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operatorfunctions.C
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operatorfunctions.C
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/*
Developed by Sandeep Sharma and Garnet K.-L. Chan, 2012
Copyright (c) 2012, Garnet K.-L. Chan
This program is integrated in Molpro with the permission of
Sandeep Sharma and Garnet K.-L. Chan
*/
#include "operatorfunctions.h"
#include "wavefunction.h"
#include "couplingCoeffs.h"
#ifdef _OPENMP
#include <omp.h>
#endif
#include "pario.h"
void SpinAdapted::operatorfunctions::TensorTrace(const SpinBlock *ablock, const Baseoperator<Matrix>& a, const SpinBlock *cblock, const StateInfo *cstateinfo, Baseoperator<Matrix>& c, double scale, int num_thrds)
{
if (fabs(scale) < TINY) return;
assert (a.get_initialised() && c.get_initialised());
#ifdef _OPENMP
#pragma omp parallel default(shared) num_threads(num_thrds)
#endif
{
#ifdef _OPENMP
#pragma omp for schedule(dynamic)
#endif
for (int cq = 0; cq < c.nrows(); ++cq)
for (int cqprime = 0; cqprime < c.ncols(); ++cqprime)
if (c.allowed(cq, cqprime))
TensorTraceElement(ablock, a, cblock, cstateinfo, c, c.operator_element(cq, cqprime), cq, cqprime, scale);
}
}
void SpinAdapted::operatorfunctions::TensorTraceElement(const SpinBlock *ablock, const Baseoperator<Matrix>& a, const SpinBlock *cblock, const StateInfo *cstateinfo, Baseoperator<Matrix>& c, Matrix& cel, int cq, int cqprime)
{
TensorTraceElement(ablock, a, cblock, cstateinfo, c, cel, cq, cqprime, 1.);
}
void SpinAdapted::operatorfunctions::TensorTraceElement(const SpinBlock *ablock, const Baseoperator<Matrix>& a, const SpinBlock *cblock, const StateInfo *cstateinfo, Baseoperator<Matrix>& c, Matrix& cel, int cq, int cqprime, double scale)
{
if (fabs(scale) < TINY) return;
assert(c.allowed(cq, cqprime));
int aq, aqprime, bq, bqprime, bstates;
const char conjC = (ablock == cblock->get_leftBlock()) ? 'n' : 't';
const std::vector<int> oldToNewI = cstateinfo->oldToNewState.at(cq);
const std::vector<int> oldToNewJ = cstateinfo->oldToNewState.at(cqprime);
const StateInfo* rS = cstateinfo->rightStateInfo, *lS = cstateinfo->leftStateInfo;
int rowstride =0, colstride = 0;
for (int oldi =0; oldi < oldToNewI.size(); oldi++) {
colstride = 0;
for (int oldj = 0; oldj < oldToNewJ.size(); oldj++)
{
if (conjC == 'n')
{
aq = cstateinfo->leftUnMapQuanta[ oldToNewI[oldi] ];
aqprime = cstateinfo->leftUnMapQuanta[ oldToNewJ[oldj] ];
bq = cstateinfo->rightUnMapQuanta[ oldToNewI[oldi] ];
bqprime = cstateinfo->rightUnMapQuanta[ oldToNewJ[oldj] ];
bstates = cstateinfo->rightStateInfo->getquantastates(bq);
}
else
{
aq = cstateinfo->rightUnMapQuanta[ oldToNewI[oldi] ];
aqprime = cstateinfo->rightUnMapQuanta[ oldToNewJ[oldj] ];
bq = cstateinfo->leftUnMapQuanta[ oldToNewI[oldi] ];
bqprime = cstateinfo->leftUnMapQuanta[ oldToNewJ[oldj] ];
bstates = cstateinfo->leftStateInfo->getquantastates(bq);
}
if (a.allowed(aq, aqprime) && (bq == bqprime))
{
DiagonalMatrix unitMatrix(bstates);
unitMatrix = 1.;
Matrix unity(bstates, bstates);
unity = unitMatrix;
if (conjC == 'n')
{
double scaleb = dmrginp.get_ninej()(lS->quanta[aqprime].get_s().getirrep() , rS->quanta[bqprime].get_s().getirrep(), cstateinfo->quanta[cqprime].get_s().getirrep(),
a.get_spin().getirrep(), 0, c.get_spin().getirrep(),
lS->quanta[aq].get_s().getirrep() , rS->quanta[bq].get_s().getirrep(), cstateinfo->quanta[cq].get_s().getirrep());
scaleb *= Symmetry::spatial_ninej(lS->quanta[aqprime].get_symm().getirrep() , rS->quanta[bqprime].get_symm().getirrep(), cstateinfo->quanta[cqprime].get_symm().getirrep(),
a.get_symm().getirrep(), 0, c.get_symm().getirrep(),
lS->quanta[aq].get_symm().getirrep() , rS->quanta[bq].get_symm().getirrep(), cstateinfo->quanta[cq].get_symm().getirrep());
MatrixTensorProduct (a.operator_element(aq, aqprime), a.conjugacy(), scale, unity, 'n', scaleb,
cel, rowstride, colstride);
}
else {
double scaleb = dmrginp.get_ninej()(lS->quanta[bqprime].get_s().getirrep(), rS->quanta[aqprime].get_s().getirrep() , cstateinfo->quanta[cqprime].get_s().getirrep(),
0, a.get_spin().getirrep(), c.get_spin().getirrep(),
lS->quanta[bq].get_s().getirrep(), rS->quanta[aq].get_s().getirrep() , cstateinfo->quanta[cq].get_s().getirrep());
scaleb *= Symmetry::spatial_ninej(lS->quanta[bqprime].get_symm().getirrep() , rS->quanta[aqprime].get_symm().getirrep(), cstateinfo->quanta[cqprime].get_symm().getirrep(),
0, a.get_symm().getirrep(), c.get_symm().getirrep(),
lS->quanta[bq].get_symm().getirrep() , rS->quanta[aq].get_symm().getirrep(), cstateinfo->quanta[cq].get_symm().getirrep());
if (a.get_fermion() && IsFermion (cstateinfo->leftStateInfo->quanta[bqprime]) ) scaleb *= -1.;
MatrixTensorProduct (unity, 'n', scaleb, a.operator_element(aq, aqprime), a.conjugacy(), scale,
cel, rowstride, colstride);
}
}
colstride += cstateinfo->unCollectedStateInfo->quantaStates[ oldToNewJ[oldj] ];
}
rowstride += cstateinfo->unCollectedStateInfo->quantaStates[ oldToNewI[oldi] ];
}
}
void SpinAdapted::operatorfunctions::Product (const SpinBlock *ablock, const Baseoperator<Matrix>& a, const Baseoperator<Matrix>& b, Baseoperator<Matrix>& c, double scale)
{
const StateInfo* astate = &ablock->get_stateInfo();
if (fabs(scale) < TINY) return;
int rows = c.nrows();
for (int cq = 0; cq < rows; ++cq)
for (int cqprime = 0; cqprime < rows; ++cqprime)
if (c.allowed(cq, cqprime))
for (int aprime = 0; aprime < rows; aprime++)
if (a.allowed(cq, aprime) && b.allowed(aprime, cqprime))
{
int apj = astate->quanta[aprime].get_s().getirrep(), cqj = astate->quanta[cq].get_s().getirrep(), cqpj = astate->quanta[cqprime].get_s().getirrep();
double factor = a.get_scaling(astate->quanta[cq], astate->quanta[aprime]);
factor *= b.get_scaling(astate->quanta[aprime], astate->quanta[cqprime]);
if(dmrginp.spinAdapted()){
factor *= racah(cqpj, b.get_spin().getirrep(), cqj, a.get_spin().getirrep(), apj, c.get_spin().getirrep()) * pow( (1.0*c.get_spin().getirrep()+1.0)*(1.0*apj+1.0), 0.5 )
*pow(-1.0, static_cast<int>((b.get_spin().getirrep()+a.get_spin().getirrep()-c.get_spin().getirrep())/2.0));
}
MatrixMultiply(a.operator_element(cq, aprime), a.conjugacy(), b.operator_element(aprime, cqprime), b.conjugacy(),
c.operator_element(cq, cqprime), scale*factor, 1.0);
}
}
void SpinAdapted::operatorfunctions::TensorProduct (const SpinBlock *ablock, const Baseoperator<Matrix>& a, const Baseoperator<Matrix>& b, const SpinBlock *cblock, const StateInfo *cstateinfo, Baseoperator<Matrix>& c, double scale, int num_thrds)
{
if (fabs(scale) < TINY) return;
int rows = c.nrows();
int cols = c.ncols();
#ifdef _OPENMP
#pragma omp parallel default(shared) num_threads(num_thrds)
#endif
{
#ifdef _OPENMP
#pragma omp for schedule(dynamic)
#endif
for (int cq = 0; cq < rows; ++cq)
for (int cqprime = 0; cqprime < cols; ++cqprime)
if (c.allowed(cq, cqprime)) {
TensorProductElement(ablock, a, b, cblock, cstateinfo, c, c.operator_element(cq, cqprime), cq, cqprime, scale);
}
}
}
void SpinAdapted::operatorfunctions::TensorProductElement(const SpinBlock *ablock, const Baseoperator<Matrix>& a, const Baseoperator<Matrix>& b, const SpinBlock *cblock, const StateInfo *cstateinfo, Baseoperator<Matrix>& c, Matrix& cel, int cq, int cqprime, double scale)
{
//cstateinfo is not used
//This function can be used for different bra and ket stateinfo.
if (fabs(scale) < TINY) return;
assert (a.get_initialised());
assert (b.get_initialised());
assert (c.get_initialised());
const StateInfo *ketstateinfo = &cblock->get_ketStateInfo(),
*brastateinfo = &cblock->get_braStateInfo();
const SpinBlock* bblock = (cblock->get_leftBlock() == ablock) ? cblock->get_rightBlock() : cblock->get_leftBlock();
const std::vector<int>& oldToNewI = brastateinfo->oldToNewState.at(cq);
const std::vector<int>& oldToNewJ = ketstateinfo->oldToNewState.at(cqprime);
const char conjC = (cblock->get_leftBlock() == ablock) ? 'n' : 't';
const StateInfo* lbraS = brastateinfo->leftStateInfo, *rbraS = brastateinfo->rightStateInfo;
const StateInfo* lketS = ketstateinfo->leftStateInfo, *rketS = ketstateinfo->rightStateInfo;
int rowstride = 0, colstride = 0;
int aq, aqprime, bq, bqprime;
//pout << "old to new size "<<oldToNewI.size()<<" "<<oldToNewJ.size()<<endl;
for (int oldi =0; oldi < oldToNewI.size(); oldi++) {
colstride = 0;
for (int oldj = 0; oldj < oldToNewJ.size(); oldj++)
{
if (conjC == 'n')
{
aq = brastateinfo->leftUnMapQuanta[ oldToNewI[oldi] ];
aqprime = ketstateinfo->leftUnMapQuanta[ oldToNewJ[oldj] ];
bq = brastateinfo->rightUnMapQuanta[ oldToNewI[oldi] ];
bqprime = ketstateinfo->rightUnMapQuanta[ oldToNewJ[oldj] ];
}
else
{
aq = brastateinfo->rightUnMapQuanta[ oldToNewI[oldi] ];
aqprime = ketstateinfo->rightUnMapQuanta[ oldToNewJ[oldj] ];
bq = brastateinfo->leftUnMapQuanta[ oldToNewI[oldi] ];
bqprime = ketstateinfo->leftUnMapQuanta[ oldToNewJ[oldj] ];
}
Real scaleA = scale;
Real scaleB = 1.0;
if (a.allowed(aq, aqprime) && b.allowed(bq, bqprime))
{
if (conjC == 'n')
{
scaleB = dmrginp.get_ninej()(lketS->quanta[aqprime].get_s().getirrep() , rketS->quanta[bqprime].get_s().getirrep(), ketstateinfo->quanta[cqprime].get_s().getirrep(),
a.get_spin().getirrep(), b.get_spin().getirrep(), c.get_spin().getirrep(),
lbraS->quanta[aq].get_s().getirrep() , rbraS->quanta[bq].get_s().getirrep(), brastateinfo->quanta[cq].get_s().getirrep());
scaleB *= Symmetry::spatial_ninej(lketS->quanta[aqprime].get_symm().getirrep() , rketS->quanta[bqprime].get_symm().getirrep(), ketstateinfo->quanta[cqprime].get_symm().getirrep(),
a.get_symm().getirrep(), b.get_symm().getirrep(), c.get_symm().getirrep(),
lbraS->quanta[aq].get_symm().getirrep() , rbraS->quanta[bq].get_symm().getirrep(), brastateinfo->quanta[cq].get_symm().getirrep());
scaleB *= b.get_scaling(rbraS->quanta[bq], rketS->quanta[bqprime]);
scaleA *= a.get_scaling(lbraS->quanta[aq], lketS->quanta[aqprime]);
if (b.get_fermion() && IsFermion (ketstateinfo->leftStateInfo->quanta [aqprime])) scaleB *= -1;
MatrixTensorProduct (a.operator_element(aq, aqprime), a.conjugacy(), scaleA,
b.operator_element(bq, bqprime), b.conjugacy(), scaleB, cel,rowstride, colstride);
}
else
{
scaleB = dmrginp.get_ninej()(lketS->quanta[bqprime].get_s().getirrep(), rketS->quanta[aqprime].get_s().getirrep() , ketstateinfo->quanta[cqprime].get_s().getirrep(),
b.get_spin().getirrep(), a.get_spin().getirrep(), c.get_spin().getirrep(),
lbraS->quanta[bq].get_s().getirrep(), rbraS->quanta[aq].get_s().getirrep() , brastateinfo->quanta[cq].get_s().getirrep());
scaleB *= Symmetry::spatial_ninej(lketS->quanta[bqprime].get_symm().getirrep() , rketS->quanta[aqprime].get_symm().getirrep(), ketstateinfo->quanta[cqprime].get_symm().getirrep(),
b.get_symm().getirrep(), a.get_symm().getirrep(), c.get_symm().getirrep(),
lbraS->quanta[bq].get_symm().getirrep() , rbraS->quanta[aq].get_symm().getirrep(), brastateinfo->quanta[cq].get_symm().getirrep());
scaleB *= b.get_scaling(lbraS->quanta[bq], lketS->quanta[bqprime]);
scaleA *= a.get_scaling(rbraS->quanta[aq], rketS->quanta[aqprime]);
if (a.get_fermion() && IsFermion (ketstateinfo->leftStateInfo->quanta[bqprime]) ) scaleB *= -1.;
MatrixTensorProduct (b.operator_element(bq, bqprime), b.conjugacy(), scaleB,
a.operator_element(aq, aqprime), a.conjugacy(), scaleA, cel, rowstride, colstride);
}
}
colstride += ketstateinfo->unCollectedStateInfo->quantaStates[ oldToNewJ[oldj] ];
}
rowstride += brastateinfo->unCollectedStateInfo->quantaStates[ oldToNewI[oldi] ];
}
}
/*
void SpinAdapted::operatorfunctions::TensorMultiply(const SpinBlock *ablock, const Baseoperator<Matrix>& a, const SpinBlock *cblock, Wavefunction& c, Wavefunction& v, const SpinQuantum dQ, double scale, int num_thrds)
{
// cannot be used for situation with different bra and ket
const int leftOpSz = cblock->get_leftBlock()->get_stateInfo().quanta.size ();
const int rightOpSz = cblock->get_rightBlock()->get_stateInfo().quanta.size ();
const StateInfo* rS = cblock->get_stateInfo().rightStateInfo, *lS = cblock->get_stateInfo().leftStateInfo;
assert (cblock->get_leftBlock() == ablock || cblock->get_rightBlock() == ablock);
if (cblock->get_leftBlock() == ablock)
{
//#pragma omp parallel default(shared) num_threads(num_thrds)
{
//#pragma omp for schedule(dynamic)
for (int lQ = 0; lQ < leftOpSz; ++lQ) {
for (int lQPrime = 0; lQPrime < leftOpSz; ++lQPrime)
{
if (a.allowed(lQ, lQPrime))
{
const Matrix& aop = a.operator_element(lQ, lQPrime);
for (int rQ = 0; rQ < rightOpSz; ++rQ)
if (c.allowed(lQPrime, rQ) && v.allowed(lQ, rQ))
{
double fac = scale;
fac *= dmrginp.get_ninej()(lS->quanta[lQPrime].get_s().getirrep(), rS->quanta[rQ].get_s().getirrep() , c.get_deltaQuantum(0).get_s().getirrep(),
a.get_spin().getirrep(), 0, a.get_spin().getirrep(),
lS->quanta[lQ].get_s().getirrep(), rS->quanta[rQ].get_s().getirrep() , v.get_deltaQuantum(0).get_s().getirrep());
fac *= Symmetry::spatial_ninej(lS->quanta[lQPrime].get_symm().getirrep() , rS->quanta[rQ].get_symm().getirrep(), c.get_symm().getirrep(),
a.get_symm().getirrep(), 0, a.get_symm().getirrep(),
lS->quanta[lQ].get_symm().getirrep() , rS->quanta[rQ].get_symm().getirrep(), v.get_symm().getirrep());
fac *= a.get_scaling(lS->quanta[lQ], lS->quanta[lQPrime]);
MatrixMultiply (aop, a.conjugacy(), c.operator_element(lQPrime, rQ), c.conjugacy(),
v.operator_element(lQ, rQ), fac);
}
}
}
}
}
}
else
{
//#pragma omp parallel default(shared) num_threads(num_thrds)
{
//#pragma omp for schedule(dynamic)
for (int rQ = 0; rQ < rightOpSz; ++rQ) {
for (int rQPrime = 0; rQPrime < rightOpSz; ++rQPrime)
if (a.allowed(rQ, rQPrime))
{
const Matrix& aop = a.operator_element(rQ, rQPrime);
for (int lQ = 0; lQ < leftOpSz; ++lQ)
if (v.allowed(lQ, rQ) && c.allowed(lQ, rQPrime)) {
double fac = scale;
fac *= dmrginp.get_ninej()(lS->quanta[lQ].get_s().getirrep(), rS->quanta[rQPrime].get_s().getirrep() , c.get_deltaQuantum(0).get_s().getirrep(),
0, a.get_spin().getirrep(), a.get_spin().getirrep(),
lS->quanta[lQ].get_s().getirrep(), rS->quanta[rQ].get_s().getirrep() , v.get_deltaQuantum(0).get_s().getirrep());
fac *= Symmetry::spatial_ninej(lS->quanta[lQ].get_symm().getirrep() , rS->quanta[rQPrime].get_symm().getirrep(), c.get_symm().getirrep(),
0, a.get_symm().getirrep(), a.get_symm().getirrep(),
lS->quanta[lQ].get_symm().getirrep() , rS->quanta[rQ].get_symm().getirrep(), v.get_symm().getirrep());
fac *= a.get_scaling(rS->quanta[rQ], rS->quanta[rQPrime]);
double parity = a.get_fermion() && IsFermion(lS->quanta[lQ]) ? -1 : 1;
MatrixMultiply (c.operator_element(lQ, rQPrime), c.conjugacy(),
aop, TransposeOf(a.conjugacy()), v.operator_element(lQ, rQ), fac*parity);
}
}
}
}
}
}
*/
void SpinAdapted::operatorfunctions::TensorMultiply(const SpinBlock *ablock, const Baseoperator<Matrix>& a, const SpinBlock *cblock, Wavefunction& c, Wavefunction& v, const SpinQuantum dQ, double scale, int num_thrds)
{
// cannot be used for situation with different bra and ket
const int leftBraOpSz = cblock->get_leftBlock()->get_braStateInfo().quanta.size ();
const int leftKetOpSz = cblock->get_leftBlock()->get_ketStateInfo().quanta.size ();
const int rightBraOpSz = cblock->get_rightBlock()->get_braStateInfo().quanta.size ();
const int rightKetOpSz = cblock->get_rightBlock()->get_ketStateInfo().quanta.size ();
const StateInfo* lbraS = cblock->get_braStateInfo().leftStateInfo, *lketS = cblock->get_ketStateInfo().leftStateInfo;
const StateInfo* rbraS = cblock->get_braStateInfo().rightStateInfo, *rketS = cblock->get_ketStateInfo().rightStateInfo;
assert (cblock->get_leftBlock() == ablock || cblock->get_rightBlock() == ablock);
if (cblock->get_leftBlock() == ablock)
{
//#pragma omp parallel default(shared) num_threads(num_thrds)
{
//#pragma omp for schedule(dynamic)
for (int lQ = 0; lQ < leftBraOpSz; ++lQ) {
for (int lQPrime = 0; lQPrime < leftKetOpSz; ++lQPrime)
{
if (a.allowed(lQ, lQPrime))
{
const Matrix& aop = a.operator_element(lQ, lQPrime);
for (int rQ = 0; rQ < rightKetOpSz; ++rQ)
if (c.allowed(lQPrime, rQ) && v.allowed(lQ, rQ))
{
double fac=scale;
fac *= dmrginp.get_ninej()(lketS->quanta[lQPrime].get_s().getirrep(), rketS->quanta[rQ].get_s().getirrep() , c.get_deltaQuantum(0).get_s().getirrep(),
a.get_spin().getirrep(), 0, a.get_spin().getirrep(),
lbraS->quanta[lQ].get_s().getirrep(), rketS->quanta[rQ].get_s().getirrep() , v.get_deltaQuantum(0).get_s().getirrep());
fac *= Symmetry::spatial_ninej(lketS->quanta[lQPrime].get_symm().getirrep() , rketS->quanta[rQ].get_symm().getirrep(), c.get_symm().getirrep(),
a.get_symm().getirrep(), 0, a.get_symm().getirrep(),
lbraS->quanta[lQ].get_symm().getirrep() , rketS->quanta[rQ].get_symm().getirrep(), v.get_symm().getirrep());
fac *= a.get_scaling(lbraS->quanta[lQ], lketS->quanta[lQPrime]);
MatrixMultiply (aop, a.conjugacy(), c.operator_element(lQPrime, rQ), c.conjugacy(),
v.operator_element(lQ, rQ), fac);
}
}
}
}
}
}
else
{
//#pragma omp parallel default(shared) num_threads(num_thrds)
{
//#pragma omp for schedule(dynamic)
for (int rQ = 0; rQ < rightBraOpSz; ++rQ) {
for (int rQPrime = 0; rQPrime < rightKetOpSz; ++rQPrime)
if (a.allowed(rQ, rQPrime))
{
const Matrix& aop = a.operator_element(rQ, rQPrime);
for (int lQPrime = 0; lQPrime < leftKetOpSz; ++lQPrime)
if (v.allowed(lQPrime, rQ) && c.allowed(lQPrime, rQPrime)) {
double fac = scale;
fac *= dmrginp.get_ninej()(lketS->quanta[lQPrime].get_s().getirrep(), rketS->quanta[rQPrime].get_s().getirrep() , c.get_deltaQuantum(0).get_s().getirrep(),
0, a.get_spin().getirrep(), a.get_spin().getirrep(),
lketS->quanta[lQPrime].get_s().getirrep(), rbraS->quanta[rQ].get_s().getirrep() , v.get_deltaQuantum(0).get_s().getirrep());
fac *= Symmetry::spatial_ninej(lketS->quanta[lQPrime].get_symm().getirrep() , rketS->quanta[rQPrime].get_symm().getirrep(), c.get_symm().getirrep(),
0, a.get_symm().getirrep(), a.get_symm().getirrep(),
lketS->quanta[lQPrime].get_symm().getirrep() , rbraS->quanta[rQ].get_symm().getirrep(), v.get_symm().getirrep());
fac *= a.get_scaling(rbraS->quanta[rQ], rketS->quanta[rQPrime]);
double parity = a.get_fermion() && IsFermion(lketS->quanta[lQPrime]) ? -1 : 1;
MatrixMultiply (c.operator_element(lQPrime, rQPrime), c.conjugacy(),
aop, TransposeOf(a.conjugacy()), v.operator_element(lQPrime, rQ), fac*parity);
}
}
}
}
}
}
void SpinAdapted::operatorfunctions::braTensorMultiply(const SpinBlock *ablock, const Baseoperator<Matrix>& a, const SpinBlock *cblock, Wavefunction& c, Wavefunction& v, double scale, int num_thrds)
{
//It get a result of <\Psi|O.
//It is similar to Transposeview(O)|\Psi>
//However, spin coupling coefficients is different for transpose.
//It is convenient for npdm with intermediate.
const int leftBraOpSz = cblock->get_leftBlock()->get_braStateInfo().quanta.size ();
const int leftKetOpSz = cblock->get_leftBlock()->get_ketStateInfo().quanta.size ();
const int rightBraOpSz = cblock->get_rightBlock()->get_braStateInfo().quanta.size ();
const int rightKetOpSz = cblock->get_rightBlock()->get_ketStateInfo().quanta.size ();
const StateInfo* lbraS = cblock->get_braStateInfo().leftStateInfo, *lketS = cblock->get_ketStateInfo().leftStateInfo;
const StateInfo* rbraS = cblock->get_braStateInfo().rightStateInfo, *rketS = cblock->get_ketStateInfo().rightStateInfo;
assert (cblock->get_leftBlock() == ablock || cblock->get_rightBlock() == ablock);
if (cblock->get_leftBlock() == ablock)
{
//#pragma omp parallel default(shared) num_threads(num_thrds)
{
//#pragma omp for schedule(dynamic)
for (int lQ = 0; lQ < leftKetOpSz; ++lQ) {
for (int lQPrime = 0; lQPrime < leftBraOpSz; ++lQPrime)
{
if (a.allowed(lQPrime, lQ))
{
const Matrix& aop = a.operator_element(lQPrime, lQ);
for (int rQ = 0; rQ < rightKetOpSz; ++rQ)
if (c.allowed(lQPrime, rQ) && v.allowed(lQ, rQ))
{
double fac=scale;
fac *= dmrginp.get_ninej()(lbraS->quanta[lQPrime].get_s().getirrep(), rbraS->quanta[rQ].get_s().getirrep() , c.get_deltaQuantum(0).get_s().getirrep(),
(-a.get_spin()).getirrep(), 0, (-a.get_spin()).getirrep(),
lketS->quanta[lQ].get_s().getirrep(), rbraS->quanta[rQ].get_s().getirrep() , v.get_deltaQuantum(0).get_s().getirrep());
fac *= Symmetry::spatial_ninej(lbraS->quanta[lQPrime].get_symm().getirrep() , rbraS->quanta[rQ].get_symm().getirrep(), c.get_symm().getirrep(),
(-a.get_symm()).getirrep(), 0, (-a.get_symm()).getirrep(),
lketS->quanta[lQ].get_symm().getirrep() , rbraS->quanta[rQ].get_symm().getirrep(), v.get_symm().getirrep());
fac *= a.get_scaling(lbraS->quanta[lQPrime], lketS->quanta[lQ]);
MatrixMultiply (aop, TransposeOf(a.conjugacy()), c.operator_element(lQPrime, rQ), c.conjugacy(),
v.operator_element(lQ, rQ), fac);
}
}
}
}
}
}
else
{
//#pragma omp parallel default(shared) num_threads(num_thrds)
{
//#pragma omp for schedule(dynamic)
for (int rQ = 0; rQ < rightKetOpSz; ++rQ) {
for (int rQPrime = 0; rQPrime < rightBraOpSz; ++rQPrime)
if (a.allowed(rQPrime, rQ))
{
const Matrix& aop = a.operator_element(rQ, rQPrime);
for (int lQPrime = 0; lQPrime < leftBraOpSz; ++lQPrime)
if (v.allowed(lQPrime, rQ) && c.allowed(lQPrime, rQPrime)) {
double fac = scale;
fac *= dmrginp.get_ninej()(lbraS->quanta[lQPrime].get_s().getirrep(), rbraS->quanta[rQPrime].get_s().getirrep() , c.get_deltaQuantum(0).get_s().getirrep(),
0, (-a.get_spin()).getirrep(), (-a.get_spin()).getirrep(),
lbraS->quanta[lQPrime].get_s().getirrep(), rketS->quanta[rQ].get_s().getirrep() , v.get_deltaQuantum(0).get_s().getirrep());
fac *= Symmetry::spatial_ninej(lbraS->quanta[lQPrime].get_symm().getirrep() , rbraS->quanta[rQPrime].get_symm().getirrep(), c.get_symm().getirrep(),
0, (-a.get_symm()).getirrep(), (-a.get_symm()).getirrep(),
lbraS->quanta[lQPrime].get_symm().getirrep() , rketS->quanta[rQ].get_symm().getirrep(), v.get_symm().getirrep());
fac *= a.get_scaling(rbraS->quanta[rQPrime], rketS->quanta[rQ]);
double parity = a.get_fermion() && IsFermion(lbraS->quanta[lQPrime]) ? -1 : 1;
MatrixMultiply (c.operator_element(lQPrime, rQPrime), c.conjugacy(),
aop, a.conjugacy(), v.operator_element(lQPrime, rQ), fac*parity);
}
}
}
}
}
}
void SpinAdapted::operatorfunctions::TensorMultiply(const SpinBlock *ablock, const Baseoperator<Matrix>& a, const Baseoperator<Matrix>& b, const SpinBlock *cblock, Wavefunction& c, Wavefunction& v, const SpinQuantum opQ, double scale)
{
// can be used for situation with different bra and ket
const int leftBraOpSz = cblock->get_leftBlock()->get_braStateInfo().quanta.size ();
const int leftKetOpSz = cblock->get_leftBlock()->get_ketStateInfo().quanta.size ();
const int rightBraOpSz = cblock->get_rightBlock()->get_braStateInfo().quanta.size ();
const int rightKetOpSz = cblock->get_rightBlock()->get_ketStateInfo().quanta.size ();
const StateInfo* lbraS = cblock->get_braStateInfo().leftStateInfo, *rbraS = cblock->get_braStateInfo().rightStateInfo;
const StateInfo* lketS = cblock->get_ketStateInfo().leftStateInfo, *rketS = cblock->get_ketStateInfo().rightStateInfo;
const char conjC = (cblock->get_leftBlock() == ablock) ? 'n' : 't';
const Baseoperator<Matrix>& leftOp = (conjC == 'n') ? a : b; // an ugly hack to support the release memory optimisation
const Baseoperator<Matrix>& rightOp = (conjC == 'n') ? b : a;
const char leftConj = (conjC == 'n') ? a.conjugacy() : b.conjugacy();
const char rightConj = (conjC == 'n') ? b.conjugacy() : a.conjugacy();
int totalmem =0;
for (int lQrQPrime = 0; lQrQPrime<leftBraOpSz*rightKetOpSz; ++lQrQPrime)
{
int rQPrime = lQrQPrime%rightKetOpSz, lQ = lQrQPrime/rightKetOpSz;
for (int lQPrime = 0; lQPrime < leftKetOpSz; lQPrime++)
if (leftOp.allowed(lQ, lQPrime) && c.allowed(lQPrime, rQPrime))
{
Matrix m; m.ReSize(lbraS->getquantastates(lQ), rketS->getquantastates(rQPrime));
double factor = leftOp.get_scaling(lbraS->quanta[lQ], lketS->quanta[lQPrime]);
MatrixMultiply (leftOp.operator_element(lQ, lQPrime), leftConj, c.operator_element(lQPrime, rQPrime), 'n',
m, factor, 0.);
for (int rQ = 0; rQ<rightBraOpSz; rQ++) {
if (v.allowed(lQ, rQ) && rightOp.allowed(rQ, rQPrime)) {
double factor = scale;
factor *= dmrginp.get_ninej()(lketS->quanta[lQPrime].get_s().getirrep(), rketS->quanta[rQPrime].get_s().getirrep() , c.get_deltaQuantum(0).get_s().getirrep(),
leftOp.get_spin().getirrep(), rightOp.get_spin().getirrep(), opQ.get_s().getirrep(),
lbraS->quanta[lQ].get_s().getirrep(), rbraS->quanta[rQ].get_s().getirrep() , v.get_deltaQuantum(0).get_s().getirrep());
factor *= Symmetry::spatial_ninej(lketS->quanta[lQPrime].get_symm().getirrep() , rketS->quanta[rQPrime].get_symm().getirrep(), c.get_symm().getirrep(),
leftOp.get_symm().getirrep(), rightOp.get_symm().getirrep(), opQ.get_symm().getirrep(),
lbraS->quanta[lQ].get_symm().getirrep() , rbraS->quanta[rQ].get_symm().getirrep(), v.get_symm().getirrep());
int parity = rightOp.get_fermion() && IsFermion(lketS->quanta[lQPrime]) ? -1 : 1;
factor *= rightOp.get_scaling(rbraS->quanta[rQ], rketS->quanta[rQPrime]);
MatrixMultiply (m, 'n', rightOp(rQ, rQPrime), TransposeOf(rightOp.conjugacy()), v.operator_element(lQ, rQ), factor*parity);
}
}
}
}
}
/*
void SpinAdapted::operatorfunctions::TensorMultiply(const SpinBlock *ablock, const Baseoperator<Matrix>& a, const Baseoperator<Matrix>& b, const SpinBlock *cblock, Wavefunction& c, Wavefunction& v, const SpinQuantum opQ, double scale)
{
// can be used for situation with different bra and ket
const int leftBraOpSz = cblock->get_leftBlock()->get_braStateInfo().quanta.size ();
const int leftKetOpSz = cblock->get_leftBlock()->get_ketStateInfo().quanta.size ();
const int rightBraOpSz = cblock->get_rightBlock()->get_braStateInfo().quanta.size ();
const int rightKetOpSz = cblock->get_rightBlock()->get_ketStateInfo().quanta.size ();
const StateInfo* lbraS = cblock->get_braStateInfo().leftStateInfo, *rbraS = cblock->get_braStateInfo().rightStateInfo;
const StateInfo* lketS = cblock->get_ketStateInfo().leftStateInfo, *rketS = cblock->get_ketStateInfo().rightStateInfo;
const char conjC = (cblock->get_leftBlock() == ablock) ? 'n' : 't';
const Baseoperator<Matrix>& leftOp = (conjC == 'n') ? a : b; // an ugly hack to support the release memory optimisation
const Baseoperator<Matrix>& rightOp = (conjC == 'n') ? b : a;
const char leftConj = (conjC == 'n') ? a.conjugacy() : b.conjugacy();
const char rightConj = (conjC == 'n') ? b.conjugacy() : a.conjugacy();
Wavefunction u;
u.resize(leftBraOpSz*leftKetOpSz, rightKetOpSz);
int totalmem =0;
{
for (int lQrQPrime = 0; lQrQPrime<leftBraOpSz*rightKetOpSz; ++lQrQPrime)
{
int rQPrime = lQrQPrime%rightKetOpSz, lQ = lQrQPrime/rightKetOpSz;
for (int lQPrime = 0; lQPrime < leftKetOpSz; lQPrime++)
if (leftOp.allowed(lQ, lQPrime) && c.allowed(lQPrime, rQPrime))
{
int lindex = lQ*leftKetOpSz+lQPrime;
u.allowed(lindex, rQPrime) = true;
u(lindex,rQPrime).ReSize(lbraS->getquantastates(lQ), rketS->getquantastates(rQPrime));
double factor = leftOp.get_scaling(lbraS->quanta[lQ], lketS->quanta[lQPrime]);
MatrixMultiply (leftOp.operator_element(lQ, lQPrime), leftConj, c.operator_element(lQPrime, rQPrime), 'n',
u.operator_element(lindex, rQPrime), factor, 0.);
}
}
}
pout << "after first step in tensormultiply"<<endl;
mcheck("before davidson but after all blocks are built");
{
for (int lQrQ = 0; lQrQ<leftBraOpSz*rightBraOpSz; ++lQrQ)
{
int rQ = lQrQ%rightBraOpSz, lQ=lQrQ/rightBraOpSz;
if (v.allowed(lQ, rQ))
for (int rQPrime = 0; rQPrime < rightKetOpSz; rQPrime++)
if (rightOp.allowed(rQ, rQPrime))
for (int lQPrime = 0; lQPrime < leftKetOpSz; lQPrime++)
if (leftOp.allowed(lQ, lQPrime) && u.allowed(lQ*leftKetOpSz+lQPrime, rQPrime))
{
int lindex = lQ*leftKetOpSz+lQPrime;
double factor = scale;
factor *= dmrginp.get_ninej()(lketS->quanta[lQPrime].get_s().getirrep(), rketS->quanta[rQPrime].get_s().getirrep() , c.get_deltaQuantum(0).get_s().getirrep(),
leftOp.get_spin().getirrep(), rightOp.get_spin().getirrep(), opQ.get_s().getirrep(),
lbraS->quanta[lQ].get_s().getirrep(), rbraS->quanta[rQ].get_s().getirrep() , v.get_deltaQuantum(0).get_s().getirrep());
factor *= Symmetry::spatial_ninej(lketS->quanta[lQPrime].get_symm().getirrep() , rketS->quanta[rQPrime].get_symm().getirrep(), c.get_symm().getirrep(),
leftOp.get_symm().getirrep(), rightOp.get_symm().getirrep(), opQ.get_symm().getirrep(),
lbraS->quanta[lQ].get_symm().getirrep() , rbraS->quanta[rQ].get_symm().getirrep(), v.get_symm().getirrep());
int parity = rightOp.get_fermion() && IsFermion(lketS->quanta[lQPrime]) ? -1 : 1;
factor *= rightOp.get_scaling(rbraS->quanta[rQ], rketS->quanta[rQPrime]);
MatrixMultiply (u.operator_element(lindex, rQPrime), 'n',
rightOp(rQ, rQPrime), TransposeOf(rightOp.conjugacy()), v.operator_element(lQ, rQ), factor*parity);
}
}
}
}
*/
void SpinAdapted::operatorfunctions::OperatorScaleAdd(double scaleV, const SpinBlock& b, const Baseoperator<Matrix>& op1, Baseoperator<Matrix>& op2)
{
const StateInfo& s = b.get_stateInfo();
for (int lQ = 0; lQ< op2.nrows(); lQ++)
for (int rQ = 0; rQ<op2.ncols(); rQ++)
if (op2.allowed(lQ, rQ) && op1.allowed(lQ,rQ))
{
double factor = op1.get_scaling(s.quanta[lQ], s.quanta[rQ]);
if (op1.conjugacy() == 't')
MatrixScaleAdd(scaleV*factor, op1.operator_element(lQ,rQ).t(), op2.operator_element(lQ,rQ));
else
MatrixScaleAdd(scaleV*factor, op1.operator_element(lQ,rQ), op2.operator_element(lQ,rQ));
}
}
void SpinAdapted::operatorfunctions::MultiplyProduct(const Baseoperator<Matrix>& a, const Baseoperator<Matrix>& b, Baseoperator<Matrix>& c, Real scale)
{
if (fabs(scale) < TINY) return;
const int aSz = a.nrows();
const int aSzPrime = a.ncols();
const int bSzPrime = b.ncols();
assert (a.ncols() == b.nrows() && c.nrows() == a.nrows() &&
c.ncols() == b.ncols());
for (int aQ = 0; aQ < aSz; ++aQ)
for (int aQPrime = 0; aQPrime < aSzPrime; ++aQPrime)
for (int bQPrime = 0; bQPrime < bSzPrime; ++bQPrime)
{
if (a.allowed(aQ, aQPrime) && b.allowed(aQPrime, bQPrime) && c.allowed(aQ, bQPrime) ) {
MatrixMultiply (a.operator_element(aQ, aQPrime), a.conjugacy(), b.operator_element(aQPrime, bQPrime), b.conjugacy(),
c.operator_element(aQ, bQPrime), scale);
}
}
}
void SpinAdapted::operatorfunctions::TensorTrace (const SpinBlock *ablock, const Baseoperator<Matrix>& a, const SpinBlock* cblock, const StateInfo* cstateinfo, DiagonalMatrix& cDiagonal, Real scale)
{
if (fabs(scale) < TINY) return;
try
{
assert (a.get_initialised());
const char conjC = (ablock == cblock->get_leftBlock()) ? 'n' : 't';
const int aSz = ablock->get_stateInfo().quanta.size ();
const int bSz = (conjC == 'n') ? cblock->get_stateInfo().rightStateInfo->quanta.size () : cblock->get_stateInfo().leftStateInfo->quanta.size ();
const StateInfo& s = cblock->get_stateInfo();
const StateInfo* lS = s.leftStateInfo, *rS = s.rightStateInfo;
for (int aQ = 0; aQ < aSz; ++aQ)
if (a.allowed(aQ, aQ))
for (int bQ = 0; bQ < bSz; ++bQ)
if (s.allowedQuanta (aQ, bQ, conjC))
{
int cQ = s.quantaMap (aQ, bQ, conjC)[0];
for (int cQState = 0; cQState < s.quantaStates [cQ]; ++cQState)
{
Real scaleB = 1.0;
int aQState;
int bQState;
if (conjC == 'n')
{
s.UnMapQuantumState (cQState, s.rightStateInfo->quantaStates [bQ], aQState, bQState);
scaleB *= dmrginp.get_ninej()(lS->quanta[aQ].get_s().getirrep() , rS->quanta[bQ].get_s().getirrep(), cstateinfo->quanta[cQ].get_s().getirrep(),
a.get_spin().getirrep(), 0, 0,
lS->quanta[aQ].get_s().getirrep() , rS->quanta[bQ].get_s().getirrep(), cstateinfo->quanta[cQ].get_s().getirrep());
scaleB *= Symmetry::spatial_ninej(lS->quanta[aQ].get_symm().getirrep() , rS->quanta[bQ].get_symm().getirrep(), cstateinfo->quanta[cQ].get_symm().getirrep(),
a.get_symm().getirrep(), 0, 0,
lS->quanta[aQ].get_symm().getirrep() , rS->quanta[bQ].get_symm().getirrep(), cstateinfo->quanta[cQ].get_symm().getirrep());
}
else
{
scaleB *= dmrginp.get_ninej()(lS->quanta[bQ].get_s().getirrep() , rS->quanta[aQ].get_s().getirrep(), cstateinfo->quanta[cQ].get_s().getirrep(),
0, a.get_spin().getirrep(), 0,
lS->quanta[bQ].get_s().getirrep() , rS->quanta[aQ].get_s().getirrep(), cstateinfo->quanta[cQ].get_s().getirrep());
scaleB *= Symmetry::spatial_ninej(lS->quanta[bQ].get_symm().getirrep() , rS->quanta[aQ].get_symm().getirrep(), cstateinfo->quanta[cQ].get_symm().getirrep(),
0, a.get_symm().getirrep(), 0,
lS->quanta[bQ].get_symm().getirrep() , rS->quanta[aQ].get_symm().getirrep(), cstateinfo->quanta[cQ].get_symm().getirrep());
if (a.get_fermion()&& IsFermion(lS->quanta[bQ])) scaleB *= -1.0;
s.UnMapQuantumState (cQState, s.rightStateInfo->quantaStates [aQ], bQState, aQState);
}
cDiagonal(s.unBlockedIndex [cQ] + cQState + 1) += scale * scaleB * a.operator_element(aQ, aQ)(aQState + 1, aQState + 1);
}
}
}
catch (Exception)
{
pout << Exception::what () << endl;
abort ();
}
}
void SpinAdapted::operatorfunctions::TensorProduct (const SpinBlock *ablock, const Baseoperator<Matrix>& a, const Baseoperator<Matrix>& b, const SpinBlock* cblock, const StateInfo* cstateinfo, DiagonalMatrix& cDiagonal, double scale)
{
if (fabs(scale) < TINY) return;
const int aSz = a.nrows();
const int bSz = b.nrows();
const char conjC = (cblock->get_leftBlock() == ablock) ? 'n' : 't';
const SpinBlock* bblock = (cblock->get_leftBlock() == ablock) ? cblock->get_rightBlock() : cblock->get_leftBlock();
const StateInfo& s = cblock->get_stateInfo();
const StateInfo* lS = s.leftStateInfo, *rS = s.rightStateInfo;
for (int aQ = 0; aQ < aSz; ++aQ)
if (a.allowed(aQ, aQ))
for (int bQ = 0; bQ < bSz; ++bQ)
if (b.allowed(bQ, bQ))
if (s.allowedQuanta (aQ, bQ, conjC))
{
int cQ = s.quantaMap (aQ, bQ, conjC)[0];
Real scaleA = scale;
Real scaleB = 1;
if (conjC == 'n')
{
scaleB *= dmrginp.get_ninej()(lS->quanta[aQ].get_s().getirrep() , rS->quanta[bQ].get_s().getirrep(), cstateinfo->quanta[cQ].get_s().getirrep(),
a.get_spin().getirrep(), b.get_spin().getirrep(), 0,
lS->quanta[aQ].get_s().getirrep() , rS->quanta[bQ].get_s().getirrep(), cstateinfo->quanta[cQ].get_s().getirrep());
scaleB *= Symmetry::spatial_ninej(lS->quanta[aQ].get_symm().getirrep() , rS->quanta[bQ].get_symm().getirrep(), cstateinfo->quanta[cQ].get_symm().getirrep(),
a.get_symm().getirrep(), b.get_symm().getirrep(), 0,
lS->quanta[aQ].get_symm().getirrep() , rS->quanta[bQ].get_symm().getirrep(), cstateinfo->quanta[cQ].get_symm().getirrep());
if (b.get_fermion() && IsFermion (lS->quanta [aQ])) scaleB *= -1.0;
for (int aQState = 0; aQState < lS->quantaStates[aQ] ; aQState++)
MatrixDiagonalScale(a.operator_element(aQ, aQ)(aQState+1, aQState+1)*scaleA*scaleB, b.operator_element(bQ, bQ),
cDiagonal.Store()+s.unBlockedIndex[cQ]+aQState*rS->quantaStates[bQ]);
}
else
{
scaleB *= dmrginp.get_ninej()(lS->quanta[bQ].get_s().getirrep() , rS->quanta[aQ].get_s().getirrep(), cstateinfo->quanta[cQ].get_s().getirrep(),
b.get_spin().getirrep(), a.get_spin().getirrep(), 0,
lS->quanta[bQ].get_s().getirrep() , rS->quanta[aQ].get_s().getirrep(), cstateinfo->quanta[cQ].get_s().getirrep());
scaleB *= Symmetry::spatial_ninej(lS->quanta[bQ].get_symm().getirrep() , rS->quanta[aQ].get_symm().getirrep(), cstateinfo->quanta[cQ].get_symm().getirrep(),
b.get_symm().getirrep(), a.get_symm().getirrep(), 0,
lS->quanta[bQ].get_symm().getirrep() , rS->quanta[aQ].get_symm().getirrep(), cstateinfo->quanta[cQ].get_symm().getirrep());
if (a.get_fermion()&& IsFermion(lS->quanta[bQ])) scaleB *= -1.0;
for (int bQState = 0; bQState < lS->quantaStates[bQ] ; bQState++)
MatrixDiagonalScale(b.operator_element(bQ, bQ)(bQState+1, bQState+1)*scaleA*scaleB, a.operator_element(aQ, aQ),
cDiagonal.Store()+s.unBlockedIndex[cQ]+bQState*rS->quantaStates[aQ]);
}
}
}
void SpinAdapted::operatorfunctions::TensorProduct (const Baseoperator<Matrix>& a, const Baseoperator<Matrix>& b, const StateInfo *brastateinfo, const StateInfo *ketstateinfo, Baseoperator<Matrix>& c, double scale, bool aIsLeftOp, int num_thrds)
{
if (fabs(scale) < TINY) return;
int rows = c.nrows();
int cols = c.ncols();
#ifdef _OPENMP
#pragma omp parallel default(shared) num_threads(num_thrds)
#endif
{
#ifdef _OPENMP
#pragma omp for schedule(dynamic)
#endif
for (int cq = 0; cq < rows; ++cq)
for (int cqprime = 0; cqprime < cols; ++cqprime)
if (c.allowed(cq, cqprime)) {
TensorProductElement(a, b, brastateinfo, ketstateinfo, c, c.operator_element(cq, cqprime), cq, cqprime, aIsLeftOp, scale);
}
}
}
void SpinAdapted::operatorfunctions::TensorProductElement(const Baseoperator<Matrix>& a, const Baseoperator<Matrix>& b, const StateInfo *brastateinfo, const StateInfo *ketstateinfo, Baseoperator<Matrix>& c, Matrix& cel, int cq, int cqprime, bool aIsLeftOp, double scale)
{
if (fabs(scale) < TINY) return;
assert (a.get_initialised());
assert (b.get_initialised());
assert (c.get_initialised());
const std::vector<int>& oldToNewI = brastateinfo->oldToNewState.at(cq);
const std::vector<int>& oldToNewJ = ketstateinfo->oldToNewState.at(cqprime);
const char conjC = aIsLeftOp ? 'n' : 't';
const StateInfo* lbraS = brastateinfo->leftStateInfo, *rbraS = brastateinfo->rightStateInfo;
const StateInfo* lketS = ketstateinfo->leftStateInfo, *rketS = ketstateinfo->rightStateInfo;
int rowstride = 0, colstride = 0;
int aq, aqprime, bq, bqprime;
//pout << "old to new size "<<oldToNewI.size()<<" "<<oldToNewJ.size()<<endl;
for (int oldi =0; oldi < oldToNewI.size(); oldi++) {
colstride = 0;
for (int oldj = 0; oldj < oldToNewJ.size(); oldj++)
{
if (conjC == 'n')
{
aq = brastateinfo->leftUnMapQuanta[ oldToNewI[oldi] ];
aqprime = ketstateinfo->leftUnMapQuanta[ oldToNewJ[oldj] ];
bq = brastateinfo->rightUnMapQuanta[ oldToNewI[oldi] ];
bqprime = ketstateinfo->rightUnMapQuanta[ oldToNewJ[oldj] ];
}
else
{
aq = brastateinfo->rightUnMapQuanta[ oldToNewI[oldi] ];
aqprime = ketstateinfo->rightUnMapQuanta[ oldToNewJ[oldj] ];
bq = brastateinfo->leftUnMapQuanta[ oldToNewI[oldi] ];
bqprime = ketstateinfo->leftUnMapQuanta[ oldToNewJ[oldj] ];
}
Real scaleA = scale;
Real scaleB = 1.0;
if (a.allowed(aq, aqprime) && b.allowed(bq, bqprime))
{
if (conjC == 'n')
{
scaleB = dmrginp.get_ninej()(lketS->quanta[aqprime].get_s().getirrep() , rketS->quanta[bqprime].get_s().getirrep(), ketstateinfo->quanta[cqprime].get_s().getirrep(),
a.get_spin().getirrep(), b.get_spin().getirrep(), c.get_spin().getirrep(),
lbraS->quanta[aq].get_s().getirrep() , rbraS->quanta[bq].get_s().getirrep(), brastateinfo->quanta[cq].get_s().getirrep());
scaleB *= Symmetry::spatial_ninej(lketS->quanta[aqprime].get_symm().getirrep() , rketS->quanta[bqprime].get_symm().getirrep(), ketstateinfo->quanta[cqprime].get_symm().getirrep(),
a.get_symm().getirrep(), b.get_symm().getirrep(), c.get_symm().getirrep(),
lbraS->quanta[aq].get_symm().getirrep() , rbraS->quanta[bq].get_symm().getirrep(), brastateinfo->quanta[cq].get_symm().getirrep());
scaleB *= b.get_scaling(rbraS->quanta[bq], rketS->quanta[bqprime]);
scaleA *= a.get_scaling(lbraS->quanta[aq], lketS->quanta[aqprime]);
if (b.get_fermion() && IsFermion (ketstateinfo->leftStateInfo->quanta [aqprime])) scaleB *= -1;
MatrixTensorProduct (a.operator_element(aq, aqprime), a.conjugacy(), scaleA,
b.operator_element(bq, bqprime), b.conjugacy(), scaleB, cel,rowstride, colstride);
}
else
{
scaleB = dmrginp.get_ninej()(lketS->quanta[bqprime].get_s().getirrep(), rketS->quanta[aqprime].get_s().getirrep() , ketstateinfo->quanta[cqprime].get_s().getirrep(),
b.get_spin().getirrep(), a.get_spin().getirrep(), c.get_spin().getirrep(),
lbraS->quanta[bq].get_s().getirrep(), rbraS->quanta[aq].get_s().getirrep() , brastateinfo->quanta[cq].get_s().getirrep());
scaleB *= Symmetry::spatial_ninej(lketS->quanta[bqprime].get_symm().getirrep() , rketS->quanta[aqprime].get_symm().getirrep(), ketstateinfo->quanta[cqprime].get_symm().getirrep(),
b.get_symm().getirrep(), a.get_symm().getirrep(), c.get_symm().getirrep(),
lbraS->quanta[bq].get_symm().getirrep() , rbraS->quanta[aq].get_symm().getirrep(), brastateinfo->quanta[cq].get_symm().getirrep());
scaleB *= b.get_scaling(lbraS->quanta[bq], lketS->quanta[bqprime]);
scaleA *= a.get_scaling(rbraS->quanta[aq], rketS->quanta[aqprime]);
if (a.get_fermion() && IsFermion (ketstateinfo->leftStateInfo->quanta[bqprime]) ) scaleB *= -1.;
MatrixTensorProduct (b.operator_element(bq, bqprime), b.conjugacy(), scaleB,
a.operator_element(aq, aqprime), a.conjugacy(), scaleA, cel, rowstride, colstride);
}
}
colstride += ketstateinfo->unCollectedStateInfo->quantaStates[ oldToNewJ[oldj] ];
}
rowstride += brastateinfo->unCollectedStateInfo->quantaStates[ oldToNewI[oldi] ];
}
}
void SpinAdapted::operatorfunctions::TensorMultiply(const Baseoperator<Matrix>& a, const Baseoperator<Matrix>& b, const StateInfo *brastateinfo, const StateInfo *ketstateinfo, const Wavefunction& c, Wavefunction& v, const SpinQuantum opQ, bool aIsLeftOp, double scale)
{
const int leftBraOpSz = brastateinfo->leftStateInfo->quanta.size ();
const int leftKetOpSz = ketstateinfo->leftStateInfo->quanta.size ();
const int rightBraOpSz = brastateinfo->rightStateInfo->quanta.size ();
const int rightKetOpSz = ketstateinfo->rightStateInfo->quanta.size ();
const StateInfo* lbraS = brastateinfo->leftStateInfo, *rbraS = brastateinfo->rightStateInfo;
const StateInfo* lketS = ketstateinfo->leftStateInfo, *rketS = ketstateinfo->rightStateInfo;
const char conjC = (aIsLeftOp) ? 'n' : 't';
const Baseoperator<Matrix>& leftOp = (conjC == 'n') ? a : b; // an ugly hack to support the release memory optimisation
const Baseoperator<Matrix>& rightOp = (conjC == 'n') ? b : a;
const char leftConj = (conjC == 'n') ? a.conjugacy() : b.conjugacy();
const char rightConj = (conjC == 'n') ? b.conjugacy() : a.conjugacy();
Wavefunction u;
u.resize(leftBraOpSz*leftKetOpSz, rightKetOpSz);
int totalmem =0;
{
for (int lQrQPrime = 0; lQrQPrime<leftBraOpSz*rightKetOpSz; ++lQrQPrime)
{
int rQPrime = lQrQPrime%rightKetOpSz, lQ = lQrQPrime/rightKetOpSz;
for (int lQPrime = 0; lQPrime < leftKetOpSz; lQPrime++)
if (leftOp.allowed(lQ, lQPrime) && c.allowed(lQPrime, rQPrime))
{
int lindex = lQ*leftKetOpSz+lQPrime;
u.allowed(lindex, rQPrime) = true;
u(lindex,rQPrime).ReSize(lbraS->getquantastates(lQ), rketS->getquantastates(rQPrime));
double factor = leftOp.get_scaling(lbraS->quanta[lQ], lketS->quanta[lQPrime]);
MatrixMultiply (leftOp.operator_element(lQ, lQPrime), leftConj, c.operator_element(lQPrime, rQPrime), 'n',
u.operator_element(lindex, rQPrime), factor, 0.);
}
}
}
{
for (int lQrQ = 0; lQrQ<leftBraOpSz*rightBraOpSz; ++lQrQ)
{
int rQ = lQrQ%rightBraOpSz, lQ=lQrQ/rightBraOpSz;
if (v.allowed(lQ, rQ))
for (int rQPrime = 0; rQPrime < rightKetOpSz; rQPrime++)
if (rightOp.allowed(rQ, rQPrime))
for (int lQPrime = 0; lQPrime < leftKetOpSz; lQPrime++)
if (leftOp.allowed(lQ, lQPrime) && u.allowed(lQ*leftKetOpSz+lQPrime, rQPrime))
{
int lindex = lQ*leftKetOpSz+lQPrime;
double factor = scale;
//if(dmrginp.spinAdapted()){
//ninej has already considered non spin-adapted
//it is just 1 in nonspin-adapted
factor *= dmrginp.get_ninej()(lketS->quanta[lQPrime].get_s().getirrep(), rketS->quanta[rQPrime].get_s().getirrep() , c.get_deltaQuantum(0).get_s().getirrep(),
leftOp.get_spin().getirrep(), rightOp.get_spin().getirrep(), opQ.get_s().getirrep(),
lbraS->quanta[lQ].get_s().getirrep(), rbraS->quanta[rQ].get_s().getirrep() , v.get_deltaQuantum(0).get_s().getirrep());
//}
factor *= Symmetry::spatial_ninej(lketS->quanta[lQPrime].get_symm().getirrep() , rketS->quanta[rQPrime].get_symm().getirrep(), c.get_symm().getirrep(),
leftOp.get_symm().getirrep(), rightOp.get_symm().getirrep(), opQ.get_symm().getirrep(),
lbraS->quanta[lQ].get_symm().getirrep() , rbraS->quanta[rQ].get_symm().getirrep(), v.get_symm().getirrep());
int parity = rightOp.get_fermion() && IsFermion(lketS->quanta[lQPrime]) ? -1 : 1;
factor *= rightOp.get_scaling(rbraS->quanta[rQ], rketS->quanta[rQPrime]);
MatrixMultiply (u.operator_element(lindex, rQPrime), 'n',
rightOp(rQ, rQPrime), TransposeOf(rightOp.conjugacy()), v.operator_element(lQ, rQ), factor*parity);
}
}
}
}