xref: /petsc/src/mat/impls/normal/normm.c (revision 1d27aa22b2f6148b2c4e3f06a75e0638d6493e09)
1 #include <petsc/private/matimpl.h> /*I "petscmat.h" I*/
2 
3 typedef struct {
4   Mat         A;
5   Mat         D; /* local submatrix for diagonal part */
6   Vec         w, left, right, leftwork, rightwork;
7   PetscScalar scale;
8 } Mat_Normal;
9 
10 static PetscErrorCode MatScale_Normal(Mat inA, PetscScalar scale)
11 {
12   Mat_Normal *a = (Mat_Normal *)inA->data;
13 
14   PetscFunctionBegin;
15   a->scale *= scale;
16   PetscFunctionReturn(PETSC_SUCCESS);
17 }
18 
19 static PetscErrorCode MatDiagonalScale_Normal(Mat inA, Vec left, Vec right)
20 {
21   Mat_Normal *a = (Mat_Normal *)inA->data;
22 
23   PetscFunctionBegin;
24   if (left) {
25     if (!a->left) {
26       PetscCall(VecDuplicate(left, &a->left));
27       PetscCall(VecCopy(left, a->left));
28     } else {
29       PetscCall(VecPointwiseMult(a->left, left, a->left));
30     }
31   }
32   if (right) {
33     if (!a->right) {
34       PetscCall(VecDuplicate(right, &a->right));
35       PetscCall(VecCopy(right, a->right));
36     } else {
37       PetscCall(VecPointwiseMult(a->right, right, a->right));
38     }
39   }
40   PetscFunctionReturn(PETSC_SUCCESS);
41 }
42 
43 static PetscErrorCode MatIncreaseOverlap_Normal(Mat A, PetscInt is_max, IS is[], PetscInt ov)
44 {
45   Mat_Normal *a = (Mat_Normal *)A->data;
46   Mat         pattern;
47 
48   PetscFunctionBegin;
49   PetscCheck(ov >= 0, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_OUTOFRANGE, "Negative overlap specified");
50   PetscCall(MatProductCreate(a->A, a->A, NULL, &pattern));
51   PetscCall(MatProductSetType(pattern, MATPRODUCT_AtB));
52   PetscCall(MatProductSetFromOptions(pattern));
53   PetscCall(MatProductSymbolic(pattern));
54   PetscCall(MatIncreaseOverlap(pattern, is_max, is, ov));
55   PetscCall(MatDestroy(&pattern));
56   PetscFunctionReturn(PETSC_SUCCESS);
57 }
58 
59 static PetscErrorCode MatCreateSubMatrices_Normal(Mat mat, PetscInt n, const IS irow[], const IS icol[], MatReuse scall, Mat *submat[])
60 {
61   Mat_Normal *a = (Mat_Normal *)mat->data;
62   Mat         B = a->A, *suba;
63   IS         *row;
64   PetscInt    M;
65 
66   PetscFunctionBegin;
67   PetscCheck(!a->left && !a->right && irow == icol, PetscObjectComm((PetscObject)mat), PETSC_ERR_SUP, "Not implemented");
68   if (scall != MAT_REUSE_MATRIX) PetscCall(PetscCalloc1(n, submat));
69   PetscCall(MatGetSize(B, &M, NULL));
70   PetscCall(PetscMalloc1(n, &row));
71   PetscCall(ISCreateStride(PETSC_COMM_SELF, M, 0, 1, &row[0]));
72   PetscCall(ISSetIdentity(row[0]));
73   for (M = 1; M < n; ++M) row[M] = row[0];
74   PetscCall(MatCreateSubMatrices(B, n, row, icol, MAT_INITIAL_MATRIX, &suba));
75   for (M = 0; M < n; ++M) {
76     PetscCall(MatCreateNormal(suba[M], *submat + M));
77     ((Mat_Normal *)(*submat)[M]->data)->scale = a->scale;
78   }
79   PetscCall(ISDestroy(&row[0]));
80   PetscCall(PetscFree(row));
81   PetscCall(MatDestroySubMatrices(n, &suba));
82   PetscFunctionReturn(PETSC_SUCCESS);
83 }
84 
85 static PetscErrorCode MatPermute_Normal(Mat A, IS rowp, IS colp, Mat *B)
86 {
87   Mat_Normal *a = (Mat_Normal *)A->data;
88   Mat         C, Aa = a->A;
89   IS          row;
90 
91   PetscFunctionBegin;
92   PetscCheck(rowp == colp, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_INCOMP, "Row permutation and column permutation must be the same");
93   PetscCall(ISCreateStride(PetscObjectComm((PetscObject)Aa), Aa->rmap->n, Aa->rmap->rstart, 1, &row));
94   PetscCall(ISSetIdentity(row));
95   PetscCall(MatPermute(Aa, row, colp, &C));
96   PetscCall(ISDestroy(&row));
97   PetscCall(MatCreateNormal(C, B));
98   PetscCall(MatDestroy(&C));
99   PetscFunctionReturn(PETSC_SUCCESS);
100 }
101 
102 static PetscErrorCode MatDuplicate_Normal(Mat A, MatDuplicateOption op, Mat *B)
103 {
104   Mat_Normal *a = (Mat_Normal *)A->data;
105   Mat         C;
106 
107   PetscFunctionBegin;
108   PetscCheck(!a->left && !a->right, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Not implemented");
109   PetscCall(MatDuplicate(a->A, op, &C));
110   PetscCall(MatCreateNormal(C, B));
111   PetscCall(MatDestroy(&C));
112   if (op == MAT_COPY_VALUES) ((Mat_Normal *)(*B)->data)->scale = a->scale;
113   PetscFunctionReturn(PETSC_SUCCESS);
114 }
115 
116 static PetscErrorCode MatCopy_Normal(Mat A, Mat B, MatStructure str)
117 {
118   Mat_Normal *a = (Mat_Normal *)A->data, *b = (Mat_Normal *)B->data;
119 
120   PetscFunctionBegin;
121   PetscCheck(!a->left && !a->right, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Not implemented");
122   PetscCall(MatCopy(a->A, b->A, str));
123   b->scale = a->scale;
124   PetscCall(VecDestroy(&b->left));
125   PetscCall(VecDestroy(&b->right));
126   PetscCall(VecDestroy(&b->leftwork));
127   PetscCall(VecDestroy(&b->rightwork));
128   PetscFunctionReturn(PETSC_SUCCESS);
129 }
130 
131 static PetscErrorCode MatMult_Normal(Mat N, Vec x, Vec y)
132 {
133   Mat_Normal *Na = (Mat_Normal *)N->data;
134   Vec         in;
135 
136   PetscFunctionBegin;
137   in = x;
138   if (Na->right) {
139     if (!Na->rightwork) PetscCall(VecDuplicate(Na->right, &Na->rightwork));
140     PetscCall(VecPointwiseMult(Na->rightwork, Na->right, in));
141     in = Na->rightwork;
142   }
143   PetscCall(MatMult(Na->A, in, Na->w));
144   PetscCall(MatMultTranspose(Na->A, Na->w, y));
145   if (Na->left) PetscCall(VecPointwiseMult(y, Na->left, y));
146   PetscCall(VecScale(y, Na->scale));
147   PetscFunctionReturn(PETSC_SUCCESS);
148 }
149 
150 static PetscErrorCode MatMultAdd_Normal(Mat N, Vec v1, Vec v2, Vec v3)
151 {
152   Mat_Normal *Na = (Mat_Normal *)N->data;
153   Vec         in;
154 
155   PetscFunctionBegin;
156   in = v1;
157   if (Na->right) {
158     if (!Na->rightwork) PetscCall(VecDuplicate(Na->right, &Na->rightwork));
159     PetscCall(VecPointwiseMult(Na->rightwork, Na->right, in));
160     in = Na->rightwork;
161   }
162   PetscCall(MatMult(Na->A, in, Na->w));
163   PetscCall(VecScale(Na->w, Na->scale));
164   if (Na->left) {
165     PetscCall(MatMultTranspose(Na->A, Na->w, v3));
166     PetscCall(VecPointwiseMult(v3, Na->left, v3));
167     PetscCall(VecAXPY(v3, 1.0, v2));
168   } else {
169     PetscCall(MatMultTransposeAdd(Na->A, Na->w, v2, v3));
170   }
171   PetscFunctionReturn(PETSC_SUCCESS);
172 }
173 
174 static PetscErrorCode MatMultTranspose_Normal(Mat N, Vec x, Vec y)
175 {
176   Mat_Normal *Na = (Mat_Normal *)N->data;
177   Vec         in;
178 
179   PetscFunctionBegin;
180   in = x;
181   if (Na->left) {
182     if (!Na->leftwork) PetscCall(VecDuplicate(Na->left, &Na->leftwork));
183     PetscCall(VecPointwiseMult(Na->leftwork, Na->left, in));
184     in = Na->leftwork;
185   }
186   PetscCall(MatMult(Na->A, in, Na->w));
187   PetscCall(MatMultTranspose(Na->A, Na->w, y));
188   if (Na->right) PetscCall(VecPointwiseMult(y, Na->right, y));
189   PetscCall(VecScale(y, Na->scale));
190   PetscFunctionReturn(PETSC_SUCCESS);
191 }
192 
193 static PetscErrorCode MatMultTransposeAdd_Normal(Mat N, Vec v1, Vec v2, Vec v3)
194 {
195   Mat_Normal *Na = (Mat_Normal *)N->data;
196   Vec         in;
197 
198   PetscFunctionBegin;
199   in = v1;
200   if (Na->left) {
201     if (!Na->leftwork) PetscCall(VecDuplicate(Na->left, &Na->leftwork));
202     PetscCall(VecPointwiseMult(Na->leftwork, Na->left, in));
203     in = Na->leftwork;
204   }
205   PetscCall(MatMult(Na->A, in, Na->w));
206   PetscCall(VecScale(Na->w, Na->scale));
207   if (Na->right) {
208     PetscCall(MatMultTranspose(Na->A, Na->w, v3));
209     PetscCall(VecPointwiseMult(v3, Na->right, v3));
210     PetscCall(VecAXPY(v3, 1.0, v2));
211   } else {
212     PetscCall(MatMultTransposeAdd(Na->A, Na->w, v2, v3));
213   }
214   PetscFunctionReturn(PETSC_SUCCESS);
215 }
216 
217 static PetscErrorCode MatDestroy_Normal(Mat N)
218 {
219   Mat_Normal *Na = (Mat_Normal *)N->data;
220 
221   PetscFunctionBegin;
222   PetscCall(MatDestroy(&Na->A));
223   PetscCall(MatDestroy(&Na->D));
224   PetscCall(VecDestroy(&Na->w));
225   PetscCall(VecDestroy(&Na->left));
226   PetscCall(VecDestroy(&Na->right));
227   PetscCall(VecDestroy(&Na->leftwork));
228   PetscCall(VecDestroy(&Na->rightwork));
229   PetscCall(PetscFree(N->data));
230   PetscCall(PetscObjectComposeFunction((PetscObject)N, "MatNormalGetMat_C", NULL));
231   PetscCall(PetscObjectComposeFunction((PetscObject)N, "MatConvert_normal_seqaij_C", NULL));
232   PetscCall(PetscObjectComposeFunction((PetscObject)N, "MatConvert_normal_mpiaij_C", NULL));
233 #if defined(PETSC_HAVE_HYPRE)
234   PetscCall(PetscObjectComposeFunction((PetscObject)N, "MatConvert_normal_hypre_C", NULL));
235 #endif
236   PetscCall(PetscObjectComposeFunction((PetscObject)N, "MatProductSetFromOptions_normal_seqdense_C", NULL));
237   PetscCall(PetscObjectComposeFunction((PetscObject)N, "MatProductSetFromOptions_normal_mpidense_C", NULL));
238   PetscCall(PetscObjectComposeFunction((PetscObject)N, "MatProductSetFromOptions_normal_dense_C", NULL));
239   PetscFunctionReturn(PETSC_SUCCESS);
240 }
241 
242 /*
243       Slow, nonscalable version
244 */
245 static PetscErrorCode MatGetDiagonal_Normal(Mat N, Vec v)
246 {
247   Mat_Normal        *Na = (Mat_Normal *)N->data;
248   Mat                A  = Na->A;
249   PetscInt           i, j, rstart, rend, nnz;
250   const PetscInt    *cols;
251   PetscScalar       *diag, *work, *values;
252   const PetscScalar *mvalues;
253 
254   PetscFunctionBegin;
255   PetscCall(PetscMalloc2(A->cmap->N, &diag, A->cmap->N, &work));
256   PetscCall(PetscArrayzero(work, A->cmap->N));
257   PetscCall(MatGetOwnershipRange(A, &rstart, &rend));
258   for (i = rstart; i < rend; i++) {
259     PetscCall(MatGetRow(A, i, &nnz, &cols, &mvalues));
260     for (j = 0; j < nnz; j++) work[cols[j]] += mvalues[j] * mvalues[j];
261     PetscCall(MatRestoreRow(A, i, &nnz, &cols, &mvalues));
262   }
263   PetscCall(MPIU_Allreduce(work, diag, A->cmap->N, MPIU_SCALAR, MPIU_SUM, PetscObjectComm((PetscObject)N)));
264   rstart = N->cmap->rstart;
265   rend   = N->cmap->rend;
266   PetscCall(VecGetArray(v, &values));
267   PetscCall(PetscArraycpy(values, diag + rstart, rend - rstart));
268   PetscCall(VecRestoreArray(v, &values));
269   PetscCall(PetscFree2(diag, work));
270   PetscCall(VecScale(v, Na->scale));
271   PetscFunctionReturn(PETSC_SUCCESS);
272 }
273 
274 static PetscErrorCode MatGetDiagonalBlock_Normal(Mat N, Mat *D)
275 {
276   Mat_Normal *Na = (Mat_Normal *)N->data;
277   Mat         M, A = Na->A;
278 
279   PetscFunctionBegin;
280   PetscCall(MatGetDiagonalBlock(A, &M));
281   PetscCall(MatCreateNormal(M, &Na->D));
282   *D = Na->D;
283   PetscFunctionReturn(PETSC_SUCCESS);
284 }
285 
286 static PetscErrorCode MatNormalGetMat_Normal(Mat A, Mat *M)
287 {
288   Mat_Normal *Aa = (Mat_Normal *)A->data;
289 
290   PetscFunctionBegin;
291   *M = Aa->A;
292   PetscFunctionReturn(PETSC_SUCCESS);
293 }
294 
295 /*@
296   MatNormalGetMat - Gets the `Mat` object stored inside a `MATNORMAL`
297 
298   Logically Collective
299 
300   Input Parameter:
301 . A - the `MATNORMAL` matrix
302 
303   Output Parameter:
304 . M - the matrix object stored inside `A`
305 
306   Level: intermediate
307 
308 .seealso: [](ch_matrices), `Mat`, `MATNORMAL`, `MATNORMALHERMITIAN`, `MatCreateNormal()`
309 @*/
310 PetscErrorCode MatNormalGetMat(Mat A, Mat *M)
311 {
312   PetscFunctionBegin;
313   PetscValidHeaderSpecific(A, MAT_CLASSID, 1);
314   PetscValidType(A, 1);
315   PetscAssertPointer(M, 2);
316   PetscUseMethod(A, "MatNormalGetMat_C", (Mat, Mat *), (A, M));
317   PetscFunctionReturn(PETSC_SUCCESS);
318 }
319 
320 static PetscErrorCode MatConvert_Normal_AIJ(Mat A, MatType newtype, MatReuse reuse, Mat *newmat)
321 {
322   Mat_Normal *Aa = (Mat_Normal *)A->data;
323   Mat         B;
324   PetscInt    m, n, M, N;
325 
326   PetscFunctionBegin;
327   PetscCall(MatGetSize(A, &M, &N));
328   PetscCall(MatGetLocalSize(A, &m, &n));
329   if (reuse == MAT_REUSE_MATRIX) {
330     B = *newmat;
331     PetscCall(MatProductReplaceMats(Aa->A, Aa->A, NULL, B));
332   } else {
333     PetscCall(MatProductCreate(Aa->A, Aa->A, NULL, &B));
334     PetscCall(MatProductSetType(B, MATPRODUCT_AtB));
335     PetscCall(MatProductSetFromOptions(B));
336     PetscCall(MatProductSymbolic(B));
337     PetscCall(MatSetOption(B, MAT_SYMMETRIC, PETSC_TRUE));
338   }
339   PetscCall(MatProductNumeric(B));
340   if (reuse == MAT_INPLACE_MATRIX) {
341     PetscCall(MatHeaderReplace(A, &B));
342   } else if (reuse == MAT_INITIAL_MATRIX) *newmat = B;
343   PetscCall(MatConvert(*newmat, MATAIJ, MAT_INPLACE_MATRIX, newmat));
344   PetscFunctionReturn(PETSC_SUCCESS);
345 }
346 
347 #if defined(PETSC_HAVE_HYPRE)
348 static PetscErrorCode MatConvert_Normal_HYPRE(Mat A, MatType type, MatReuse reuse, Mat *B)
349 {
350   PetscFunctionBegin;
351   if (reuse == MAT_INITIAL_MATRIX) {
352     PetscCall(MatConvert(A, MATAIJ, reuse, B));
353     PetscCall(MatConvert(*B, type, MAT_INPLACE_MATRIX, B));
354   } else PetscCall(MatConvert_Basic(A, type, reuse, B)); /* fall back to basic convert */
355   PetscFunctionReturn(PETSC_SUCCESS);
356 }
357 #endif
358 
359 typedef struct {
360   Mat work[2];
361 } Normal_Dense;
362 
363 static PetscErrorCode MatProductNumeric_Normal_Dense(Mat C)
364 {
365   Mat           A, B;
366   Normal_Dense *contents;
367   Mat_Normal   *a;
368   PetscScalar  *array;
369 
370   PetscFunctionBegin;
371   MatCheckProduct(C, 1);
372   A        = C->product->A;
373   a        = (Mat_Normal *)A->data;
374   B        = C->product->B;
375   contents = (Normal_Dense *)C->product->data;
376   PetscCheck(contents, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data empty");
377   if (a->right) {
378     PetscCall(MatCopy(B, C, SAME_NONZERO_PATTERN));
379     PetscCall(MatDiagonalScale(C, a->right, NULL));
380   }
381   PetscCall(MatProductNumeric(contents->work[0]));
382   PetscCall(MatDenseGetArrayWrite(C, &array));
383   PetscCall(MatDensePlaceArray(contents->work[1], array));
384   PetscCall(MatProductNumeric(contents->work[1]));
385   PetscCall(MatDenseRestoreArrayWrite(C, &array));
386   PetscCall(MatDenseResetArray(contents->work[1]));
387   PetscCall(MatSetOption(C, MAT_NO_OFF_PROC_ENTRIES, PETSC_TRUE));
388   PetscCall(MatAssemblyBegin(C, MAT_FINAL_ASSEMBLY));
389   PetscCall(MatAssemblyEnd(C, MAT_FINAL_ASSEMBLY));
390   PetscCall(MatScale(C, a->scale));
391   PetscFunctionReturn(PETSC_SUCCESS);
392 }
393 
394 static PetscErrorCode MatNormal_DenseDestroy(void *ctx)
395 {
396   Normal_Dense *contents = (Normal_Dense *)ctx;
397 
398   PetscFunctionBegin;
399   PetscCall(MatDestroy(contents->work));
400   PetscCall(MatDestroy(contents->work + 1));
401   PetscCall(PetscFree(contents));
402   PetscFunctionReturn(PETSC_SUCCESS);
403 }
404 
405 static PetscErrorCode MatProductSymbolic_Normal_Dense(Mat C)
406 {
407   Mat           A, B;
408   Normal_Dense *contents = NULL;
409   Mat_Normal   *a;
410   PetscScalar  *array;
411   PetscInt      n, N, m, M;
412 
413   PetscFunctionBegin;
414   MatCheckProduct(C, 1);
415   PetscCheck(!C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data not empty");
416   A = C->product->A;
417   a = (Mat_Normal *)A->data;
418   PetscCheck(!a->left, PetscObjectComm((PetscObject)C), PETSC_ERR_SUP, "Not implemented");
419   B = C->product->B;
420   PetscCall(MatGetLocalSize(C, &m, &n));
421   PetscCall(MatGetSize(C, &M, &N));
422   if (m == PETSC_DECIDE || n == PETSC_DECIDE || M == PETSC_DECIDE || N == PETSC_DECIDE) {
423     PetscCall(MatGetLocalSize(B, NULL, &n));
424     PetscCall(MatGetSize(B, NULL, &N));
425     PetscCall(MatGetLocalSize(A, &m, NULL));
426     PetscCall(MatGetSize(A, &M, NULL));
427     PetscCall(MatSetSizes(C, m, n, M, N));
428   }
429   PetscCall(MatSetType(C, ((PetscObject)B)->type_name));
430   PetscCall(MatSetUp(C));
431   PetscCall(PetscNew(&contents));
432   C->product->data    = contents;
433   C->product->destroy = MatNormal_DenseDestroy;
434   if (a->right) {
435     PetscCall(MatProductCreate(a->A, C, NULL, contents->work));
436   } else {
437     PetscCall(MatProductCreate(a->A, B, NULL, contents->work));
438   }
439   PetscCall(MatProductSetType(contents->work[0], MATPRODUCT_AB));
440   PetscCall(MatProductSetFromOptions(contents->work[0]));
441   PetscCall(MatProductSymbolic(contents->work[0]));
442   PetscCall(MatProductCreate(a->A, contents->work[0], NULL, contents->work + 1));
443   PetscCall(MatProductSetType(contents->work[1], MATPRODUCT_AtB));
444   PetscCall(MatProductSetFromOptions(contents->work[1]));
445   PetscCall(MatProductSymbolic(contents->work[1]));
446   PetscCall(MatDenseGetArrayWrite(C, &array));
447   PetscCall(MatSeqDenseSetPreallocation(contents->work[1], array));
448   PetscCall(MatMPIDenseSetPreallocation(contents->work[1], array));
449   PetscCall(MatDenseRestoreArrayWrite(C, &array));
450   C->ops->productnumeric = MatProductNumeric_Normal_Dense;
451   PetscFunctionReturn(PETSC_SUCCESS);
452 }
453 
454 static PetscErrorCode MatProductSetFromOptions_Normal_Dense_AB(Mat C)
455 {
456   PetscFunctionBegin;
457   C->ops->productsymbolic = MatProductSymbolic_Normal_Dense;
458   PetscFunctionReturn(PETSC_SUCCESS);
459 }
460 
461 static PetscErrorCode MatProductSetFromOptions_Normal_Dense(Mat C)
462 {
463   Mat_Product *product = C->product;
464 
465   PetscFunctionBegin;
466   if (product->type == MATPRODUCT_AB) PetscCall(MatProductSetFromOptions_Normal_Dense_AB(C));
467   PetscFunctionReturn(PETSC_SUCCESS);
468 }
469 
470 /*MC
471   MATNORMAL - a matrix that behaves like A'*A for `MatMult()` while only containing A
472 
473   Level: intermediate
474 
475 .seealso: [](ch_matrices), `Mat`, `MatCreateNormal()`, `MatMult()`, `MatNormalGetMat()`, `MATNORMALHERMITIAN`, `MatCreateNormalHermitian()`
476 M*/
477 
478 /*@
479   MatCreateNormal - Creates a new `MATNORMAL` matrix object that behaves like A'*A.
480 
481   Collective
482 
483   Input Parameter:
484 . A - the (possibly rectangular) matrix
485 
486   Output Parameter:
487 . N - the matrix that represents A'*A
488 
489   Level: intermediate
490 
491   Notes:
492   The product A'*A is NOT actually formed! Rather the new matrix
493   object performs the matrix-vector product, `MatMult()`, by first multiplying by
494   A and then A'
495 
496 .seealso: [](ch_matrices), `Mat`, `MATNORMAL`, `MatMult()`, `MatNormalGetMat()`, `MATNORMALHERMITIAN`, `MatCreateNormalHermitian()`
497 @*/
498 PetscErrorCode MatCreateNormal(Mat A, Mat *N)
499 {
500   PetscInt    n, nn;
501   Mat_Normal *Na;
502   VecType     vtype;
503 
504   PetscFunctionBegin;
505   PetscCall(MatGetSize(A, NULL, &nn));
506   PetscCall(MatGetLocalSize(A, NULL, &n));
507   PetscCall(MatCreate(PetscObjectComm((PetscObject)A), N));
508   PetscCall(MatSetSizes(*N, n, n, nn, nn));
509   PetscCall(PetscObjectChangeTypeName((PetscObject)*N, MATNORMAL));
510   PetscCall(PetscLayoutReference(A->cmap, &(*N)->rmap));
511   PetscCall(PetscLayoutReference(A->cmap, &(*N)->cmap));
512 
513   PetscCall(PetscNew(&Na));
514   (*N)->data = (void *)Na;
515   PetscCall(PetscObjectReference((PetscObject)A));
516   Na->A     = A;
517   Na->scale = 1.0;
518 
519   PetscCall(MatCreateVecs(A, NULL, &Na->w));
520 
521   (*N)->ops->destroy           = MatDestroy_Normal;
522   (*N)->ops->mult              = MatMult_Normal;
523   (*N)->ops->multtranspose     = MatMultTranspose_Normal;
524   (*N)->ops->multtransposeadd  = MatMultTransposeAdd_Normal;
525   (*N)->ops->multadd           = MatMultAdd_Normal;
526   (*N)->ops->getdiagonal       = MatGetDiagonal_Normal;
527   (*N)->ops->getdiagonalblock  = MatGetDiagonalBlock_Normal;
528   (*N)->ops->scale             = MatScale_Normal;
529   (*N)->ops->diagonalscale     = MatDiagonalScale_Normal;
530   (*N)->ops->increaseoverlap   = MatIncreaseOverlap_Normal;
531   (*N)->ops->createsubmatrices = MatCreateSubMatrices_Normal;
532   (*N)->ops->permute           = MatPermute_Normal;
533   (*N)->ops->duplicate         = MatDuplicate_Normal;
534   (*N)->ops->copy              = MatCopy_Normal;
535   (*N)->assembled              = PETSC_TRUE;
536   (*N)->preallocated           = PETSC_TRUE;
537 
538   PetscCall(PetscObjectComposeFunction((PetscObject)(*N), "MatNormalGetMat_C", MatNormalGetMat_Normal));
539   PetscCall(PetscObjectComposeFunction((PetscObject)(*N), "MatConvert_normal_seqaij_C", MatConvert_Normal_AIJ));
540   PetscCall(PetscObjectComposeFunction((PetscObject)(*N), "MatConvert_normal_mpiaij_C", MatConvert_Normal_AIJ));
541 #if defined(PETSC_HAVE_HYPRE)
542   PetscCall(PetscObjectComposeFunction((PetscObject)(*N), "MatConvert_normal_hypre_C", MatConvert_Normal_HYPRE));
543 #endif
544   PetscCall(PetscObjectComposeFunction((PetscObject)(*N), "MatProductSetFromOptions_normal_seqdense_C", MatProductSetFromOptions_Normal_Dense));
545   PetscCall(PetscObjectComposeFunction((PetscObject)(*N), "MatProductSetFromOptions_normal_mpidense_C", MatProductSetFromOptions_Normal_Dense));
546   PetscCall(PetscObjectComposeFunction((PetscObject)(*N), "MatProductSetFromOptions_normal_dense_C", MatProductSetFromOptions_Normal_Dense));
547   PetscCall(MatSetOption(*N, MAT_SYMMETRIC, PETSC_TRUE));
548   PetscCall(MatGetVecType(A, &vtype));
549   PetscCall(MatSetVecType(*N, vtype));
550 #if defined(PETSC_HAVE_DEVICE)
551   PetscCall(MatBindToCPU(*N, A->boundtocpu));
552 #endif
553   PetscFunctionReturn(PETSC_SUCCESS);
554 }
555