Actual source code: cdf.c

petsc-3.11.1 2019-04-17
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  2:  #include <petsc/private/vecimpl.h>
  3: #include "../src/vec/vec/utils/tagger/impls/simple.h"

  5: const char *const VecTaggerCDFMethods[VECTAGGER_CDF_NUM_METHODS] = {"gather","iterative"};

  7: #if !defined (PETSC_USE_COMPLEX)
  8: typedef VecTaggerBox VecTaggerBoxReal;
  9: #else
 10: typedef struct {
 11:   PetscReal min;
 12:   PetscReal max;
 13: } VecTaggerBoxReal;
 14: #endif

 16: typedef struct {
 17:   VecTagger_Simple   smpl;
 18:   PetscReal          atol;
 19:   PetscReal          rtol;
 20:   PetscInt           maxit;
 21:   PetscInt           numMoments;
 22:   VecTaggerCDFMethod method;
 23: } VecTagger_CDF;

 25: static PetscErrorCode VecTaggerComputeBox_CDF_SortedArray(const PetscReal *cArray, PetscInt m, const VecTaggerBoxReal *bxs, VecTaggerBoxReal *boxes)
 26: {
 27:   PetscInt    minInd, maxInd;
 28:   PetscReal   minCDF, maxCDF;

 31:   minCDF = PetscMax(0., bxs->min);
 32:   maxCDF = PetscMin(1., bxs->max);
 33:   minInd = (PetscInt) (minCDF * m);
 34:   maxInd = (PetscInt) (maxCDF * m);
 35:   boxes->min = cArray[PetscMin(minInd,m-1)];
 36:   boxes->max = cArray[PetscMax(minInd,maxInd-1)];
 37:   return(0);
 38: }

 40: static PetscErrorCode VecTaggerComputeBoxes_CDF_Serial(VecTagger tagger,Vec vec,PetscInt bs,VecTaggerBox *boxes)
 41: {
 42:   VecTagger_Simple *smpl = (VecTagger_Simple *) tagger->data;
 43:   Vec              vComp;
 44:   PetscInt         n, m;
 45:   PetscInt         i;
 46: #if defined (PETSC_USE_COMPLEX)
 47:   PetscReal        *cReal, *cImag;
 48: #endif
 49:   PetscErrorCode   ierr;

 52:   VecGetLocalSize(vec,&n);
 53:   m    = n/bs;
 54:   VecCreateSeq(PETSC_COMM_SELF,m,&vComp);
 55: #if defined (PETSC_USE_COMPLEX)
 56:   PetscMalloc2(m,&cReal,m,&cImag);
 57: #endif
 58:   for (i = 0; i < bs; i++) {
 59:     IS          isStride;
 60:     VecScatter  vScat;
 61:     PetscScalar *cArray;

 63:     ISCreateStride(PETSC_COMM_SELF,m,i,bs,&isStride);
 64:     VecScatterCreate(vec,isStride,vComp,NULL,&vScat);
 65:     VecScatterBegin(vScat,vec,vComp,INSERT_VALUES,SCATTER_FORWARD);
 66:     VecScatterEnd(vScat,vec,vComp,INSERT_VALUES,SCATTER_FORWARD);
 67:     VecScatterDestroy(&vScat);
 68:     ISDestroy(&isStride);

 70:     VecGetArray(vComp,&cArray);
 71: #if !defined(PETSC_USE_COMPLEX)
 72:     PetscSortReal(m,cArray);
 73:     VecTaggerComputeBox_CDF_SortedArray(cArray,m,&smpl->box[i],&boxes[i]);
 74: #else
 75:     {
 76:       PetscInt j;
 77:       VecTaggerBoxReal realBxs, imagBxs;
 78:       VecTaggerBoxReal realBoxes, imagBoxes;

 80:       for (j = 0; j < m; j++) {
 81:         cReal[j] = PetscRealPart(cArray[j]);
 82:         cImag[j] = PetscImaginaryPart(cArray[j]);
 83:       }
 84:       PetscSortReal(m,cReal);
 85:       PetscSortReal(m,cImag);

 87:       realBxs.min = PetscRealPart(smpl->box[i].min);
 88:       realBxs.max = PetscRealPart(smpl->box[i].max);
 89:       imagBxs.min = PetscImaginaryPart(smpl->box[i].min);
 90:       imagBxs.max = PetscImaginaryPart(smpl->box[i].max);
 91:       VecTaggerComputeBox_CDF_SortedArray(cReal,m,&realBxs,&realBoxes);
 92:       VecTaggerComputeBox_CDF_SortedArray(cImag,m,&imagBxs,&imagBoxes);
 93:       boxes[i].min = PetscCMPLX(realBoxes.min,imagBoxes.min);
 94:       boxes[i].max = PetscCMPLX(realBoxes.max,imagBoxes.max);
 95:     }
 96: #endif
 97:     VecRestoreArray(vComp,&cArray);
 98:   }
 99: #if defined(PETSC_USE_COMPLEX)
100:   PetscFree2(cReal,cImag);
101: #endif
102:   VecDestroy(&vComp);
103:   return(0);
104: }

106: static PetscErrorCode VecTaggerComputeBoxes_CDF_Gather(VecTagger tagger,Vec vec,PetscInt bs,VecTaggerBox *boxes)
107: {
108:   Vec            gVec = NULL;
109:   VecScatter     vScat;
110:   PetscMPIInt    rank;

114:   VecScatterCreateToZero(vec,&vScat,&gVec);
115:   VecScatterBegin(vScat,vec,gVec,INSERT_VALUES,SCATTER_FORWARD);
116:   VecScatterEnd(vScat,vec,gVec,INSERT_VALUES,SCATTER_FORWARD);
117:   VecScatterDestroy(&vScat);
118:   MPI_Comm_rank (PetscObjectComm((PetscObject)vec),&rank);
119:   if (!rank) {
120:     VecTaggerComputeBoxes_CDF_Serial(tagger,gVec,bs,boxes);
121:   }
122:   MPI_Bcast((PetscScalar *)boxes,2*bs,MPIU_SCALAR,0,PetscObjectComm((PetscObject)vec));
123:   VecDestroy(&gVec);
124:   return(0);
125: }

127: typedef struct _n_CDFStats
128: {
129:   PetscReal min;
130:   PetscReal max;
131:   PetscReal moment[3];

133: } CDFStats;

135: static void VecTaggerCDFStatsReduce(void *a, void *b, int * len, MPI_Datatype *datatype)
136: {
137:   PetscInt  i, j, N = *len;
138:   CDFStats *A = (CDFStats *) a;
139:   CDFStats *B = (CDFStats *) b;

141:   for (i = 0; i < N; i++) {
142:     B[i].min = PetscMin(A[i].min,B[i].min);
143:     B[i].max = PetscMax(A[i].max,B[i].max);
144:     for (j = 0; j < 3; j++) {
145:       B[i].moment[j] += A[i].moment[j];
146:     }
147:   }
148: }

150: static PetscErrorCode CDFUtilInverseEstimate(const CDFStats *stats,PetscReal cdfTarget,PetscReal *absEst)
151: {
152:   PetscReal min, max;

155:   min = stats->min;
156:   max = stats->max;
157:   *absEst = min + cdfTarget * (max - min);
158:   return(0);
159: }

161: static PetscErrorCode VecTaggerComputeBox_CDF_SortedArray_Iterative(VecTagger tagger, MPI_Datatype statType, MPI_Op statReduce, const PetscReal *cArray, PetscInt m, const VecTaggerBoxReal *cdfBox, VecTaggerBoxReal *absBox)
162: {
163:   MPI_Comm       comm;
164:   VecTagger_CDF  *cdf;
165:   PetscInt       maxit, i, j, k, l, M;
166:   PetscInt       bounds[2][2];
167:   PetscInt       offsets[2];
168:   PetscReal      intervalLen = cdfBox->max - cdfBox->min;
169:   PetscReal      rtol, atol;

173:   comm  = PetscObjectComm((PetscObject)tagger);
174:   cdf   = (VecTagger_CDF *) tagger->data;
175:   maxit = cdf->maxit;
176:   rtol  = cdf->rtol;
177:   atol  = cdf->atol;
178:   /* local range of sorted values that can contain the sought radix */
179:   offsets[0] = 0;
180:   offsets[1] = 0;
181:   bounds[0][0] = 0; bounds[0][1] = m;
182:   bounds[1][0] = 0; bounds[1][1] = m;
183:   VecTaggerComputeBox_CDF_SortedArray(cArray,m,cdfBox,absBox); /* compute a local estimate of the interval */
184:   {
185:     CDFStats stats[3];

187:     for (i = 0; i < 2; i++) { /* compute statistics of those local estimates */
188:       PetscReal val = i ? absBox->max : absBox->min;

190:       stats[i].min = m ? val : PETSC_MAX_REAL;
191:       stats[i].max = m ? val : PETSC_MIN_REAL;
192:       stats[i].moment[0] = m;
193:       stats[i].moment[1] = m * val;
194:       stats[i].moment[2] = m * val * val;
195:     }
196:     stats[2].min = PETSC_MAX_REAL;
197:     stats[2].max = PETSC_MAX_REAL;
198:     for (i = 0; i < 3; i++) {
199:       stats[2].moment[i] = 0.;
200:     }
201:     for (i = 0; i < m; i++) {
202:       PetscReal val = cArray[i];

204:       stats[2].min = PetscMin(stats[2].min, val);
205:       stats[2].max = PetscMax(stats[2].max, val);
206:       stats[2].moment[0] ++;
207:       stats[2].moment[1] += val;
208:       stats[2].moment[2] += val * val;
209:     }
210:     /* reduce those statistics */
211:     MPI_Allreduce(MPI_IN_PLACE,stats,3,statType,statReduce,comm);
212:     M    = (PetscInt) stats[2].moment[0];
213:     /* use those initial statistics to get the initial (globally agreed-upon) choices for the absolute box bounds */
214:     for (i = 0; i < 2; i++) {
215:       CDFUtilInverseEstimate(&stats[i],i ? cdfBox->max : cdfBox->min,(i ? &absBox->max : &absBox->min));
216:     }
217:   }
218:   /* refine the estimates by computing how close they come to the desired box and refining */
219:   for (k = 0; k < maxit; k++) {
220:     PetscReal maxDiff = 0.;

222:     CDFStats stats[2][2];
223:     PetscInt newBounds[2][2][2];
224:     for (i = 0; i < 2; i++) {
225:       for (j = 0; j < 2; j++) {
226:         stats[i][j].min = PETSC_MAX_REAL;
227:         stats[i][j].max = PETSC_MIN_REAL;
228:         for (l = 0; l < 3; l++) {
229:           stats[i][j].moment[l] = 0.;
230:         }
231:         newBounds[i][j][0] = PetscMax(bounds[i][0],bounds[i][1]);
232:         newBounds[i][j][1] = PetscMin(bounds[i][0],bounds[i][1]);
233:       }
234:     }
235:     for (i = 0; i < 2; i++) {
236:       for (j = 0; j < bounds[i][1] - bounds[i][0]; j++) {
237:         PetscInt  thisInd = bounds[i][0] + j;
238:         PetscReal val     = cArray[thisInd];
239:         PetscInt  section;
240:         if (!i) {
241:           section = (val <  absBox->min) ? 0 : 1;
242:         } else {
243:           section = (val <= absBox->max) ? 0 : 1;
244:         }
245:         stats[i][section].min = PetscMin(stats[i][section].min,val);
246:         stats[i][section].max = PetscMax(stats[i][section].max,val);
247:         stats[i][section].moment[0] ++;
248:         stats[i][section].moment[1] += val;
249:         stats[i][section].moment[2] += val * val;
250:         newBounds[i][section][0] = PetscMin(newBounds[i][section][0],thisInd);
251:         newBounds[i][section][1] = PetscMax(newBounds[i][section][0],thisInd + 1);
252:       }
253:     }
254:     MPI_Allreduce(MPI_IN_PLACE, stats, 4, statType, statReduce, comm);
255:     for (i = 0; i < 2; i++) {
256:       PetscInt  totalLessThan = offsets[i] + stats[i][0].moment[0];
257:       PetscReal cdfOfAbs      = (PetscReal) totalLessThan / (PetscReal) M;
258:       PetscReal diff;
259:       PetscInt  section;

261:       if (cdfOfAbs == (i ? cdfBox->max : cdfBox->min)) {
262:         offsets[i] = totalLessThan;
263:         bounds[i][0] = bounds[i][1] = 0;
264:         continue;
265:       }
266:       if (cdfOfAbs > (i ? cdfBox->max : cdfBox->min)) { /* the correct absolute value lies in the lower section */
267:         section = 0;
268:       } else {
269:         section = 1;
270:         offsets[i] = totalLessThan;
271:       }
272:       for (j = 0; j < 2; j++) {
273:         bounds[i][j] = newBounds[i][section][j];
274:       }
275:       CDFUtilInverseEstimate(&stats[i][section],((i ? cdfBox->max : cdfBox->min) - ((PetscReal) offsets[i] / (PetscReal) M))/stats[i][section].moment[0],(i ? &absBox->max : &absBox->min));
276:       diff = PetscAbs(cdfOfAbs - (i ? cdfBox->max : cdfBox->min));
277:       maxDiff = PetscMax(maxDiff,diff);
278:     }
279:     if (!maxDiff) return(0);
280:     if ((atol || rtol) && ((!atol) || (maxDiff <= atol)) && ((!rtol) || (maxDiff <= rtol * intervalLen))) {
281:       break;
282:     }
283:   }
284:   return(0);
285: }

287: static PetscErrorCode VecTaggerComputeBoxes_CDF_Iterative(VecTagger tagger,Vec vec,PetscInt bs,VecTaggerBox *boxes)
288: {
289:   VecTagger_CDF    *cdf = (VecTagger_CDF *) tagger->data;
290:   VecTagger_Simple *smpl = &(cdf->smpl);
291:   Vec              vComp;
292:   PetscInt         i, N, M, n, m, rstart;
293: #if defined (PETSC_USE_COMPLEX)
294:   PetscReal        *cReal, *cImag;
295: #endif
296:   MPI_Comm         comm;
297:   MPI_Datatype     statType;
298:   MPI_Op           statReduce;
299:   PetscErrorCode   ierr;

302:   comm = PetscObjectComm((PetscObject)vec);
303:   VecGetSize(vec,&N);
304:   VecGetLocalSize(vec,&n);
305:   M    = N/bs;
306:   m    = n/bs;
307:   VecCreateMPI(comm,m,M,&vComp);
308:   VecSetUp(vComp);
309:   VecGetOwnershipRange(vComp,&rstart,NULL);
310: #if defined (PETSC_USE_COMPLEX)
311:   PetscMalloc2(m,&cReal,m,&cImag);
312: #endif
313:   MPI_Type_contiguous(5,MPIU_REAL,&statType);
314:   MPI_Type_commit(&statType);
315:   MPI_Op_create(VecTaggerCDFStatsReduce,1,&statReduce);
316:   for (i = 0; i < bs; i++) {
317:     IS          isStride;
318:     VecScatter  vScat;
319:     PetscScalar *cArray;

321:     ISCreateStride(comm,m,bs * rstart + i,bs,&isStride);
322:     VecScatterCreate(vec,isStride,vComp,NULL,&vScat);
323:     VecScatterBegin(vScat,vec,vComp,INSERT_VALUES,SCATTER_FORWARD);
324:     VecScatterEnd(vScat,vec,vComp,INSERT_VALUES,SCATTER_FORWARD);
325:     VecScatterDestroy(&vScat);
326:     ISDestroy(&isStride);

328:     VecGetArray(vComp,&cArray);
329: #if !defined(PETSC_USE_COMPLEX)
330:     PetscSortReal(m,cArray);
331:     VecTaggerComputeBox_CDF_SortedArray_Iterative(tagger,statType,statReduce,cArray,m,&smpl->box[i],&boxes[i]);
332: #else
333:     {
334:       PetscInt j;
335:       VecTaggerBoxReal realBxs, imagBxs;
336:       VecTaggerBoxReal realBoxes, imagBoxes;

338:       for (j = 0; j < m; j++) {
339:         cReal[j] = PetscRealPart(cArray[j]);
340:         cImag[j] = PetscImaginaryPart(cArray[j]);
341:       }
342:       PetscSortReal(m,cReal);
343:       PetscSortReal(m,cImag);

345:       realBxs.min = PetscRealPart(smpl->box[i].min);
346:       realBxs.max = PetscRealPart(smpl->box[i].max);
347:       imagBxs.min = PetscImaginaryPart(smpl->box[i].min);
348:       imagBxs.max = PetscImaginaryPart(smpl->box[i].max);
349:       VecTaggerComputeBox_CDF_SortedArray_Iterative(tagger,statType,statReduce,cReal,m,&realBxs,&realBoxes);
350:       VecTaggerComputeBox_CDF_SortedArray_Iterative(tagger,statType,statReduce,cImag,m,&imagBxs,&imagBoxes);
351:       boxes[i].min = PetscCMPLX(realBoxes.min,imagBoxes.min);
352:       boxes[i].max = PetscCMPLX(realBoxes.max,imagBoxes.max);
353:     }
354: #endif
355:     VecRestoreArray(vComp,&cArray);
356:   }
357:   MPI_Op_free(&statReduce);
358:   MPI_Type_free(&statType);
359: #if defined(PETSC_USE_COMPLEX)
360:   PetscFree2(cReal,cImag);
361: #endif
362:   VecDestroy(&vComp);
363:   return(0);
364: }

366: static PetscErrorCode VecTaggerComputeBoxes_CDF(VecTagger tagger,Vec vec,PetscInt *numBoxes,VecTaggerBox **boxes)
367: {
368:   VecTagger_CDF *cuml = (VecTagger_CDF *)tagger->data;
369:   PetscMPIInt          size;
370:   PetscInt             bs;
371:   VecTaggerBox         *bxs;
372:   PetscErrorCode       ierr;

375:   VecTaggerGetBlockSize(tagger,&bs);
376:   *numBoxes = 1;
377:   PetscMalloc1(bs,&bxs);
378:   MPI_Comm_size(PetscObjectComm((PetscObject)tagger),&size);
379:   if (size == 1) {
380:     VecTaggerComputeBoxes_CDF_Serial(tagger,vec,bs,bxs);
381:     *boxes = bxs;
382:     return(0);
383:   }
384:   switch (cuml->method) {
385:   case VECTAGGER_CDF_GATHER:
386:     VecTaggerComputeBoxes_CDF_Gather(tagger,vec,bs,bxs);
387:     break;
388:   case VECTAGGER_CDF_ITERATIVE:
389:     VecTaggerComputeBoxes_CDF_Iterative(tagger,vec,bs,bxs);
390:     break;
391:   default:
392:     SETERRQ(PetscObjectComm((PetscObject)tagger),PETSC_ERR_SUP,"Unknown CDF calculation/estimation method.");
393:   }
394:   *boxes = bxs;
395:   return(0);
396: }

398: static PetscErrorCode VecTaggerView_CDF(VecTagger tagger,PetscViewer viewer)
399: {
400:   VecTagger_CDF *cuml = (VecTagger_CDF *) tagger->data;
401:   PetscBool            iascii;
402:   PetscMPIInt          size;
403:   PetscErrorCode       ierr;

406:   VecTaggerView_Simple(tagger,viewer);
407:   MPI_Comm_size(PetscObjectComm((PetscObject)tagger),&size);
408:   PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);
409:   if (size > 1 && iascii) {
410:     PetscViewerASCIIPrintf(viewer,"CDF computation method: %s\n",VecTaggerCDFMethods[cuml->method]);
411:     if (cuml->method == VECTAGGER_CDF_ITERATIVE) {
412:       PetscViewerASCIIPushTab(viewer);
413:       PetscViewerASCIIPrintf(viewer,"max its: %D, abs tol: %g, rel tol %g\n",cuml->maxit,(double) cuml->atol,(double) cuml->rtol);
414:       PetscViewerASCIIPopTab(viewer);
415:     }
416:   }
417:   return(0);
418: }

420: static PetscErrorCode VecTaggerSetFromOptions_CDF(PetscOptionItems *PetscOptionsObject,VecTagger tagger)
421: {
422:   VecTagger_CDF *cuml = (VecTagger_CDF *) tagger->data;
423:   PetscInt       method;
424:   PetscBool      set;

428:   VecTaggerSetFromOptions_Simple(PetscOptionsObject,tagger);
429:   PetscOptionsHead(PetscOptionsObject,"VecTagger options for CDF boxes");
430:   PetscOptionsEList("-vec_tagger_cdf_method","Method for computing absolute boxes from CDF boxes","VecTaggerCDFSetMethod()",VecTaggerCDFMethods,VECTAGGER_CDF_NUM_METHODS,VecTaggerCDFMethods[cuml->method],&method,&set);
431:   if (set) cuml->method = (VecTaggerCDFMethod) method;
432:   PetscOptionsInt("-vec_tagger_cdf_max_it","Maximum iterations for iterative computation of absolute boxes from CDF boxes","VecTaggerCDFIterativeSetTolerances()",cuml->maxit,&cuml->maxit,NULL);
433:   PetscOptionsReal("-vec_tagger_cdf_rtol","Maximum relative tolerance for iterative computation of absolute boxes from CDF boxes","VecTaggerCDFIterativeSetTolerances()",cuml->rtol,&cuml->rtol,NULL);
434:   PetscOptionsReal("-vec_tagger_cdf_atol","Maximum absolute tolerance for iterative computation of absolute boxes from CDF boxes","VecTaggerCDFIterativeSetTolerances()",cuml->atol,&cuml->atol,NULL);
435:   PetscOptionsTail();

437:   return(0);
438: }

440: /*@C
441:   VecTaggerCDFSetMethod - Set the method used to compute absolute boxes from CDF boxes

443:   Logically Collective on VecTagger

445:   Level: advanced

447:   Input Parameters:
448: + tagger - the VecTagger context
449: - method - the method

451: .seealso VecTaggerCDFMethod
452: @*/
453: PetscErrorCode VecTaggerCDFSetMethod(VecTagger tagger, VecTaggerCDFMethod method)
454: {
455:   VecTagger_CDF  *cuml = (VecTagger_CDF *) tagger->data;

460:   cuml->method = method;
461:   return(0);
462: }

464: /*@C
465:   VecTaggerCDFGetMethod - Get the method used to compute absolute boxes from CDF boxes

467:   Logically Collective on VecTagger

469:   Level: advanced

471:   Input Parameters:
472: . tagger - the VecTagger context

474:   Output Parameters:
475: . method - the method

477: .seealso VecTaggerCDFMethod
478: @*/
479: PetscErrorCode VecTaggerCDFGetMethod(VecTagger tagger, VecTaggerCDFMethod *method)
480: {
481:   VecTagger_CDF  *cuml = (VecTagger_CDF *) tagger->data;

486:   *method = cuml->method;
487:   return(0);
488: }

490: /*@C
491:   VecTaggerCDFIterativeSetTolerances - Set the tolerances for iterative computation of absolute boxes from CDF boxes.

493:   Logically Collective on VecTagger

495:   Input Parameters:
496: + tagger - the VecTagger context
497: . maxit - the maximum number of iterations: 0 indicates the absolute values will be estimated from an initial guess based only on the minimum, maximum, mean, and standard deviation of the box endpoints.
498: . rtol - the acceptable relative tolerance in the absolute values from the initial guess
499: - atol - the acceptable absolute tolerance in the absolute values from the initial guess

501:   Level: advanced

503: .seealso: VecTaggerCDFSetMethod()
504: @*/
505: PetscErrorCode VecTaggerCDFIterativeSetTolerances(VecTagger tagger, PetscInt maxit, PetscReal rtol, PetscReal atol)
506: {
507:   VecTagger_CDF  *cuml = (VecTagger_CDF *) tagger->data;

514:   cuml->maxit = maxit;
515:   cuml->rtol  = rtol;
516:   cuml->atol  = atol;
517:   return(0);
518: }

520: /*@C
521:   VecTaggerCDFIterativeGetTolerances - Get the tolerances for iterative computation of absolute boxes from CDF boxes.

523:   Logically Collective on VecTagger

525:   Input Parameters:
526: . tagger - the VecTagger context

528:   Output Parameters:
529: + maxit - the maximum number of iterations: 0 indicates the absolute values will be estimated from an initial guess based only on the minimum, maximum, mean, and standard deviation of the box endpoints.
530: . rtol - the acceptable relative tolerance in the absolute values from the initial guess
531: - atol - the acceptable absolute tolerance in the absolute values from the initial guess

533:   Level: advanced

535: .seealso: VecTaggerCDFSetMethod()
536: @*/
537: PetscErrorCode VecTaggerCDFIterativeGetTolerances(VecTagger tagger, PetscInt *maxit, PetscReal *rtol, PetscReal *atol)
538: {
539:   VecTagger_CDF  *cuml = (VecTagger_CDF *) tagger->data;

543:   if (maxit) *maxit = cuml->maxit;
544:   if (rtol)  *rtol  = cuml->rtol;
545:   if (atol)  *atol  = cuml->atol;
546:   return(0);
547: }

549: /*@C
550:   VecTaggerCDFSetBox - Set the cumulative box defining the values to be tagged by the tagger, where cumulative boxes are subsets of [0,1], where 0 indicates the smallest value present in the vector and 1 indicates the largest.

552:   Logically Collective

554:   Input Arguments:
555: + tagger - the VecTagger context
556: - boxes - a blocksize array of VecTaggerBox boxes

558:   Level: advanced

560: .seealso: VecTaggerCDFGetBox()
561: @*/
562: PetscErrorCode VecTaggerCDFSetBox(VecTagger tagger,VecTaggerBox *box)
563: {

567:   VecTaggerSetBox_Simple(tagger,box);
568:   return(0);
569: }

571: /*@C
572:   VecTaggerCDFGetBox - Get the cumulative box (multi-dimensional box) defining the values to be tagged by the tagger, where cumulative boxes are subsets of [0,1], where 0 indicates the smallest value present in the vector and 1 indicates the largest.

574:   Logically Collective

576:   Input Arguments:
577: . tagger - the VecTagger context

579:   Output Arguments:
580: . boxes - a blocksize array of VecTaggerBox boxes

582:   Level: advanced

584: .seealso: VecTaggerCDFSetBox()
585: @*/
586: PetscErrorCode VecTaggerCDFGetBox(VecTagger tagger,const VecTaggerBox **box)
587: {

591:   VecTaggerGetBox_Simple(tagger,box);
592:   return(0);
593: }

595: PETSC_INTERN PetscErrorCode VecTaggerCreate_CDF(VecTagger tagger)
596: {
597:   VecTagger_CDF *cuml;
598:   PetscErrorCode       ierr;

601:   VecTaggerCreate_Simple(tagger);
602:   PetscNewLog(tagger,&cuml);
603:   PetscMemcpy(&(cuml->smpl),tagger->data,sizeof(VecTagger_Simple));
604:   PetscFree(tagger->data);
605:   tagger->data = cuml;
606:   tagger->ops->view           = VecTaggerView_CDF;
607:   tagger->ops->setfromoptions = VecTaggerSetFromOptions_CDF;
608:   tagger->ops->computeboxes   = VecTaggerComputeBoxes_CDF;
609:   return(0);
610: }