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More verboose Lanczos

This commit is contained in:
Peter Boyle 2020-01-04 03:13:40 -05:00
parent 039eb7b2eb
commit 205ea4bbb2

View File

@ -43,6 +43,11 @@ NAMESPACE_BEGIN(Grid);
template<class Field>
void basisOrthogonalize(std::vector<Field> &basis,Field &w,int k)
{
// If assume basis[j] are already orthonormal,
// can take all inner products in parallel saving 2x bandwidth
// Save 3x bandwidth on the second line of loop.
// perhaps 2.5x speed up.
// 2x overall in Multigrid Lanczos
for(int j=0; j<k; ++j){
auto ip = innerProduct(basis[j],w);
w = w - ip*basis[j];
@ -282,7 +287,7 @@ public:
RealD _eresid, // resid in lmdue deficit
int _MaxIter, // Max iterations
RealD _betastp=0.0, // if beta(k) < betastp: converged
int _MinRestart=1, int _orth_period = 1,
int _MinRestart=0, int _orth_period = 1,
IRLdiagonalisation _diagonalisation= IRLdiagonaliseWithEigen) :
SimpleTester(HermOp), _PolyOp(PolyOp), _HermOp(HermOp), _Tester(Tester),
Nstop(_Nstop) , Nk(_Nk), Nm(_Nm),
@ -347,7 +352,7 @@ until convergence
GridBase *grid = src.Grid();
assert(grid == evec[0].Grid());
GridLogIRL.TimingMode(1);
// GridLogIRL.TimingMode(1);
std::cout << GridLogIRL <<"**************************************************************************"<< std::endl;
std::cout << GridLogIRL <<" ImplicitlyRestartedLanczos::calc() starting iteration 0 / "<< MaxIter<< std::endl;
std::cout << GridLogIRL <<"**************************************************************************"<< std::endl;
@ -577,11 +582,11 @@ until convergence
/* Saad PP. 195
1. Choose an initial vector v1 of 2-norm unity. Set β1 0, v0 0
2. For k = 1,2,...,m Do:
3. wk:=Avkβkv_{k1}
4. αk:=(wk,vk) //
5. wk:=wkαkvk // wk orthog vk
6. βk+1 := wk2. If βk+1 = 0 then Stop
7. vk+1 := wk/βk+1
3. wk:=Avk - b_k v_{k-1}
4. ak:=(wk,vk) //
5. wk:=wk-akvk // wk orthog vk
6. bk+1 := ||wk||_2. If b_k+1 = 0 then Stop
7. vk+1 := wk/b_k+1
8. EndDo
*/
void step(std::vector<RealD>& lmd,
@ -589,6 +594,7 @@ until convergence
std::vector<Field>& evec,
Field& w,int Nm,int k)
{
std::cout<<GridLogIRL << "Lanczos step " <<k<<std::endl;
const RealD tiny = 1.0e-20;
assert( k< Nm );
@ -600,20 +606,20 @@ until convergence
if(k>0) w -= lme[k-1] * evec[k-1];
ComplexD zalph = innerProduct(evec_k,w); // 4. αk:=(wk,vk)
ComplexD zalph = innerProduct(evec_k,w);
RealD alph = real(zalph);
w = w - alph * evec_k;// 5. wk:=wkαkvk
w = w - alph * evec_k;
RealD beta = normalise(w); // 6. βk+1 := ∥wk∥2. If βk+1 = 0 then Stop
// 7. vk+1 := wk/βk+1
RealD beta = normalise(w);
lmd[k] = alph;
lme[k] = beta;
if (k>0 && k % orth_period == 0) {
if ( (k>0) && ( (k % orth_period) == 0 )) {
std::cout<<GridLogIRL << "Orthogonalising " <<k<<std::endl;
orthogonalize(w,evec,k); // orthonormalise
std::cout<<GridLogIRL << "Orthogonalised " <<std::endl;
std::cout<<GridLogIRL << "Orthogonalised " <<k<<std::endl;
}
if(k < Nm-1) evec[k+1] = w;
@ -621,6 +627,8 @@ until convergence
std::cout<<GridLogIRL << "alpha[" << k << "] = " << zalph << " beta[" << k << "] = "<<beta<<std::endl;
if ( beta < tiny )
std::cout<<GridLogIRL << " beta is tiny "<<beta<<std::endl;
std::cout<<GridLogIRL << "Lanczos step complete " <<k<<std::endl;
}
void diagonalize_Eigen(std::vector<RealD>& lmd, std::vector<RealD>& lme,