static PetscErrorCode SNESSetFromOptions_NCG(SNES snes)
{
SNES_NCG *ncg = (SNES_NCG*)snes->data;
PetscErrorCode ierr;
PetscBool debug;
SNESLineSearch linesearch;
SNESNCGType ncgtype=ncg->type;
PetscFunctionBegin;
ierr = PetscOptionsHead("SNES NCG options");CHKERRQ(ierr);
ierr = PetscOptionsBool("-snes_ncg_monitor","Monitor NCG iterations","SNES",ncg->monitor ? PETSC_TRUE : PETSC_FALSE, &debug, NULL);CHKERRQ(ierr);
ierr = PetscOptionsEnum("-snes_ncg_type","NCG Beta type used","SNESNCGSetType",SNESNCGTypes,(PetscEnum)ncg->type,(PetscEnum*)&ncgtype,NULL);CHKERRQ(ierr);
ierr = SNESNCGSetType(snes, ncgtype);CHKERRQ(ierr);
if (debug) {
ncg->monitor = PETSC_VIEWER_STDOUT_(PetscObjectComm((PetscObject)snes));CHKERRQ(ierr);
}
ierr = PetscOptionsTail();CHKERRQ(ierr);
if (!snes->linesearch) {
ierr = SNESGetLineSearch(snes, &linesearch);CHKERRQ(ierr);
if (!snes->pc) {
ierr = SNESLineSearchSetType(linesearch, SNESLINESEARCHCP);CHKERRQ(ierr);
} else {
ierr = SNESLineSearchSetType(linesearch, SNESLINESEARCHL2);CHKERRQ(ierr);
}
}
ierr = SNESLineSearchRegister(SNESLINESEARCHNCGLINEAR, SNESLineSearchCreate_NCGLinear);CHKERRQ(ierr);
PetscFunctionReturn(0);
}
PetscErrorCode SNESSetFromOptions_Anderson(PetscOptions *PetscOptionsObject,SNES snes)
{
SNES_NGMRES *ngmres = (SNES_NGMRES*) snes->data;
PetscErrorCode ierr;
PetscBool debug;
SNESLineSearch linesearch;
PetscFunctionBegin;
ierr = PetscOptionsHead(PetscOptionsObject,"SNES NGMRES options");CHKERRQ(ierr);
ierr = PetscOptionsInt("-snes_anderson_m", "Number of directions","SNES",ngmres->msize,&ngmres->msize,NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-snes_anderson_beta", "Mixing parameter","SNES",ngmres->andersonBeta,&ngmres->andersonBeta,NULL);CHKERRQ(ierr);
ierr = PetscOptionsBool("-snes_anderson_monitor", "Monitor steps of Anderson Mixing","SNES",ngmres->monitor ? PETSC_TRUE : PETSC_FALSE,&debug,NULL);CHKERRQ(ierr);
ierr = PetscOptionsInt("-snes_anderson_restart", "Iterations before forced restart", "SNES",ngmres->restart_periodic,&ngmres->restart_periodic,NULL);CHKERRQ(ierr);
ierr = PetscOptionsInt("-snes_anderson_restart_it", "Tolerance iterations before restart","SNES",ngmres->restart_it,&ngmres->restart_it,NULL);CHKERRQ(ierr);
ierr = PetscOptionsEnum("-snes_anderson_restart_type","Restart type","SNESNGMRESSetRestartType",SNESNGMRESRestartTypes,
(PetscEnum)ngmres->restart_type,(PetscEnum*)&ngmres->restart_type,NULL);CHKERRQ(ierr);
if (debug) {
ngmres->monitor = PETSC_VIEWER_STDOUT_(PetscObjectComm((PetscObject)snes));CHKERRQ(ierr);
}
ierr = PetscOptionsTail();CHKERRQ(ierr);
/* set the default type of the line search if the user hasn't already. */
if (!snes->linesearch) {
ierr = SNESGetLineSearch(snes,&linesearch);CHKERRQ(ierr);
ierr = SNESLineSearchSetType(linesearch,SNESLINESEARCHBASIC);CHKERRQ(ierr);
}
PetscFunctionReturn(0);
}
/*MC
SNESVINEWTONSSLS - Semi-smooth solver for variational inequalities based on Newton's method
Options Database:
+ -snes_type <vinewtonssls,vinewtonrsls> a semi-smooth solver, a reduced space active set method
- -snes_vi_monitor - prints the number of active constraints at each iteration.
Level: beginner
References:
+ 1. - T. S. Munson, F. Facchinei, M. C. Ferris, A. Fischer, and C. Kanzow. The semismooth
algorithm for large scale complementarity problems. INFORMS Journal on Computing, 13 (2001).
- 2. - T. S. Munson, and S. Benson. Flexible Complementarity Solvers for Large Scale
Applications, Optimization Methods and Software, 21 (2006).
.seealso: SNESVISetVariableBounds(), SNESVISetComputeVariableBounds(), SNESCreate(), SNES, SNESSetType(), SNESVINEWTONRSLS, SNESNEWTONTR, SNESLineSearchSetType(),SNESLineSearchSetPostCheck(), SNESLineSearchSetPreCheck()
M*/
PETSC_EXTERN PetscErrorCode SNESCreate_VINEWTONSSLS(SNES snes)
{
PetscErrorCode ierr;
SNES_VINEWTONSSLS *vi;
SNESLineSearch linesearch;
PetscFunctionBegin;
snes->ops->reset = SNESReset_VINEWTONSSLS;
snes->ops->setup = SNESSetUp_VINEWTONSSLS;
snes->ops->solve = SNESSolve_VINEWTONSSLS;
snes->ops->destroy = SNESDestroy_VI;
snes->ops->setfromoptions = SNESSetFromOptions_VINEWTONSSLS;
snes->ops->view = NULL;
snes->usesksp = PETSC_TRUE;
snes->usesnpc = PETSC_FALSE;
ierr = SNESGetLineSearch(snes, &linesearch);CHKERRQ(ierr);
ierr = SNESLineSearchSetType(linesearch, SNESLINESEARCHBT);CHKERRQ(ierr);
ierr = SNESLineSearchBTSetAlpha(linesearch, 0.0);CHKERRQ(ierr);
snes->alwayscomputesfinalresidual = PETSC_FALSE;
ierr = PetscNewLog(snes,&vi);CHKERRQ(ierr);
snes->data = (void*)vi;
ierr = PetscObjectComposeFunction((PetscObject)snes,"SNESVISetVariableBounds_C",SNESVISetVariableBounds_VI);CHKERRQ(ierr);
ierr = PetscObjectComposeFunction((PetscObject)snes,"SNESVISetComputeVariableBounds_C",SNESVISetComputeVariableBounds_VI);CHKERRQ(ierr);
PetscFunctionReturn(0);
}
PetscErrorCode SNESSetUp_VINEWTONRSLS(SNES snes)
{
PetscErrorCode ierr;
SNES_VINEWTONRSLS *vi = (SNES_VINEWTONRSLS*) snes->data;
PetscInt *indices;
PetscInt i,n,rstart,rend;
SNESLineSearch linesearch;
PetscFunctionBegin;
ierr = SNESSetUp_VI(snes);CHKERRQ(ierr);
/* Set up previous active index set for the first snes solve
vi->IS_inact_prev = 0,1,2,....N */
ierr = VecGetOwnershipRange(snes->vec_sol,&rstart,&rend);CHKERRQ(ierr);
ierr = VecGetLocalSize(snes->vec_sol,&n);CHKERRQ(ierr);
ierr = PetscMalloc(n*sizeof(PetscInt),&indices);CHKERRQ(ierr);
for (i=0;i < n; i++) indices[i] = rstart + i;
ierr = ISCreateGeneral(((PetscObject)snes)->comm,n,indices,PETSC_OWN_POINTER,&vi->IS_inact_prev);CHKERRQ(ierr);
/* set the line search functions */
if (!snes->linesearch) {
ierr = SNESGetSNESLineSearch(snes, &linesearch);CHKERRQ(ierr);
ierr = SNESLineSearchSetType(linesearch, SNESLINESEARCHBT);CHKERRQ(ierr);
}
PetscFunctionReturn(0);
}
static PetscErrorCode SNESSetFromOptions_QN(SNES snes)
{
PetscErrorCode ierr;
SNES_QN *qn = (SNES_QN*)snes->data;
PetscBool monflg = PETSC_FALSE,flg;
SNESLineSearch linesearch;
SNESQNRestartType rtype = qn->restart_type;
SNESQNScaleType stype = qn->scale_type;
PetscFunctionBegin;
ierr = PetscOptionsHead("SNES QN options");CHKERRQ(ierr);
ierr = PetscOptionsInt("-snes_qn_m","Number of past states saved for L-BFGS methods","SNESQN",qn->m,&qn->m,NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-snes_qn_powell_gamma","Powell angle tolerance", "SNESQN", qn->powell_gamma, &qn->powell_gamma, NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-snes_qn_powell_downhill","Powell descent tolerance", "SNESQN", qn->powell_downhill, &qn->powell_downhill, NULL);CHKERRQ(ierr);
ierr = PetscOptionsBool("-snes_qn_monitor", "Monitor for the QN methods", "SNESQN", monflg, &monflg, NULL);CHKERRQ(ierr);
ierr = PetscOptionsBool("-snes_qn_single_reduction", "Aggregate reductions", "SNESQN", qn->singlereduction, &qn->singlereduction, NULL);CHKERRQ(ierr);
ierr = PetscOptionsEnum("-snes_qn_scale_type","Scaling type","SNESQNSetScaleType",SNESQNScaleTypes,(PetscEnum)stype,(PetscEnum*)&stype,&flg);CHKERRQ(ierr);
if (flg) ierr = SNESQNSetScaleType(snes,stype);CHKERRQ(ierr);
ierr = PetscOptionsEnum("-snes_qn_restart_type","Restart type","SNESQNSetRestartType",SNESQNRestartTypes,(PetscEnum)rtype,(PetscEnum*)&rtype,&flg);CHKERRQ(ierr);
if (flg) ierr = SNESQNSetRestartType(snes,rtype);CHKERRQ(ierr);
ierr = PetscOptionsEnum("-snes_qn_type","Quasi-Newton update type","",SNESQNTypes,
(PetscEnum)qn->type,(PetscEnum*)&qn->type,NULL);CHKERRQ(ierr);
ierr = PetscOptionsTail();CHKERRQ(ierr);
if (!snes->linesearch) {
ierr = SNESGetLineSearch(snes, &linesearch);CHKERRQ(ierr);
ierr = SNESLineSearchSetType(linesearch, SNESLINESEARCHCP);CHKERRQ(ierr);
}
if (monflg) {
qn->monitor = PETSC_VIEWER_STDOUT_(PetscObjectComm((PetscObject)snes));CHKERRQ(ierr);
}
PetscFunctionReturn(0);
}
static PetscErrorCode SNESSetFromOptions_NEWTONLS(PetscOptionItems *PetscOptionsObject,SNES snes)
{
PetscErrorCode ierr;
SNESLineSearch linesearch;
PetscFunctionBegin;
if (!snes->linesearch) {
ierr = SNESGetLineSearch(snes, &linesearch);CHKERRQ(ierr);
ierr = SNESLineSearchSetType(linesearch, SNESLINESEARCHBT);CHKERRQ(ierr);
}
PetscFunctionReturn(0);
}
static PetscErrorCode SNESSetFromOptions_NRichardson(SNES snes)
{
PetscErrorCode ierr;
SNESLineSearch linesearch;
PetscFunctionBegin;
ierr = PetscOptionsHead("SNES Richardson options");CHKERRQ(ierr);
ierr = PetscOptionsTail();CHKERRQ(ierr);
if (!snes->linesearch) {
ierr = SNESGetLineSearch(snes, &linesearch);CHKERRQ(ierr);
ierr = SNESLineSearchSetType(linesearch, SNESLINESEARCHL2);CHKERRQ(ierr);
}
PetscFunctionReturn(0);
}
static PetscErrorCode SNESSetFromOptions_NEWTONLS(SNES snes)
{
PetscErrorCode ierr;
SNESLineSearch linesearch;
PetscFunctionBegin;
ierr = PetscOptionsHead("SNESNEWTONLS options");CHKERRQ(ierr);
ierr = PetscOptionsTail();CHKERRQ(ierr);
/* set the default line search type */
if (!snes->linesearch) {
ierr = SNESGetSNESLineSearch(snes, &linesearch);CHKERRQ(ierr);
ierr = SNESLineSearchSetType(linesearch, SNESLINESEARCHBT);CHKERRQ(ierr);
}
PetscFunctionReturn(0);
}
PetscErrorCode SNESSetFromOptions_VI(SNES snes)
{
PetscErrorCode ierr;
PetscBool flg;
SNESLineSearch linesearch;
PetscFunctionBegin;
ierr = PetscOptionsHead("SNES VI options");CHKERRQ(ierr);
ierr = PetscOptionsBool("-snes_vi_monitor","Monitor all non-active variables","None",PETSC_FALSE,&flg,0);CHKERRQ(ierr);
if (flg) {
ierr = SNESMonitorSet(snes,SNESMonitorVI,0,0);CHKERRQ(ierr);
}
if (!snes->linesearch) {
ierr = SNESGetSNESLineSearch(snes, &linesearch);CHKERRQ(ierr);
ierr = SNESLineSearchSetType(linesearch, SNESLINESEARCHBT);CHKERRQ(ierr);
ierr = SNESLineSearchBTSetAlpha(linesearch, 0.0);CHKERRQ(ierr);
}
ierr = PetscOptionsTail();CHKERRQ(ierr);
PetscFunctionReturn(0);
}
/*MC
SNESASPIN - Helper SNES type for Additive-Schwarz Preconditioned Inexact Newton
Options Database:
+ -npc_snes_ - options prefix of the nonlinear subdomain solver (must be of type NASM)
. -npc_sub_snes_ - options prefix of the subdomain nonlinear solves
. -npc_sub_ksp_ - options prefix of the subdomain Krylov solver
- -npc_sub_pc_ - options prefix of the subdomain preconditioner
Notes: This routine sets up an instance of NETWONLS with nonlinear left preconditioning. It differs from other
similar functionality in SNES as it creates a linear shell matrix that corresponds to the product:
\sum_{i=0}^{N_b}J_b({X^b_{converged}})^{-1}J(X + \sum_{i=0}^{N_b}(X^b_{converged} - X^b))
which is the ASPIN preconditioned matrix. Similar solvers may be constructed by having matrix-free differencing of
nonlinear solves per linear iteration, but this is far more efficient when subdomain sparse-direct preconditioner
factorizations are reused on each application of J_b^{-1}.
Level: intermediate
.seealso: SNESCreate(), SNES, SNESSetType(), SNESNEWTONLS, SNESNASM, SNESGetNPC(), SNESGetNPCSide()
M*/
PETSC_EXTERN PetscErrorCode SNESCreate_ASPIN(SNES snes)
{
PetscErrorCode ierr;
SNES npc;
KSP ksp;
PC pc;
Mat aspinmat;
MPI_Comm comm;
Vec F;
PetscInt n;
SNESLineSearch linesearch;
PetscFunctionBegin;
/* set up the solver */
ierr = SNESSetType(snes,SNESNEWTONLS);CHKERRQ(ierr);
ierr = SNESSetNPCSide(snes,PC_LEFT);CHKERRQ(ierr);
ierr = SNESSetFunctionType(snes,SNES_FUNCTION_PRECONDITIONED);CHKERRQ(ierr);
ierr = SNESGetNPC(snes,&npc);CHKERRQ(ierr);
ierr = SNESSetType(npc,SNESNASM);CHKERRQ(ierr);
ierr = SNESNASMSetType(npc,PC_ASM_BASIC);CHKERRQ(ierr);
ierr = SNESNASMSetComputeFinalJacobian(npc,PETSC_TRUE);CHKERRQ(ierr);
ierr = SNESGetKSP(snes,&ksp);CHKERRQ(ierr);
ierr = KSPGetPC(ksp,&pc);CHKERRQ(ierr);
ierr = PCSetType(pc,PCNONE);CHKERRQ(ierr);
ierr = PetscObjectGetComm((PetscObject)snes,&comm);CHKERRQ(ierr);
ierr = SNESGetLineSearch(snes,&linesearch);CHKERRQ(ierr);
ierr = SNESLineSearchSetType(linesearch,SNESLINESEARCHBT);CHKERRQ(ierr);
/* set up the shell matrix */
ierr = SNESGetFunction(snes,&F,NULL,NULL);CHKERRQ(ierr);
ierr = VecGetLocalSize(F,&n);CHKERRQ(ierr);
ierr = MatCreateShell(comm,n,n,PETSC_DECIDE,PETSC_DECIDE,snes,&aspinmat);CHKERRQ(ierr);
ierr = MatSetType(aspinmat,MATSHELL);CHKERRQ(ierr);
ierr = MatShellSetOperation(aspinmat,MATOP_MULT,(void(*)(void))MatMultASPIN);CHKERRQ(ierr);
ierr = SNESSetJacobian(snes,aspinmat,NULL,NULL,NULL);CHKERRQ(ierr);
ierr = MatDestroy(&aspinmat);CHKERRQ(ierr);
PetscFunctionReturn(0);
}
PetscErrorCode SNESSetFromOptions_FAS(PetscOptions *PetscOptionsObject,SNES snes)
{
SNES_FAS *fas = (SNES_FAS*) snes->data;
PetscInt levels = 1;
PetscBool flg = PETSC_FALSE, upflg = PETSC_FALSE, downflg = PETSC_FALSE, monflg = PETSC_FALSE, galerkinflg = PETSC_FALSE,continuationflg = PETSC_FALSE;
PetscErrorCode ierr;
char monfilename[PETSC_MAX_PATH_LEN];
SNESFASType fastype;
const char *optionsprefix;
SNESLineSearch linesearch;
PetscInt m, n_up, n_down;
SNES next;
PetscBool isFine;
PetscFunctionBegin;
ierr = SNESFASCycleIsFine(snes, &isFine);CHKERRQ(ierr);
ierr = PetscOptionsHead(PetscOptionsObject,"SNESFAS Options-----------------------------------");CHKERRQ(ierr);
/* number of levels -- only process most options on the finest level */
if (isFine) {
ierr = PetscOptionsInt("-snes_fas_levels", "Number of Levels", "SNESFASSetLevels", levels, &levels, &flg);CHKERRQ(ierr);
if (!flg && snes->dm) {
ierr = DMGetRefineLevel(snes->dm,&levels);CHKERRQ(ierr);
levels++;
fas->usedmfornumberoflevels = PETSC_TRUE;
}
ierr = SNESFASSetLevels(snes, levels, NULL);CHKERRQ(ierr);
fastype = fas->fastype;
ierr = PetscOptionsEnum("-snes_fas_type","FAS correction type","SNESFASSetType",SNESFASTypes,(PetscEnum)fastype,(PetscEnum*)&fastype,&flg);CHKERRQ(ierr);
if (flg) {
ierr = SNESFASSetType(snes, fastype);CHKERRQ(ierr);
}
ierr = SNESGetOptionsPrefix(snes, &optionsprefix);CHKERRQ(ierr);
ierr = PetscOptionsInt("-snes_fas_cycles","Number of cycles","SNESFASSetCycles",fas->n_cycles,&m,&flg);CHKERRQ(ierr);
if (flg) {
ierr = SNESFASSetCycles(snes, m);CHKERRQ(ierr);
}
ierr = PetscOptionsBool("-snes_fas_continuation","Corrected grid-sequence continuation","SNESFASSetContinuation",fas->continuation,&continuationflg,&flg);CHKERRQ(ierr);
if (flg) {
ierr = SNESFASSetContinuation(snes,continuationflg);CHKERRQ(ierr);
}
ierr = PetscOptionsBool("-snes_fas_galerkin", "Form coarse problems with Galerkin","SNESFASSetGalerkin",fas->galerkin,&galerkinflg,&flg);CHKERRQ(ierr);
if (flg) {
ierr = SNESFASSetGalerkin(snes, galerkinflg);CHKERRQ(ierr);
}
if (fas->fastype == SNES_FAS_FULL) {
ierr = PetscOptionsBool("-snes_fas_full_downsweep","Smooth on the initial upsweep for full FAS cycles","SNESFASFullSetDownSweep",fas->full_downsweep,&fas->full_downsweep,&flg);CHKERRQ(ierr);
if (flg) {SNESFASFullSetDownSweep(snes,fas->full_downsweep);CHKERRQ(ierr);}
}
ierr = PetscOptionsInt("-snes_fas_smoothup","Number of post-smoothing steps","SNESFASSetNumberSmoothUp",fas->max_up_it,&n_up,&upflg);CHKERRQ(ierr);
ierr = PetscOptionsInt("-snes_fas_smoothdown","Number of pre-smoothing steps","SNESFASSetNumberSmoothDown",fas->max_down_it,&n_down,&downflg);CHKERRQ(ierr);
ierr = PetscOptionsString("-snes_fas_monitor","Monitor FAS progress","SNESFASSetMonitor","stdout",monfilename,PETSC_MAX_PATH_LEN,&monflg);CHKERRQ(ierr);
if (monflg) ierr = SNESFASSetMonitor(snes, PETSC_TRUE);CHKERRQ(ierr);
flg = PETSC_FALSE;
monflg = PETSC_TRUE;
ierr = PetscOptionsBool("-snes_fas_log","Log times for each FAS level","SNESFASSetLog",monflg,&monflg,&flg);CHKERRQ(ierr);
if (flg) {ierr = SNESFASSetLog(snes,monflg);CHKERRQ(ierr);}
}
ierr = PetscOptionsTail();CHKERRQ(ierr);
/* setup from the determined types if there is no pointwise procedure or smoother defined */
if (upflg) {
ierr = SNESFASSetNumberSmoothUp(snes,n_up);CHKERRQ(ierr);
}
if (downflg) {
ierr = SNESFASSetNumberSmoothDown(snes,n_down);CHKERRQ(ierr);
}
/* set up the default line search for coarse grid corrections */
if (fas->fastype == SNES_FAS_ADDITIVE) {
if (!snes->linesearch) {
ierr = SNESGetLineSearch(snes, &linesearch);CHKERRQ(ierr);
ierr = SNESLineSearchSetType(linesearch, SNESLINESEARCHL2);CHKERRQ(ierr);
}
}
ierr = SNESFASCycleGetCorrection(snes, &next);CHKERRQ(ierr);
/* recursive option setting for the smoothers */
if (next) {ierr = SNESSetFromOptions(next);CHKERRQ(ierr);}
PetscFunctionReturn(0);
}
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;
}
static PetscErrorCode oursneslinesearchpostcheck(SNESLineSearch linesearch, Vec X, Vec Y, Vec W, PetscBool * changed_Y, PetscBool * changed_W, void * ctx)
{
PetscErrorCode ierr = 0;
(*(void (PETSC_STDCALL *)(SNESLineSearch*,Vec*,Vec*,Vec*,PetscBool*,PetscBool*,void*,PetscErrorCode*))
(((PetscObject)linesearch)->fortran_func_pointers[2]))(&linesearch,&X,&Y,&W,changed_Y,changed_W,ctx,&ierr);CHKERRQ(ierr);
return 0;
}
EXTERN_C_BEGIN
void PETSC_STDCALL sneslinesearchsettype_(SNESLineSearch *linesearch,CHAR type PETSC_MIXED_LEN(len),PetscErrorCode *ierr PETSC_END_LEN(len))
{
char *t;
FIXCHAR(type,len,t);
*ierr = SNESLineSearchSetType(*linesearch,t);
FREECHAR(type,t);
}
void PETSC_STDCALL sneslinesearchsetprecheck_(SNESLineSearch *linesearch,
void (PETSC_STDCALL *func)(SNESLineSearch*,Vec*,Vec*,PetscBool*,PetscErrorCode*),
void *ctx,
PetscErrorCode *ierr)
{
PetscObjectAllocateFortranPointers(*linesearch,3);
((PetscObject)*linesearch)->fortran_func_pointers[1] = (PetscVoidFunction)func;
*ierr = SNESLineSearchSetPreCheck(*linesearch,oursneslinesearchprecheck,ctx);
}
void PETSC_STDCALL sneslinesearchsetpostcheck_(SNESLineSearch *linesearch,
void VentilationProblem::SolveFromPressureWithSnes()
{
assert( !mFluxGivenAtInflow ); // It's not a direct solve
if (mTerminalInteractionMatrix == NULL)
{
SetupIterativeSolver();
}
SNES snes;
SNESCreate(PETSC_COMM_SELF, &snes);
// Set the residual creation function (direct solve flux->pressure followed by pressure matching)
SNESSetFunction(snes, mTerminalPressureChangeVector /*residual*/ , &ComputeSnesResidual, this);
// The approximate Jacobian has been precomputed so we are going to wing it
SNESSetJacobian(snes, mTerminalInteractionMatrix, mTerminalInteractionMatrix, /*&ComputeSnesJacobian*/ NULL, this);
#if (PETSC_VERSION_MAJOR == 3) //PETSc 3.x
SNESSetLagJacobian(snes, -1 /*Never rebuild Jacobian*/);
#else
SNESSetType(snes, SNESLS);
#endif
#if (PETSC_VERSION_MAJOR == 3 && PETSC_VERSION_MINOR >= 4) //PETSc 3.4 or later
SNESSetType(snes, SNESNEWTONLS);
#else
SNESSetType(snes, SNESLS);
#endif
// Set the relative tolerance on the residual
// Also set the absolute tolerance - useful for when the solver is started from the correct answer
SNESSetTolerances(snes, 1.0e-16/*abs_tol*/, 1e-15/*r_tol*/, PETSC_DEFAULT/*step_tol*/, PETSC_DEFAULT, PETSC_DEFAULT);
#if (PETSC_VERSION_MAJOR == 3 && PETSC_VERSION_MINOR == 3) //PETSc 3.3
SNESLineSearch linesearch;
SNESGetSNESLineSearch(snes, &linesearch);
SNESLineSearchSetType(linesearch, "bt"); //Use backtracking search as default
#elif (PETSC_VERSION_MAJOR == 3 && PETSC_VERSION_MINOR >= 4) //PETSc 3.4 or later
SNESLineSearch linesearch;
SNESGetLineSearch(snes, &linesearch);
SNESLineSearchSetType(linesearch, "bt"); //Use backtracking search as default
#endif
SNESSetFromOptions(snes);
#if (PETSC_VERSION_MAJOR == 3 && PETSC_VERSION_MINOR >= 5)
// Seems to want the preconditioner to be explicitly set to none now
// Copied this from the similar PETSc example at:
// http://www.mcs.anl.gov/petsc/petsc-current/src/snes/examples/tutorials/ex1.c
// Which got it to work...
KSP ksp;
SNESGetKSP(snes,&ksp);
PC pc;
KSPGetPC(ksp,&pc);
PCSetType(pc,PCNONE);
#endif
#if (PETSC_VERSION_MAJOR == 2 && PETSC_VERSION_MINOR == 2) //PETSc 2.2
SNESSolve(snes, mTerminalFluxChangeVector);
#else
SNESSolve(snes, PETSC_NULL, mTerminalFluxChangeVector);
#endif
///\todo #2300 If used with time-stepping we should maintain a permanent SNES object
SNESDestroy(PETSC_DESTROY_PARAM(snes));
}