsilon,Lo+2*epsilon,Lo+3*epsilon});
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std::vector<RealD> tols({tol,tol,tol,tol});
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std::cout << "sizes "<<alpha.size()<<" "<<shifts.size()<<" "<<tols.size()<<std::endl;
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MultiShiftFunction msf(4,0.0,95.0);
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std::cout << "msf constructed "<<std::endl;
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msf.poles=shifts;
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msf.residues=alpha;
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msf.tolerances=tols;
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msf.norm=0.0;
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msf.order=alpha.size();
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ConjugateGradientMultiShift<FineField> MSCG(maxit,msf);
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for(int b =0;b<nbasis;b++)
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{
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gaussian(RNG,noise);
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scale = std::pow(norm2(noise),-0.5);
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noise=noise*scale;
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// Initial matrix element
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hermop.Op(noise,Mn);
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if(b==0) std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
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MSCG(hermop,noise,Mn);
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scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
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subspace[b] = Mn;
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hermop.Op(Mn,tmp);
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std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
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}
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}
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virtual void RefineSubspace(LinearOperatorBase<FineField> &hermop,
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double Lo,double tol,int maxit)
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{
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FineField tmp(FineGrid);
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for(int b =0;b<nbasis;b++)
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{
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RealD MirsShift = Lo;
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ConjugateGradient<FineField> CGsloppy(tol,maxit,false);
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ShiftedHermOpLinearOperator<FineField> ShiftedFineHermOp(hermop,MirsShift);
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CGsloppy(hermop,subspace[b],tmp);
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subspace[b]=tmp;
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}
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}
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};
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NAMESPACE_END(Grid);
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