1 2 /* 3 Defines the basic matrix operations for sequential dense. 4 */ 5 6 #include <../src/mat/impls/dense/seq/dense.h> /*I "petscmat.h" I*/ 7 #include <petscblaslapack.h> 8 9 #include <../src/mat/impls/aij/seq/aij.h> 10 11 #undef __FUNCT__ 12 #define __FUNCT__ "MatConvert_SeqDense_SeqAIJ" 13 PETSC_EXTERN PetscErrorCode MatConvert_SeqDense_SeqAIJ(Mat A, MatType newtype,MatReuse reuse,Mat *newmat) 14 { 15 Mat B; 16 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 17 PetscErrorCode ierr; 18 PetscInt i; 19 PetscInt *rows; 20 MatScalar *aa = a->v; 21 22 PetscFunctionBegin; 23 ierr = MatCreate(PetscObjectComm((PetscObject)A),&B);CHKERRQ(ierr); 24 ierr = MatSetSizes(B,A->rmap->n,A->cmap->n,A->rmap->N,A->cmap->N);CHKERRQ(ierr); 25 ierr = MatSetType(B,MATSEQAIJ);CHKERRQ(ierr); 26 ierr = MatSeqAIJSetPreallocation(B,A->cmap->n,NULL);CHKERRQ(ierr); 27 28 ierr = PetscMalloc(A->rmap->n*sizeof(PetscInt),&rows);CHKERRQ(ierr); 29 for (i=0; i<A->rmap->n; i++) rows[i] = i; 30 31 for (i=0; i<A->cmap->n; i++) { 32 ierr = MatSetValues(B,A->rmap->n,rows,1,&i,aa,INSERT_VALUES);CHKERRQ(ierr); 33 aa += a->lda; 34 } 35 ierr = PetscFree(rows);CHKERRQ(ierr); 36 ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 37 ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 38 39 if (reuse == MAT_REUSE_MATRIX) { 40 ierr = MatHeaderReplace(A,B);CHKERRQ(ierr); 41 } else { 42 *newmat = B; 43 } 44 PetscFunctionReturn(0); 45 } 46 47 #undef __FUNCT__ 48 #define __FUNCT__ "MatAXPY_SeqDense" 49 PetscErrorCode MatAXPY_SeqDense(Mat Y,PetscScalar alpha,Mat X,MatStructure str) 50 { 51 Mat_SeqDense *x = (Mat_SeqDense*)X->data,*y = (Mat_SeqDense*)Y->data; 52 PetscScalar oalpha = alpha; 53 PetscInt j; 54 PetscBLASInt N,m,ldax,lday,one = 1; 55 PetscErrorCode ierr; 56 57 PetscFunctionBegin; 58 ierr = PetscBLASIntCast(X->rmap->n*X->cmap->n,&N);CHKERRQ(ierr); 59 ierr = PetscBLASIntCast(X->rmap->n,&m);CHKERRQ(ierr); 60 ierr = PetscBLASIntCast(x->lda,&ldax);CHKERRQ(ierr); 61 ierr = PetscBLASIntCast(y->lda,&lday);CHKERRQ(ierr); 62 if (ldax>m || lday>m) { 63 for (j=0; j<X->cmap->n; j++) { 64 PetscStackCallBLAS("BLASaxpy",BLASaxpy_(&m,&oalpha,x->v+j*ldax,&one,y->v+j*lday,&one)); 65 } 66 } else { 67 PetscStackCallBLAS("BLASaxpy",BLASaxpy_(&N,&oalpha,x->v,&one,y->v,&one)); 68 } 69 ierr = PetscLogFlops(PetscMax(2*N-1,0));CHKERRQ(ierr); 70 PetscFunctionReturn(0); 71 } 72 73 #undef __FUNCT__ 74 #define __FUNCT__ "MatGetInfo_SeqDense" 75 PetscErrorCode MatGetInfo_SeqDense(Mat A,MatInfoType flag,MatInfo *info) 76 { 77 PetscInt N = A->rmap->n*A->cmap->n; 78 79 PetscFunctionBegin; 80 info->block_size = 1.0; 81 info->nz_allocated = (double)N; 82 info->nz_used = (double)N; 83 info->nz_unneeded = (double)0; 84 info->assemblies = (double)A->num_ass; 85 info->mallocs = 0; 86 info->memory = ((PetscObject)A)->mem; 87 info->fill_ratio_given = 0; 88 info->fill_ratio_needed = 0; 89 info->factor_mallocs = 0; 90 PetscFunctionReturn(0); 91 } 92 93 #undef __FUNCT__ 94 #define __FUNCT__ "MatScale_SeqDense" 95 PetscErrorCode MatScale_SeqDense(Mat A,PetscScalar alpha) 96 { 97 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 98 PetscScalar oalpha = alpha; 99 PetscErrorCode ierr; 100 PetscBLASInt one = 1,j,nz,lda; 101 102 PetscFunctionBegin; 103 ierr = PetscBLASIntCast(a->lda,&lda);CHKERRQ(ierr); 104 if (lda>A->rmap->n) { 105 ierr = PetscBLASIntCast(A->rmap->n,&nz);CHKERRQ(ierr); 106 for (j=0; j<A->cmap->n; j++) { 107 PetscStackCallBLAS("BLASscal",BLASscal_(&nz,&oalpha,a->v+j*lda,&one)); 108 } 109 } else { 110 ierr = PetscBLASIntCast(A->rmap->n*A->cmap->n,&nz);CHKERRQ(ierr); 111 PetscStackCallBLAS("BLASscal",BLASscal_(&nz,&oalpha,a->v,&one)); 112 } 113 ierr = PetscLogFlops(nz);CHKERRQ(ierr); 114 PetscFunctionReturn(0); 115 } 116 117 #undef __FUNCT__ 118 #define __FUNCT__ "MatIsHermitian_SeqDense" 119 PetscErrorCode MatIsHermitian_SeqDense(Mat A,PetscReal rtol,PetscBool *fl) 120 { 121 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 122 PetscInt i,j,m = A->rmap->n,N; 123 PetscScalar *v = a->v; 124 125 PetscFunctionBegin; 126 *fl = PETSC_FALSE; 127 if (A->rmap->n != A->cmap->n) PetscFunctionReturn(0); 128 N = a->lda; 129 130 for (i=0; i<m; i++) { 131 for (j=i+1; j<m; j++) { 132 if (PetscAbsScalar(v[i+j*N] - PetscConj(v[j+i*N])) > rtol) PetscFunctionReturn(0); 133 } 134 } 135 *fl = PETSC_TRUE; 136 PetscFunctionReturn(0); 137 } 138 139 #undef __FUNCT__ 140 #define __FUNCT__ "MatDuplicateNoCreate_SeqDense" 141 PetscErrorCode MatDuplicateNoCreate_SeqDense(Mat newi,Mat A,MatDuplicateOption cpvalues) 142 { 143 Mat_SeqDense *mat = (Mat_SeqDense*)A->data,*l; 144 PetscErrorCode ierr; 145 PetscInt lda = (PetscInt)mat->lda,j,m; 146 147 PetscFunctionBegin; 148 ierr = PetscLayoutReference(A->rmap,&newi->rmap);CHKERRQ(ierr); 149 ierr = PetscLayoutReference(A->cmap,&newi->cmap);CHKERRQ(ierr); 150 ierr = MatSeqDenseSetPreallocation(newi,NULL);CHKERRQ(ierr); 151 if (cpvalues == MAT_COPY_VALUES) { 152 l = (Mat_SeqDense*)newi->data; 153 if (lda>A->rmap->n) { 154 m = A->rmap->n; 155 for (j=0; j<A->cmap->n; j++) { 156 ierr = PetscMemcpy(l->v+j*m,mat->v+j*lda,m*sizeof(PetscScalar));CHKERRQ(ierr); 157 } 158 } else { 159 ierr = PetscMemcpy(l->v,mat->v,A->rmap->n*A->cmap->n*sizeof(PetscScalar));CHKERRQ(ierr); 160 } 161 } 162 newi->assembled = PETSC_TRUE; 163 PetscFunctionReturn(0); 164 } 165 166 #undef __FUNCT__ 167 #define __FUNCT__ "MatDuplicate_SeqDense" 168 PetscErrorCode MatDuplicate_SeqDense(Mat A,MatDuplicateOption cpvalues,Mat *newmat) 169 { 170 PetscErrorCode ierr; 171 172 PetscFunctionBegin; 173 ierr = MatCreate(PetscObjectComm((PetscObject)A),newmat);CHKERRQ(ierr); 174 ierr = MatSetSizes(*newmat,A->rmap->n,A->cmap->n,A->rmap->n,A->cmap->n);CHKERRQ(ierr); 175 ierr = MatSetType(*newmat,((PetscObject)A)->type_name);CHKERRQ(ierr); 176 ierr = MatDuplicateNoCreate_SeqDense(*newmat,A,cpvalues);CHKERRQ(ierr); 177 PetscFunctionReturn(0); 178 } 179 180 181 extern PetscErrorCode MatLUFactor_SeqDense(Mat,IS,IS,const MatFactorInfo*); 182 183 #undef __FUNCT__ 184 #define __FUNCT__ "MatLUFactorNumeric_SeqDense" 185 PetscErrorCode MatLUFactorNumeric_SeqDense(Mat fact,Mat A,const MatFactorInfo *info_dummy) 186 { 187 MatFactorInfo info; 188 PetscErrorCode ierr; 189 190 PetscFunctionBegin; 191 ierr = MatDuplicateNoCreate_SeqDense(fact,A,MAT_COPY_VALUES);CHKERRQ(ierr); 192 ierr = MatLUFactor_SeqDense(fact,0,0,&info);CHKERRQ(ierr); 193 PetscFunctionReturn(0); 194 } 195 196 #undef __FUNCT__ 197 #define __FUNCT__ "MatSolve_SeqDense" 198 PetscErrorCode MatSolve_SeqDense(Mat A,Vec xx,Vec yy) 199 { 200 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 201 PetscErrorCode ierr; 202 PetscScalar *x,*y; 203 PetscBLASInt one = 1,info,m; 204 205 PetscFunctionBegin; 206 ierr = PetscBLASIntCast(A->rmap->n,&m);CHKERRQ(ierr); 207 ierr = VecGetArray(xx,&x);CHKERRQ(ierr); 208 ierr = VecGetArray(yy,&y);CHKERRQ(ierr); 209 ierr = PetscMemcpy(y,x,A->rmap->n*sizeof(PetscScalar));CHKERRQ(ierr); 210 if (A->factortype == MAT_FACTOR_LU) { 211 #if defined(PETSC_MISSING_LAPACK_GETRS) 212 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"GETRS - Lapack routine is unavailable."); 213 #else 214 PetscStackCallBLAS("LAPACKgetrs",LAPACKgetrs_("N",&m,&one,mat->v,&mat->lda,mat->pivots,y,&m,&info)); 215 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"GETRS - Bad solve"); 216 #endif 217 } else if (A->factortype == MAT_FACTOR_CHOLESKY) { 218 #if defined(PETSC_MISSING_LAPACK_POTRS) 219 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"POTRS - Lapack routine is unavailable."); 220 #else 221 PetscStackCallBLAS("LAPACKpotrs",LAPACKpotrs_("L",&m,&one,mat->v,&mat->lda,y,&m,&info)); 222 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"POTRS Bad solve"); 223 #endif 224 } else SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"Matrix must be factored to solve"); 225 ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr); 226 ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr); 227 ierr = PetscLogFlops(2.0*A->cmap->n*A->cmap->n - A->cmap->n);CHKERRQ(ierr); 228 PetscFunctionReturn(0); 229 } 230 231 #undef __FUNCT__ 232 #define __FUNCT__ "MatMatSolve_SeqDense" 233 PetscErrorCode MatMatSolve_SeqDense(Mat A,Mat B,Mat X) 234 { 235 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 236 PetscErrorCode ierr; 237 PetscScalar *b,*x; 238 PetscInt n; 239 PetscBLASInt nrhs,info,m; 240 PetscBool flg; 241 242 PetscFunctionBegin; 243 ierr = PetscBLASIntCast(A->rmap->n,&m);CHKERRQ(ierr); 244 ierr = PetscObjectTypeCompareAny((PetscObject)B,&flg,MATSEQDENSE,MATMPIDENSE,NULL);CHKERRQ(ierr); 245 if (!flg) SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_ARG_WRONG,"Matrix B must be MATDENSE matrix"); 246 ierr = PetscObjectTypeCompareAny((PetscObject)X,&flg,MATSEQDENSE,MATMPIDENSE,NULL);CHKERRQ(ierr); 247 if (!flg) SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_ARG_WRONG,"Matrix X must be MATDENSE matrix"); 248 249 ierr = MatGetSize(B,NULL,&n);CHKERRQ(ierr); 250 ierr = PetscBLASIntCast(n,&nrhs);CHKERRQ(ierr); 251 ierr = MatDenseGetArray(B,&b);CHKERRQ(ierr); 252 ierr = MatDenseGetArray(X,&x);CHKERRQ(ierr); 253 254 ierr = PetscMemcpy(x,b,m*nrhs*sizeof(PetscScalar));CHKERRQ(ierr); 255 256 if (A->factortype == MAT_FACTOR_LU) { 257 #if defined(PETSC_MISSING_LAPACK_GETRS) 258 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"GETRS - Lapack routine is unavailable."); 259 #else 260 PetscStackCallBLAS("LAPACKgetrs",LAPACKgetrs_("N",&m,&nrhs,mat->v,&mat->lda,mat->pivots,x,&m,&info)); 261 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"GETRS - Bad solve"); 262 #endif 263 } else if (A->factortype == MAT_FACTOR_CHOLESKY) { 264 #if defined(PETSC_MISSING_LAPACK_POTRS) 265 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"POTRS - Lapack routine is unavailable."); 266 #else 267 PetscStackCallBLAS("LAPACKpotrs",LAPACKpotrs_("L",&m,&nrhs,mat->v,&mat->lda,x,&m,&info)); 268 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"POTRS Bad solve"); 269 #endif 270 } else SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"Matrix must be factored to solve"); 271 272 ierr = MatDenseRestoreArray(B,&b);CHKERRQ(ierr); 273 ierr = MatDenseRestoreArray(X,&x);CHKERRQ(ierr); 274 ierr = PetscLogFlops(nrhs*(2.0*m*m - m));CHKERRQ(ierr); 275 PetscFunctionReturn(0); 276 } 277 278 #undef __FUNCT__ 279 #define __FUNCT__ "MatSolveTranspose_SeqDense" 280 PetscErrorCode MatSolveTranspose_SeqDense(Mat A,Vec xx,Vec yy) 281 { 282 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 283 PetscErrorCode ierr; 284 PetscScalar *x,*y; 285 PetscBLASInt one = 1,info,m; 286 287 PetscFunctionBegin; 288 ierr = PetscBLASIntCast(A->rmap->n,&m);CHKERRQ(ierr); 289 ierr = VecGetArray(xx,&x);CHKERRQ(ierr); 290 ierr = VecGetArray(yy,&y);CHKERRQ(ierr); 291 ierr = PetscMemcpy(y,x,A->rmap->n*sizeof(PetscScalar));CHKERRQ(ierr); 292 /* assume if pivots exist then use LU; else Cholesky */ 293 if (mat->pivots) { 294 #if defined(PETSC_MISSING_LAPACK_GETRS) 295 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"GETRS - Lapack routine is unavailable."); 296 #else 297 PetscStackCallBLAS("LAPACKgetrs",LAPACKgetrs_("T",&m,&one,mat->v,&mat->lda,mat->pivots,y,&m,&info)); 298 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"POTRS - Bad solve"); 299 #endif 300 } else { 301 #if defined(PETSC_MISSING_LAPACK_POTRS) 302 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"POTRS - Lapack routine is unavailable."); 303 #else 304 PetscStackCallBLAS("LAPACKpotrs",LAPACKpotrs_("L",&m,&one,mat->v,&mat->lda,y,&m,&info)); 305 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"POTRS - Bad solve"); 306 #endif 307 } 308 ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr); 309 ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr); 310 ierr = PetscLogFlops(2.0*A->cmap->n*A->cmap->n - A->cmap->n);CHKERRQ(ierr); 311 PetscFunctionReturn(0); 312 } 313 314 #undef __FUNCT__ 315 #define __FUNCT__ "MatSolveAdd_SeqDense" 316 PetscErrorCode MatSolveAdd_SeqDense(Mat A,Vec xx,Vec zz,Vec yy) 317 { 318 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 319 PetscErrorCode ierr; 320 PetscScalar *x,*y,sone = 1.0; 321 Vec tmp = 0; 322 PetscBLASInt one = 1,info,m; 323 324 PetscFunctionBegin; 325 ierr = PetscBLASIntCast(A->rmap->n,&m);CHKERRQ(ierr); 326 ierr = VecGetArray(xx,&x);CHKERRQ(ierr); 327 ierr = VecGetArray(yy,&y);CHKERRQ(ierr); 328 if (!A->rmap->n || !A->cmap->n) PetscFunctionReturn(0); 329 if (yy == zz) { 330 ierr = VecDuplicate(yy,&tmp);CHKERRQ(ierr); 331 ierr = PetscLogObjectParent((PetscObject)A,(PetscObject)tmp);CHKERRQ(ierr); 332 ierr = VecCopy(yy,tmp);CHKERRQ(ierr); 333 } 334 ierr = PetscMemcpy(y,x,A->rmap->n*sizeof(PetscScalar));CHKERRQ(ierr); 335 /* assume if pivots exist then use LU; else Cholesky */ 336 if (mat->pivots) { 337 #if defined(PETSC_MISSING_LAPACK_GETRS) 338 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"GETRS - Lapack routine is unavailable."); 339 #else 340 PetscStackCallBLAS("LAPACKgetrs",LAPACKgetrs_("N",&m,&one,mat->v,&mat->lda,mat->pivots,y,&m,&info)); 341 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"Bad solve"); 342 #endif 343 } else { 344 #if defined(PETSC_MISSING_LAPACK_POTRS) 345 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"POTRS - Lapack routine is unavailable."); 346 #else 347 PetscStackCallBLAS("LAPACKpotrs",LAPACKpotrs_("L",&m,&one,mat->v,&mat->lda,y,&m,&info)); 348 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"Bad solve"); 349 #endif 350 } 351 if (tmp) { 352 ierr = VecAXPY(yy,sone,tmp);CHKERRQ(ierr); 353 ierr = VecDestroy(&tmp);CHKERRQ(ierr); 354 } else { 355 ierr = VecAXPY(yy,sone,zz);CHKERRQ(ierr); 356 } 357 ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr); 358 ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr); 359 ierr = PetscLogFlops(2.0*A->cmap->n*A->cmap->n);CHKERRQ(ierr); 360 PetscFunctionReturn(0); 361 } 362 363 #undef __FUNCT__ 364 #define __FUNCT__ "MatSolveTransposeAdd_SeqDense" 365 PetscErrorCode MatSolveTransposeAdd_SeqDense(Mat A,Vec xx,Vec zz,Vec yy) 366 { 367 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 368 PetscErrorCode ierr; 369 PetscScalar *x,*y,sone = 1.0; 370 Vec tmp; 371 PetscBLASInt one = 1,info,m; 372 373 PetscFunctionBegin; 374 ierr = PetscBLASIntCast(A->rmap->n,&m);CHKERRQ(ierr); 375 if (!A->rmap->n || !A->cmap->n) PetscFunctionReturn(0); 376 ierr = VecGetArray(xx,&x);CHKERRQ(ierr); 377 ierr = VecGetArray(yy,&y);CHKERRQ(ierr); 378 if (yy == zz) { 379 ierr = VecDuplicate(yy,&tmp);CHKERRQ(ierr); 380 ierr = PetscLogObjectParent((PetscObject)A,(PetscObject)tmp);CHKERRQ(ierr); 381 ierr = VecCopy(yy,tmp);CHKERRQ(ierr); 382 } 383 ierr = PetscMemcpy(y,x,A->rmap->n*sizeof(PetscScalar));CHKERRQ(ierr); 384 /* assume if pivots exist then use LU; else Cholesky */ 385 if (mat->pivots) { 386 #if defined(PETSC_MISSING_LAPACK_GETRS) 387 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"GETRS - Lapack routine is unavailable."); 388 #else 389 PetscStackCallBLAS("LAPACKgetrs",LAPACKgetrs_("T",&m,&one,mat->v,&mat->lda,mat->pivots,y,&m,&info)); 390 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"Bad solve"); 391 #endif 392 } else { 393 #if defined(PETSC_MISSING_LAPACK_POTRS) 394 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"POTRS - Lapack routine is unavailable."); 395 #else 396 PetscStackCallBLAS("LAPACKpotrs",LAPACKpotrs_("L",&m,&one,mat->v,&mat->lda,y,&m,&info)); 397 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"Bad solve"); 398 #endif 399 } 400 if (tmp) { 401 ierr = VecAXPY(yy,sone,tmp);CHKERRQ(ierr); 402 ierr = VecDestroy(&tmp);CHKERRQ(ierr); 403 } else { 404 ierr = VecAXPY(yy,sone,zz);CHKERRQ(ierr); 405 } 406 ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr); 407 ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr); 408 ierr = PetscLogFlops(2.0*A->cmap->n*A->cmap->n);CHKERRQ(ierr); 409 PetscFunctionReturn(0); 410 } 411 412 /* ---------------------------------------------------------------*/ 413 /* COMMENT: I have chosen to hide row permutation in the pivots, 414 rather than put it in the Mat->row slot.*/ 415 #undef __FUNCT__ 416 #define __FUNCT__ "MatLUFactor_SeqDense" 417 PetscErrorCode MatLUFactor_SeqDense(Mat A,IS row,IS col,const MatFactorInfo *minfo) 418 { 419 #if defined(PETSC_MISSING_LAPACK_GETRF) 420 PetscFunctionBegin; 421 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"GETRF - Lapack routine is unavailable."); 422 #else 423 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 424 PetscErrorCode ierr; 425 PetscBLASInt n,m,info; 426 427 PetscFunctionBegin; 428 ierr = PetscBLASIntCast(A->cmap->n,&n);CHKERRQ(ierr); 429 ierr = PetscBLASIntCast(A->rmap->n,&m);CHKERRQ(ierr); 430 if (!mat->pivots) { 431 ierr = PetscMalloc((A->rmap->n+1)*sizeof(PetscBLASInt),&mat->pivots);CHKERRQ(ierr); 432 ierr = PetscLogObjectMemory((PetscObject)A,A->rmap->n*sizeof(PetscBLASInt));CHKERRQ(ierr); 433 } 434 if (!A->rmap->n || !A->cmap->n) PetscFunctionReturn(0); 435 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 436 PetscStackCallBLAS("LAPACKgetrf",LAPACKgetrf_(&m,&n,mat->v,&mat->lda,mat->pivots,&info)); 437 ierr = PetscFPTrapPop();CHKERRQ(ierr); 438 439 if (info<0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"Bad argument to LU factorization"); 440 if (info>0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_MAT_LU_ZRPVT,"Bad LU factorization"); 441 A->ops->solve = MatSolve_SeqDense; 442 A->ops->solvetranspose = MatSolveTranspose_SeqDense; 443 A->ops->solveadd = MatSolveAdd_SeqDense; 444 A->ops->solvetransposeadd = MatSolveTransposeAdd_SeqDense; 445 A->factortype = MAT_FACTOR_LU; 446 447 ierr = PetscLogFlops((2.0*A->cmap->n*A->cmap->n*A->cmap->n)/3);CHKERRQ(ierr); 448 #endif 449 PetscFunctionReturn(0); 450 } 451 452 #undef __FUNCT__ 453 #define __FUNCT__ "MatCholeskyFactor_SeqDense" 454 PetscErrorCode MatCholeskyFactor_SeqDense(Mat A,IS perm,const MatFactorInfo *factinfo) 455 { 456 #if defined(PETSC_MISSING_LAPACK_POTRF) 457 PetscFunctionBegin; 458 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"POTRF - Lapack routine is unavailable."); 459 #else 460 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 461 PetscErrorCode ierr; 462 PetscBLASInt info,n; 463 464 PetscFunctionBegin; 465 ierr = PetscBLASIntCast(A->cmap->n,&n);CHKERRQ(ierr); 466 ierr = PetscFree(mat->pivots);CHKERRQ(ierr); 467 468 if (!A->rmap->n || !A->cmap->n) PetscFunctionReturn(0); 469 PetscStackCallBLAS("LAPACKpotrf",LAPACKpotrf_("L",&n,mat->v,&mat->lda,&info)); 470 if (info) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_MAT_CH_ZRPVT,"Bad factorization: zero pivot in row %D",(PetscInt)info-1); 471 A->ops->solve = MatSolve_SeqDense; 472 A->ops->solvetranspose = MatSolveTranspose_SeqDense; 473 A->ops->solveadd = MatSolveAdd_SeqDense; 474 A->ops->solvetransposeadd = MatSolveTransposeAdd_SeqDense; 475 A->factortype = MAT_FACTOR_CHOLESKY; 476 477 ierr = PetscLogFlops((A->cmap->n*A->cmap->n*A->cmap->n)/3.0);CHKERRQ(ierr); 478 #endif 479 PetscFunctionReturn(0); 480 } 481 482 483 #undef __FUNCT__ 484 #define __FUNCT__ "MatCholeskyFactorNumeric_SeqDense" 485 PetscErrorCode MatCholeskyFactorNumeric_SeqDense(Mat fact,Mat A,const MatFactorInfo *info_dummy) 486 { 487 PetscErrorCode ierr; 488 MatFactorInfo info; 489 490 PetscFunctionBegin; 491 info.fill = 1.0; 492 493 ierr = MatDuplicateNoCreate_SeqDense(fact,A,MAT_COPY_VALUES);CHKERRQ(ierr); 494 ierr = MatCholeskyFactor_SeqDense(fact,0,&info);CHKERRQ(ierr); 495 PetscFunctionReturn(0); 496 } 497 498 #undef __FUNCT__ 499 #define __FUNCT__ "MatCholeskyFactorSymbolic_SeqDense" 500 PetscErrorCode MatCholeskyFactorSymbolic_SeqDense(Mat fact,Mat A,IS row,const MatFactorInfo *info) 501 { 502 PetscFunctionBegin; 503 fact->assembled = PETSC_TRUE; 504 fact->preallocated = PETSC_TRUE; 505 fact->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqDense; 506 PetscFunctionReturn(0); 507 } 508 509 #undef __FUNCT__ 510 #define __FUNCT__ "MatLUFactorSymbolic_SeqDense" 511 PetscErrorCode MatLUFactorSymbolic_SeqDense(Mat fact,Mat A,IS row,IS col,const MatFactorInfo *info) 512 { 513 PetscFunctionBegin; 514 fact->preallocated = PETSC_TRUE; 515 fact->assembled = PETSC_TRUE; 516 fact->ops->lufactornumeric = MatLUFactorNumeric_SeqDense; 517 PetscFunctionReturn(0); 518 } 519 520 #undef __FUNCT__ 521 #define __FUNCT__ "MatGetFactor_seqdense_petsc" 522 PETSC_EXTERN PetscErrorCode MatGetFactor_seqdense_petsc(Mat A,MatFactorType ftype,Mat *fact) 523 { 524 PetscErrorCode ierr; 525 526 PetscFunctionBegin; 527 ierr = MatCreate(PetscObjectComm((PetscObject)A),fact);CHKERRQ(ierr); 528 ierr = MatSetSizes(*fact,A->rmap->n,A->cmap->n,A->rmap->n,A->cmap->n);CHKERRQ(ierr); 529 ierr = MatSetType(*fact,((PetscObject)A)->type_name);CHKERRQ(ierr); 530 if (ftype == MAT_FACTOR_LU) { 531 (*fact)->ops->lufactorsymbolic = MatLUFactorSymbolic_SeqDense; 532 } else { 533 (*fact)->ops->choleskyfactorsymbolic = MatCholeskyFactorSymbolic_SeqDense; 534 } 535 (*fact)->factortype = ftype; 536 PetscFunctionReturn(0); 537 } 538 539 /* ------------------------------------------------------------------*/ 540 #undef __FUNCT__ 541 #define __FUNCT__ "MatSOR_SeqDense" 542 PetscErrorCode MatSOR_SeqDense(Mat A,Vec bb,PetscReal omega,MatSORType flag,PetscReal shift,PetscInt its,PetscInt lits,Vec xx) 543 { 544 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 545 PetscScalar *x,*b,*v = mat->v,zero = 0.0,xt; 546 PetscErrorCode ierr; 547 PetscInt m = A->rmap->n,i; 548 PetscBLASInt o = 1,bm; 549 550 PetscFunctionBegin; 551 ierr = PetscBLASIntCast(m,&bm);CHKERRQ(ierr); 552 if (flag & SOR_ZERO_INITIAL_GUESS) { 553 /* this is a hack fix, should have another version without the second BLASdot */ 554 ierr = VecSet(xx,zero);CHKERRQ(ierr); 555 } 556 ierr = VecGetArray(xx,&x);CHKERRQ(ierr); 557 ierr = VecGetArray(bb,&b);CHKERRQ(ierr); 558 its = its*lits; 559 if (its <= 0) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"Relaxation requires global its %D and local its %D both positive",its,lits); 560 while (its--) { 561 if (flag & SOR_FORWARD_SWEEP || flag & SOR_LOCAL_FORWARD_SWEEP) { 562 for (i=0; i<m; i++) { 563 PetscStackCallBLAS("BLASdot",xt = b[i] - BLASdot_(&bm,v+i,&bm,x,&o)); 564 x[i] = (1. - omega)*x[i] + omega*(xt+v[i + i*m]*x[i])/(v[i + i*m]+shift); 565 } 566 } 567 if (flag & SOR_BACKWARD_SWEEP || flag & SOR_LOCAL_BACKWARD_SWEEP) { 568 for (i=m-1; i>=0; i--) { 569 PetscStackCallBLAS("BLASdot",xt = b[i] - BLASdot_(&bm,v+i,&bm,x,&o)); 570 x[i] = (1. - omega)*x[i] + omega*(xt+v[i + i*m]*x[i])/(v[i + i*m]+shift); 571 } 572 } 573 } 574 ierr = VecRestoreArray(bb,&b);CHKERRQ(ierr); 575 ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr); 576 PetscFunctionReturn(0); 577 } 578 579 /* -----------------------------------------------------------------*/ 580 #undef __FUNCT__ 581 #define __FUNCT__ "MatMultTranspose_SeqDense" 582 PetscErrorCode MatMultTranspose_SeqDense(Mat A,Vec xx,Vec yy) 583 { 584 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 585 PetscScalar *v = mat->v,*x,*y; 586 PetscErrorCode ierr; 587 PetscBLASInt m, n,_One=1; 588 PetscScalar _DOne=1.0,_DZero=0.0; 589 590 PetscFunctionBegin; 591 ierr = PetscBLASIntCast(A->rmap->n,&m);CHKERRQ(ierr); 592 ierr = PetscBLASIntCast(A->cmap->n,&n);CHKERRQ(ierr); 593 if (!A->rmap->n || !A->cmap->n) PetscFunctionReturn(0); 594 ierr = VecGetArray(xx,&x);CHKERRQ(ierr); 595 ierr = VecGetArray(yy,&y);CHKERRQ(ierr); 596 PetscStackCallBLAS("BLASgemv",BLASgemv_("T",&m,&n,&_DOne,v,&mat->lda,x,&_One,&_DZero,y,&_One)); 597 ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr); 598 ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr); 599 ierr = PetscLogFlops(2.0*A->rmap->n*A->cmap->n - A->cmap->n);CHKERRQ(ierr); 600 PetscFunctionReturn(0); 601 } 602 603 #undef __FUNCT__ 604 #define __FUNCT__ "MatMult_SeqDense" 605 PetscErrorCode MatMult_SeqDense(Mat A,Vec xx,Vec yy) 606 { 607 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 608 PetscScalar *v = mat->v,*x,*y,_DOne=1.0,_DZero=0.0; 609 PetscErrorCode ierr; 610 PetscBLASInt m, n, _One=1; 611 612 PetscFunctionBegin; 613 ierr = PetscBLASIntCast(A->rmap->n,&m);CHKERRQ(ierr); 614 ierr = PetscBLASIntCast(A->cmap->n,&n);CHKERRQ(ierr); 615 if (!A->rmap->n || !A->cmap->n) PetscFunctionReturn(0); 616 ierr = VecGetArray(xx,&x);CHKERRQ(ierr); 617 ierr = VecGetArray(yy,&y);CHKERRQ(ierr); 618 PetscStackCallBLAS("BLASgemv",BLASgemv_("N",&m,&n,&_DOne,v,&(mat->lda),x,&_One,&_DZero,y,&_One)); 619 ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr); 620 ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr); 621 ierr = PetscLogFlops(2.0*A->rmap->n*A->cmap->n - A->rmap->n);CHKERRQ(ierr); 622 PetscFunctionReturn(0); 623 } 624 625 #undef __FUNCT__ 626 #define __FUNCT__ "MatMultAdd_SeqDense" 627 PetscErrorCode MatMultAdd_SeqDense(Mat A,Vec xx,Vec zz,Vec yy) 628 { 629 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 630 PetscScalar *v = mat->v,*x,*y,_DOne=1.0; 631 PetscErrorCode ierr; 632 PetscBLASInt m, n, _One=1; 633 634 PetscFunctionBegin; 635 ierr = PetscBLASIntCast(A->rmap->n,&m);CHKERRQ(ierr); 636 ierr = PetscBLASIntCast(A->cmap->n,&n);CHKERRQ(ierr); 637 if (!A->rmap->n || !A->cmap->n) PetscFunctionReturn(0); 638 if (zz != yy) {ierr = VecCopy(zz,yy);CHKERRQ(ierr);} 639 ierr = VecGetArray(xx,&x);CHKERRQ(ierr); 640 ierr = VecGetArray(yy,&y);CHKERRQ(ierr); 641 PetscStackCallBLAS("BLASgemv",BLASgemv_("N",&m,&n,&_DOne,v,&(mat->lda),x,&_One,&_DOne,y,&_One)); 642 ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr); 643 ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr); 644 ierr = PetscLogFlops(2.0*A->rmap->n*A->cmap->n);CHKERRQ(ierr); 645 PetscFunctionReturn(0); 646 } 647 648 #undef __FUNCT__ 649 #define __FUNCT__ "MatMultTransposeAdd_SeqDense" 650 PetscErrorCode MatMultTransposeAdd_SeqDense(Mat A,Vec xx,Vec zz,Vec yy) 651 { 652 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 653 PetscScalar *v = mat->v,*x,*y; 654 PetscErrorCode ierr; 655 PetscBLASInt m, n, _One=1; 656 PetscScalar _DOne=1.0; 657 658 PetscFunctionBegin; 659 ierr = PetscBLASIntCast(A->rmap->n,&m);CHKERRQ(ierr); 660 ierr = PetscBLASIntCast(A->cmap->n,&n);CHKERRQ(ierr); 661 if (!A->rmap->n || !A->cmap->n) PetscFunctionReturn(0); 662 if (zz != yy) {ierr = VecCopy(zz,yy);CHKERRQ(ierr);} 663 ierr = VecGetArray(xx,&x);CHKERRQ(ierr); 664 ierr = VecGetArray(yy,&y);CHKERRQ(ierr); 665 PetscStackCallBLAS("BLASgemv",BLASgemv_("T",&m,&n,&_DOne,v,&(mat->lda),x,&_One,&_DOne,y,&_One)); 666 ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr); 667 ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr); 668 ierr = PetscLogFlops(2.0*A->rmap->n*A->cmap->n);CHKERRQ(ierr); 669 PetscFunctionReturn(0); 670 } 671 672 /* -----------------------------------------------------------------*/ 673 #undef __FUNCT__ 674 #define __FUNCT__ "MatGetRow_SeqDense" 675 PetscErrorCode MatGetRow_SeqDense(Mat A,PetscInt row,PetscInt *ncols,PetscInt **cols,PetscScalar **vals) 676 { 677 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 678 PetscScalar *v; 679 PetscErrorCode ierr; 680 PetscInt i; 681 682 PetscFunctionBegin; 683 *ncols = A->cmap->n; 684 if (cols) { 685 ierr = PetscMalloc((A->cmap->n+1)*sizeof(PetscInt),cols);CHKERRQ(ierr); 686 for (i=0; i<A->cmap->n; i++) (*cols)[i] = i; 687 } 688 if (vals) { 689 ierr = PetscMalloc((A->cmap->n+1)*sizeof(PetscScalar),vals);CHKERRQ(ierr); 690 v = mat->v + row; 691 for (i=0; i<A->cmap->n; i++) {(*vals)[i] = *v; v += mat->lda;} 692 } 693 PetscFunctionReturn(0); 694 } 695 696 #undef __FUNCT__ 697 #define __FUNCT__ "MatRestoreRow_SeqDense" 698 PetscErrorCode MatRestoreRow_SeqDense(Mat A,PetscInt row,PetscInt *ncols,PetscInt **cols,PetscScalar **vals) 699 { 700 PetscErrorCode ierr; 701 702 PetscFunctionBegin; 703 if (cols) {ierr = PetscFree(*cols);CHKERRQ(ierr);} 704 if (vals) {ierr = PetscFree(*vals);CHKERRQ(ierr); } 705 PetscFunctionReturn(0); 706 } 707 /* ----------------------------------------------------------------*/ 708 #undef __FUNCT__ 709 #define __FUNCT__ "MatSetValues_SeqDense" 710 PetscErrorCode MatSetValues_SeqDense(Mat A,PetscInt m,const PetscInt indexm[],PetscInt n,const PetscInt indexn[],const PetscScalar v[],InsertMode addv) 711 { 712 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 713 PetscInt i,j,idx=0; 714 715 PetscFunctionBegin; 716 if (v) PetscValidScalarPointer(v,6); 717 if (!mat->roworiented) { 718 if (addv == INSERT_VALUES) { 719 for (j=0; j<n; j++) { 720 if (indexn[j] < 0) {idx += m; continue;} 721 #if defined(PETSC_USE_DEBUG) 722 if (indexn[j] >= A->cmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Column too large: col %D max %D",indexn[j],A->cmap->n-1); 723 #endif 724 for (i=0; i<m; i++) { 725 if (indexm[i] < 0) {idx++; continue;} 726 #if defined(PETSC_USE_DEBUG) 727 if (indexm[i] >= A->rmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Row too large: row %D max %D",indexm[i],A->rmap->n-1); 728 #endif 729 mat->v[indexn[j]*mat->lda + indexm[i]] = v[idx++]; 730 } 731 } 732 } else { 733 for (j=0; j<n; j++) { 734 if (indexn[j] < 0) {idx += m; continue;} 735 #if defined(PETSC_USE_DEBUG) 736 if (indexn[j] >= A->cmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Column too large: col %D max %D",indexn[j],A->cmap->n-1); 737 #endif 738 for (i=0; i<m; i++) { 739 if (indexm[i] < 0) {idx++; continue;} 740 #if defined(PETSC_USE_DEBUG) 741 if (indexm[i] >= A->rmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Row too large: row %D max %D",indexm[i],A->rmap->n-1); 742 #endif 743 mat->v[indexn[j]*mat->lda + indexm[i]] += v[idx++]; 744 } 745 } 746 } 747 } else { 748 if (addv == INSERT_VALUES) { 749 for (i=0; i<m; i++) { 750 if (indexm[i] < 0) { idx += n; continue;} 751 #if defined(PETSC_USE_DEBUG) 752 if (indexm[i] >= A->rmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Row too large: row %D max %D",indexm[i],A->rmap->n-1); 753 #endif 754 for (j=0; j<n; j++) { 755 if (indexn[j] < 0) { idx++; continue;} 756 #if defined(PETSC_USE_DEBUG) 757 if (indexn[j] >= A->cmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Column too large: col %D max %D",indexn[j],A->cmap->n-1); 758 #endif 759 mat->v[indexn[j]*mat->lda + indexm[i]] = v[idx++]; 760 } 761 } 762 } else { 763 for (i=0; i<m; i++) { 764 if (indexm[i] < 0) { idx += n; continue;} 765 #if defined(PETSC_USE_DEBUG) 766 if (indexm[i] >= A->rmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Row too large: row %D max %D",indexm[i],A->rmap->n-1); 767 #endif 768 for (j=0; j<n; j++) { 769 if (indexn[j] < 0) { idx++; continue;} 770 #if defined(PETSC_USE_DEBUG) 771 if (indexn[j] >= A->cmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Column too large: col %D max %D",indexn[j],A->cmap->n-1); 772 #endif 773 mat->v[indexn[j]*mat->lda + indexm[i]] += v[idx++]; 774 } 775 } 776 } 777 } 778 PetscFunctionReturn(0); 779 } 780 781 #undef __FUNCT__ 782 #define __FUNCT__ "MatGetValues_SeqDense" 783 PetscErrorCode MatGetValues_SeqDense(Mat A,PetscInt m,const PetscInt indexm[],PetscInt n,const PetscInt indexn[],PetscScalar v[]) 784 { 785 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 786 PetscInt i,j; 787 788 PetscFunctionBegin; 789 /* row-oriented output */ 790 for (i=0; i<m; i++) { 791 if (indexm[i] < 0) {v += n;continue;} 792 if (indexm[i] >= A->rmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Row %D requested larger than number rows %D",indexm[i],A->rmap->n); 793 for (j=0; j<n; j++) { 794 if (indexn[j] < 0) {v++; continue;} 795 if (indexn[j] >= A->cmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Column %D requested larger than number columns %D",indexn[j],A->cmap->n); 796 *v++ = mat->v[indexn[j]*mat->lda + indexm[i]]; 797 } 798 } 799 PetscFunctionReturn(0); 800 } 801 802 /* -----------------------------------------------------------------*/ 803 804 #undef __FUNCT__ 805 #define __FUNCT__ "MatLoad_SeqDense" 806 PetscErrorCode MatLoad_SeqDense(Mat newmat,PetscViewer viewer) 807 { 808 Mat_SeqDense *a; 809 PetscErrorCode ierr; 810 PetscInt *scols,i,j,nz,header[4]; 811 int fd; 812 PetscMPIInt size; 813 PetscInt *rowlengths = 0,M,N,*cols,grows,gcols; 814 PetscScalar *vals,*svals,*v,*w; 815 MPI_Comm comm; 816 817 PetscFunctionBegin; 818 ierr = PetscObjectGetComm((PetscObject)viewer,&comm);CHKERRQ(ierr); 819 ierr = MPI_Comm_size(comm,&size);CHKERRQ(ierr); 820 if (size > 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"view must have one processor"); 821 ierr = PetscViewerBinaryGetDescriptor(viewer,&fd);CHKERRQ(ierr); 822 ierr = PetscBinaryRead(fd,header,4,PETSC_INT);CHKERRQ(ierr); 823 if (header[0] != MAT_FILE_CLASSID) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_FILE_UNEXPECTED,"Not matrix object"); 824 M = header[1]; N = header[2]; nz = header[3]; 825 826 /* set global size if not set already*/ 827 if (newmat->rmap->n < 0 && newmat->rmap->N < 0 && newmat->cmap->n < 0 && newmat->cmap->N < 0) { 828 ierr = MatSetSizes(newmat,M,N,M,N);CHKERRQ(ierr); 829 } else { 830 /* if sizes and type are already set, check if the vector global sizes are correct */ 831 ierr = MatGetSize(newmat,&grows,&gcols);CHKERRQ(ierr); 832 if (M != grows || N != gcols) SETERRQ4(PETSC_COMM_SELF,PETSC_ERR_FILE_UNEXPECTED, "Matrix in file of different length (%d, %d) than the input matrix (%d, %d)",M,N,grows,gcols); 833 } 834 ierr = MatSeqDenseSetPreallocation(newmat,NULL);CHKERRQ(ierr); 835 836 if (nz == MATRIX_BINARY_FORMAT_DENSE) { /* matrix in file is dense */ 837 a = (Mat_SeqDense*)newmat->data; 838 v = a->v; 839 /* Allocate some temp space to read in the values and then flip them 840 from row major to column major */ 841 ierr = PetscMalloc((M*N > 0 ? M*N : 1)*sizeof(PetscScalar),&w);CHKERRQ(ierr); 842 /* read in nonzero values */ 843 ierr = PetscBinaryRead(fd,w,M*N,PETSC_SCALAR);CHKERRQ(ierr); 844 /* now flip the values and store them in the matrix*/ 845 for (j=0; j<N; j++) { 846 for (i=0; i<M; i++) { 847 *v++ =w[i*N+j]; 848 } 849 } 850 ierr = PetscFree(w);CHKERRQ(ierr); 851 } else { 852 /* read row lengths */ 853 ierr = PetscMalloc((M+1)*sizeof(PetscInt),&rowlengths);CHKERRQ(ierr); 854 ierr = PetscBinaryRead(fd,rowlengths,M,PETSC_INT);CHKERRQ(ierr); 855 856 a = (Mat_SeqDense*)newmat->data; 857 v = a->v; 858 859 /* read column indices and nonzeros */ 860 ierr = PetscMalloc((nz+1)*sizeof(PetscInt),&scols);CHKERRQ(ierr); 861 cols = scols; 862 ierr = PetscBinaryRead(fd,cols,nz,PETSC_INT);CHKERRQ(ierr); 863 ierr = PetscMalloc((nz+1)*sizeof(PetscScalar),&svals);CHKERRQ(ierr); 864 vals = svals; 865 ierr = PetscBinaryRead(fd,vals,nz,PETSC_SCALAR);CHKERRQ(ierr); 866 867 /* insert into matrix */ 868 for (i=0; i<M; i++) { 869 for (j=0; j<rowlengths[i]; j++) v[i+M*scols[j]] = svals[j]; 870 svals += rowlengths[i]; scols += rowlengths[i]; 871 } 872 ierr = PetscFree(vals);CHKERRQ(ierr); 873 ierr = PetscFree(cols);CHKERRQ(ierr); 874 ierr = PetscFree(rowlengths);CHKERRQ(ierr); 875 } 876 ierr = MatAssemblyBegin(newmat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 877 ierr = MatAssemblyEnd(newmat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 878 PetscFunctionReturn(0); 879 } 880 881 #undef __FUNCT__ 882 #define __FUNCT__ "MatView_SeqDense_ASCII" 883 static PetscErrorCode MatView_SeqDense_ASCII(Mat A,PetscViewer viewer) 884 { 885 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 886 PetscErrorCode ierr; 887 PetscInt i,j; 888 const char *name; 889 PetscScalar *v; 890 PetscViewerFormat format; 891 #if defined(PETSC_USE_COMPLEX) 892 PetscBool allreal = PETSC_TRUE; 893 #endif 894 895 PetscFunctionBegin; 896 ierr = PetscViewerGetFormat(viewer,&format);CHKERRQ(ierr); 897 if (format == PETSC_VIEWER_ASCII_INFO || format == PETSC_VIEWER_ASCII_INFO_DETAIL) { 898 PetscFunctionReturn(0); /* do nothing for now */ 899 } else if (format == PETSC_VIEWER_ASCII_COMMON) { 900 ierr = PetscViewerASCIIUseTabs(viewer,PETSC_FALSE);CHKERRQ(ierr); 901 ierr = PetscObjectPrintClassNamePrefixType((PetscObject)A,viewer);CHKERRQ(ierr); 902 for (i=0; i<A->rmap->n; i++) { 903 v = a->v + i; 904 ierr = PetscViewerASCIIPrintf(viewer,"row %D:",i);CHKERRQ(ierr); 905 for (j=0; j<A->cmap->n; j++) { 906 #if defined(PETSC_USE_COMPLEX) 907 if (PetscRealPart(*v) != 0.0 && PetscImaginaryPart(*v) != 0.0) { 908 ierr = PetscViewerASCIIPrintf(viewer," (%D, %G + %G i) ",j,PetscRealPart(*v),PetscImaginaryPart(*v));CHKERRQ(ierr); 909 } else if (PetscRealPart(*v)) { 910 ierr = PetscViewerASCIIPrintf(viewer," (%D, %G) ",j,PetscRealPart(*v));CHKERRQ(ierr); 911 } 912 #else 913 if (*v) { 914 ierr = PetscViewerASCIIPrintf(viewer," (%D, %G) ",j,*v);CHKERRQ(ierr); 915 } 916 #endif 917 v += a->lda; 918 } 919 ierr = PetscViewerASCIIPrintf(viewer,"\n");CHKERRQ(ierr); 920 } 921 ierr = PetscViewerASCIIUseTabs(viewer,PETSC_TRUE);CHKERRQ(ierr); 922 } else { 923 ierr = PetscViewerASCIIUseTabs(viewer,PETSC_FALSE);CHKERRQ(ierr); 924 #if defined(PETSC_USE_COMPLEX) 925 /* determine if matrix has all real values */ 926 v = a->v; 927 for (i=0; i<A->rmap->n*A->cmap->n; i++) { 928 if (PetscImaginaryPart(v[i])) { allreal = PETSC_FALSE; break;} 929 } 930 #endif 931 if (format == PETSC_VIEWER_ASCII_MATLAB) { 932 ierr = PetscObjectGetName((PetscObject)A,&name);CHKERRQ(ierr); 933 ierr = PetscViewerASCIIPrintf(viewer,"%% Size = %D %D \n",A->rmap->n,A->cmap->n);CHKERRQ(ierr); 934 ierr = PetscViewerASCIIPrintf(viewer,"%s = zeros(%D,%D);\n",name,A->rmap->n,A->cmap->n);CHKERRQ(ierr); 935 ierr = PetscViewerASCIIPrintf(viewer,"%s = [\n",name);CHKERRQ(ierr); 936 } else { 937 ierr = PetscObjectPrintClassNamePrefixType((PetscObject)A,viewer);CHKERRQ(ierr); 938 } 939 940 for (i=0; i<A->rmap->n; i++) { 941 v = a->v + i; 942 for (j=0; j<A->cmap->n; j++) { 943 #if defined(PETSC_USE_COMPLEX) 944 if (allreal) { 945 ierr = PetscViewerASCIIPrintf(viewer,"%18.16e ",(double)PetscRealPart(*v));CHKERRQ(ierr); 946 } else { 947 ierr = PetscViewerASCIIPrintf(viewer,"%18.16e + %18.16ei ",(double)PetscRealPart(*v),(double)PetscImaginaryPart(*v));CHKERRQ(ierr); 948 } 949 #else 950 ierr = PetscViewerASCIIPrintf(viewer,"%18.16e ",(double)*v);CHKERRQ(ierr); 951 #endif 952 v += a->lda; 953 } 954 ierr = PetscViewerASCIIPrintf(viewer,"\n");CHKERRQ(ierr); 955 } 956 if (format == PETSC_VIEWER_ASCII_MATLAB) { 957 ierr = PetscViewerASCIIPrintf(viewer,"];\n");CHKERRQ(ierr); 958 } 959 ierr = PetscViewerASCIIUseTabs(viewer,PETSC_TRUE);CHKERRQ(ierr); 960 } 961 ierr = PetscViewerFlush(viewer);CHKERRQ(ierr); 962 PetscFunctionReturn(0); 963 } 964 965 #undef __FUNCT__ 966 #define __FUNCT__ "MatView_SeqDense_Binary" 967 static PetscErrorCode MatView_SeqDense_Binary(Mat A,PetscViewer viewer) 968 { 969 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 970 PetscErrorCode ierr; 971 int fd; 972 PetscInt ict,j,n = A->cmap->n,m = A->rmap->n,i,*col_lens,nz = m*n; 973 PetscScalar *v,*anonz,*vals; 974 PetscViewerFormat format; 975 976 PetscFunctionBegin; 977 ierr = PetscViewerBinaryGetDescriptor(viewer,&fd);CHKERRQ(ierr); 978 979 ierr = PetscViewerGetFormat(viewer,&format);CHKERRQ(ierr); 980 if (format == PETSC_VIEWER_NATIVE) { 981 /* store the matrix as a dense matrix */ 982 ierr = PetscMalloc(4*sizeof(PetscInt),&col_lens);CHKERRQ(ierr); 983 984 col_lens[0] = MAT_FILE_CLASSID; 985 col_lens[1] = m; 986 col_lens[2] = n; 987 col_lens[3] = MATRIX_BINARY_FORMAT_DENSE; 988 989 ierr = PetscBinaryWrite(fd,col_lens,4,PETSC_INT,PETSC_TRUE);CHKERRQ(ierr); 990 ierr = PetscFree(col_lens);CHKERRQ(ierr); 991 992 /* write out matrix, by rows */ 993 ierr = PetscMalloc((m*n+1)*sizeof(PetscScalar),&vals);CHKERRQ(ierr); 994 v = a->v; 995 for (j=0; j<n; j++) { 996 for (i=0; i<m; i++) { 997 vals[j + i*n] = *v++; 998 } 999 } 1000 ierr = PetscBinaryWrite(fd,vals,n*m,PETSC_SCALAR,PETSC_FALSE);CHKERRQ(ierr); 1001 ierr = PetscFree(vals);CHKERRQ(ierr); 1002 } else { 1003 ierr = PetscMalloc((4+nz)*sizeof(PetscInt),&col_lens);CHKERRQ(ierr); 1004 1005 col_lens[0] = MAT_FILE_CLASSID; 1006 col_lens[1] = m; 1007 col_lens[2] = n; 1008 col_lens[3] = nz; 1009 1010 /* store lengths of each row and write (including header) to file */ 1011 for (i=0; i<m; i++) col_lens[4+i] = n; 1012 ierr = PetscBinaryWrite(fd,col_lens,4+m,PETSC_INT,PETSC_TRUE);CHKERRQ(ierr); 1013 1014 /* Possibly should write in smaller increments, not whole matrix at once? */ 1015 /* store column indices (zero start index) */ 1016 ict = 0; 1017 for (i=0; i<m; i++) { 1018 for (j=0; j<n; j++) col_lens[ict++] = j; 1019 } 1020 ierr = PetscBinaryWrite(fd,col_lens,nz,PETSC_INT,PETSC_FALSE);CHKERRQ(ierr); 1021 ierr = PetscFree(col_lens);CHKERRQ(ierr); 1022 1023 /* store nonzero values */ 1024 ierr = PetscMalloc((nz+1)*sizeof(PetscScalar),&anonz);CHKERRQ(ierr); 1025 ict = 0; 1026 for (i=0; i<m; i++) { 1027 v = a->v + i; 1028 for (j=0; j<n; j++) { 1029 anonz[ict++] = *v; v += a->lda; 1030 } 1031 } 1032 ierr = PetscBinaryWrite(fd,anonz,nz,PETSC_SCALAR,PETSC_FALSE);CHKERRQ(ierr); 1033 ierr = PetscFree(anonz);CHKERRQ(ierr); 1034 } 1035 PetscFunctionReturn(0); 1036 } 1037 1038 #include <petscdraw.h> 1039 #undef __FUNCT__ 1040 #define __FUNCT__ "MatView_SeqDense_Draw_Zoom" 1041 PetscErrorCode MatView_SeqDense_Draw_Zoom(PetscDraw draw,void *Aa) 1042 { 1043 Mat A = (Mat) Aa; 1044 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 1045 PetscErrorCode ierr; 1046 PetscInt m = A->rmap->n,n = A->cmap->n,color,i,j; 1047 PetscScalar *v = a->v; 1048 PetscViewer viewer; 1049 PetscDraw popup; 1050 PetscReal xl,yl,xr,yr,x_l,x_r,y_l,y_r,scale,maxv = 0.0; 1051 PetscViewerFormat format; 1052 1053 PetscFunctionBegin; 1054 ierr = PetscObjectQuery((PetscObject)A,"Zoomviewer",(PetscObject*)&viewer);CHKERRQ(ierr); 1055 ierr = PetscViewerGetFormat(viewer,&format);CHKERRQ(ierr); 1056 ierr = PetscDrawGetCoordinates(draw,&xl,&yl,&xr,&yr);CHKERRQ(ierr); 1057 1058 /* Loop over matrix elements drawing boxes */ 1059 if (format != PETSC_VIEWER_DRAW_CONTOUR) { 1060 /* Blue for negative and Red for positive */ 1061 color = PETSC_DRAW_BLUE; 1062 for (j = 0; j < n; j++) { 1063 x_l = j; 1064 x_r = x_l + 1.0; 1065 for (i = 0; i < m; i++) { 1066 y_l = m - i - 1.0; 1067 y_r = y_l + 1.0; 1068 if (PetscRealPart(v[j*m+i]) > 0.) { 1069 color = PETSC_DRAW_RED; 1070 } else if (PetscRealPart(v[j*m+i]) < 0.) { 1071 color = PETSC_DRAW_BLUE; 1072 } else { 1073 continue; 1074 } 1075 ierr = PetscDrawRectangle(draw,x_l,y_l,x_r,y_r,color,color,color,color);CHKERRQ(ierr); 1076 } 1077 } 1078 } else { 1079 /* use contour shading to indicate magnitude of values */ 1080 /* first determine max of all nonzero values */ 1081 for (i = 0; i < m*n; i++) { 1082 if (PetscAbsScalar(v[i]) > maxv) maxv = PetscAbsScalar(v[i]); 1083 } 1084 scale = (245.0 - PETSC_DRAW_BASIC_COLORS)/maxv; 1085 ierr = PetscDrawGetPopup(draw,&popup);CHKERRQ(ierr); 1086 if (popup) {ierr = PetscDrawScalePopup(popup,0.0,maxv);CHKERRQ(ierr);} 1087 for (j = 0; j < n; j++) { 1088 x_l = j; 1089 x_r = x_l + 1.0; 1090 for (i = 0; i < m; i++) { 1091 y_l = m - i - 1.0; 1092 y_r = y_l + 1.0; 1093 color = PETSC_DRAW_BASIC_COLORS + (int)(scale*PetscAbsScalar(v[j*m+i])); 1094 ierr = PetscDrawRectangle(draw,x_l,y_l,x_r,y_r,color,color,color,color);CHKERRQ(ierr); 1095 } 1096 } 1097 } 1098 PetscFunctionReturn(0); 1099 } 1100 1101 #undef __FUNCT__ 1102 #define __FUNCT__ "MatView_SeqDense_Draw" 1103 PetscErrorCode MatView_SeqDense_Draw(Mat A,PetscViewer viewer) 1104 { 1105 PetscDraw draw; 1106 PetscBool isnull; 1107 PetscReal xr,yr,xl,yl,h,w; 1108 PetscErrorCode ierr; 1109 1110 PetscFunctionBegin; 1111 ierr = PetscViewerDrawGetDraw(viewer,0,&draw);CHKERRQ(ierr); 1112 ierr = PetscDrawIsNull(draw,&isnull);CHKERRQ(ierr); 1113 if (isnull) PetscFunctionReturn(0); 1114 1115 ierr = PetscObjectCompose((PetscObject)A,"Zoomviewer",(PetscObject)viewer);CHKERRQ(ierr); 1116 xr = A->cmap->n; yr = A->rmap->n; h = yr/10.0; w = xr/10.0; 1117 xr += w; yr += h; xl = -w; yl = -h; 1118 ierr = PetscDrawSetCoordinates(draw,xl,yl,xr,yr);CHKERRQ(ierr); 1119 ierr = PetscDrawZoom(draw,MatView_SeqDense_Draw_Zoom,A);CHKERRQ(ierr); 1120 ierr = PetscObjectCompose((PetscObject)A,"Zoomviewer",NULL);CHKERRQ(ierr); 1121 PetscFunctionReturn(0); 1122 } 1123 1124 #undef __FUNCT__ 1125 #define __FUNCT__ "MatView_SeqDense" 1126 PetscErrorCode MatView_SeqDense(Mat A,PetscViewer viewer) 1127 { 1128 PetscErrorCode ierr; 1129 PetscBool iascii,isbinary,isdraw; 1130 1131 PetscFunctionBegin; 1132 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr); 1133 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERBINARY,&isbinary);CHKERRQ(ierr); 1134 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERDRAW,&isdraw);CHKERRQ(ierr); 1135 1136 if (iascii) { 1137 ierr = MatView_SeqDense_ASCII(A,viewer);CHKERRQ(ierr); 1138 } else if (isbinary) { 1139 ierr = MatView_SeqDense_Binary(A,viewer);CHKERRQ(ierr); 1140 } else if (isdraw) { 1141 ierr = MatView_SeqDense_Draw(A,viewer);CHKERRQ(ierr); 1142 } 1143 PetscFunctionReturn(0); 1144 } 1145 1146 #undef __FUNCT__ 1147 #define __FUNCT__ "MatDestroy_SeqDense" 1148 PetscErrorCode MatDestroy_SeqDense(Mat mat) 1149 { 1150 Mat_SeqDense *l = (Mat_SeqDense*)mat->data; 1151 PetscErrorCode ierr; 1152 1153 PetscFunctionBegin; 1154 #if defined(PETSC_USE_LOG) 1155 PetscLogObjectState((PetscObject)mat,"Rows %D Cols %D",mat->rmap->n,mat->cmap->n); 1156 #endif 1157 ierr = PetscFree(l->pivots);CHKERRQ(ierr); 1158 if (!l->user_alloc) {ierr = PetscFree(l->v);CHKERRQ(ierr);} 1159 ierr = PetscFree(mat->data);CHKERRQ(ierr); 1160 1161 ierr = PetscObjectChangeTypeName((PetscObject)mat,0);CHKERRQ(ierr); 1162 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDenseGetArray_C",NULL);CHKERRQ(ierr); 1163 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDenseRestoreArray_C",NULL);CHKERRQ(ierr); 1164 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatSeqDenseSetPreallocation_C",NULL);CHKERRQ(ierr); 1165 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatMatMult_seqaij_seqdense_C",NULL);CHKERRQ(ierr); 1166 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatMatMultSymbolic_seqaij_seqdense_C",NULL);CHKERRQ(ierr); 1167 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatMatMultNumeric_seqaij_seqdense_C",NULL);CHKERRQ(ierr); 1168 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatTransposeMatMult_seqaij_seqdense_C",NULL);CHKERRQ(ierr); 1169 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatTransposeMatMultSymbolic_seqaij_seqdense_C",NULL);CHKERRQ(ierr); 1170 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatTransposeMatMultNumeric_seqaij_seqdense_C",NULL);CHKERRQ(ierr); 1171 PetscFunctionReturn(0); 1172 } 1173 1174 #undef __FUNCT__ 1175 #define __FUNCT__ "MatTranspose_SeqDense" 1176 PetscErrorCode MatTranspose_SeqDense(Mat A,MatReuse reuse,Mat *matout) 1177 { 1178 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 1179 PetscErrorCode ierr; 1180 PetscInt k,j,m,n,M; 1181 PetscScalar *v,tmp; 1182 1183 PetscFunctionBegin; 1184 v = mat->v; m = A->rmap->n; M = mat->lda; n = A->cmap->n; 1185 if (reuse == MAT_REUSE_MATRIX && *matout == A) { /* in place transpose */ 1186 if (m != n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Can not transpose non-square matrix in place"); 1187 else { 1188 for (j=0; j<m; j++) { 1189 for (k=0; k<j; k++) { 1190 tmp = v[j + k*M]; 1191 v[j + k*M] = v[k + j*M]; 1192 v[k + j*M] = tmp; 1193 } 1194 } 1195 } 1196 } else { /* out-of-place transpose */ 1197 Mat tmat; 1198 Mat_SeqDense *tmatd; 1199 PetscScalar *v2; 1200 1201 if (reuse == MAT_INITIAL_MATRIX) { 1202 ierr = MatCreate(PetscObjectComm((PetscObject)A),&tmat);CHKERRQ(ierr); 1203 ierr = MatSetSizes(tmat,A->cmap->n,A->rmap->n,A->cmap->n,A->rmap->n);CHKERRQ(ierr); 1204 ierr = MatSetType(tmat,((PetscObject)A)->type_name);CHKERRQ(ierr); 1205 ierr = MatSeqDenseSetPreallocation(tmat,NULL);CHKERRQ(ierr); 1206 } else { 1207 tmat = *matout; 1208 } 1209 tmatd = (Mat_SeqDense*)tmat->data; 1210 v = mat->v; v2 = tmatd->v; 1211 for (j=0; j<n; j++) { 1212 for (k=0; k<m; k++) v2[j + k*n] = v[k + j*M]; 1213 } 1214 ierr = MatAssemblyBegin(tmat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1215 ierr = MatAssemblyEnd(tmat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1216 *matout = tmat; 1217 } 1218 PetscFunctionReturn(0); 1219 } 1220 1221 #undef __FUNCT__ 1222 #define __FUNCT__ "MatEqual_SeqDense" 1223 PetscErrorCode MatEqual_SeqDense(Mat A1,Mat A2,PetscBool *flg) 1224 { 1225 Mat_SeqDense *mat1 = (Mat_SeqDense*)A1->data; 1226 Mat_SeqDense *mat2 = (Mat_SeqDense*)A2->data; 1227 PetscInt i,j; 1228 PetscScalar *v1,*v2; 1229 1230 PetscFunctionBegin; 1231 if (A1->rmap->n != A2->rmap->n) {*flg = PETSC_FALSE; PetscFunctionReturn(0);} 1232 if (A1->cmap->n != A2->cmap->n) {*flg = PETSC_FALSE; PetscFunctionReturn(0);} 1233 for (i=0; i<A1->rmap->n; i++) { 1234 v1 = mat1->v+i; v2 = mat2->v+i; 1235 for (j=0; j<A1->cmap->n; j++) { 1236 if (*v1 != *v2) {*flg = PETSC_FALSE; PetscFunctionReturn(0);} 1237 v1 += mat1->lda; v2 += mat2->lda; 1238 } 1239 } 1240 *flg = PETSC_TRUE; 1241 PetscFunctionReturn(0); 1242 } 1243 1244 #undef __FUNCT__ 1245 #define __FUNCT__ "MatGetDiagonal_SeqDense" 1246 PetscErrorCode MatGetDiagonal_SeqDense(Mat A,Vec v) 1247 { 1248 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 1249 PetscErrorCode ierr; 1250 PetscInt i,n,len; 1251 PetscScalar *x,zero = 0.0; 1252 1253 PetscFunctionBegin; 1254 ierr = VecSet(v,zero);CHKERRQ(ierr); 1255 ierr = VecGetSize(v,&n);CHKERRQ(ierr); 1256 ierr = VecGetArray(v,&x);CHKERRQ(ierr); 1257 len = PetscMin(A->rmap->n,A->cmap->n); 1258 if (n != A->rmap->n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Nonconforming mat and vec"); 1259 for (i=0; i<len; i++) { 1260 x[i] = mat->v[i*mat->lda + i]; 1261 } 1262 ierr = VecRestoreArray(v,&x);CHKERRQ(ierr); 1263 PetscFunctionReturn(0); 1264 } 1265 1266 #undef __FUNCT__ 1267 #define __FUNCT__ "MatDiagonalScale_SeqDense" 1268 PetscErrorCode MatDiagonalScale_SeqDense(Mat A,Vec ll,Vec rr) 1269 { 1270 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 1271 PetscScalar *l,*r,x,*v; 1272 PetscErrorCode ierr; 1273 PetscInt i,j,m = A->rmap->n,n = A->cmap->n; 1274 1275 PetscFunctionBegin; 1276 if (ll) { 1277 ierr = VecGetSize(ll,&m);CHKERRQ(ierr); 1278 ierr = VecGetArray(ll,&l);CHKERRQ(ierr); 1279 if (m != A->rmap->n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Left scaling vec wrong size"); 1280 for (i=0; i<m; i++) { 1281 x = l[i]; 1282 v = mat->v + i; 1283 for (j=0; j<n; j++) { (*v) *= x; v+= m;} 1284 } 1285 ierr = VecRestoreArray(ll,&l);CHKERRQ(ierr); 1286 ierr = PetscLogFlops(n*m);CHKERRQ(ierr); 1287 } 1288 if (rr) { 1289 ierr = VecGetSize(rr,&n);CHKERRQ(ierr); 1290 ierr = VecGetArray(rr,&r);CHKERRQ(ierr); 1291 if (n != A->cmap->n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Right scaling vec wrong size"); 1292 for (i=0; i<n; i++) { 1293 x = r[i]; 1294 v = mat->v + i*m; 1295 for (j=0; j<m; j++) (*v++) *= x; 1296 } 1297 ierr = VecRestoreArray(rr,&r);CHKERRQ(ierr); 1298 ierr = PetscLogFlops(n*m);CHKERRQ(ierr); 1299 } 1300 PetscFunctionReturn(0); 1301 } 1302 1303 #undef __FUNCT__ 1304 #define __FUNCT__ "MatNorm_SeqDense" 1305 PetscErrorCode MatNorm_SeqDense(Mat A,NormType type,PetscReal *nrm) 1306 { 1307 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 1308 PetscScalar *v = mat->v; 1309 PetscReal sum = 0.0; 1310 PetscInt lda =mat->lda,m=A->rmap->n,i,j; 1311 PetscErrorCode ierr; 1312 1313 PetscFunctionBegin; 1314 if (type == NORM_FROBENIUS) { 1315 if (lda>m) { 1316 for (j=0; j<A->cmap->n; j++) { 1317 v = mat->v+j*lda; 1318 for (i=0; i<m; i++) { 1319 sum += PetscRealPart(PetscConj(*v)*(*v)); v++; 1320 } 1321 } 1322 } else { 1323 for (i=0; i<A->cmap->n*A->rmap->n; i++) { 1324 sum += PetscRealPart(PetscConj(*v)*(*v)); v++; 1325 } 1326 } 1327 *nrm = PetscSqrtReal(sum); 1328 ierr = PetscLogFlops(2.0*A->cmap->n*A->rmap->n);CHKERRQ(ierr); 1329 } else if (type == NORM_1) { 1330 *nrm = 0.0; 1331 for (j=0; j<A->cmap->n; j++) { 1332 v = mat->v + j*mat->lda; 1333 sum = 0.0; 1334 for (i=0; i<A->rmap->n; i++) { 1335 sum += PetscAbsScalar(*v); v++; 1336 } 1337 if (sum > *nrm) *nrm = sum; 1338 } 1339 ierr = PetscLogFlops(A->cmap->n*A->rmap->n);CHKERRQ(ierr); 1340 } else if (type == NORM_INFINITY) { 1341 *nrm = 0.0; 1342 for (j=0; j<A->rmap->n; j++) { 1343 v = mat->v + j; 1344 sum = 0.0; 1345 for (i=0; i<A->cmap->n; i++) { 1346 sum += PetscAbsScalar(*v); v += mat->lda; 1347 } 1348 if (sum > *nrm) *nrm = sum; 1349 } 1350 ierr = PetscLogFlops(A->cmap->n*A->rmap->n);CHKERRQ(ierr); 1351 } else SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"No two norm"); 1352 PetscFunctionReturn(0); 1353 } 1354 1355 #undef __FUNCT__ 1356 #define __FUNCT__ "MatSetOption_SeqDense" 1357 PetscErrorCode MatSetOption_SeqDense(Mat A,MatOption op,PetscBool flg) 1358 { 1359 Mat_SeqDense *aij = (Mat_SeqDense*)A->data; 1360 PetscErrorCode ierr; 1361 1362 PetscFunctionBegin; 1363 switch (op) { 1364 case MAT_ROW_ORIENTED: 1365 aij->roworiented = flg; 1366 break; 1367 case MAT_NEW_NONZERO_LOCATIONS: 1368 case MAT_NEW_NONZERO_LOCATION_ERR: 1369 case MAT_NEW_NONZERO_ALLOCATION_ERR: 1370 case MAT_NEW_DIAGONALS: 1371 case MAT_KEEP_NONZERO_PATTERN: 1372 case MAT_IGNORE_OFF_PROC_ENTRIES: 1373 case MAT_USE_HASH_TABLE: 1374 case MAT_IGNORE_LOWER_TRIANGULAR: 1375 ierr = PetscInfo1(A,"Option %s ignored\n",MatOptions[op]);CHKERRQ(ierr); 1376 break; 1377 case MAT_SPD: 1378 case MAT_SYMMETRIC: 1379 case MAT_STRUCTURALLY_SYMMETRIC: 1380 case MAT_HERMITIAN: 1381 case MAT_SYMMETRY_ETERNAL: 1382 /* These options are handled directly by MatSetOption() */ 1383 break; 1384 default: 1385 SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_SUP,"unknown option %s",MatOptions[op]); 1386 } 1387 PetscFunctionReturn(0); 1388 } 1389 1390 #undef __FUNCT__ 1391 #define __FUNCT__ "MatZeroEntries_SeqDense" 1392 PetscErrorCode MatZeroEntries_SeqDense(Mat A) 1393 { 1394 Mat_SeqDense *l = (Mat_SeqDense*)A->data; 1395 PetscErrorCode ierr; 1396 PetscInt lda=l->lda,m=A->rmap->n,j; 1397 1398 PetscFunctionBegin; 1399 if (lda>m) { 1400 for (j=0; j<A->cmap->n; j++) { 1401 ierr = PetscMemzero(l->v+j*lda,m*sizeof(PetscScalar));CHKERRQ(ierr); 1402 } 1403 } else { 1404 ierr = PetscMemzero(l->v,A->rmap->n*A->cmap->n*sizeof(PetscScalar));CHKERRQ(ierr); 1405 } 1406 PetscFunctionReturn(0); 1407 } 1408 1409 #undef __FUNCT__ 1410 #define __FUNCT__ "MatZeroRows_SeqDense" 1411 PetscErrorCode MatZeroRows_SeqDense(Mat A,PetscInt N,const PetscInt rows[],PetscScalar diag,Vec x,Vec b) 1412 { 1413 PetscErrorCode ierr; 1414 Mat_SeqDense *l = (Mat_SeqDense*)A->data; 1415 PetscInt m = l->lda, n = A->cmap->n, i,j; 1416 PetscScalar *slot,*bb; 1417 const PetscScalar *xx; 1418 1419 PetscFunctionBegin; 1420 #if defined(PETSC_USE_DEBUG) 1421 for (i=0; i<N; i++) { 1422 if (rows[i] < 0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Negative row requested to be zeroed"); 1423 if (rows[i] >= A->rmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Row %D requested to be zeroed greater than or equal number of rows %D",rows[i],A->rmap->n); 1424 } 1425 #endif 1426 1427 /* fix right hand side if needed */ 1428 if (x && b) { 1429 ierr = VecGetArrayRead(x,&xx);CHKERRQ(ierr); 1430 ierr = VecGetArray(b,&bb);CHKERRQ(ierr); 1431 for (i=0; i<N; i++) bb[rows[i]] = diag*xx[rows[i]]; 1432 ierr = VecRestoreArrayRead(x,&xx);CHKERRQ(ierr); 1433 ierr = VecRestoreArray(b,&bb);CHKERRQ(ierr); 1434 } 1435 1436 for (i=0; i<N; i++) { 1437 slot = l->v + rows[i]; 1438 for (j=0; j<n; j++) { *slot = 0.0; slot += m;} 1439 } 1440 if (diag != 0.0) { 1441 if (A->rmap->n != A->cmap->n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Only coded for square matrices"); 1442 for (i=0; i<N; i++) { 1443 slot = l->v + (m+1)*rows[i]; 1444 *slot = diag; 1445 } 1446 } 1447 PetscFunctionReturn(0); 1448 } 1449 1450 #undef __FUNCT__ 1451 #define __FUNCT__ "MatDenseGetArray_SeqDense" 1452 PetscErrorCode MatDenseGetArray_SeqDense(Mat A,PetscScalar *array[]) 1453 { 1454 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 1455 1456 PetscFunctionBegin; 1457 if (mat->lda != A->rmap->n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot get array for Dense matrices with LDA different from number of rows"); 1458 *array = mat->v; 1459 PetscFunctionReturn(0); 1460 } 1461 1462 #undef __FUNCT__ 1463 #define __FUNCT__ "MatDenseRestoreArray_SeqDense" 1464 PetscErrorCode MatDenseRestoreArray_SeqDense(Mat A,PetscScalar *array[]) 1465 { 1466 PetscFunctionBegin; 1467 *array = 0; /* user cannot accidently use the array later */ 1468 PetscFunctionReturn(0); 1469 } 1470 1471 #undef __FUNCT__ 1472 #define __FUNCT__ "MatDenseGetArray" 1473 /*@C 1474 MatDenseGetArray - gives access to the array where the data for a SeqDense matrix is stored 1475 1476 Not Collective 1477 1478 Input Parameter: 1479 . mat - a MATSEQDENSE matrix 1480 1481 Output Parameter: 1482 . array - pointer to the data 1483 1484 Level: intermediate 1485 1486 .seealso: MatDenseRestoreArray() 1487 @*/ 1488 PetscErrorCode MatDenseGetArray(Mat A,PetscScalar **array) 1489 { 1490 PetscErrorCode ierr; 1491 1492 PetscFunctionBegin; 1493 ierr = PetscUseMethod(A,"MatDenseGetArray_C",(Mat,PetscScalar**),(A,array));CHKERRQ(ierr); 1494 PetscFunctionReturn(0); 1495 } 1496 1497 #undef __FUNCT__ 1498 #define __FUNCT__ "MatDenseRestoreArray" 1499 /*@C 1500 MatDenseRestoreArray - returns access to the array where the data for a SeqDense matrix is stored obtained by MatDenseGetArray() 1501 1502 Not Collective 1503 1504 Input Parameters: 1505 . mat - a MATSEQDENSE matrix 1506 . array - pointer to the data 1507 1508 Level: intermediate 1509 1510 .seealso: MatDenseGetArray() 1511 @*/ 1512 PetscErrorCode MatDenseRestoreArray(Mat A,PetscScalar **array) 1513 { 1514 PetscErrorCode ierr; 1515 1516 PetscFunctionBegin; 1517 ierr = PetscUseMethod(A,"MatDenseRestoreArray_C",(Mat,PetscScalar**),(A,array));CHKERRQ(ierr); 1518 PetscFunctionReturn(0); 1519 } 1520 1521 #undef __FUNCT__ 1522 #define __FUNCT__ "MatGetSubMatrix_SeqDense" 1523 static PetscErrorCode MatGetSubMatrix_SeqDense(Mat A,IS isrow,IS iscol,PetscInt cs,MatReuse scall,Mat *B) 1524 { 1525 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 1526 PetscErrorCode ierr; 1527 PetscInt i,j,nrows,ncols; 1528 const PetscInt *irow,*icol; 1529 PetscScalar *av,*bv,*v = mat->v; 1530 Mat newmat; 1531 1532 PetscFunctionBegin; 1533 ierr = ISGetIndices(isrow,&irow);CHKERRQ(ierr); 1534 ierr = ISGetIndices(iscol,&icol);CHKERRQ(ierr); 1535 ierr = ISGetLocalSize(isrow,&nrows);CHKERRQ(ierr); 1536 ierr = ISGetLocalSize(iscol,&ncols);CHKERRQ(ierr); 1537 1538 /* Check submatrixcall */ 1539 if (scall == MAT_REUSE_MATRIX) { 1540 PetscInt n_cols,n_rows; 1541 ierr = MatGetSize(*B,&n_rows,&n_cols);CHKERRQ(ierr); 1542 if (n_rows != nrows || n_cols != ncols) { 1543 /* resize the result matrix to match number of requested rows/columns */ 1544 ierr = MatSetSizes(*B,nrows,ncols,nrows,ncols);CHKERRQ(ierr); 1545 } 1546 newmat = *B; 1547 } else { 1548 /* Create and fill new matrix */ 1549 ierr = MatCreate(PetscObjectComm((PetscObject)A),&newmat);CHKERRQ(ierr); 1550 ierr = MatSetSizes(newmat,nrows,ncols,nrows,ncols);CHKERRQ(ierr); 1551 ierr = MatSetType(newmat,((PetscObject)A)->type_name);CHKERRQ(ierr); 1552 ierr = MatSeqDenseSetPreallocation(newmat,NULL);CHKERRQ(ierr); 1553 } 1554 1555 /* Now extract the data pointers and do the copy,column at a time */ 1556 bv = ((Mat_SeqDense*)newmat->data)->v; 1557 1558 for (i=0; i<ncols; i++) { 1559 av = v + mat->lda*icol[i]; 1560 for (j=0; j<nrows; j++) *bv++ = av[irow[j]]; 1561 } 1562 1563 /* Assemble the matrices so that the correct flags are set */ 1564 ierr = MatAssemblyBegin(newmat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1565 ierr = MatAssemblyEnd(newmat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1566 1567 /* Free work space */ 1568 ierr = ISRestoreIndices(isrow,&irow);CHKERRQ(ierr); 1569 ierr = ISRestoreIndices(iscol,&icol);CHKERRQ(ierr); 1570 *B = newmat; 1571 PetscFunctionReturn(0); 1572 } 1573 1574 #undef __FUNCT__ 1575 #define __FUNCT__ "MatGetSubMatrices_SeqDense" 1576 PetscErrorCode MatGetSubMatrices_SeqDense(Mat A,PetscInt n,const IS irow[],const IS icol[],MatReuse scall,Mat *B[]) 1577 { 1578 PetscErrorCode ierr; 1579 PetscInt i; 1580 1581 PetscFunctionBegin; 1582 if (scall == MAT_INITIAL_MATRIX) { 1583 ierr = PetscMalloc((n+1)*sizeof(Mat),B);CHKERRQ(ierr); 1584 } 1585 1586 for (i=0; i<n; i++) { 1587 ierr = MatGetSubMatrix_SeqDense(A,irow[i],icol[i],PETSC_DECIDE,scall,&(*B)[i]);CHKERRQ(ierr); 1588 } 1589 PetscFunctionReturn(0); 1590 } 1591 1592 #undef __FUNCT__ 1593 #define __FUNCT__ "MatAssemblyBegin_SeqDense" 1594 PetscErrorCode MatAssemblyBegin_SeqDense(Mat mat,MatAssemblyType mode) 1595 { 1596 PetscFunctionBegin; 1597 PetscFunctionReturn(0); 1598 } 1599 1600 #undef __FUNCT__ 1601 #define __FUNCT__ "MatAssemblyEnd_SeqDense" 1602 PetscErrorCode MatAssemblyEnd_SeqDense(Mat mat,MatAssemblyType mode) 1603 { 1604 PetscFunctionBegin; 1605 PetscFunctionReturn(0); 1606 } 1607 1608 #undef __FUNCT__ 1609 #define __FUNCT__ "MatCopy_SeqDense" 1610 PetscErrorCode MatCopy_SeqDense(Mat A,Mat B,MatStructure str) 1611 { 1612 Mat_SeqDense *a = (Mat_SeqDense*)A->data,*b = (Mat_SeqDense*)B->data; 1613 PetscErrorCode ierr; 1614 PetscInt lda1=a->lda,lda2=b->lda, m=A->rmap->n,n=A->cmap->n, j; 1615 1616 PetscFunctionBegin; 1617 /* If the two matrices don't have the same copy implementation, they aren't compatible for fast copy. */ 1618 if (A->ops->copy != B->ops->copy) { 1619 ierr = MatCopy_Basic(A,B,str);CHKERRQ(ierr); 1620 PetscFunctionReturn(0); 1621 } 1622 if (m != B->rmap->n || n != B->cmap->n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"size(B) != size(A)"); 1623 if (lda1>m || lda2>m) { 1624 for (j=0; j<n; j++) { 1625 ierr = PetscMemcpy(b->v+j*lda2,a->v+j*lda1,m*sizeof(PetscScalar));CHKERRQ(ierr); 1626 } 1627 } else { 1628 ierr = PetscMemcpy(b->v,a->v,A->rmap->n*A->cmap->n*sizeof(PetscScalar));CHKERRQ(ierr); 1629 } 1630 PetscFunctionReturn(0); 1631 } 1632 1633 #undef __FUNCT__ 1634 #define __FUNCT__ "MatSetUp_SeqDense" 1635 PetscErrorCode MatSetUp_SeqDense(Mat A) 1636 { 1637 PetscErrorCode ierr; 1638 1639 PetscFunctionBegin; 1640 ierr = MatSeqDenseSetPreallocation(A,0);CHKERRQ(ierr); 1641 PetscFunctionReturn(0); 1642 } 1643 1644 #undef __FUNCT__ 1645 #define __FUNCT__ "MatConjugate_SeqDense" 1646 static PetscErrorCode MatConjugate_SeqDense(Mat A) 1647 { 1648 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 1649 PetscInt i,nz = A->rmap->n*A->cmap->n; 1650 PetscScalar *aa = a->v; 1651 1652 PetscFunctionBegin; 1653 for (i=0; i<nz; i++) aa[i] = PetscConj(aa[i]); 1654 PetscFunctionReturn(0); 1655 } 1656 1657 #undef __FUNCT__ 1658 #define __FUNCT__ "MatRealPart_SeqDense" 1659 static PetscErrorCode MatRealPart_SeqDense(Mat A) 1660 { 1661 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 1662 PetscInt i,nz = A->rmap->n*A->cmap->n; 1663 PetscScalar *aa = a->v; 1664 1665 PetscFunctionBegin; 1666 for (i=0; i<nz; i++) aa[i] = PetscRealPart(aa[i]); 1667 PetscFunctionReturn(0); 1668 } 1669 1670 #undef __FUNCT__ 1671 #define __FUNCT__ "MatImaginaryPart_SeqDense" 1672 static PetscErrorCode MatImaginaryPart_SeqDense(Mat A) 1673 { 1674 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 1675 PetscInt i,nz = A->rmap->n*A->cmap->n; 1676 PetscScalar *aa = a->v; 1677 1678 PetscFunctionBegin; 1679 for (i=0; i<nz; i++) aa[i] = PetscImaginaryPart(aa[i]); 1680 PetscFunctionReturn(0); 1681 } 1682 1683 /* ----------------------------------------------------------------*/ 1684 #undef __FUNCT__ 1685 #define __FUNCT__ "MatMatMult_SeqDense_SeqDense" 1686 PetscErrorCode MatMatMult_SeqDense_SeqDense(Mat A,Mat B,MatReuse scall,PetscReal fill,Mat *C) 1687 { 1688 PetscErrorCode ierr; 1689 1690 PetscFunctionBegin; 1691 if (scall == MAT_INITIAL_MATRIX) { 1692 ierr = PetscLogEventBegin(MAT_MatMultSymbolic,A,B,0,0);CHKERRQ(ierr); 1693 ierr = MatMatMultSymbolic_SeqDense_SeqDense(A,B,fill,C);CHKERRQ(ierr); 1694 ierr = PetscLogEventEnd(MAT_MatMultSymbolic,A,B,0,0);CHKERRQ(ierr); 1695 } 1696 ierr = PetscLogEventBegin(MAT_MatMultNumeric,A,B,0,0);CHKERRQ(ierr); 1697 ierr = MatMatMultNumeric_SeqDense_SeqDense(A,B,*C);CHKERRQ(ierr); 1698 ierr = PetscLogEventEnd(MAT_MatMultNumeric,A,B,0,0);CHKERRQ(ierr); 1699 PetscFunctionReturn(0); 1700 } 1701 1702 #undef __FUNCT__ 1703 #define __FUNCT__ "MatMatMultSymbolic_SeqDense_SeqDense" 1704 PetscErrorCode MatMatMultSymbolic_SeqDense_SeqDense(Mat A,Mat B,PetscReal fill,Mat *C) 1705 { 1706 PetscErrorCode ierr; 1707 PetscInt m=A->rmap->n,n=B->cmap->n; 1708 Mat Cmat; 1709 1710 PetscFunctionBegin; 1711 if (A->cmap->n != B->rmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"A->cmap->n %d != B->rmap->n %d\n",A->cmap->n,B->rmap->n); 1712 ierr = MatCreate(PETSC_COMM_SELF,&Cmat);CHKERRQ(ierr); 1713 ierr = MatSetSizes(Cmat,m,n,m,n);CHKERRQ(ierr); 1714 ierr = MatSetType(Cmat,MATSEQDENSE);CHKERRQ(ierr); 1715 ierr = MatSeqDenseSetPreallocation(Cmat,NULL);CHKERRQ(ierr); 1716 1717 *C = Cmat; 1718 PetscFunctionReturn(0); 1719 } 1720 1721 #undef __FUNCT__ 1722 #define __FUNCT__ "MatMatMultNumeric_SeqDense_SeqDense" 1723 PetscErrorCode MatMatMultNumeric_SeqDense_SeqDense(Mat A,Mat B,Mat C) 1724 { 1725 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 1726 Mat_SeqDense *b = (Mat_SeqDense*)B->data; 1727 Mat_SeqDense *c = (Mat_SeqDense*)C->data; 1728 PetscBLASInt m,n,k; 1729 PetscScalar _DOne=1.0,_DZero=0.0; 1730 PetscErrorCode ierr; 1731 1732 PetscFunctionBegin; 1733 ierr = PetscBLASIntCast(A->rmap->n,&m);CHKERRQ(ierr); 1734 ierr = PetscBLASIntCast(B->cmap->n,&n);CHKERRQ(ierr); 1735 ierr = PetscBLASIntCast(A->cmap->n,&k);CHKERRQ(ierr); 1736 PetscStackCallBLAS("BLASgemv",BLASgemm_("N","N",&m,&n,&k,&_DOne,a->v,&a->lda,b->v,&b->lda,&_DZero,c->v,&c->lda)); 1737 PetscFunctionReturn(0); 1738 } 1739 1740 #undef __FUNCT__ 1741 #define __FUNCT__ "MatTransposeMatMult_SeqDense_SeqDense" 1742 PetscErrorCode MatTransposeMatMult_SeqDense_SeqDense(Mat A,Mat B,MatReuse scall,PetscReal fill,Mat *C) 1743 { 1744 PetscErrorCode ierr; 1745 1746 PetscFunctionBegin; 1747 if (scall == MAT_INITIAL_MATRIX) { 1748 ierr = PetscLogEventBegin(MAT_TransposeMatMultSymbolic,A,B,0,0);CHKERRQ(ierr); 1749 ierr = MatTransposeMatMultSymbolic_SeqDense_SeqDense(A,B,fill,C);CHKERRQ(ierr); 1750 ierr = PetscLogEventEnd(MAT_TransposeMatMultSymbolic,A,B,0,0);CHKERRQ(ierr); 1751 } 1752 ierr = PetscLogEventBegin(MAT_TransposeMatMultNumeric,A,B,0,0);CHKERRQ(ierr); 1753 ierr = MatTransposeMatMultNumeric_SeqDense_SeqDense(A,B,*C);CHKERRQ(ierr); 1754 ierr = PetscLogEventEnd(MAT_TransposeMatMultNumeric,A,B,0,0);CHKERRQ(ierr); 1755 PetscFunctionReturn(0); 1756 } 1757 1758 #undef __FUNCT__ 1759 #define __FUNCT__ "MatTransposeMatMultSymbolic_SeqDense_SeqDense" 1760 PetscErrorCode MatTransposeMatMultSymbolic_SeqDense_SeqDense(Mat A,Mat B,PetscReal fill,Mat *C) 1761 { 1762 PetscErrorCode ierr; 1763 PetscInt m=A->cmap->n,n=B->cmap->n; 1764 Mat Cmat; 1765 1766 PetscFunctionBegin; 1767 if (A->rmap->n != B->rmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"A->rmap->n %d != B->rmap->n %d\n",A->rmap->n,B->rmap->n); 1768 ierr = MatCreate(PETSC_COMM_SELF,&Cmat);CHKERRQ(ierr); 1769 ierr = MatSetSizes(Cmat,m,n,m,n);CHKERRQ(ierr); 1770 ierr = MatSetType(Cmat,MATSEQDENSE);CHKERRQ(ierr); 1771 ierr = MatSeqDenseSetPreallocation(Cmat,NULL);CHKERRQ(ierr); 1772 1773 Cmat->assembled = PETSC_TRUE; 1774 1775 *C = Cmat; 1776 PetscFunctionReturn(0); 1777 } 1778 1779 #undef __FUNCT__ 1780 #define __FUNCT__ "MatTransposeMatMultNumeric_SeqDense_SeqDense" 1781 PetscErrorCode MatTransposeMatMultNumeric_SeqDense_SeqDense(Mat A,Mat B,Mat C) 1782 { 1783 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 1784 Mat_SeqDense *b = (Mat_SeqDense*)B->data; 1785 Mat_SeqDense *c = (Mat_SeqDense*)C->data; 1786 PetscBLASInt m,n,k; 1787 PetscScalar _DOne=1.0,_DZero=0.0; 1788 PetscErrorCode ierr; 1789 1790 PetscFunctionBegin; 1791 ierr = PetscBLASIntCast(A->cmap->n,&m);CHKERRQ(ierr); 1792 ierr = PetscBLASIntCast(B->cmap->n,&n);CHKERRQ(ierr); 1793 ierr = PetscBLASIntCast(A->rmap->n,&k);CHKERRQ(ierr); 1794 /* 1795 Note the m and n arguments below are the number rows and columns of A', not A! 1796 */ 1797 PetscStackCallBLAS("BLASgemv",BLASgemm_("T","N",&m,&n,&k,&_DOne,a->v,&a->lda,b->v,&b->lda,&_DZero,c->v,&c->lda)); 1798 PetscFunctionReturn(0); 1799 } 1800 1801 #undef __FUNCT__ 1802 #define __FUNCT__ "MatGetRowMax_SeqDense" 1803 PetscErrorCode MatGetRowMax_SeqDense(Mat A,Vec v,PetscInt idx[]) 1804 { 1805 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 1806 PetscErrorCode ierr; 1807 PetscInt i,j,m = A->rmap->n,n = A->cmap->n,p; 1808 PetscScalar *x; 1809 MatScalar *aa = a->v; 1810 1811 PetscFunctionBegin; 1812 if (A->factortype) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"Not for factored matrix"); 1813 1814 ierr = VecSet(v,0.0);CHKERRQ(ierr); 1815 ierr = VecGetArray(v,&x);CHKERRQ(ierr); 1816 ierr = VecGetLocalSize(v,&p);CHKERRQ(ierr); 1817 if (p != A->rmap->n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Nonconforming matrix and vector"); 1818 for (i=0; i<m; i++) { 1819 x[i] = aa[i]; if (idx) idx[i] = 0; 1820 for (j=1; j<n; j++) { 1821 if (PetscRealPart(x[i]) < PetscRealPart(aa[i+m*j])) {x[i] = aa[i + m*j]; if (idx) idx[i] = j;} 1822 } 1823 } 1824 ierr = VecRestoreArray(v,&x);CHKERRQ(ierr); 1825 PetscFunctionReturn(0); 1826 } 1827 1828 #undef __FUNCT__ 1829 #define __FUNCT__ "MatGetRowMaxAbs_SeqDense" 1830 PetscErrorCode MatGetRowMaxAbs_SeqDense(Mat A,Vec v,PetscInt idx[]) 1831 { 1832 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 1833 PetscErrorCode ierr; 1834 PetscInt i,j,m = A->rmap->n,n = A->cmap->n,p; 1835 PetscScalar *x; 1836 PetscReal atmp; 1837 MatScalar *aa = a->v; 1838 1839 PetscFunctionBegin; 1840 if (A->factortype) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"Not for factored matrix"); 1841 1842 ierr = VecSet(v,0.0);CHKERRQ(ierr); 1843 ierr = VecGetArray(v,&x);CHKERRQ(ierr); 1844 ierr = VecGetLocalSize(v,&p);CHKERRQ(ierr); 1845 if (p != A->rmap->n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Nonconforming matrix and vector"); 1846 for (i=0; i<m; i++) { 1847 x[i] = PetscAbsScalar(aa[i]); 1848 for (j=1; j<n; j++) { 1849 atmp = PetscAbsScalar(aa[i+m*j]); 1850 if (PetscAbsScalar(x[i]) < atmp) {x[i] = atmp; if (idx) idx[i] = j;} 1851 } 1852 } 1853 ierr = VecRestoreArray(v,&x);CHKERRQ(ierr); 1854 PetscFunctionReturn(0); 1855 } 1856 1857 #undef __FUNCT__ 1858 #define __FUNCT__ "MatGetRowMin_SeqDense" 1859 PetscErrorCode MatGetRowMin_SeqDense(Mat A,Vec v,PetscInt idx[]) 1860 { 1861 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 1862 PetscErrorCode ierr; 1863 PetscInt i,j,m = A->rmap->n,n = A->cmap->n,p; 1864 PetscScalar *x; 1865 MatScalar *aa = a->v; 1866 1867 PetscFunctionBegin; 1868 if (A->factortype) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"Not for factored matrix"); 1869 1870 ierr = VecSet(v,0.0);CHKERRQ(ierr); 1871 ierr = VecGetArray(v,&x);CHKERRQ(ierr); 1872 ierr = VecGetLocalSize(v,&p);CHKERRQ(ierr); 1873 if (p != A->rmap->n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Nonconforming matrix and vector"); 1874 for (i=0; i<m; i++) { 1875 x[i] = aa[i]; if (idx) idx[i] = 0; 1876 for (j=1; j<n; j++) { 1877 if (PetscRealPart(x[i]) > PetscRealPart(aa[i+m*j])) {x[i] = aa[i + m*j]; if (idx) idx[i] = j;} 1878 } 1879 } 1880 ierr = VecRestoreArray(v,&x);CHKERRQ(ierr); 1881 PetscFunctionReturn(0); 1882 } 1883 1884 #undef __FUNCT__ 1885 #define __FUNCT__ "MatGetColumnVector_SeqDense" 1886 PetscErrorCode MatGetColumnVector_SeqDense(Mat A,Vec v,PetscInt col) 1887 { 1888 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 1889 PetscErrorCode ierr; 1890 PetscScalar *x; 1891 1892 PetscFunctionBegin; 1893 if (A->factortype) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"Not for factored matrix"); 1894 1895 ierr = VecGetArray(v,&x);CHKERRQ(ierr); 1896 ierr = PetscMemcpy(x,a->v+col*a->lda,A->rmap->n*sizeof(PetscScalar));CHKERRQ(ierr); 1897 ierr = VecRestoreArray(v,&x);CHKERRQ(ierr); 1898 PetscFunctionReturn(0); 1899 } 1900 1901 1902 #undef __FUNCT__ 1903 #define __FUNCT__ "MatGetColumnNorms_SeqDense" 1904 PetscErrorCode MatGetColumnNorms_SeqDense(Mat A,NormType type,PetscReal *norms) 1905 { 1906 PetscErrorCode ierr; 1907 PetscInt i,j,m,n; 1908 PetscScalar *a; 1909 1910 PetscFunctionBegin; 1911 ierr = MatGetSize(A,&m,&n);CHKERRQ(ierr); 1912 ierr = PetscMemzero(norms,n*sizeof(PetscReal));CHKERRQ(ierr); 1913 ierr = MatDenseGetArray(A,&a);CHKERRQ(ierr); 1914 if (type == NORM_2) { 1915 for (i=0; i<n; i++) { 1916 for (j=0; j<m; j++) { 1917 norms[i] += PetscAbsScalar(a[j]*a[j]); 1918 } 1919 a += m; 1920 } 1921 } else if (type == NORM_1) { 1922 for (i=0; i<n; i++) { 1923 for (j=0; j<m; j++) { 1924 norms[i] += PetscAbsScalar(a[j]); 1925 } 1926 a += m; 1927 } 1928 } else if (type == NORM_INFINITY) { 1929 for (i=0; i<n; i++) { 1930 for (j=0; j<m; j++) { 1931 norms[i] = PetscMax(PetscAbsScalar(a[j]),norms[i]); 1932 } 1933 a += m; 1934 } 1935 } else SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_ARG_WRONG,"Unknown NormType"); 1936 ierr = MatDenseRestoreArray(A,&a);CHKERRQ(ierr); 1937 if (type == NORM_2) { 1938 for (i=0; i<n; i++) norms[i] = PetscSqrtReal(norms[i]); 1939 } 1940 PetscFunctionReturn(0); 1941 } 1942 1943 #undef __FUNCT__ 1944 #define __FUNCT__ "MatSetRandom_SeqDense" 1945 static PetscErrorCode MatSetRandom_SeqDense(Mat x,PetscRandom rctx) 1946 { 1947 PetscErrorCode ierr; 1948 PetscScalar *a; 1949 PetscInt m,n,i; 1950 1951 PetscFunctionBegin; 1952 ierr = MatGetSize(x,&m,&n);CHKERRQ(ierr); 1953 ierr = MatDenseGetArray(x,&a);CHKERRQ(ierr); 1954 for (i=0; i<m*n; i++) { 1955 ierr = PetscRandomGetValue(rctx,a+i);CHKERRQ(ierr); 1956 } 1957 ierr = MatDenseRestoreArray(x,&a);CHKERRQ(ierr); 1958 PetscFunctionReturn(0); 1959 } 1960 1961 1962 /* -------------------------------------------------------------------*/ 1963 static struct _MatOps MatOps_Values = { MatSetValues_SeqDense, 1964 MatGetRow_SeqDense, 1965 MatRestoreRow_SeqDense, 1966 MatMult_SeqDense, 1967 /* 4*/ MatMultAdd_SeqDense, 1968 MatMultTranspose_SeqDense, 1969 MatMultTransposeAdd_SeqDense, 1970 0, 1971 0, 1972 0, 1973 /* 10*/ 0, 1974 MatLUFactor_SeqDense, 1975 MatCholeskyFactor_SeqDense, 1976 MatSOR_SeqDense, 1977 MatTranspose_SeqDense, 1978 /* 15*/ MatGetInfo_SeqDense, 1979 MatEqual_SeqDense, 1980 MatGetDiagonal_SeqDense, 1981 MatDiagonalScale_SeqDense, 1982 MatNorm_SeqDense, 1983 /* 20*/ MatAssemblyBegin_SeqDense, 1984 MatAssemblyEnd_SeqDense, 1985 MatSetOption_SeqDense, 1986 MatZeroEntries_SeqDense, 1987 /* 24*/ MatZeroRows_SeqDense, 1988 0, 1989 0, 1990 0, 1991 0, 1992 /* 29*/ MatSetUp_SeqDense, 1993 0, 1994 0, 1995 0, 1996 0, 1997 /* 34*/ MatDuplicate_SeqDense, 1998 0, 1999 0, 2000 0, 2001 0, 2002 /* 39*/ MatAXPY_SeqDense, 2003 MatGetSubMatrices_SeqDense, 2004 0, 2005 MatGetValues_SeqDense, 2006 MatCopy_SeqDense, 2007 /* 44*/ MatGetRowMax_SeqDense, 2008 MatScale_SeqDense, 2009 0, 2010 0, 2011 0, 2012 /* 49*/ MatSetRandom_SeqDense, 2013 0, 2014 0, 2015 0, 2016 0, 2017 /* 54*/ 0, 2018 0, 2019 0, 2020 0, 2021 0, 2022 /* 59*/ 0, 2023 MatDestroy_SeqDense, 2024 MatView_SeqDense, 2025 0, 2026 0, 2027 /* 64*/ 0, 2028 0, 2029 0, 2030 0, 2031 0, 2032 /* 69*/ MatGetRowMaxAbs_SeqDense, 2033 0, 2034 0, 2035 0, 2036 0, 2037 /* 74*/ 0, 2038 0, 2039 0, 2040 0, 2041 0, 2042 /* 79*/ 0, 2043 0, 2044 0, 2045 0, 2046 /* 83*/ MatLoad_SeqDense, 2047 0, 2048 MatIsHermitian_SeqDense, 2049 0, 2050 0, 2051 0, 2052 /* 89*/ MatMatMult_SeqDense_SeqDense, 2053 MatMatMultSymbolic_SeqDense_SeqDense, 2054 MatMatMultNumeric_SeqDense_SeqDense, 2055 0, 2056 0, 2057 /* 94*/ 0, 2058 0, 2059 0, 2060 0, 2061 0, 2062 /* 99*/ 0, 2063 0, 2064 0, 2065 MatConjugate_SeqDense, 2066 0, 2067 /*104*/ 0, 2068 MatRealPart_SeqDense, 2069 MatImaginaryPart_SeqDense, 2070 0, 2071 0, 2072 /*109*/ MatMatSolve_SeqDense, 2073 0, 2074 MatGetRowMin_SeqDense, 2075 MatGetColumnVector_SeqDense, 2076 0, 2077 /*114*/ 0, 2078 0, 2079 0, 2080 0, 2081 0, 2082 /*119*/ 0, 2083 0, 2084 0, 2085 0, 2086 0, 2087 /*124*/ 0, 2088 MatGetColumnNorms_SeqDense, 2089 0, 2090 0, 2091 0, 2092 /*129*/ 0, 2093 MatTransposeMatMult_SeqDense_SeqDense, 2094 MatTransposeMatMultSymbolic_SeqDense_SeqDense, 2095 MatTransposeMatMultNumeric_SeqDense_SeqDense, 2096 0, 2097 /*134*/ 0, 2098 0, 2099 0, 2100 0, 2101 0, 2102 /*139*/ 0, 2103 0, 2104 0 2105 }; 2106 2107 #undef __FUNCT__ 2108 #define __FUNCT__ "MatCreateSeqDense" 2109 /*@C 2110 MatCreateSeqDense - Creates a sequential dense matrix that 2111 is stored in column major order (the usual Fortran 77 manner). Many 2112 of the matrix operations use the BLAS and LAPACK routines. 2113 2114 Collective on MPI_Comm 2115 2116 Input Parameters: 2117 + comm - MPI communicator, set to PETSC_COMM_SELF 2118 . m - number of rows 2119 . n - number of columns 2120 - data - optional location of matrix data in column major order. Set data=NULL for PETSc 2121 to control all matrix memory allocation. 2122 2123 Output Parameter: 2124 . A - the matrix 2125 2126 Notes: 2127 The data input variable is intended primarily for Fortran programmers 2128 who wish to allocate their own matrix memory space. Most users should 2129 set data=NULL. 2130 2131 Level: intermediate 2132 2133 .keywords: dense, matrix, LAPACK, BLAS 2134 2135 .seealso: MatCreate(), MatCreateDense(), MatSetValues() 2136 @*/ 2137 PetscErrorCode MatCreateSeqDense(MPI_Comm comm,PetscInt m,PetscInt n,PetscScalar *data,Mat *A) 2138 { 2139 PetscErrorCode ierr; 2140 2141 PetscFunctionBegin; 2142 ierr = MatCreate(comm,A);CHKERRQ(ierr); 2143 ierr = MatSetSizes(*A,m,n,m,n);CHKERRQ(ierr); 2144 ierr = MatSetType(*A,MATSEQDENSE);CHKERRQ(ierr); 2145 ierr = MatSeqDenseSetPreallocation(*A,data);CHKERRQ(ierr); 2146 PetscFunctionReturn(0); 2147 } 2148 2149 #undef __FUNCT__ 2150 #define __FUNCT__ "MatSeqDenseSetPreallocation" 2151 /*@C 2152 MatSeqDenseSetPreallocation - Sets the array used for storing the matrix elements 2153 2154 Collective on MPI_Comm 2155 2156 Input Parameters: 2157 + A - the matrix 2158 - data - the array (or NULL) 2159 2160 Notes: 2161 The data input variable is intended primarily for Fortran programmers 2162 who wish to allocate their own matrix memory space. Most users should 2163 need not call this routine. 2164 2165 Level: intermediate 2166 2167 .keywords: dense, matrix, LAPACK, BLAS 2168 2169 .seealso: MatCreate(), MatCreateDense(), MatSetValues(), MatSeqDenseSetLDA() 2170 2171 @*/ 2172 PetscErrorCode MatSeqDenseSetPreallocation(Mat B,PetscScalar data[]) 2173 { 2174 PetscErrorCode ierr; 2175 2176 PetscFunctionBegin; 2177 ierr = PetscTryMethod(B,"MatSeqDenseSetPreallocation_C",(Mat,PetscScalar[]),(B,data));CHKERRQ(ierr); 2178 PetscFunctionReturn(0); 2179 } 2180 2181 #undef __FUNCT__ 2182 #define __FUNCT__ "MatSeqDenseSetPreallocation_SeqDense" 2183 PetscErrorCode MatSeqDenseSetPreallocation_SeqDense(Mat B,PetscScalar *data) 2184 { 2185 Mat_SeqDense *b; 2186 PetscErrorCode ierr; 2187 2188 PetscFunctionBegin; 2189 B->preallocated = PETSC_TRUE; 2190 2191 ierr = PetscLayoutSetUp(B->rmap);CHKERRQ(ierr); 2192 ierr = PetscLayoutSetUp(B->cmap);CHKERRQ(ierr); 2193 2194 b = (Mat_SeqDense*)B->data; 2195 b->Mmax = B->rmap->n; 2196 b->Nmax = B->cmap->n; 2197 if (b->lda <= 0 || b->changelda) b->lda = B->rmap->n; 2198 2199 if (!data) { /* petsc-allocated storage */ 2200 if (!b->user_alloc) { ierr = PetscFree(b->v);CHKERRQ(ierr); } 2201 ierr = PetscMalloc(b->lda*b->Nmax*sizeof(PetscScalar),&b->v);CHKERRQ(ierr); 2202 ierr = PetscMemzero(b->v,b->lda*b->Nmax*sizeof(PetscScalar));CHKERRQ(ierr); 2203 ierr = PetscLogObjectMemory((PetscObject)B,b->lda*b->Nmax*sizeof(PetscScalar));CHKERRQ(ierr); 2204 2205 b->user_alloc = PETSC_FALSE; 2206 } else { /* user-allocated storage */ 2207 if (!b->user_alloc) { ierr = PetscFree(b->v);CHKERRQ(ierr); } 2208 b->v = data; 2209 b->user_alloc = PETSC_TRUE; 2210 } 2211 B->assembled = PETSC_TRUE; 2212 PetscFunctionReturn(0); 2213 } 2214 2215 #undef __FUNCT__ 2216 #define __FUNCT__ "MatSeqDenseSetLDA" 2217 /*@C 2218 MatSeqDenseSetLDA - Declare the leading dimension of the user-provided array 2219 2220 Input parameter: 2221 + A - the matrix 2222 - lda - the leading dimension 2223 2224 Notes: 2225 This routine is to be used in conjunction with MatSeqDenseSetPreallocation(); 2226 it asserts that the preallocation has a leading dimension (the LDA parameter 2227 of Blas and Lapack fame) larger than M, the first dimension of the matrix. 2228 2229 Level: intermediate 2230 2231 .keywords: dense, matrix, LAPACK, BLAS 2232 2233 .seealso: MatCreate(), MatCreateSeqDense(), MatSeqDenseSetPreallocation(), MatSetMaximumSize() 2234 2235 @*/ 2236 PetscErrorCode MatSeqDenseSetLDA(Mat B,PetscInt lda) 2237 { 2238 Mat_SeqDense *b = (Mat_SeqDense*)B->data; 2239 2240 PetscFunctionBegin; 2241 if (lda < B->rmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"LDA %D must be at least matrix dimension %D",lda,B->rmap->n); 2242 b->lda = lda; 2243 b->changelda = PETSC_FALSE; 2244 b->Mmax = PetscMax(b->Mmax,lda); 2245 PetscFunctionReturn(0); 2246 } 2247 2248 /*MC 2249 MATSEQDENSE - MATSEQDENSE = "seqdense" - A matrix type to be used for sequential dense matrices. 2250 2251 Options Database Keys: 2252 . -mat_type seqdense - sets the matrix type to "seqdense" during a call to MatSetFromOptions() 2253 2254 Level: beginner 2255 2256 .seealso: MatCreateSeqDense() 2257 2258 M*/ 2259 2260 #undef __FUNCT__ 2261 #define __FUNCT__ "MatCreate_SeqDense" 2262 PETSC_EXTERN PetscErrorCode MatCreate_SeqDense(Mat B) 2263 { 2264 Mat_SeqDense *b; 2265 PetscErrorCode ierr; 2266 PetscMPIInt size; 2267 2268 PetscFunctionBegin; 2269 ierr = MPI_Comm_size(PetscObjectComm((PetscObject)B),&size);CHKERRQ(ierr); 2270 if (size > 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"Comm must be of size 1"); 2271 2272 ierr = PetscNewLog(B,Mat_SeqDense,&b);CHKERRQ(ierr); 2273 ierr = PetscMemcpy(B->ops,&MatOps_Values,sizeof(struct _MatOps));CHKERRQ(ierr); 2274 B->data = (void*)b; 2275 2276 b->pivots = 0; 2277 b->roworiented = PETSC_TRUE; 2278 b->v = 0; 2279 b->changelda = PETSC_FALSE; 2280 2281 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDenseGetArray_C",MatDenseGetArray_SeqDense);CHKERRQ(ierr); 2282 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDenseRestoreArray_C",MatDenseRestoreArray_SeqDense);CHKERRQ(ierr); 2283 2284 ierr = PetscObjectComposeFunction((PetscObject)B,"MatConvert_seqdense_seqaij_C",MatConvert_SeqDense_SeqAIJ);CHKERRQ(ierr); 2285 ierr = PetscObjectComposeFunction((PetscObject)B,"MatGetFactor_petsc_C",MatGetFactor_seqdense_petsc);CHKERRQ(ierr); 2286 ierr = PetscObjectComposeFunction((PetscObject)B,"MatSeqDenseSetPreallocation_C",MatSeqDenseSetPreallocation_SeqDense);CHKERRQ(ierr); 2287 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMult_seqaij_seqdense_C",MatMatMult_SeqAIJ_SeqDense);CHKERRQ(ierr); 2288 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMultSymbolic_seqaij_seqdense_C",MatMatMultSymbolic_SeqAIJ_SeqDense);CHKERRQ(ierr); 2289 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMultNumeric_seqaij_seqdense_C",MatMatMultNumeric_SeqAIJ_SeqDense);CHKERRQ(ierr); 2290 ierr = PetscObjectComposeFunction((PetscObject)B,"MatTransposeMatMult_seqaij_seqdense_C",MatTransposeMatMult_SeqAIJ_SeqDense);CHKERRQ(ierr); 2291 ierr = PetscObjectComposeFunction((PetscObject)B,"MatTransposeMatMultSymbolic_seqaij_seqdense_C",MatTransposeMatMultSymbolic_SeqAIJ_SeqDense);CHKERRQ(ierr); 2292 ierr = PetscObjectComposeFunction((PetscObject)B,"MatTransposeMatMultNumeric_seqaij_seqdense_C",MatTransposeMatMultNumeric_SeqAIJ_SeqDense);CHKERRQ(ierr); 2293 ierr = PetscObjectChangeTypeName((PetscObject)B,MATSEQDENSE);CHKERRQ(ierr); 2294 PetscFunctionReturn(0); 2295 } 2296