| /petsc/src/snes/tutorials/output/ |
| H A D | ex19_greedy_coloring.out | 8 Number of total columns 2500
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| /petsc/src/ts/tests/output/ |
| H A D | ex5_3.out | 11 Number of total columns 2000
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| /petsc/src/mat/impls/aij/mpi/ |
| H A D | fdmpiaij.c | 110 …col = i + bs * coloring->columns[k][l]; /* local column (in global index!) of the matrix we are pr… in MatFDColoringApply_BAIJ()
117 …col = i + bs * coloring->columns[k][l]; /* local column (in global index!) of the matrix we are pr… in MatFDColoringApply_BAIJ()
268 …col = coloring->columns[k + i][l]; /* local column (in global index!) of the matrix we are probing… in MatFDColoringApply_AIJ()
274 …col = coloring->columns[k + i][l]; /* local column (in global index!) of the matrix we are probing… in MatFDColoringApply_AIJ()
340 …col = coloring->columns[k][l]; /* local column (in global index!) of the matrix we are probing for… in MatFDColoringApply_AIJ()
346 …col = coloring->columns[k][l]; /* local column (in global index!) of the matrix we are probing for… in MatFDColoringApply_AIJ()
513 PetscCall(PetscMalloc2(nis, &c->ncolumns, nis, &c->columns)); in MatFDColoringSetUp_MPIXAIJ()
538 c->columns[i] = (PetscInt *)is; in MatFDColoringSetUp_MPIXAIJ()
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| /petsc/src/mat/matfd/ |
| H A D | fdmatrix.c | 126 …[i]; j++) PetscCall(PetscViewerASCIIPrintf(viewer, " %" PetscInt_FMT "\n", c->columns[i][j])); in MatFDColoringView()
503 PetscCall(PetscFree2(color->ncolumns, color->columns)); in MatFDColoringDestroy()
550 *cols = coloring->columns[coloring->currentcolor]; in MatFDColoringGetPerturbedColumns()
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| /petsc/doc/developers/ |
| H A D | matrices.md | 126 `n` columns, and a block size of `nb` is
153 `M`, and `N` indicate the number of local rows and columns and the
154 number of global rows and columns, respectively. Either the local or
173 diagonal portion to be its local rows and the corresponding columns (a
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| /petsc/doc/changes/ |
| H A D | 31.md | 54 - Now takes a parallel IS for the columns, the csize argument has
56 local columns of the new submatrix.
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| H A D | 316.md | 128 - Add `MatGetColumnReductions()` developer routine to calculate reductions over columns of a matrix
129 …`MatGetColumnSumsRealPart()`, `MatGetColumnSumsImaginaryPart()` to compute sums over matrix columns
130 …eansRealPart()`, `MatGetColumnMeansImaginaryPart()` to compute arithmetic means over matrix columns
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| H A D | 2028.md | 64 columns. Now you don't need to use the Shell matrices if you
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| H A D | 34.md | 130 owned columns.
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| H A D | 314.md | 147 contiguous subset of columns of a dense matrix as a Mat
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| H A D | 319.md | 173 …P` in the case where the leading dimension is greater than the number of columns/rows. This situat…
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| /petsc/src/mat/impls/aij/seq/ |
| H A D | fdaij.c | 210 PetscCall(PetscMalloc2(nis, &c->ncolumns, nis, &c->columns)); in MatFDColoringSetUp_SeqXAIJ()
238 c->columns[i] = (PetscInt *)is; in MatFDColoringSetUp_SeqXAIJ()
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| H A D | matmatmult.c | 1759 …PetscInt *columns = coloring->columns, *colorforcol = coloring->colorforcol, ncolors = colorin… in MatTransColoringApplySpToDen_SeqAIJ() local
1767 col = *(columns + colorforcol[k] + l); in MatTransColoringApplySpToDen_SeqAIJ()
1850 PetscInt *colorforcol, *columns, *columns_i, brows; in MatTransposeColoringCreate_SeqAIJ() local
1879 PetscCall(PetscMalloc1(Nbs + 1, &columns)); in MatTransposeColoringCreate_SeqAIJ()
1882 columns_i = columns; in MatTransposeColoringCreate_SeqAIJ()
1941 c->columns = columns; in MatTransposeColoringCreate_SeqAIJ()
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| /petsc/doc/manual/ |
| H A D | mat.md | 108 rows and columns. This action is identical to the calls above to
238 `n` columns, one uses the command
365 and columns, respectively. In the PETSc partitioning scheme, all the
366 matrix columns are local and `n` is the number of columns
388 and the corresponding columns (a square submatrix); each process’s
636 where $S$ and $Y$ are the matrices whose columns contain
703 local rows and columns and the number of global rows and columns,
955 columns), `m` and `n` are the local matrix dimensions, and `ctx`
1140 associated columns and adjusts the right-hand side based on the removed
1141 columns) and then rebalances the resulting rows of smaller matrix across
[all …]
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| H A D | blas-lapack.md | 10 dense matrices may be of modest size, going up to thousands of rows and columns.
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| H A D | advanced.md | 218 which will try to reorder the columns to ensure that no values along the
221 and columns will result. This is not guaranteed to work, but may help if
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| H A D | snes.md | 1178 - First, one colors the columns of the (not yet built) Jacobian matrix,
1179 so that columns of the same color do not share any common rows.
1201 Color the matrix, i.e. determine groups of columns that share no common
1202 rows. These columns in the Jacobian can all be computed simultaneously.
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| H A D | ksp.md | 1084 (columns of the prolongation operator), which is the core of an AMG method,
1987 Note that for interlaced storage, the number of rows/columns of each
2005 rows/columns of the matrix belong to a particular block (field). You can provide
2010 diagonal blocks to be found, one associated with all rows/columns that
2649 matrix has 1,000 rows and columns the solution will not be parallelized by default. One can use the…
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| /petsc/src/binding/petsc4py/src/petsc4py/PETSc/ |
| H A D | Mat.pyx | 553 Create a `Mat` with ``n`` rows and columns and the same local and
560 Create a `Mat` with ``nr`` rows, ``nc`` columns and the same local and
568 local columns and ``ncg`` global columns.
590 """Set the matrix block size (same for rows and columns).
1401 is the number of columns of both ``U`` and ``V``.
1623 Optional local-to-global mapping for the columns.
1925 """Return the global number of rows and columns.
1939 """Return the local number of rows and columns.
2031 """Return the locally owned range of columns.
2046 """Return the range of columns owned by each process.
[all …]
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| /petsc/src/ksp/pc/impls/ml/ |
| H A D | ml.c | 69 …ta, int N_requested_rows, int requested_rows[], int allocated_space, int columns[], double values[… in PetscML_getrow() argument
85 columns[k] = aj[j]; in PetscML_getrow()
251 PetscInt *ml_cols = matdata->columns, *ml_rowptr = matdata->rowptr, *aj, i; in MatWrapML_SeqAIJ()
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| /petsc/src/tao/leastsquares/tutorials/matlab/more_wild_probs/ |
| H A D | dfovec.m | 90 case 3 % Linear function - rank 1 with zero columns and rows.
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| /petsc/lib/petsc/bin/ |
| H A D | petsc_tas_analysis.py | 329 nProcs = int(df.columns.tolist()[25])
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| /petsc/src/mat/impls/is/ |
| H A D | matis.c | 2857 …ColumnsLocal_Private(Mat A, PetscInt n, const PetscInt rows[], PetscScalar diag, PetscBool columns) in MatISZeroRowsColumnsLocal_Private() argument
2865 if (columns) { in MatISZeroRowsColumnsLocal_Private()
2882 …ate_IS(Mat A, PetscInt n, const PetscInt rows[], PetscScalar diag, Vec x, Vec b, PetscBool columns) in MatZeroRowsColumns_Private_IS() argument
2889 if (PetscUnlikelyDebug(columns || diag != 0. || (x && b))) { in MatZeroRowsColumns_Private_IS()
2894 …PetscCheck(cong || !columns, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Columns can be zeroe… in MatZeroRowsColumns_Private_IS()
2923 PetscCall(MatISZeroRowsColumnsLocal_Private(A, nr, lrows, diag, columns)); in MatZeroRowsColumns_Private_IS()
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| /petsc/include/petsc/private/ |
| H A D | matimpl.h | 653 …PetscInt **columns; /* lists the local columns of each color (using global c… member
712 …PetscInt *columns; /* lists the local columns of each color (using global column… member
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| /petsc/src/ksp/ksp/tutorials/output/ |
| H A D | ex2_help.out | 257 …-ksp_matsolve_batch_size: <now -1 : formerly -1>: Maximum number of columns treated simultaneously…
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