int main(int argc,char **argv)
{
PetscErrorCode ierr;
PetscInt time_steps = 100,steps;
PetscMPIInt size;
Vec global;
PetscReal dt,ftime;
TS ts;
MatStructure A_structure;
Mat A = 0;
ierr = PetscInitialize(&argc,&argv,(char*)0,help);CHKERRQ(ierr);
ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
ierr = PetscOptionsGetInt(NULL,"-time",&time_steps,NULL);CHKERRQ(ierr);
/* set initial conditions */
ierr = VecCreate(PETSC_COMM_WORLD,&global);CHKERRQ(ierr);
ierr = VecSetSizes(global,PETSC_DECIDE,3);CHKERRQ(ierr);
ierr = VecSetFromOptions(global);CHKERRQ(ierr);
ierr = Initial(global,NULL);CHKERRQ(ierr);
/* make timestep context */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetProblemType(ts,TS_NONLINEAR);CHKERRQ(ierr);
ierr = TSMonitorSet(ts,Monitor,NULL,NULL);CHKERRQ(ierr);
dt = 0.1;
/*
The user provides the RHS and Jacobian
*/
ierr = TSSetRHSFunction(ts,NULL,RHSFunction,NULL);CHKERRQ(ierr);
ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,3,3);CHKERRQ(ierr);
ierr = MatSetFromOptions(A);CHKERRQ(ierr);
ierr = MatSetUp(A);CHKERRQ(ierr);
ierr = RHSJacobian(ts,0.0,global,&A,&A,&A_structure,NULL);CHKERRQ(ierr);
ierr = TSSetRHSJacobian(ts,A,A,RHSJacobian,NULL);CHKERRQ(ierr);
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
ierr = TSSetInitialTimeStep(ts,0.0,dt);CHKERRQ(ierr);
ierr = TSSetDuration(ts,time_steps,1);CHKERRQ(ierr);
ierr = TSSetSolution(ts,global);CHKERRQ(ierr);
ierr = TSSolve(ts,global);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts,&steps);CHKERRQ(ierr);
/* free the memories */
ierr = TSDestroy(&ts);CHKERRQ(ierr);
ierr = VecDestroy(&global);CHKERRQ(ierr);
ierr = MatDestroy(&A);CHKERRQ(ierr);
ierr = PetscFinalize();
return 0;
}
/*
Defines the ODE passed to the ODE solver
*/
static PetscErrorCode IFunction(TS ts,PetscReal t,Vec U,Vec Udot,Vec F,AppCtx *user)
{
PetscErrorCode ierr;
PetscScalar *u,*udot,*f,wm,Pw,*wd;
PetscInt stepnum;
PetscFunctionBegin;
ierr = TSGetTimeStepNumber(ts,&stepnum);CHKERRQ(ierr);
/* The next three lines allow us to access the entries of the vectors directly */
ierr = VecGetArray(U,&u);CHKERRQ(ierr);
ierr = VecGetArray(Udot,&udot);CHKERRQ(ierr);
ierr = VecGetArray(F,&f);CHKERRQ(ierr);
ierr = VecGetArray(user->wind_data,&wd);CHKERRQ(ierr);
f[0] = user->Tw*udot[0] - wd[stepnum] + u[0];
wm = 1-u[1];
ierr = GetWindPower(wm,u[0],&Pw,user);CHKERRQ(ierr);
f[1] = 2.0*(user->Ht+user->Hm)*udot[1] - Pw/wm + user->Te;
ierr = VecRestoreArray(user->wind_data,&wd);CHKERRQ(ierr);
ierr = VecRestoreArray(U,&u);CHKERRQ(ierr);
ierr = VecRestoreArray(Udot,&udot);CHKERRQ(ierr);
ierr = VecRestoreArray(F,&f);CHKERRQ(ierr);
PetscFunctionReturn(0);
}
static PetscErrorCode _preStage(TS ts, PetscReal stage_time) {
PetscTimeStepper *ths;
PetscErrorCode ierr;
PetscReal stepsize;
int step;
ierr = TSGetApplicationContext(ts,&ths);CHKERRQ(ierr);
ierr = TSGetTimeStep(ts,&stepsize);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts,&step);CHKERRQ(ierr);
ths->preStage(stage_time,step+1,stepsize);
return 0;
}
PetscErrorCode Monitor(TS ts,PetscInt step,PetscReal time,Vec global,void *ctx)
{
VecScatter scatter;
IS from,to;
PetscInt i,n,*idx,nsteps,maxsteps;
Vec tmp_vec;
PetscErrorCode ierr;
PetscScalar *tmp;
PetscReal maxtime;
Data *data = (Data*)ctx;
PetscReal tfinal = data->tfinal;
PetscFunctionBeginUser;
if (time > tfinal) PetscFunctionReturn(0);
ierr = TSGetTimeStepNumber(ts,&nsteps);CHKERRQ(ierr);
/* display output at selected time steps */
ierr = TSGetDuration(ts, &maxsteps, &maxtime);CHKERRQ(ierr);
if (nsteps % 10 != 0 && time < maxtime) PetscFunctionReturn(0);
/* Get the size of the vector */
ierr = VecGetSize(global,&n);CHKERRQ(ierr);
/* Set the index sets */
ierr = PetscMalloc1(n,&idx);CHKERRQ(ierr);
for (i=0; i<n; i++) idx[i]=i;
/* Create local sequential vectors */
ierr = VecCreateSeq(PETSC_COMM_SELF,n,&tmp_vec);CHKERRQ(ierr);
/* Create scatter context */
ierr = ISCreateGeneral(PETSC_COMM_SELF,n,idx,PETSC_COPY_VALUES,&from);CHKERRQ(ierr);
ierr = ISCreateGeneral(PETSC_COMM_SELF,n,idx,PETSC_COPY_VALUES,&to);CHKERRQ(ierr);
ierr = VecScatterCreate(global,from,tmp_vec,to,&scatter);CHKERRQ(ierr);
ierr = VecScatterBegin(scatter,global,tmp_vec,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr);
ierr = VecScatterEnd(scatter,global,tmp_vec,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr);
ierr = VecGetArray(tmp_vec,&tmp);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"At t[%D] =%14.2e u= %14.2e at the center \n",nsteps,(double)time,(double)PetscRealPart(tmp[n/2]));CHKERRQ(ierr);
ierr = VecRestoreArray(tmp_vec,&tmp);CHKERRQ(ierr);
ierr = PetscFree(idx);CHKERRQ(ierr);
ierr = ISDestroy(&from);CHKERRQ(ierr);
ierr = ISDestroy(&to);CHKERRQ(ierr);
ierr = VecScatterDestroy(&scatter);CHKERRQ(ierr);
ierr = VecDestroy(&tmp_vec);CHKERRQ(ierr);
PetscFunctionReturn(0);
}
/*
Helper rutine to handle user postenvents and recording
*/
static PetscErrorCode TSPostEvent(TS ts,PetscReal t,Vec U)
{
PetscErrorCode ierr;
TSEvent event = ts->event;
PetscBool terminate = PETSC_FALSE;
PetscBool restart = PETSC_FALSE;
PetscInt i,ctr,stepnum;
PetscBool ts_terminate,ts_restart;
PetscBool forwardsolve = PETSC_TRUE; /* Flag indicating that TS is doing a forward solve */
PetscFunctionBegin;
if (event->postevent) {
PetscObjectState state_prev,state_post;
ierr = PetscObjectStateGet((PetscObject)U,&state_prev);CHKERRQ(ierr);
ierr = (*event->postevent)(ts,event->nevents_zero,event->events_zero,t,U,forwardsolve,event->ctx);CHKERRQ(ierr);
ierr = PetscObjectStateGet((PetscObject)U,&state_post);CHKERRQ(ierr);
if (state_prev != state_post) restart = PETSC_TRUE;
}
/* Handle termination events and step restart */
for (i=0; i<event->nevents_zero; i++) if (event->terminate[event->events_zero[i]]) terminate = PETSC_TRUE;
ierr = MPIU_Allreduce(&terminate,&ts_terminate,1,MPIU_BOOL,MPI_LOR,((PetscObject)ts)->comm);CHKERRQ(ierr);
if (ts_terminate) {ierr = TSSetConvergedReason(ts,TS_CONVERGED_EVENT);CHKERRQ(ierr);}
event->status = ts_terminate ? TSEVENT_NONE : TSEVENT_RESET_NEXTSTEP;
ierr = MPIU_Allreduce(&restart,&ts_restart,1,MPIU_BOOL,MPI_LOR,((PetscObject)ts)->comm);CHKERRQ(ierr);
if (ts_restart) ts->steprestart = PETSC_TRUE;
event->ptime_prev = t;
/* Reset event residual functions as states might get changed by the postevent callback */
if (event->postevent) {ierr = (*event->eventhandler)(ts,t,U,event->fvalue,event->ctx);CHKERRQ(ierr);}
/* Cache current event residual functions */
for (i=0; i < event->nevents; i++) event->fvalue_prev[i] = event->fvalue[i];
/* Record the event in the event recorder */
ierr = TSGetTimeStepNumber(ts,&stepnum);CHKERRQ(ierr);
ctr = event->recorder.ctr;
if (ctr == event->recsize) {
ierr = TSEventRecorderResize(event);CHKERRQ(ierr);
}
event->recorder.time[ctr] = t;
event->recorder.stepnum[ctr] = stepnum;
event->recorder.nevents[ctr] = event->nevents_zero;
for (i=0; i<event->nevents_zero; i++) event->recorder.eventidx[ctr][i] = event->events_zero[i];
event->recorder.ctr++;
PetscFunctionReturn(0);
}
static PetscErrorCode TSAdaptChoose_Basic(TSAdapt adapt,TS ts,PetscReal h,PetscInt *next_sc,PetscReal *next_h,PetscBool *accept,PetscReal *wlte)
{
TSAdapt_Basic *basic = (TSAdapt_Basic*)adapt->data;
PetscErrorCode ierr;
Vec X,Y;
PetscReal enorm,hfac_lte,h_lte,safety;
PetscInt order,stepno;
PetscFunctionBegin;
ierr = TSGetTimeStepNumber(ts,&stepno);CHKERRQ(ierr);
ierr = TSGetSolution(ts,&X);CHKERRQ(ierr);
if (!basic->Y) {ierr = VecDuplicate(X,&basic->Y);CHKERRQ(ierr);}
Y = basic->Y;
order = adapt->candidates.order[0];
ierr = TSEvaluateStep(ts,order-1,Y,NULL);CHKERRQ(ierr);
safety = basic->safety;
ierr = TSErrorNormWRMS(ts,Y,&enorm);CHKERRQ(ierr);
if (enorm > 1.) {
if (!*accept) safety *= basic->reject_safety; /* The last attempt also failed, shorten more aggressively */
if (h < (1 + PETSC_SQRT_MACHINE_EPSILON)*adapt->dt_min) {
ierr = PetscInfo2(adapt,"Estimated scaled local truncation error %g, accepting because step size %g is at minimum\n",(double)enorm,(double)h);CHKERRQ(ierr);
*accept = PETSC_TRUE;
} else if (basic->always_accept) {
ierr = PetscInfo2(adapt,"Estimated scaled local truncation error %g, accepting step of size %g because always_accept is set\n",(double)enorm,(double)h);CHKERRQ(ierr);
*accept = PETSC_TRUE;
} else {
ierr = PetscInfo2(adapt,"Estimated scaled local truncation error %g, rejecting step of size %g\n",(double)enorm,(double)h);CHKERRQ(ierr);
*accept = PETSC_FALSE;
}
} else {
ierr = PetscInfo2(adapt,"Estimated scaled local truncation error %g, accepting step of size %g\n",(double)enorm,(double)h);CHKERRQ(ierr);
*accept = PETSC_TRUE;
}
/* The optimal new step based purely on local truncation error for this step. */
hfac_lte = safety * PetscRealPart(PetscPowScalar((PetscScalar)enorm,(PetscReal)(-1./order)));
h_lte = h * PetscClipInterval(hfac_lte,basic->clip[0],basic->clip[1]);
*next_sc = 0;
*next_h = PetscClipInterval(h_lte,adapt->dt_min,adapt->dt_max);
*wlte = enorm;
PetscFunctionReturn(0);
}
static PetscErrorCode TSAdaptChoose_CFL(TSAdapt adapt,TS ts,PetscReal h,PetscInt *next_sc,PetscReal *next_h,PetscBool *accept,PetscReal *wlte)
{
TSAdapt_CFL *cfl = (TSAdapt_CFL*)adapt->data;
PetscErrorCode ierr;
PetscReal hcfl,cfltime;
PetscInt stepno,ncandidates;
const PetscInt *order;
const PetscReal *ccfl;
PetscFunctionBegin;
ierr = TSGetTimeStepNumber(ts,&stepno);CHKERRQ(ierr);
ierr = TSGetCFLTime(ts,&cfltime);CHKERRQ(ierr);
ierr = TSAdaptCandidatesGet(adapt,&ncandidates,&order,NULL,&ccfl,NULL);CHKERRQ(ierr);
hcfl = cfl->safety * cfltime * ccfl[0];
if (hcfl < adapt->dt_min) {
ierr = PetscInfo4(adapt,"Cannot satisfy CFL constraint %g (with %g safety) at minimum time step %g with method coefficient %g, proceding anyway\n",(double)cfltime,(double)cfl->safety,(double)adapt->dt_min,(double)ccfl[0]);CHKERRQ(ierr);
}
if (h > cfltime * ccfl[0]) {
if (cfl->always_accept) {
ierr = PetscInfo3(adapt,"Step length %g with scheme of CFL coefficient %g did not satisfy user-provided CFL constraint %g, proceeding anyway\n",(double)h,(double)ccfl[0],(double)cfltime);CHKERRQ(ierr);
} else {
ierr = PetscInfo3(adapt,"Step length %g with scheme of CFL coefficient %g did not satisfy user-provided CFL constraint %g, step REJECTED\n",(double)h,(double)ccfl[0],(double)cfltime);CHKERRQ(ierr);
*next_sc = 0;
*next_h = PetscClipInterval(hcfl,adapt->dt_min,adapt->dt_max);
*accept = PETSC_FALSE;
}
}
*next_sc = 0;
*next_h = PetscClipInterval(hcfl,adapt->dt_min,adapt->dt_max);
*accept = PETSC_TRUE;
*wlte = -1; /* Weighted local truncation error was not evaluated */
PetscFunctionReturn(0);
}
int main(int argc,char **argv)
{
TS ts; /* nonlinear solver */
Vec x; /* solution, residual vectors */
Mat A; /* Jacobian matrix */
PetscInt steps;
PetscReal ftime = 0.5;
PetscBool monitor = PETSC_FALSE;
PetscScalar *x_ptr;
PetscMPIInt size;
struct _n_User user;
PetscErrorCode ierr;
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Initialize program
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
PetscInitialize(&argc,&argv,NULL,help);
ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
if (size != 1) SETERRQ(PETSC_COMM_SELF,1,"This is a uniprocessor example only!");
ierr = RegisterMyARK2();CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
user.next_output = 0.0;
ierr = PetscOptionsGetBool(NULL,"-monitor",&monitor,NULL);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create necessary matrix and vectors, solve same ODE on every process
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,2,2);CHKERRQ(ierr);
ierr = MatSetFromOptions(A);CHKERRQ(ierr);
ierr = MatSetUp(A);CHKERRQ(ierr);
ierr = MatCreateVecs(A,&x,NULL);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create timestepping solver context
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetType(ts,TSBEULER);CHKERRQ(ierr);
ierr = TSSetIFunction(ts,NULL,IFunction,&user);CHKERRQ(ierr);
ierr = TSSetIJacobian(ts,A,A,IJacobian,&user);CHKERRQ(ierr);
ierr = TSSetDuration(ts,PETSC_DEFAULT,ftime);CHKERRQ(ierr);
if (monitor) {
ierr = TSMonitorSet(ts,Monitor,&user,NULL);CHKERRQ(ierr);
}
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set initial conditions
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = VecGetArray(x,&x_ptr);CHKERRQ(ierr);
x_ptr[0] = -2; x_ptr[1] = -2.355301397608119909925287735864250951918;
ierr = VecRestoreArray(x,&x_ptr);CHKERRQ(ierr);
ierr = TSSetInitialTimeStep(ts,0.0,.001);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Solve nonlinear system
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSolve(ts,x);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts,&steps);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"steps %D, ftime %g\n",steps,(double)ftime);CHKERRQ(ierr);
ierr = VecView(x,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Free work space. All PETSc objects should be destroyed when they
are no longer needed.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatDestroy(&A);CHKERRQ(ierr);
ierr = VecDestroy(&x);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
ierr = PetscFinalize();
PetscFunctionReturn(0);
}
int main(int argc,char **argv)
{
TS ts; /* nonlinear solver */
Vec x,r; /* solution, residual vectors */
Mat J; /* Jacobian matrix */
PetscInt steps,Mx,maxsteps = 10000000;
PetscErrorCode ierr;
DM da;
MatFDColoring matfdcoloring;
ISColoring iscoloring;
PetscReal dt;
PetscReal vbounds[] = {-100000,100000,-1.1,1.1};
PetscBool wait;
Vec ul,uh;
SNES snes;
UserCtx ctx;
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Initialize program
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = PetscInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr;
ctx.kappa = 1.0;
ierr = PetscOptionsGetReal(NULL,"-kappa",&ctx.kappa,NULL);CHKERRQ(ierr);
ctx.cahnhillard = PETSC_FALSE;
ierr = PetscOptionsGetBool(NULL,NULL,"-cahn-hillard",&ctx.cahnhillard,NULL);CHKERRQ(ierr);
ierr = PetscViewerDrawSetBounds(PETSC_VIEWER_DRAW_(PETSC_COMM_WORLD),2,vbounds);CHKERRQ(ierr);
ierr = PetscViewerDrawResize(PETSC_VIEWER_DRAW_(PETSC_COMM_WORLD),600,600);CHKERRQ(ierr);
ctx.energy = 1;
/* ierr = PetscOptionsGetInt(NULL,NULL,"-energy",&ctx.energy,NULL);CHKERRQ(ierr); */
ierr = PetscOptionsGetInt(NULL,NULL,"-energy",&ctx.energy,NULL);CHKERRQ(ierr);
ctx.tol = 1.0e-8;
ierr = PetscOptionsGetReal(NULL,"-tol",&ctx.tol,NULL);CHKERRQ(ierr);
ctx.theta = .001;
ctx.theta_c = 1.0;
ierr = PetscOptionsGetReal(NULL,"-theta",&ctx.theta,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetReal(NULL,"-theta_c",&ctx.theta_c,NULL);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create distributed array (DMDA) to manage parallel grid and vectors
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = DMDACreate1d(PETSC_COMM_WORLD, DM_BOUNDARY_PERIODIC, -10,2,2,NULL,&da);CHKERRQ(ierr);
ierr = DMSetFromOptions(da);CHKERRQ(ierr);
ierr = DMSetUp(da);CHKERRQ(ierr);
ierr = DMDASetFieldName(da,0,"Biharmonic heat equation: w = -kappa*u_xx");CHKERRQ(ierr);
ierr = DMDASetFieldName(da,1,"Biharmonic heat equation: u");CHKERRQ(ierr);
ierr = DMDAGetInfo(da,0,&Mx,0,0,0,0,0,0,0,0,0,0,0);CHKERRQ(ierr);
dt = 1.0/(10.*ctx.kappa*Mx*Mx*Mx*Mx);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Extract global vectors from DMDA; then duplicate for remaining
vectors that are the same types
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = DMCreateGlobalVector(da,&x);CHKERRQ(ierr);
ierr = VecDuplicate(x,&r);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create timestepping solver context
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetDM(ts,da);CHKERRQ(ierr);
ierr = TSSetProblemType(ts,TS_NONLINEAR);CHKERRQ(ierr);
ierr = TSSetIFunction(ts,NULL,FormFunction,&ctx);CHKERRQ(ierr);
ierr = TSSetDuration(ts,maxsteps,.02);CHKERRQ(ierr);
ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_STEPOVER);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create matrix data structure; set Jacobian evaluation routine
< Set Jacobian matrix data structure and default Jacobian evaluation
routine. User can override with:
-snes_mf : matrix-free Newton-Krylov method with no preconditioning
(unless user explicitly sets preconditioner)
-snes_mf_operator : form preconditioning matrix as set by the user,
but use matrix-free approx for Jacobian-vector
products within Newton-Krylov method
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSGetSNES(ts,&snes);CHKERRQ(ierr);
ierr = DMCreateColoring(da,IS_COLORING_GLOBAL,&iscoloring);CHKERRQ(ierr);
ierr = DMSetMatType(da,MATAIJ);CHKERRQ(ierr);
ierr = DMCreateMatrix(da,&J);CHKERRQ(ierr);
ierr = MatFDColoringCreate(J,iscoloring,&matfdcoloring);CHKERRQ(ierr);
ierr = ISColoringDestroy(&iscoloring);CHKERRQ(ierr);
ierr = MatFDColoringSetFunction(matfdcoloring,(PetscErrorCode (*)(void))SNESTSFormFunction,ts);CHKERRQ(ierr);
ierr = MatFDColoringSetFromOptions(matfdcoloring);CHKERRQ(ierr);
ierr = MatFDColoringSetUp(J,iscoloring,matfdcoloring);CHKERRQ(ierr);
ierr = SNESSetJacobian(snes,J,J,SNESComputeJacobianDefaultColor,matfdcoloring);CHKERRQ(ierr);
{
ierr = VecDuplicate(x,&ul);CHKERRQ(ierr);
ierr = VecDuplicate(x,&uh);CHKERRQ(ierr);
ierr = VecStrideSet(ul,0,PETSC_NINFINITY);CHKERRQ(ierr);
ierr = VecStrideSet(ul,1,-1.0);CHKERRQ(ierr);
ierr = VecStrideSet(uh,0,PETSC_INFINITY);CHKERRQ(ierr);
ierr = VecStrideSet(uh,1,1.0);CHKERRQ(ierr);
ierr = TSVISetVariableBounds(ts,ul,uh);CHKERRQ(ierr);
}
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Customize nonlinear solver
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetType(ts,TSBEULER);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set initial conditions
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = FormInitialSolution(da,x,ctx.kappa);CHKERRQ(ierr);
ierr = TSSetInitialTimeStep(ts,0.0,dt);CHKERRQ(ierr);
ierr = TSSetSolution(ts,x);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Solve nonlinear system
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSolve(ts,x);CHKERRQ(ierr);
wait = PETSC_FALSE;
ierr = PetscOptionsGetBool(NULL,NULL,"-wait",&wait,NULL);CHKERRQ(ierr);
if (wait) {
ierr = PetscSleep(-1);CHKERRQ(ierr);
}
ierr = TSGetTimeStepNumber(ts,&steps);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Free work space. All PETSc objects should be destroyed when they
are no longer needed.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
{
ierr = VecDestroy(&ul);CHKERRQ(ierr);
ierr = VecDestroy(&uh);CHKERRQ(ierr);
}
ierr = MatDestroy(&J);CHKERRQ(ierr);
ierr = MatFDColoringDestroy(&matfdcoloring);CHKERRQ(ierr);
ierr = VecDestroy(&x);CHKERRQ(ierr);
ierr = VecDestroy(&r);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
ierr = DMDestroy(&da);CHKERRQ(ierr);
ierr = PetscFinalize();
PetscFunctionReturn(0);
}
int main(int argc,char **argv)
{
PetscFunctionList plist = NULL;
char pname[256];
TS ts; /* nonlinear solver */
Vec x,r; /* solution, residual vectors */
Mat A; /* Jacobian matrix */
Problem problem;
PetscBool use_monitor;
PetscInt steps,maxsteps = 1000,nonlinits,linits,snesfails,rejects;
PetscReal ftime;
MonitorCtx mon;
PetscErrorCode ierr;
PetscMPIInt size;
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Initialize program
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
PetscInitialize(&argc,&argv,(char*)0,help);
ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
if (size > 1) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP,"Only for sequential runs");
/* Register the available problems */
ierr = PetscFunctionListAdd(&plist,"rober",&RoberCreate);CHKERRQ(ierr);
ierr = PetscFunctionListAdd(&plist,"ce",&CECreate);CHKERRQ(ierr);
ierr = PetscFunctionListAdd(&plist,"orego",&OregoCreate);CHKERRQ(ierr);
ierr = PetscStrcpy(pname,"ce");CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"Timestepping benchmark options","");CHKERRQ(ierr);
{
ierr = PetscOptionsFList("-problem_type","Name of problem to run","",plist,pname,pname,sizeof(pname),NULL);CHKERRQ(ierr);
use_monitor = PETSC_FALSE;
ierr = PetscOptionsBool("-monitor_error","Display errors relative to exact solutions","",use_monitor,&use_monitor,NULL);CHKERRQ(ierr);
}
ierr = PetscOptionsEnd();CHKERRQ(ierr);
/* Create the new problem */
ierr = PetscNew(&problem);CHKERRQ(ierr);
problem->comm = MPI_COMM_WORLD;
{
PetscErrorCode (*pcreate)(Problem);
ierr = PetscFunctionListFind(plist,pname,&pcreate);CHKERRQ(ierr);
if (!pcreate) SETERRQ1(PETSC_COMM_SELF,1,"No problem '%s'",pname);
ierr = (*pcreate)(problem);CHKERRQ(ierr);
}
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create necessary matrix and vectors
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
ierr = MatSetSizes(A,problem->n,problem->n,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr);
ierr = MatSetFromOptions(A);CHKERRQ(ierr);
ierr = MatSetUp(A);CHKERRQ(ierr);
ierr = MatGetVecs(A,&x,NULL);CHKERRQ(ierr);
ierr = VecDuplicate(x,&r);CHKERRQ(ierr);
mon.comm = PETSC_COMM_WORLD;
mon.problem = problem;
ierr = VecDuplicate(x,&mon.x);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create timestepping solver context
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetProblemType(ts,TS_NONLINEAR);CHKERRQ(ierr);
ierr = TSSetType(ts,TSROSW);CHKERRQ(ierr); /* Rosenbrock-W */
ierr = TSSetIFunction(ts,NULL,problem->function,problem->data);CHKERRQ(ierr);
ierr = TSSetIJacobian(ts,A,A,problem->jacobian,problem->data);CHKERRQ(ierr);
ierr = TSSetDuration(ts,maxsteps,problem->final_time);CHKERRQ(ierr);
ierr = TSSetMaxStepRejections(ts,10);CHKERRQ(ierr);
ierr = TSSetMaxSNESFailures(ts,-1);CHKERRQ(ierr); /* unlimited */
if (use_monitor) {
ierr = TSMonitorSet(ts,&MonitorError,&mon,NULL);CHKERRQ(ierr);
}
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set initial conditions
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = (*problem->solution)(0,x,problem->data);CHKERRQ(ierr);
ierr = TSSetInitialTimeStep(ts,0.0,.001);CHKERRQ(ierr);
ierr = TSSetSolution(ts,x);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Solve nonlinear system
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSolve(ts,x);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts,&steps);CHKERRQ(ierr);
ierr = TSGetSNESFailures(ts,&snesfails);CHKERRQ(ierr);
ierr = TSGetStepRejections(ts,&rejects);CHKERRQ(ierr);
ierr = TSGetSNESIterations(ts,&nonlinits);CHKERRQ(ierr);
ierr = TSGetKSPIterations(ts,&linits);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"steps %D (%D rejected, %D SNES fails), ftime %G, nonlinits %D, linits %D\n",steps,rejects,snesfails,ftime,nonlinits,linits);CHKERRQ(ierr);
if (problem->hasexact) {
ierr = MonitorError(ts,steps,ftime,x,&mon);CHKERRQ(ierr);
}
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Free work space. All PETSc objects should be destroyed when they
are no longer needed.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatDestroy(&A);CHKERRQ(ierr);
ierr = VecDestroy(&x);CHKERRQ(ierr);
ierr = VecDestroy(&r);CHKERRQ(ierr);
ierr = VecDestroy(&mon.x);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
if (problem->destroy) {
ierr = (*problem->destroy)(problem);CHKERRQ(ierr);
}
ierr = PetscFree(problem);CHKERRQ(ierr);
ierr = PetscFunctionListDestroy(&plist);CHKERRQ(ierr);
ierr = PetscFinalize();
PetscFunctionReturn(0);
}
/*
FormFunction - Evaluates the function and corresponding gradient.
Input Parameters:
tao - the Tao context
X - the input vector
ptr - optional user-defined context, as set by TaoSetObjectiveAndGradientRoutine()
Output Parameters:
f - the newly evaluated function
*/
PetscErrorCode FormFunction(Tao tao,Vec P,PetscReal *f,void *ctx0)
{
AppCtx *ctx = (AppCtx*)ctx0;
TS ts;
Vec U; /* solution will be stored here */
Mat A; /* Jacobian matrix */
Mat Jacp; /* Jacobian matrix */
PetscErrorCode ierr;
PetscInt n = 2;
PetscReal ftime;
PetscInt steps;
PetscScalar *u;
PetscScalar *x_ptr,*y_ptr;
Vec lambda[1],q,mu[1];
ierr = VecGetArray(P,&x_ptr);CHKERRQ(ierr);
ctx->Pm = x_ptr[0];
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create necessary matrix and vectors
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
ierr = MatSetSizes(A,n,n,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr);
ierr = MatSetType(A,MATDENSE);CHKERRQ(ierr);
ierr = MatSetFromOptions(A);CHKERRQ(ierr);
ierr = MatSetUp(A);CHKERRQ(ierr);
ierr = MatCreateVecs(A,&U,NULL);CHKERRQ(ierr);
ierr = MatCreate(PETSC_COMM_WORLD,&Jacp);CHKERRQ(ierr);
ierr = MatSetSizes(Jacp,PETSC_DECIDE,PETSC_DECIDE,2,1);CHKERRQ(ierr);
ierr = MatSetFromOptions(Jacp);CHKERRQ(ierr);
ierr = MatSetUp(Jacp);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create timestepping solver context
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetProblemType(ts,TS_NONLINEAR);CHKERRQ(ierr);
ierr = TSSetType(ts,TSBEULER);CHKERRQ(ierr);
ierr = TSSetIFunction(ts,NULL,(TSIFunction) IFunction,ctx);CHKERRQ(ierr);
ierr = TSSetIJacobian(ts,A,A,(TSIJacobian)IJacobian,ctx);CHKERRQ(ierr);
ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_MATCHSTEP);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set initial conditions
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = VecGetArray(U,&u);CHKERRQ(ierr);
u[0] = PetscAsinScalar(ctx->Pm/ctx->Pmax);
u[1] = 1.0;
ierr = VecRestoreArray(U,&u);CHKERRQ(ierr);
ierr = TSSetSolution(ts,U);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Save trajectory of solution so that TSAdjointSolve() may be used
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetSaveTrajectory(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set solver options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetDuration(ts,PETSC_DEFAULT,10.0);CHKERRQ(ierr);
ierr = TSSetInitialTimeStep(ts,0.0,.01);CHKERRQ(ierr);
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Solve nonlinear system
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSolve(ts,U);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts,&steps);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Adjoint model starts here
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatCreateVecs(A,&lambda[0],NULL);CHKERRQ(ierr);
/* Set initial conditions for the adjoint integration */
ierr = VecGetArray(lambda[0],&y_ptr);CHKERRQ(ierr);
y_ptr[0] = 0.0; y_ptr[1] = 0.0;
ierr = VecRestoreArray(lambda[0],&y_ptr);CHKERRQ(ierr);
ierr = MatCreateVecs(Jacp,&mu[0],NULL);CHKERRQ(ierr);
ierr = VecGetArray(mu[0],&x_ptr);CHKERRQ(ierr);
x_ptr[0] = -1.0;
ierr = VecRestoreArray(mu[0],&x_ptr);CHKERRQ(ierr);
ierr = TSAdjointSetCostGradients(ts,1,lambda,mu);CHKERRQ(ierr);
ierr = TSAdjointSetRHSJacobian(ts,Jacp,RHSJacobianP,ctx);CHKERRQ(ierr);
ierr = TSAdjointSetCostIntegrand(ts,1,(PetscErrorCode (*)(TS,PetscReal,Vec,Vec,void*))CostIntegrand,
(PetscErrorCode (*)(TS,PetscReal,Vec,Vec*,void*))DRDYFunction,
(PetscErrorCode (*)(TS,PetscReal,Vec,Vec*,void*))DRDPFunction,ctx);CHKERRQ(ierr);
ierr = TSAdjointSolve(ts);CHKERRQ(ierr);
ierr = TSAdjointGetCostIntegral(ts,&q);CHKERRQ(ierr);
ierr = ComputeSensiP(lambda[0],mu[0],ctx);CHKERRQ(ierr);
ierr = VecGetArray(q,&x_ptr);CHKERRQ(ierr);
*f = -ctx->Pm + x_ptr[0];
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Free work space. All PETSc objects should be destroyed when they are no longer needed.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatDestroy(&A);CHKERRQ(ierr);
ierr = MatDestroy(&Jacp);CHKERRQ(ierr);
ierr = VecDestroy(&U);CHKERRQ(ierr);
ierr = VecDestroy(&lambda[0]);CHKERRQ(ierr);
ierr = VecDestroy(&mu[0]);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
return 0;
}
int main(int argc,char **argv)
{
TS ts; /* timestepping context */
Vec x,r; /* solution, residual vectors */
Mat J; /* Jacobian matrix */
AppCtx user; /* user-defined work context */
PetscInt its,N; /* iterations for convergence */
PetscErrorCode ierr;
PetscReal param_max = 6.81,param_min = 0.,dt;
PetscReal ftime;
PetscMPIInt size;
PetscInitialize(&argc,&argv,NULL,help);
ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);
if (size != 1) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP,"This is a uniprocessor example only");
user.mx = 4;
user.my = 4;
user.param = 6.0;
/*
Allow user to set the grid dimensions and nonlinearity parameter at run-time
*/
PetscOptionsGetInt(NULL,"-mx",&user.mx,NULL);
PetscOptionsGetInt(NULL,"-my",&user.my,NULL);
N = user.mx*user.my;
dt = .5/PetscMax(user.mx,user.my);
PetscOptionsGetReal(NULL,"-param",&user.param,NULL);
if (user.param >= param_max || user.param <= param_min) SETERRQ(PETSC_COMM_SELF,1,"Parameter is out of range");
/*
Create vectors to hold the solution and function value
*/
ierr = VecCreateSeq(PETSC_COMM_SELF,N,&x);CHKERRQ(ierr);
ierr = VecDuplicate(x,&r);CHKERRQ(ierr);
/*
Create matrix to hold Jacobian. Preallocate 5 nonzeros per row
in the sparse matrix. Note that this is not the optimal strategy; see
the Performance chapter of the users manual for information on
preallocating memory in sparse matrices.
*/
ierr = MatCreateSeqAIJ(PETSC_COMM_SELF,N,N,5,0,&J);CHKERRQ(ierr);
/*
Create timestepper context
*/
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetProblemType(ts,TS_NONLINEAR);CHKERRQ(ierr);
/*
Tell the timestepper context where to compute solutions
*/
ierr = TSSetSolution(ts,x);CHKERRQ(ierr);
/*
Provide the call-back for the nonlinear function we are
evaluating. Thus whenever the timestepping routines need the
function they will call this routine. Note the final argument
is the application context used by the call-back functions.
*/
ierr = TSSetRHSFunction(ts,NULL,FormFunction,&user);CHKERRQ(ierr);
/*
Set the Jacobian matrix and the function used to compute
Jacobians.
*/
ierr = TSSetRHSJacobian(ts,J,J,FormJacobian,&user);CHKERRQ(ierr);
/*
Form the initial guess for the problem
*/
ierr = FormInitialGuess(x,&user);
/*
This indicates that we are using pseudo timestepping to
find a steady state solution to the nonlinear problem.
*/
ierr = TSSetType(ts,TSPSEUDO);CHKERRQ(ierr);
/*
Set the initial time to start at (this is arbitrary for
steady state problems); and the initial timestep given above
*/
ierr = TSSetInitialTimeStep(ts,0.0,dt);CHKERRQ(ierr);
/*
Set a large number of timesteps and final duration time
to insure convergence to steady state.
*/
ierr = TSSetDuration(ts,1000,1.e12);
/*
Use the default strategy for increasing the timestep
*/
ierr = TSPseudoSetTimeStep(ts,TSPseudoTimeStepDefault,0);CHKERRQ(ierr);
/*
Set any additional options from the options database. This
includes all options for the nonlinear and linear solvers used
internally the the timestepping routines.
*/
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
ierr = TSSetUp(ts);CHKERRQ(ierr);
/*
Perform the solve. This is where the timestepping takes place.
*/
ierr = TSSolve(ts,x);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr);
/*
Get the number of steps
*/
ierr = TSGetTimeStepNumber(ts,&its);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"Number of pseudo timesteps = %D final time %4.2e\n",its,(double)ftime);CHKERRQ(ierr);
/*
Free the data structures constructed above
*/
ierr = VecDestroy(&x);CHKERRQ(ierr);
ierr = VecDestroy(&r);CHKERRQ(ierr);
ierr = MatDestroy(&J);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
ierr = PetscFinalize();
return 0;
}
/*
FormFunctionGradient - Evaluates the function and corresponding gradient.
Input Parameters:
tao - the Tao context
X - the input vector
ptr - optional user-defined context, as set by TaoSetObjectiveAndGradientRoutine()
Output Parameters:
f - the newly evaluated function
G - the newly evaluated gradient
*/
PetscErrorCode FormFunctionGradient(Tao tao,Vec IC,PetscReal *f,Vec G,void *ctx)
{
User user = (User)ctx;
TS ts;
PetscScalar *x_ptr,*y_ptr;
PetscErrorCode ierr;
PetscScalar *ic_ptr;
ierr = VecCopy(IC,user->x);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create timestepping solver context
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetType(ts,TSRK);CHKERRQ(ierr);
ierr = TSSetRHSFunction(ts,NULL,RHSFunction,user);CHKERRQ(ierr);
ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_MATCHSTEP);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set time
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetTime(ts,0.0);CHKERRQ(ierr);
ierr = TSSetInitialTimeStep(ts,0.0,.001);CHKERRQ(ierr);
ierr = TSSetDuration(ts,2000,0.5);CHKERRQ(ierr);
ierr = TSSetTolerances(ts,1e-7,NULL,1e-7,NULL);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Save trajectory of solution so that TSAdjointSolve() may be used
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetSaveTrajectory(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
ierr = TSSolve(ts,user->x);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts,&user->ftime);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts,&user->steps);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"mu %.6f, steps %D, ftime %g\n",(double)user->mu,user->steps,(double)user->ftime);CHKERRQ(ierr);
ierr = VecGetArray(IC,&ic_ptr);CHKERRQ(ierr);
ierr = VecGetArray(user->x,&x_ptr);CHKERRQ(ierr);
*f = (x_ptr[0]-user->x_ob[0])*(x_ptr[0]-user->x_ob[0])+(x_ptr[1]-user->x_ob[1])*(x_ptr[1]-user->x_ob[1]);
ierr = PetscPrintf(PETSC_COMM_WORLD,"Observed value y_ob=[%f; %f], ODE solution y=[%f;%f], Cost function f=%f\n",(double)user->x_ob[0],(double)user->x_ob[1],(double)x_ptr[0],(double)x_ptr[1],(double)(*f));CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Adjoint model starts here
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
/* Redet initial conditions for the adjoint integration */
ierr = VecGetArray(user->lambda[0],&y_ptr);CHKERRQ(ierr);
y_ptr[0] = 2.*(x_ptr[0]-user->x_ob[0]);
y_ptr[1] = 2.*(x_ptr[1]-user->x_ob[1]);
ierr = VecRestoreArray(user->lambda[0],&y_ptr);CHKERRQ(ierr);
ierr = TSSetCostGradients(ts,1,user->lambda,NULL);CHKERRQ(ierr);
/* Set RHS Jacobian for the adjoint integration */
ierr = TSSetRHSJacobian(ts,user->A,user->A,RHSJacobian,user);CHKERRQ(ierr);
ierr = TSAdjointSolve(ts);CHKERRQ(ierr);
ierr = VecCopy(user->lambda[0],G);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
PetscFunctionReturn(0);
}
int main(int argc, char **argv)
{
TS ts;
Vec x; /*solution vector*/
Mat A; /*Jacobian*/
PetscInt steps,maxsteps,mx;
PetscErrorCode ierr;
PetscReal ftime;
AppCtx user; /* user-defined work context */
PetscInitialize(&argc,&argv,NULL,help);
/* Initialize user application context */
ierr = PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"Allen-Cahn equation","");
user.param = 9e-4;
user.xleft = -1.;
user.xright = 2.;
user.mx = 400;
ierr = PetscOptionsReal("-eps","parameter","",user.param,&user.param,NULL);CHKERRQ(ierr);
ierr = PetscOptionsEnd();CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
/*
* ierr = PetscOptionsGetBool(NULL,"-monitor",&monitor,NULL);CHKERRQ(ierr);
*/
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create necessary matrix and vectors, solve same ODE on every process
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,user.mx,user.mx);CHKERRQ(ierr);
ierr = MatSetFromOptions(A);CHKERRQ(ierr);
ierr = MatSetUp(A);CHKERRQ(ierr);
ierr = MatGetVecs(A,&x,NULL);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create time stepping solver context
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetType(ts,TSEIMEX);CHKERRQ(ierr);
ierr = TSSetRHSFunction(ts,NULL,RHSFunction,&user);CHKERRQ(ierr);
ierr = TSSetIFunction(ts,NULL,FormIFunction,&user);CHKERRQ(ierr);
ierr = TSSetIJacobian(ts,A,A,FormIJacobian,&user);CHKERRQ(ierr);
ftime = 142;
maxsteps = 100000;
ierr = TSSetDuration(ts,maxsteps,ftime);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set initial conditions
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = FormInitialSolution(ts,x,&user);CHKERRQ(ierr);
ierr = TSSetSolution(ts,x);CHKERRQ(ierr);
ierr = VecGetSize(x,&mx);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Solve nonlinear system
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSolve(ts,x);CHKERRQ(ierr);
ierr = TSGetTime(ts,&ftime);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts,&steps);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"eps %g, steps %D, ftime %g\n",(double)user.param,steps,(double)ftime);CHKERRQ(ierr);
/* ierr = VecView(x,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);*/
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Free work space.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatDestroy(&A);CHKERRQ(ierr);
ierr = VecDestroy(&x);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
ierr = PetscFinalize();
PetscFunctionReturn(0);
}
int main(int argc,char **argv)
{
TS ts; /* ODE integrator */
Vec U; /* solution will be stored here */
Mat A; /* Jacobian matrix */
Mat Jacp; /* Jacobian matrix */
PetscErrorCode ierr;
PetscMPIInt size;
PetscInt n = 2;
AppCtx ctx;
PetscScalar *u;
PetscReal du[2] = {0.0,0.0};
PetscBool ensemble = PETSC_FALSE,flg1,flg2;
PetscReal ftime;
PetscInt steps;
PetscScalar *x_ptr,*y_ptr;
Vec lambda[1],q,mu[1];
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Initialize program
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = PetscInitialize(&argc,&argv,(char*)0,help);CHKERRQ(ierr);
ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
if (size > 1) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP,"Only for sequential runs");
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create necessary matrix and vectors
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
ierr = MatSetSizes(A,n,n,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr);
ierr = MatSetType(A,MATDENSE);CHKERRQ(ierr);
ierr = MatSetFromOptions(A);CHKERRQ(ierr);
ierr = MatSetUp(A);CHKERRQ(ierr);
ierr = MatCreateVecs(A,&U,NULL);CHKERRQ(ierr);
ierr = MatCreate(PETSC_COMM_WORLD,&Jacp);CHKERRQ(ierr);
ierr = MatSetSizes(Jacp,PETSC_DECIDE,PETSC_DECIDE,2,1);CHKERRQ(ierr);
ierr = MatSetFromOptions(Jacp);CHKERRQ(ierr);
ierr = MatSetUp(Jacp);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"Swing equation options","");CHKERRQ(ierr);
{
ctx.beta = 2;
ctx.c = 10000.0;
ctx.u_s = 1.0;
ctx.omega_s = 1.0;
ctx.omega_b = 120.0*PETSC_PI;
ctx.H = 5.0;
ierr = PetscOptionsScalar("-Inertia","","",ctx.H,&ctx.H,NULL);CHKERRQ(ierr);
ctx.D = 5.0;
ierr = PetscOptionsScalar("-D","","",ctx.D,&ctx.D,NULL);CHKERRQ(ierr);
ctx.E = 1.1378;
ctx.V = 1.0;
ctx.X = 0.545;
ctx.Pmax = ctx.E*ctx.V/ctx.X;;
ierr = PetscOptionsScalar("-Pmax","","",ctx.Pmax,&ctx.Pmax,NULL);CHKERRQ(ierr);
ctx.Pm = 1.1;
ierr = PetscOptionsScalar("-Pm","","",ctx.Pm,&ctx.Pm,NULL);CHKERRQ(ierr);
ctx.tf = 0.1;
ctx.tcl = 0.2;
ierr = PetscOptionsReal("-tf","Time to start fault","",ctx.tf,&ctx.tf,NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-tcl","Time to end fault","",ctx.tcl,&ctx.tcl,NULL);CHKERRQ(ierr);
ierr = PetscOptionsBool("-ensemble","Run ensemble of different initial conditions","",ensemble,&ensemble,NULL);CHKERRQ(ierr);
if (ensemble) {
ctx.tf = -1;
ctx.tcl = -1;
}
ierr = VecGetArray(U,&u);CHKERRQ(ierr);
u[0] = PetscAsinScalar(ctx.Pm/ctx.Pmax);
u[1] = 1.0;
ierr = PetscOptionsRealArray("-u","Initial solution","",u,&n,&flg1);CHKERRQ(ierr);
n = 2;
ierr = PetscOptionsRealArray("-du","Perturbation in initial solution","",du,&n,&flg2);CHKERRQ(ierr);
u[0] += du[0];
u[1] += du[1];
ierr = VecRestoreArray(U,&u);CHKERRQ(ierr);
if (flg1 || flg2) {
ctx.tf = -1;
ctx.tcl = -1;
}
}
ierr = PetscOptionsEnd();CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create timestepping solver context
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetProblemType(ts,TS_NONLINEAR);CHKERRQ(ierr);
ierr = TSSetType(ts,TSRK);CHKERRQ(ierr);
ierr = TSSetRHSFunction(ts,NULL,(TSRHSFunction)RHSFunction,&ctx);CHKERRQ(ierr);
ierr = TSSetRHSJacobian(ts,A,A,(TSRHSJacobian)RHSJacobian,&ctx);CHKERRQ(ierr);
ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_MATCHSTEP);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set initial conditions
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetSolution(ts,U);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Save trajectory of solution so that TSAdjointSolve() may be used
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetSaveTrajectory(ts);CHKERRQ(ierr);
ierr = MatCreateVecs(A,&lambda[0],NULL);CHKERRQ(ierr);
/* Set initial conditions for the adjoint integration */
ierr = VecGetArray(lambda[0],&y_ptr);CHKERRQ(ierr);
y_ptr[0] = 0.0; y_ptr[1] = 0.0;
ierr = VecRestoreArray(lambda[0],&y_ptr);CHKERRQ(ierr);
ierr = MatCreateVecs(Jacp,&mu[0],NULL);CHKERRQ(ierr);
ierr = VecGetArray(mu[0],&x_ptr);CHKERRQ(ierr);
x_ptr[0] = -1.0;
ierr = VecRestoreArray(mu[0],&x_ptr);CHKERRQ(ierr);
ierr = TSSetCostGradients(ts,1,lambda,mu);CHKERRQ(ierr);
ierr = TSSetCostIntegrand(ts,1,(PetscErrorCode (*)(TS,PetscReal,Vec,Vec,void*))CostIntegrand,
(PetscErrorCode (*)(TS,PetscReal,Vec,Vec*,void*))DRDYFunction,
(PetscErrorCode (*)(TS,PetscReal,Vec,Vec*,void*))DRDPFunction,PETSC_TRUE,&ctx);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set solver options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetDuration(ts,PETSC_DEFAULT,10.0);CHKERRQ(ierr);
ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_STEPOVER);CHKERRQ(ierr);
ierr = TSSetInitialTimeStep(ts,0.0,.01);CHKERRQ(ierr);
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Solve nonlinear system
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
if (ensemble) {
for (du[1] = -2.5; du[1] <= .01; du[1] += .1) {
ierr = VecGetArray(U,&u);CHKERRQ(ierr);
u[0] = PetscAsinScalar(ctx.Pm/ctx.Pmax);
u[1] = ctx.omega_s;
u[0] += du[0];
u[1] += du[1];
ierr = VecRestoreArray(U,&u);CHKERRQ(ierr);
ierr = TSSetInitialTimeStep(ts,0.0,.01);CHKERRQ(ierr);
ierr = TSSolve(ts,U);CHKERRQ(ierr);
}
} else {
ierr = TSSolve(ts,U);CHKERRQ(ierr);
}
ierr = VecView(U,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts,&steps);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Adjoint model starts here
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
/* Set initial conditions for the adjoint integration */
ierr = VecGetArray(lambda[0],&y_ptr);CHKERRQ(ierr);
y_ptr[0] = 0.0; y_ptr[1] = 0.0;
ierr = VecRestoreArray(lambda[0],&y_ptr);CHKERRQ(ierr);
ierr = VecGetArray(mu[0],&x_ptr);CHKERRQ(ierr);
x_ptr[0] = -1.0;
ierr = VecRestoreArray(mu[0],&x_ptr);CHKERRQ(ierr);
/* Set RHS JacobianP */
ierr = TSAdjointSetRHSJacobian(ts,Jacp,RHSJacobianP,&ctx);CHKERRQ(ierr);
ierr = TSAdjointSolve(ts);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"\n sensitivity wrt initial conditions: d[Psi(tf)]/d[phi0] d[Psi(tf)]/d[omega0]\n");CHKERRQ(ierr);
ierr = VecView(lambda[0],PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = VecView(mu[0],PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = TSGetCostIntegral(ts,&q);CHKERRQ(ierr);
ierr = VecView(q,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = VecGetArray(q,&x_ptr);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"\n cost function=%g\n",(double)(x_ptr[0]-ctx.Pm));CHKERRQ(ierr);
ierr = VecRestoreArray(q,&x_ptr);CHKERRQ(ierr);
ierr = ComputeSensiP(lambda[0],mu[0],&ctx);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Free work space. All PETSc objects should be destroyed when they are no longer needed.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatDestroy(&A);CHKERRQ(ierr);
ierr = MatDestroy(&Jacp);CHKERRQ(ierr);
ierr = VecDestroy(&U);CHKERRQ(ierr);
ierr = VecDestroy(&lambda[0]);CHKERRQ(ierr);
ierr = VecDestroy(&mu[0]);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
ierr = PetscFinalize();
return(0);
}
int main(int argc, char **argv)
{
MPI_Comm comm;
PetscMPIInt rank;
PetscErrorCode ierr;
User user;
PetscLogDouble v1, v2;
PetscInt nplot = 0;
char fileName[2048];
ierr = PetscInitialize(&argc, &argv, (char*) 0, help);CHKERRQ(ierr);
comm = PETSC_COMM_WORLD;
ierr = MPI_Comm_rank(comm, &rank);CHKERRQ(ierr);
ierr = PetscNew(&user);CHKERRQ(ierr);
ierr = PetscNew(&user->algebra);CHKERRQ(ierr);
ierr = PetscNew(&user->model);CHKERRQ(ierr);
ierr = PetscNew(&user->model->physics);CHKERRQ(ierr);
Algebra algebra = user->algebra;
ierr = LoadOptions(comm, user);CHKERRQ(ierr);
ierr = PetscTime(&v1);CHKERRQ(ierr);
ierr = CreateMesh(comm, user);CHKERRQ(ierr);
ierr = PetscTime(&v2);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,
"Read and Distribute mesh takes %f sec \n", v2 - v1);CHKERRQ(ierr);
ierr = SetUpLocalSpace(user);CHKERRQ(ierr); //Set up the dofs of each element
ierr = ConstructGeometryFVM(&user->facegeom, &user->cellgeom, user);CHKERRQ(ierr);
ierr = LimiterSetup(user);CHKERRQ(ierr);
if (user->TimeIntegralMethod == EXPLICITMETHOD) { // explicit method
if(user->myownexplicitmethod){// Using the fully explicit method based on my own routing
ierr = PetscPrintf(PETSC_COMM_WORLD,"Using the fully explicit method based on my own routing\n");CHKERRQ(ierr);
user->current_time = user->initial_time;
user->current_step = 1;
ierr = DMCreateGlobalVector(user->dm, &algebra->solution);CHKERRQ(ierr);
ierr = PetscObjectSetName((PetscObject) algebra->solution, "solution");CHKERRQ(ierr);
ierr = VecSet(algebra->solution, 0);CHKERRQ(ierr);
ierr = SetInitialCondition(user->dm, algebra->solution, user);CHKERRQ(ierr);
if(1){
PetscViewer viewer;
ierr = OutputVTK(user->dm, "intialcondition.vtk", &viewer);CHKERRQ(ierr);
ierr = VecView(algebra->solution, viewer);CHKERRQ(ierr);
ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"Outputing the initial condition intialcondition.vtk!!! \n");CHKERRQ(ierr);
}
ierr = VecDuplicate(algebra->solution, &algebra->fn);CHKERRQ(ierr);
ierr = VecDuplicate(algebra->solution, &algebra->oldsolution);CHKERRQ(ierr);
if(user->Explicit_RK2||user->Explicit_RK4){
ierr = PetscPrintf(PETSC_COMM_WORLD,"Use the second order Runge Kutta method \n");CHKERRQ(ierr);
}else{
ierr = PetscPrintf(PETSC_COMM_WORLD,"Use the first order forward Euler method \n");CHKERRQ(ierr);
}
nplot = 0; //the plot step
while(user->current_time < (user->final_time - 0.05 * user->dt)){
user->current_time = user->current_time + user->dt;
ierr = FormTimeStepFunction(user, algebra, algebra->solution, algebra->fn);CHKERRQ(ierr);
if(0){
PetscViewer viewer;
ierr = OutputVTK(user->dm, "function.vtk", &viewer);CHKERRQ(ierr);
ierr = VecView(algebra->fn, viewer);CHKERRQ(ierr);
ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
}
if(user->Explicit_RK2){
/*
U^n_1 = U^n + 0.5*dt*f(U^n)
U^{n+1} = U^n + dt*f(U^n_1)
*/
ierr = VecCopy(algebra->solution, algebra->oldsolution);CHKERRQ(ierr);
//note that algebra->oldsolution and algebra->solution are both U^n
ierr = VecAXPY(algebra->solution, 0.5*user->dt, algebra->fn);CHKERRQ(ierr);
//U^n_1 = U^n + 0.5*dt*f(U^n), now algebra->solution is U^n_1, and algebra->fn is f(U^n)
ierr = FormTimeStepFunction(user, algebra, algebra->solution, algebra->fn);CHKERRQ(ierr);
//algebra->fn is f(U^n_1)
// reset the algebra->solution to U^n
ierr = VecCopy(algebra->oldsolution, algebra->solution);CHKERRQ(ierr);
ierr = VecAXPY(algebra->solution, user->dt, algebra->fn);CHKERRQ(ierr);
// now algebra->solution is U^{n+1} = U^n + dt*f(U^n_1)
}else if(user->Explicit_RK4){
/* refer to https://en.wikipedia.org/wiki/Runge%E2%80%93Kutta_methods
k_1 = f(U^n)
U^n_1 = U^n + 0.5*dt*k_1
k_2 = f(U^n_1)
U^n_2 = U^n + 0.5*dt*k_2
k_3 = f(U^n_2)
U^n_3 = U^n + 0.5*dt*k_3
k_4 = f(U^n_3)
U^{n+1} = U^n + dt/6*(k_1 + 2*k_2 + 2*k_3 + k_4)
*/
Vec VecTemp; // store the U^n_1
Vec k1, k2, k3, k4;
ierr = VecDuplicate(algebra->solution, &k1);CHKERRQ(ierr);
ierr = VecDuplicate(algebra->solution, &k2);CHKERRQ(ierr);
ierr = VecDuplicate(algebra->solution, &k3);CHKERRQ(ierr);
ierr = VecDuplicate(algebra->solution, &k4);CHKERRQ(ierr);
ierr = VecCopy(algebra->solution, algebra->oldsolution);CHKERRQ(ierr);
ierr = VecCopy(algebra->fn, k1);CHKERRQ(ierr);
//note that algebra->oldsolution and algebra->solution are both U^n
ierr = VecAXPY(algebra->solution, 0.5*user->dt, k1);CHKERRQ(ierr);
//U^n_1 = U^n + 0.5*dt*k1, now algebra->solution is U^n_1, and algebra->fn is f(U^n)
ierr = FormTimeStepFunction(user, algebra, algebra->solution, algebra->fn);CHKERRQ(ierr);
//algebra->fn is f(U^n_1)
ierr = VecCopy(algebra->fn, k2);CHKERRQ(ierr);
// reset the algebra->solution to U^n
ierr = VecCopy(algebra->oldsolution, algebra->solution);CHKERRQ(ierr);
ierr = VecAXPY(algebra->solution, 0.5*user->dt, k2);CHKERRQ(ierr);
//U^n_2 = U^n + 0.5*dt*k2, now algebra->solution is U^n_2, and algebra->fn is f(U^n_1)
ierr = FormTimeStepFunction(user, algebra, algebra->solution, algebra->fn);CHKERRQ(ierr);
//algebra->fn is f(U^n_2)
ierr = VecCopy(algebra->fn, k3);CHKERRQ(ierr);
// reset the algebra->solution to U^n
ierr = VecCopy(algebra->oldsolution, algebra->solution);CHKERRQ(ierr);
ierr = VecAXPY(algebra->solution, 0.5*user->dt, k3);CHKERRQ(ierr);
//U^n_3 = U^n + 0.5*dt*k3, now algebra->solution is U^n_3, and algebra->fn is f(U^n_2)
ierr = FormTimeStepFunction(user, algebra, algebra->solution, algebra->fn);CHKERRQ(ierr);
//algebra->fn is f(U^n_3)
ierr = VecCopy(algebra->fn, k4);CHKERRQ(ierr);
//U^{n+1} = U^n + dt/6*(k_1 + 2*k_2 + 2*k_3 + k_4)
PetscReal temp;
temp = user->dt/6;
// reset the algebra->solution to U^n
ierr = VecCopy(algebra->oldsolution, algebra->solution);CHKERRQ(ierr);
ierr = VecAXPY(algebra->solution, temp, k1);CHKERRQ(ierr);
// now algebra->solution is U^n + dt/6*k_1
ierr = VecAXPY(algebra->solution, 2*temp, k2);CHKERRQ(ierr);
// now algebra->solution is U^n + dt/6*k_1 + 2*dt/6*k_2
ierr = VecAXPY(algebra->solution, 2*temp, k3);CHKERRQ(ierr);
// now algebra->solution is U^n + dt/6*k_1 + 2*dt/6*k_2 + 2*dt/6*k_3
ierr = VecAXPY(algebra->solution, temp, k4);CHKERRQ(ierr);
// now algebra->solution is U^n + dt/6*k_1 + 2*dt/6*k_2 + 2*dt/6*k_3 + dt/6*k_4
ierr = VecDestroy(&k1);CHKERRQ(ierr);
ierr = VecDestroy(&k2);CHKERRQ(ierr);
ierr = VecDestroy(&k3);CHKERRQ(ierr);
ierr = VecDestroy(&k4);CHKERRQ(ierr);
}else{
ierr = VecCopy(algebra->solution, algebra->oldsolution);CHKERRQ(ierr);
ierr = VecAXPY(algebra->solution, user->dt, algebra->fn);CHKERRQ(ierr);
}
{// Monitor the solution and function norms
PetscReal norm;
PetscLogDouble space =0;
PetscInt size;
PetscReal fnnorm;
ierr = VecNorm(algebra->fn,NORM_2,&fnnorm);CHKERRQ(ierr);
//ierr = VecView(algebra->fn, PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = VecNorm(algebra->solution,NORM_2,&norm);CHKERRQ(ierr);
ierr = VecGetSize(algebra->solution, &size);CHKERRQ(ierr);
norm = norm/size;
fnnorm = fnnorm/size;
if (norm>1.e5) {
SETERRQ2(PETSC_COMM_WORLD, PETSC_ERR_LIB,
"The norm of the solution is: %f (current time: %f). The explicit method is going to DIVERGE!!!", norm, user->current_time);
}
if (user->current_step%10==0) {
ierr = PetscPrintf(PETSC_COMM_WORLD,"Step %D at time %g with solution norm = %g and founction norm = %g \n",
user->current_step, user->current_time, norm, fnnorm);CHKERRQ(ierr);
}
// ierr = PetscMallocGetCurrentUsage(&space);CHKERRQ(ierr);
// if (user->current_step%10==0) {
// ierr = PetscPrintf(PETSC_COMM_WORLD,"Current space PetscMalloc()ed %g M\n",
// space/(1024*1024));CHKERRQ(ierr);
// }
}
{ // Monitor the difference of two steps' solution
PetscReal norm;
ierr = VecAXPY(algebra->oldsolution, -1, algebra->solution);CHKERRQ(ierr);
ierr = VecNorm(algebra->oldsolution,NORM_2,&norm);CHKERRQ(ierr);
if (user->current_step%10==0) {
ierr = PetscPrintf(PETSC_COMM_WORLD,"Step %D at time %g with ||u_k-u_{k-1}|| = %g \n",
user->current_step, user->current_time, norm);CHKERRQ(ierr);
}
if((norm<1.e-6)||(user->current_step > user->max_time_its)){
if(norm<1.e-6) ierr = PetscPrintf(PETSC_COMM_WORLD,"\n Convergence with ||u_k-u_{k-1}|| = %g < 1.e-6\n\n", norm);CHKERRQ(ierr);
if(user->current_step > user->max_time_its) ierr = PetscPrintf(PETSC_COMM_WORLD,"\n Convergence with reaching the max time its\n\n");CHKERRQ(ierr);
break;
}
}
// output the solution
if (user->output_solution && (user->current_step%user->steps_output==0)){
PetscViewer viewer;
Vec solution_unscaled; // Note the the algebra->solution is scaled by the density, so this is for the unscaled solution
nplot = user->current_step/user->steps_output;
// update file name for the current time step
ierr = VecDuplicate(algebra->solution, &solution_unscaled);CHKERRQ(ierr);
ierr = ReformatSolution(algebra->solution, solution_unscaled, user);CHKERRQ(ierr);
ierr = PetscSNPrintf(fileName, sizeof(fileName),"%s_%d.vtk",user->solutionfile, nplot);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"Outputing solution %s (current time %f)\n", fileName, user->current_time);CHKERRQ(ierr);
ierr = OutputVTK(user->dm, fileName, &viewer);CHKERRQ(ierr);
ierr = VecView(solution_unscaled, viewer);CHKERRQ(ierr);
ierr = VecDestroy(&solution_unscaled);CHKERRQ(ierr);
ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
}
user->current_step++;
}
ierr = VecDestroy(&algebra->fn);CHKERRQ(ierr);
}else{ // Using the fully explicit method based on the PETSC TS routing
PetscReal ftime;
TS ts;
TSConvergedReason reason;
PetscInt nsteps;
//PetscReal minRadius;
//ierr = DMPlexTSGetGeometry(user->dm, NULL, NULL, &minRadius);CHKERRQ(ierr);
//user->dt = 0.9*4 * minRadius / 1.0;
ierr = PetscPrintf(PETSC_COMM_WORLD,"Using the fully explicit method based on the PETSC TS routing\n");CHKERRQ(ierr);
ierr = DMCreateGlobalVector(user->dm, &algebra->solution);CHKERRQ(ierr);
ierr = PetscObjectSetName((PetscObject) algebra->solution, "solution");CHKERRQ(ierr);
ierr = VecSet(algebra->solution, 0.0);CHKERRQ(ierr);
ierr = SetInitialCondition(user->dm, algebra->solution, user);CHKERRQ(ierr);
ierr = TSCreate(comm, &ts);CHKERRQ(ierr);
ierr = TSSetType(ts, TSEULER);CHKERRQ(ierr);
ierr = TSSetDM(ts, user->dm);CHKERRQ(ierr);
ierr = TSMonitorSet(ts,TSMonitorFunctionError,(void*)user,NULL);CHKERRQ(ierr);
ierr = TSSetRHSFunction(ts, NULL, MyRHSFunction, user);CHKERRQ(ierr);
ierr = TSSetDuration(ts, 1000, user->final_time);CHKERRQ(ierr);
ierr = TSSetInitialTimeStep(ts, user->initial_time, user->dt);CHKERRQ(ierr);
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
ierr = TSSolve(ts, algebra->solution);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts, &ftime);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts, &nsteps);CHKERRQ(ierr);
ierr = TSGetConvergedReason(ts, &reason);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"%s at time %g after %D steps\n",TSConvergedReasons[reason],ftime,nsteps);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
}
if(user->benchmark_couette) {
ierr = DMCreateGlobalVector(user->dm, &algebra->exactsolution);CHKERRQ(ierr);
ierr = ComputeExactSolution(user->dm, user->current_time, algebra->exactsolution, user);CHKERRQ(ierr);
}
if(user->benchmark_couette) {
PetscViewer viewer;
PetscReal norm;
ierr = OutputVTK(user->dm, "exact_solution.vtk", &viewer);CHKERRQ(ierr);
ierr = VecView(algebra->exactsolution, viewer);CHKERRQ(ierr);
ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
ierr = VecAXPY(algebra->exactsolution, -1, algebra->solution);CHKERRQ(ierr);
ierr = VecNorm(algebra->exactsolution,NORM_INFINITY,&norm);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"Final time at %f, Error: ||u_k-u|| = %g \n", user->current_time, norm);CHKERRQ(ierr);
ierr = OutputVTK(user->dm, "Error.vtk", &viewer);CHKERRQ(ierr);
ierr = VecView(algebra->exactsolution, viewer);CHKERRQ(ierr);
ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
}
ierr = VecDestroy(&algebra->solution);CHKERRQ(ierr);
if(user->myownexplicitmethod){ierr = VecDestroy(&algebra->oldsolution);CHKERRQ(ierr);}
ierr = VecDestroy(&algebra->exactsolution);CHKERRQ(ierr);
ierr = DMDestroy(&user->dm);CHKERRQ(ierr);
} else if (user->TimeIntegralMethod == IMPLICITMETHOD) { // Using the fully implicit method
ierr = PetscPrintf(PETSC_COMM_WORLD,"Using the fully implicit method\n");CHKERRQ(ierr);
ierr = SNESCreate(comm,&user->snes);CHKERRQ(ierr);
ierr = SNESSetDM(user->snes,user->dm);CHKERRQ(ierr);
ierr = DMCreateGlobalVector(user->dm, &algebra->solution);CHKERRQ(ierr);
ierr = VecDuplicate(algebra->solution, &algebra->oldsolution);CHKERRQ(ierr);
ierr = VecDuplicate(algebra->solution, &algebra->f);CHKERRQ(ierr);
ierr = VecDuplicate(algebra->solution, &algebra->fn);CHKERRQ(ierr);
ierr = VecDuplicate(algebra->solution, &algebra->oldfn);CHKERRQ(ierr);
ierr = PetscObjectSetName((PetscObject) algebra->solution, "solution");CHKERRQ(ierr);
ierr = SetInitialCondition(user->dm, algebra->solution, user);CHKERRQ(ierr);
ierr = DMSetMatType(user->dm, MATAIJ);CHKERRQ(ierr);
// ierr = DMCreateMatrix(user->dm, &algebra->A);CHKERRQ(ierr);
ierr = DMCreateMatrix(user->dm, &algebra->J);CHKERRQ(ierr);
if (user->JdiffP) {
/*Set up the preconditioner matrix*/
ierr = DMCreateMatrix(user->dm, &algebra->P);CHKERRQ(ierr);
}else{
algebra->P = algebra->J;
}
ierr = MatSetOption(algebra->J, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE);CHKERRQ(ierr);
/*set nonlinear function */
ierr = SNESSetFunction(user->snes, algebra->f, FormFunction, (void*)user);CHKERRQ(ierr);
/* compute Jacobian */
ierr = SNESSetJacobian(user->snes, algebra->J, algebra->P, FormJacobian, (void*)user);CHKERRQ(ierr);
ierr = SNESSetFromOptions(user->snes);CHKERRQ(ierr);
/* do the solve */
if (user->timestep == TIMESTEP_STEADY_STATE) {
ierr = SolveSteadyState(user);CHKERRQ(ierr);
} else {
ierr = SolveTimeDependent(user);CHKERRQ(ierr);
}
if (user->output_solution){
PetscViewer viewer;
Vec solution_unscaled; // Note the the algebra->solution is scaled by the density, so this is for the unscaled solution
ierr = VecDuplicate(algebra->solution, &solution_unscaled);CHKERRQ(ierr);
ierr = ReformatSolution(algebra->solution, solution_unscaled, user);CHKERRQ(ierr);
ierr = OutputVTK(user->dm, "solution.vtk", &viewer);CHKERRQ(ierr);
ierr = VecView(solution_unscaled, viewer);CHKERRQ(ierr);
ierr = VecDestroy(&solution_unscaled);CHKERRQ(ierr);
ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
}
if(user->benchmark_couette) {
PetscViewer viewer;
PetscReal norm;
ierr = OutputVTK(user->dm, "exact_solution.vtk", &viewer);CHKERRQ(ierr);
ierr = VecView(algebra->exactsolution, viewer);CHKERRQ(ierr);
ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
ierr = VecAXPY(algebra->exactsolution, -1, algebra->solution);CHKERRQ(ierr);
ierr = VecNorm(algebra->exactsolution,NORM_INFINITY,&norm);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"Error: ||u_k-u|| = %g \n", norm);CHKERRQ(ierr);
ierr = OutputVTK(user->dm, "Error.vtk", &viewer);CHKERRQ(ierr);
ierr = VecView(algebra->exactsolution, viewer);CHKERRQ(ierr);
ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
}
ierr = VecDestroy(&algebra->solution);CHKERRQ(ierr);
ierr = VecDestroy(&algebra->f);CHKERRQ(ierr);
ierr = VecDestroy(&algebra->oldsolution);CHKERRQ(ierr);
ierr = VecDestroy(&algebra->fn);CHKERRQ(ierr);
ierr = VecDestroy(&algebra->oldfn);CHKERRQ(ierr);
ierr = SNESDestroy(&user->snes);CHKERRQ(ierr);
ierr = DMDestroy(&user->dm);CHKERRQ(ierr);
} else {
SETERRQ(PETSC_COMM_SELF,PETSC_ERR_USER,"WRONG option for the time integral method. Using the option '-time_integral_method 0 or 1'");
}
ierr = VecDestroy(&user->cellgeom);CHKERRQ(ierr);
ierr = VecDestroy(&user->facegeom);CHKERRQ(ierr);
ierr = DMDestroy(&user->dmGrad);CHKERRQ(ierr);
ierr = PetscFunctionListDestroy(&LimitList);CHKERRQ(ierr);
ierr = PetscFree(user->model->physics);CHKERRQ(ierr);
ierr = PetscFree(user->algebra);CHKERRQ(ierr);
ierr = PetscFree(user->model);CHKERRQ(ierr);
ierr = PetscFree(user);CHKERRQ(ierr);
{
PetscLogDouble space =0;
ierr = PetscMallocGetCurrentUsage(&space);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"Unfreed space at the End %g M\n", space/(1024*1024));CHKERRQ(ierr);
}
ierr = PetscFinalize();
return(0);
}
int main(int argc, char **argv)
{
MPI_Comm comm;
PetscMPIInt rank;
PetscErrorCode ierr;
User user;
PetscLogDouble v1, v2;
PetscInt nplot = 0;
char filename1[2048], fileName[2048];
PetscBool set = PETSC_FALSE;
PetscInt steps_output;
ierr = PetscInitialize(&argc, &argv, (char*) 0, help);CHKERRQ(ierr);
comm = PETSC_COMM_WORLD;
ierr = MPI_Comm_rank(comm, &rank);CHKERRQ(ierr);
ierr = PetscNew(&user);CHKERRQ(ierr);
ierr = PetscNew(&user->algebra);CHKERRQ(ierr);
ierr = PetscNew(&user->model);CHKERRQ(ierr);
ierr = PetscNew(&user->model->physics);CHKERRQ(ierr);
Algebra algebra = user->algebra;
ierr = LoadOptions(comm, user);CHKERRQ(ierr);
ierr = PetscTime(&v1);CHKERRQ(ierr);
ierr = CreateMesh(comm, user);CHKERRQ(ierr);
ierr = PetscTime(&v2);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,
"Read and Distribute mesh takes %f sec \n", v2 - v1);CHKERRQ(ierr);
ierr = SetUpLocalSpace(user);CHKERRQ(ierr); //Set up the dofs of each element
ierr = ConstructGeometryFVM(&user->facegeom, &user->cellgeom, user);CHKERRQ(ierr);
ierr = LimiterSetup(user);CHKERRQ(ierr);
if(user->output_solution){
// the output file options
ierr = PetscOptionsBegin(PETSC_COMM_WORLD,0,"Options for output solution",0);CHKERRQ(ierr);
ierr = PetscOptionsString("-solutionfile", "solution file", "AeroSim.c", filename1,filename1, 2048, &set);CHKERRQ(ierr);
if(!set){SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_NULL,"please use option -solutionfile to specify solution file name \n");}
ierr = PetscOptionsInt("-steps_output", "the number of time steps between two outputs", "", steps_output, &steps_output, &set);CHKERRQ(ierr);
if(!set){ steps_output = 1;}
ierr = PetscOptionsEnd();CHKERRQ(ierr);
}
if (user->TimeIntegralMethod == EXPLICITMETHOD) {
if(user->myownexplicitmethod){
ierr = PetscPrintf(PETSC_COMM_WORLD,"Using the fully explicit method based on my own routing\n");CHKERRQ(ierr);
user->current_time = user->initial_time;
user->current_step = 1;
ierr = DMCreateGlobalVector(user->dm, &algebra->solution);CHKERRQ(ierr);
ierr = PetscObjectSetName((PetscObject) algebra->solution, "solution");CHKERRQ(ierr);
ierr = SetInitialCondition(user->dm, algebra->solution, user);CHKERRQ(ierr);
ierr = VecDuplicate(algebra->solution, &algebra->fn);CHKERRQ(ierr);
ierr = VecDuplicate(algebra->solution, &algebra->oldsolution);CHKERRQ(ierr);
if(user->Explicit_RK2){
ierr = PetscPrintf(PETSC_COMM_WORLD,"Use the second order Runge Kutta method \n");CHKERRQ(ierr);
}else{
ierr = PetscPrintf(PETSC_COMM_WORLD,"Use the first order forward Euler method \n");CHKERRQ(ierr);
}
nplot = 0; //the plot step
while(user->current_time < (user->final_time - 0.05 * user->dt)){
user->current_time = user->current_time + user->dt;
ierr = FormTimeStepFunction(user, algebra, algebra->solution, algebra->fn);CHKERRQ(ierr);
PetscReal fnnorm;
ierr = VecNorm(algebra->fn,NORM_INFINITY,&fnnorm);CHKERRQ(ierr);
if(0){
PetscViewer viewer;
ierr = OutputVTK(user->dm, "function.vtk", &viewer);CHKERRQ(ierr);
ierr = VecView(algebra->fn, viewer);CHKERRQ(ierr);
ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"Step %D at time %g with founction norm = %g \n",
user->current_step, user->current_time, fnnorm);CHKERRQ(ierr);
//break;
}
if(user->Explicit_RK2){
ierr = VecCopy(algebra->solution, algebra->oldsolution);CHKERRQ(ierr);//U^n
ierr = VecAXPY(algebra->solution, user->dt, algebra->fn);CHKERRQ(ierr);//U^{(1)}
ierr = FormTimeStepFunction(user, algebra, algebra->solution, algebra->fn);CHKERRQ(ierr);//f(U^{(1)})
ierr = VecAXPY(algebra->solution, 1.0, algebra->oldsolution);CHKERRQ(ierr);//U^n + U^{(1)}
ierr = VecAXPY(algebra->solution, user->dt, algebra->fn);CHKERRQ(ierr);// + dt*f(U^{(1)})
ierr = VecScale(algebra->solution, 0.5);CHKERRQ(ierr);
}else{
ierr = VecCopy(algebra->solution, algebra->oldsolution);CHKERRQ(ierr);
ierr = VecAXPY(algebra->solution, user->dt, algebra->fn);CHKERRQ(ierr);
}
{// Monitor the solution and function norms
PetscReal norm;
PetscLogDouble space =0;
PetscInt size;
ierr = VecNorm(algebra->solution,NORM_INFINITY,&norm);CHKERRQ(ierr);
ierr = VecGetSize(algebra->solution, &size);CHKERRQ(ierr);
norm = norm/size;
if (norm>1.e5) {
SETERRQ2(PETSC_COMM_WORLD, PETSC_ERR_LIB,
"The norm of the solution is: %f (current time: %f). The explicit method is going to DIVERGE!!!", norm, user->current_time);
}
if (user->current_step%10==0) {
ierr = PetscPrintf(PETSC_COMM_WORLD,"Step %D at time %g with solution norm = %g and founction norm = %g \n",
user->current_step, user->current_time, norm, fnnorm);CHKERRQ(ierr);
}
ierr = PetscMallocGetCurrentUsage(&space);CHKERRQ(ierr);
// if (user->current_step%10==0) {
// ierr = PetscPrintf(PETSC_COMM_WORLD,"Current space PetscMalloc()ed %g M\n",
// space/(1024*1024));CHKERRQ(ierr);
// }
}
{ // Monitor the difference of two steps' solution
PetscReal norm;
ierr = VecAXPY(algebra->oldsolution, -1, algebra->solution);CHKERRQ(ierr);
ierr = VecNorm(algebra->oldsolution,NORM_INFINITY,&norm);CHKERRQ(ierr);
if (user->current_step%10==0) {
ierr = PetscPrintf(PETSC_COMM_WORLD,"Step %D at time %g with ||u_k-u_{k-1}|| = %g \n",
user->current_step, user->current_time, norm);CHKERRQ(ierr);
}
if((norm<1.e-6)||(user->current_step > user->max_time_its)) break;
}
// output the solution
if (user->output_solution && (user->current_step%steps_output==0)){
PetscViewer viewer;
// update file name for the current time step
ierr = PetscSNPrintf(fileName, sizeof(fileName),"%s_%d.vtk",filename1, nplot);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"Outputing solution %s (current time %f)\n", fileName, user->current_time);CHKERRQ(ierr);
ierr = OutputVTK(user->dm, fileName, &viewer);CHKERRQ(ierr);
ierr = VecView(algebra->solution, viewer);CHKERRQ(ierr);
ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
nplot++;
}
user->current_step++;
}
ierr = VecDestroy(&algebra->fn);CHKERRQ(ierr);
}else{
PetscReal ftime;
TS ts;
TSConvergedReason reason;
PetscInt nsteps;
ierr = PetscPrintf(PETSC_COMM_WORLD,"Using the fully explicit method based on the PETSC TS routing\n");CHKERRQ(ierr);
ierr = DMCreateGlobalVector(user->dm, &algebra->solution);CHKERRQ(ierr);
ierr = PetscObjectSetName((PetscObject) algebra->solution, "solution");CHKERRQ(ierr);
ierr = SetInitialCondition(user->dm, algebra->solution, user);CHKERRQ(ierr);
ierr = TSCreate(comm, &ts);CHKERRQ(ierr);
ierr = TSSetType(ts, TSEULER);CHKERRQ(ierr);
ierr = TSSetDM(ts, user->dm);CHKERRQ(ierr);
ierr = TSMonitorSet(ts,TSMonitorFunctionError,&user,NULL);CHKERRQ(ierr);
ierr = TSSetRHSFunction(ts, NULL, MyRHSFunction, user);CHKERRQ(ierr);
ierr = TSSetDuration(ts, 1000, user->final_time);CHKERRQ(ierr);
ierr = TSSetInitialTimeStep(ts, user->initial_time, user->dt);CHKERRQ(ierr);
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
ierr = TSSolve(ts, algebra->solution);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts, &ftime);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts, &nsteps);CHKERRQ(ierr);
ierr = TSGetConvergedReason(ts, &reason);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"%s at time %g after %D steps\n",TSConvergedReasons[reason],ftime,nsteps);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
}
if(user->benchmark_couette) {
ierr = DMCreateGlobalVector(user->dm, &algebra->exactsolution);CHKERRQ(ierr);
ierr = ComputeExactSolution(user->dm, user->final_time, algebra->exactsolution, user);CHKERRQ(ierr);
}
if (user->output_solution){
PetscViewer viewer;
ierr = OutputVTK(user->dm, "solution.vtk", &viewer);CHKERRQ(ierr);
ierr = VecView(algebra->solution, viewer);CHKERRQ(ierr);
ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
}
if(user->benchmark_couette) {
PetscViewer viewer;
PetscReal norm;
ierr = OutputVTK(user->dm, "exact_solution.vtk", &viewer);CHKERRQ(ierr);
ierr = VecView(algebra->exactsolution, viewer);CHKERRQ(ierr);
ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
ierr = VecAXPY(algebra->exactsolution, -1, algebra->solution);CHKERRQ(ierr);
ierr = VecNorm(algebra->exactsolution,NORM_INFINITY,&norm);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"Final time at %f, Error: ||u_k-u|| = %g \n", user->final_time, norm);CHKERRQ(ierr);
ierr = OutputVTK(user->dm, "Error.vtk", &viewer);CHKERRQ(ierr);
ierr = VecView(algebra->exactsolution, viewer);CHKERRQ(ierr);
ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
}
ierr = VecDestroy(&algebra->solution);CHKERRQ(ierr);
ierr = VecDestroy(&algebra->oldsolution);CHKERRQ(ierr);
ierr = DMDestroy(&user->dm);CHKERRQ(ierr);
} else if (user->TimeIntegralMethod == IMPLICITMETHOD) {
ierr = PetscPrintf(PETSC_COMM_WORLD,"Using the fully implicit method\n");CHKERRQ(ierr);
ierr = SNESCreate(comm,&user->snes);CHKERRQ(ierr);
ierr = SNESSetDM(user->snes,user->dm);CHKERRQ(ierr);
ierr = DMCreateGlobalVector(user->dm, &algebra->solution);CHKERRQ(ierr);
ierr = VecDuplicate(algebra->solution, &algebra->oldsolution);CHKERRQ(ierr);
ierr = VecDuplicate(algebra->solution, &algebra->f);CHKERRQ(ierr);
ierr = VecDuplicate(algebra->solution, &algebra->fn);CHKERRQ(ierr);
ierr = VecDuplicate(algebra->solution, &algebra->oldfn);CHKERRQ(ierr);
ierr = PetscObjectSetName((PetscObject) algebra->solution, "solution");CHKERRQ(ierr);
ierr = SetInitialCondition(user->dm, algebra->solution, user);CHKERRQ(ierr);
ierr = DMSetMatType(user->dm, MATAIJ);CHKERRQ(ierr);
// ierr = DMCreateMatrix(user->dm, &algebra->A);CHKERRQ(ierr);
ierr = DMCreateMatrix(user->dm, &algebra->J);CHKERRQ(ierr);
if (user->JdiffP) {
/*Set up the preconditioner matrix*/
ierr = DMCreateMatrix(user->dm, &algebra->P);CHKERRQ(ierr);
}else{
algebra->P = algebra->J;
}
ierr = MatSetOption(algebra->J, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE);CHKERRQ(ierr);
/*set nonlinear function */
ierr = SNESSetFunction(user->snes, algebra->f, FormFunction, (void*)user);CHKERRQ(ierr);
/* compute Jacobian */
ierr = SNESSetJacobian(user->snes, algebra->J, algebra->P, FormJacobian, (void*)user);CHKERRQ(ierr);
ierr = SNESSetFromOptions(user->snes);CHKERRQ(ierr);
/* do the solve */
if (user->timestep == TIMESTEP_STEADY_STATE) {
ierr = SolveSteadyState(user);CHKERRQ(ierr);
} else {
ierr = SolveTimeDependent(user);CHKERRQ(ierr);
}
if (user->output_solution){
PetscViewer viewer;
ierr = OutputVTK(user->dm, "solution.vtk", &viewer);CHKERRQ(ierr);
ierr = VecView(algebra->solution, viewer);CHKERRQ(ierr);
ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
}
if(user->benchmark_couette) {
PetscViewer viewer;
PetscReal norm;
ierr = OutputVTK(user->dm, "exact_solution.vtk", &viewer);CHKERRQ(ierr);
ierr = VecView(algebra->exactsolution, viewer);CHKERRQ(ierr);
ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
ierr = VecAXPY(algebra->exactsolution, -1, algebra->solution);CHKERRQ(ierr);
ierr = VecNorm(algebra->exactsolution,NORM_INFINITY,&norm);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"Error: ||u_k-u|| = %g \n", norm);CHKERRQ(ierr);
ierr = OutputVTK(user->dm, "Error.vtk", &viewer);CHKERRQ(ierr);
ierr = VecView(algebra->exactsolution, viewer);CHKERRQ(ierr);
ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
}
ierr = VecDestroy(&algebra->solution);CHKERRQ(ierr);
ierr = VecDestroy(&algebra->f);CHKERRQ(ierr);
ierr = VecDestroy(&algebra->oldsolution);CHKERRQ(ierr);
ierr = VecDestroy(&algebra->fn);CHKERRQ(ierr);
ierr = VecDestroy(&algebra->oldfn);CHKERRQ(ierr);
ierr = SNESDestroy(&user->snes);CHKERRQ(ierr);
ierr = DMDestroy(&user->dm);CHKERRQ(ierr);
} else {
SETERRQ(PETSC_COMM_SELF,PETSC_ERR_USER,"WRONG option for the time integral method. Using the option '-time_integral_method 0 or 1'");
}
ierr = VecDestroy(&user->cellgeom);CHKERRQ(ierr);
ierr = VecDestroy(&user->facegeom);CHKERRQ(ierr);
ierr = DMDestroy(&user->dmGrad);CHKERRQ(ierr);
ierr = PetscFunctionListDestroy(&LimitList);CHKERRQ(ierr);
ierr = PetscFree(user->model->physics);CHKERRQ(ierr);
ierr = PetscFree(user->algebra);CHKERRQ(ierr);
ierr = PetscFree(user->model);CHKERRQ(ierr);
ierr = PetscFree(user);CHKERRQ(ierr);
{
PetscLogDouble space =0;
ierr = PetscMallocGetCurrentUsage(&space);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"Unfreed space at the End %g M\n", space/(1024*1024));CHKERRQ(ierr);
}
ierr = PetscFinalize();
return(0);
}
unsigned step() const {
int t;
TSGetTimeStepNumber(ts, &t);
return static_cast<unsigned>(t);
}
int main(int argc,char **argv)
{
TS ts; /* nonlinear solver */
Vec X; /* solution, residual vectors */
Mat J; /* Jacobian matrix */
PetscInt steps,maxsteps,mx;
PetscErrorCode ierr;
DM da;
PetscReal ftime,hx,dt;
struct _User user; /* user-defined work context */
TSConvergedReason reason;
PetscInitialize(&argc,&argv,(char*)0,help);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create distributed array (DMDA) to manage parallel grid and vectors
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = DMDACreate1d(PETSC_COMM_WORLD,DMDA_BOUNDARY_NONE,-11,2,2,NULL,&da);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Extract global vectors from DMDA;
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = DMCreateGlobalVector(da,&X);CHKERRQ(ierr);
/* Initialize user application context */
ierr = PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"Advection-reaction options","");
{
user.A = 1;
user.B = 3;
user.alpha = 0.02;
user.uleft = 1;
user.uright = 1;
user.vleft = 3;
user.vright = 3;
ierr = PetscOptionsReal("-A","Reaction rate","",user.A,&user.A,NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-B","Reaction rate","",user.B,&user.B,NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-alpha","Diffusion coefficient","",user.alpha,&user.alpha,NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-uleft","Dirichlet boundary condition","",user.uleft,&user.uleft,NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-uright","Dirichlet boundary condition","",user.uright,&user.uright,NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-vleft","Dirichlet boundary condition","",user.vleft,&user.vleft,NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-vright","Dirichlet boundary condition","",user.vright,&user.vright,NULL);CHKERRQ(ierr);
}
ierr = PetscOptionsEnd();CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create timestepping solver context
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetDM(ts,da);CHKERRQ(ierr);
ierr = TSSetType(ts,TSARKIMEX);CHKERRQ(ierr);
ierr = TSSetRHSFunction(ts,NULL,FormRHSFunction,&user);CHKERRQ(ierr);
ierr = TSSetIFunction(ts,NULL,FormIFunction,&user);CHKERRQ(ierr);
ierr = DMCreateMatrix(da,MATAIJ,&J);CHKERRQ(ierr);
ierr = TSSetIJacobian(ts,J,J,FormIJacobian,&user);CHKERRQ(ierr);
ftime = 10.0;
maxsteps = 10000;
ierr = TSSetDuration(ts,maxsteps,ftime);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set initial conditions
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = FormInitialSolution(ts,X,&user);CHKERRQ(ierr);
ierr = TSSetSolution(ts,X);CHKERRQ(ierr);
ierr = VecGetSize(X,&mx);CHKERRQ(ierr);
hx = 1.0/(PetscReal)(mx/2-1);
dt = 0.4 * PetscSqr(hx) / user.alpha; /* Diffusive stability limit */
ierr = TSSetInitialTimeStep(ts,0.0,dt);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Solve nonlinear system
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSolve(ts,X);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts,&steps);CHKERRQ(ierr);
ierr = TSGetConvergedReason(ts,&reason);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"%s at time %G after %D steps\n",TSConvergedReasons[reason],ftime,steps);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Free work space.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatDestroy(&J);CHKERRQ(ierr);
ierr = VecDestroy(&X);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
ierr = DMDestroy(&da);CHKERRQ(ierr);
ierr = PetscFinalize();
return 0;
}
int main(int argc,char **argv)
{
TS ts; /* nonlinear solver */
Vec x,r; /* solution, residual vectors */
PetscInt steps,maxsteps = 100; /* iterations for convergence */
PetscErrorCode ierr;
DM da;
PetscReal ftime;
SNES ts_snes;
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Initialize program
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
PetscInitialize(&argc,&argv,(char*)0,help);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create distributed array (DMDA) to manage parallel grid and vectors
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = DMDACreate2d(PETSC_COMM_WORLD, DM_BOUNDARY_NONE, DM_BOUNDARY_NONE,DMDA_STENCIL_STAR,-8,-8,PETSC_DECIDE,PETSC_DECIDE,
2,1,NULL,NULL,&da);CHKERRQ(ierr);
ierr = DMDASetFieldName(da,0,"u");CHKERRQ(ierr);
ierr = DMDASetFieldName(da,1,"v");CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Extract global vectors from DMDA; then duplicate for remaining
vectors that are the same types
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = DMCreateGlobalVector(da,&x);CHKERRQ(ierr);
ierr = VecDuplicate(x,&r);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create timestepping solver context
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetDM(ts,da);CHKERRQ(ierr);
ierr = TSSetProblemType(ts,TS_NONLINEAR);CHKERRQ(ierr);
ierr = TSSetRHSFunction(ts,NULL,FormFunction,da);CHKERRQ(ierr);
ierr = TSSetDuration(ts,maxsteps,1.0);CHKERRQ(ierr);
ierr = TSMonitorSet(ts,MyTSMonitor,0,0);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Customize nonlinear solver
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetType(ts,TSBEULER);CHKERRQ(ierr);
ierr = TSGetSNES(ts,&ts_snes);
ierr = SNESMonitorSet(ts_snes,MySNESMonitor,NULL,NULL);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set initial conditions
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = FormInitialSolution(da,x);CHKERRQ(ierr);
ierr = TSSetInitialTimeStep(ts,0.0,.0001);CHKERRQ(ierr);
ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_STEPOVER);CHKERRQ(ierr);
ierr = TSSetSolution(ts,x);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Solve nonlinear system
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSolve(ts,x);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts,&steps);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Free work space. All PETSc objects should be destroyed when they
are no longer needed.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = VecDestroy(&x);CHKERRQ(ierr);
ierr = VecDestroy(&r);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
ierr = DMDestroy(&da);CHKERRQ(ierr);
ierr = PetscFinalize();
PetscFunctionReturn(0);
}
int main(int argc,char **argv)
{
TS ts; /* time integrator */
TSAdapt adapt;
Vec X; /* solution vector */
Mat J; /* Jacobian matrix */
PetscInt steps,maxsteps,ncells,xs,xm,i;
PetscErrorCode ierr;
PetscReal ftime,dt;
char chemfile[PETSC_MAX_PATH_LEN] = "chem.inp",thermofile[PETSC_MAX_PATH_LEN] = "therm.dat";
struct _User user;
TSConvergedReason reason;
PetscBool showsolutions = PETSC_FALSE;
char **snames,*names;
Vec lambda; /* used with TSAdjoint for sensitivities */
ierr = PetscInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr;
ierr = PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"Chemistry solver options","");CHKERRQ(ierr);
ierr = PetscOptionsString("-chem","CHEMKIN input file","",chemfile,chemfile,sizeof(chemfile),NULL);CHKERRQ(ierr);
ierr = PetscOptionsString("-thermo","NASA thermo input file","",thermofile,thermofile,sizeof(thermofile),NULL);CHKERRQ(ierr);
user.pressure = 1.01325e5; /* Pascal */
ierr = PetscOptionsReal("-pressure","Pressure of reaction [Pa]","",user.pressure,&user.pressure,NULL);CHKERRQ(ierr);
user.Tini = 1550;
ierr = PetscOptionsReal("-Tini","Initial temperature [K]","",user.Tini,&user.Tini,NULL);CHKERRQ(ierr);
user.diffus = 100;
ierr = PetscOptionsReal("-diffus","Diffusion constant","",user.diffus,&user.diffus,NULL);CHKERRQ(ierr);
ierr = PetscOptionsBool("-draw_solution","Plot the solution for each cell","",showsolutions,&showsolutions,NULL);CHKERRQ(ierr);
user.diffusion = PETSC_TRUE;
ierr = PetscOptionsBool("-diffusion","Have diffusion","",user.diffusion,&user.diffusion,NULL);CHKERRQ(ierr);
user.reactions = PETSC_TRUE;
ierr = PetscOptionsBool("-reactions","Have reactions","",user.reactions,&user.reactions,NULL);CHKERRQ(ierr);
ierr = PetscOptionsEnd();CHKERRQ(ierr);
ierr = TC_initChem(chemfile, thermofile, 0, 1.0);TCCHKERRQ(ierr);
user.Nspec = TC_getNspec();
user.Nreac = TC_getNreac();
ierr = DMDACreate1d(PETSC_COMM_WORLD,DM_BOUNDARY_PERIODIC,-1,user.Nspec+1,1,NULL,&user.dm);CHKERRQ(ierr);
ierr = DMDAGetInfo(user.dm,NULL,&ncells,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL);CHKERRQ(ierr);
user.dx = 1.0/ncells; /* Set the coordinates of the cell centers; note final ghost cell is at x coordinate 1.0 */
ierr = DMDASetUniformCoordinates(user.dm,0.0,1.0,0.0,1.0,0.0,1.0);CHKERRQ(ierr);
/* set the names of each field in the DMDA based on the species name */
ierr = PetscMalloc1((user.Nspec+1)*LENGTHOFSPECNAME,&names);CHKERRQ(ierr);
ierr = PetscStrcpy(names,"Temp");CHKERRQ(ierr);
TC_getSnames(user.Nspec,names+LENGTHOFSPECNAME);CHKERRQ(ierr);
ierr = PetscMalloc1((user.Nspec+2),&snames);CHKERRQ(ierr);
for (i=0; i<user.Nspec+1; i++) snames[i] = names+i*LENGTHOFSPECNAME;
snames[user.Nspec+1] = NULL;
ierr = DMDASetFieldNames(user.dm,(const char * const *)snames);CHKERRQ(ierr);
ierr = PetscFree(snames);CHKERRQ(ierr);
ierr = PetscFree(names);CHKERRQ(ierr);
ierr = DMCreateMatrix(user.dm,&J);CHKERRQ(ierr);
ierr = DMCreateGlobalVector(user.dm,&X);CHKERRQ(ierr);
ierr = PetscMalloc3(user.Nspec+1,&user.tchemwork,PetscSqr(user.Nspec+1),&user.Jdense,user.Nspec+1,&user.rows);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create timestepping solver context
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetDM(ts,user.dm);CHKERRQ(ierr);
ierr = TSSetType(ts,TSARKIMEX);CHKERRQ(ierr);
ierr = TSARKIMEXSetFullyImplicit(ts,PETSC_TRUE);CHKERRQ(ierr);
ierr = TSARKIMEXSetType(ts,TSARKIMEX4);CHKERRQ(ierr);
ierr = TSSetRHSFunction(ts,NULL,FormRHSFunction,&user);CHKERRQ(ierr);
ierr = TSSetRHSJacobian(ts,J,J,FormRHSJacobian,&user);CHKERRQ(ierr);
ftime = 1.0;
maxsteps = 10000;
ierr = TSSetDuration(ts,maxsteps,ftime);CHKERRQ(ierr);
ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_STEPOVER);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set initial conditions
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = FormInitialSolution(ts,X,&user);CHKERRQ(ierr);
ierr = TSSetSolution(ts,X);CHKERRQ(ierr);
dt = 1e-10; /* Initial time step */
ierr = TSSetInitialTimeStep(ts,0.0,dt);CHKERRQ(ierr);
ierr = TSGetAdapt(ts,&adapt);CHKERRQ(ierr);
ierr = TSAdaptSetStepLimits(adapt,1e-12,1e-4);CHKERRQ(ierr); /* Also available with -ts_adapt_dt_min/-ts_adapt_dt_max */
ierr = TSSetMaxSNESFailures(ts,-1);CHKERRQ(ierr); /* Retry step an unlimited number of times */
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Pass information to graphical monitoring routine
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
if (showsolutions) {
ierr = DMDAGetCorners(user.dm,&xs,NULL,NULL,&xm,NULL,NULL);CHKERRQ(ierr);
for (i=xs;i<xs+xm;i++) {
ierr = MonitorCell(ts,&user,i);CHKERRQ(ierr);
}
}
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set final conditions for sensitivities
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = DMCreateGlobalVector(user.dm,&lambda);CHKERRQ(ierr);
ierr = TSSetCostGradients(ts,1,&lambda,NULL);CHKERRQ(ierr);
ierr = VecSetValue(lambda,0,1.0,INSERT_VALUES);CHKERRQ(ierr);
ierr = VecAssemblyBegin(lambda);CHKERRQ(ierr);
ierr = VecAssemblyEnd(lambda);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Solve ODE
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSolve(ts,X);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts,&steps);CHKERRQ(ierr);
ierr = TSGetConvergedReason(ts,&reason);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"%s at time %g after %D steps\n",TSConvergedReasons[reason],(double)ftime,steps);CHKERRQ(ierr);
{
Vec max;
const char * const *names;
PetscInt i;
const PetscReal *bmax;
ierr = TSMonitorEnvelopeGetBounds(ts,&max,NULL);CHKERRQ(ierr);
if (max) {
ierr = TSMonitorLGGetVariableNames(ts,&names);CHKERRQ(ierr);
if (names) {
ierr = VecGetArrayRead(max,&bmax);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_SELF,"Species - maximum mass fraction\n");CHKERRQ(ierr);
for (i=1; i<user.Nspec; i++) {
if (bmax[i] > .01) {ierr = PetscPrintf(PETSC_COMM_SELF,"%s %g\n",names[i],bmax[i]);CHKERRQ(ierr);}
}
ierr = VecRestoreArrayRead(max,&bmax);CHKERRQ(ierr);
}
}
}
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Free work space.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
TC_reset();
ierr = DMDestroy(&user.dm);CHKERRQ(ierr);
ierr = MatDestroy(&J);CHKERRQ(ierr);
ierr = VecDestroy(&X);CHKERRQ(ierr);
ierr = VecDestroy(&lambda);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
ierr = PetscFree3(user.tchemwork,user.Jdense,user.rows);CHKERRQ(ierr);
ierr = PetscFinalize();
return ierr;
}
int main(int argc,char **argv)
{
TS ts; /* nonlinear solver */
Vec u; /* solution, residual vectors */
Mat J; /* Jacobian matrix */
PetscInt steps,maxsteps = 1000; /* iterations for convergence */
PetscErrorCode ierr;
DM da;
MatFDColoring matfdcoloring = PETSC_NULL;
PetscReal ftime,dt;
MonitorCtx usermonitor; /* user-defined monitor context */
AppCtx user; /* user-defined work context */
JacobianType jacType;
PetscInitialize(&argc,&argv,(char *)0,help);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create distributed array (DMDA) to manage parallel grid and vectors
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = DMDACreate1d(PETSC_COMM_WORLD,DMDA_BOUNDARY_NONE,-11,1,1,PETSC_NULL,&da);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Extract global vectors from DMDA;
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = DMCreateGlobalVector(da,&u);CHKERRQ(ierr);
/* Initialize user application context */
user.c = -30.0;
user.boundary = 0; /* 0: Dirichlet BC; 1: Neumann BC */
user.viewJacobian = PETSC_FALSE;
ierr = PetscOptionsGetInt(PETSC_NULL,"-boundary",&user.boundary,PETSC_NULL);CHKERRQ(ierr);
ierr = PetscOptionsHasName(PETSC_NULL,"-viewJacobian",&user.viewJacobian);CHKERRQ(ierr);
usermonitor.drawcontours = PETSC_FALSE;
ierr = PetscOptionsHasName(PETSC_NULL,"-drawcontours",&usermonitor.drawcontours);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create timestepping solver context
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetProblemType(ts,TS_NONLINEAR);CHKERRQ(ierr);
ierr = TSSetType(ts,TSTHETA);CHKERRQ(ierr);
ierr = TSThetaSetTheta(ts,1.0);CHKERRQ(ierr); /* Make the Theta method behave like backward Euler */
ierr = TSSetIFunction(ts,PETSC_NULL,FormIFunction,&user);CHKERRQ(ierr);
ierr = DMCreateMatrix(da,MATAIJ,&J);CHKERRQ(ierr);
jacType = JACOBIAN_ANALYTIC; /* use user-provide Jacobian */
ierr = TSSetIJacobian(ts,J,J,FormIJacobian,&user);CHKERRQ(ierr);
ierr = TSSetDM(ts,da);CHKERRQ(ierr); /* Use TSGetDM() to access. Setting here allows easy use of geometric multigrid. */
ftime = 1.0;
ierr = TSSetDuration(ts,maxsteps,ftime);CHKERRQ(ierr);
ierr = TSMonitorSet(ts,MyTSMonitor,&usermonitor,PETSC_NULL);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set initial conditions
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = FormInitialSolution(ts,u,&user);CHKERRQ(ierr);
ierr = TSSetSolution(ts,u);CHKERRQ(ierr);
dt = .01;
ierr = TSSetInitialTimeStep(ts,0.0,dt);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
/* Use slow fd Jacobian or fast fd Jacobian with colorings.
Note: this requirs snes which is not created until TSSetUp()/TSSetFromOptions() is called */
ierr = PetscOptionsBegin(((PetscObject)da)->comm,PETSC_NULL,"Options for Jacobian evaluation",PETSC_NULL);CHKERRQ(ierr);
ierr = PetscOptionsEnum("-jac_type","Type of Jacobian","",JacobianTypes,(PetscEnum)jacType,(PetscEnum*)&jacType,0);CHKERRQ(ierr);
ierr = PetscOptionsEnd();CHKERRQ(ierr);
if (jacType == JACOBIAN_FD_COLORING) {
SNES snes;
ISColoring iscoloring;
ierr = DMCreateColoring(da,IS_COLORING_GLOBAL,MATAIJ,&iscoloring);CHKERRQ(ierr);
ierr = MatFDColoringCreate(J,iscoloring,&matfdcoloring);CHKERRQ(ierr);
ierr = MatFDColoringSetFromOptions(matfdcoloring);CHKERRQ(ierr);
ierr = ISColoringDestroy(&iscoloring);CHKERRQ(ierr);
ierr = MatFDColoringSetFunction(matfdcoloring,(PetscErrorCode(*)(void))SNESTSFormFunction,ts);CHKERRQ(ierr);
ierr = TSGetSNES(ts,&snes);CHKERRQ(ierr);
ierr = SNESSetJacobian(snes,J,J,SNESDefaultComputeJacobianColor,matfdcoloring);CHKERRQ(ierr);
} else if (jacType == JACOBIAN_FD_FULL){
SNES snes;
ierr = TSGetSNES(ts,&snes);CHKERRQ(ierr);
ierr = SNESSetJacobian(snes,J,J,SNESDefaultComputeJacobian,&user);CHKERRQ(ierr);
}
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Solve nonlinear system
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSolve(ts,u,&ftime);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts,&steps);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Free work space.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatDestroy(&J);CHKERRQ(ierr);
if (matfdcoloring) {ierr = MatFDColoringDestroy(&matfdcoloring);CHKERRQ(ierr);}
ierr = VecDestroy(&u);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
ierr = DMDestroy(&da);CHKERRQ(ierr);
ierr = PetscFinalize();
PetscFunctionReturn(0);
}
int main(int argc,char **argv)
{
PetscErrorCode ierr;
DM da; /* structured grid topology object */
TS ts; /* time-stepping object (contains snes) */
SNES snes; /* Newton solver object */
Vec X,residual; /* solution, residual */
Mat J; /* Jacobian matrix */
PetscInt Mx,My,fsteps,steps;
ISColoring iscoloring;
PetscReal tstart,tend,ftime,secperday=3600.0*24.0,Y0;
PetscBool fdflg = PETSC_FALSE, mfileflg = PETSC_FALSE, optflg = PETSC_FALSE;
char mfile[PETSC_MAX_PATH_LEN] = "out.m";
MatFDColoring matfdcoloring;
PorousCtx user; /* user-defined work context */
PetscInitialize(&argc,&argv,(char *)0,help);
ierr = DMDACreate2d(PETSC_COMM_WORLD,
DMDA_BOUNDARY_NONE, DMDA_BOUNDARY_NONE, // correct for zero Dirichlet
DMDA_STENCIL_STAR, // nonlinear diffusion but diffusivity
// depends on soln W not grad W
-21,-21, // default to 20x20 grid but override with
// -da_grid_x, -da_grid_y (or -da_refine)
PETSC_DECIDE,PETSC_DECIDE, // num of procs in each dim
2, // dof = 2: node = (W,Y)
// or node = (P,dPsqr)
// or node = (ddxE,ddyN)
1, // s = 1 (stencil extends out one cell)
PETSC_NULL,PETSC_NULL, // no specify proc decomposition
&da);CHKERRQ(ierr);
ierr = DMSetApplicationContext(da,&user);CHKERRQ(ierr);
/* get Vecs and Mats for this grid */
ierr = DMCreateGlobalVector(da,&X);CHKERRQ(ierr);
ierr = VecDuplicate(X,&residual);CHKERRQ(ierr);
ierr = VecDuplicate(X,&user.geom);CHKERRQ(ierr);
ierr = DMGetMatrix(da,MATAIJ,&J);CHKERRQ(ierr);
/* set up contexts */
tstart = 10.0 * secperday; /* 10 days in seconds */
tend = 30.0 * secperday;
steps = 20;
Y0 = 1.0; /* initial value of Y, for computing initial
value of P; note Ymin = 0.1 is different */
user.da = da;
ierr = DefaultContext(&user);CHKERRQ(ierr);
ierr = PetscOptionsBegin(PETSC_COMM_WORLD,
"","options to (W,P)-space better hydrology model alt","");CHKERRQ(ierr);
{
ierr = PetscOptionsReal("-alt_sigma","nonlinear power","",
user.sigma,&user.sigma,PETSC_NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-alt_Ymin",
"min capacity thickness (esp. in pressure computation)","",
user.Ymin,&user.Ymin,PETSC_NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-alt_Wmin",
"min water amount (esp. in pressure computation)","",
user.Wmin,&user.Wmin,PETSC_NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-alt_Y0",
"constant initial capacity thickness","",
Y0,&Y0,PETSC_NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-alt_Cmelt",
"additional coefficient for amount of melt","",
user.Cmelt,&user.Cmelt,PETSC_NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-alt_Creep",
"creep closure coefficient","",
user.Creep,&user.Creep,PETSC_NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-alt_L","half-width of square region in meters","",
user.L,&user.L,PETSC_NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-alt_tstart_days","start time in days","",
tstart/secperday,&tstart,&optflg);CHKERRQ(ierr);
if (optflg) { tstart *= secperday; }
ierr = PetscOptionsReal("-alt_tend_days","end time in days","",
tend/secperday,&tend,&optflg);CHKERRQ(ierr);
if (optflg) { tend *= secperday; }
ierr = PetscOptionsInt("-alt_steps","number of timesteps to take","",
steps,&steps,PETSC_NULL);CHKERRQ(ierr);
ierr = PetscOptionsBool("-alt_converge_check",
"run silent and check for convergence",
"",user.run_silent,&user.run_silent,PETSC_NULL);
CHKERRQ(ierr);
ierr = PetscOptionsString("-mfile",
"name of Matlab file to write results","",
mfile,mfile,PETSC_MAX_PATH_LEN,&mfileflg);
CHKERRQ(ierr);
}
ierr = PetscOptionsEnd();CHKERRQ(ierr);
/* fix remaining parameters */
ierr = DerivedConstants(&user);CHKERRQ(ierr);
ierr = VecStrideSet(user.geom,0,user.H0);CHKERRQ(ierr); /* H(x,y) = H0 */
ierr = VecStrideSet(user.geom,1,0.0);CHKERRQ(ierr); /* b(x,y) = 0 */
ierr = DMDASetUniformCoordinates(da, // square domain
-user.L, user.L, -user.L, user.L, 0.0, 1.0);CHKERRQ(ierr);
ierr = DMDAGetInfo(da,PETSC_IGNORE,&Mx,&My,
PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,
PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,
PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE);CHKERRQ(ierr);
user.dx = 2.0 * user.L / (Mx-1);
user.dy = 2.0 * user.L / (My-1);
/* setup TS = timestepping object */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetType(ts,TSCN);CHKERRQ(ierr);
ierr = TSSetRHSFunction(ts,residual,RHSFunction,&user);CHKERRQ(ierr);
/* use coloring to compute rhs Jacobian efficiently */
ierr = PetscOptionsGetBool(PETSC_NULL,"-fd",&fdflg,PETSC_NULL);CHKERRQ(ierr);
if (fdflg){
ierr = DMGetColoring(da,IS_COLORING_GLOBAL,MATAIJ,&iscoloring);CHKERRQ(ierr);
ierr = MatFDColoringCreate(J,iscoloring,&matfdcoloring);CHKERRQ(ierr);
ierr = MatFDColoringSetFromOptions(matfdcoloring);CHKERRQ(ierr);
ierr = ISColoringDestroy(&iscoloring);CHKERRQ(ierr);
ierr = MatFDColoringSetFunction(matfdcoloring,
(PetscErrorCode (*)(void))RHSFunction,&user);CHKERRQ(ierr);
ierr = TSSetRHSJacobian(ts,J,J,TSDefaultComputeJacobianColor,
matfdcoloring);CHKERRQ(ierr);
} else { /* default case */
ierr = TSSetRHSJacobian(ts,J,J,RHSJacobian,&user);CHKERRQ(ierr);
}
/* set initial state: W = barenblatt, P = pi (W/Y0)^sigma */
ierr = InitialState(da,&user,tstart,Y0,X);CHKERRQ(ierr);
/* set up times for time-stepping */
ierr = TSSetInitialTimeStep(ts,tstart,
(tend - tstart) / (PetscReal)steps);CHKERRQ(ierr);
ierr = TSSetDuration(ts,steps,tend);CHKERRQ(ierr);
ierr = TSSetExactFinalTime(ts,PETSC_TRUE);CHKERRQ(ierr);
ierr = TSMonitorSet(ts,MyTSMonitor,&user,PETSC_NULL);CHKERRQ(ierr);
/* Set SNESVI type and supply upper and lower bounds. */
ierr = TSGetSNES(ts,&snes);CHKERRQ(ierr);
ierr = SNESVISetComputeVariableBounds(snes,FormPositivityBounds);
CHKERRQ(ierr);
/* ask user to finalize settings */
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
/* report on setup */
if (!user.run_silent) {
ierr = PetscPrintf(PETSC_COMM_WORLD,
"setup done: square side length = %.3f km\n"
" grid Mx,My = %d,%d\n"
" spacing dx,dy = %.3f,%.3f m\n"
" times tstart:dt:tend = %.3f:%.3f:%.3f days\n",
2.0 * user.L / 1000.0, Mx, My, user.dx, user.dy,
tstart / secperday, (tend-tstart)/(steps*secperday), tend / secperday);
CHKERRQ(ierr);
}
if (mfileflg) {
if (!user.run_silent) {
ierr = PetscPrintf(PETSC_COMM_WORLD,
"writing initial W,P and geometry H,b to Matlab file %s ...\n",
mfile);CHKERRQ(ierr);
}
ierr = print2vecmatlab(da,X,"W_init","P_init",mfile,PETSC_FALSE);CHKERRQ(ierr);
ierr = print2vecmatlab(da,user.geom,"H","b",mfile,PETSC_TRUE);CHKERRQ(ierr);
}
/* run time-stepping with implicit steps */
ierr = TSSolve(ts,X,&ftime);CHKERRQ(ierr);
/* make a report on run and final state */
ierr = TSGetTimeStepNumber(ts,&fsteps);CHKERRQ(ierr);
if ((!user.run_silent) && (ftime != tend)) {
ierr = PetscPrintf(PETSC_COMM_WORLD,
"***WARNING3***: reported final time wrong: ftime(=%.12e) != tend(=%.12e) (days)\n",
ftime / secperday, tend / secperday);CHKERRQ(ierr); }
if ((!user.run_silent) && (fsteps != steps)) {
ierr = PetscPrintf(PETSC_COMM_WORLD,
"***WARNING4***: reported number of steps wrong: fsteps(=%D) != steps(=%D)\n",
fsteps, steps);CHKERRQ(ierr); }
if (mfileflg) {
if (!user.run_silent) {
ierr = PetscPrintf(PETSC_COMM_WORLD,
"writing final fields to %s ...\n",mfile);CHKERRQ(ierr);
}
ierr = print2vecmatlab(da,X,"W_final","P_final",mfile,PETSC_TRUE);CHKERRQ(ierr);
ierr = printfigurematlab(da,2,"W_init","W_final",mfile,PETSC_TRUE);CHKERRQ(ierr);
ierr = printfigurematlab(da,3,"P_init","P_final",mfile,PETSC_TRUE);CHKERRQ(ierr);
}
if (user.run_silent) {
ierr = PetscPrintf(PETSC_COMM_WORLD, "%6d %6d %9.3f %.12e\n",
Mx, My, (tend-tstart)/secperday, user.maxrnorm);CHKERRQ(ierr);
}
/* Free work space. */
ierr = MatDestroy(&J);CHKERRQ(ierr);
if (fdflg) { ierr = MatFDColoringDestroy(&matfdcoloring);CHKERRQ(ierr); }
ierr = VecDestroy(&X);CHKERRQ(ierr);
ierr = VecDestroy(&user.geom);CHKERRQ(ierr);
ierr = VecDestroy(&residual);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
ierr = DMDestroy(&da);CHKERRQ(ierr);
ierr = PetscFinalize();CHKERRQ(ierr);
PetscFunctionReturn((PetscInt)(user.not_converged_warning));
}
int main(int argc,char **argv)
{
TS ts; /* nonlinear solver */
Vec ic;
PetscBool monitor = PETSC_FALSE;
PetscScalar *x_ptr;
PetscMPIInt size;
struct _n_User user;
PetscErrorCode ierr;
Tao tao;
TaoConvergedReason reason;
KSP ksp;
PC pc;
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Initialize program
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
PetscInitialize(&argc,&argv,NULL,help);
ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
if (size != 1) SETERRQ(PETSC_COMM_SELF,1,"This is a uniprocessor example only!");
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
user.mu = 1.0;
user.next_output = 0.0;
user.steps = 0;
user.ftime = 0.5;
ierr = PetscOptionsGetReal(NULL,"-mu",&user.mu,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetBool(NULL,"-monitor",&monitor,NULL);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create necessary matrix and vectors, solve same ODE on every process
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatCreate(PETSC_COMM_WORLD,&user.A);CHKERRQ(ierr);
ierr = MatSetSizes(user.A,PETSC_DECIDE,PETSC_DECIDE,2,2);CHKERRQ(ierr);
ierr = MatSetFromOptions(user.A);CHKERRQ(ierr);
ierr = MatSetUp(user.A);CHKERRQ(ierr);
ierr = MatCreateVecs(user.A,&user.x,NULL);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create timestepping solver context
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetType(ts,TSRK);CHKERRQ(ierr);
ierr = TSSetRHSFunction(ts,NULL,RHSFunction,&user);CHKERRQ(ierr);
ierr = TSSetDuration(ts,PETSC_DEFAULT,user.ftime);CHKERRQ(ierr);
ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_MATCHSTEP);CHKERRQ(ierr);
if (monitor) {
ierr = TSMonitorSet(ts,Monitor,&user,NULL);CHKERRQ(ierr);
}
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set initial conditions
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = VecGetArray(user.x,&x_ptr);CHKERRQ(ierr);
x_ptr[0] = 2.0; x_ptr[1] = 0.66666654321;
ierr = VecRestoreArray(user.x,&x_ptr);CHKERRQ(ierr);
ierr = TSSetTime(ts,0.0);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"mu %g, steps %D, ftime %g\n",(double)user.mu,user.steps,(double)(user.ftime));CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Save trajectory of solution so that TSAdjointSolve() may be used
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetSaveTrajectory(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Solve nonlinear system
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSolve(ts,user.x);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts,&(user.ftime));CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts,&user.steps);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"mu %g, steps %D, ftime %g\n",(double)user.mu,user.steps,(double)user.ftime);CHKERRQ(ierr);
ierr = VecGetArray(user.x,&x_ptr);CHKERRQ(ierr);
user.x_ob[0] = x_ptr[0];
user.x_ob[1] = x_ptr[1];
ierr = MatCreateVecs(user.A,&user.lambda[0],NULL);CHKERRQ(ierr);
/* Create TAO solver and set desired solution method */
ierr = TaoCreate(PETSC_COMM_WORLD,&tao);CHKERRQ(ierr);
ierr = TaoSetType(tao,TAOCG);CHKERRQ(ierr);
/* Set initial solution guess */
ierr = MatCreateVecs(user.A,&ic,NULL);CHKERRQ(ierr);
ierr = VecGetArray(ic,&x_ptr);CHKERRQ(ierr);
x_ptr[0] = 2.1;
x_ptr[1] = 0.7;
ierr = VecRestoreArray(ic,&x_ptr);CHKERRQ(ierr);
ierr = TaoSetInitialVector(tao,ic);CHKERRQ(ierr);
/* Set routine for function and gradient evaluation */
ierr = TaoSetObjectiveAndGradientRoutine(tao,FormFunctionGradient,(void *)&user);CHKERRQ(ierr);
/* Check for any TAO command line options */
ierr = TaoSetFromOptions(tao);CHKERRQ(ierr);
ierr = TaoGetKSP(tao,&ksp);CHKERRQ(ierr);
if (ksp) {
ierr = KSPGetPC(ksp,&pc);CHKERRQ(ierr);
ierr = PCSetType(pc,PCNONE);CHKERRQ(ierr);
}
ierr = TaoSetTolerances(tao,1e-10,1e-10,1e-10,PETSC_DEFAULT,PETSC_DEFAULT);
/* SOLVE THE APPLICATION */
ierr = TaoSolve(tao); CHKERRQ(ierr);
/* Get information on termination */
ierr = TaoGetConvergedReason(tao,&reason);CHKERRQ(ierr);
if (reason <= 0){
ierr=PetscPrintf(MPI_COMM_WORLD, "Try another method! \n");CHKERRQ(ierr);
}
/* Free TAO data structures */
ierr = TaoDestroy(&tao);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Free work space. All PETSc objects should be destroyed when they
are no longer needed.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatDestroy(&user.A);CHKERRQ(ierr);
ierr = VecDestroy(&user.x);CHKERRQ(ierr);
ierr = VecDestroy(&user.lambda[0]);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
ierr = VecDestroy(&ic);CHKERRQ(ierr);
ierr = PetscFinalize();
PetscFunctionReturn(0);
}
int main(int argc,char **argv)
{
TS ts; /* nonlinear solver */
Vec x; /* solution, residual vectors */
Mat A; /* Jacobian matrix */
Mat Jacp; /* JacobianP matrix */
PetscInt steps;
PetscReal ftime =0.5;
PetscBool monitor = PETSC_FALSE;
PetscScalar *x_ptr;
PetscMPIInt size;
struct _n_User user;
PetscErrorCode ierr;
Vec lambda[2],mu[2];
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Initialize program
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
PetscInitialize(&argc,&argv,NULL,help);
ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
if (size != 1) SETERRQ(PETSC_COMM_SELF,1,"This is a uniprocessor example only!");
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
user.mu = 1;
user.next_output = 0.0;
ierr = PetscOptionsGetReal(NULL,NULL,"-mu",&user.mu,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetBool(NULL,NULL,"-monitor",&monitor,NULL);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create necessary matrix and vectors, solve same ODE on every process
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,2,2);CHKERRQ(ierr);
ierr = MatSetFromOptions(A);CHKERRQ(ierr);
ierr = MatSetUp(A);CHKERRQ(ierr);
ierr = MatCreateVecs(A,&x,NULL);CHKERRQ(ierr);
ierr = MatCreate(PETSC_COMM_WORLD,&Jacp);CHKERRQ(ierr);
ierr = MatSetSizes(Jacp,PETSC_DECIDE,PETSC_DECIDE,2,1);CHKERRQ(ierr);
ierr = MatSetFromOptions(Jacp);CHKERRQ(ierr);
ierr = MatSetUp(Jacp);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create timestepping solver context
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetType(ts,TSRK);CHKERRQ(ierr);
ierr = TSSetRHSFunction(ts,NULL,RHSFunction,&user);CHKERRQ(ierr);
ierr = TSSetDuration(ts,PETSC_DEFAULT,ftime);CHKERRQ(ierr);
ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_MATCHSTEP);CHKERRQ(ierr);
if (monitor) {
ierr = TSMonitorSet(ts,Monitor,&user,NULL);CHKERRQ(ierr);
}
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set initial conditions
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = VecGetArray(x,&x_ptr);CHKERRQ(ierr);
x_ptr[0] = 2; x_ptr[1] = 0.66666654321;
ierr = VecRestoreArray(x,&x_ptr);CHKERRQ(ierr);
ierr = TSSetInitialTimeStep(ts,0.0,.001);CHKERRQ(ierr);
/*
Have the TS save its trajectory so that TSAdjointSolve() may be used
*/
ierr = TSSetSaveTrajectory(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Solve nonlinear system
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSolve(ts,x);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts,&steps);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"mu %g, steps %D, ftime %g\n",(double)user.mu,steps,(double)ftime);CHKERRQ(ierr);
ierr = VecView(x,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Start the Adjoint model
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatCreateVecs(A,&lambda[0],NULL);CHKERRQ(ierr);
ierr = MatCreateVecs(A,&lambda[1],NULL);CHKERRQ(ierr);
/* Reset initial conditions for the adjoint integration */
ierr = VecGetArray(lambda[0],&x_ptr);CHKERRQ(ierr);
x_ptr[0] = 1.0; x_ptr[1] = 0.0;
ierr = VecRestoreArray(lambda[0],&x_ptr);CHKERRQ(ierr);
ierr = VecGetArray(lambda[1],&x_ptr);CHKERRQ(ierr);
x_ptr[0] = 0.0; x_ptr[1] = 1.0;
ierr = VecRestoreArray(lambda[1],&x_ptr);CHKERRQ(ierr);
ierr = MatCreateVecs(Jacp,&mu[0],NULL);CHKERRQ(ierr);
ierr = MatCreateVecs(Jacp,&mu[1],NULL);CHKERRQ(ierr);
ierr = VecGetArray(mu[0],&x_ptr);CHKERRQ(ierr);
x_ptr[0] = 0.0;
ierr = VecRestoreArray(mu[0],&x_ptr);CHKERRQ(ierr);
ierr = VecGetArray(mu[1],&x_ptr);CHKERRQ(ierr);
x_ptr[0] = 0.0;
ierr = VecRestoreArray(mu[1],&x_ptr);CHKERRQ(ierr);
ierr = TSSetCostGradients(ts,2,lambda,mu);CHKERRQ(ierr);
/* Set RHS Jacobian for the adjoint integration */
ierr = TSSetRHSJacobian(ts,A,A,RHSJacobian,&user);CHKERRQ(ierr);
/* Set RHS JacobianP */
ierr = TSAdjointSetRHSJacobian(ts,Jacp,RHSJacobianP,&user);CHKERRQ(ierr);
ierr = TSAdjointSolve(ts);CHKERRQ(ierr);
ierr = VecView(lambda[0],PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = VecView(lambda[1],PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = VecView(mu[0],PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = VecView(mu[1],PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Free work space. All PETSc objects should be destroyed when they
are no longer needed.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatDestroy(&A);CHKERRQ(ierr);
ierr = MatDestroy(&Jacp);CHKERRQ(ierr);
ierr = VecDestroy(&x);CHKERRQ(ierr);
ierr = VecDestroy(&lambda[0]);CHKERRQ(ierr);
ierr = VecDestroy(&lambda[1]);CHKERRQ(ierr);
ierr = VecDestroy(&mu[0]);CHKERRQ(ierr);
ierr = VecDestroy(&mu[1]);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
PetscFinalize();
PetscFunctionReturn(0);
}
int main(int argc, char **argv)
{
DM dm;
TS ts;
Vec X;
Mat J;
PetscInt steps, maxsteps, mx;
PetscReal ftime, hx, dt;
TSConvergedReason reason;
struct _User user;
PetscErrorCode ierr;
ierr = PetscInitialize(&argc, &argv, NULL,help);if (ierr) return ierr;
ierr = DMDACreate1d(PETSC_COMM_WORLD, DM_BOUNDARY_NONE, -11, 3, 1, NULL, &dm);CHKERRQ(ierr);
ierr = DMSetFromOptions(dm);CHKERRQ(ierr);
ierr = DMSetUp(dm);CHKERRQ(ierr);
ierr = DMDASetUniformCoordinates(dm, 0.0, 20.0, 0.0, 0.0, 0.0, 0.0);CHKERRQ(ierr);
ierr = DMCreateGlobalVector(dm, &X);CHKERRQ(ierr);
ierr = PetscOptionsBegin(PETSC_COMM_WORLD, NULL, "Dynamic Friction Options", "");
{
user.epsilon = 0.1;
user.gamma = 0.5;
user.gammaTilde = 0.5;
user.xi = 0.5;
user.c = 0.5;
ierr = PetscOptionsReal("-epsilon", "Inverse of seismic ratio", "", user.epsilon, &user.epsilon, NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-gamma", "Wave frequency for interblock coupling", "", user.gamma, &user.gamma, NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-gamma_tilde", "Wave frequency for plate coupling", "", user.gammaTilde, &user.gammaTilde, NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-xi", "Interblock spring constant", "", user.xi, &user.xi, NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-c", "Wavespeed", "", user.c, &user.c, NULL);CHKERRQ(ierr);
}
ierr = PetscOptionsEnd();CHKERRQ(ierr);
ierr = TSCreate(PETSC_COMM_WORLD, &ts);CHKERRQ(ierr);
ierr = TSSetDM(ts, dm);CHKERRQ(ierr);
ierr = TSSetRHSFunction(ts, NULL, FormRHSFunction, &user);CHKERRQ(ierr);
ierr = TSSetIFunction(ts, NULL, FormIFunction, &user);CHKERRQ(ierr);
ierr = DMSetMatType(dm, MATAIJ);CHKERRQ(ierr);
ierr = DMCreateMatrix(dm, &J);CHKERRQ(ierr);
ierr = TSSetIJacobian(ts, J, J, FormIJacobian, &user);CHKERRQ(ierr);
ftime = 800.0;
maxsteps = 10000;
ierr = TSSetDuration(ts, maxsteps, ftime);CHKERRQ(ierr);
ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_STEPOVER);CHKERRQ(ierr);
ierr = FormInitialSolution(ts, X, &user);CHKERRQ(ierr);
ierr = TSSetSolution(ts, X);CHKERRQ(ierr);
ierr = VecGetSize(X, &mx);CHKERRQ(ierr);
hx = 20.0/(PetscReal)(mx-1);
dt = 0.4 * PetscSqr(hx) / PetscSqr(user.c); /* Diffusive stability limit */
ierr = TSSetInitialTimeStep(ts, 0.0, dt);CHKERRQ(ierr);
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
ierr = TSSolve(ts, X);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts, &ftime);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts, &steps);CHKERRQ(ierr);
ierr = TSGetConvergedReason(ts, &reason);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD, "%s at time %g after %D steps\n", TSConvergedReasons[reason], (double)ftime, steps);CHKERRQ(ierr);
ierr = MatDestroy(&J);CHKERRQ(ierr);
ierr = VecDestroy(&X);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
ierr = DMDestroy(&dm);CHKERRQ(ierr);
ierr = PetscFinalize();
return ierr;
}
int main(int argc,char **argv)
{
TS ts; /* time integrator */
SNES snes; /* nonlinear solver */
SNESLineSearch linesearch; /* line search */
Vec X; /* solution, residual vectors */
Mat J; /* Jacobian matrix */
PetscInt steps,maxsteps,mx;
PetscErrorCode ierr;
DM da;
PetscReal ftime,dt;
struct _User user; /* user-defined work context */
TSConvergedReason reason;
PetscInitialize(&argc,&argv,(char*)0,help);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create distributed array (DMDA) to manage parallel grid and vectors
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = DMDACreate1d(PETSC_COMM_WORLD,DMDA_BOUNDARY_NONE,-11,2,2,NULL,&da);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Extract global vectors from DMDA;
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = DMCreateGlobalVector(da,&X);CHKERRQ(ierr);
/* Initialize user application context */
ierr = PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"Advection-reaction options","");
{
user.a[0] = 1; ierr = PetscOptionsReal("-a0","Advection rate 0","",user.a[0],&user.a[0],NULL);CHKERRQ(ierr);
user.a[1] = 0; ierr = PetscOptionsReal("-a1","Advection rate 1","",user.a[1],&user.a[1],NULL);CHKERRQ(ierr);
user.k[0] = 1e6; ierr = PetscOptionsReal("-k0","Reaction rate 0","",user.k[0],&user.k[0],NULL);CHKERRQ(ierr);
user.k[1] = 2*user.k[0]; ierr = PetscOptionsReal("-k1","Reaction rate 1","",user.k[1],&user.k[1],NULL);CHKERRQ(ierr);
user.s[0] = 0; ierr = PetscOptionsReal("-s0","Source 0","",user.s[0],&user.s[0],NULL);CHKERRQ(ierr);
user.s[1] = 1; ierr = PetscOptionsReal("-s1","Source 1","",user.s[1],&user.s[1],NULL);CHKERRQ(ierr);
}
ierr = PetscOptionsEnd();CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create timestepping solver context
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetDM(ts,da);CHKERRQ(ierr);
ierr = TSSetType(ts,TSARKIMEX);CHKERRQ(ierr);
ierr = TSSetRHSFunction(ts,NULL,FormRHSFunction,&user);CHKERRQ(ierr);
ierr = TSSetIFunction(ts,NULL,FormIFunction,&user);CHKERRQ(ierr);
ierr = DMCreateMatrix(da,MATAIJ,&J);CHKERRQ(ierr);
ierr = TSSetIJacobian(ts,J,J,FormIJacobian,&user);CHKERRQ(ierr);
/* A line search in the nonlinear solve can fail due to ill-conditioning unless an absolute tolerance is set. Since
* this problem is linear, we deactivate the line search. For a linear problem, it is usually recommended to also use
* SNESSetType(snes,SNESKSPONLY). */
ierr = TSGetSNES(ts,&snes);CHKERRQ(ierr);
ierr = SNESGetLineSearch(snes,&linesearch);CHKERRQ(ierr);
ierr = SNESLineSearchSetType(linesearch,SNESLINESEARCHBASIC);CHKERRQ(ierr);
ftime = 1.0;
maxsteps = 10000;
ierr = TSSetDuration(ts,maxsteps,ftime);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set initial conditions
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = FormInitialSolution(ts,X,&user);CHKERRQ(ierr);
ierr = TSSetSolution(ts,X);CHKERRQ(ierr);
ierr = VecGetSize(X,&mx);CHKERRQ(ierr);
dt = .1 * PetscMax(user.a[0],user.a[1]) / mx; /* Advective CFL, I don't know why it needs so much safety factor. */
ierr = TSSetInitialTimeStep(ts,0.0,dt);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Solve nonlinear system
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSolve(ts,X);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts,&steps);CHKERRQ(ierr);
ierr = TSGetConvergedReason(ts,&reason);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"%s at time %G after %D steps\n",TSConvergedReasons[reason],ftime,steps);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Free work space.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatDestroy(&J);CHKERRQ(ierr);
ierr = VecDestroy(&X);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
ierr = DMDestroy(&da);CHKERRQ(ierr);
ierr = PetscFinalize();
return 0;
}
int main(int argc,char **argv)
{
PetscErrorCode ierr;
int time; /* amount of loops */
struct in put;
PetscScalar rh; /* relative humidity */
PetscScalar x; /* memory varialbe for relative humidity calculation */
PetscScalar deep_grnd_temp; /* temperature of ground under top soil surface layer */
PetscScalar emma; /* absorption-emission constant for air */
PetscScalar pressure1 = 101300; /* surface pressure */
PetscScalar mixratio; /* mixing ratio */
PetscScalar airtemp; /* temperature of air near boundary layer inversion */
PetscScalar dewtemp; /* dew point temperature */
PetscScalar sfctemp; /* temperature at surface */
PetscScalar pwat; /* total column precipitable water */
PetscScalar cloudTemp; /* temperature at base of cloud */
AppCtx user; /* user-defined work context */
MonitorCtx usermonitor; /* user-defined monitor context */
PetscMPIInt rank,size;
TS ts;
SNES snes;
DM da;
Vec T,rhs; /* solution vector */
Mat J; /* Jacobian matrix */
PetscReal ftime,dt;
PetscInt steps,dof = 5;
PetscBool use_coloring = PETSC_TRUE;
MatFDColoring matfdcoloring = 0;
PetscBool monitor_off = PETSC_FALSE;
PetscInitialize(&argc,&argv,(char*)0,help);
ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRQ(ierr);
/* Inputs */
readinput(&put);
sfctemp = put.Ts;
dewtemp = put.Td;
cloudTemp = put.Tc;
airtemp = put.Ta;
pwat = put.pwt;
if (!rank) PetscPrintf(PETSC_COMM_SELF,"Initial Temperature = %g\n",sfctemp); /* input surface temperature */
deep_grnd_temp = sfctemp - 10; /* set underlying ground layer temperature */
emma = emission(pwat); /* accounts for radiative effects of water vapor */
/* Converts from Fahrenheit to Celsuis */
sfctemp = fahr_to_cel(sfctemp);
airtemp = fahr_to_cel(airtemp);
dewtemp = fahr_to_cel(dewtemp);
cloudTemp = fahr_to_cel(cloudTemp);
deep_grnd_temp = fahr_to_cel(deep_grnd_temp);
/* Converts from Celsius to Kelvin */
sfctemp += 273;
airtemp += 273;
dewtemp += 273;
cloudTemp += 273;
deep_grnd_temp += 273;
/* Calculates initial relative humidity */
x = calcmixingr(dewtemp,pressure1);
mixratio = calcmixingr(sfctemp,pressure1);
rh = (x/mixratio)*100;
if (!rank) printf("Initial RH = %.1f percent\n\n",rh); /* prints initial relative humidity */
time = 3600*put.time; /* sets amount of timesteps to run model */
/* Configure PETSc TS solver */
/*------------------------------------------*/
/* Create grid */
ierr = DMDACreate2d(PETSC_COMM_WORLD,DMDA_BOUNDARY_PERIODIC,DMDA_BOUNDARY_PERIODIC,DMDA_STENCIL_STAR,-20,-20,
PETSC_DECIDE,PETSC_DECIDE,dof,1,NULL,NULL,&da);CHKERRQ(ierr);
ierr = DMDASetUniformCoordinates(da, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0);CHKERRQ(ierr);
/* Define output window for each variable of interest */
ierr = DMDASetFieldName(da,0,"Ts");CHKERRQ(ierr);
ierr = DMDASetFieldName(da,1,"Ta");CHKERRQ(ierr);
ierr = DMDASetFieldName(da,2,"u");CHKERRQ(ierr);
ierr = DMDASetFieldName(da,3,"v");CHKERRQ(ierr);
ierr = DMDASetFieldName(da,4,"p");CHKERRQ(ierr);
/* set values for appctx */
user.da = da;
user.Ts = sfctemp;
user.fract = put.fr; /* fraction of sky covered by clouds */
user.dewtemp = dewtemp; /* dew point temperature (mositure in air) */
user.csoil = 2000000; /* heat constant for layer */
user.dzlay = 0.08; /* thickness of top soil layer */
user.emma = emma; /* emission parameter */
user.wind = put.wnd; /* wind spped */
user.pressure1 = pressure1; /* sea level pressure */
user.airtemp = airtemp; /* temperature of air near boundar layer inversion */
user.Tc = cloudTemp; /* temperature at base of lowest cloud layer */
user.init = put.init; /* user chosen initiation scenario */
user.lat = 70*0.0174532; /* converts latitude degrees to latitude in radians */
user.deep_grnd_temp = deep_grnd_temp; /* temp in lowest ground layer */
/* set values for MonitorCtx */
usermonitor.drawcontours = PETSC_FALSE;
ierr = PetscOptionsHasName(NULL,"-drawcontours",&usermonitor.drawcontours);CHKERRQ(ierr);
if (usermonitor.drawcontours) {
PetscReal bounds[] = {1000.0,-1000., -1000.,-1000., 1000.,-1000., 1000.,-1000., 1000,-1000, 100700,100800};
ierr = PetscViewerDrawOpen(PETSC_COMM_WORLD,0,0,0,0,300,300,&usermonitor.drawviewer);CHKERRQ(ierr);
ierr = PetscViewerDrawSetBounds(usermonitor.drawviewer,dof,bounds);CHKERRQ(ierr);
}
usermonitor.interval = 1;
ierr = PetscOptionsGetInt(NULL,"-monitor_interval",&usermonitor.interval,NULL);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Extract global vectors from DA;
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = DMCreateGlobalVector(da,&T);CHKERRQ(ierr);
ierr = VecDuplicate(T,&rhs);CHKERRQ(ierr); /* r: vector to put the computed right hand side */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetProblemType(ts,TS_NONLINEAR);CHKERRQ(ierr);
ierr = TSSetType(ts,TSBEULER);CHKERRQ(ierr);
ierr = TSSetRHSFunction(ts,rhs,RhsFunc,&user);CHKERRQ(ierr);
/* Set Jacobian evaluation routine - use coloring to compute finite difference Jacobian efficiently */
ierr = DMSetMatType(da,MATAIJ);CHKERRQ(ierr);
ierr = DMCreateMatrix(da,&J);CHKERRQ(ierr);
ierr = TSGetSNES(ts,&snes);CHKERRQ(ierr);
if (use_coloring) {
ISColoring iscoloring;
ierr = DMCreateColoring(da,IS_COLORING_GLOBAL,&iscoloring);CHKERRQ(ierr);
ierr = MatFDColoringCreate(J,iscoloring,&matfdcoloring);CHKERRQ(ierr);
ierr = MatFDColoringSetFromOptions(matfdcoloring);CHKERRQ(ierr);
ierr = MatFDColoringSetUp(J,iscoloring,matfdcoloring);CHKERRQ(ierr);
ierr = ISColoringDestroy(&iscoloring);CHKERRQ(ierr);
ierr = MatFDColoringSetFunction(matfdcoloring,(PetscErrorCode (*)(void))SNESTSFormFunction,ts);CHKERRQ(ierr);
ierr = SNESSetJacobian(snes,J,J,SNESComputeJacobianDefaultColor,matfdcoloring);CHKERRQ(ierr);
} else {
ierr = SNESSetJacobian(snes,J,J,SNESComputeJacobianDefault,NULL);CHKERRQ(ierr);
}
/* Define what to print for ts_monitor option */
ierr = PetscOptionsHasName(NULL,"-monitor_off",&monitor_off);CHKERRQ(ierr);
if (!monitor_off) {
ierr = TSMonitorSet(ts,Monitor,&usermonitor,NULL);CHKERRQ(ierr);
}
ierr = FormInitialSolution(da,T,&user);CHKERRQ(ierr);
dt = TIMESTEP; /* initial time step */
ftime = TIMESTEP*time;
if (!rank) printf("time %d, ftime %g hour, TIMESTEP %g\n",time,ftime/3600,dt);
ierr = TSSetInitialTimeStep(ts,0.0,dt);CHKERRQ(ierr);
ierr = TSSetDuration(ts,time,ftime);CHKERRQ(ierr);
ierr = TSSetSolution(ts,T);CHKERRQ(ierr);
ierr = TSSetDM(ts,da);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Solve nonlinear system
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSolve(ts,T);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts,&steps);CHKERRQ(ierr);
if (!rank) PetscPrintf(PETSC_COMM_WORLD,"Solution T after %g hours %d steps\n",ftime/3600,steps);
if (matfdcoloring) {ierr = MatFDColoringDestroy(&matfdcoloring);CHKERRQ(ierr);}
if (usermonitor.drawcontours) {
ierr = PetscViewerDestroy(&usermonitor.drawviewer);CHKERRQ(ierr);
}
ierr = MatDestroy(&J);CHKERRQ(ierr);
ierr = VecDestroy(&T);CHKERRQ(ierr);
ierr = VecDestroy(&rhs);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
ierr = DMDestroy(&da);CHKERRQ(ierr);
PetscFinalize();
return 0;
}
int main(int argc,char **argv)
{
TS ts; /* nonlinear solver */
Vec u,r; /* solution, residual vector */
Mat J; /* Jacobian matrix */
PetscInt steps,maxsteps = 1000; /* iterations for convergence */
PetscErrorCode ierr;
DM da;
PetscReal ftime,dt;
AppCtx user; /* user-defined work context */
PetscInitialize(&argc,&argv,(char*)0,help);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create distributed array (DMDA) to manage parallel grid and vectors
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = DMDACreate2d(PETSC_COMM_WORLD, DMDA_BOUNDARY_NONE, DMDA_BOUNDARY_NONE,DMDA_STENCIL_STAR,-8,-8,PETSC_DECIDE,PETSC_DECIDE,
1,1,NULL,NULL,&da);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Extract global vectors from DMDA;
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = DMCreateGlobalVector(da,&u);CHKERRQ(ierr);
ierr = VecDuplicate(u,&r);CHKERRQ(ierr);
/* Initialize user application context */
user.c = -30.0;
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create timestepping solver context
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetDM(ts,da);CHKERRQ(ierr);
ierr = TSSetType(ts,TSBEULER);CHKERRQ(ierr);
ierr = TSSetRHSFunction(ts,r,RHSFunction,&user);CHKERRQ(ierr);
/* Set Jacobian */
ierr = DMCreateMatrix(da,MATAIJ,&J);CHKERRQ(ierr);
ierr = TSSetRHSJacobian(ts,J,J,RHSJacobian,NULL);CHKERRQ(ierr);
ftime = 1.0;
ierr = TSSetDuration(ts,maxsteps,ftime);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set initial conditions
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = FormInitialSolution(da,u,&user);CHKERRQ(ierr);
dt = .01;
ierr = TSSetInitialTimeStep(ts,0.0,dt);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Solve nonlinear system
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSolve(ts,u);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts,&steps);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Free work space.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatDestroy(&J);CHKERRQ(ierr);
ierr = VecDestroy(&u);CHKERRQ(ierr);
ierr = VecDestroy(&r);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
ierr = DMDestroy(&da);CHKERRQ(ierr);
ierr = PetscFinalize();
PetscFunctionReturn(0);
}
int main(int argc,char **argv)
{
TS ts; /* nonlinear solver */
Vec x; /* solution, residual vectors */
Mat A; /* Jacobian matrix */
PetscInt steps;
PetscReal ftime = 0.5;
PetscBool monitor = PETSC_FALSE;
PetscScalar *x_ptr;
PetscMPIInt size;
struct _n_User user;
PetscErrorCode ierr;
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Initialize program
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = PetscInitialize(&argc,&argv,NULL,help);CHKERRQ(ierr);
ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
if (size != 1) SETERRQ(PETSC_COMM_SELF,1,"This is a uniprocessor example only!");
/* Register user-specified ARKIMEX method */
ierr = RegisterMyARK2();CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
user.imex = PETSC_TRUE;
user.next_output = 0.0;
user.mu = 1.0e6;
ierr = PetscOptionsGetBool(NULL,NULL,"-imex",&user.imex,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetBool(NULL,NULL,"-monitor",&monitor,NULL);CHKERRQ(ierr);
ierr = PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"Physical parameters",NULL);
ierr = PetscOptionsReal("-mu","Stiffness parameter","<1.0e6>",user.mu,&user.mu,NULL);CHKERRQ(ierr);
ierr = PetscOptionsEnd();
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create necessary matrix and vectors, solve same ODE on every process
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,2,2);CHKERRQ(ierr);
ierr = MatSetFromOptions(A);CHKERRQ(ierr);
ierr = MatSetUp(A);CHKERRQ(ierr);
ierr = MatCreateVecs(A,&x,NULL);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create timestepping solver context
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetType(ts,TSBEULER);CHKERRQ(ierr);
ierr = TSSetRHSFunction(ts,NULL,RHSFunction,&user);CHKERRQ(ierr);
ierr = TSSetIFunction(ts,NULL,IFunction,&user);CHKERRQ(ierr);
ierr = TSSetIJacobian(ts,A,A,IJacobian,&user);CHKERRQ(ierr);
ierr = TSSetDuration(ts,PETSC_DEFAULT,ftime);CHKERRQ(ierr);
ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_STEPOVER);CHKERRQ(ierr);
if (monitor) {
ierr = TSMonitorSet(ts,Monitor,&user,NULL);CHKERRQ(ierr);
}
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set initial conditions
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = VecGetArray(x,&x_ptr);CHKERRQ(ierr);
x_ptr[0] = 2.0; x_ptr[1] = -6.666665432100101e-01;
ierr = VecRestoreArray(x,&x_ptr);CHKERRQ(ierr);
ierr = TSSetInitialTimeStep(ts,0.0,.001);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Solve nonlinear system
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSolve(ts,x);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts,&steps);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"steps %D, ftime %g\n",steps,(double)ftime);CHKERRQ(ierr);
ierr = VecView(x,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Free work space. All PETSc objects should be destroyed when they
are no longer needed.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatDestroy(&A);CHKERRQ(ierr);
ierr = VecDestroy(&x);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
ierr = PetscFinalize();
PetscFunctionReturn(0);
}
