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);
}
/*
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; /* nonlinear solver */
PetscBool monitor = PETSC_FALSE;
PetscScalar *x_ptr,*y_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!");
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
user.next_output = 0.0;
user.mu = 1.0e6;
user.steps = 0;
user.ftime = 0.5;
ierr = PetscOptionsGetBool(NULL,NULL,"-monitor",&monitor,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetReal(NULL,NULL,"-mu",&user.mu,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);
ierr = MatCreate(PETSC_COMM_WORLD,&user.Jacp);CHKERRQ(ierr);
ierr = MatSetSizes(user.Jacp,PETSC_DECIDE,PETSC_DECIDE,2,1);CHKERRQ(ierr);
ierr = MatSetFromOptions(user.Jacp);CHKERRQ(ierr);
ierr = MatSetUp(user.Jacp);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create timestepping solver context
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetType(ts,TSCN);CHKERRQ(ierr);
ierr = TSSetIFunction(ts,NULL,IFunction,&user);CHKERRQ(ierr);
ierr = TSSetIJacobian(ts,user.A,user.A,IJacobian,&user);CHKERRQ(ierr);
ierr = TSSetDuration(ts,200000,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 = TSSetInitialTimeStep(ts,0.0,.0001);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);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Adjoint model starts here
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatCreateVecs(user.A,&user.lambda[0],NULL);CHKERRQ(ierr);
/* Set initial conditions for the adjoint integration */
ierr = VecGetArray(user.lambda[0],&y_ptr);CHKERRQ(ierr);
y_ptr[0] = 1.0; y_ptr[1] = 0.0;
ierr = VecRestoreArray(user.lambda[0],&y_ptr);CHKERRQ(ierr);
ierr = MatCreateVecs(user.A,&user.lambda[1],NULL);CHKERRQ(ierr);
ierr = VecGetArray(user.lambda[1],&y_ptr);CHKERRQ(ierr);
y_ptr[0] = 0.0; y_ptr[1] = 1.0;
ierr = VecRestoreArray(user.lambda[1],&y_ptr);CHKERRQ(ierr);
ierr = MatCreateVecs(user.Jacp,&user.mup[0],NULL);CHKERRQ(ierr);
ierr = VecGetArray(user.mup[0],&x_ptr);CHKERRQ(ierr);
x_ptr[0] = 0.0;
ierr = VecRestoreArray(user.mup[0],&x_ptr);CHKERRQ(ierr);
ierr = MatCreateVecs(user.Jacp,&user.mup[1],NULL);CHKERRQ(ierr);
ierr = VecGetArray(user.mup[1],&x_ptr);CHKERRQ(ierr);
x_ptr[0] = 0.0;
ierr = VecRestoreArray(user.mup[1],&x_ptr);CHKERRQ(ierr);
ierr = TSSetCostGradients(ts,2,user.lambda,user.mup);CHKERRQ(ierr);
/* Set RHS JacobianP */
ierr = TSAdjointSetRHSJacobian(ts,user.Jacp,RHSJacobianP,&user);CHKERRQ(ierr);
ierr = TSAdjointSolve(ts);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"\n sensitivity wrt initial conditions: d[y(tf)]/d[y0] d[y(tf)]/d[z0]\n");CHKERRQ(ierr);
ierr = VecView(user.lambda[0],PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"\n sensitivity wrt initial conditions: d[z(tf)]/d[y0] d[z(tf)]/d[z0]\n");CHKERRQ(ierr);
ierr = VecView(user.lambda[1],PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"\n sensitivity wrt parameters: d[y(tf)]/d[mu]\n");CHKERRQ(ierr);
ierr = VecView(user.mup[0],PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"\n sensivitity wrt parameters: d[z(tf)]/d[mu]\n");CHKERRQ(ierr);
ierr = VecView(user.mup[1],PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Free work space. All PETSc objects should be destroyed when they
are no longer needed.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatDestroy(&user.A);CHKERRQ(ierr);
ierr = MatDestroy(&user.Jacp);CHKERRQ(ierr);
ierr = VecDestroy(&user.x);CHKERRQ(ierr);
ierr = VecDestroy(&user.lambda[0]);CHKERRQ(ierr);
ierr = VecDestroy(&user.lambda[1]);CHKERRQ(ierr);
ierr = VecDestroy(&user.mup[0]);CHKERRQ(ierr);
ierr = VecDestroy(&user.mup[1]);CHKERRQ(ierr);
ierr = TSDestroy(&ts);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);
}
/*
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
G - the newly evaluated gradient
*/
PetscErrorCode FormFunctionGradient(Tao tao,Vec P,PetscReal *f,Vec G,void *ctx0)
{
TS ts;
PetscErrorCode ierr;
Userctx *ctx = (Userctx*)ctx0;
Vec X, F_alg;
SNES snes_alg;
PetscScalar *x_ptr;
Vec lambda[1];
//Vec q;
Vec mu[1];
PetscInt steps,steps3;
PetscReal t,t2;
Vec Xdot;
/* FD check */
PetscReal f1,f2,expo;
Vec Pvec_eps;
PetscReal* P_eps;
PetscInt i;
PetscBool fd;
Vec Xdist_final;
printf("aaa\n");
ierr = VecGetArray(P,&x_ptr);CHKERRQ(ierr);
H[0] = x_ptr[0];
H[1] = x_ptr[1];
H[2] = x_ptr[2];
//printf("FormFunctionGradient: x=[%.14f, %.14f, %.14f]\n", x_ptr[0], x_ptr[1], x_ptr[2]);
//printf("FormFunctionGradient - PD0[0]=%g\n", PD0[0]);
ierr = VecRestoreArray(P,&x_ptr);CHKERRQ(ierr);
if(ctx->t0 > ctx->tdisturb) {
printf("t0 cannot be greater than tdisturb\n");
PetscFunctionReturn(-1);
}
if( (ctx->tdisturb >= ctx->trestore-1.0e-8) || (ctx->tdisturb >= ctx->tfinal-1.0e-8) ) {
printf("tdisturb should be less than trestore and tfinal\n");
PetscFunctionReturn(-1);
}
ctx->misfit=0.0;
ctx->stepnum = 0;
ierr = VecZeroEntries(ctx->vec_q);CHKERRQ(ierr);
ierr = DMCreateGlobalVector(ctx->dmpgrid,&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,TSCN);CHKERRQ(ierr);
ierr = TSSetIFunction(ts,NULL,(TSIFunction) IFunction,ctx);CHKERRQ(ierr);
ierr = TSSetIJacobian(ts,ctx->J,ctx->J,(TSIJacobian)IJacobian,ctx);CHKERRQ(ierr);
ierr = TSSetApplicationContext(ts,ctx);CHKERRQ(ierr);
/* Set initial conditions */
ierr = VecCopy(ctx->X0_disturb, X);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Solve from on [tdisturb, trestore] (disturbance part of the transient)
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
/* Induce a load perturbation at t=tdisturb */
//!for(i=0; i<3; i++) PD0[i] = PD0_disturb[i];
/* Induce a load perturbation at t=trestore*/
for(i=0; i<3; i++) PD0[i] = PD0_ref[i];
//!printf("In FormFunctionGradien: Induce a load perturbance to PD0[0]=%g\n", PD0[0]);
/* Solve for algebraic variables with Xgen given by X0_disturb */
ierr = VecDuplicate(X,&F_alg);CHKERRQ(ierr);
ierr = SNESCreate(PETSC_COMM_WORLD,&snes_alg);CHKERRQ(ierr);
ierr = SNESSetFunction(snes_alg,F_alg,AlgFunction,ctx);CHKERRQ(ierr);
ierr = MatZeroEntries(ctx->J);CHKERRQ(ierr);
ierr = SNESSetJacobian(snes_alg,ctx->J,ctx->J,AlgJacobian,ctx);CHKERRQ(ierr);
ierr = SNESSetOptionsPrefix(snes_alg,"alg_");CHKERRQ(ierr);
ierr = SNESSetFromOptions(snes_alg);CHKERRQ(ierr);
/* Solve the algebraic equations */
ierr = SNESSolve(snes_alg,NULL,X);CHKERRQ(ierr);
/* Just to set up the Jacobian structure */
ierr = VecDuplicate(X,&Xdot);CHKERRQ(ierr);
//! ierr = IJacobian(ts,ctx->tdisturb,X,Xdot,0.0,ctx->J,ctx->J,ctx);CHKERRQ(ierr);
ierr = IJacobian(ts,ctx->trestore,X,Xdot,0.0,ctx->J,ctx->J,ctx);CHKERRQ(ierr);
ierr = VecDestroy(&Xdot);CHKERRQ(ierr);
/* Save trajectory of solution so that TSAdjointSolve() may be used */
ierr = TSSetSaveTrajectory(ts);CHKERRQ(ierr);
/* Hook up the function evaluation */
ierr = TSSetPostStep(ts,EvalMisfit);CHKERRQ(ierr);
//!ierr = TSSetDuration(ts,10000,fmin(ctx->trestore,ctx->tfinal));CHKERRQ(ierr);
ierr = TSSetDuration(ts,10000,ctx->tfinal);CHKERRQ(ierr);
//!ierr = TSSetInitialTimeStep(ts,ctx->tdisturb,ctx->dt);CHKERRQ(ierr);
ierr = TSSetInitialTimeStep(ts,ctx->trestore,ctx->dt);CHKERRQ(ierr);
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
/* Solve the forward problem */
//printf("Forward solve...\n");
ierr = TSSolve(ts,X);CHKERRQ(ierr);
ierr = VecDuplicate(X, &Xdist_final);CHKERRQ(ierr);
ierr = VecCopy(X, Xdist_final);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Solve from on [trestore, tfinal] (post-disturbance transient)
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
/* if(ctx->tfinal>=ctx->trestore+1.0e-8) { */
/* //restore load at trestore */
/* for(i=0; i<3; i++) PD0[i] = PD0_ref[i]; */
/* printf("In FormFunctionGradien: Restore load to PD0[0]=%g\n", PD0[0]); */
/* /\* Solve the algebraic equations *\/ */
/* ierr = SNESSolve(snes_alg,NULL,X);CHKERRQ(ierr); */
/* ierr = TSSetDuration(ts,100000,ctx->tfinal);CHKERRQ(ierr); */
/* ierr = TSSetInitialTimeStep(ts,ctx->trestore,ctx->dt);CHKERRQ(ierr); */
/* /\* Solve (from trestore to tfinal) *\/ */
/* ierr = TSSolve(ts,X);CHKERRQ(ierr); */
/* } else { */
/* printf("Ignoring trestore since tfinal is less than it.\n"); */
/* } */
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Adjoint model starts here
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSGetTimeStepNumber(ts,&steps3);CHKERRQ(ierr);
ierr = TSSetPostStep(ts,NULL);CHKERRQ(ierr);
ierr = MatCreateVecs(ctx->J,&lambda[0],NULL);CHKERRQ(ierr);
/* Set initial conditions for the adjoint integration */
ierr = VecZeroEntries(lambda[0]);CHKERRQ(ierr);
ierr = MatCreateVecs(ctx->Jacp,&mu[0],NULL);CHKERRQ(ierr);
ierr = VecZeroEntries(mu[0]);CHKERRQ(ierr);
/* Sets the initial value of the gradients of the cost w.r.t. x_0 and p */
/* Notes: the entries in these vectors must be correctly initialized */
/* with the values lambda_i = df/dy|finaltime mu_i = df/dp|finaltime */
ierr = TSSetCostGradients(ts,1,lambda,mu);CHKERRQ(ierr);
/* Sets the function that computes the Jacobian of f w.r.t. p where x_t = f(x,y,p,t) */
ierr = TSAdjointSetRHSJacobian(ts,ctx->Jacp,RHSJacobianP,ctx);CHKERRQ(ierr);
/* Sets the routine for evaluating the integral term in the cost */
/*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,ctx);
*/
ierr = TSSetCostIntegrand(ts,1,
NULL,
(PetscErrorCode (*)(TS,PetscReal,Vec,Vec*,void*))DRDYFunction,
(PetscErrorCode (*)(TS,PetscReal,Vec,Vec*,void*))DRDPFunction,ctx);
CHKERRQ(ierr);
t = ctx->tfinal;
steps = (PetscInt)round(ctx->data_dt/ctx->dt);
while(fabs(t-ctx->trestore)>1e-8)
{
ierr = TSGetTime(ts, &t2);CHKERRQ(ierr);
/* Induce the perturbation in load accordingly corresponding to this time */
if(t2-ctx->trestore>=-1e-8)
for(i=0; i<3; i++) PD0[i] = PD0_ref[i];
/* else if(t2-ctx->tdisturb>=0) */
/* for(i=0; i<3; i++) PD0[i] = PD0_disturb[i]; */
else {printf("Panic: should not get here\n"); PetscFunctionReturn(-1);}
/* Initial conditions for the adjoint */
/* lambda += dr/dy */
ierr = TSGetSolution(ts,&X);CHKERRQ(ierr);
ierr = AddDRDY(t2,X,&lambda[0],ctx);CHKERRQ(ierr);
//printf("Manual adjoint backward integration steps=%d t=%g t2=%g \n", steps, t, t2);
/* Sets # steps the adjoint solver should take backward in time*/
ierr = TSAdjointSetSteps(ts,steps);CHKERRQ(ierr);
/* Solves the discrete adjoint problem for an ODE/DAE */
ierr = TSAdjointSolve(ts);CHKERRQ(ierr);
t -= steps * ctx->dt;
}
//printf("mu-FunctionGradient after Adjoint (t=%g)\n",t);
//ierr = VecView(mu[0],PETSC_VIEWER_STDOUT_SELF);
//ierr = VecView(lambda[0],PETSC_VIEWER_STDOUT_SELF);
/* return gradient */
ierr = VecCopy(mu[0],G);CHKERRQ(ierr);
ierr = AddRegGradient(ctx,P,G);
//ierr = VecView(G,PETSC_VIEWER_STDOUT_SELF);CHKERRQ(ierr);
/* return fcn eval */
*f = ctx->misfit;
EvalReg(ctx, P);
*f += ctx->prior;
//printf("objective=%.12f\n", *f);
/* Finalize: destroy */
ierr = VecDestroy(&lambda[0]);CHKERRQ(ierr);
ierr = VecDestroy(&mu[0]);CHKERRQ(ierr);
ierr = VecDestroy(&X);CHKERRQ(ierr);
ierr = VecDestroy(&F_alg);CHKERRQ(ierr);
ierr = SNESDestroy(&snes_alg);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
//printf("Adjoint ends\n");
fd=0;
if(fd) {
/* FD check */
ierr = FormFunction(tao,P,&f1,ctx); CHKERRQ(ierr);
printf("cost=%.12f \n",f1);
ierr = VecDuplicate(P, &Pvec_eps); CHKERRQ(ierr);
for(i=0; i<3; i++) {
for(expo=1e-2; expo>1e-8; expo/=3) {
ierr = VecCopy(P, Pvec_eps); CHKERRQ(ierr);
ierr = VecGetArray(Pvec_eps, &P_eps); CHKERRQ(ierr);
P_eps[i] += expo;
ierr = VecRestoreArray(Pvec_eps, &P_eps); CHKERRQ(ierr);
//ierr = VecView(Pvec_eps,PETSC_VIEWER_STDOUT_SELF);
ierr = FormFunction(tao,Pvec_eps,&f2,ctx); CHKERRQ(ierr);
printf("fd[%d]=%12.6e f1=%.7e f2=%.7e expo=%g\n", i+1, (f2-f1)/expo, f1, f2, expo);
}
}
ierr = VecDestroy(&Pvec_eps); CHKERRQ(ierr);
/* ~end of FD */
}
//PetscFunctionReturn(-1);
PetscFunctionReturn(0);
}
