void CVodesIntegrator::setMinStepSize(doublereal hmin) { m_hmin = hmin; if (m_cvode_mem) { CVodeSetMinStep(m_cvode_mem, hmin); } }
void OpenSMOKE_CVODE_Sundials<T>::AnalyzeUserOptions() { /* TODO if (this->iSetMaximumNumberOfPrints_) iwork_[6] = this->maximumNumberOfPrints_; if (this->iSetMaximumOrder_) iwork_[8] = this->maximumOrder_; */ if (this->iSetMaximumNumberOfSteps_) { int flag = CVodeSetMaxNumSteps(cvode_mem_, this->maximumNumberOfSteps_); if (check_flag(&flag, std::string("CVodeSetMaxNumSteps"), 1)) exit(-1); } if (this->iSetMaximumStep_) { int flag = CVodeSetMaxStep(cvode_mem_, this->maximumStep_); if (check_flag(&flag, std::string("CVodeSetMaxStep"), 1)) exit(-1); } if (this->iSetMinimumStep_) { int flag = CVodeSetMinStep(cvode_mem_, this->minimumStep_); if (check_flag(&flag, std::string("CVodeSetMinStep"), 1)) exit(-1); } if (this->iSetFirstStep_) { int flag = CVodeSetInitStep(cvode_mem_, this->firstStep_); if (check_flag(&flag, std::string("CVodeSetInitStep"), 1)) exit(-1); } }
void Cvode::minstep(double x) { if (mem_) { if (x > 0.) { CVodeSetMinStep(mem_, x); }else{ // CVodeSetMinStep requires x > 0 but // HMIN_DEFAULT is ZERO in cvodes.c ((CVodeMem)mem_)->cv_hmin = 0.; } } }
int CVodeSetMinStepB(void *cvadj_mem, realtype hminB) { CVadjMem ca_mem; void *cvode_mem; int flag; ca_mem = (CVadjMem) cvadj_mem; cvode_mem = (void *)ca_mem->cvb_mem; flag = CVodeSetMinStep(cvode_mem, hminB); return(flag); }
int CVodeSetMinStepB(void *cvadj_mem, realtype hminB) { CVadjMem ca_mem; void *cvode_mem; int flag; if (cvadj_mem == NULL) { CVProcessError(NULL, CV_ADJMEM_NULL, "CVODEA", "CVodeSetMinStepB", MSGAM_NULL_CAMEM); return(CV_ADJMEM_NULL); } ca_mem = (CVadjMem) cvadj_mem; cvode_mem = (void *)ca_mem->cvb_mem; flag = CVodeSetMinStep(cvode_mem, hminB); return(flag); }
void FCV_SETRIN(char key_name[], realtype *rval, int *ier) { if (!strncmp(key_name,"INIT_STEP",9)) *ier = CVodeSetInitStep(CV_cvodemem, *rval); else if (!strncmp(key_name,"MAX_STEP",8)) *ier = CVodeSetMaxStep(CV_cvodemem, *rval); else if (!strncmp(key_name,"MIN_STEP",8)) *ier = CVodeSetMinStep(CV_cvodemem, *rval); else if (!strncmp(key_name,"STOP_TIME",9)) *ier = CVodeSetStopTime(CV_cvodemem, *rval); else if (!strncmp(key_name,"NLCONV_COEF",11)) *ier = CVodeSetNonlinConvCoef(CV_cvodemem, *rval); else { *ier = -99; fprintf(stderr, "FCVSETRIN: Unrecognized key.\n\n"); } }
void CVodesIntegrator::applyOptions() { if (m_type == DENSE + NOJAC) { sd_size_t N = static_cast<sd_size_t>(m_neq); #if SUNDIALS_USE_LAPACK CVLapackDense(m_cvode_mem, N); #else CVDense(m_cvode_mem, N); #endif } else if (m_type == DIAG) { CVDiag(m_cvode_mem); } else if (m_type == GMRES) { CVSpgmr(m_cvode_mem, PREC_NONE, 0); } else if (m_type == BAND + NOJAC) { sd_size_t N = static_cast<sd_size_t>(m_neq); long int nu = m_mupper; long int nl = m_mlower; #if SUNDIALS_USE_LAPACK CVLapackBand(m_cvode_mem, N, nu, nl); #else CVBand(m_cvode_mem, N, nu, nl); #endif } else { throw CanteraError("CVodesIntegrator::applyOptions", "unsupported option"); } if (m_maxord > 0) { CVodeSetMaxOrd(m_cvode_mem, m_maxord); } if (m_maxsteps > 0) { CVodeSetMaxNumSteps(m_cvode_mem, m_maxsteps); } if (m_hmax > 0) { CVodeSetMaxStep(m_cvode_mem, m_hmax); } if (m_hmin > 0) { CVodeSetMinStep(m_cvode_mem, m_hmin); } if (m_maxErrTestFails > 0) { CVodeSetMaxErrTestFails(m_cvode_mem, m_maxErrTestFails); } }
int CVodeSetMinStepB(void *cvode_mem, int which, realtype hminB) { CVodeMem cv_mem; CVadjMem ca_mem; CVodeBMem cvB_mem; void *cvodeB_mem; int flag; /* Check if cvode_mem exists */ if (cvode_mem == NULL) { cvProcessError(NULL, CV_MEM_NULL, "CVODEA", "CVodeSetMinStepB", MSGCV_NO_MEM); return(CV_MEM_NULL); } cv_mem = (CVodeMem) cvode_mem; /* Was ASA initialized? */ if (cv_mem->cv_adjMallocDone == FALSE) { cvProcessError(cv_mem, CV_NO_ADJ, "CVODEA", "CVodeSetMinStepB", MSGCV_NO_ADJ); return(CV_NO_ADJ); } ca_mem = cv_mem->cv_adj_mem; /* Check which */ if ( which >= nbckpbs ) { cvProcessError(cv_mem, CV_ILL_INPUT, "CVODEA", "CVodeSetMinStepB", MSGCV_BAD_WHICH); return(CV_ILL_INPUT); } /* Find the CVodeBMem entry in the linked list corresponding to which */ cvB_mem = ca_mem->cvB_mem; while (cvB_mem != NULL) { if ( which == cvB_mem->cv_index ) break; cvB_mem = cvB_mem->cv_next; } cvodeB_mem = (void *) (cvB_mem->cv_mem); flag = CVodeSetMinStep(cvodeB_mem, hminB); return(flag); }
PetscErrorCode TSSetUp_Sundials(TS ts) { TS_Sundials *cvode = (TS_Sundials*)ts->data; PetscErrorCode ierr; PetscInt glosize,locsize,i,flag; PetscScalar *y_data,*parray; void *mem; PC pc; PCType pctype; PetscBool pcnone; PetscFunctionBegin; /* get the vector size */ ierr = VecGetSize(ts->vec_sol,&glosize);CHKERRQ(ierr); ierr = VecGetLocalSize(ts->vec_sol,&locsize);CHKERRQ(ierr); /* allocate the memory for N_Vec y */ cvode->y = N_VNew_Parallel(cvode->comm_sundials,locsize,glosize); if (!cvode->y) SETERRQ(PETSC_COMM_SELF,1,"cvode->y is not allocated"); /* initialize N_Vec y: copy ts->vec_sol to cvode->y */ ierr = VecGetArray(ts->vec_sol,&parray);CHKERRQ(ierr); y_data = (PetscScalar*) N_VGetArrayPointer(cvode->y); for (i = 0; i < locsize; i++) y_data[i] = parray[i]; ierr = VecRestoreArray(ts->vec_sol,NULL);CHKERRQ(ierr); ierr = VecDuplicate(ts->vec_sol,&cvode->update);CHKERRQ(ierr); ierr = VecDuplicate(ts->vec_sol,&cvode->ydot);CHKERRQ(ierr); ierr = PetscLogObjectParent((PetscObject)ts,(PetscObject)cvode->update);CHKERRQ(ierr); ierr = PetscLogObjectParent((PetscObject)ts,(PetscObject)cvode->ydot);CHKERRQ(ierr); /* Create work vectors for the TSPSolve_Sundials() routine. Note these are allocated with zero space arrays because the actual array space is provided by Sundials and set using VecPlaceArray(). */ ierr = VecCreateMPIWithArray(PetscObjectComm((PetscObject)ts),1,locsize,PETSC_DECIDE,0,&cvode->w1);CHKERRQ(ierr); ierr = VecCreateMPIWithArray(PetscObjectComm((PetscObject)ts),1,locsize,PETSC_DECIDE,0,&cvode->w2);CHKERRQ(ierr); ierr = PetscLogObjectParent((PetscObject)ts,(PetscObject)cvode->w1);CHKERRQ(ierr); ierr = PetscLogObjectParent((PetscObject)ts,(PetscObject)cvode->w2);CHKERRQ(ierr); /* Call CVodeCreate to create the solver memory and the use of a Newton iteration */ mem = CVodeCreate(cvode->cvode_type, CV_NEWTON); if (!mem) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_MEM,"CVodeCreate() fails"); cvode->mem = mem; /* Set the pointer to user-defined data */ flag = CVodeSetUserData(mem, ts); if (flag) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"CVodeSetUserData() fails"); /* Sundials may choose to use a smaller initial step, but will never use a larger step. */ flag = CVodeSetInitStep(mem,(realtype)ts->time_step); if (flag) SETERRQ(PetscObjectComm((PetscObject)ts),PETSC_ERR_LIB,"CVodeSetInitStep() failed"); if (cvode->mindt > 0) { flag = CVodeSetMinStep(mem,(realtype)cvode->mindt); if (flag) { if (flag == CV_MEM_NULL) SETERRQ(PetscObjectComm((PetscObject)ts),PETSC_ERR_LIB,"CVodeSetMinStep() failed, cvode_mem pointer is NULL"); else if (flag == CV_ILL_INPUT) SETERRQ(PetscObjectComm((PetscObject)ts),PETSC_ERR_LIB,"CVodeSetMinStep() failed, hmin is nonpositive or it exceeds the maximum allowable step size"); else SETERRQ(PetscObjectComm((PetscObject)ts),PETSC_ERR_LIB,"CVodeSetMinStep() failed"); } } if (cvode->maxdt > 0) { flag = CVodeSetMaxStep(mem,(realtype)cvode->maxdt); if (flag) SETERRQ(PetscObjectComm((PetscObject)ts),PETSC_ERR_LIB,"CVodeSetMaxStep() failed"); } /* Call CVodeInit to initialize the integrator memory and specify the * user's right hand side function in u'=f(t,u), the inital time T0, and * the initial dependent variable vector cvode->y */ flag = CVodeInit(mem,TSFunction_Sundials,ts->ptime,cvode->y); if (flag) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"CVodeInit() fails, flag %d",flag); /* specifies scalar relative and absolute tolerances */ flag = CVodeSStolerances(mem,cvode->reltol,cvode->abstol); if (flag) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"CVodeSStolerances() fails, flag %d",flag); /* Specify max num of steps to be taken by cvode in its attempt to reach the next output time */ flag = CVodeSetMaxNumSteps(mem,ts->max_steps); /* call CVSpgmr to use GMRES as the linear solver. */ /* setup the ode integrator with the given preconditioner */ ierr = TSSundialsGetPC(ts,&pc);CHKERRQ(ierr); ierr = PCGetType(pc,&pctype);CHKERRQ(ierr); ierr = PetscObjectTypeCompare((PetscObject)pc,PCNONE,&pcnone);CHKERRQ(ierr); if (pcnone) { flag = CVSpgmr(mem,PREC_NONE,0); if (flag) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"CVSpgmr() fails, flag %d",flag); } else { flag = CVSpgmr(mem,PREC_LEFT,cvode->maxl); if (flag) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"CVSpgmr() fails, flag %d",flag); /* Set preconditioner and solve routines Precond and PSolve, and the pointer to the user-defined block data */ flag = CVSpilsSetPreconditioner(mem,TSPrecond_Sundials,TSPSolve_Sundials); if (flag) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"CVSpilsSetPreconditioner() fails, flag %d", flag); } flag = CVSpilsSetGSType(mem, MODIFIED_GS); if (flag) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"CVSpgmrSetGSType() fails, flag %d",flag); PetscFunctionReturn(0); }
void Cvode::initialize() { _properties = dynamic_cast<ISystemProperties*>(_system); _continuous_system = dynamic_cast<IContinuous*>(_system); _event_system = dynamic_cast<IEvent*>(_system); _mixed_system = dynamic_cast<IMixedSystem*>(_system); _time_system = dynamic_cast<ITime*>(_system); IGlobalSettings* global_settings = dynamic_cast<ISolverSettings*>(_cvodesettings)->getGlobalSettings(); // Kennzeichnung, dass initialize()() (vor der Integration) aufgerufen wurde _idid = 5000; _tLastEvent = 0.0; _event_n = 0; SolverDefaultImplementation::initialize(); _dimSys = _continuous_system->getDimContinuousStates(); _dimZeroFunc = _event_system->getDimZeroFunc(); if (_dimSys == 0) _dimSys = 1; // introduce dummy state if (_dimSys <= 0) { _idid = -1; throw ModelicaSimulationError(SOLVER,"Cvode::initialize()"); } else { // Allocate state vectors, stages and temporary arrays if (_z) delete[] _z; if (_zInit) delete[] _zInit; if (_zWrite) delete[] _zWrite; if (_zeroSign) delete[] _zeroSign; if (_absTol) delete[] _absTol; if(_delta) delete [] _delta; if(_deltaInv) delete [] _deltaInv; if(_ysave) delete [] _ysave; _z = new double[_dimSys]; _zInit = new double[_dimSys]; _zWrite = new double[_dimSys]; _zeroSign = new int[_dimZeroFunc]; _absTol = new double[_dimSys]; _delta =new double[_dimSys]; _deltaInv =new double[_dimSys]; _ysave =new double[_dimSys]; memset(_z, 0, _dimSys * sizeof(double)); memset(_zInit, 0, _dimSys * sizeof(double)); memset(_ysave, 0, _dimSys * sizeof(double)); // Counter initialisieren _outStps = 0; if (_cvodesettings->getDenseOutput()) { // Ausgabeschrittweite _hOut = global_settings->gethOutput(); } // Allocate memory for the solver _cvodeMem = CVodeCreate(CV_BDF, CV_NEWTON); if (check_flag((void*) _cvodeMem, "CVodeCreate", 0)) { _idid = -5; throw ModelicaSimulationError(SOLVER,/*_idid,_tCurrent,*/"Cvode::initialize()"); } // // Make Cvode ready for integration // // Set initial values for CVODE _continuous_system->evaluateAll(IContinuous::CONTINUOUS); _continuous_system->getContinuousStates(_zInit); memcpy(_z, _zInit, _dimSys * sizeof(double)); // Get nominal values _absTol[0] = 1.0; // in case of dummy state _continuous_system->getNominalStates(_absTol); for (int i = 0; i < _dimSys; i++) _absTol[i] *= dynamic_cast<ISolverSettings*>(_cvodesettings)->getATol(); _CV_y0 = N_VMake_Serial(_dimSys, _zInit); _CV_y = N_VMake_Serial(_dimSys, _z); _CV_yWrite = N_VMake_Serial(_dimSys, _zWrite); _CV_absTol = N_VMake_Serial(_dimSys, _absTol); if (check_flag((void*) _CV_y0, "N_VMake_Serial", 0)) { _idid = -5; throw ModelicaSimulationError(SOLVER,"Cvode::initialize()"); } // Initialize Cvode (Initial values are required) _idid = CVodeInit(_cvodeMem, CV_fCallback, _tCurrent, _CV_y0); if (_idid < 0) { _idid = -5; throw ModelicaSimulationError(SOLVER,"Cvode::initialize()"); } // Set Tolerances _idid = CVodeSVtolerances(_cvodeMem, dynamic_cast<ISolverSettings*>(_cvodesettings)->getRTol(), _CV_absTol); // RTOL and ATOL if (_idid < 0) throw ModelicaSimulationError(SOLVER,"CVode::initialize()"); // Set the pointer to user-defined data _idid = CVodeSetUserData(_cvodeMem, _data); if (_idid < 0) throw ModelicaSimulationError(SOLVER,"Cvode::initialize()"); _idid = CVodeSetInitStep(_cvodeMem, 1e-6); // INITIAL STEPSIZE if (_idid < 0) throw ModelicaSimulationError(SOLVER,"Cvode::initialize()"); _idid = CVodeSetMaxOrd(_cvodeMem, 5); // Max Order if (_idid < 0) throw ModelicaSimulationError(SOLVER,"CVoder::initialize()"); _idid = CVodeSetMaxConvFails(_cvodeMem, 100); // Maximale Fehler im Konvergenztest if (_idid < 0) throw ModelicaSimulationError(SOLVER,"CVoder::initialize()"); _idid = CVodeSetStabLimDet(_cvodeMem, TRUE); // Stability Detection if (_idid < 0) throw ModelicaSimulationError(SOLVER,"CVoder::initialize()"); _idid = CVodeSetMinStep(_cvodeMem, dynamic_cast<ISolverSettings*>(_cvodesettings)->getLowerLimit()); // MINIMUM STEPSIZE if (_idid < 0) throw ModelicaSimulationError(SOLVER,"CVode::initialize()"); _idid = CVodeSetMaxStep(_cvodeMem, global_settings->getEndTime() / 10.0); // MAXIMUM STEPSIZE if (_idid < 0) throw ModelicaSimulationError(SOLVER,"CVode::initialize()"); _idid = CVodeSetMaxNonlinIters(_cvodeMem, 5); // Max number of iterations if (_idid < 0) throw ModelicaSimulationError(SOLVER,"CVode::initialize()"); _idid = CVodeSetMaxErrTestFails(_cvodeMem, 100); if (_idid < 0) throw ModelicaSimulationError(SOLVER,"CVode::initialize()"); _idid = CVodeSetMaxNumSteps(_cvodeMem, 1e3); // Max Number of steps if (_idid < 0) throw ModelicaSimulationError(SOLVER,/*_idid,_tCurrent,*/"Cvode::initialize()"); // Initialize linear solver #ifdef USE_SUNDIALS_LAPACK _idid = CVLapackDense(_cvodeMem, _dimSys); #else _idid = CVDense(_cvodeMem, _dimSys); #endif if (_idid < 0) throw ModelicaSimulationError(SOLVER,"Cvode::initialize()"); // Use own jacobian matrix // Check if Colored Jacobians are worth to use #if SUNDIALS_MAJOR_VERSION >= 2 || (SUNDIALS_MAJOR_VERSION == 2 && SUNDIALS_MINOR_VERSION >= 4) _maxColors = _system->getAMaxColors(); if(_maxColors < _dimSys && _continuous_system->getDimContinuousStates() > 0) { // _idid = CVDlsSetDenseJacFn(_cvodeMem, &CV_JCallback); // initializeColoredJac(); } #endif if (_idid < 0) throw ModelicaSimulationError(SOLVER,"CVode::initialize()"); if (_dimZeroFunc) { _idid = CVodeRootInit(_cvodeMem, _dimZeroFunc, &CV_ZerofCallback); memset(_zeroSign, 0, _dimZeroFunc * sizeof(int)); _idid = CVodeSetRootDirection(_cvodeMem, _zeroSign); if (_idid < 0) throw ModelicaSimulationError(SOLVER,/*_idid,_tCurrent,*/"CVode::initialize()"); memset(_zeroSign, -1, _dimZeroFunc * sizeof(int)); memset(_zeroVal, -1, _dimZeroFunc * sizeof(int)); } _cvode_initialized = true; LOGGER_WRITE("Cvode: initialized",LC_SOLV,LL_DEBUG); } }
void FCV_MALLOC(realtype *t0, realtype *y0, int *meth, int *itmeth, int *iatol, realtype *rtol, realtype *atol, int *optin, long int *iopt, realtype *ropt, int *ier) { int lmm, iter, itol; void *atolptr; atolptr = NULL; if(F2C_vec->ops->nvgetarraypointer == NULL || F2C_vec->ops->nvsetarraypointer == NULL) { *ier = -1; printf("A required vector operation is not implemented.\n\n"); return; } /* Save the data array in F2C_vec into data_F2C_vec and then overwrite it with y0 */ data_F2C_vec = N_VGetArrayPointer(F2C_vec); N_VSetArrayPointer(y0, F2C_vec); lmm = (*meth == 1) ? CV_ADAMS : CV_BDF; iter = (*itmeth == 1) ? CV_FUNCTIONAL : CV_NEWTON; switch (*iatol) { case 1: F2C_atolvec = NULL; itol = CV_SS; atolptr = (void *) atol; break; case 2: F2C_atolvec = N_VClone(F2C_vec); data_F2C_atolvec = N_VGetArrayPointer(F2C_atolvec); N_VSetArrayPointer(atol, F2C_atolvec); itol = CV_SV; atolptr = (void *) F2C_atolvec; break; case 3: F2C_atolvec = NULL; itol = CV_WF; break; } /* Call CVodeCreate, CVodeSet*, and CVodeMalloc to initialize CVODE: lmm is the method specifier iter is the iteration method specifier CVf is the user's right-hand side function in y'=f(t,y) *t0 is the initial time F2C_vec is the initial dependent variable vector itol specifies tolerance type rtol is the scalar relative tolerance atolptr is the absolute tolerance pointer (to scalar or vector or function) A pointer to CVODE problem memory is createded and stored in CV_cvodemem. */ *ier = 0; CV_cvodemem = CVodeCreate(lmm, iter); if (CV_cvodemem == NULL) { *ier = -1; return; } if (*optin == 1) { CV_optin = TRUE; if (iopt[0] > 0) CVodeSetMaxOrd(CV_cvodemem, (int)iopt[0]); if (iopt[1] > 0) CVodeSetMaxNumSteps(CV_cvodemem, iopt[1]); if (iopt[2] > 0) CVodeSetMaxHnilWarns(CV_cvodemem, (int)iopt[2]); if (iopt[13] > 0) CVodeSetStabLimDet(CV_cvodemem, TRUE); if (iopt[21] > 0) CVodeSetMaxErrTestFails(CV_cvodemem, (int)iopt[21]); if (iopt[22] > 0) CVodeSetMaxNonlinIters(CV_cvodemem, (int)iopt[22]); if (iopt[23] > 0) CVodeSetMaxConvFails(CV_cvodemem, (int)iopt[23]); if (ropt[0] != ZERO) CVodeSetInitStep(CV_cvodemem, ropt[0]); if (ropt[1] > ZERO) CVodeSetMaxStep(CV_cvodemem, ropt[1]); if (ropt[2] > ZERO) CVodeSetMinStep(CV_cvodemem, ropt[2]); if (ropt[7] != ZERO) CVodeSetStopTime(CV_cvodemem, ropt[7]); if (ropt[8] > ZERO) CVodeSetNonlinConvCoef(CV_cvodemem, ropt[8]); } else { CV_optin = FALSE; } *ier = CVodeMalloc(CV_cvodemem, FCVf, *t0, F2C_vec, itol, *rtol, atolptr); /* reset data pointer into F2C_vec */ N_VSetArrayPointer(data_F2C_vec, F2C_vec); /* destroy F2C_atolvec if allocated */ if (F2C_atolvec != NULL) { N_VSetArrayPointer(data_F2C_atolvec, F2C_atolvec); N_VDestroy(F2C_atolvec); } if(*ier != CV_SUCCESS) { *ier = -1; return; } /* Store the unit roundoff in ropt for user access */ ropt[9] = UNIT_ROUNDOFF; CV_iopt = iopt; CV_ropt = ropt; return; }
void FCV_REINIT(realtype *t0, realtype *y0, int *iatol, realtype *rtol, realtype *atol, int *optin, long int *iopt, realtype *ropt, int *ier) { int itol; void *atolptr; atolptr = NULL; N_VSetArrayPointer(y0, F2C_vec); switch (*iatol) { case 1: itol = CV_SS; atolptr = (void *) atol; break; case 2: F2C_atolvec = N_VClone(F2C_vec); data_F2C_atolvec = N_VGetArrayPointer(F2C_atolvec); N_VSetArrayPointer(atol, F2C_atolvec); itol = CV_SV; atolptr = (void *) F2C_atolvec; break; case 3: itol = CV_WF; } /* Call CVodeSet* and CVReInit to re-initialize CVODE: CVf is the user's right-hand side function in y'=f(t,y) t0 is the initial time F2C_vec is the initial dependent variable vector itol specifies tolerance type rtol is the scalar relative tolerance atolptr is the absolute tolerance pointer (to scalar or vector or function) */ if (*optin == 1) { CV_optin = TRUE; if (iopt[0] > 0) CVodeSetMaxOrd(CV_cvodemem, (int)iopt[0]); if (iopt[1] > 0) CVodeSetMaxNumSteps(CV_cvodemem, iopt[1]); if (iopt[2] > 0) CVodeSetMaxHnilWarns(CV_cvodemem, (int)iopt[2]); if (iopt[13] > 0) CVodeSetStabLimDet(CV_cvodemem, TRUE); if (iopt[21] > 0) CVodeSetMaxErrTestFails(CV_cvodemem, (int)iopt[21]); if (iopt[22] > 0) CVodeSetMaxNonlinIters(CV_cvodemem, (int)iopt[22]); if (iopt[23] > 0) CVodeSetMaxConvFails(CV_cvodemem, (int)iopt[23]); if (ropt[0] != ZERO) CVodeSetInitStep(CV_cvodemem, ropt[0]); if (ropt[1] > ZERO) CVodeSetMaxStep(CV_cvodemem, ropt[1]); if (ropt[2] > ZERO) CVodeSetMinStep(CV_cvodemem, ropt[2]); if (ropt[7] != ZERO) CVodeSetStopTime(CV_cvodemem, ropt[7]); if (ropt[8] > ZERO) CVodeSetNonlinConvCoef(CV_cvodemem, ropt[8]); } else { CV_optin = FALSE; } *ier = CVodeReInit(CV_cvodemem, FCVf, *t0, F2C_vec, itol, *rtol, atolptr); /* reset data pointer into F2C_vec */ N_VSetArrayPointer(data_F2C_vec, F2C_vec); /* destroy F2C_atolvec if allocated */ if (F2C_atolvec != NULL) { N_VSetArrayPointer(data_F2C_atolvec, F2C_atolvec); N_VDestroy(F2C_atolvec); } if (*ier != CV_SUCCESS) { *ier = -1; return; } CV_iopt = iopt; CV_ropt = ropt; return; }
void SundialsCvode::initialize() { int flag = 0; if (_initialized) { // Starting over with a new IC, but the same ODE flag = CVodeReInit(sundialsMem, t0, y.forSundials()); if (check_flag(&flag, "CVodeReInit", 1)) { throw DebugException("SundialsCvode::reInitialize: error in CVodeReInit"); } CVodeSetMaxNumSteps(sundialsMem, maxNumSteps); CVodeSetMinStep(sundialsMem, minStep); return; } // On the first call to initialize, need to allocate and set up // the Sundials solver, set tolerances and link the ODE functions sundialsMem = CVodeCreate(linearMultistepMethod, nonlinearSolverMethod); if (check_flag((void *)sundialsMem, "CVodeCreate", 0)) { throw DebugException("SundialsCvode::initialize: error in CVodeCreate"); } flag = CVodeInit(sundialsMem, f, t0, y.forSundials()); if (check_flag(&flag, "CVodeMalloc", 1)) { throw DebugException("SundialsCvode::initialize: error in CVodeMalloc"); } CVodeSVtolerances(sundialsMem, reltol, abstol.forSundials()); CVodeSetUserData(sundialsMem, theODE); CVodeSetMaxNumSteps(sundialsMem, maxNumSteps); CVodeSetMinStep(sundialsMem, minStep); if (findRoots) { rootsFound.resize(nRoots); // Call CVodeRootInit to specify the root function g with nRoots components flag = CVodeRootInit(sundialsMem, nRoots, g); if (check_flag(&flag, "CVodeRootInit", 1)) { throw DebugException("SundialsCvode::initialize: error in CVodeRootInit"); } } if (bandwidth_upper == -1 && bandwidth_lower == -1) { // Call CVDense to specify the CVDENSE dense linear solver flag = CVDense(sundialsMem, nEq); if (check_flag(&flag, "CVDense", 1)) { throw DebugException("SundialsCvode::initialize: error in CVDense"); } // Set the Jacobian routine to denseJac (user-supplied) flag = CVDlsSetDenseJacFn(sundialsMem, denseJac); if (check_flag(&flag, "CVDlsSetDenseJacFn", 1)) { throw DebugException("SundialsCvode::initialize: error in CVDlsSetDenseJacFn"); } } else { // Call CVDense to specify the CVBAND Banded linear solver flag = CVBand(sundialsMem, nEq, bandwidth_upper, bandwidth_lower); if (check_flag(&flag, "CVBand", 1)) { throw DebugException("SundialsCvode::initialize: error in CVBand"); } // Set the Jacobian routine to bandJac (user-supplied) flag = CVDlsSetBandJacFn(sundialsMem, bandJac); if (check_flag(&flag, "CVDlsSetBandJacFn", 1)) { throw DebugException("SundialsCvode::initialize: error in CVDlsSetBandJacFn"); } } _initialized = true; }