static PetscErrorCode KSPSetUp_LSQR(KSP ksp)
{
PetscErrorCode ierr;
KSP_LSQR *lsqr = (KSP_LSQR*)ksp->data;
PetscBool nopreconditioner;
PetscFunctionBegin;
ierr = PetscObjectTypeCompare((PetscObject)ksp->pc,PCNONE,&nopreconditioner);CHKERRQ(ierr);
/* nopreconditioner =PETSC_FALSE; */
lsqr->nwork_m = 2;
if (lsqr->vwork_m) {
ierr = VecDestroyVecs(lsqr->nwork_m,&lsqr->vwork_m);CHKERRQ(ierr);
}
if (nopreconditioner) lsqr->nwork_n = 4;
else lsqr->nwork_n = 5;
if (lsqr->vwork_n) {
ierr = VecDestroyVecs(lsqr->nwork_n,&lsqr->vwork_n);CHKERRQ(ierr);
}
ierr = KSPGetVecs(ksp,lsqr->nwork_n,&lsqr->vwork_n,lsqr->nwork_m,&lsqr->vwork_m);CHKERRQ(ierr);
if (lsqr->se_flg && !lsqr->se) {
/* lsqr->se is not set by user, get it from pmat */
Vec *se;
ierr = KSPGetVecs(ksp,1,&se,0,NULL);CHKERRQ(ierr);
lsqr->se = *se;
ierr = PetscFree(se);CHKERRQ(ierr);
}
PetscFunctionReturn(0);
}
PetscErrorCode KSPSetUp_LGMRES(KSP ksp)
{
PetscErrorCode ierr;
PetscInt max_k,k, aug_dim;
KSP_LGMRES *lgmres = (KSP_LGMRES*)ksp->data;
PetscFunctionBegin;
max_k = lgmres->max_k;
aug_dim = lgmres->aug_dim;
ierr = KSPSetUp_GMRES(ksp);CHKERRQ(ierr);
/* need array of pointers to augvecs*/
ierr = PetscMalloc1((2 * aug_dim + AUG_OFFSET),&lgmres->augvecs);CHKERRQ(ierr);
lgmres->aug_vecs_allocated = 2 *aug_dim + AUG_OFFSET;
ierr = PetscMalloc1((2* aug_dim + AUG_OFFSET),&lgmres->augvecs_user_work);CHKERRQ(ierr);
ierr = PetscMalloc1(aug_dim,&lgmres->aug_order);CHKERRQ(ierr);
ierr = PetscLogObjectMemory((PetscObject)ksp,(aug_dim)*(4*sizeof(void*) + sizeof(PetscInt)) + AUG_OFFSET*2*sizeof(void*));CHKERRQ(ierr);
/* for now we will preallocate the augvecs - because aug_dim << restart
... also keep in mind that we need to keep augvecs from cycle to cycle*/
lgmres->aug_vv_allocated = 2* aug_dim + AUG_OFFSET;
lgmres->augwork_alloc = 2* aug_dim + AUG_OFFSET;
ierr = KSPGetVecs(ksp,lgmres->aug_vv_allocated,&lgmres->augvecs_user_work[0],0,NULL);CHKERRQ(ierr);
ierr = PetscMalloc1((max_k+1),&lgmres->hwork);CHKERRQ(ierr);
ierr = PetscLogObjectParents(ksp,lgmres->aug_vv_allocated,lgmres->augvecs_user_work[0]);CHKERRQ(ierr);
for (k=0; k<lgmres->aug_vv_allocated; k++) {
lgmres->augvecs[k] = lgmres->augvecs_user_work[0][k];
}
PetscFunctionReturn(0);
}
PetscErrorCode KSPGMRESGetNewVectors(KSP ksp,PetscInt it)
{
KSP_GMRES *gmres = (KSP_GMRES*)ksp->data;
PetscErrorCode ierr;
PetscInt nwork = gmres->nwork_alloc,k,nalloc;
PetscFunctionBegin;
nalloc = PetscMin(ksp->max_it,gmres->delta_allocate);
/* Adjust the number to allocate to make sure that we don't exceed the
number of available slots */
if (it + VEC_OFFSET + nalloc >= gmres->vecs_allocated) {
nalloc = gmres->vecs_allocated - it - VEC_OFFSET;
}
if (!nalloc) PetscFunctionReturn(0);
gmres->vv_allocated += nalloc;
ierr = KSPGetVecs(ksp,nalloc,&gmres->user_work[nwork],0,NULL);CHKERRQ(ierr);
ierr = PetscLogObjectParents(ksp,nalloc,gmres->user_work[nwork]);CHKERRQ(ierr);
gmres->mwork_alloc[nwork] = nalloc;
for (k=0; k<nalloc; k++) {
gmres->vecs[it+VEC_OFFSET+k] = gmres->user_work[nwork][k];
}
gmres->nwork_alloc++;
PetscFunctionReturn(0);
}
PetscErrorCode KSPFischerGuessCreate_Method1(KSP ksp,int maxl,KSPFischerGuess_Method1 **ITG)
{
KSPFischerGuess_Method1 *itg;
PetscErrorCode ierr;
PetscFunctionBegin;
PetscValidHeaderSpecific(ksp,KSP_CLASSID,1);
ierr = PetscMalloc(sizeof(KSPFischerGuess_Method1),&itg);CHKERRQ(ierr);
ierr = PetscMalloc(maxl * sizeof(PetscScalar),&itg->alpha);CHKERRQ(ierr);
ierr = PetscLogObjectMemory(ksp,sizeof(KSPFischerGuess_Method1) + maxl*sizeof(PetscScalar));CHKERRQ(ierr);
ierr = KSPGetVecs(ksp,maxl,&itg->xtilde,0,PETSC_NULL);CHKERRQ(ierr);
ierr = PetscLogObjectParents(ksp,maxl,itg->xtilde);CHKERRQ(ierr);
ierr = KSPGetVecs(ksp,maxl,&itg->btilde,0,PETSC_NULL);CHKERRQ(ierr);
ierr = PetscLogObjectParents(ksp,maxl,itg->btilde);CHKERRQ(ierr);
ierr = VecDuplicate(itg->xtilde[0],&itg->guess);CHKERRQ(ierr);
ierr = PetscLogObjectParent(ksp,itg->guess);CHKERRQ(ierr);
*ITG = itg;
PetscFunctionReturn(0);
}
/*
KSPSetWorkVecs - Sets a number of work vectors into a KSP object
Input Parameters:
. ksp - iterative context
. nw - number of work vectors to allocate
Developers Note: This is PETSC_EXTERN because it may be used by user written plugin KSP implementations
*/
PetscErrorCode KSPSetWorkVecs(KSP ksp,PetscInt nw)
{
PetscErrorCode ierr;
PetscFunctionBegin;
ierr = VecDestroyVecs(ksp->nwork,&ksp->work);CHKERRQ(ierr);
ksp->nwork = nw;
ierr = KSPGetVecs(ksp,nw,&ksp->work,0,NULL);CHKERRQ(ierr);
ierr = PetscLogObjectParents(ksp,nw,ksp->work);CHKERRQ(ierr);
PetscFunctionReturn(0);
}
static PetscErrorCode KSPFGMRESGetNewVectors(KSP ksp,PetscInt it)
{
KSP_FGMRES *fgmres = (KSP_FGMRES*)ksp->data;
PetscInt nwork = fgmres->nwork_alloc; /* number of work vector chunks allocated */
PetscInt nalloc; /* number to allocate */
PetscErrorCode ierr;
PetscInt k;
PetscFunctionBegin;
nalloc = fgmres->delta_allocate; /* number of vectors to allocate
in a single chunk */
/* Adjust the number to allocate to make sure that we don't exceed the
number of available slots (fgmres->vecs_allocated)*/
if (it + VEC_OFFSET + nalloc >= fgmres->vecs_allocated) {
nalloc = fgmres->vecs_allocated - it - VEC_OFFSET;
}
if (!nalloc) PetscFunctionReturn(0);
fgmres->vv_allocated += nalloc; /* vv_allocated is the number of vectors allocated */
/* work vectors */
ierr = KSPGetVecs(ksp,nalloc,&fgmres->user_work[nwork],0,NULL);CHKERRQ(ierr);
ierr = PetscLogObjectParents(ksp,nalloc,fgmres->user_work[nwork]);CHKERRQ(ierr);
for (k=0; k < nalloc; k++) {
fgmres->vecs[it+VEC_OFFSET+k] = fgmres->user_work[nwork][k];
}
/* specify size of chunk allocated */
fgmres->mwork_alloc[nwork] = nalloc;
/* preconditioned vectors */
ierr = KSPGetVecs(ksp,nalloc,&fgmres->prevecs_user_work[nwork],0,NULL);CHKERRQ(ierr);
ierr = PetscLogObjectParents(ksp,nalloc,fgmres->prevecs_user_work[nwork]);CHKERRQ(ierr);
for (k=0; k < nalloc; k++) {
fgmres->prevecs[it+VEC_OFFSET+k] = fgmres->prevecs_user_work[nwork][k];
}
/* increment the number of work vector chunks */
fgmres->nwork_alloc++;
PetscFunctionReturn(0);
}
static PetscErrorCode KSPSetUp_LSQR(KSP ksp)
{
PetscErrorCode ierr;
KSP_LSQR *lsqr = (KSP_LSQR*)ksp->data;
PetscTruth nopreconditioner;
PetscFunctionBegin;
ierr = PetscTypeCompare((PetscObject)ksp->pc,PCNONE,&nopreconditioner);CHKERRQ(ierr);
if (ksp->pc_side == PC_SYMMETRIC){
SETERRQ(PETSC_ERR_SUP,"no symmetric preconditioning for KSPLSQR");
} else if (ksp->pc_side == PC_RIGHT){
SETERRQ(PETSC_ERR_SUP,"no right preconditioning for KSPLSQR");
}
/* nopreconditioner =PETSC_FALSE; */
lsqr->nwork_m = 2;
if (lsqr->vwork_m) {
ierr = VecDestroyVecs(lsqr->vwork_m,lsqr->nwork_m);CHKERRQ(ierr);
}
if (nopreconditioner) {
lsqr->nwork_n = 4;
} else {
lsqr->nwork_n = 5;
}
if (lsqr->vwork_n) {
ierr = VecDestroyVecs(lsqr->vwork_n,lsqr->nwork_n);CHKERRQ(ierr);
}
ierr = KSPGetVecs(ksp,lsqr->nwork_n,&lsqr->vwork_n,lsqr->nwork_m,&lsqr->vwork_m);CHKERRQ(ierr);
if (lsqr->se_flg && !lsqr->se){
/* lsqr->se is not set by user, get it from pmat */
Vec *se;
ierr = KSPGetVecs(ksp,1,&se,0,PETSC_NULL);CHKERRQ(ierr);
lsqr->se = *se;
ierr = PetscFree(se);CHKERRQ(ierr);
}
PetscFunctionReturn(0);
}
PetscErrorCode KSPSetUp_FGMRES(KSP ksp)
{
PetscErrorCode ierr;
PetscInt max_k,k;
KSP_FGMRES *fgmres = (KSP_FGMRES*)ksp->data;
PetscFunctionBegin;
max_k = fgmres->max_k;
ierr = KSPSetUp_GMRES(ksp);CHKERRQ(ierr);
ierr = PetscMalloc1((VEC_OFFSET+2+max_k),&fgmres->prevecs);CHKERRQ(ierr);
ierr = PetscMalloc1((VEC_OFFSET+2+max_k),&fgmres->prevecs_user_work);CHKERRQ(ierr);
ierr = PetscLogObjectMemory((PetscObject)ksp,(VEC_OFFSET+2+max_k)*(2*sizeof(void*)));CHKERRQ(ierr);
ierr = KSPGetVecs(ksp,fgmres->vv_allocated,&fgmres->prevecs_user_work[0],0,NULL);CHKERRQ(ierr);
ierr = PetscLogObjectParents(ksp,fgmres->vv_allocated,fgmres->prevecs_user_work[0]);CHKERRQ(ierr);
for (k=0; k < fgmres->vv_allocated; k++) {
fgmres->prevecs[k] = fgmres->prevecs_user_work[0][k];
}
PetscFunctionReturn(0);
}
PetscErrorCode KSPSetUp_GMRES(KSP ksp)
{
PetscInt hh,hes,rs,cc;
PetscErrorCode ierr;
PetscInt max_k,k;
KSP_GMRES *gmres = (KSP_GMRES*)ksp->data;
PetscFunctionBegin;
max_k = gmres->max_k; /* restart size */
hh = (max_k + 2) * (max_k + 1);
hes = (max_k + 1) * (max_k + 1);
rs = (max_k + 2);
cc = (max_k + 1);
ierr = PetscMalloc5(hh,PetscScalar,&gmres->hh_origin,hes,PetscScalar,&gmres->hes_origin,rs,PetscScalar,&gmres->rs_origin,cc,PetscScalar,&gmres->cc_origin,cc,PetscScalar,&gmres->ss_origin);CHKERRQ(ierr);
ierr = PetscMemzero(gmres->hh_origin,hh*sizeof(PetscScalar));CHKERRQ(ierr);
ierr = PetscMemzero(gmres->hes_origin,hes*sizeof(PetscScalar));CHKERRQ(ierr);
ierr = PetscMemzero(gmres->rs_origin,rs*sizeof(PetscScalar));CHKERRQ(ierr);
ierr = PetscMemzero(gmres->cc_origin,cc*sizeof(PetscScalar));CHKERRQ(ierr);
ierr = PetscMemzero(gmres->ss_origin,cc*sizeof(PetscScalar));CHKERRQ(ierr);
ierr = PetscLogObjectMemory(ksp,(hh + hes + rs + 2*cc)*sizeof(PetscScalar));CHKERRQ(ierr);
if (ksp->calc_sings) {
/* Allocate workspace to hold Hessenberg matrix needed by lapack */
ierr = PetscMalloc((max_k + 3)*(max_k + 9)*sizeof(PetscScalar),&gmres->Rsvd);CHKERRQ(ierr);
ierr = PetscLogObjectMemory(ksp,(max_k + 3)*(max_k + 9)*sizeof(PetscScalar));CHKERRQ(ierr);
ierr = PetscMalloc(6*(max_k+2)*sizeof(PetscReal),&gmres->Dsvd);CHKERRQ(ierr);
ierr = PetscLogObjectMemory(ksp,6*(max_k+2)*sizeof(PetscReal));CHKERRQ(ierr);
}
/* Allocate array to hold pointers to user vectors. Note that we need
4 + max_k + 1 (since we need it+1 vectors, and it <= max_k) */
gmres->vecs_allocated = VEC_OFFSET + 2 + max_k + gmres->nextra_vecs;
ierr = PetscMalloc((gmres->vecs_allocated)*sizeof(Vec),&gmres->vecs);CHKERRQ(ierr);
ierr = PetscMalloc((VEC_OFFSET+2+max_k)*sizeof(Vec*),&gmres->user_work);CHKERRQ(ierr);
ierr = PetscMalloc((VEC_OFFSET+2+max_k)*sizeof(PetscInt),&gmres->mwork_alloc);CHKERRQ(ierr);
ierr = PetscLogObjectMemory(ksp,(VEC_OFFSET+2+max_k)*(sizeof(Vec*)+sizeof(PetscInt)) + gmres->vecs_allocated*sizeof(Vec));CHKERRQ(ierr);
if (gmres->q_preallocate) {
gmres->vv_allocated = VEC_OFFSET + 2 + max_k;
ierr = KSPGetVecs(ksp,gmres->vv_allocated,&gmres->user_work[0],0,NULL);CHKERRQ(ierr);
ierr = PetscLogObjectParents(ksp,gmres->vv_allocated,gmres->user_work[0]);CHKERRQ(ierr);
gmres->mwork_alloc[0] = gmres->vv_allocated;
gmres->nwork_alloc = 1;
for (k=0; k<gmres->vv_allocated; k++) {
gmres->vecs[k] = gmres->user_work[0][k];
}
} else {
gmres->vv_allocated = 5;
ierr = KSPGetVecs(ksp,5,&gmres->user_work[0],0,NULL);CHKERRQ(ierr);
ierr = PetscLogObjectParents(ksp,5,gmres->user_work[0]);CHKERRQ(ierr);
gmres->mwork_alloc[0] = 5;
gmres->nwork_alloc = 1;
for (k=0; k<gmres->vv_allocated; k++) {
gmres->vecs[k] = gmres->user_work[0][k];
}
}
PetscFunctionReturn(0);
}
PetscErrorCode PCSetUp_MG(PC pc)
{
PC_MG *mg = (PC_MG*)pc->data;
PC_MG_Levels **mglevels = mg->levels;
PetscErrorCode ierr;
PetscInt i,n = mglevels[0]->levels;
PC cpc;
PetscBool preonly,lu,redundant,cholesky,svd,dump = PETSC_FALSE,opsset,use_amat;
Mat dA,dB;
MatStructure uflag;
Vec tvec;
DM *dms;
PetscViewer viewer = 0;
PetscFunctionBegin;
/* FIX: Move this to PCSetFromOptions_MG? */
if (mg->usedmfornumberoflevels) {
PetscInt levels;
ierr = DMGetRefineLevel(pc->dm,&levels);
CHKERRQ(ierr);
levels++;
if (levels > n) { /* the problem is now being solved on a finer grid */
ierr = PCMGSetLevels(pc,levels,NULL);
CHKERRQ(ierr);
n = levels;
ierr = PCSetFromOptions(pc);
CHKERRQ(ierr); /* it is bad to call this here, but otherwise will never be called for the new hierarchy */
mglevels = mg->levels;
}
}
ierr = KSPGetPC(mglevels[0]->smoothd,&cpc);
CHKERRQ(ierr);
/* If user did not provide fine grid operators OR operator was not updated since last global KSPSetOperators() */
/* so use those from global PC */
/* Is this what we always want? What if user wants to keep old one? */
ierr = KSPGetOperatorsSet(mglevels[n-1]->smoothd,NULL,&opsset);
CHKERRQ(ierr);
if (opsset) {
Mat mmat;
ierr = KSPGetOperators(mglevels[n-1]->smoothd,NULL,&mmat,NULL);
CHKERRQ(ierr);
if (mmat == pc->pmat) opsset = PETSC_FALSE;
}
if (!opsset) {
ierr = PCGetUseAmat(pc,&use_amat);
CHKERRQ(ierr);
if(use_amat) {
ierr = PetscInfo(pc,"Using outer operators to define finest grid operator \n because PCMGGetSmoother(pc,nlevels-1,&ksp);KSPSetOperators(ksp,...); was not called.\n");
CHKERRQ(ierr);
ierr = KSPSetOperators(mglevels[n-1]->smoothd,pc->mat,pc->pmat,pc->flag);
CHKERRQ(ierr);
}
else {
ierr = PetscInfo(pc,"Using matrix (pmat) operators to define finest grid operator \n because PCMGGetSmoother(pc,nlevels-1,&ksp);KSPSetOperators(ksp,...); was not called.\n");
CHKERRQ(ierr);
ierr = KSPSetOperators(mglevels[n-1]->smoothd,pc->pmat,pc->pmat,pc->flag);
CHKERRQ(ierr);
}
}
/* Skipping this for galerkin==2 (externally managed hierarchy such as ML and GAMG). Cleaner logic here would be great. Wrap ML/GAMG as DMs? */
if (pc->dm && mg->galerkin != 2 && !pc->setupcalled) {
/* construct the interpolation from the DMs */
Mat p;
Vec rscale;
ierr = PetscMalloc(n*sizeof(DM),&dms);
CHKERRQ(ierr);
dms[n-1] = pc->dm;
for (i=n-2; i>-1; i--) {
DMKSP kdm;
ierr = DMCoarsen(dms[i+1],MPI_COMM_NULL,&dms[i]);
CHKERRQ(ierr);
ierr = KSPSetDM(mglevels[i]->smoothd,dms[i]);
CHKERRQ(ierr);
if (mg->galerkin) {
ierr = KSPSetDMActive(mglevels[i]->smoothd,PETSC_FALSE);
CHKERRQ(ierr);
}
ierr = DMGetDMKSPWrite(dms[i],&kdm);
CHKERRQ(ierr);
/* Ugly hack so that the next KSPSetUp() will use the RHS that we set. A better fix is to change dmActive to take
* a bitwise OR of computing the matrix, RHS, and initial iterate. */
kdm->ops->computerhs = NULL;
kdm->rhsctx = NULL;
if (!mglevels[i+1]->interpolate) {
ierr = DMCreateInterpolation(dms[i],dms[i+1],&p,&rscale);
CHKERRQ(ierr);
ierr = PCMGSetInterpolation(pc,i+1,p);
CHKERRQ(ierr);
if (rscale) {
ierr = PCMGSetRScale(pc,i+1,rscale);
CHKERRQ(ierr);
}
ierr = VecDestroy(&rscale);
CHKERRQ(ierr);
ierr = MatDestroy(&p);
CHKERRQ(ierr);
}
}
for (i=n-2; i>-1; i--) {
ierr = DMDestroy(&dms[i]);
CHKERRQ(ierr);
}
ierr = PetscFree(dms);
CHKERRQ(ierr);
}
if (pc->dm && !pc->setupcalled) {
/* finest smoother also gets DM but it is not active, independent of whether galerkin==2 */
ierr = KSPSetDM(mglevels[n-1]->smoothd,pc->dm);
CHKERRQ(ierr);
ierr = KSPSetDMActive(mglevels[n-1]->smoothd,PETSC_FALSE);
CHKERRQ(ierr);
}
if (mg->galerkin == 1) {
Mat B;
/* currently only handle case where mat and pmat are the same on coarser levels */
ierr = KSPGetOperators(mglevels[n-1]->smoothd,&dA,&dB,&uflag);
CHKERRQ(ierr);
if (!pc->setupcalled) {
for (i=n-2; i>-1; i--) {
ierr = MatPtAP(dB,mglevels[i+1]->interpolate,MAT_INITIAL_MATRIX,1.0,&B);
CHKERRQ(ierr);
ierr = KSPSetOperators(mglevels[i]->smoothd,B,B,uflag);
CHKERRQ(ierr);
if (i != n-2) {
ierr = PetscObjectDereference((PetscObject)dB);
CHKERRQ(ierr);
}
dB = B;
}
if (n > 1) {
ierr = PetscObjectDereference((PetscObject)dB);
CHKERRQ(ierr);
}
} else {
for (i=n-2; i>-1; i--) {
ierr = KSPGetOperators(mglevels[i]->smoothd,NULL,&B,NULL);
CHKERRQ(ierr);
ierr = MatPtAP(dB,mglevels[i+1]->interpolate,MAT_REUSE_MATRIX,1.0,&B);
CHKERRQ(ierr);
ierr = KSPSetOperators(mglevels[i]->smoothd,B,B,uflag);
CHKERRQ(ierr);
dB = B;
}
}
} else if (!mg->galerkin && pc->dm && pc->dm->x) {
/* need to restrict Jacobian location to coarser meshes for evaluation */
for (i=n-2; i>-1; i--) {
Mat R;
Vec rscale;
if (!mglevels[i]->smoothd->dm->x) {
Vec *vecs;
ierr = KSPGetVecs(mglevels[i]->smoothd,1,&vecs,0,NULL);
CHKERRQ(ierr);
mglevels[i]->smoothd->dm->x = vecs[0];
ierr = PetscFree(vecs);
CHKERRQ(ierr);
}
ierr = PCMGGetRestriction(pc,i+1,&R);
CHKERRQ(ierr);
ierr = PCMGGetRScale(pc,i+1,&rscale);
CHKERRQ(ierr);
ierr = MatRestrict(R,mglevels[i+1]->smoothd->dm->x,mglevels[i]->smoothd->dm->x);
CHKERRQ(ierr);
ierr = VecPointwiseMult(mglevels[i]->smoothd->dm->x,mglevels[i]->smoothd->dm->x,rscale);
CHKERRQ(ierr);
}
}
if (!mg->galerkin && pc->dm) {
for (i=n-2; i>=0; i--) {
DM dmfine,dmcoarse;
Mat Restrict,Inject;
Vec rscale;
ierr = KSPGetDM(mglevels[i+1]->smoothd,&dmfine);
CHKERRQ(ierr);
ierr = KSPGetDM(mglevels[i]->smoothd,&dmcoarse);
CHKERRQ(ierr);
ierr = PCMGGetRestriction(pc,i+1,&Restrict);
CHKERRQ(ierr);
ierr = PCMGGetRScale(pc,i+1,&rscale);
CHKERRQ(ierr);
Inject = NULL; /* Callback should create it if it needs Injection */
ierr = DMRestrict(dmfine,Restrict,rscale,Inject,dmcoarse);
CHKERRQ(ierr);
}
}
if (!pc->setupcalled) {
for (i=0; i<n; i++) {
ierr = KSPSetFromOptions(mglevels[i]->smoothd);
CHKERRQ(ierr);
}
for (i=1; i<n; i++) {
if (mglevels[i]->smoothu && (mglevels[i]->smoothu != mglevels[i]->smoothd)) {
ierr = KSPSetFromOptions(mglevels[i]->smoothu);
CHKERRQ(ierr);
}
}
for (i=1; i<n; i++) {
ierr = PCMGGetInterpolation(pc,i,&mglevels[i]->interpolate);
CHKERRQ(ierr);
ierr = PCMGGetRestriction(pc,i,&mglevels[i]->restrct);
CHKERRQ(ierr);
}
for (i=0; i<n-1; i++) {
if (!mglevels[i]->b) {
Vec *vec;
ierr = KSPGetVecs(mglevels[i]->smoothd,1,&vec,0,NULL);
CHKERRQ(ierr);
ierr = PCMGSetRhs(pc,i,*vec);
CHKERRQ(ierr);
ierr = VecDestroy(vec);
CHKERRQ(ierr);
ierr = PetscFree(vec);
CHKERRQ(ierr);
}
if (!mglevels[i]->r && i) {
ierr = VecDuplicate(mglevels[i]->b,&tvec);
CHKERRQ(ierr);
ierr = PCMGSetR(pc,i,tvec);
CHKERRQ(ierr);
ierr = VecDestroy(&tvec);
CHKERRQ(ierr);
}
if (!mglevels[i]->x) {
ierr = VecDuplicate(mglevels[i]->b,&tvec);
CHKERRQ(ierr);
ierr = PCMGSetX(pc,i,tvec);
CHKERRQ(ierr);
ierr = VecDestroy(&tvec);
CHKERRQ(ierr);
}
}
if (n != 1 && !mglevels[n-1]->r) {
/* PCMGSetR() on the finest level if user did not supply it */
Vec *vec;
ierr = KSPGetVecs(mglevels[n-1]->smoothd,1,&vec,0,NULL);
CHKERRQ(ierr);
ierr = PCMGSetR(pc,n-1,*vec);
CHKERRQ(ierr);
ierr = VecDestroy(vec);
CHKERRQ(ierr);
ierr = PetscFree(vec);
CHKERRQ(ierr);
}
}
if (pc->dm) {
/* need to tell all the coarser levels to rebuild the matrix using the DM for that level */
for (i=0; i<n-1; i++) {
if (mglevels[i]->smoothd->setupstage != KSP_SETUP_NEW) mglevels[i]->smoothd->setupstage = KSP_SETUP_NEWMATRIX;
}
}
for (i=1; i<n; i++) {
if (mglevels[i]->smoothu == mglevels[i]->smoothd) {
/* if doing only down then initial guess is zero */
ierr = KSPSetInitialGuessNonzero(mglevels[i]->smoothd,PETSC_TRUE);
CHKERRQ(ierr);
}
if (mglevels[i]->eventsmoothsetup) {
ierr = PetscLogEventBegin(mglevels[i]->eventsmoothsetup,0,0,0,0);
CHKERRQ(ierr);
}
ierr = KSPSetUp(mglevels[i]->smoothd);
CHKERRQ(ierr);
if (mglevels[i]->eventsmoothsetup) {
ierr = PetscLogEventEnd(mglevels[i]->eventsmoothsetup,0,0,0,0);
CHKERRQ(ierr);
}
if (!mglevels[i]->residual) {
Mat mat;
ierr = KSPGetOperators(mglevels[i]->smoothd,NULL,&mat,NULL);
CHKERRQ(ierr);
ierr = PCMGSetResidual(pc,i,PCMGResidual_Default,mat);
CHKERRQ(ierr);
}
}
for (i=1; i<n; i++) {
if (mglevels[i]->smoothu && mglevels[i]->smoothu != mglevels[i]->smoothd) {
Mat downmat,downpmat;
MatStructure matflag;
/* check if operators have been set for up, if not use down operators to set them */
ierr = KSPGetOperatorsSet(mglevels[i]->smoothu,&opsset,NULL);
CHKERRQ(ierr);
if (!opsset) {
ierr = KSPGetOperators(mglevels[i]->smoothd,&downmat,&downpmat,&matflag);
CHKERRQ(ierr);
ierr = KSPSetOperators(mglevels[i]->smoothu,downmat,downpmat,matflag);
CHKERRQ(ierr);
}
ierr = KSPSetInitialGuessNonzero(mglevels[i]->smoothu,PETSC_TRUE);
CHKERRQ(ierr);
if (mglevels[i]->eventsmoothsetup) {
ierr = PetscLogEventBegin(mglevels[i]->eventsmoothsetup,0,0,0,0);
CHKERRQ(ierr);
}
ierr = KSPSetUp(mglevels[i]->smoothu);
CHKERRQ(ierr);
if (mglevels[i]->eventsmoothsetup) {
ierr = PetscLogEventEnd(mglevels[i]->eventsmoothsetup,0,0,0,0);
CHKERRQ(ierr);
}
}
}
/*
If coarse solver is not direct method then DO NOT USE preonly
*/
ierr = PetscObjectTypeCompare((PetscObject)mglevels[0]->smoothd,KSPPREONLY,&preonly);
CHKERRQ(ierr);
if (preonly) {
ierr = PetscObjectTypeCompare((PetscObject)cpc,PCLU,&lu);
CHKERRQ(ierr);
ierr = PetscObjectTypeCompare((PetscObject)cpc,PCREDUNDANT,&redundant);
CHKERRQ(ierr);
ierr = PetscObjectTypeCompare((PetscObject)cpc,PCCHOLESKY,&cholesky);
CHKERRQ(ierr);
ierr = PetscObjectTypeCompare((PetscObject)cpc,PCSVD,&svd);
CHKERRQ(ierr);
if (!lu && !redundant && !cholesky && !svd) {
ierr = KSPSetType(mglevels[0]->smoothd,KSPGMRES);
CHKERRQ(ierr);
}
}
if (!pc->setupcalled) {
ierr = KSPSetFromOptions(mglevels[0]->smoothd);
CHKERRQ(ierr);
}
if (mglevels[0]->eventsmoothsetup) {
ierr = PetscLogEventBegin(mglevels[0]->eventsmoothsetup,0,0,0,0);
CHKERRQ(ierr);
}
ierr = KSPSetUp(mglevels[0]->smoothd);
CHKERRQ(ierr);
if (mglevels[0]->eventsmoothsetup) {
ierr = PetscLogEventEnd(mglevels[0]->eventsmoothsetup,0,0,0,0);
CHKERRQ(ierr);
}
/*
Dump the interpolation/restriction matrices plus the
Jacobian/stiffness on each level. This allows MATLAB users to
easily check if the Galerkin condition A_c = R A_f R^T is satisfied.
Only support one or the other at the same time.
*/
#if defined(PETSC_USE_SOCKET_VIEWER)
ierr = PetscOptionsGetBool(((PetscObject)pc)->prefix,"-pc_mg_dump_matlab",&dump,NULL);
CHKERRQ(ierr);
if (dump) viewer = PETSC_VIEWER_SOCKET_(PetscObjectComm((PetscObject)pc));
dump = PETSC_FALSE;
#endif
ierr = PetscOptionsGetBool(((PetscObject)pc)->prefix,"-pc_mg_dump_binary",&dump,NULL);
CHKERRQ(ierr);
if (dump) viewer = PETSC_VIEWER_BINARY_(PetscObjectComm((PetscObject)pc));
if (viewer) {
for (i=1; i<n; i++) {
ierr = MatView(mglevels[i]->restrct,viewer);
CHKERRQ(ierr);
}
for (i=0; i<n; i++) {
ierr = KSPGetPC(mglevels[i]->smoothd,&pc);
CHKERRQ(ierr);
ierr = MatView(pc->mat,viewer);
CHKERRQ(ierr);
}
}
PetscFunctionReturn(0);
}