PetscErrorCode TSView_Sundials(TS ts,PetscViewer viewer)
{
TS_Sundials *cvode = (TS_Sundials*)ts->data;
PetscErrorCode ierr;
char *type;
char atype[] = "Adams";
char btype[] = "BDF: backward differentiation formula";
PetscBool iascii,isstring;
long int nsteps,its,nfevals,nlinsetups,nfails,itmp;
PetscInt qlast,qcur;
PetscReal hinused,hlast,hcur,tcur,tolsfac;
PC pc;
PetscFunctionBegin;
if (cvode->cvode_type == SUNDIALS_ADAMS) type = atype;
else type = btype;
ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr);
ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERSTRING,&isstring);CHKERRQ(ierr);
if (iascii) {
ierr = PetscViewerASCIIPrintf(viewer,"Sundials integrater does not use SNES!\n");CHKERRQ(ierr);
ierr = PetscViewerASCIIPrintf(viewer,"Sundials integrater type %s\n",type);CHKERRQ(ierr);
ierr = PetscViewerASCIIPrintf(viewer,"Sundials abs tol %g rel tol %g\n",cvode->abstol,cvode->reltol);CHKERRQ(ierr);
ierr = PetscViewerASCIIPrintf(viewer,"Sundials linear solver tolerance factor %g\n",cvode->linear_tol);CHKERRQ(ierr);
ierr = PetscViewerASCIIPrintf(viewer,"Sundials max dimension of Krylov subspace %D\n",cvode->maxl);CHKERRQ(ierr);
if (cvode->gtype == SUNDIALS_MODIFIED_GS) {
ierr = PetscViewerASCIIPrintf(viewer,"Sundials using modified Gram-Schmidt for orthogonalization in GMRES\n");CHKERRQ(ierr);
} else {
ierr = PetscViewerASCIIPrintf(viewer,"Sundials using unmodified (classical) Gram-Schmidt for orthogonalization in GMRES\n");CHKERRQ(ierr);
}
if (cvode->mindt > 0) {ierr = PetscViewerASCIIPrintf(viewer,"Sundials minimum time step %g\n",cvode->mindt);CHKERRQ(ierr);}
if (cvode->maxdt > 0) {ierr = PetscViewerASCIIPrintf(viewer,"Sundials maximum time step %g\n",cvode->maxdt);CHKERRQ(ierr);}
/* Outputs from CVODE, CVSPILS */
ierr = CVodeGetTolScaleFactor(cvode->mem,&tolsfac);CHKERRQ(ierr);
ierr = PetscViewerASCIIPrintf(viewer,"Sundials suggested factor for tolerance scaling %g\n",tolsfac);CHKERRQ(ierr);
ierr = CVodeGetIntegratorStats(cvode->mem,&nsteps,&nfevals,
&nlinsetups,&nfails,&qlast,&qcur,
&hinused,&hlast,&hcur,&tcur);CHKERRQ(ierr);
ierr = PetscViewerASCIIPrintf(viewer,"Sundials cumulative number of internal steps %D\n",nsteps);CHKERRQ(ierr);
ierr = PetscViewerASCIIPrintf(viewer,"Sundials no. of calls to rhs function %D\n",nfevals);CHKERRQ(ierr);
ierr = PetscViewerASCIIPrintf(viewer,"Sundials no. of calls to linear solver setup function %D\n",nlinsetups);CHKERRQ(ierr);
ierr = PetscViewerASCIIPrintf(viewer,"Sundials no. of error test failures %D\n",nfails);CHKERRQ(ierr);
ierr = CVodeGetNonlinSolvStats(cvode->mem,&its,&nfails);CHKERRQ(ierr);
ierr = PetscViewerASCIIPrintf(viewer,"Sundials no. of nonlinear solver iterations %D\n",its);CHKERRQ(ierr);
ierr = PetscViewerASCIIPrintf(viewer,"Sundials no. of nonlinear convergence failure %D\n",nfails);CHKERRQ(ierr);
ierr = CVSpilsGetNumLinIters(cvode->mem, &its);CHKERRQ(ierr); /* its = no. of calls to TSPrecond_Sundials() */
ierr = PetscViewerASCIIPrintf(viewer,"Sundials no. of linear iterations %D\n",its);CHKERRQ(ierr);
ierr = CVSpilsGetNumConvFails(cvode->mem,&itmp);CHKERRQ(ierr);
ierr = PetscViewerASCIIPrintf(viewer,"Sundials no. of linear convergence failures %D\n",itmp);CHKERRQ(ierr);
ierr = TSSundialsGetPC(ts,&pc);CHKERRQ(ierr);
ierr = PCView(pc,viewer);CHKERRQ(ierr);
ierr = CVSpilsGetNumPrecEvals(cvode->mem,&itmp);CHKERRQ(ierr);
ierr = PetscViewerASCIIPrintf(viewer,"Sundials no. of preconditioner evaluations %D\n",itmp);CHKERRQ(ierr);
ierr = CVSpilsGetNumPrecSolves(cvode->mem,&itmp);CHKERRQ(ierr);
ierr = PetscViewerASCIIPrintf(viewer,"Sundials no. of preconditioner solves %D\n",itmp);CHKERRQ(ierr);
ierr = CVSpilsGetNumJtimesEvals(cvode->mem,&itmp);CHKERRQ(ierr);
ierr = PetscViewerASCIIPrintf(viewer,"Sundials no. of Jacobian-vector product evaluations %D\n",itmp);CHKERRQ(ierr);
ierr = CVSpilsGetNumRhsEvals(cvode->mem,&itmp);CHKERRQ(ierr);
ierr = PetscViewerASCIIPrintf(viewer,"Sundials no. of rhs calls for finite diff. Jacobian-vector evals %D\n",itmp);CHKERRQ(ierr);
} else if (isstring) {
ierr = PetscViewerStringSPrintf(viewer,"Sundials type %s",type);CHKERRQ(ierr);
}
PetscFunctionReturn(0);
}
void Cvode::writeSimulationInfo()
{
long int nst, nfe, nsetups, nni, ncfn, netf;
long int nfQe, netfQ;
long int nfSe, nfeS, nsetupsS, nniS, ncfnS, netfS;
long int nfQSe, netfQS;
int qlast, qcur;
realtype h0u, hlast, hcur, tcur;
int flag;
flag = CVodeGetIntegratorStats(_cvodeMem, &nst, &nfe, &nsetups, &netf, &qlast, &qcur, &h0u, &hlast, &hcur, &tcur);
flag = CVodeGetNonlinSolvStats(_cvodeMem, &nni, &ncfn);
LOGGER_WRITE("Cvode: number steps = " + to_string(nst), LC_SOLV, LL_INFO);
LOGGER_WRITE("Cvode: function evaluations 'f' = " + to_string(nfe), LC_SOLV, LL_INFO);
LOGGER_WRITE("Cvode: error test failures 'netf' = " + to_string(netfS), LC_SOLV, LL_INFO);
LOGGER_WRITE("Cvode: linear solver setups 'nsetups' = " + to_string(nsetups), LC_SOLV, LL_INFO);
LOGGER_WRITE("Cvode: nonlinear iterations 'nni' = " + to_string(nni), LC_SOLV, LL_INFO);
LOGGER_WRITE("Cvode: convergence failures 'ncfn' = " + to_string(ncfn), LC_SOLV, LL_INFO);
LOGGER_WRITE("Cvode: number of evaluateODE calls 'eODE' = " + to_string(_numberOfOdeEvaluations), LC_SOLV, LL_INFO);
//// Solver
//outputStream << "\nSolver: " << getName()
// << "\nVerfahren: ";
//if(_cvodesettings->iMethod == EulerSettings::EULERFORWARD)
// outputStream << " Expliziter Cvode\n\n";
//else if(_cvodesettings->iMethod == EulerSettings::EULERBACKWARD)
// outputStream << " Impliziter Cvode\n\n";
//// System
//outputStream
// << "Dimension des Systems (ODE): " << (int)_dimSys << "\n";
//// Status, Anzahl Schritte, Nullstellenzeugs
//SolverDefaultImplementation::writeSimulationInfo(outputStream);
//// Nullstellensuche
//if (_cvodesettings->iZeroSearchMethod == SolverSettings::NO_ZERO_SEARCH)
//{
// outputStream << "Nullstellensuche: Keine\n\n" << endl;
//}
//else
//{
// /*if (_cvodesettings->iZeroSearchMethod == SolverSettings::BISECTION)
// {
// outputStream << "Nullstellensuche: Bisektion\n" << endl;
// }
// else
// {*/
// outputStream << "Nullstellensuche: Lineare Interpolation\n" << endl;
// /*}*/
//}
//// Schritteweite
//outputStream
// << "ausgegebene Schritte: " << _outStps << "\n"
// << "Anfangsschrittweite: " << _cvodesettings->dH_init << "\n"
// << "Ausgabeschrittweite: " << dynamic_cast<ISolverSettings*>(_cvodesettings)->getGlobalSettings()->gethOutput() << "\n"
// << "Obere Grenze für Schrittweite: " << _hUpLim << "\n\n";
//// Status
//outputStream
// << "Solver-Status: " << _idid << "\n\n";
}
void FCV_CVODE(realtype *tout, realtype *t, realtype *y, int *itask, int *ier)
{
realtype h0u;
int qu, qcur;
/*
tout is the t value where output is desired
F2C_vec is the N_Vector containing the solution on return
t is the returned independent variable value
itask is the task indicator (1 = CV_NORMAL, 2 = CV_ONE_STEP,
3 = CV_NORMAL_TSTOP, 4 = CV_ONE_STEP_TSTOP)
*/
*ier = CVode(CV_cvodemem, *tout, F2C_vec, t, *itask);
y = N_VGetArrayPointer(F2C_vec);
/* Load optional outputs in iopt & ropt */
if ( (CV_iopt != NULL) && (CV_ropt != NULL) ) {
CVodeGetIntegratorStats(CV_cvodemem,
&CV_iopt[3], /* NST */
&CV_iopt[4], /* NFE */
&CV_iopt[5], /* NSETUPS */
&CV_iopt[8], /* NETF */
&qu,
&qcur,
&h0u,
&CV_ropt[3], /* HU */
&CV_ropt[4], /* HCUR */
&CV_ropt[5]); /* TCUR */
CV_iopt[9] = (long int)qu; /* QU */
CV_iopt[10] = (long int)qcur; /* QCUR */
CVodeGetTolScaleFactor(CV_cvodemem, &CV_ropt[6]);
CVodeGetNonlinSolvStats(CV_cvodemem,
&CV_iopt[6], /* NNI */
&CV_iopt[7]); /* NCFN */
CVodeGetWorkSpace(CV_cvodemem,
&CV_iopt[11], /* LENRW */
&CV_iopt[12]); /* LENIW */
if (CV_optin && (CV_iopt[13] > 0))
CVodeGetNumStabLimOrderReds(CV_cvodemem, &CV_iopt[14]); /* NOR */
/* Root finding is on */
if (CV_nrtfn != 0)
CVodeGetNumGEvals(CV_cvodemem, &CV_iopt[24]);
switch(CV_ls) {
case 1:
CVDenseGetWorkSpace(CV_cvodemem, &CV_iopt[15], &CV_iopt[16]); /* LRW and LIW */
CVDenseGetNumJacEvals(CV_cvodemem, &CV_iopt[17]); /* NJE */
CVDenseGetLastFlag(CV_cvodemem, (int *) &CV_iopt[25]); /* last linear solver flag */
break;
case 2:
CVBandGetWorkSpace(CV_cvodemem, &CV_iopt[15], &CV_iopt[16]); /* LRW and LIW */
CVBandGetNumJacEvals(CV_cvodemem, &CV_iopt[17]); /* NJE */
CVBandGetLastFlag(CV_cvodemem, (int *) &CV_iopt[25]); /* last linear solver flag */
break;
case 3:
CVDiagGetWorkSpace(CV_cvodemem, &CV_iopt[15], &CV_iopt[16]); /* LRW and LIW */
CVDiagGetLastFlag(CV_cvodemem, (int *) &CV_iopt[25]); /* last linear solver flag */
break;
case 4:
CVSpgmrGetWorkSpace(CV_cvodemem, &CV_iopt[15], &CV_iopt[16]); /* LRW and LIW */
CVSpgmrGetNumPrecEvals(CV_cvodemem, &CV_iopt[17]); /* NPE */
CVSpgmrGetNumLinIters(CV_cvodemem, &CV_iopt[18]); /* NLI */
CVSpgmrGetNumPrecSolves(CV_cvodemem, &CV_iopt[19]); /* NPS */
CVSpgmrGetNumConvFails(CV_cvodemem, &CV_iopt[20]); /* NCFL */
CVSpgmrGetLastFlag(CV_cvodemem, (int *) &CV_iopt[25]); /* last linear solver flag */
break;
}
}
}
void Cvode::solve(const SOLVERCALL action)
{
bool writeEventOutput = (_settings->getGlobalSettings()->getOutputPointType() == OPT_ALL);
bool writeOutput = !(_settings->getGlobalSettings()->getOutputPointType() == OPT_NONE);
#ifdef RUNTIME_PROFILING
MEASURETIME_REGION_DEFINE(cvodeSolveFunctionHandler, "solve");
if(MeasureTime::getInstance() != NULL)
{
MEASURETIME_START(solveFunctionStartValues, cvodeSolveFunctionHandler, "solve");
}
#endif
if (_cvodesettings && _system)
{
// Solver und System für Integration vorbereiten
if ((action & RECORDCALL) && (action & FIRST_CALL))
{
#ifdef RUNTIME_PROFILING
MEASURETIME_REGION_DEFINE(cvodeInitializeHandler, "CVodeInitialize");
if(MeasureTime::getInstance() != NULL)
{
MEASURETIME_START(measuredFunctionStartValues, cvodeInitializeHandler, "CVodeInitialize");
}
#endif
initialize();
#ifdef RUNTIME_PROFILING
if(MeasureTime::getInstance() != NULL)
{
MEASURETIME_END(measuredFunctionStartValues, measuredFunctionEndValues, (*measureTimeFunctionsArray)[4], cvodeInitializeHandler);
}
#endif
if (writeOutput)
writeToFile(0, _tCurrent, _h);
_tLastWrite = 0;
return;
}
if ((action & RECORDCALL) && !(action & FIRST_CALL))
{
writeToFile(_accStps, _tCurrent, _h);
return;
}
// Nach einem TimeEvent wird der neue Zustand recorded
if (action & RECALL)
{
_firstStep = true;
if (writeEventOutput)
writeToFile(0, _tCurrent, _h);
if (writeOutput)
writeCVodeOutput(_tCurrent, _h, _locStps);
_continuous_system->getContinuousStates(_z);
}
// Solver soll fortfahren
_solverStatus = ISolver::CONTINUE;
while ((_solverStatus & ISolver::CONTINUE) && !_interrupt )
{
// Zuvor wurde initialize aufgerufen und hat funktioniert => RESET IDID
if (_idid == 5000)
_idid = 0;
// Solveraufruf
if (_idid == 0)
{
// Zähler zurücksetzen
_accStps = 0;
_locStps = 0;
// Solverstart
CVodeCore();
}
// Integration war nicht erfolgreich und wurde auch nicht vom User unterbrochen
if (_idid != 0 && _idid != 1)
{
_solverStatus = ISolver::SOLVERERROR;
//throw ModelicaSimulationError(SOLVER,_idid,_tCurrent,"CVode::solve()");
throw ModelicaSimulationError(SOLVER,"CVode::solve()");
}
// Abbruchkriterium (erreichen der Endzeit)
else if ((_tEnd - _tCurrent) <= dynamic_cast<ISolverSettings*>(_cvodesettings)->getEndTimeTol())
_solverStatus = DONE;
}
_firstCall = false;
}
else
{
throw ModelicaSimulationError(SOLVER,"CVode::solve()");
}
#ifdef RUNTIME_PROFILING
if(MeasureTime::getInstance() != NULL)
{
MEASURETIME_END(solveFunctionStartValues, solveFunctionEndValues, (*measureTimeFunctionsArray)[1], cvodeSolveFunctionHandler);
long int nst, nfe, nsetups, netf, nni, ncfn;
int qlast, qcur;
realtype h0u, hlast, hcur, tcur;
int flag;
flag = CVodeGetIntegratorStats(_cvodeMem, &nst, &nfe, &nsetups, &netf, &qlast, &qcur, &h0u, &hlast, &hcur, &tcur);
flag = CVodeGetNonlinSolvStats(_cvodeMem, &nni, &ncfn);
MeasureTimeValuesSolver solverVals = MeasureTimeValuesSolver(nfe, netf);
(*measureTimeFunctionsArray)[6]->_sumMeasuredValues->_numCalcs += nst;
(*measureTimeFunctionsArray)[6]->_sumMeasuredValues->add(&solverVals);
}
#endif
}
void FCV_CVODE(realtype *tout, realtype *t, realtype *y, int *itask, int *ier)
{
/*
tout is the t value where output is desired
F2C_CVODE_vec is the N_Vector containing the solution on return
t is the returned independent variable value
itask is the task indicator (1 = CV_NORMAL, 2 = CV_ONE_STEP,
3 = CV_NORMAL_TSTOP, 4 = CV_ONE_STEP_TSTOP)
*/
int qu, qcur;
N_VSetArrayPointer(y, F2C_CVODE_vec);
*ier = CVode(CV_cvodemem, *tout, F2C_CVODE_vec, t, *itask);
N_VSetArrayPointer(NULL, F2C_CVODE_vec);
/* Load optional outputs in iout & rout */
CVodeGetWorkSpace(CV_cvodemem,
&CV_iout[0], /* LENRW */
&CV_iout[1]); /* LENIW */
CVodeGetIntegratorStats(CV_cvodemem,
&CV_iout[2], /* NST */
&CV_iout[3], /* NFE */
&CV_iout[7], /* NSETUPS */
&CV_iout[4], /* NETF */
&qu, /* QU */
&qcur, /* QCUR */
&CV_rout[0], /* H0U */
&CV_rout[1], /* HU */
&CV_rout[2], /* HCUR */
&CV_rout[3]); /* TCUR */
CV_iout[8] = (long int) qu;
CV_iout[9] = (long int) qcur;
CVodeGetTolScaleFactor(CV_cvodemem,
&CV_rout[4]); /* TOLSFAC */
CVodeGetNonlinSolvStats(CV_cvodemem,
&CV_iout[6], /* NNI */
&CV_iout[5]); /* NCFN */
CVodeGetNumStabLimOrderReds(CV_cvodemem, &CV_iout[10]); /* NOR */
/* Root finding is on */
if (CV_nrtfn != 0)
CVodeGetNumGEvals(CV_cvodemem, &CV_iout[11]); /* NGE */
switch(CV_ls) {
case CV_LS_STD:
CVodeGetLinWorkSpace(CV_cvodemem, &CV_iout[12], &CV_iout[13]); /* LENRWLS,LENIWLS */
CVodeGetLastLinFlag(CV_cvodemem, &CV_iout[14]); /* LSTF */
CVodeGetNumLinRhsEvals(CV_cvodemem, &CV_iout[15]); /* NFELS */
CVodeGetNumJacEvals(CV_cvodemem, &CV_iout[16]); /* NJE */
CVodeGetNumJTSetupEvals(CV_cvodemem, &CV_iout[17]); /* NJTS */
CVodeGetNumJtimesEvals(CV_cvodemem, &CV_iout[18]); /* NJTV */
CVodeGetNumPrecEvals(CV_cvodemem, &CV_iout[19]); /* NPE */
CVodeGetNumPrecSolves(CV_cvodemem, &CV_iout[20]); /* NPS */
CVodeGetNumLinIters(CV_cvodemem, &CV_iout[21]); /* NLI */
CVodeGetNumLinConvFails(CV_cvodemem, &CV_iout[22]); /* NCFL */
break;
case CV_LS_DIAG:
CVDiagGetWorkSpace(CV_cvodemem, &CV_iout[12], &CV_iout[13]); /* LENRWLS,LENIWLS */
CVDiagGetLastFlag(CV_cvodemem, &CV_iout[14]); /* LSTF */
CVDiagGetNumRhsEvals(CV_cvodemem, &CV_iout[15]); /* NFELS */
}
}
