void VDPositionControlW32::RecalcThumbRect(VDPosition pos, bool update) {
RECT rOld(mThumbRect);
mThumbRect.left = FrameToPixel(pos) - mThumbWidth;
mThumbRect.right = mThumbRect.left + 2*mThumbWidth;
mThumbRect.top = mTrackArea.top;
mThumbRect.bottom = mTrackArea.bottom;
if (update && mhwnd && memcmp(&mThumbRect, &rOld, sizeof(RECT))) {
InvalidateRect(mhwnd, &rOld, TRUE);
InvalidateRect(mhwnd, &mThumbRect, TRUE);
}
}
void SolverMCBF::runCycle()
{
// loop over Monte Carlo cycles
for (int cycle = 0; cycle < nCycles+nThermalize; cycle++)
{
// New position to test
for (int i = 0; i < nParticles; i++)
{
for (int j = 0; j < nDimensions; j++)
{
rNew(i,j) = rOld(i,j) + stepLength*(ran2(&idum) - 0.5);
}
wf->updatePositionAndCurrentParticle(rNew, i);
ratio = wf->getRatio(); // squared in Wavefunction
// Check for step acceptance (if yes, update position, if no, reset position)
if (ran2(&idum) <= ratio)
{
rOld.row(i) = rNew.row(i);
wf->acceptMove();
if (cycle > nThermalize) nAccepted++;
}
else
{
rNew.row(i) = rOld.row(i);
wf->rejectMove();
}
}
if (cycle >= nThermalize)
{
deltaE = localEnergy->evaluate(rNew, wf);
if (blocking)
logger->log(deltaE);
energySum += deltaE;
energySquaredSum += deltaE*deltaE;
if (minimizing)
{
tempVariationalGradient = wf->variationalDerivatives();
variationalGradientSum += tempVariationalGradient;
variationalGradientESum += tempVariationalGradient*deltaE;
}
}
}
}
//************************************************************
void MCIS::MetropolisAlgoIS(){
observables->initializeObservables(nCycles);
qForceOld = zeros<mat>(nParticles, nDimensions);
qForceNew = zeros<mat>(nParticles, nDimensions);
acceptedSteps=0;
rOld = randn(nParticles,nDimensions)*sqrt(timeStep); //std=sqrt(2*D*dt), D=0.5
rNew = rOld;
trialWavefunction->initializeWavefunction(rOld);
qForceOld = getQuantumForce(rOld);
// loop over Monte Carlo cycles
for(int cycle = 0; cycle < nCycles+thermalization; cycle++) {
// New position to test
for(int i = 0; i < nParticles; i++) {
for(int j = 0; j < nDimensions; j++) {
rNew(i,j) = rOld(i,j) + randn()*sqrt(timeStep)+qForceOld(i,j)*timeStep*D;
}
trialWavefunction->activeParticle(rNew,i);
trialWavefunction->updateWavefunction();
qForceNew=getQuantumForce(rNew);
//compute green's function ratio
GreensFunction=0;
for (int k = 0; k < nParticles; k++){
for(int l=0; l<nDimensions; l++){
GreensFunction+=(qForceOld(k,l)+qForceNew(k,l))*
(D*timeStep*0.5*(qForceOld(k,l)-qForceNew(k,l))-rNew(k,l)+rOld(k,l));
}
}
GreensFunction= exp(0.5*GreensFunction);
R =trialWavefunction->getRatio();
R*=R*GreensFunction;
if(ran2(&idum) <= R) {
trialWavefunction->acceptMove();
rOld.row(i) = rNew.row(i);
qForceOld=qForceNew;
if(cycle > thermalization){
acceptedSteps++;
}
} else {
trialWavefunction->rejectMove();
rNew.row(i) = rOld.row(i);
qForceNew=qForceOld;
}
}
// update energies
if(cycle > thermalization){
observables->currentConfiguration(rNew);
observables->calculateObservables();
}
}
acceptedSteps /= ((nCycles-1)*nParticles);
}
double VMCSolver::runMonteCarloIntegration()
{
nAccepted=0;
nRejected=0;
rOld = zeros<mat>(nParticles, nDimensions);
rNew = zeros<mat>(nParticles, nDimensions);
double energySum = 0;
double energySquaredSum = 0;
double deltaE;
// initialise trial positions
for(int i = 0; i < nParticles; i++) {
for(int j = 0; j < nDimensions; j++) {
rOld(i,j)=sqrt(h)*this->gaussianDeviate(&idum);
}
}
initialize();
// loop over Monte Carlo cycles
int my_start=0;
int my_end=local_nCycles;
double r12 = 0;
thermalize();
for(int cycle = my_start; cycle < my_end; cycle++) {
// if(cycle%(my_end/100)==0)
// cout << "Currently in cycle "<< cycle<<endl;
if(cycle%nrOfCyclesEachOutput==0 && createOutput && cycle >0){
datalogger.flushData();
}
// New position to test
for(int i = 0; i < nParticles; i++) {
this->currentparticle=i;
wf.setCurrentParticle(i);
this->cycle(i);
}
//collect data
deltaE = wf.localEnergyCF(rNew);
if(createOutput){
datalogger.addData(deltaE);
}
energySum += deltaE;
energySquaredSum += deltaE*deltaE;
}
if(createOutput){
datalogger.flushFinalData();
}
double energy = energySum/(local_nCycles);
double energySquared = energySquaredSum/(local_nCycles);
double totalenergy=0;
double totalenergySquared=0;
int totalaccepted=0, totalrejected=0;
//1 processor receives all information
//MPI_Reduce(&energy, &totalenergy, 1, MPI_DOUBLE, MPI_SUM, 0, MPI_COMM_WORLD);
//all processors receive all information
MPI_Allreduce(&energy, &totalenergy, 1, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
totalenergy/=numprocs;
MPI_Allreduce(&nAccepted, &totalaccepted, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(&nRejected, &totalrejected, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(&energySquared, &totalenergySquared, 1, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
totalenergySquared/=numprocs;
acceptRatio=double(totalaccepted)/(totalrejected+totalaccepted);
double variance = totalenergySquared-pow(totalenergy,2);
cout << "Energy: " << totalenergy << " Energy (squared sum): " << totalenergySquared << endl;
cout << "Variance: "<< variance<<endl;
cout << "Total acceptratio: " <<acceptRatio << endl;
return totalenergy;
}
