int main(int argc, char *argv[])
{
void *cvode_mem;
UserData data;
realtype t, tout;
N_Vector y;
int iout, flag, nthreads, nnz;
realtype pbar[NS];
int is;
N_Vector *yS;
booleantype sensi, err_con;
int sensi_meth;
cvode_mem = NULL;
data = NULL;
y = NULL;
yS = NULL;
/* Process arguments */
ProcessArgs(argc, argv, &sensi, &sensi_meth, &err_con);
/* User data structure */
data = (UserData) malloc(sizeof *data);
if (check_flag((void *)data, "malloc", 2)) return(1);
data->p[0] = RCONST(0.04);
data->p[1] = RCONST(1.0e4);
data->p[2] = RCONST(3.0e7);
/* Initial conditions */
y = N_VNew_Serial(NEQ);
if (check_flag((void *)y, "N_VNew_Serial", 0)) return(1);
Ith(y,1) = Y1;
Ith(y,2) = Y2;
Ith(y,3) = Y3;
/* Call CVodeCreate to create the solver memory and specify the
Backward Differentiation Formula and the use of a Newton iteration */
cvode_mem = CVodeCreate(CV_BDF, CV_NEWTON);
if (check_flag((void *)cvode_mem, "CVodeCreate", 0)) return(1);
/* Call CVodeInit to initialize the integrator memory and specify the
user's right hand side function in y'=f(t,y), the initial time T0, and
the initial dependent variable vector y. */
flag = CVodeInit(cvode_mem, f, T0, y);
if (check_flag(&flag, "CVodeInit", 1)) return(1);
/* Call CVodeWFtolerances to specify a user-supplied function ewt that sets
the multiplicative error weights W_i for use in the weighted RMS norm */
flag = CVodeWFtolerances(cvode_mem, ewt);
if (check_flag(&flag, "CVodeSetEwtFn", 1)) return(1);
/* Attach user data */
flag = CVodeSetUserData(cvode_mem, data);
if (check_flag(&flag, "CVodeSetUserData", 1)) return(1);
/* Call CVKLU to specify the CVKLU sparse direct linear solver */
nthreads = 1; /* no. of threads to use when factoring the system*/
nnz = NEQ * NEQ; /* max no. of nonzeros entries in the Jac */
flag = CVSuperLUMT(cvode_mem, nthreads, NEQ, nnz);
if (check_flag(&flag, "CVSuperLUMT", 1)) return(1);
/* Set the Jacobian routine to Jac (user-supplied) */
flag = CVSlsSetSparseJacFn(cvode_mem, Jac);
if (check_flag(&flag, "CVSlsSetSparseJacFn", 1)) return(1);
printf("\n3-species chemical kinetics problem\n");
/* Sensitivity-related settings */
if (sensi) {
/* Set parameter scaling factor */
pbar[0] = data->p[0];
pbar[1] = data->p[1];
pbar[2] = data->p[2];
/* Set sensitivity initial conditions */
yS = N_VCloneVectorArray_Serial(NS, y);
if (check_flag((void *)yS, "N_VCloneVectorArray_Serial", 0)) return(1);
for (is=0;is<NS;is++) N_VConst(ZERO, yS[is]);
/* Call CVodeSensInit1 to activate forward sensitivity computations
and allocate internal memory for COVEDS related to sensitivity
calculations. Computes the right-hand sides of the sensitivity
ODE, one at a time */
flag = CVodeSensInit1(cvode_mem, NS, sensi_meth, fS, yS);
if(check_flag(&flag, "CVodeSensInit", 1)) return(1);
/* Call CVodeSensEEtolerances to estimate tolerances for sensitivity
variables based on the rolerances supplied for states variables and
the scaling factor pbar */
flag = CVodeSensEEtolerances(cvode_mem);
if(check_flag(&flag, "CVodeSensEEtolerances", 1)) return(1);
/* Set sensitivity analysis optional inputs */
/* Call CVodeSetSensErrCon to specify the error control strategy for
sensitivity variables */
flag = CVodeSetSensErrCon(cvode_mem, err_con);
if (check_flag(&flag, "CVodeSetSensErrCon", 1)) return(1);
/* Call CVodeSetSensParams to specify problem parameter information for
sensitivity calculations */
flag = CVodeSetSensParams(cvode_mem, NULL, pbar, NULL);
if (check_flag(&flag, "CVodeSetSensParams", 1)) return(1);
printf("Sensitivity: YES ");
if(sensi_meth == CV_SIMULTANEOUS)
printf("( SIMULTANEOUS +");
else
if(sensi_meth == CV_STAGGERED) printf("( STAGGERED +");
else printf("( STAGGERED1 +");
if(err_con) printf(" FULL ERROR CONTROL )");
else printf(" PARTIAL ERROR CONTROL )");
} else {
printf("Sensitivity: NO ");
}
/* In loop over output points, call CVode, print results, test for error */
printf("\n\n");
printf("===========================================");
printf("============================\n");
printf(" T Q H NST y1");
printf(" y2 y3 \n");
printf("===========================================");
printf("============================\n");
for (iout=1, tout=T1; iout <= NOUT; iout++, tout *= TMULT) {
flag = CVode(cvode_mem, tout, y, &t, CV_NORMAL);
if (check_flag(&flag, "CVode", 1)) break;
PrintOutput(cvode_mem, t, y);
/* Call CVodeGetSens to get the sensitivity solution vector after a
successful return from CVode */
if (sensi) {
flag = CVodeGetSens(cvode_mem, &t, yS);
if (check_flag(&flag, "CVodeGetSens", 1)) break;
PrintOutputS(yS);
}
printf("-----------------------------------------");
printf("------------------------------\n");
}
/* Print final statistics */
PrintFinalStats(cvode_mem, sensi);
/* Free memory */
N_VDestroy_Serial(y); /* Free y vector */
if (sensi) {
N_VDestroyVectorArray_Serial(yS, NS); /* Free yS vector */
}
free(data); /* Free user data */
CVodeFree(&cvode_mem); /* Free CVODES memory */
return(0);
}
int main(int argc, char *argv[])
{
void *cvode_mem;
UserData data;
realtype t, tout;
N_Vector y;
int iout, flag;
realtype pbar[NS];
int is;
N_Vector *yS;
booleantype sensi, err_con;
int sensi_meth;
cvode_mem = NULL;
data = NULL;
y = NULL;
yS = NULL;
/* Process arguments */
ProcessArgs(argc, argv, &sensi, &sensi_meth, &err_con);
/* User data structure */
data = (UserData) malloc(sizeof *data);
if (check_flag((void *)data, "malloc", 2)) return(1);
data->p[0] = RCONST(0.04);
data->p[1] = RCONST(1.0e4);
data->p[2] = RCONST(3.0e7);
/* Initial conditions */
y = N_VNew_Serial(NEQ);
if (check_flag((void *)y, "N_VNew_Serial", 0)) return(1);
Ith(y,1) = Y1;
Ith(y,2) = Y2;
Ith(y,3) = Y3;
/* Create CVODES object */
cvode_mem = CVodeCreate(CV_BDF, CV_NEWTON);
if (check_flag((void *)cvode_mem, "CVodeCreate", 0)) return(1);
/* Allocate space for CVODES */
flag = CVodeMalloc(cvode_mem, f, T0, y, CV_WF, 0.0, NULL);
if (check_flag(&flag, "CVodeMalloc", 1)) return(1);
/* Use private function to compute error weights */
flag = CVodeSetEwtFn(cvode_mem, ewt, NULL);
if (check_flag(&flag, "CVodeSetEwtFn", 1)) return(1);
/* Attach user data */
flag = CVodeSetFdata(cvode_mem, data);
if (check_flag(&flag, "CVodeSetFdata", 1)) return(1);
/* Attach linear solver */
flag = CVDense(cvode_mem, NEQ);
if (check_flag(&flag, "CVDense", 1)) return(1);
flag = CVDenseSetJacFn(cvode_mem, Jac, data);
if (check_flag(&flag, "CVDenseSetJacFn", 1)) return(1);
printf("\n3-species chemical kinetics problem\n");
/* Sensitivity-related settings */
if (sensi) {
pbar[0] = data->p[0];
pbar[1] = data->p[1];
pbar[2] = data->p[2];
yS = N_VNewVectorArray_Serial(NS, NEQ);
if (check_flag((void *)yS, "N_VNewVectorArray_Serial", 0)) return(1);
for (is=0;is<NS;is++) N_VConst(ZERO, yS[is]);
flag = CVodeSensMalloc(cvode_mem, NS, sensi_meth, yS);
if(check_flag(&flag, "CVodeSensMalloc", 1)) return(1);
flag = CVodeSetSensRhs1Fn(cvode_mem, fS);
if (check_flag(&flag, "CVodeSetSensRhs1Fn", 1)) return(1);
flag = CVodeSetSensErrCon(cvode_mem, err_con);
if (check_flag(&flag, "CVodeSetSensFdata", 1)) return(1);
flag = CVodeSetSensFdata(cvode_mem, data);
if (check_flag(&flag, "CVodeSetSensFdata", 1)) return(1);
flag = CVodeSetSensParams(cvode_mem, NULL, pbar, NULL);
if (check_flag(&flag, "CVodeSetSensParams", 1)) return(1);
printf("Sensitivity: YES ");
if(sensi_meth == CV_SIMULTANEOUS)
printf("( SIMULTANEOUS +");
else
if(sensi_meth == CV_STAGGERED) printf("( STAGGERED +");
else printf("( STAGGERED1 +");
if(err_con) printf(" FULL ERROR CONTROL )");
else printf(" PARTIAL ERROR CONTROL )");
} else {
printf("Sensitivity: NO ");
}
/* In loop over output points, call CVode, print results, test for error */
printf("\n\n");
printf("===================================================");
printf("============================\n");
printf(" T Q H NST y1");
printf(" y2 y3 \n");
printf("===================================================");
printf("============================\n");
for (iout=1, tout=T1; iout <= NOUT; iout++, tout *= TMULT) {
flag = CVode(cvode_mem, tout, y, &t, CV_NORMAL);
if (check_flag(&flag, "CVode", 1)) break;
PrintOutput(cvode_mem, t, y);
if (sensi) {
flag = CVodeGetSens(cvode_mem, t, yS);
if (check_flag(&flag, "CVodeGetSens", 1)) break;
PrintOutputS(yS);
}
printf("-------------------------------------------------");
printf("------------------------------\n");
}
/* Print final statistics */
PrintFinalStats(cvode_mem, sensi);
/* Free memory */
N_VDestroy_Serial(y); /* Free y vector */
if (sensi) {
N_VDestroyVectorArray_Serial(yS, NS); /* Free yS vector */
}
free(data); /* Free user data */
CVodeFree(cvode_mem); /* Free CVODES memory */
return(0);
}
int main(int argc, char *argv[])
{
void *cvode_mem;
UserData data;
realtype abstol, reltol, t, tout;
N_Vector y;
int iout, flag;
realtype *pbar;
int is, *plist;
N_Vector *uS;
booleantype sensi, err_con;
int sensi_meth;
pbar = NULL;
plist = NULL;
uS = NULL;
y = NULL;
data = NULL;
cvode_mem = NULL;
/* Process arguments */
ProcessArgs(argc, argv, &sensi, &sensi_meth, &err_con);
/* Problem parameters */
data = AllocUserData();
if(check_flag((void *)data, "AllocUserData", 2)) return(1);
InitUserData(data);
/* Initial states */
y = N_VNew_Serial(NEQ);
if(check_flag((void *)y, "N_VNew_Serial", 0)) return(1);
SetInitialProfiles(y, data->dx, data->dz);
/* Tolerances */
abstol=ATOL;
reltol=RTOL;
/* Create CVODES object */
cvode_mem = CVodeCreate(CV_BDF, CV_NEWTON);
if(check_flag((void *)cvode_mem, "CVodeCreate", 0)) return(1);
flag = CVodeSetFdata(cvode_mem, data);
if(check_flag(&flag, "CVodeSetFdata", 1)) return(1);
flag = CVodeSetMaxNumSteps(cvode_mem, 2000);
if(check_flag(&flag, "CVodeSetMaxNumSteps", 1)) return(1);
/* Allocate CVODES memory */
flag = CVodeMalloc(cvode_mem, f, T0, y, CV_SS, reltol, &abstol);
if(check_flag(&flag, "CVodeMalloc", 1)) return(1);
/* Attach CVSPGMR linear solver */
flag = CVSpgmr(cvode_mem, PREC_LEFT, 0);
if(check_flag(&flag, "CVSpgmr", 1)) return(1);
flag = CVSpilsSetPreconditioner(cvode_mem, Precond, PSolve, data);
if(check_flag(&flag, "CVSpilsSetPreconditioner", 1)) return(1);
printf("\n2-species diurnal advection-diffusion problem\n");
/* Forward sensitivity analysis */
if(sensi) {
plist = (int *) malloc(NS * sizeof(int));
if(check_flag((void *)plist, "malloc", 2)) return(1);
for(is=0; is<NS; is++) plist[is] = is;
pbar = (realtype *) malloc(NS * sizeof(realtype));
if(check_flag((void *)pbar, "malloc", 2)) return(1);
for(is=0; is<NS; is++) pbar[is] = data->p[plist[is]];
uS = N_VCloneVectorArray_Serial(NS, y);
if(check_flag((void *)uS, "N_VCloneVectorArray_Serial", 0)) return(1);
for(is=0;is<NS;is++)
N_VConst(ZERO,uS[is]);
flag = CVodeSensMalloc(cvode_mem, NS, sensi_meth, uS);
if(check_flag(&flag, "CVodeSensMalloc", 1)) return(1);
flag = CVodeSetSensErrCon(cvode_mem, err_con);
if(check_flag(&flag, "CVodeSetSensErrCon", 1)) return(1);
flag = CVodeSetSensRho(cvode_mem, ZERO);
if(check_flag(&flag, "CVodeSetSensRho", 1)) return(1);
flag = CVodeSetSensParams(cvode_mem, data->p, pbar, plist);
if(check_flag(&flag, "CVodeSetSensParams", 1)) return(1);
printf("Sensitivity: YES ");
if(sensi_meth == CV_SIMULTANEOUS)
printf("( SIMULTANEOUS +");
else
if(sensi_meth == CV_STAGGERED) printf("( STAGGERED +");
else printf("( STAGGERED1 +");
if(err_con) printf(" FULL ERROR CONTROL )");
else printf(" PARTIAL ERROR CONTROL )");
} else {
printf("Sensitivity: NO ");
}
/* In loop over output points, call CVode, print results, test for error */
printf("\n\n");
printf("========================================================================\n");
printf(" T Q H NST Bottom left Top right \n");
printf("========================================================================\n");
for (iout=1, tout = TWOHR; iout <= NOUT; iout++, tout += TWOHR) {
flag = CVode(cvode_mem, tout, y, &t, CV_NORMAL);
if(check_flag(&flag, "CVode", 1)) break;
PrintOutput(cvode_mem, t, y);
if (sensi) {
flag = CVodeGetSens(cvode_mem, t, uS);
if(check_flag(&flag, "CVodeGetSens", 1)) break;
PrintOutputS(uS);
}
printf("------------------------------------------------------------------------\n");
}
/* Print final statistics */
PrintFinalStats(cvode_mem, sensi);
/* Free memory */
N_VDestroy_Serial(y);
if (sensi) {
N_VDestroyVectorArray_Serial(uS, NS);
free(pbar);
free(plist);
}
FreeUserData(data);
CVodeFree(&cvode_mem);
return(0);
}
int main(int argc, char *argv[])
{
SUNMatrix A;
SUNLinearSolver LS;
void *cvode_mem;
UserData data;
realtype t, tout;
N_Vector y, constraints;
int iout, retval;
realtype pbar[NS];
int is;
N_Vector *yS;
booleantype sensi, err_con;
int sensi_meth;
cvode_mem = NULL;
data = NULL;
y = NULL;
yS = NULL;
A = NULL;
LS = NULL;
constraints = NULL;
/* Process arguments */
ProcessArgs(argc, argv, &sensi, &sensi_meth, &err_con);
/* User data structure */
data = (UserData) malloc(sizeof *data);
if (check_retval((void *)data, "malloc", 2)) return(1);
data->p[0] = RCONST(0.04);
data->p[1] = RCONST(1.0e4);
data->p[2] = RCONST(3.0e7);
/* Initial conditions */
y = N_VNew_Serial(NEQ);
if (check_retval((void *)y, "N_VNew_Serial", 0)) return(1);
Ith(y,1) = Y1;
Ith(y,2) = Y2;
Ith(y,3) = Y3;
/* Set constraints to all 1's for nonnegative solution values. */
constraints = N_VNew_Serial(NEQ);
if(check_retval((void *)constraints, "N_VNew_Serial", 0)) return(1);
N_VConst(ONE, constraints);
/* Create CVODES object */
cvode_mem = CVodeCreate(CV_BDF);
if (check_retval((void *)cvode_mem, "CVodeCreate", 0)) return(1);
/* Allocate space for CVODES */
retval = CVodeInit(cvode_mem, f, T0, y);
if (check_retval(&retval, "CVodeInit", 1)) return(1);
/* Use private function to compute error weights */
retval = CVodeWFtolerances(cvode_mem, ewt);
if (check_retval(&retval, "CVodeSetEwtFn", 1)) return(1);
/* Attach user data */
retval = CVodeSetUserData(cvode_mem, data);
if (check_retval(&retval, "CVodeSetUserData", 1)) return(1);
/* Call CVodeSetConstraints to initialize constraints */
retval = CVodeSetConstraints(cvode_mem, constraints);
if(check_retval(&retval, "CVodeSetConstraints", 1)) return(1);
N_VDestroy(constraints);
/* Create dense SUNMatrix */
A = SUNDenseMatrix(NEQ, NEQ);
if (check_retval((void *)A, "SUNDenseMatrix", 0)) return(1);
/* Create dense SUNLinearSolver */
LS = SUNLinSol_Dense(y, A);
if (check_retval((void *)LS, "SUNLinSol_Dense", 0)) return(1);
/* Attach the matrix and linear solver */
retval = CVDlsSetLinearSolver(cvode_mem, LS, A);
if (check_retval(&retval, "CVDlsSetLinearSolver", 1)) return(1);
/* Set the user-supplied Jacobian routine Jac */
retval = CVDlsSetJacFn(cvode_mem, Jac);
if (check_retval(&retval, "CVDlsSetJacFn", 1)) return(1);
printf("\n3-species chemical kinetics problem\n");
/* Sensitivity-related settings */
if (sensi) {
/* Set parameter scaling factor */
pbar[0] = data->p[0];
pbar[1] = data->p[1];
pbar[2] = data->p[2];
/* Set sensitivity initial conditions */
yS = N_VCloneVectorArray(NS, y);
if (check_retval((void *)yS, "N_VCloneVectorArray", 0)) return(1);
for (is=0;is<NS;is++) N_VConst(ZERO, yS[is]);
/* Call CVodeSensInit1 to activate forward sensitivity computations
and allocate internal memory for COVEDS related to sensitivity
calculations. Computes the right-hand sides of the sensitivity
ODE, one at a time */
retval = CVodeSensInit1(cvode_mem, NS, sensi_meth, fS, yS);
if(check_retval(&retval, "CVodeSensInit", 1)) return(1);
/* Call CVodeSensEEtolerances to estimate tolerances for sensitivity
variables based on the rolerances supplied for states variables and
the scaling factor pbar */
retval = CVodeSensEEtolerances(cvode_mem);
if(check_retval(&retval, "CVodeSensEEtolerances", 1)) return(1);
/* Set sensitivity analysis optional inputs */
/* Call CVodeSetSensErrCon to specify the error control strategy for
sensitivity variables */
retval = CVodeSetSensErrCon(cvode_mem, err_con);
if (check_retval(&retval, "CVodeSetSensErrCon", 1)) return(1);
/* Call CVodeSetSensParams to specify problem parameter information for
sensitivity calculations */
retval = CVodeSetSensParams(cvode_mem, NULL, pbar, NULL);
if (check_retval(&retval, "CVodeSetSensParams", 1)) return(1);
printf("Sensitivity: YES ");
if(sensi_meth == CV_SIMULTANEOUS)
printf("( SIMULTANEOUS +");
else
if(sensi_meth == CV_STAGGERED) printf("( STAGGERED +");
else printf("( STAGGERED1 +");
if(err_con) printf(" FULL ERROR CONTROL )");
else printf(" PARTIAL ERROR CONTROL )");
} else {
printf("Sensitivity: NO ");
}
/* In loop over output points, call CVode, print results, test for error */
printf("\n\n");
printf("===========================================");
printf("============================\n");
printf(" T Q H NST y1");
printf(" y2 y3 \n");
printf("===========================================");
printf("============================\n");
for (iout=1, tout=T1; iout <= NOUT; iout++, tout *= TMULT) {
retval = CVode(cvode_mem, tout, y, &t, CV_NORMAL);
if (check_retval(&retval, "CVode", 1)) break;
PrintOutput(cvode_mem, t, y);
/* Call CVodeGetSens to get the sensitivity solution vector after a
successful return from CVode */
if (sensi) {
retval = CVodeGetSens(cvode_mem, &t, yS);
if (check_retval(&retval, "CVodeGetSens", 1)) break;
PrintOutputS(yS);
}
printf("-----------------------------------------");
printf("------------------------------\n");
}
/* Print final statistics */
PrintFinalStats(cvode_mem, sensi);
/* Free memory */
N_VDestroy(y); /* Free y vector */
if (sensi) {
N_VDestroyVectorArray(yS, NS); /* Free yS vector */
}
free(data); /* Free user data */
CVodeFree(&cvode_mem); /* Free CVODES memory */
SUNLinSolFree(LS); /* Free the linear solver memory */
SUNMatDestroy(A); /* Free the matrix memory */
return(0);
}
int main(int argc, char *argv[])
{
void *cvode_mem;
UserData data;
realtype dx, reltol, abstol, t, tout;
N_Vector u;
int iout, flag;
realtype *pbar;
int is, *plist;
N_Vector *uS;
booleantype sensi, err_con;
int sensi_meth;
cvode_mem = NULL;
data = NULL;
u = NULL;
pbar = NULL;
plist = NULL;
uS = NULL;
/* Process arguments */
ProcessArgs(argc, argv, &sensi, &sensi_meth, &err_con);
/* Set user data */
data = (UserData) malloc(sizeof *data); /* Allocate data memory */
if(check_flag((void *)data, "malloc", 2)) return(1);
data->p = (realtype *) malloc(NP * sizeof(realtype));
dx = data->dx = XMAX/((realtype)(MX+1));
data->p[0] = RCONST(1.0);
data->p[1] = RCONST(0.5);
/* Allocate and set initial states */
u = N_VNew_Serial(NEQ);
if(check_flag((void *)u, "N_VNew_Serial", 0)) return(1);
SetIC(u, dx);
/* Set integration tolerances */
reltol = ZERO;
abstol = ATOL;
/* Create CVODES object */
cvode_mem = CVodeCreate(CV_ADAMS, CV_FUNCTIONAL);
if(check_flag((void *)cvode_mem, "CVodeCreate", 0)) return(1);
flag = CVodeSetUserData(cvode_mem, data);
if(check_flag(&flag, "CVodeSetUserData", 1)) return(1);
/* Allocate CVODES memory */
flag = CVodeInit(cvode_mem, f, T0, u);
if(check_flag(&flag, "CVodeInit", 1)) return(1);
flag = CVodeSStolerances(cvode_mem, reltol, abstol);
if(check_flag(&flag, "CVodeSStolerances", 1)) return(1);
printf("\n1-D advection-diffusion equation, mesh size =%3d\n", MX);
/* Sensitivity-related settings */
if(sensi) {
plist = (int *) malloc(NS * sizeof(int));
if(check_flag((void *)plist, "malloc", 2)) return(1);
for(is=0; is<NS; is++) plist[is] = is;
pbar = (realtype *) malloc(NS * sizeof(realtype));
if(check_flag((void *)pbar, "malloc", 2)) return(1);
for(is=0; is<NS; is++) pbar[is] = data->p[plist[is]];
uS = N_VCloneVectorArray_Serial(NS, u);
if(check_flag((void *)uS, "N_VCloneVectorArray_Serial", 0)) return(1);
for(is=0;is<NS;is++)
N_VConst(ZERO, uS[is]);
flag = CVodeSensInit1(cvode_mem, NS, sensi_meth, NULL, uS);
if(check_flag(&flag, "CVodeSensInit1", 1)) return(1);
flag = CVodeSensEEtolerances(cvode_mem);
if(check_flag(&flag, "CVodeSensEEtolerances", 1)) return(1);
flag = CVodeSetSensErrCon(cvode_mem, err_con);
if(check_flag(&flag, "CVodeSetSensErrCon", 1)) return(1);
flag = CVodeSetSensDQMethod(cvode_mem, CV_CENTERED, ZERO);
if(check_flag(&flag, "CVodeSetSensDQMethod", 1)) return(1);
flag = CVodeSetSensParams(cvode_mem, data->p, pbar, plist);
if(check_flag(&flag, "CVodeSetSensParams", 1)) return(1);
printf("Sensitivity: YES ");
if(sensi_meth == CV_SIMULTANEOUS)
printf("( SIMULTANEOUS +");
else
if(sensi_meth == CV_STAGGERED) printf("( STAGGERED +");
else printf("( STAGGERED1 +");
if(err_con) printf(" FULL ERROR CONTROL )");
else printf(" PARTIAL ERROR CONTROL )");
} else {
printf("Sensitivity: NO ");
}
/* In loop over output points, call CVode, print results, test for error */
printf("\n\n");
printf("============================================================\n");
printf(" T Q H NST Max norm \n");
printf("============================================================\n");
for (iout=1, tout=T1; iout <= NOUT; iout++, tout += DTOUT) {
flag = CVode(cvode_mem, tout, u, &t, CV_NORMAL);
if(check_flag(&flag, "CVode", 1)) break;
PrintOutput(cvode_mem, t, u);
if (sensi) {
flag = CVodeGetSens(cvode_mem, &t, uS);
if(check_flag(&flag, "CVodeGetSens", 1)) break;
PrintOutputS(uS);
}
printf("------------------------------------------------------------\n");
}
/* Print final statistics */
PrintFinalStats(cvode_mem, sensi);
/* Free memory */
N_VDestroy_Serial(u);
if (sensi) {
N_VDestroyVectorArray_Serial(uS, NS);
free(plist);
free(pbar);
}
free(data);
CVodeFree(&cvode_mem);
return(0);
}
int main(int argc, char *argv[])
{
realtype dx, reltol, abstol, t, tout;
N_Vector u;
UserData data;
void *cvode_mem;
int iout, flag, my_pe, npes;
long int local_N, nperpe, nrem, my_base;
realtype *pbar;
int is, *plist;
N_Vector *uS;
booleantype sensi, err_con;
int sensi_meth;
MPI_Comm comm;
u = NULL;
data = NULL;
cvode_mem = NULL;
pbar = NULL;
plist = NULL;
uS = NULL;
/* Get processor number, total number of pe's, and my_pe. */
MPI_Init(&argc, &argv);
comm = MPI_COMM_WORLD;
MPI_Comm_size(comm, &npes);
MPI_Comm_rank(comm, &my_pe);
/* Process arguments */
ProcessArgs(argc, argv, my_pe, &sensi, &sensi_meth, &err_con);
/* Set local vector length. */
nperpe = NEQ/npes;
nrem = NEQ - npes*nperpe;
local_N = (my_pe < nrem) ? nperpe+1 : nperpe;
my_base = (my_pe < nrem) ? my_pe*local_N : my_pe*nperpe + nrem;
/* USER DATA STRUCTURE */
data = (UserData) malloc(sizeof *data); /* Allocate data memory */
data->p = NULL;
if(check_flag((void *)data, "malloc", 2, my_pe)) MPI_Abort(comm, 1);
data->comm = comm;
data->npes = npes;
data->my_pe = my_pe;
data->p = (realtype *) malloc(NP * sizeof(realtype));
if(check_flag((void *)data->p, "malloc", 2, my_pe)) MPI_Abort(comm, 1);
dx = data->dx = XMAX/((realtype)(MX+1));
data->p[0] = RCONST(1.0);
data->p[1] = RCONST(0.5);
/* INITIAL STATES */
u = N_VNew_Parallel(comm, local_N, NEQ); /* Allocate u vector */
if(check_flag((void *)u, "N_VNew_Parallel", 0, my_pe)) MPI_Abort(comm, 1);
SetIC(u, dx, local_N, my_base); /* Initialize u vector */
/* TOLERANCES */
reltol = ZERO; /* Set the tolerances */
abstol = ATOL;
/* CVODE_CREATE & CVODE_MALLOC */
cvode_mem = CVodeCreate(CV_ADAMS, CV_FUNCTIONAL);
if(check_flag((void *)cvode_mem, "CVodeCreate", 0, my_pe)) MPI_Abort(comm, 1);
flag = CVodeSetUserData(cvode_mem, data);
if(check_flag(&flag, "CVodeSetUserData", 1, my_pe)) MPI_Abort(comm, 1);
flag = CVodeInit(cvode_mem, f, T0, u);
if(check_flag(&flag, "CVodeInit", 1, my_pe)) MPI_Abort(comm, 1);
flag = CVodeSStolerances(cvode_mem, reltol, abstol);
if(check_flag(&flag, "CVodeSStolerances", 1, my_pe)) MPI_Abort(comm, 1);
if (my_pe == 0) {
printf("\n1-D advection-diffusion equation, mesh size =%3d \n", MX);
printf("\nNumber of PEs = %3d \n",npes);
}
if(sensi) {
plist = (int *) malloc(NS * sizeof(int));
if(check_flag((void *)plist, "malloc", 2, my_pe)) MPI_Abort(comm, 1);
for(is=0; is<NS; is++)
plist[is] = is; /* sensitivity w.r.t. i-th parameter */
pbar = (realtype *) malloc(NS * sizeof(realtype));
if(check_flag((void *)pbar, "malloc", 2, my_pe)) MPI_Abort(comm, 1);
for(is=0; is<NS; is++) pbar[is] = data->p[plist[is]];
uS = N_VCloneVectorArray_Parallel(NS, u);
if(check_flag((void *)uS, "N_VCloneVectorArray_Parallel", 0, my_pe))
MPI_Abort(comm, 1);
for(is=0;is<NS;is++)
N_VConst(ZERO,uS[is]);
flag = CVodeSensInit1(cvode_mem, NS, sensi_meth, NULL, uS);
if(check_flag(&flag, "CVodeSensInit1", 1, my_pe)) MPI_Abort(comm, 1);
flag = CVodeSensEEtolerances(cvode_mem);
if(check_flag(&flag, "CVodeSensEEtolerances", 1, my_pe)) MPI_Abort(comm, 1);
flag = CVodeSetSensErrCon(cvode_mem, err_con);
if(check_flag(&flag, "CVodeSetSensErrCon", 1, my_pe)) MPI_Abort(comm, 1);
flag = CVodeSetSensDQMethod(cvode_mem, CV_CENTERED, ZERO);
if(check_flag(&flag, "CVodeSetSensDQMethod", 1, my_pe)) MPI_Abort(comm, 1);
flag = CVodeSetSensParams(cvode_mem, data->p, pbar, plist);
if(check_flag(&flag, "CVodeSetSensParams", 1, my_pe)) MPI_Abort(comm, 1);
if(my_pe == 0) {
printf("Sensitivity: YES ");
if(sensi_meth == CV_SIMULTANEOUS)
printf("( SIMULTANEOUS +");
else
if(sensi_meth == CV_STAGGERED) printf("( STAGGERED +");
else printf("( STAGGERED1 +");
if(err_con) printf(" FULL ERROR CONTROL )");
else printf(" PARTIAL ERROR CONTROL )");
}
} else {
if(my_pe == 0) printf("Sensitivity: NO ");
}
/* In loop over output points, call CVode, print results, test for error */
if(my_pe == 0) {
printf("\n\n");
printf("============================================================\n");
printf(" T Q H NST Max norm \n");
printf("============================================================\n");
}
for (iout=1, tout=T1; iout <= NOUT; iout++, tout += DTOUT) {
flag = CVode(cvode_mem, tout, u, &t, CV_NORMAL);
if(check_flag(&flag, "CVode", 1, my_pe)) break;
PrintOutput(cvode_mem, my_pe, t, u);
if (sensi) {
flag = CVodeGetSens(cvode_mem, &t, uS);
if(check_flag(&flag, "CVodeGetSens", 1, my_pe)) break;
PrintOutputS(my_pe, uS);
}
if (my_pe == 0)
printf("------------------------------------------------------------\n");
}
/* Print final statistics */
if (my_pe == 0)
PrintFinalStats(cvode_mem, sensi);
/* Free memory */
N_VDestroy(u); /* Free the u vector */
if (sensi)
N_VDestroyVectorArray(uS, NS); /* Free the uS vectors */
free(data->p); /* Free the p vector */
free(data); /* Free block of UserData */
CVodeFree(&cvode_mem); /* Free the CVODES problem memory */
free(pbar);
if(sensi) free(plist);
MPI_Finalize();
return(0);
}
