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More verboose Lanczos
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@ -43,6 +43,11 @@ NAMESPACE_BEGIN(Grid);
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template<class Field>
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void basisOrthogonalize(std::vector<Field> &basis,Field &w,int k)
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{
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// If assume basis[j] are already orthonormal,
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// can take all inner products in parallel saving 2x bandwidth
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// Save 3x bandwidth on the second line of loop.
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// perhaps 2.5x speed up.
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// 2x overall in Multigrid Lanczos
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for(int j=0; j<k; ++j){
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auto ip = innerProduct(basis[j],w);
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w = w - ip*basis[j];
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@ -282,7 +287,7 @@ public:
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RealD _eresid, // resid in lmdue deficit
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int _MaxIter, // Max iterations
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RealD _betastp=0.0, // if beta(k) < betastp: converged
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int _MinRestart=1, int _orth_period = 1,
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int _MinRestart=0, int _orth_period = 1,
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IRLdiagonalisation _diagonalisation= IRLdiagonaliseWithEigen) :
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SimpleTester(HermOp), _PolyOp(PolyOp), _HermOp(HermOp), _Tester(Tester),
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Nstop(_Nstop) , Nk(_Nk), Nm(_Nm),
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@ -347,7 +352,7 @@ until convergence
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GridBase *grid = src.Grid();
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assert(grid == evec[0].Grid());
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GridLogIRL.TimingMode(1);
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// GridLogIRL.TimingMode(1);
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std::cout << GridLogIRL <<"**************************************************************************"<< std::endl;
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std::cout << GridLogIRL <<" ImplicitlyRestartedLanczos::calc() starting iteration 0 / "<< MaxIter<< std::endl;
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std::cout << GridLogIRL <<"**************************************************************************"<< std::endl;
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@ -577,11 +582,11 @@ until convergence
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/* Saad PP. 195
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1. Choose an initial vector v1 of 2-norm unity. Set β1 ≡ 0, v0 ≡ 0
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2. For k = 1,2,...,m Do:
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3. wk:=Avk−βkv_{k−1}
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4. αk:=(wk,vk) //
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5. wk:=wk−αkvk // wk orthog vk
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6. βk+1 := ∥wk∥2. If βk+1 = 0 then Stop
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7. vk+1 := wk/βk+1
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3. wk:=Avk - b_k v_{k-1}
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4. ak:=(wk,vk) //
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5. wk:=wk-akvk // wk orthog vk
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6. bk+1 := ||wk||_2. If b_k+1 = 0 then Stop
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7. vk+1 := wk/b_k+1
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8. EndDo
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*/
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void step(std::vector<RealD>& lmd,
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@ -589,6 +594,7 @@ until convergence
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std::vector<Field>& evec,
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Field& w,int Nm,int k)
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{
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std::cout<<GridLogIRL << "Lanczos step " <<k<<std::endl;
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const RealD tiny = 1.0e-20;
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assert( k< Nm );
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@ -600,20 +606,20 @@ until convergence
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if(k>0) w -= lme[k-1] * evec[k-1];
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ComplexD zalph = innerProduct(evec_k,w); // 4. αk:=(wk,vk)
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ComplexD zalph = innerProduct(evec_k,w);
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RealD alph = real(zalph);
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w = w - alph * evec_k;// 5. wk:=wk−αkvk
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w = w - alph * evec_k;
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RealD beta = normalise(w); // 6. βk+1 := ∥wk∥2. If βk+1 = 0 then Stop
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// 7. vk+1 := wk/βk+1
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RealD beta = normalise(w);
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lmd[k] = alph;
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lme[k] = beta;
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if (k>0 && k % orth_period == 0) {
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if ( (k>0) && ( (k % orth_period) == 0 )) {
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std::cout<<GridLogIRL << "Orthogonalising " <<k<<std::endl;
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orthogonalize(w,evec,k); // orthonormalise
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std::cout<<GridLogIRL << "Orthogonalised " <<std::endl;
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std::cout<<GridLogIRL << "Orthogonalised " <<k<<std::endl;
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}
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if(k < Nm-1) evec[k+1] = w;
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@ -621,6 +627,8 @@ until convergence
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std::cout<<GridLogIRL << "alpha[" << k << "] = " << zalph << " beta[" << k << "] = "<<beta<<std::endl;
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if ( beta < tiny )
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std::cout<<GridLogIRL << " beta is tiny "<<beta<<std::endl;
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std::cout<<GridLogIRL << "Lanczos step complete " <<k<<std::endl;
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}
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void diagonalize_Eigen(std::vector<RealD>& lmd, std::vector<RealD>& lme,
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