Actual source code: dmadapt.c
petsc-3.10.5 2019-03-28
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      1:  #include <petscdmadaptor.h>
      2:  #include <petscdmplex.h>
      3:  #include <petscdmforest.h>
      4:  #include <petscds.h>
      5:  #include <petscblaslapack.h>

      7:  #include <petsc/private/dmadaptorimpl.h>
      8:  #include <petsc/private/dmpleximpl.h>
      9:  #include <petsc/private/petscfeimpl.h>

     11: static PetscErrorCode DMAdaptorSimpleErrorIndicator_Private(DMAdaptor, PetscInt, PetscInt, const PetscScalar *, const PetscScalar *, const PetscFVCellGeom *, PetscReal *, void *);

     13: static PetscErrorCode DMAdaptorTransferSolution_Exact_Private(DMAdaptor adaptor, DM dm, Vec u, DM adm, Vec au, void *ctx)
     14: {

     18:   DMProjectFunction(adm, 0.0, adaptor->exactSol, (void **) ctx, INSERT_ALL_VALUES, au);
     19:   return(0);
     20: }

     22: /*@
     23:   DMAdaptorCreate - Create a DMAdaptor object. Its purpose is to construct a adaptation DMLabel or metric Vec that can be used to modify the DM.

     25:   Collective on MPI_Comm

     27:   Input Parameter:
     28: . comm - The communicator for the DMAdaptor object

     30:   Output Parameter:
     31: . adaptor   - The DMAdaptor object

     33:   Level: beginner

     35: .keywords: DMAdaptor, convergence, create
     36: .seealso: DMAdaptorDestroy(), DMAdaptorAdapt()
     37: @*/
     38: PetscErrorCode DMAdaptorCreate(MPI_Comm comm, DMAdaptor *adaptor)
     39: {
     40:   VecTaggerBox   refineBox, coarsenBox;

     45:   PetscSysInitializePackage();
     46:   PetscHeaderCreate(*adaptor, DM_CLASSID, "DMAdaptor", "DM Adaptor", "SNES", comm, DMAdaptorDestroy, DMAdaptorView);

     48:   (*adaptor)->monitor = PETSC_FALSE;
     49:   (*adaptor)->adaptCriterion = DM_ADAPTATION_NONE;
     50:   (*adaptor)->numSeq  = 1;
     51:   (*adaptor)->Nadapt  = -1;
     52:   (*adaptor)->refinementFactor = 2.0;
     53:   (*adaptor)->h_min = 1.;
     54:   (*adaptor)->h_max = 10000.;
     55:   (*adaptor)->ops->computeerrorindicator = DMAdaptorSimpleErrorIndicator_Private;
     56:   refineBox.min = refineBox.max = PETSC_MAX_REAL;
     57:   VecTaggerCreate(PetscObjectComm((PetscObject) *adaptor), &(*adaptor)->refineTag);
     58:   PetscObjectSetOptionsPrefix((PetscObject) (*adaptor)->refineTag, "refine_");
     59:   VecTaggerSetType((*adaptor)->refineTag, VECTAGGERABSOLUTE);
     60:   VecTaggerAbsoluteSetBox((*adaptor)->refineTag, &refineBox);
     61:   coarsenBox.min = coarsenBox.max = PETSC_MAX_REAL;
     62:   VecTaggerCreate(PetscObjectComm((PetscObject) *adaptor), &(*adaptor)->coarsenTag);
     63:   PetscObjectSetOptionsPrefix((PetscObject) (*adaptor)->coarsenTag, "coarsen_");
     64:   VecTaggerSetType((*adaptor)->coarsenTag, VECTAGGERABSOLUTE);
     65:   VecTaggerAbsoluteSetBox((*adaptor)->coarsenTag, &coarsenBox);
     66:   return(0);
     67: }

     69: /*@
     70:   DMAdaptorDestroy - Destroys a DMAdaptor object

     72:   Collective on DMAdaptor

     74:   Input Parameter:
     75: . adaptor - The DMAdaptor object

     77:   Level: beginner

     79: .keywords: DMAdaptor, convergence, destroy
     80: .seealso: DMAdaptorCreate(), DMAdaptorAdapt()
     81: @*/
     82: PetscErrorCode DMAdaptorDestroy(DMAdaptor *adaptor)
     83: {

     87:   if (!*adaptor) return(0);
     89:   if (--((PetscObject)(*adaptor))->refct > 0) {
     90:     *adaptor = NULL;
     91:     return(0);
     92:   }
     93:   VecTaggerDestroy(&(*adaptor)->refineTag);
     94:   VecTaggerDestroy(&(*adaptor)->coarsenTag);
     95:   PetscFree((*adaptor)->exactSol);
     96:   PetscHeaderDestroy(adaptor);
     97:   return(0);
     98: }

    100: /*@
    101:   DMAdaptorSetFromOptions - Sets a DMAdaptor object from options

    103:   Collective on DMAdaptor

    105:   Input Parameters:
    106: . adaptor - The DMAdaptor object

    108:   Options Database Keys:
    109: + -adaptor_monitor <bool>        : Monitor the adaptation process
    110: . -adaptor_sequence_num <num>    : Number of adaptations to generate an optimal grid
    111: . -adaptor_target_num <num>      : Set the target number of vertices N_adapt, -1 for automatic determination
    112: . -adaptor_refinement_factor <r> : Set r such that N_adapt = r^dim N_orig
    113: . -adaptor_metric_h_min <min>    : Set the minimum eigenvalue of Hessian (sqr max edge length)
    114: - -adaptor_metric_h_max <max>    : Set the maximum eigenvalue of Hessian (sqr min edge length)

    116:   Level: beginner

    118: .keywords: DMAdaptor, convergence, options
    119: .seealso: DMAdaptorCreate(), DMAdaptorAdapt()
    120: @*/
    121: PetscErrorCode DMAdaptorSetFromOptions(DMAdaptor adaptor)
    122: {

    126:   PetscOptionsBegin(PetscObjectComm((PetscObject) adaptor), "", "DM Adaptor Options", "DMAdaptor");
    127:   PetscOptionsBool("-adaptor_monitor", "Monitor the adaptation process", "DMAdaptorMonitor", adaptor->monitor, &adaptor->monitor, NULL);
    128:   PetscOptionsInt("-adaptor_sequence_num", "Number of adaptations to generate an optimal grid", "DMAdaptorSetSequenceLength", adaptor->numSeq, &adaptor->numSeq, NULL);
    129:   PetscOptionsInt("-adaptor_target_num", "Set the target number of vertices N_adapt, -1 for automatic determination", "DMAdaptor", adaptor->Nadapt, &adaptor->Nadapt, NULL);
    130:   PetscOptionsReal("-adaptor_refinement_factor", "Set r such that N_adapt = r^dim N_orig", "DMAdaptor", adaptor->refinementFactor, &adaptor->refinementFactor, NULL);
    131:   PetscOptionsReal("-adaptor_metric_h_min", "Set the minimum eigenvalue of Hessian (sqr max edge length)", "DMAdaptor", adaptor->h_min, &adaptor->h_min, NULL);
    132:   PetscOptionsReal("-adaptor_metric_h_max", "Set the maximum eigenvalue of Hessian (sqr min edge length)", "DMAdaptor", adaptor->h_max, &adaptor->h_max, NULL);
    133:   PetscOptionsEnd();
    134:   VecTaggerSetFromOptions(adaptor->refineTag);
    135:   VecTaggerSetFromOptions(adaptor->coarsenTag);
    136:   return(0);
    137: }

    139: /*@
    140:   DMAdaptorView - Views a DMAdaptor object

    142:   Collective on DMAdaptor

    144:   Input Parameters:
    145: + adaptor     - The DMAdaptor object
    146: - viewer - The PetscViewer object

    148:   Level: beginner

    150: .keywords: DMAdaptor, adaptivity, view
    151: .seealso: DMAdaptorCreate(), DMAdaptorAdapt()
    152: @*/
    153: PetscErrorCode DMAdaptorView(DMAdaptor adaptor, PetscViewer viewer)
    154: {

    158:   PetscObjectPrintClassNamePrefixType((PetscObject) adaptor, viewer);
    159:   PetscViewerASCIIPrintf(viewer, "DM Adaptor\n");
    160:   PetscViewerASCIIPrintf(viewer, "  sequence length: %D\n", adaptor->numSeq);
    161:   VecTaggerView(adaptor->refineTag,  viewer);
    162:   VecTaggerView(adaptor->coarsenTag, viewer);
    163:   return(0);
    164: }

    166: /*@
    167:   DMAdaptorGetSolver - Gets the solver used to produce discrete solutions

    169:   Not collective

    171:   Input Parameter:
    172: . adaptor   - The DMAdaptor object

    174:   Output Parameter:
    175: . snes - The solver

    177:   Level: intermediate

    179: .keywords: DMAdaptor, convergence
    180: .seealso: DMAdaptorSetSolver(), DMAdaptorCreate(), DMAdaptorAdapt()
    181: @*/
    182: PetscErrorCode DMAdaptorGetSolver(DMAdaptor adaptor, SNES *snes)
    183: {
    187:   *snes = adaptor->snes;
    188:   return(0);
    189: }

    191: /*@
    192:   DMAdaptorSetSolver - Sets the solver used to produce discrete solutions

    194:   Not collective

    196:   Input Parameters:
    197: + adaptor   - The DMAdaptor object
    198: - snes - The solver

    200:   Level: intermediate

    202:   Note: The solver MUST have an attached DM/DS, so that we know the exact solution

    204: .keywords: DMAdaptor, convergence
    205: .seealso: DMAdaptorGetSolver(), DMAdaptorCreate(), DMAdaptorAdapt()
    206: @*/
    207: PetscErrorCode DMAdaptorSetSolver(DMAdaptor adaptor, SNES snes)
    208: {

    214:   adaptor->snes = snes;
    215:   SNESGetDM(adaptor->snes, &adaptor->idm);
    216:   return(0);
    217: }

    219: /*@
    220:   DMAdaptorGetSequenceLength - Gets the number of sequential adaptations

    222:   Not collective

    224:   Input Parameter:
    225: . adaptor - The DMAdaptor object

    227:   Output Parameter:
    228: . num - The number of adaptations

    230:   Level: intermediate

    232: .keywords: DMAdaptor, convergence
    233: .seealso: DMAdaptorSetSequenceLength(), DMAdaptorCreate(), DMAdaptorAdapt()
    234: @*/
    235: PetscErrorCode DMAdaptorGetSequenceLength(DMAdaptor adaptor, PetscInt *num)
    236: {
    240:   *num = adaptor->numSeq;
    241:   return(0);
    242: }

    244: /*@
    245:   DMAdaptorSetSequenceLength - Sets the number of sequential adaptations

    247:   Not collective

    249:   Input Parameters:
    250: + adaptor - The DMAdaptor object
    251: - num - The number of adaptations

    253:   Level: intermediate

    255: .keywords: DMAdaptor, convergence
    256: .seealso: DMAdaptorGetSequenceLength(), DMAdaptorCreate(), DMAdaptorAdapt()
    257: @*/
    258: PetscErrorCode DMAdaptorSetSequenceLength(DMAdaptor adaptor, PetscInt num)
    259: {
    262:   adaptor->numSeq = num;
    263:   return(0);
    264: }

    266: /*@
    267:   DMAdaptorSetUp - After the solver is specified, we create structures for controlling adaptivity

    269:   Collective on DMAdaptor

    271:   Input Parameters:
    272: . adaptor - The DMAdaptor object

    274:   Level: beginner

    276: .keywords: DMAdaptor, convergence, setup
    277: .seealso: DMAdaptorCreate(), DMAdaptorAdapt()
    278: @*/
    279: PetscErrorCode DMAdaptorSetUp(DMAdaptor adaptor)
    280: {
    281:   PetscDS        prob;
    282:   PetscInt       Nf, f;

    286:   DMGetDS(adaptor->idm, &prob);
    287:   VecTaggerSetUp(adaptor->refineTag);
    288:   VecTaggerSetUp(adaptor->coarsenTag);
    289:   PetscDSGetNumFields(prob, &Nf);
    290:   PetscMalloc1(Nf, &adaptor->exactSol);
    291:   for (f = 0; f < Nf; ++f) {
    292:     PetscDSGetExactSolution(prob, f, &adaptor->exactSol[f]);
    293:     /* TODO Have a flag that forces projection rather than using the exact solution */
    294:     if (adaptor->exactSol[0]) {DMAdaptorSetTransferFunction(adaptor, DMAdaptorTransferSolution_Exact_Private);}
    295:   }
    296:   return(0);
    297: }

    299: PetscErrorCode DMAdaptorGetTransferFunction(DMAdaptor adaptor, PetscErrorCode (**tfunc)(DMAdaptor, DM, Vec, DM, Vec, void *))
    300: {
    302:   *tfunc = adaptor->ops->transfersolution;
    303:   return(0);
    304: }

    306: PetscErrorCode DMAdaptorSetTransferFunction(DMAdaptor adaptor, PetscErrorCode (*tfunc)(DMAdaptor, DM, Vec, DM, Vec, void *))
    307: {
    309:   adaptor->ops->transfersolution = tfunc;
    310:   return(0);
    311: }

    313: PetscErrorCode DMAdaptorPreAdapt(DMAdaptor adaptor, Vec locX)
    314: {
    315:   DM             plex;
    316:   PetscDS        prob;
    317:   PetscObject    obj;
    318:   PetscClassId   id;
    319:   PetscBool      isForest;

    323:   DMConvert(adaptor->idm, DMPLEX, &plex);
    324:   DMGetDS(adaptor->idm, &prob);
    325:   PetscDSGetDiscretization(prob, 0, &obj);
    326:   PetscObjectGetClassId(obj, &id);
    327:   DMIsForest(adaptor->idm, &isForest);
    328:   if (adaptor->adaptCriterion == DM_ADAPTATION_NONE) {
    329:     if (isForest) {adaptor->adaptCriterion = DM_ADAPTATION_LABEL;}
    330: #if defined(PETSC_HAVE_PRAGMATIC)
    331:     else          {adaptor->adaptCriterion = DM_ADAPTATION_METRIC;}
    332: #else
    333:     else          {adaptor->adaptCriterion = DM_ADAPTATION_REFINE;}
    334: #endif
    335:   }
    336:   if (id == PETSCFV_CLASSID) {adaptor->femType = PETSC_FALSE;}
    337:   else                       {adaptor->femType = PETSC_TRUE;}
    338:   if (adaptor->femType) {
    339:     /* Compute local solution bc */
    340:     DMPlexInsertBoundaryValues(plex, PETSC_TRUE, locX, 0.0, adaptor->faceGeom, adaptor->cellGeom, NULL);
    341:   } else {
    342:     PetscFV      fvm = (PetscFV) obj;
    343:     PetscLimiter noneLimiter;
    344:     Vec          grad;

    346:     PetscFVGetComputeGradients(fvm, &adaptor->computeGradient);
    347:     PetscFVSetComputeGradients(fvm, PETSC_TRUE);
    348:     /* Use no limiting when reconstructing gradients for adaptivity */
    349:     PetscFVGetLimiter(fvm, &adaptor->limiter);
    350:     PetscObjectReference((PetscObject) adaptor->limiter);
    351:     PetscLimiterCreate(PetscObjectComm((PetscObject) fvm), &noneLimiter);
    352:     PetscLimiterSetType(noneLimiter, PETSCLIMITERNONE);
    353:     PetscFVSetLimiter(fvm, noneLimiter);
    354:     /* Get FVM data */
    355:     DMPlexGetDataFVM(plex, fvm, &adaptor->cellGeom, &adaptor->faceGeom, &adaptor->gradDM);
    356:     VecGetDM(adaptor->cellGeom, &adaptor->cellDM);
    357:     VecGetArrayRead(adaptor->cellGeom, &adaptor->cellGeomArray);
    358:     /* Compute local solution bc */
    359:     DMPlexInsertBoundaryValues(plex, PETSC_TRUE, locX, 0.0, adaptor->faceGeom, adaptor->cellGeom, NULL);
    360:     /* Compute gradients */
    361:     DMCreateGlobalVector(adaptor->gradDM, &grad);
    362:     DMPlexReconstructGradientsFVM(plex, locX, grad);
    363:     DMGetLocalVector(adaptor->gradDM, &adaptor->cellGrad);
    364:     DMGlobalToLocalBegin(adaptor->gradDM, grad, INSERT_VALUES, adaptor->cellGrad);
    365:     DMGlobalToLocalEnd(adaptor->gradDM, grad, INSERT_VALUES, adaptor->cellGrad);
    366:     VecDestroy(&grad);
    367:     VecGetArrayRead(adaptor->cellGrad, &adaptor->cellGradArray);
    368:   }
    369:   DMDestroy(&plex);
    370:   return(0);
    371: }

    373: PetscErrorCode DMAdaptorTransferSolution(DMAdaptor adaptor, DM dm, Vec x, DM adm, Vec ax)
    374: {
    375:   PetscReal      time = 0.0;
    376:   Mat            interp;
    377:   void          *ctx;

    381:   DMGetApplicationContext(dm, &ctx);
    382:   if (adaptor->ops->transfersolution) {
    383:     (*adaptor->ops->transfersolution)(adaptor, dm, x, adm, ax, ctx);
    384:   } else {
    385:     switch (adaptor->adaptCriterion) {
    386:     case DM_ADAPTATION_LABEL:
    387:       DMForestTransferVec(dm, x, adm, ax, PETSC_TRUE, time);
    388:       break;
    389:     case DM_ADAPTATION_REFINE:
    390:     case DM_ADAPTATION_METRIC:
    391:       DMCreateInterpolation(dm, adm, &interp, NULL);
    392:       MatInterpolate(interp, x, ax);
    393:       DMInterpolate(dm, interp, adm);
    394:       MatDestroy(&interp);
    395:       break;
    396:     default: SETERRQ1(PetscObjectComm((PetscObject) adaptor), PETSC_ERR_SUP, "No built-in projection for this adaptation criterion: %D", adaptor->adaptCriterion);
    397:     }
    398:   }
    399:   return(0);
    400: }

    402: PetscErrorCode DMAdaptorPostAdapt(DMAdaptor adaptor)
    403: {
    404:   PetscDS        prob;
    405:   PetscObject    obj;
    406:   PetscClassId   id;

    410:   DMGetDS(adaptor->idm, &prob);
    411:   PetscDSGetDiscretization(prob, 0, &obj);
    412:   PetscObjectGetClassId(obj, &id);
    413:   if (id == PETSCFV_CLASSID) {
    414:     PetscFV fvm = (PetscFV) obj;

    416:     PetscFVSetComputeGradients(fvm, adaptor->computeGradient);
    417:     /* Restore original limiter */
    418:     PetscFVSetLimiter(fvm, adaptor->limiter);

    420:     VecRestoreArrayRead(adaptor->cellGeom, &adaptor->cellGeomArray);
    421:     VecRestoreArrayRead(adaptor->cellGrad, &adaptor->cellGradArray);
    422:     DMRestoreLocalVector(adaptor->gradDM, &adaptor->cellGrad);
    423:   }
    424:   return(0);
    425: }

    427: static PetscErrorCode DMAdaptorModifyHessian_Private(PetscInt dim, PetscReal h_min, PetscReal h_max, PetscScalar Hp[])
    428: {
    429:   PetscScalar   *Hpos;
    430:   PetscReal     *eigs;
    431:   PetscInt       i, j, k;

    435:   PetscMalloc2(dim*dim, &Hpos, dim, &eigs);
    436: #if 0
    437:   PetscPrintf(PETSC_COMM_SELF, "H = [");
    438:   for (i = 0; i < dim; ++i) {
    439:     if (i > 0) {PetscPrintf(PETSC_COMM_SELF, "     ");}
    440:     for (j = 0; j < dim; ++j) {
    441:       if (j > 0) {PetscPrintf(PETSC_COMM_SELF, ", ");}
    442:       PetscPrintf(PETSC_COMM_SELF, "%g", Hp[i*dim+j]);
    443:     }
    444:     PetscPrintf(PETSC_COMM_SELF, "\n");
    445:   }
    446:   PetscPrintf(PETSC_COMM_SELF, "]\n");
    447: #endif
    448:   /* Symmetrize */
    449:   for (i = 0; i < dim; ++i) {
    450:     Hpos[i*dim+i] = Hp[i*dim+i];
    451:     for (j = i+1; j < dim; ++j) {
    452:       Hpos[i*dim+j] = 0.5*(Hp[i*dim+j] + Hp[j*dim+i]);
    453:       Hpos[j*dim+i] = Hpos[i*dim+j];
    454:     }
    455:   }
    456: #if 0
    457:   PetscPrintf(PETSC_COMM_SELF, "Hs = [");
    458:   for (i = 0; i < dim; ++i) {
    459:     if (i > 0) {PetscPrintf(PETSC_COMM_SELF, "      ");}
    460:     for (j = 0; j < dim; ++j) {
    461:       if (j > 0) {PetscPrintf(PETSC_COMM_SELF, ", ");}
    462:       PetscPrintf(PETSC_COMM_SELF, "%g", Hpos[i*dim+j]);
    463:     }
    464:     PetscPrintf(PETSC_COMM_SELF, "\n");
    465:   }
    466:   PetscPrintf(PETSC_COMM_SELF, "]\n");
    467: #endif
    468:   /* Compute eigendecomposition */
    469:   {
    470:     PetscScalar  *work;
    471:     PetscBLASInt lwork;

    473:     lwork = 5*dim;
    474:     PetscMalloc1(5*dim, &work);
    475: #if defined(PETSC_MISSING_LAPACK_GEEV)
    476:     SETERRQ(PetscObjectComm((PetscObject) dm), PETSC_ERR_SUP, "GEEV - Lapack routine is unavailable\nNot able to provide eigen values.");
    477: #else
    478:     {
    479:       PetscBLASInt lierr;
    480:       PetscBLASInt nb;

    482:       PetscBLASIntCast(dim, &nb);
    483:       PetscFPTrapPush(PETSC_FP_TRAP_OFF);
    484: #if defined(PETSC_USE_COMPLEX)
    485:       {
    486:         PetscReal *rwork;
    487:         PetscMalloc1(3*dim, &rwork);
    488:         PetscStackCallBLAS("LAPACKsyev",LAPACKsyev_("V","U",&nb,Hpos,&nb,eigs,work,&lwork,rwork,&lierr));
    489:         PetscFree(rwork);
    490:       }
    491: #else
    492:       PetscStackCallBLAS("LAPACKsyev",LAPACKsyev_("V","U",&nb,Hpos,&nb,eigs,work,&lwork,&lierr));
    493: #endif
    494:       if (lierr) SETERRQ1(PETSC_COMM_SELF, PETSC_ERR_LIB, "Error in LAPACK routine %d", (int) lierr);
    495:       PetscFPTrapPop();
    496:     }
    497: #endif
    498:     PetscFree(work);
    499:   }
    500: #if 0
    501:   PetscPrintf(PETSC_COMM_SELF, "L = [");
    502:   for (i = 0; i < dim; ++i) {
    503:     if (i > 0) {PetscPrintf(PETSC_COMM_SELF, ", ");}
    504:     PetscPrintf(PETSC_COMM_SELF, "%g", eigs[i]);
    505:   }
    506:   PetscPrintf(PETSC_COMM_SELF, "]\n");
    507:   PetscPrintf(PETSC_COMM_SELF, "Q = [");
    508:   for (i = 0; i < dim; ++i) {
    509:     if (i > 0) {PetscPrintf(PETSC_COMM_SELF, "     ");}
    510:     for (j = 0; j < dim; ++j) {
    511:       if (j > 0) {PetscPrintf(PETSC_COMM_SELF, ", ");}
    512:       PetscPrintf(PETSC_COMM_SELF, "%g", Hpos[i*dim+j]);
    513:     }
    514:     PetscPrintf(PETSC_COMM_SELF, "\n");
    515:   }
    516:   PetscPrintf(PETSC_COMM_SELF, "]\n");
    517: #endif
    518:   /* Reflect to positive orthant, enforce maximum and minimum size, \lambda \propto 1/h^2
    519:        TODO get domain bounding box */
    520:   for (i = 0; i < dim; ++i) eigs[i] = PetscMin(h_max, PetscMax(h_min, PetscAbsReal(eigs[i])));
    521:   /* Reconstruct Hessian */
    522:   for (i = 0; i < dim; ++i) {
    523:     for (j = 0; j < dim; ++j) {
    524:       Hp[i*dim+j] = 0.0;
    525:       for (k = 0; k < dim; ++k) {
    526:         Hp[i*dim+j] += Hpos[k*dim+i] * eigs[k] * Hpos[k*dim+j];
    527:       }
    528:     }
    529:   }
    530:   PetscFree2(Hpos, eigs);
    531: #if 0
    532:   PetscPrintf(PETSC_COMM_SELF, "H+ = [");
    533:   for (i = 0; i < dim; ++i) {
    534:     if (i > 0) {PetscPrintf(PETSC_COMM_SELF, "      ");}
    535:     for (j = 0; j < dim; ++j) {
    536:       if (j > 0) {PetscPrintf(PETSC_COMM_SELF, ", ");}
    537:       PetscPrintf(PETSC_COMM_SELF, "%g", Hp[i*dim+j]);
    538:     }
    539:     PetscPrintf(PETSC_COMM_SELF, "\n");
    540:   }
    541:   PetscPrintf(PETSC_COMM_SELF, "]\n");
    542: #endif
    543:   return(0);
    544: }

    546: static void detHFunc(PetscInt dim, PetscInt Nf, PetscInt NfAux,
    547:                      const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[],
    548:                      const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[],
    549:                      PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
    550: {
    551:   const PetscInt p = 1;
    552:   PetscReal      detH = 0.0;

    554:   if      (dim == 2) DMPlex_Det2D_Scalar_Internal(&detH, u);
    555:   else if (dim == 3) DMPlex_Det3D_Scalar_Internal(&detH, u);
    556:   f0[0] = PetscPowReal(detH, p/(2.*p + dim));
    557: }

    559: /*
    560:   DMAdaptorSimpleErrorIndicator - Just use the integrated gradient as an error indicator

    562:   Input Parameters:
    563: + adaptor  - The DMAdaptor object
    564: . dim      - The topological dimension
    565: . cell     - The cell
    566: . field    - The field integrated over the cell
    567: . gradient - The gradient integrated over the cell
    568: . cg       - A PetscFVCellGeom struct
    569: - ctx      - A user context

    571:   Output Parameter:
    572: . errInd   - The error indicator

    574: .seealso: DMAdaptorComputeErrorIndicator()
    575: */
    576: static PetscErrorCode DMAdaptorSimpleErrorIndicator_Private(DMAdaptor adaptor, PetscInt dim, PetscInt Nc, const PetscScalar *field, const PetscScalar *gradient, const PetscFVCellGeom *cg, PetscReal *errInd, void *ctx)
    577: {
    578:   PetscReal err = 0.;
    579:   PetscInt  c, d;

    582:   for (c = 0; c < Nc; c++) {
    583:     for (d = 0; d < dim; ++d) {
    584:       err += PetscSqr(PetscRealPart(gradient[c*dim+d]));
    585:     }
    586:   }
    587:   *errInd = cg->volume * err;
    588:   return(0);
    589: }

    591: static PetscErrorCode DMAdaptorComputeErrorIndicator_Private(DMAdaptor adaptor, DM plex, PetscInt cell, Vec locX, PetscReal *errInd)
    592: {
    593:   PetscDS         prob;
    594:   PetscObject     obj;
    595:   PetscClassId    id;
    596:   void           *ctx;
    597:   PetscQuadrature quad;
    598:   PetscInt        dim, d, cdim, Nc;
    599:   PetscErrorCode  ierr;

    602:   *errInd = 0.;
    603:   DMGetDimension(plex, &dim);
    604:   DMGetCoordinateDim(plex, &cdim);
    605:   DMGetApplicationContext(plex, &ctx);
    606:   DMGetDS(plex, &prob);
    607:   PetscDSGetDiscretization(prob, 0, &obj);
    608:   PetscObjectGetClassId(obj, &id);
    609:   if (id == PETSCFV_CLASSID) {
    610:     const PetscScalar *pointSols;
    611:     const PetscScalar *pointSol;
    612:     const PetscScalar *pointGrad;
    613:     PetscFVCellGeom   *cg;

    615:     PetscFVGetNumComponents((PetscFV) obj, &Nc);
    616:     VecGetArrayRead(locX, &pointSols);
    617:     DMPlexPointLocalRead(plex, cell, pointSols, (void *) &pointSol);
    618:     DMPlexPointLocalRead(adaptor->gradDM, cell, adaptor->cellGradArray, (void *) &pointGrad);
    619:     DMPlexPointLocalRead(adaptor->cellDM, cell, adaptor->cellGeomArray, &cg);
    620:     (*adaptor->ops->computeerrorindicator)(adaptor, dim, Nc, pointSol, pointGrad, cg, errInd, ctx);
    621:     VecRestoreArrayRead(locX, &pointSols);
    622:   } else {
    623:     PetscScalar     *x = NULL, *field, *gradient, *interpolant, *interpolantGrad;
    624:     PetscFVCellGeom  cg;
    625:     const PetscReal *quadWeights;
    626:     PetscReal       *coords, *detJ, *J, *invJ;
    627:     PetscInt         Nb, fc, Nq, qNc, Nf, f, fieldOffset;

    629:     PetscDSGetNumFields(prob, &Nf);
    630:     PetscFEGetQuadrature((PetscFE) obj, &quad);
    631:     DMPlexVecGetClosure(plex, NULL, locX, cell, NULL, &x);
    632:     PetscFEGetDimension((PetscFE) obj, &Nb);
    633:     PetscFEGetNumComponents((PetscFE) obj, &Nc);
    634:     PetscQuadratureGetData(quad, NULL, &qNc, &Nq, NULL, &quadWeights);
    635:     PetscMalloc6(Nc,&field,cdim*Nc,&gradient,cdim*Nq,&coords,Nq,&detJ,cdim*cdim*Nq,&J,cdim*cdim*Nq,&invJ);
    636:     PetscMalloc2(Nc, &interpolant, cdim*Nc, &interpolantGrad);
    637:     DMPlexComputeCellGeometryFEM(plex, cell, quad, coords, J, invJ, detJ);
    638:     DMPlexComputeCellGeometryFVM(plex, cell, &cg.volume, NULL, NULL);
    639:     PetscMemzero(gradient, cdim*Nc * sizeof(PetscScalar));
    640:     for (f = 0, fieldOffset = 0; f < Nf; ++f) {
    641:       PetscInt qc = 0, q;

    643:       PetscDSGetDiscretization(prob, f, &obj);
    644:       PetscMemzero(interpolant,     Nc * sizeof(PetscScalar));
    645:       PetscMemzero(interpolantGrad, cdim*Nc * sizeof(PetscScalar));
    646:       for (q = 0; q < Nq; ++q) {
    647:         PetscFEInterpolateFieldAndGradient_Static((PetscFE) obj, x, dim, invJ, q, interpolant, interpolantGrad);
    648:         for (fc = 0; fc < Nc; ++fc) {
    649:           const PetscReal wt = quadWeights[q*qNc+qc+fc];

    651:           field[fc] += interpolant[fc]*wt*detJ[q];
    652:           for (d = 0; d < cdim; ++d) gradient[fc*cdim+d] += interpolantGrad[fc*dim+d]*wt*detJ[q];
    653:         }
    654:       }
    655:       fieldOffset += Nb;
    656:       qc          += Nc;
    657:     }
    658:     PetscFree2(interpolant, interpolantGrad);
    659:     DMPlexVecRestoreClosure(plex, NULL, locX, cell, NULL, &x);
    660:     for (fc = 0; fc < Nc; ++fc) {
    661:       field[fc] /= cg.volume;
    662:       for (d = 0; d < cdim; ++d) gradient[fc*cdim+d] /= cg.volume;
    663:     }
    664:     (*adaptor->ops->computeerrorindicator)(adaptor, dim, Nc, field, gradient, &cg, errInd, ctx);
    665:     PetscFree6(field,gradient,coords,detJ,J,invJ);
    666:   }
    667:   return(0);
    668: }

    670: static PetscErrorCode DMAdaptorAdapt_Sequence_Private(DMAdaptor adaptor, Vec inx, PetscBool doSolve, DM *adm, Vec *ax)
    671: {
    672:   PetscDS        prob;
    673:   void          *ctx;
    674:   MPI_Comm       comm;
    675:   PetscInt       numAdapt = adaptor->numSeq, adaptIter;
    676:   PetscInt       dim, coordDim, numFields, cStart, cEnd, cEndInterior, c;

    680:   DMViewFromOptions(adaptor->idm, NULL, "-dm_adapt_pre_view");
    681:   VecViewFromOptions(inx, NULL, "-sol_adapt_pre_view");
    682:   PetscObjectGetComm((PetscObject) adaptor, &comm);
    683:   DMGetDimension(adaptor->idm, &dim);
    684:   DMGetCoordinateDim(adaptor->idm, &coordDim);
    685:   DMGetApplicationContext(adaptor->idm, &ctx);
    686:   DMGetDS(adaptor->idm, &prob);
    687:   PetscDSGetNumFields(prob, &numFields);

    689:   /* Adapt until nothing changes */
    690:   /* Adapt for a specified number of iterates */
    691:   for (adaptIter = 0; adaptIter < numAdapt-1; ++adaptIter) {PetscViewerASCIIPushTab(PETSC_VIEWER_STDOUT_(comm));}
    692:   for (adaptIter = 0; adaptIter < numAdapt;   ++adaptIter) {
    693:     PetscBool adapted = PETSC_FALSE;
    694:     DM        dm      = adaptIter ? *adm : adaptor->idm, odm;
    695:     Vec       x       = adaptIter ? *ax  : inx, locX, ox;

    697:     DMGetLocalVector(dm, &locX);
    698:     DMGlobalToLocalBegin(dm, adaptIter ? *ax : x, INSERT_VALUES, locX);
    699:     DMGlobalToLocalEnd(dm, adaptIter ? *ax : x, INSERT_VALUES, locX);
    700:     DMAdaptorPreAdapt(adaptor, locX);
    701:     if (doSolve) {
    702:       SNES snes;

    704:       DMAdaptorGetSolver(adaptor, &snes);
    705:       SNESSolve(snes, NULL, adaptIter ? *ax : x);
    706:     }
    707:     /* DMAdaptorMonitor(adaptor);
    708:        Print iterate, memory used, DM, solution */
    709:     switch (adaptor->adaptCriterion) {
    710:     case DM_ADAPTATION_REFINE:
    711:       DMRefine(dm, comm, &odm);
    712:       if (!odm) SETERRQ(comm, PETSC_ERR_ARG_INCOMP, "DMRefine() did not perform any refinement, cannot continue grid sequencing");
    713:       adapted = PETSC_TRUE;
    714:       break;
    715:     case DM_ADAPTATION_LABEL:
    716:     {
    717:       /* Adapt DM
    718:            Create local solution
    719:            Reconstruct gradients (FVM) or solve adjoint equation (FEM)
    720:            Produce cellwise error indicator */
    721:       DM                 plex;
    722:       DMLabel            adaptLabel;
    723:       IS                 refineIS, coarsenIS;
    724:       Vec                errVec;
    725:       PetscScalar       *errArray;
    726:       const PetscScalar *pointSols;
    727:       PetscReal          minMaxInd[2] = {PETSC_MAX_REAL, PETSC_MIN_REAL}, minMaxIndGlobal[2];
    728:       PetscInt           nRefine, nCoarsen;

    730:       DMConvert(dm, DMPLEX, &plex);
    731:       DMLabelCreate("adapt", &adaptLabel);
    732:       DMPlexGetHeightStratum(plex, 0, &cStart, &cEnd);
    733:       DMPlexGetHybridBounds(plex, &cEndInterior, NULL, NULL, NULL);
    734:       cEnd = (cEndInterior < 0) ? cEnd : cEndInterior;

    736:       VecCreateMPI(PetscObjectComm((PetscObject) adaptor), cEnd-cStart, PETSC_DETERMINE, &errVec);
    737:       VecSetUp(errVec);
    738:       VecGetArray(errVec, &errArray);
    739:       VecGetArrayRead(locX, &pointSols);
    740:       for (c = cStart; c < cEnd; ++c) {
    741:         PetscReal errInd;

    743:         DMAdaptorComputeErrorIndicator_Private(adaptor, plex, c, locX, &errInd);
    744:         errArray[c-cStart] = errInd;
    745:         minMaxInd[0] = PetscMin(minMaxInd[0], errInd);
    746:         minMaxInd[1] = PetscMax(minMaxInd[1], errInd);
    747:       }
    748:       VecRestoreArrayRead(locX, &pointSols);
    749:       VecRestoreArray(errVec, &errArray);
    750:       PetscGlobalMinMaxReal(PetscObjectComm((PetscObject) adaptor), minMaxInd, minMaxIndGlobal);
    751:       PetscInfo2(adaptor, "DMAdaptor: error indicator range (%E, %E)\n", minMaxIndGlobal[0], minMaxIndGlobal[1]);
    752:       /*     Compute IS from VecTagger */
    753:       VecTaggerComputeIS(adaptor->refineTag, errVec, &refineIS);
    754:       VecTaggerComputeIS(adaptor->coarsenTag, errVec, &coarsenIS);
    755:       ISGetSize(refineIS, &nRefine);
    756:       ISGetSize(coarsenIS, &nCoarsen);
    757:       PetscInfo2(adaptor, "DMAdaptor: numRefine %D, numCoarsen %D\n", nRefine, nCoarsen);
    758:       if (nRefine)  {DMLabelSetStratumIS(adaptLabel, DM_ADAPT_REFINE,  refineIS);}
    759:       if (nCoarsen) {DMLabelSetStratumIS(adaptLabel, DM_ADAPT_COARSEN, coarsenIS);}
    760:       ISDestroy(&coarsenIS);
    761:       ISDestroy(&refineIS);
    762:       VecDestroy(&errVec);
    763:       /*     Adapt DM from label */
    764:       if (nRefine || nCoarsen) {
    765:         DMAdaptLabel(dm, adaptLabel, &odm);
    766:         adapted = PETSC_TRUE;
    767:       }
    768:       DMLabelDestroy(&adaptLabel);
    769:       DMDestroy(&plex);
    770:     }
    771:     break;
    772:     case DM_ADAPTATION_METRIC:
    773:     {
    774:       DM           dmGrad,   dmHess,   dmMetric;
    775:       PetscDS      probGrad, probHess;
    776:       Vec          xGrad,    xHess,    metric;
    777:       PetscSection sec, msec;
    778:       PetscScalar *H, *M, integral;
    779:       PetscReal    N;
    780:       DMLabel      bdLabel;
    781:       PetscInt     Nd = coordDim*coordDim, f, vStart, vEnd, v;

    783:       /*     Compute vertexwise gradients from cellwise gradients */
    784:       DMClone(dm, &dmGrad);
    785:       DMClone(dm, &dmHess);
    786:       DMGetDS(dmGrad, &probGrad);
    787:       DMGetDS(dmHess, &probHess);
    788:       for (f = 0; f < numFields; ++f) {
    789:         PetscFE         fe, feGrad, feHess;
    790:         PetscDualSpace  Q;
    791:         DM              K;
    792:         PetscQuadrature q;
    793:         PetscInt        Nc, qorder;
    794:         const char     *prefix;

    796:         PetscDSGetDiscretization(prob, f, (PetscObject *) &fe);
    797:         PetscFEGetNumComponents(fe, &Nc);
    798:         PetscFEGetDualSpace(fe, &Q);
    799:         PetscDualSpaceGetDM(Q, &K);
    800:         DMPlexGetDepthStratum(K, 0, &vStart, &vEnd);
    801:         PetscFEGetQuadrature(fe, &q);
    802:         PetscQuadratureGetOrder(q, &qorder);
    803:         PetscObjectGetOptionsPrefix((PetscObject) fe, &prefix);
    804:         PetscFECreateDefault(PetscObjectComm((PetscObject) dmGrad), dim, Nc*coordDim, (vEnd-vStart) == dim+1 ? PETSC_TRUE : PETSC_FALSE, prefix, qorder, &feGrad);
    805:         PetscDSSetDiscretization(probGrad, f, (PetscObject) feGrad);
    806:         PetscFECreateDefault(PetscObjectComm((PetscObject) dmHess), dim, Nc*Nd, (vEnd-vStart) == dim+1 ? PETSC_TRUE : PETSC_FALSE, prefix, qorder, &feHess);
    807:         PetscDSSetDiscretization(probHess, f, (PetscObject) feHess);
    808:         PetscFEDestroy(&feGrad);
    809:         PetscFEDestroy(&feHess);
    810:       }
    811:       DMGetGlobalVector(dmGrad, &xGrad);
    812:       VecViewFromOptions(x, NULL, "-sol_adapt_loc_pre_view");
    813:       DMPlexComputeGradientClementInterpolant(dm, locX, xGrad);
    814:       VecViewFromOptions(xGrad, NULL, "-adapt_gradient_view");
    815:       /*     Compute vertexwise Hessians from cellwise Hessians */
    816:       DMGetGlobalVector(dmHess, &xHess);
    817:       DMPlexComputeGradientClementInterpolant(dmGrad, xGrad, xHess);
    818:       VecViewFromOptions(xHess, NULL, "-adapt_hessian_view");
    819:       /*     Compute metric */
    820:       DMClone(dm, &dmMetric);
    821:       DMGetSection(dm, &sec);
    822:       DMPlexGetDepthStratum(dm, 0, &vStart, &vEnd);
    823:       PetscSectionCreate(PetscObjectComm((PetscObject) dm), &msec);
    824:       PetscSectionSetNumFields(msec, 1);
    825:       PetscSectionSetFieldComponents(msec, 0, Nd);
    826:       PetscSectionSetChart(msec, vStart, vEnd);
    827:       for (v = vStart; v < vEnd; ++v) {
    828:         PetscSectionSetDof(msec, v, Nd);
    829:         PetscSectionSetFieldDof(msec, v, 0, Nd);
    830:       }
    831:       PetscSectionSetUp(msec);
    832:       DMSetSection(dmMetric, msec);
    833:       PetscSectionDestroy(&msec);
    834:       DMGetLocalVector(dmMetric, &metric);
    835:       /*       N is the target size */
    836:       N    = adaptor->Nadapt >= 0 ? adaptor->Nadapt : PetscPowRealInt(adaptor->refinementFactor, dim)*((PetscReal) (vEnd - vStart));
    837:       if (adaptor->monitor) {PetscPrintf(PETSC_COMM_SELF, "N_orig: %D N_adapt: %g\n", vEnd - vStart, N);}
    838:       /*       |H| means take the absolute value of eigenvalues */
    839:       VecGetArray(xHess, &H);
    840:       VecGetArray(metric, &M);
    841:       for (v = vStart; v < vEnd; ++v) {
    842:         PetscScalar *Hp;

    844:         DMPlexPointLocalRef(dmHess, v, H, &Hp);
    845:         DMAdaptorModifyHessian_Private(coordDim, adaptor->h_min, adaptor->h_max, Hp);
    846:       }
    847:       /*       Pointwise on vertices M(x) = N^{2/d} (\int_\Omega det(|H|)^{p/(2p+d)})^{-2/d} det(|H|)^{-1/(2p+d)} |H| for L_p */
    848:       PetscDSSetObjective(probHess, 0, detHFunc);
    849:       DMPlexComputeIntegralFEM(dmHess, xHess, &integral, NULL);
    850:       for (v = vStart; v < vEnd; ++v) {
    851:         const PetscInt     p = 1;
    852:         const PetscScalar *Hp;
    853:         PetscScalar       *Mp;
    854:         PetscReal          detH, fact;
    855:         PetscInt           i;

    857:         DMPlexPointLocalRead(dmHess, v, H, (void *) &Hp);
    858:         DMPlexPointLocalRef(dmMetric, v, M, &Mp);
    859:         if      (dim == 2) DMPlex_Det2D_Scalar_Internal(&detH, Hp);
    860:         else if (dim == 3) DMPlex_Det3D_Scalar_Internal(&detH, Hp);
    861:         else SETERRQ1(PetscObjectComm((PetscObject) adaptor), PETSC_ERR_SUP, "Dimension %d not supported", dim);
    862:         fact = PetscPowReal(N, 2.0/dim) * PetscPowReal(PetscRealPart(integral), -2.0/dim) * PetscPowReal(PetscAbsReal(detH), -1.0/(2*p+dim));
    863: #if 0
    864:         PetscPrintf(PETSC_COMM_SELF, "fact: %g integral: %g |detH|: %g termA: %g termB: %g\n", fact, integral, PetscAbsReal(detH), PetscPowReal(integral, -2.0/dim), PetscPowReal(PetscAbsReal(detH), -1.0/(2*p+dim)));
    865:         DMPrintCellMatrix(v, "H", coordDim, coordDim, Hp);
    866: #endif
    867:         for (i = 0; i < Nd; ++i) {
    868:           Mp[i] = fact * Hp[i];
    869:         }
    870:       }
    871:       VecRestoreArray(xHess, &H);
    872:       VecRestoreArray(metric, &M);
    873:       /*     Adapt DM from metric */
    874:       DMGetLabel(dm, "marker", &bdLabel);
    875:       DMAdaptMetric(dm, metric, bdLabel, &odm);
    876:       adapted = PETSC_TRUE;
    877:       /* Cleanup */
    878:       DMRestoreLocalVector(dmMetric, &metric);
    879:       DMDestroy(&dmMetric);
    880:       DMRestoreGlobalVector(dmHess, &xHess);
    881:       DMRestoreGlobalVector(dmGrad, &xGrad);
    882:       DMDestroy(&dmGrad);
    883:       DMDestroy(&dmHess);
    884:     }
    885:     break;
    886:     default: SETERRQ1(comm, PETSC_ERR_ARG_WRONG, "Invalid adaptation type: %D", adaptor->adaptCriterion);
    887:     }
    888:     DMAdaptorPostAdapt(adaptor);
    889:     DMRestoreLocalVector(dm, &locX);
    890:     /* If DM was adapted, replace objects and recreate solution */
    891:     if (adapted) {
    892:       const char *name;

    894:       PetscObjectGetName((PetscObject) dm, &name);
    895:       PetscObjectSetName((PetscObject) odm, name);
    896:       /* Reconfigure solver */
    897:       SNESReset(adaptor->snes);
    898:       SNESSetDM(adaptor->snes, odm);
    899:       DMAdaptorSetSolver(adaptor, adaptor->snes);
    900:       DMPlexSetSNESLocalFEM(odm, ctx, ctx, ctx);
    901:       SNESSetFromOptions(adaptor->snes);
    902:       /* Transfer system */
    903:       DMSetDS(odm, prob);
    904:       /* Transfer solution */
    905:       DMCreateGlobalVector(odm, &ox);
    906:       PetscObjectGetName((PetscObject) x, &name);
    907:       PetscObjectSetName((PetscObject) ox, name);
    908:       DMAdaptorTransferSolution(adaptor, dm, x, odm, ox);
    909:       /* Cleanup adaptivity info */
    910:       if (adaptIter > 0) {PetscViewerASCIIPopTab(PETSC_VIEWER_STDOUT_(comm));}
    911:       DMForestSetAdaptivityForest(dm, NULL); /* clear internal references to the previous dm */
    912:       DMDestroy(&dm);
    913:       VecDestroy(&x);
    914:       *adm = odm;
    915:       *ax  = ox;
    916:     } else {
    917:       *adm = dm;
    918:       *ax  = x;
    919:       adaptIter = numAdapt;
    920:     }
    921:     if (adaptIter < numAdapt-1) {
    922:       DMViewFromOptions(odm, NULL, "-dm_adapt_iter_view");
    923:       VecViewFromOptions(ox, NULL, "-sol_adapt_iter_view");
    924:     }
    925:   }
    926:   DMViewFromOptions(*adm, NULL, "-dm_adapt_view");
    927:   VecViewFromOptions(*ax, NULL, "-sol_adapt_view");
    928:   return(0);
    929: }

    931: /*@
    932:   DMAdaptorAdapt - Creates a new DM that is adapted to the problem

    934:   Not collective

    936:   Input Parameter:
    937: + adaptor  - The DMAdaptor object
    938: . x        - The global approximate solution
    939: - strategy - The adaptation strategy

    941:   Output Parameters:
    942: + adm - The adapted DM
    943: - ax  - The adapted solution

    945:   Options database keys:
    946: . -snes_adapt <strategy> : initial, sequential, multigrid
    947: . -adapt_gradient_view : View the Clement interpolant of the solution gradient
    948: . -adapt_hessian_view : View the Clement interpolant of the solution Hessian
    949: . -adapt_metric_view : View the metric tensor for adaptive mesh refinement

    951:   Note: The available adaptation strategies are:
    952: $ 1) Adapt the intial mesh until a quality metric, e,g, a priori error bound, is satisfied
    953: $ 2) Solve the problem on a series of adapted meshes until a quality metric, e.g. a posteriori error bound, is satisfied
    954: $ 3) Solve the problem on a hierarchy of adapted meshes generated to satisfy a quality metric using multigrid

    956:   Level: intermediate

    958: .keywords: DMAdaptor, convergence
    959: .seealso: DMAdaptorSetSolver(), DMAdaptorCreate(), DMAdaptorAdapt()
    960: @*/
    961: PetscErrorCode DMAdaptorAdapt(DMAdaptor adaptor, Vec x, DMAdaptationStrategy strategy, DM *adm, Vec *ax)
    962: {

    966:   switch (strategy)
    967:   {
    968:   case DM_ADAPTATION_INITIAL:
    969:     DMAdaptorAdapt_Sequence_Private(adaptor, x, PETSC_FALSE, adm, ax);
    970:     break;
    971:   case DM_ADAPTATION_SEQUENTIAL:
    972:     DMAdaptorAdapt_Sequence_Private(adaptor, x, PETSC_TRUE, adm, ax);
    973:     break;
    974:   default: SETERRQ1(PetscObjectComm((PetscObject) adaptor), PETSC_ERR_ARG_WRONG, "Unrecognized adaptation strategy %d", strategy);
    975:   }
    976:   return(0);
    977: }