void FIDA_SETIIN(char key_name[], long int *ival, int *ier)
{
if (!strncmp(key_name,"MAX_ORD",7))
*ier = IDASetMaxOrd(IDA_idamem, (int) *ival);
else if (!strncmp(key_name,"MAX_NSTEPS",10))
*ier = IDASetMaxNumSteps(IDA_idamem, (int) *ival);
else if (!strncmp(key_name,"MAX_ERRFAIL",11))
*ier = IDASetMaxErrTestFails(IDA_idamem, (int) *ival);
else if (!strncmp(key_name,"MAX_NITERS",10))
*ier = IDASetMaxNonlinIters(IDA_idamem, (int) *ival);
else if (!strncmp(key_name,"MAX_CONVFAIL",12))
*ier = IDASetMaxConvFails(IDA_idamem, (int) *ival);
else if (!strncmp(key_name,"SUPPRESS_ALG",12))
*ier = IDASetSuppressAlg(IDA_idamem, (int) *ival);
else if (!strncmp(key_name,"MAX_NSTEPS_IC",13))
*ier = IDASetMaxNumStepsIC(IDA_idamem, (int) *ival);
else if (!strncmp(key_name,"MAX_NITERS_IC",13))
*ier = IDASetMaxNumItersIC(IDA_idamem, (int) *ival);
else if (!strncmp(key_name,"MAX_NJE_IC",10))
*ier = IDASetMaxNumJacsIC(IDA_idamem, (int) *ival);
else if (!strncmp(key_name,"LS_OFF_IC",9))
*ier = IDASetLineSearchOffIC(IDA_idamem, (int) *ival);
else {
*ier = -99;
printf("FIDASETIIN: Unrecognized key.\n\n");
}
}
int IDASetSuppressAlgB(void *ida_mem, int which, booleantype suppressalgB)
{
IDAMem IDA_mem;
IDAadjMem IDAADJ_mem;
IDABMem IDAB_mem;
void *ida_memB;
/* Is ida_mem valid? */
if (ida_mem == NULL) {
IDAProcessError(NULL, IDA_MEM_NULL, "IDAA", "IDASetSuppressAlgB", MSGAM_NULL_IDAMEM);
return IDA_MEM_NULL;
}
IDA_mem = (IDAMem) ida_mem;
/* Is ASA initialized? */
if (IDA_mem->ida_adjMallocDone == FALSE) {
IDAProcessError(IDA_mem, IDA_NO_ADJ, "IDAA", "IDASetSuppressAlgB", MSGAM_NO_ADJ);
return(IDA_NO_ADJ);
}
IDAADJ_mem = IDA_mem->ida_adj_mem;
/* Check the value of which */
if ( which >= nbckpbs ) {
IDAProcessError(IDA_mem, IDA_ILL_INPUT, "IDAA", "IDASetSuppressAlgB", MSGAM_BAD_WHICH);
return(IDA_ILL_INPUT);
}
/* Find the IDABMem entry in the linked list corresponding to 'which'. */
IDAB_mem = IDAADJ_mem->IDAB_mem;
while (IDAB_mem != NULL) {
if( which == IDAB_mem->ida_index ) break;
/* advance */
IDAB_mem = IDAB_mem->ida_next;
}
ida_memB = (void *) IDAB_mem->IDA_mem;
return IDASetSuppressAlg(ida_memB, suppressalgB);
}
int main(int argc, char *argv[])
{
MPI_Comm comm;
void *mem;
UserData data;
int thispe, iout, ier, npes;
long int Neq, local_N, mudq, mldq, mukeep, mlkeep;
realtype rtol, atol, t0, t1, tout, tret;
N_Vector uu, up, constraints, id, res;
mem = NULL;
data = NULL;
uu = up = constraints = id = res = NULL;
/* Get processor number and total number of pe's. */
MPI_Init(&argc, &argv);
comm = MPI_COMM_WORLD;
MPI_Comm_size(comm, &npes);
MPI_Comm_rank(comm, &thispe);
if (npes != NPEX*NPEY) {
if (thispe == 0)
fprintf(stderr,
"\nMPI_ERROR(0): npes = %d is not equal to NPEX*NPEY = %d\n",
npes,NPEX*NPEY);
MPI_Finalize();
return(1);
}
/* Set local length local_N and global length Neq. */
local_N = MXSUB*MYSUB;
Neq = MX * MY;
/* Allocate N-vectors. */
uu = N_VNew_Parallel(comm, local_N, Neq);
if(check_flag((void *)uu, "N_VNew_Parallel", 0, thispe)) MPI_Abort(comm, 1);
up = N_VNew_Parallel(comm, local_N, Neq);
if(check_flag((void *)up, "N_VNew_Parallel", 0, thispe)) MPI_Abort(comm, 1);
res = N_VNew_Parallel(comm, local_N, Neq);
if(check_flag((void *)res, "N_VNew_Parallel", 0, thispe)) MPI_Abort(comm, 1);
constraints = N_VNew_Parallel(comm, local_N, Neq);
if(check_flag((void *)constraints, "N_VNew_Parallel", 0, thispe)) MPI_Abort(comm, 1);
id = N_VNew_Parallel(comm, local_N, Neq);
if(check_flag((void *)id, "N_VNew_Parallel", 0, thispe)) MPI_Abort(comm, 1);
/* Allocate and initialize the data structure. */
data = (UserData) malloc(sizeof *data);
if(check_flag((void *)data, "malloc", 2, thispe)) MPI_Abort(comm, 1);
InitUserData(thispe, comm, data);
/* Initialize the uu, up, id, and constraints profiles. */
SetInitialProfile(uu, up, id, res, data);
N_VConst(ONE, constraints);
t0 = ZERO; t1 = RCONST(0.01);
/* Scalar relative and absolute tolerance. */
rtol = ZERO;
atol = RCONST(1.0e-3);
/* Call IDACreate and IDAMalloc to initialize solution */
mem = IDACreate();
if(check_flag((void *)mem, "IDACreate", 0, thispe)) MPI_Abort(comm, 1);
ier = IDASetUserData(mem, data);
if(check_flag(&ier, "IDASetUserData", 1, thispe)) MPI_Abort(comm, 1);
ier = IDASetSuppressAlg(mem, TRUE);
if(check_flag(&ier, "IDASetSuppressAlg", 1, thispe)) MPI_Abort(comm, 1);
ier = IDASetId(mem, id);
if(check_flag(&ier, "IDASetId", 1, thispe)) MPI_Abort(comm, 1);
ier = IDASetConstraints(mem, constraints);
if(check_flag(&ier, "IDASetConstraints", 1, thispe)) MPI_Abort(comm, 1);
N_VDestroy_Parallel(constraints);
ier = IDAInit(mem, heatres, t0, uu, up);
if(check_flag(&ier, "IDAInit", 1, thispe)) MPI_Abort(comm, 1);
ier = IDASStolerances(mem, rtol, atol);
if(check_flag(&ier, "IDASStolerances", 1, thispe)) MPI_Abort(comm, 1);
mudq = MXSUB;
mldq = MXSUB;
mukeep = 1;
mlkeep = 1;
/* Print problem description */
if (thispe == 0 ) PrintHeader(Neq, rtol, atol);
/*
* -----------------------------
* Case 1 -- mldq = mudq = MXSUB
* -----------------------------
*/
/* Call IDASpgmr to specify the linear solver. */
ier = IDASpgmr(mem, 0);
if(check_flag(&ier, "IDASpgmr", 1, thispe)) MPI_Abort(comm, 1);
/* Call IDABBDPrecInit to initialize BBD preconditioner. */
ier = IDABBDPrecInit(mem, local_N, mudq, mldq, mukeep, mlkeep,
ZERO, reslocal, NULL);
if(check_flag(&ier, "IDABBDPrecAlloc", 1, thispe)) MPI_Abort(comm, 1);
/* Print output heading (on processor 0 only) and initial solution. */
if (thispe == 0) PrintCase(1, mudq, mukeep);
/* Loop over tout, call IDASolve, print output. */
for (tout = t1, iout = 1; iout <= NOUT; iout++, tout *= TWO) {
ier = IDASolve(mem, tout, &tret, uu, up, IDA_NORMAL);
if(check_flag(&ier, "IDASolve", 1, thispe)) MPI_Abort(comm, 1);
PrintOutput(thispe, mem, tret, uu);
}
/* Print final statistics */
if (thispe == 0) PrintFinalStats(mem);
/*
* -----------------------------
* Case 2 -- mldq = mudq = 1
* -----------------------------
*/
mudq = 1;
mldq = 1;
/* Re-initialize the uu and up profiles. */
SetInitialProfile(uu, up, id, res, data);
/* Call IDAReInit to re-initialize IDA. */
ier = IDAReInit(mem, t0, uu, up);
if(check_flag(&ier, "IDAReInit", 1, thispe)) MPI_Abort(comm, 1);
/* Call IDABBDPrecReInit to re-initialize BBD preconditioner. */
ier = IDABBDPrecReInit(mem, mudq, mldq, ZERO);
if(check_flag(&ier, "IDABBDPrecReInit", 1, thispe)) MPI_Abort(comm, 1);
/* Print output heading (on processor 0 only). */
if (thispe == 0) PrintCase(2, mudq, mukeep);
/* Loop over tout, call IDASolve, print output. */
for (tout = t1, iout = 1; iout <= NOUT; iout++, tout *= TWO) {
ier = IDASolve(mem, tout, &tret, uu, up, IDA_NORMAL);
if(check_flag(&ier, "IDASolve", 1, thispe)) MPI_Abort(comm, 1);
PrintOutput(thispe, mem, tret, uu);
}
/* Print final statistics */
if (thispe == 0) PrintFinalStats(mem);
/* Free Memory */
IDAFree(&mem);
free(data);
N_VDestroy_Parallel(id);
N_VDestroy_Parallel(res);
N_VDestroy_Parallel(up);
N_VDestroy_Parallel(uu);
MPI_Finalize();
return(0);
}
void Ida::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*>(_idasettings)->getGlobalSettings();
// Kennzeichnung, dass initialize()() (vor der Integration) aufgerufen wurde
_idid = 5000;
_tLastEvent = 0.0;
_event_n = 0;
SolverDefaultImplementation::initialize();
_dimStates = _continuous_system->getDimContinuousStates();
_dimZeroFunc = _event_system->getDimZeroFunc()+_event_system->getDimClock();
_dimAE = _continuous_system->getDimAE();
if(_dimAE>0)
_dimSys=_dimAE+ _dimStates;
else
_dimSys=_dimStates;
if (_dimStates <= 0)
{
_idid = -1;
throw std::invalid_argument("Ida::initialize()");
}
else
{
// Allocate state vectors, stages and temporary arrays
/*if (_z)
delete[] _z;
if (_zInit)
delete[] _zInit;
if (_zWrite)
delete[] _zWrite;*/
if (_y)
delete[] _y;
if (_yInit)
delete[] _yInit;
if (_yWrite)
delete[] _yWrite;
if (_ypWrite)
delete[] _ypWrite;
if (_yp)
delete[] _yp;
if (_dae_res)
delete[] _dae_res;
if (_zeroSign)
delete[] _zeroSign;
if (_absTol)
delete[] _absTol;
if(_delta)
delete [] _delta;
if(_deltaInv)
delete [] _deltaInv;
if(_ysave)
delete [] _ysave;
_y = new double[_dimSys];
_yp = new double[_dimSys];
_yInit = new double[_dimSys];
_yWrite = new double[_dimSys];
_ypWrite = new double[_dimSys];
_dae_res = new double[_dimSys];
/*
_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(_y, 0, _dimSys * sizeof(double));
memset(_yp, 0, _dimSys * sizeof(double));
memset(_yInit, 0, _dimSys * sizeof(double));
memset(_ysave, 0, _dimSys * sizeof(double));
std::fill_n(_absTol, _dimSys, 1.0);
// Counter initialisieren
_outStps = 0;
if (_idasettings->getDenseOutput())
{
// Ausgabeschrittweite
_hOut = global_settings->gethOutput();
}
// Allocate memory for the solver
_idaMem = IDACreate();
if (check_flag((void*) _idaMem, "IDACreate", 0))
{
_idid = -5;
throw std::invalid_argument(/*_idid,_tCurrent,*/"Ida::initialize()");
}
//
// Make Ida ready for integration
//
// Set initial values for IDA
//_continuous_system->evaluateAll(IContinuous::CONTINUOUS);
_continuous_system->getContinuousStates(_yInit);
memcpy(_y, _yInit, _dimStates * sizeof(double));
if(_dimAE>0)
{
_mixed_system->getAlgebraicDAEVars(_yInit+_dimStates);
memcpy(_y+_dimStates, _yInit+_dimStates, _dimAE * sizeof(double));
_continuous_system->getContinuousStates(_yp);
}
// Get nominal values
_continuous_system->getNominalStates(_absTol);
for (int i = 0; i < _dimStates; i++)
_absTol[i] = dynamic_cast<ISolverSettings*>(_idasettings)->getATol();
_CV_y0 = N_VMake_Serial(_dimSys, _yInit);
_CV_y = N_VMake_Serial(_dimSys, _y);
_CV_yp = N_VMake_Serial(_dimSys, _yp);
_CV_yWrite = N_VMake_Serial(_dimSys, _yWrite);
_CV_ypWrite = N_VMake_Serial(_dimSys, _ypWrite);
_CV_absTol = N_VMake_Serial(_dimSys, _absTol);
if (check_flag((void*) _CV_y0, "N_VMake_Serial", 0))
{
_idid = -5;
throw std::invalid_argument("Ida::initialize()");
}
//is already initialized: calcFunction(_tCurrent, NV_DATA_S(_CV_y0), NV_DATA_S(_CV_yp),NV_DATA_S(_CV_yp));
// Initialize Ida (Initial values are required)
_idid = IDAInit(_idaMem, rhsFunctionCB, _tCurrent, _CV_y0, _CV_yp);
if (_idid < 0)
{
_idid = -5;
throw std::invalid_argument("Ida::initialize()");
}
_idid = IDASetErrHandlerFn(_idaMem, errOutputIDA, _data);
if (_idid < 0)
throw std::invalid_argument("IDA::initialize()");
// Set Tolerances
_idid = IDASVtolerances(_idaMem, dynamic_cast<ISolverSettings*>(_idasettings)->getRTol(), _CV_absTol); // RTOL and ATOL
if (_idid < 0)
throw std::invalid_argument("IDA::initialize()");
// Set the pointer to user-defined data
_idid = IDASetUserData(_idaMem, _data);
if (_idid < 0)
throw std::invalid_argument("IDA::initialize()");
_idid = IDASetInitStep(_idaMem, 1e-6); // INITIAL STEPSIZE
if (_idid < 0)
throw std::invalid_argument("Ida::initialize()");
_idid = IDASetMaxStep(_idaMem, global_settings->getEndTime() / 10.0); // MAXIMUM STEPSIZE
if (_idid < 0)
throw std::invalid_argument("IDA::initialize()");
_idid = IDASetMaxNonlinIters(_idaMem, 5); // Max number of iterations
if (_idid < 0)
throw std::invalid_argument("IDA::initialize()");
_idid = IDASetMaxErrTestFails(_idaMem, 100);
if (_idid < 0)
throw std::invalid_argument("IDA::initialize()");
_idid = IDASetMaxNumSteps(_idaMem, 1e3); // Max Number of steps
if (_idid < 0)
throw std::invalid_argument(/*_idid,_tCurrent,*/"IDA::initialize()");
// Initialize linear solver
_idid = IDADense(_idaMem, _dimSys);
if (_idid < 0)
throw std::invalid_argument("IDA::initialize()");
if(_dimAE>0)
{
_idid = IDASetSuppressAlg(_idaMem, TRUE);
double* tmp = new double[_dimSys];
std::fill_n(tmp, _dimStates, 1.0);
std::fill_n(tmp+_dimStates, _dimAE, 0.0);
_idid = IDASetId(_idaMem, N_VMake_Serial(_dimSys,tmp));
delete [] tmp;
if (_idid < 0)
throw std::invalid_argument("IDA::initialize()");
}
// Use own jacobian matrix
//_idid = CVDlsSetDenseJacFn(_idaMem, &jacobianFunctionCB);
//if (_idid < 0)
// throw std::invalid_argument("IDA::initialize()");
if (_dimZeroFunc)
{
_idid = IDARootInit(_idaMem, _dimZeroFunc, &zeroFunctionCB);
memset(_zeroSign, 0, _dimZeroFunc * sizeof(int));
_idid = IDASetRootDirection(_idaMem, _zeroSign);
if (_idid < 0)
throw std::invalid_argument(/*_idid,_tCurrent,*/"IDA::initialize()");
memset(_zeroSign, -1, _dimZeroFunc * sizeof(int));
memset(_zeroVal, -1, _dimZeroFunc * sizeof(int));
}
_ida_initialized = true;
//
// IDA is ready for integration
//
// BOOST_LOG_SEV(ida_lg::get(), ida_info) << "IDA initialized";
}
}
int main(int argc, char *argv[])
{
MPI_Comm comm;
void *mem;
UserData data;
int thispe, iout, ier, npes;
int Neq, local_N, mudq, mldq, mukeep, mlkeep;
realtype rtol, atol, t0, t1, tout, tret;
N_Vector uu, up, constraints, id, res;
realtype *pbar;
int is;
N_Vector *uuS, *upS;
booleantype sensi, err_con;
int sensi_meth;
mem = NULL;
data = NULL;
uu = up = constraints = id = res = NULL;
uuS = upS = NULL;
/* Get processor number and total number of pe's. */
MPI_Init(&argc, &argv);
comm = MPI_COMM_WORLD;
MPI_Comm_size(comm, &npes);
MPI_Comm_rank(comm, &thispe);
if (npes != NPEX*NPEY) {
if (thispe == 0)
fprintf(stderr,
"\nMPI_ERROR(0): npes = %d is not equal to NPEX*NPEY = %d\n",
npes,NPEX*NPEY);
MPI_Finalize();
return(1);
}
/* Process arguments */
ProcessArgs(argc, argv, thispe, &sensi, &sensi_meth, &err_con);
/* Set local length local_N and global length Neq. */
local_N = MXSUB*MYSUB;
Neq = MX * MY;
/* Allocate N-vectors. */
uu = N_VNew_Parallel(comm, local_N, Neq);
if(check_flag((void *)uu, "N_VNew_Parallel", 0, thispe)) MPI_Abort(comm, 1);
up = N_VNew_Parallel(comm, local_N, Neq);
if(check_flag((void *)up, "N_VNew_Parallel", 0, thispe)) MPI_Abort(comm, 1);
res = N_VNew_Parallel(comm, local_N, Neq);
if(check_flag((void *)res, "N_VNew_Parallel", 0, thispe)) MPI_Abort(comm, 1);
constraints = N_VNew_Parallel(comm, local_N, Neq);
if(check_flag((void *)constraints, "N_VNew_Parallel", 0, thispe)) MPI_Abort(comm, 1);
id = N_VNew_Parallel(comm, local_N, Neq);
if(check_flag((void *)id, "N_VNew_Parallel", 0, thispe)) MPI_Abort(comm, 1);
/* Allocate and initialize the data structure. */
data = (UserData) malloc(sizeof *data);
if(check_flag((void *)data, "malloc", 2, thispe)) MPI_Abort(comm, 1);
InitUserData(thispe, comm, data);
/* Initialize the uu, up, id, and constraints profiles. */
SetInitialProfile(uu, up, id, res, data);
N_VConst(ONE, constraints);
t0 = ZERO; t1 = RCONST(0.01);
/* Scalar relative and absolute tolerance. */
rtol = ZERO;
atol = RCONST(1.0e-3);
/* Call IDACreate and IDAInit to initialize solution and various
IDASet*** functions to specify optional inputs:
- indicate which variables are differential and which are algebraic
- exclude algebraic variables from error test
- specify additional constraints on solution components */
mem = IDACreate();
if(check_flag((void *)mem, "IDACreate", 0, thispe)) MPI_Abort(comm, 1);
ier = IDASetUserData(mem, data);
if(check_flag(&ier, "IDASetUserData", 1, thispe)) MPI_Abort(comm, 1);
ier = IDASetSuppressAlg(mem, TRUE);
if(check_flag(&ier, "IDASetSuppressAlg", 1, thispe)) MPI_Abort(comm, 1);
ier = IDASetId(mem, id);
if(check_flag(&ier, "IDASetId", 1, thispe)) MPI_Abort(comm, 1);
ier = IDASetConstraints(mem, constraints);
if(check_flag(&ier, "IDASetConstraints", 1, thispe)) MPI_Abort(comm, 1);
N_VDestroy_Parallel(constraints);
ier = IDAInit(mem, heatres, t0, uu, up);
if(check_flag(&ier, "IDAInit", 1, thispe)) MPI_Abort(comm, 1);
/* Specify state tolerances (scalar relative and absolute tolerances) */
ier = IDASStolerances(mem, rtol, atol);
if(check_flag(&ier, "IDASStolerances", 1, thispe)) MPI_Abort(comm, 1);
/* Call IDASpgmr to specify the linear solver. */
ier = IDASpgmr(mem, 12);
if(check_flag(&ier, "IDASpgmr", 1, thispe)) MPI_Abort(comm, 1);
/* Call IDABBDPrecInit to initialize BBD preconditioner. */
mudq = MXSUB;
mldq = MXSUB;
mukeep = 1;
mlkeep = 1;
ier = IDABBDPrecInit(mem, local_N, mudq, mldq, mukeep, mlkeep,
ZERO, reslocal, NULL);
if(check_flag(&ier, "IDABBDPrecInit", 1, thispe)) MPI_Abort(comm, 1);
/* Sensitivity-related settings */
if( sensi) {
/* Allocate and set pbar, the vector with order of magnitude
information for the problem parameters. (Note: this is
done here as an illustration only, as the default values
for pbar, if pbar is not supplied, are anyway 1.0) */
pbar = (realtype *) malloc(NS*sizeof(realtype));
if (check_flag((void *)pbar, "malloc", 2, thispe)) MPI_Abort(comm, 1);
for (is=0; is<NS; is++) pbar[is] = data->p[is];
/* Allocate sensitivity solution vectors uuS and upS and set them
to an initial guess for the sensitivity ICs (the IC for uuS are
0.0 since the state IC do not depend on the porblem parameters;
however, the derivatives upS may not and therefore we will have
to call IDACalcIC to find them) */
uuS = N_VCloneVectorArray_Parallel(NS, uu);
if (check_flag((void *)uuS, "N_VCloneVectorArray_Parallel", 0, thispe)) MPI_Abort(comm, 1);
for (is = 0; is < NS; is++) N_VConst(ZERO,uuS[is]);
upS = N_VCloneVectorArray_Parallel(NS, uu);
if (check_flag((void *)upS, "N_VCloneVectorArray_Parallel", 0, thispe)) MPI_Abort(comm, 1);
for (is = 0; is < NS; is++) N_VConst(ZERO,upS[is]);
/* Initialize FSA using the default internal sensitivity residual function
(Note that this requires specifying the problem parameters -- see below) */
ier = IDASensInit(mem, NS, sensi_meth, NULL, uuS, upS);
if(check_flag(&ier, "IDASensInit", 1, thispe)) MPI_Abort(comm, 1);
/* Indicate the use of internally estimated tolerances for the sensitivity
variables (based on the tolerances provided for the states and the
pbar values) */
ier = IDASensEEtolerances(mem);
if(check_flag(&ier, "IDASensEEtolerances", 1, thispe)) MPI_Abort(comm, 1);
/* Specify whether the sensitivity variables are included in the error
test or not */
ier = IDASetSensErrCon(mem, err_con);
if(check_flag(&ier, "IDASetSensErrCon", 1, thispe)) MPI_Abort(comm, 1);
/* Specify the problem parameters and their order of magnitude
(Note that we do not specify the index array plist and therefore
IDAS will compute sensitivities w.r.t. the first NS parameters) */
ier = IDASetSensParams(mem, data->p, pbar, NULL);
if(check_flag(&ier, "IDASetSensParams", 1, thispe)) MPI_Abort(comm, 1);
/* Compute consistent initial conditions (Note that this is required
only if performing SA since uu and up already contain consistent
initial conditions for the states) */
ier = IDACalcIC(mem, IDA_YA_YDP_INIT, t1);
if(check_flag(&ier, "IDACalcIC", 1, thispe)) MPI_Abort(comm, 1);
}
/* Print problem description */
if (thispe == 0 ) PrintHeader(Neq, rtol, atol, mudq, mukeep,
sensi, sensi_meth, err_con);
/* Loop over tout, call IDASolve, print output. */
for (tout = t1, iout = 1; iout <= NOUT; iout++, tout *= TWO) {
ier = IDASolve(mem, tout, &tret, uu, up, IDA_NORMAL);
if(check_flag(&ier, "IDASolve", 1, thispe)) MPI_Abort(comm, 1);
if (sensi) {
ier = IDAGetSens(mem, &tret, uuS);
if(check_flag(&ier, "IDAGetSens", 1, thispe)) MPI_Abort(comm, 1);
}
PrintOutput(thispe, mem, tret, uu, sensi, uuS);
}
/* Print final statistics */
if (thispe == 0) PrintFinalStats(mem);
/* Free Memory */
IDAFree(&mem);
free(data);
N_VDestroy_Parallel(id);
N_VDestroy_Parallel(res);
N_VDestroy_Parallel(up);
N_VDestroy_Parallel(uu);
MPI_Finalize();
return(0);
}
int main(void)
{
UserData data;
void *mem;
N_Vector yy, yp, id;
realtype rtol, atol;
realtype t0, tf, tout, dt, tret;
int flag, iout;
/* User data */
data = (UserData) malloc(sizeof *data);
data->a = 0.5; /* half-length of crank */
data->J1 = 1.0; /* crank moment of inertia */
data->m2 = 1.0; /* mass of connecting rod */
data->J2 = 2.0; /* moment of inertia of connecting rod */
data->k = 1.0; /* spring constant */
data->c = 1.0; /* damper constant */
data->l0 = 1.0; /* spring free length */
data->F = 1.0; /* external constant force */
/* Create N_Vectors */
yy = N_VNew_Serial(NEQ);
yp = N_VNew_Serial(NEQ);
id = N_VNew_Serial(NEQ);
/* Consistent IC */
setIC(yy, yp, data);
/* ID array */
N_VConst(ONE, id);
NV_Ith_S(id,6) = ZERO;
NV_Ith_S(id,7) = ZERO;
NV_Ith_S(id,8) = ZERO;
NV_Ith_S(id,9) = ZERO;
/* Tolerances */
rtol = RCONST(1.0e-6);
atol = RCONST(1.0e-6);
/* Integration limits */
t0 = ZERO;
tf = TEND;
dt = (tf-t0)/(NOUT-1);
/* IDA initialization */
mem = IDACreate();
flag = IDAInit(mem, ressc, t0, yy, yp);
flag = IDASStolerances(mem, rtol, atol);
flag = IDASetUserData(mem, data);
flag = IDASetId(mem, id);
flag = IDASetSuppressAlg(mem, TRUE);
/* Call IDADense and set up the linear solver. */
flag = IDADense(mem, NEQ);
PrintHeader(rtol, atol, yy);
/* In loop, call IDASolve, print results, and test for error. */
PrintOutput(mem,t0,yy);
tout = dt;
for (iout=1; iout<NOUT; iout++) {
tout = iout*dt;
flag = IDASolve(mem, tout, &tret, yy, yp, IDA_NORMAL);
if (flag < 0) break;
PrintOutput(mem,tret,yy);
}
PrintFinalStats(mem);
/* Free memory */
free(data);
IDAFree(&mem);
N_VDestroy_Serial(yy);
N_VDestroy_Serial(yp);
N_VDestroy_Serial(id);
return(0);
}
int main(void)
{
UserData data;
void *mem;
N_Vector yy, yp, id, q;
realtype tret, tout;
int flag;
id = N_VNew_Serial(NEQ);
yy = N_VNew_Serial(NEQ);
yp = N_VNew_Serial(NEQ);
q = N_VNew_Serial(1);
data = (UserData) malloc(sizeof *data);
data->a = 0.5; /* half-length of crank */
data->J1 = 1.0; /* crank moment of inertia */
data->m2 = 1.0; /* mass of connecting rod */
data->m1 = 1.0;
data->J2 = 2.0; /* moment of inertia of connecting rod */
data->params[0] = 1.0; /* spring constant */
data->params[1] = 1.0; /* damper constant */
data->l0 = 1.0; /* spring free length */
data->F = 1.0; /* external constant force */
N_VConst(ONE, id);
NV_Ith_S(id, 9) = ZERO;
NV_Ith_S(id, 8) = ZERO;
NV_Ith_S(id, 7) = ZERO;
NV_Ith_S(id, 6) = ZERO;
/* Consistent IC*/
setIC(yy, yp, data);
/* IDAS initialization */
mem = IDACreate();
flag = IDAInit(mem, ressc, TBEGIN, yy, yp);
flag = IDASStolerances(mem, RTOLF, ATOLF);
flag = IDASetUserData(mem, data);
flag = IDASetId(mem, id);
flag = IDASetSuppressAlg(mem, TRUE);
flag = IDASetMaxNumSteps(mem, 20000);
/* Call IDADense and set up the linear solver. */
flag = IDADense(mem, NEQ);
N_VConst(ZERO, q);
flag = IDAQuadInit(mem, rhsQ, q);
flag = IDAQuadSStolerances(mem, RTOLQ, ATOLQ);
flag = IDASetQuadErrCon(mem, TRUE);
PrintHeader(RTOLF, ATOLF, yy);
/* Print initial states */
PrintOutput(mem,0.0,yy);
/* Perform forward run */
tout = TEND/NOUT;
while (1) {
flag = IDASolve(mem, tout, &tret, yy, yp, IDA_NORMAL);
if (check_flag(&flag, "IDASolve", 1)) return(1);
PrintOutput(mem,tret,yy);
tout += TEND/NOUT;
if (tret > TEND) break;
}
PrintFinalStats(mem);
IDAGetQuad(mem, &tret, q);
printf("--------------------------------------------\n");
printf(" G = %24.16f\n", Ith(q,1));
printf("--------------------------------------------\n\n");
IDAFree(&mem);
/* Free memory */
free(data);
N_VDestroy(id);
N_VDestroy_Serial(yy);
N_VDestroy_Serial(yp);
N_VDestroy_Serial(q);
return(0);
}
int main(void)
{
UserData data;
void *mem;
N_Vector yy, yp, id, q, *yyS, *ypS, *qS;
realtype tret;
realtype pbar[2];
realtype dp, G, Gm[2], Gp[2];
int flag, is;
realtype atolS[NP];
id = N_VNew_Serial(NEQ);
yy = N_VNew_Serial(NEQ);
yp = N_VNew_Serial(NEQ);
q = N_VNew_Serial(1);
yyS= N_VCloneVectorArray(NP,yy);
ypS= N_VCloneVectorArray(NP,yp);
qS = N_VCloneVectorArray_Serial(NP, q);
data = (UserData) malloc(sizeof *data);
data->a = 0.5; /* half-length of crank */
data->J1 = 1.0; /* crank moment of inertia */
data->m2 = 1.0; /* mass of connecting rod */
data->m1 = 1.0;
data->J2 = 2.0; /* moment of inertia of connecting rod */
data->params[0] = 1.0; /* spring constant */
data->params[1] = 1.0; /* damper constant */
data->l0 = 1.0; /* spring free length */
data->F = 1.0; /* external constant force */
N_VConst(ONE, id);
NV_Ith_S(id, 9) = ZERO;
NV_Ith_S(id, 8) = ZERO;
NV_Ith_S(id, 7) = ZERO;
NV_Ith_S(id, 6) = ZERO;
printf("\nSlider-Crank example for IDAS:\n");
/* Consistent IC*/
setIC(yy, yp, data);
for (is=0;is<NP;is++) {
N_VConst(ZERO, yyS[is]);
N_VConst(ZERO, ypS[is]);
}
/* IDA initialization */
mem = IDACreate();
flag = IDAInit(mem, ressc, TBEGIN, yy, yp);
flag = IDASStolerances(mem, RTOLF, ATOLF);
flag = IDASetUserData(mem, data);
flag = IDASetId(mem, id);
flag = IDASetSuppressAlg(mem, TRUE);
flag = IDASetMaxNumSteps(mem, 20000);
/* Call IDADense and set up the linear solver. */
flag = IDADense(mem, NEQ);
flag = IDASensInit(mem, NP, IDA_SIMULTANEOUS, NULL, yyS, ypS);
pbar[0] = data->params[0];pbar[1] = data->params[1];
flag = IDASetSensParams(mem, data->params, pbar, NULL);
flag = IDASensEEtolerances(mem);
IDASetSensErrCon(mem, TRUE);
N_VConst(ZERO, q);
flag = IDAQuadInit(mem, rhsQ, q);
flag = IDAQuadSStolerances(mem, RTOLQ, ATOLQ);
flag = IDASetQuadErrCon(mem, TRUE);
N_VConst(ZERO, qS[0]);
flag = IDAQuadSensInit(mem, rhsQS, qS);
atolS[0] = atolS[1] = ATOLQ;
flag = IDAQuadSensSStolerances(mem, RTOLQ, atolS);
flag = IDASetQuadSensErrCon(mem, TRUE);
/* Perform forward run */
printf("\nForward integration ... ");
flag = IDASolve(mem, TEND, &tret, yy, yp, IDA_NORMAL);
if (check_flag(&flag, "IDASolve", 1)) return(1);
printf("done!\n");
PrintFinalStats(mem);
IDAGetQuad(mem, &tret, q);
printf("--------------------------------------------\n");
printf(" G = %24.16f\n", Ith(q,1));
printf("--------------------------------------------\n\n");
IDAGetQuadSens(mem, &tret, qS);
printf("-------------F O R W A R D------------------\n");
printf(" dG/dp: %12.4le %12.4le\n", Ith(qS[0],1), Ith(qS[1],1));
printf("--------------------------------------------\n\n");
IDAFree(&mem);
/* Finite differences for dG/dp */
dp = 0.00001;
data->params[0] = ONE;
data->params[1] = ONE;
mem = IDACreate();
setIC(yy, yp, data);
flag = IDAInit(mem, ressc, TBEGIN, yy, yp);
flag = IDASStolerances(mem, RTOLFD, ATOLFD);
flag = IDASetUserData(mem, data);
flag = IDASetId(mem, id);
flag = IDASetSuppressAlg(mem, TRUE);
/* Call IDADense and set up the linear solver. */
flag = IDADense(mem, NEQ);
N_VConst(ZERO, q);
IDAQuadInit(mem, rhsQ, q);
IDAQuadSStolerances(mem, RTOLQ, ATOLQ);
IDASetQuadErrCon(mem, TRUE);
IDASolve(mem, TEND, &tret, yy, yp, IDA_NORMAL);
IDAGetQuad(mem,&tret,q);
G = Ith(q,1);
/*printf(" G =%12.6e\n", Ith(q,1));*/
/******************************
* BACKWARD for k
******************************/
data->params[0] -= dp;
setIC(yy, yp, data);
IDAReInit(mem, TBEGIN, yy, yp);
N_VConst(ZERO, q);
IDAQuadReInit(mem, q);
IDASolve(mem, TEND, &tret, yy, yp, IDA_NORMAL);
IDAGetQuad(mem, &tret, q);
Gm[0] = Ith(q,1);
/*printf("Gm[0]=%12.6e\n", Ith(q,1));*/
/****************************
* FORWARD for k *
****************************/
data->params[0] += (TWO*dp);
setIC(yy, yp, data);
IDAReInit(mem, TBEGIN, yy, yp);
N_VConst(ZERO, q);
IDAQuadReInit(mem, q);
IDASolve(mem, TEND, &tret, yy, yp, IDA_NORMAL);
IDAGetQuad(mem, &tret, q);
Gp[0] = Ith(q,1);
/*printf("Gp[0]=%12.6e\n", Ith(q,1));*/
/* Backward for c */
data->params[0] = ONE;
data->params[1] -= dp;
setIC(yy, yp, data);
IDAReInit(mem, TBEGIN, yy, yp);
N_VConst(ZERO, q);
IDAQuadReInit(mem, q);
IDASolve(mem, TEND, &tret, yy, yp, IDA_NORMAL);
IDAGetQuad(mem, &tret, q);
Gm[1] = Ith(q,1);
/* Forward for c */
data->params[1] += (TWO*dp);
setIC(yy, yp, data);
IDAReInit(mem, TBEGIN, yy, yp);
N_VConst(ZERO, q);
IDAQuadReInit(mem, q);
IDASolve(mem, TEND, &tret, yy, yp, IDA_NORMAL);
IDAGetQuad(mem, &tret, q);
Gp[1] = Ith(q,1);
IDAFree(&mem);
printf("\n\n Checking using Finite Differences \n\n");
printf("---------------BACKWARD------------------\n");
printf(" dG/dp: %12.4le %12.4le\n", (G-Gm[0])/dp, (G-Gm[1])/dp);
printf("-----------------------------------------\n\n");
printf("---------------FORWARD-------------------\n");
printf(" dG/dp: %12.4le %12.4le\n", (Gp[0]-G)/dp, (Gp[1]-G)/dp);
printf("-----------------------------------------\n\n");
printf("--------------CENTERED-------------------\n");
printf(" dG/dp: %12.4le %12.4le\n", (Gp[0]-Gm[0])/(TWO*dp) ,(Gp[1]-Gm[1])/(TWO*dp));
printf("-----------------------------------------\n\n");
/* Free memory */
free(data);
N_VDestroy(id);
N_VDestroy_Serial(yy);
N_VDestroy_Serial(yp);
N_VDestroy_Serial(q);
return(0);
}