Actual source code: petscmat.h
1: /*
2: Include file for the matrix component of PETSc
3: */
4: #pragma once
6: #include <petscvec.h>
8: /* SUBMANSEC = Mat */
10: /*S
11: Mat - Abstract PETSc matrix object used to manage all linear operators in PETSc, even those without
12: an explicit sparse representation (such as matrix-free operators). Also used to hold representations of graphs
13: for graph operations such as coloring, `MatColoringCreate()`
15: Level: beginner
17: Note:
18: See [](doc_matrix), [](ch_matrices) and `MatType` for available matrix types
20: .seealso: [](doc_matrix), [](ch_matrices), `MatCreate()`, `MatType`, `MatSetType()`, `MatDestroy()`
21: S*/
22: typedef struct _p_Mat *Mat;
24: /*J
25: MatType - String with the name of a PETSc matrix type
27: Level: beginner
29: Note:
30: [](doc_matrix) for a table of available matrix types
32: .seealso: [](doc_matrix), [](ch_matrices), `MatSetType()`, `Mat`, `MatSolverType`, `MatRegister()`
33: J*/
34: typedef const char *MatType;
35: #define MATSAME "same"
36: #define MATMAIJ "maij"
37: #define MATSEQMAIJ "seqmaij"
38: #define MATMPIMAIJ "mpimaij"
39: #define MATKAIJ "kaij"
40: #define MATSEQKAIJ "seqkaij"
41: #define MATMPIKAIJ "mpikaij"
42: #define MATIS "is"
43: #define MATAIJ "aij"
44: #define MATSEQAIJ "seqaij"
45: #define MATMPIAIJ "mpiaij"
46: #define MATAIJCRL "aijcrl"
47: #define MATSEQAIJCRL "seqaijcrl"
48: #define MATMPIAIJCRL "mpiaijcrl"
49: #define MATAIJCUSPARSE "aijcusparse"
50: #define MATSEQAIJCUSPARSE "seqaijcusparse"
51: #define MATMPIAIJCUSPARSE "mpiaijcusparse"
52: #define MATAIJHIPSPARSE "aijhipsparse"
53: #define MATSEQAIJHIPSPARSE "seqaijhipsparse"
54: #define MATMPIAIJHIPSPARSE "mpiaijhipsparse"
55: #define MATAIJKOKKOS "aijkokkos"
56: #define MATSEQAIJKOKKOS "seqaijkokkos"
57: #define MATMPIAIJKOKKOS "mpiaijkokkos"
58: #define MATAIJVIENNACL "aijviennacl"
59: #define MATSEQAIJVIENNACL "seqaijviennacl"
60: #define MATMPIAIJVIENNACL "mpiaijviennacl"
61: #define MATAIJPERM "aijperm"
62: #define MATSEQAIJPERM "seqaijperm"
63: #define MATMPIAIJPERM "mpiaijperm"
64: #define MATAIJSELL "aijsell"
65: #define MATSEQAIJSELL "seqaijsell"
66: #define MATMPIAIJSELL "mpiaijsell"
67: #define MATAIJMKL "aijmkl"
68: #define MATSEQAIJMKL "seqaijmkl"
69: #define MATMPIAIJMKL "mpiaijmkl"
70: #define MATBAIJMKL "baijmkl"
71: #define MATSEQBAIJMKL "seqbaijmkl"
72: #define MATMPIBAIJMKL "mpibaijmkl"
73: #define MATSHELL "shell"
74: #define MATCENTERING "centering"
75: #define MATDENSE "dense"
76: #define MATDENSECUDA "densecuda"
77: #define MATDENSEHIP "densehip"
78: #define MATSEQDENSE "seqdense"
79: #define MATSEQDENSECUDA "seqdensecuda"
80: #define MATSEQDENSEHIP "seqdensehip"
81: #define MATMPIDENSE "mpidense"
82: #define MATMPIDENSECUDA "mpidensecuda"
83: #define MATMPIDENSEHIP "mpidensehip"
84: #define MATELEMENTAL "elemental"
85: #define MATSCALAPACK "scalapack"
86: #define MATBAIJ "baij"
87: #define MATSEQBAIJ "seqbaij"
88: #define MATMPIBAIJ "mpibaij"
89: #define MATMPIADJ "mpiadj"
90: #define MATSBAIJ "sbaij"
91: #define MATSEQSBAIJ "seqsbaij"
92: #define MATMPISBAIJ "mpisbaij"
93: #define MATMFFD "mffd"
94: #define MATNORMAL "normal"
95: #define MATNORMALHERMITIAN "normalh"
96: #define MATLRC "lrc"
97: #define MATSCATTER "scatter"
98: #define MATBLOCKMAT "blockmat"
99: #define MATCOMPOSITE "composite"
100: #define MATFFT "fft"
101: #define MATFFTW "fftw"
102: #define MATSEQCUFFT "seqcufft"
103: #define MATSEQHIPFFT "seqhipfft"
104: #define MATTRANSPOSEMAT PETSC_DEPRECATED_MACRO(3, 18, 0, "MATTRANSPOSEVIRTUAL", ) "transpose"
105: #define MATTRANSPOSEVIRTUAL "transpose"
106: #define MATHERMITIANTRANSPOSEVIRTUAL "hermitiantranspose"
107: #define MATSCHURCOMPLEMENT "schurcomplement"
108: #define MATPYTHON "python"
109: #define MATHYPRE "hypre"
110: #define MATHYPRESTRUCT "hyprestruct"
111: #define MATHYPRESSTRUCT "hypresstruct"
112: #define MATSUBMATRIX "submatrix"
113: #define MATLOCALREF "localref"
114: #define MATNEST "nest"
115: #define MATPREALLOCATOR "preallocator"
116: #define MATSELL "sell"
117: #define MATSEQSELL "seqsell"
118: #define MATMPISELL "mpisell"
119: #define MATSELLCUDA "sellcuda"
120: #define MATSEQSELLCUDA "seqsellcuda"
121: #define MATMPISELLCUDA "mpisellcuda"
122: #define MATDUMMY "dummy"
123: #define MATLMVM "lmvm"
124: #define MATLMVMDFP "lmvmdfp"
125: #define MATLMVMBFGS "lmvmbfgs"
126: #define MATLMVMSR1 "lmvmsr1"
127: #define MATLMVMBROYDEN "lmvmbroyden"
128: #define MATLMVMBADBROYDEN "lmvmbadbroyden"
129: #define MATLMVMSYMBROYDEN "lmvmsymbroyden"
130: #define MATLMVMSYMBADBROYDEN "lmvmsymbadbroyden"
131: #define MATLMVMDIAGBROYDEN "lmvmdiagbroyden"
132: #define MATCONSTANTDIAGONAL "constantdiagonal"
133: #define MATDIAGONAL "diagonal"
134: #define MATHTOOL "htool"
135: #define MATH2OPUS "h2opus"
137: /*J
138: MatSolverType - String with the name of a PETSc factorization-based matrix solver type.
140: For example: "petsc" indicates what PETSc provides, "superlu_dist" the parallel SuperLU_DIST package etc
142: Level: beginner
144: Note:
145: `MATSOLVERUMFPACK`, `MATSOLVERCHOLMOD`, `MATSOLVERKLU`, `MATSOLVERSPQR` form the SuiteSparse package; you can use `--download-suitesparse` as
146: a ./configure option to install them
148: .seealso: [](sec_matfactor), [](ch_matrices), `MatGetFactor()`, `PCFactorSetMatSolverType()`, `PCFactorGetMatSolverType()`
149: J*/
150: typedef const char *MatSolverType;
151: #define MATSOLVERSUPERLU "superlu"
152: #define MATSOLVERSUPERLU_DIST "superlu_dist"
153: #define MATSOLVERSTRUMPACK "strumpack"
154: #define MATSOLVERUMFPACK "umfpack"
155: #define MATSOLVERCHOLMOD "cholmod"
156: #define MATSOLVERKLU "klu"
157: #define MATSOLVERELEMENTAL "elemental"
158: #define MATSOLVERSCALAPACK "scalapack"
159: #define MATSOLVERESSL "essl"
160: #define MATSOLVERLUSOL "lusol"
161: #define MATSOLVERMUMPS "mumps"
162: #define MATSOLVERMKL_PARDISO "mkl_pardiso"
163: #define MATSOLVERMKL_CPARDISO "mkl_cpardiso"
164: #define MATSOLVERPASTIX "pastix"
165: #define MATSOLVERMATLAB "matlab"
166: #define MATSOLVERPETSC "petsc"
167: #define MATSOLVERBAS "bas"
168: #define MATSOLVERCUSPARSE "cusparse"
169: #define MATSOLVERCUDA "cuda"
170: #define MATSOLVERHIPSPARSE "hipsparse"
171: #define MATSOLVERHIP "hip"
172: #define MATSOLVERKOKKOS "kokkos"
173: #define MATSOLVERSPQR "spqr"
175: /*E
176: MatFactorType - indicates what type of factorization is requested
178: Values:
179: + `MAT_FACTOR_LU` - LU factorization
180: . `MAT_FACTOR_CHOLESKY` - Cholesky factorization
181: . `MAT_FACTOR_ILU` - ILU factorization
182: . `MAT_FACTOR_ICC` - incomplete Cholesky factorization
183: . `MAT_FACTOR_ILUDT` - ILU factorization with drop tolerance
184: - `MAT_FACTOR_QR` - QR factorization
186: Level: beginner
188: .seealso: [](ch_matrices), `MatSolverType`, `MatGetFactor()`, `MatGetFactorAvailable()`, `MatSolverTypeRegister()`
189: E*/
190: typedef enum {
191: MAT_FACTOR_NONE,
192: MAT_FACTOR_LU,
193: MAT_FACTOR_CHOLESKY,
194: MAT_FACTOR_ILU,
195: MAT_FACTOR_ICC,
196: MAT_FACTOR_ILUDT,
197: MAT_FACTOR_QR,
198: MAT_FACTOR_NUM_TYPES
199: } MatFactorType;
200: PETSC_EXTERN const char *const MatFactorTypes[];
202: PETSC_EXTERN PetscErrorCode MatGetFactor(Mat, MatSolverType, MatFactorType, Mat *);
203: PETSC_EXTERN PetscErrorCode MatGetFactorAvailable(Mat, MatSolverType, MatFactorType, PetscBool *);
204: PETSC_EXTERN PetscErrorCode MatFactorGetCanUseOrdering(Mat, PetscBool *);
205: PETSC_DEPRECATED_FUNCTION(3, 15, 0, "MatFactorGetCanUseOrdering()", ) static inline PetscErrorCode MatFactorGetUseOrdering(Mat A, PetscBool *b)
206: {
207: return MatFactorGetCanUseOrdering(A, b);
208: }
209: PETSC_EXTERN PetscErrorCode MatFactorGetSolverType(Mat, MatSolverType *);
210: PETSC_EXTERN PetscErrorCode MatGetFactorType(Mat, MatFactorType *);
211: PETSC_EXTERN PetscErrorCode MatSetFactorType(Mat, MatFactorType);
212: PETSC_EXTERN_TYPEDEF typedef PetscErrorCode (*MatSolverFunction)(Mat, MatFactorType, Mat *);
213: PETSC_EXTERN PetscErrorCode MatSolverTypeRegister(MatSolverType, MatType, MatFactorType, MatSolverFunction);
214: PETSC_EXTERN PetscErrorCode MatSolverTypeGet(MatSolverType, MatType, MatFactorType, PetscBool *, PetscBool *, MatSolverFunction *);
215: typedef MatSolverType MatSolverPackage PETSC_DEPRECATED_TYPEDEF(3, 9, 0, "MatSolverType", );
216: PETSC_DEPRECATED_FUNCTION(3, 9, 0, "MatSolverTypeRegister()", ) static inline PetscErrorCode MatSolverPackageRegister(MatSolverType stype, MatType mtype, MatFactorType ftype, MatSolverFunction f)
217: {
218: return MatSolverTypeRegister(stype, mtype, ftype, f);
219: }
220: PETSC_DEPRECATED_FUNCTION(3, 9, 0, "MatSolverTypeGet()", ) static inline PetscErrorCode MatSolverPackageGet(MatSolverType stype, MatType mtype, MatFactorType ftype, PetscBool *foundmtype, PetscBool *foundstype, MatSolverFunction *f)
221: {
222: return MatSolverTypeGet(stype, mtype, ftype, foundmtype, foundstype, f);
223: }
225: /*E
226: MatProductType - indicates what type of matrix product to compute
228: Values:
229: + `MATPRODUCT_AB` - product of two matrices
230: . `MATPRODUCT_AtB` - product of the transpose of a given matrix with a matrix
231: . `MATPRODUCT_ABt` - product of a matrix with the transpose of another given matrix
232: . `MATPRODUCT_PtAP` - the triple product of the transpose of a matrix with another matrix and itself
233: . `MATPRODUCT_RARt` - the triple product of a matrix, another matrix and the transpose of the first matrix
234: - `MATPRODUCT_ABC` - the product of three matrices
236: Level: beginner
238: .seealso: [](sec_matmatproduct), [](ch_matrices), `MatProductSetType()`
239: E*/
240: typedef enum {
241: MATPRODUCT_UNSPECIFIED = 0,
242: MATPRODUCT_AB,
243: MATPRODUCT_AtB,
244: MATPRODUCT_ABt,
245: MATPRODUCT_PtAP,
246: MATPRODUCT_RARt,
247: MATPRODUCT_ABC
248: } MatProductType;
249: PETSC_EXTERN const char *const MatProductTypes[];
251: /*J
252: MatProductAlgorithm - String with the name of an algorithm for a PETSc matrix product implementation
254: Level: beginner
256: .seealso: [](sec_matmatproduct), [](ch_matrices), `MatSetType()`, `Mat`, `MatProductSetAlgorithm()`, `MatProductType`
257: J*/
258: typedef const char *MatProductAlgorithm;
259: #define MATPRODUCTALGORITHMDEFAULT "default"
260: #define MATPRODUCTALGORITHMSORTED "sorted"
261: #define MATPRODUCTALGORITHMSCALABLE "scalable"
262: #define MATPRODUCTALGORITHMSCALABLEFAST "scalable_fast"
263: #define MATPRODUCTALGORITHMHEAP "heap"
264: #define MATPRODUCTALGORITHMBHEAP "btheap"
265: #define MATPRODUCTALGORITHMLLCONDENSED "llcondensed"
266: #define MATPRODUCTALGORITHMROWMERGE "rowmerge"
267: #define MATPRODUCTALGORITHMOUTERPRODUCT "outerproduct"
268: #define MATPRODUCTALGORITHMATB "at*b"
269: #define MATPRODUCTALGORITHMRAP "rap"
270: #define MATPRODUCTALGORITHMNONSCALABLE "nonscalable"
271: #define MATPRODUCTALGORITHMSEQMPI "seqmpi"
272: #define MATPRODUCTALGORITHMBACKEND "backend"
273: #define MATPRODUCTALGORITHMOVERLAPPING "overlapping"
274: #define MATPRODUCTALGORITHMMERGED "merged"
275: #define MATPRODUCTALGORITHMALLATONCE "allatonce"
276: #define MATPRODUCTALGORITHMALLATONCEMERGED "allatonce_merged"
277: #define MATPRODUCTALGORITHMALLGATHERV "allgatherv"
278: #define MATPRODUCTALGORITHMCYCLIC "cyclic"
279: #if defined(PETSC_HAVE_HYPRE)
280: #define MATPRODUCTALGORITHMHYPRE "hypre"
281: #endif
283: PETSC_EXTERN PetscErrorCode MatProductCreate(Mat, Mat, Mat, Mat *);
284: PETSC_EXTERN PetscErrorCode MatProductCreateWithMat(Mat, Mat, Mat, Mat);
285: PETSC_EXTERN PetscErrorCode MatProductSetType(Mat, MatProductType);
286: PETSC_EXTERN PetscErrorCode MatProductSetAlgorithm(Mat, MatProductAlgorithm);
287: PETSC_EXTERN PetscErrorCode MatProductSetFill(Mat, PetscReal);
288: PETSC_EXTERN PetscErrorCode MatProductSetFromOptions(Mat);
289: PETSC_EXTERN PetscErrorCode MatProductSymbolic(Mat);
290: PETSC_EXTERN PetscErrorCode MatProductNumeric(Mat);
291: PETSC_EXTERN PetscErrorCode MatProductReplaceMats(Mat, Mat, Mat, Mat);
292: PETSC_EXTERN PetscErrorCode MatProductClear(Mat);
293: PETSC_EXTERN PetscErrorCode MatProductView(Mat, PetscViewer);
294: PETSC_EXTERN PetscErrorCode MatProductGetType(Mat, MatProductType *);
295: PETSC_EXTERN PetscErrorCode MatProductGetMats(Mat, Mat *, Mat *, Mat *);
297: /* Logging support */
298: #define MAT_FILE_CLASSID 1211216 /* used to indicate matrices in binary files */
299: PETSC_EXTERN PetscClassId MAT_CLASSID;
300: PETSC_EXTERN PetscClassId MAT_COLORING_CLASSID;
301: PETSC_EXTERN PetscClassId MAT_FDCOLORING_CLASSID;
302: PETSC_EXTERN PetscClassId MAT_TRANSPOSECOLORING_CLASSID;
303: PETSC_EXTERN PetscClassId MAT_PARTITIONING_CLASSID;
304: PETSC_EXTERN PetscClassId MAT_COARSEN_CLASSID;
305: PETSC_EXTERN PetscClassId MAT_NULLSPACE_CLASSID;
306: PETSC_EXTERN PetscClassId MATMFFD_CLASSID;
308: /*E
309: MatReuse - Indicates if matrices obtained from a previous call to `MatCreateSubMatrices()`, `MatCreateSubMatrix()`, `MatConvert()` or several other functions
310: are to be reused to store the new matrix values.
312: Values:
313: + `MAT_INITIAL_MATRIX` - create a new matrix
314: . `MAT_REUSE_MATRIX` - reuse the matrix created with a previous call that used `MAT_INITIAL_MATRIX`
315: . `MAT_INPLACE_MATRIX` - replace the first input matrix with the new matrix (not applicable to all functions)
316: - `MAT_IGNORE_MATRIX` - do not create a new matrix or reuse a give matrix, just ignore that matrix argument (not applicable to all functions)
318: Level: beginner
320: .seealso: [](ch_matrices), `Mat`, `MatCreateSubMatrices()`, `MatCreateSubMatrix()`, `MatDestroyMatrices()`, `MatConvert()`
321: E*/
322: typedef enum {
323: MAT_INITIAL_MATRIX,
324: MAT_REUSE_MATRIX,
325: MAT_IGNORE_MATRIX,
326: MAT_INPLACE_MATRIX
327: } MatReuse;
329: /*E
330: MatCreateSubMatrixOption - Indicates if matrices obtained from a call to `MatCreateSubMatrices()`
331: include the matrix values. Currently it is only used by `MatGetSeqNonzeroStructure()`.
333: Values:
334: + `MAT_DO_NOT_GET_VALUES` - do not copy the matrix values
335: - `MAT_GET_VALUES` - copy the matrix values
337: Level: developer
339: Developer Note:
340: Why is not just a boolean used for this information?
342: .seealso: [](ch_matrices), `Mat`, `MatDuplicateOption`, `PetscCopyMode`, `MatGetSeqNonzeroStructure()`
343: E*/
344: typedef enum {
345: MAT_DO_NOT_GET_VALUES,
346: MAT_GET_VALUES
347: } MatCreateSubMatrixOption;
349: PETSC_EXTERN PetscErrorCode MatInitializePackage(void);
350: PETSC_EXTERN PetscErrorCode MatFinalizePackage(void);
352: PETSC_EXTERN PetscErrorCode MatCreate(MPI_Comm, Mat *);
353: PETSC_EXTERN PetscErrorCode MatCreateFromOptions(MPI_Comm, const char *, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, Mat *);
354: PETSC_EXTERN PetscErrorCode MatSetSizes(Mat, PetscInt, PetscInt, PetscInt, PetscInt);
355: PETSC_EXTERN PetscErrorCode MatSetType(Mat, MatType);
356: PETSC_EXTERN PetscErrorCode MatGetVecType(Mat, VecType *);
357: PETSC_EXTERN PetscErrorCode MatSetVecType(Mat, VecType);
358: PETSC_EXTERN PetscErrorCode MatSetFromOptions(Mat);
359: PETSC_EXTERN PetscErrorCode MatViewFromOptions(Mat, PetscObject, const char[]);
360: PETSC_EXTERN PetscErrorCode MatRegister(const char[], PetscErrorCode (*)(Mat));
361: PETSC_EXTERN PetscErrorCode MatRegisterRootName(const char[], const char[], const char[]);
362: PETSC_EXTERN PetscErrorCode MatSetOptionsPrefix(Mat, const char[]);
363: PETSC_EXTERN PetscErrorCode MatSetOptionsPrefixFactor(Mat, const char[]);
364: PETSC_EXTERN PetscErrorCode MatAppendOptionsPrefixFactor(Mat, const char[]);
365: PETSC_EXTERN PetscErrorCode MatAppendOptionsPrefix(Mat, const char[]);
366: PETSC_EXTERN PetscErrorCode MatGetOptionsPrefix(Mat, const char *[]);
367: PETSC_EXTERN PetscErrorCode MatSetErrorIfFailure(Mat, PetscBool);
369: PETSC_EXTERN PetscFunctionList MatList;
370: PETSC_EXTERN PetscFunctionList MatColoringList;
371: PETSC_EXTERN PetscFunctionList MatPartitioningList;
373: /*E
374: MatStructure - Indicates if two matrices have the same nonzero structure
376: Values:
377: + `SAME_NONZERO_PATTERN` - the two matrices have identical nonzero patterns
378: . `DIFFERENT_NONZERO_PATTERN` - the two matrices may have different nonzero patterns
379: . `SUBSET_NONZERO_PATTERN` - the nonzero pattern of the second matrix is a subset of the nonzero pattern of the first matrix
380: - `UNKNOWN_NONZERO_PATTERN` - there is no known relationship between the nonzero patterns. In this case the implementations
381: may try to detect a relationship to optimize the operation
383: Level: beginner
385: Note:
386: Certain matrix operations (such as `MatAXPY()`) can run much faster if the sparsity pattern of the matrices are the same. But actually determining if
387: the patterns are the same may be costly. This provides a way for users who know something about the sparsity patterns to provide this information
388: to certain PETSc routines.
390: .seealso: [](ch_matrices), `Mat`, `MatCopy()`, `MatAXPY()`, `MatAYPX()`
391: E*/
392: typedef enum {
393: DIFFERENT_NONZERO_PATTERN,
394: SUBSET_NONZERO_PATTERN,
395: SAME_NONZERO_PATTERN,
396: UNKNOWN_NONZERO_PATTERN
397: } MatStructure;
398: PETSC_EXTERN const char *const MatStructures[];
400: #if defined PETSC_HAVE_MKL_SPARSE
401: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJMKL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
402: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJMKL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
403: PETSC_EXTERN PetscErrorCode MatCreateBAIJMKL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
404: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJMKL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
405: #endif
407: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJPERM(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
408: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJPERM(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
410: PETSC_EXTERN PetscErrorCode MatCreateSeqSELL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
411: PETSC_EXTERN PetscErrorCode MatCreateSELL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
412: PETSC_EXTERN PetscErrorCode MatSeqSELLSetPreallocation(Mat, PetscInt, const PetscInt[]);
413: PETSC_EXTERN PetscErrorCode MatMPISELLSetPreallocation(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
414: PETSC_EXTERN PetscErrorCode MatSeqSELLGetFillRatio(Mat, PetscReal *);
415: PETSC_EXTERN PetscErrorCode MatSeqSELLGetMaxSliceWidth(Mat, PetscInt *);
416: PETSC_EXTERN PetscErrorCode MatSeqSELLGetAvgSliceWidth(Mat, PetscReal *);
417: PETSC_EXTERN PetscErrorCode MatSeqSELLSetSliceHeight(Mat, PetscInt);
418: PETSC_EXTERN PetscErrorCode MatSeqSELLGetVarSliceSize(Mat, PetscReal *);
420: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJSELL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
421: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSELL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
422: PETSC_EXTERN PetscErrorCode MatMPISELLGetLocalMatCondensed(Mat, MatReuse, IS *, IS *, Mat *);
423: PETSC_EXTERN PetscErrorCode MatMPISELLGetSeqSELL(Mat, Mat *, Mat *, const PetscInt *[]);
425: PETSC_EXTERN PetscErrorCode MatCreateSeqDense(MPI_Comm, PetscInt, PetscInt, PetscScalar[], Mat *);
426: PETSC_EXTERN PetscErrorCode MatCreateDense(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar[], Mat *);
427: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
428: PETSC_EXTERN PetscErrorCode MatCreateAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
429: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], Mat *);
430: PETSC_EXTERN PetscErrorCode MatUpdateMPIAIJWithArrays(Mat, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]);
431: PETSC_EXTERN PetscErrorCode MatUpdateMPIAIJWithArray(Mat, const PetscScalar[]);
432: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSplitArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], PetscInt[], PetscInt[], PetscScalar[], Mat *);
433: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSeqAIJ(MPI_Comm, Mat, Mat, const PetscInt[], Mat *);
435: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
436: PETSC_EXTERN PetscErrorCode MatCreateBAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
437: PETSC_EXTERN PetscErrorCode MatCreateMPIBAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], Mat *);
439: PETSC_EXTERN PetscErrorCode MatSetPreallocationCOO(Mat, PetscCount, PetscInt[], PetscInt[]);
440: PETSC_EXTERN PetscErrorCode MatSetPreallocationCOOLocal(Mat, PetscCount, PetscInt[], PetscInt[]);
441: PETSC_EXTERN PetscErrorCode MatSetValuesCOO(Mat, const PetscScalar[], InsertMode);
443: PETSC_EXTERN PetscErrorCode MatCreateMPIAdj(MPI_Comm, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscInt[], Mat *);
444: PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
446: PETSC_EXTERN PetscErrorCode MatCreateSBAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
447: PETSC_EXTERN PetscErrorCode MatCreateMPISBAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], Mat *);
448: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocationCSR(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]);
449: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocationCSR(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]);
450: PETSC_EXTERN PetscErrorCode MatXAIJSetPreallocation(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscInt[], const PetscInt[]);
452: PETSC_EXTERN PetscErrorCode MatCreateShell(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, void *, Mat *);
453: PETSC_EXTERN PetscErrorCode MatCreateCentering(MPI_Comm, PetscInt, PetscInt, Mat *);
454: PETSC_EXTERN PetscErrorCode MatCreateNormal(Mat, Mat *);
455: PETSC_EXTERN PetscErrorCode MatCreateNormalHermitian(Mat, Mat *);
456: PETSC_EXTERN PetscErrorCode MatCreateLRC(Mat, Mat, Vec, Mat, Mat *);
457: PETSC_EXTERN PetscErrorCode MatLRCGetMats(Mat, Mat *, Mat *, Vec *, Mat *);
458: PETSC_EXTERN PetscErrorCode MatLRCSetMats(Mat, Mat, Mat, Vec, Mat);
459: PETSC_EXTERN PetscErrorCode MatCreateIS(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, ISLocalToGlobalMapping, ISLocalToGlobalMapping, Mat *);
460: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCRL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
461: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJCRL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
463: PETSC_EXTERN PetscErrorCode MatCreateScatter(MPI_Comm, VecScatter, Mat *);
464: PETSC_EXTERN PetscErrorCode MatScatterSetVecScatter(Mat, VecScatter);
465: PETSC_EXTERN PetscErrorCode MatScatterGetVecScatter(Mat, VecScatter *);
466: PETSC_EXTERN PetscErrorCode MatCreateBlockMat(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt *, Mat *);
467: PETSC_EXTERN PetscErrorCode MatCompositeAddMat(Mat, Mat);
468: PETSC_EXTERN PetscErrorCode MatCompositeMerge(Mat);
469: typedef enum {
470: MAT_COMPOSITE_MERGE_RIGHT,
471: MAT_COMPOSITE_MERGE_LEFT
472: } MatCompositeMergeType;
473: PETSC_EXTERN PetscErrorCode MatCompositeSetMergeType(Mat, MatCompositeMergeType);
474: PETSC_EXTERN PetscErrorCode MatCreateComposite(MPI_Comm, PetscInt, const Mat *, Mat *);
475: typedef enum {
476: MAT_COMPOSITE_ADDITIVE,
477: MAT_COMPOSITE_MULTIPLICATIVE
478: } MatCompositeType;
479: PETSC_EXTERN PetscErrorCode MatCompositeSetType(Mat, MatCompositeType);
480: PETSC_EXTERN PetscErrorCode MatCompositeGetType(Mat, MatCompositeType *);
481: PETSC_EXTERN PetscErrorCode MatCompositeSetMatStructure(Mat, MatStructure);
482: PETSC_EXTERN PetscErrorCode MatCompositeGetMatStructure(Mat, MatStructure *);
483: PETSC_EXTERN PetscErrorCode MatCompositeGetNumberMat(Mat, PetscInt *);
484: PETSC_EXTERN PetscErrorCode MatCompositeGetMat(Mat, PetscInt, Mat *);
485: PETSC_EXTERN PetscErrorCode MatCompositeSetScalings(Mat, const PetscScalar *);
487: PETSC_EXTERN PetscErrorCode MatCreateFFT(MPI_Comm, PetscInt, const PetscInt[], MatType, Mat *);
488: PETSC_EXTERN PetscErrorCode MatCreateSeqCUFFT(MPI_Comm, PetscInt, const PetscInt[], Mat *);
490: PETSC_EXTERN PetscErrorCode MatCreateTranspose(Mat, Mat *);
491: PETSC_EXTERN PetscErrorCode MatTransposeGetMat(Mat, Mat *);
492: PETSC_EXTERN PetscErrorCode MatCreateHermitianTranspose(Mat, Mat *);
493: PETSC_EXTERN PetscErrorCode MatHermitianTransposeGetMat(Mat, Mat *);
494: PETSC_EXTERN PetscErrorCode MatNormalGetMat(Mat, Mat *);
495: PETSC_EXTERN PetscErrorCode MatNormalHermitianGetMat(Mat, Mat *);
496: PETSC_EXTERN PetscErrorCode MatCreateSubMatrixVirtual(Mat, IS, IS, Mat *);
497: PETSC_EXTERN PetscErrorCode MatSubMatrixVirtualUpdate(Mat, Mat, IS, IS);
498: PETSC_EXTERN PetscErrorCode MatCreateLocalRef(Mat, IS, IS, Mat *);
499: PETSC_EXTERN PetscErrorCode MatCreateConstantDiagonal(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar, Mat *);
500: PETSC_EXTERN PetscErrorCode MatCreateDiagonal(Vec, Mat *);
501: PETSC_EXTERN PetscErrorCode MatDiagonalGetDiagonal(Mat, Vec *);
502: PETSC_EXTERN PetscErrorCode MatDiagonalRestoreDiagonal(Mat, Vec *);
503: PETSC_EXTERN PetscErrorCode MatDiagonalGetInverseDiagonal(Mat, Vec *);
504: PETSC_EXTERN PetscErrorCode MatDiagonalRestoreInverseDiagonal(Mat, Vec *);
506: #if defined(PETSC_HAVE_HYPRE)
507: PETSC_EXTERN PetscErrorCode MatHYPRESetPreallocation(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
508: #endif
510: PETSC_EXTERN PetscErrorCode MatPythonSetType(Mat, const char[]);
511: PETSC_EXTERN PetscErrorCode MatPythonGetType(Mat, const char *[]);
513: PETSC_EXTERN PetscErrorCode MatResetPreallocation(Mat);
514: PETSC_EXTERN PetscErrorCode MatSetUp(Mat);
515: PETSC_EXTERN PetscErrorCode MatDestroy(Mat *);
516: PETSC_EXTERN PetscErrorCode MatGetNonzeroState(Mat, PetscObjectState *);
518: PETSC_EXTERN PetscErrorCode MatConjugate(Mat);
519: PETSC_EXTERN PetscErrorCode MatRealPart(Mat);
520: PETSC_EXTERN PetscErrorCode MatImaginaryPart(Mat);
521: PETSC_EXTERN PetscErrorCode MatGetDiagonalBlock(Mat, Mat *);
522: PETSC_EXTERN PetscErrorCode MatGetTrace(Mat, PetscScalar *);
523: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonal(Mat, const PetscScalar **);
524: PETSC_EXTERN PetscErrorCode MatInvertVariableBlockDiagonal(Mat, PetscInt, const PetscInt *, PetscScalar *);
525: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonalMat(Mat, Mat);
526: PETSC_EXTERN PetscErrorCode MatInvertVariableBlockEnvelope(Mat, MatReuse, Mat *);
527: PETSC_EXTERN PetscErrorCode MatComputeVariableBlockEnvelope(Mat);
529: PETSC_EXTERN PetscErrorCode MatSetValues(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
530: PETSC_EXTERN PetscErrorCode MatSetValuesIS(Mat, IS, IS, const PetscScalar[], InsertMode);
531: PETSC_EXTERN PetscErrorCode MatSetValuesBlocked(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
532: PETSC_EXTERN PetscErrorCode MatSetValuesRow(Mat, PetscInt, const PetscScalar[]);
533: PETSC_EXTERN PetscErrorCode MatSetValuesRowLocal(Mat, PetscInt, const PetscScalar[]);
534: PETSC_EXTERN PetscErrorCode MatSetValuesBatch(Mat, PetscInt, PetscInt, PetscInt[], const PetscScalar[]);
535: PETSC_EXTERN PetscErrorCode MatSetRandom(Mat, PetscRandom);
537: /*S
538: MatStencil - Data structure (C struct) for storing information about rows and
539: columns of a matrix as indexed on an associated grid. These are arguments to `MatSetStencil()` and `MatSetBlockStencil()`
541: Level: beginner
543: Notes:
544: The i,j, and k represent the logical coordinates over the entire grid (for 2 and 1 dimensional problems the k and j entries are ignored).
545: The c represents the the degrees of freedom at each grid point (the dof argument to `DMDASetDOF()`). If dof is 1 then this entry is ignored.
547: For stencil access to vectors see `DMDAVecGetArray()`, `DMDAVecGetArrayF90()`.
549: For staggered grids, see `DMStagStencil`
551: Fortran Note:
552: See `MatSetValuesStencil()` for details.
554: .seealso: [](ch_matrices), `Mat`, `MatSetValuesStencil()`, `MatSetStencil()`, `MatSetValuesBlockedStencil()`, `DMDAVecGetArray()`, `DMDAVecGetArrayF90()`,
555: `DMStagStencil`
556: S*/
557: typedef struct {
558: PetscInt k, j, i, c;
559: } MatStencil;
561: PETSC_EXTERN PetscErrorCode MatSetValuesStencil(Mat, PetscInt, const MatStencil[], PetscInt, const MatStencil[], const PetscScalar[], InsertMode);
562: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedStencil(Mat, PetscInt, const MatStencil[], PetscInt, const MatStencil[], const PetscScalar[], InsertMode);
563: PETSC_EXTERN PetscErrorCode MatSetStencil(Mat, PetscInt, const PetscInt[], const PetscInt[], PetscInt);
565: /*E
566: MatAssemblyType - Indicates if the process of setting values into the matrix is complete, and the matrix is ready for use
568: Values:
569: + `MAT_FLUSH_ASSEMBLY` - you will continue to put values into the matrix
570: - `MAT_FINAL_ASSEMBLY` - you wish to use the matrix with the values currently inserted
572: Level: beginner
574: .seealso: [](ch_matrices), `Mat`, `MatSetValues`, `MatAssemblyBegin()`, `MatAssemblyEnd()`
575: E*/
576: typedef enum {
577: MAT_FLUSH_ASSEMBLY = 1,
578: MAT_FINAL_ASSEMBLY = 0
579: } MatAssemblyType;
580: PETSC_EXTERN PetscErrorCode MatAssemblyBegin(Mat, MatAssemblyType);
581: PETSC_EXTERN PetscErrorCode MatAssemblyEnd(Mat, MatAssemblyType);
582: PETSC_EXTERN PetscErrorCode MatAssembled(Mat, PetscBool *);
584: /*E
585: MatOption - Options that may be set for a matrix that indicate properties of the matrix or affect its behavior or storage
587: Level: beginner
589: Note:
590: See `MatSetOption()` for the use of the options
592: Developer Note:
593: Entries that are negative need not be called collectively by all processes.
595: .seealso: [](ch_matrices), `Mat`, `MatSetOption()`
596: E*/
597: typedef enum {
598: MAT_OPTION_MIN = -3,
599: MAT_UNUSED_NONZERO_LOCATION_ERR = -2,
600: MAT_ROW_ORIENTED = -1,
601: MAT_SYMMETRIC = 1,
602: MAT_STRUCTURALLY_SYMMETRIC = 2,
603: MAT_FORCE_DIAGONAL_ENTRIES = 3,
604: MAT_IGNORE_OFF_PROC_ENTRIES = 4,
605: MAT_USE_HASH_TABLE = 5,
606: MAT_KEEP_NONZERO_PATTERN = 6,
607: MAT_IGNORE_ZERO_ENTRIES = 7,
608: MAT_USE_INODES = 8,
609: MAT_HERMITIAN = 9,
610: MAT_SYMMETRY_ETERNAL = 10,
611: MAT_NEW_NONZERO_LOCATION_ERR = 11,
612: MAT_IGNORE_LOWER_TRIANGULAR = 12,
613: MAT_ERROR_LOWER_TRIANGULAR = 13,
614: MAT_GETROW_UPPERTRIANGULAR = 14,
615: MAT_SPD = 15,
616: MAT_NO_OFF_PROC_ZERO_ROWS = 16,
617: MAT_NO_OFF_PROC_ENTRIES = 17,
618: MAT_NEW_NONZERO_LOCATIONS = 18,
619: MAT_NEW_NONZERO_ALLOCATION_ERR = 19,
620: MAT_SUBSET_OFF_PROC_ENTRIES = 20,
621: MAT_SUBMAT_SINGLEIS = 21,
622: MAT_STRUCTURE_ONLY = 22,
623: MAT_SORTED_FULL = 23,
624: MAT_FORM_EXPLICIT_TRANSPOSE = 24,
625: MAT_STRUCTURAL_SYMMETRY_ETERNAL = 25,
626: MAT_SPD_ETERNAL = 26,
627: MAT_OPTION_MAX = 27
628: } MatOption;
630: PETSC_EXTERN const char *const *MatOptions;
631: PETSC_EXTERN PetscErrorCode MatSetOption(Mat, MatOption, PetscBool);
632: PETSC_EXTERN PetscErrorCode MatGetOption(Mat, MatOption, PetscBool *);
633: PETSC_EXTERN PetscErrorCode MatPropagateSymmetryOptions(Mat, Mat);
634: PETSC_EXTERN PetscErrorCode MatGetType(Mat, MatType *);
636: PETSC_EXTERN PetscErrorCode MatGetValues(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], PetscScalar[]);
637: PETSC_EXTERN PetscErrorCode MatGetRow(Mat, PetscInt, PetscInt *, const PetscInt *[], const PetscScalar *[]);
638: PETSC_EXTERN PetscErrorCode MatRestoreRow(Mat, PetscInt, PetscInt *, const PetscInt *[], const PetscScalar *[]);
639: PETSC_EXTERN PetscErrorCode MatGetRowUpperTriangular(Mat);
640: PETSC_EXTERN PetscErrorCode MatRestoreRowUpperTriangular(Mat);
641: PETSC_EXTERN PetscErrorCode MatGetColumnVector(Mat, Vec, PetscInt);
642: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArray(Mat, PetscScalar *[]);
643: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArrayRead(Mat, const PetscScalar *[]);
644: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArrayWrite(Mat, PetscScalar *[]);
645: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArray(Mat, PetscScalar *[]);
646: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArrayRead(Mat, const PetscScalar *[]);
647: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArrayWrite(Mat, PetscScalar *[]);
648: PETSC_EXTERN PetscErrorCode MatSeqAIJGetMaxRowNonzeros(Mat, PetscInt *);
649: PETSC_EXTERN PetscErrorCode MatSeqAIJSetValuesLocalFast(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
650: PETSC_EXTERN PetscErrorCode MatSeqAIJSetType(Mat, MatType);
651: PETSC_EXTERN PetscErrorCode MatSeqAIJKron(Mat, Mat, MatReuse, Mat *);
652: PETSC_EXTERN PetscErrorCode MatSeqAIJRegister(const char[], PetscErrorCode (*)(Mat, MatType, MatReuse, Mat *));
653: PETSC_EXTERN PetscFunctionList MatSeqAIJList;
654: PETSC_EXTERN PetscErrorCode MatSeqBAIJGetArray(Mat, PetscScalar *[]);
655: PETSC_EXTERN PetscErrorCode MatSeqBAIJRestoreArray(Mat, PetscScalar *[]);
656: PETSC_EXTERN PetscErrorCode MatSeqSBAIJGetArray(Mat, PetscScalar *[]);
657: PETSC_EXTERN PetscErrorCode MatSeqSBAIJRestoreArray(Mat, PetscScalar *[]);
658: PETSC_EXTERN PetscErrorCode MatDenseGetArray(Mat, PetscScalar *[]);
659: PETSC_EXTERN PetscErrorCode MatDenseRestoreArray(Mat, PetscScalar *[]);
660: PETSC_EXTERN PetscErrorCode MatDensePlaceArray(Mat, const PetscScalar[]);
661: PETSC_EXTERN PetscErrorCode MatDenseReplaceArray(Mat, const PetscScalar[]);
662: PETSC_EXTERN PetscErrorCode MatDenseResetArray(Mat);
663: PETSC_EXTERN PetscErrorCode MatDenseGetArrayRead(Mat, const PetscScalar *[]);
664: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayRead(Mat, const PetscScalar *[]);
665: PETSC_EXTERN PetscErrorCode MatDenseGetArrayWrite(Mat, PetscScalar *[]);
666: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayWrite(Mat, PetscScalar *[]);
667: PETSC_EXTERN PetscErrorCode MatDenseGetArrayAndMemType(Mat, PetscScalar *[], PetscMemType *);
668: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayAndMemType(Mat, PetscScalar *[]);
669: PETSC_EXTERN PetscErrorCode MatDenseGetArrayReadAndMemType(Mat, const PetscScalar *[], PetscMemType *);
670: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayReadAndMemType(Mat, const PetscScalar *[]);
671: PETSC_EXTERN PetscErrorCode MatDenseGetArrayWriteAndMemType(Mat, PetscScalar *[], PetscMemType *);
672: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayWriteAndMemType(Mat, PetscScalar *[]);
673: PETSC_EXTERN PetscErrorCode MatGetBlockSize(Mat, PetscInt *);
674: PETSC_EXTERN PetscErrorCode MatSetBlockSize(Mat, PetscInt);
675: PETSC_EXTERN PetscErrorCode MatGetBlockSizes(Mat, PetscInt *, PetscInt *);
676: PETSC_EXTERN PetscErrorCode MatSetBlockSizes(Mat, PetscInt, PetscInt);
677: PETSC_EXTERN PetscErrorCode MatSetBlockSizesFromMats(Mat, Mat, Mat);
678: PETSC_EXTERN PetscErrorCode MatSetVariableBlockSizes(Mat, PetscInt, PetscInt *);
679: PETSC_EXTERN PetscErrorCode MatGetVariableBlockSizes(Mat, PetscInt *, const PetscInt **);
681: PETSC_EXTERN PetscErrorCode MatDenseGetColumn(Mat, PetscInt, PetscScalar *[]);
682: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumn(Mat, PetscScalar *[]);
683: PETSC_EXTERN PetscErrorCode MatDenseGetColumnVec(Mat, PetscInt, Vec *);
684: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVec(Mat, PetscInt, Vec *);
685: PETSC_EXTERN PetscErrorCode MatDenseGetColumnVecRead(Mat, PetscInt, Vec *);
686: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVecRead(Mat, PetscInt, Vec *);
687: PETSC_EXTERN PetscErrorCode MatDenseGetColumnVecWrite(Mat, PetscInt, Vec *);
688: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVecWrite(Mat, PetscInt, Vec *);
689: PETSC_EXTERN PetscErrorCode MatDenseGetSubMatrix(Mat, PetscInt, PetscInt, PetscInt, PetscInt, Mat *);
690: PETSC_EXTERN PetscErrorCode MatDenseRestoreSubMatrix(Mat, Mat *);
692: PETSC_EXTERN PetscErrorCode MatMult(Mat, Vec, Vec);
693: PETSC_EXTERN PetscErrorCode MatMultDiagonalBlock(Mat, Vec, Vec);
694: PETSC_EXTERN PetscErrorCode MatMultAdd(Mat, Vec, Vec, Vec);
695: PETSC_EXTERN PetscErrorCode MatMultTranspose(Mat, Vec, Vec);
696: PETSC_EXTERN PetscErrorCode MatMultHermitianTranspose(Mat, Vec, Vec);
697: PETSC_EXTERN PetscErrorCode MatIsTranspose(Mat, Mat, PetscReal, PetscBool *);
698: PETSC_EXTERN PetscErrorCode MatIsHermitianTranspose(Mat, Mat, PetscReal, PetscBool *);
699: PETSC_EXTERN PetscErrorCode MatMultTransposeAdd(Mat, Vec, Vec, Vec);
700: PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeAdd(Mat, Vec, Vec, Vec);
701: PETSC_EXTERN PetscErrorCode MatMatSolve(Mat, Mat, Mat);
702: PETSC_EXTERN PetscErrorCode MatMatSolveTranspose(Mat, Mat, Mat);
703: PETSC_EXTERN PetscErrorCode MatMatTransposeSolve(Mat, Mat, Mat);
704: PETSC_EXTERN PetscErrorCode MatResidual(Mat, Vec, Vec, Vec);
706: /*E
707: MatDuplicateOption - Indicates if a duplicated sparse matrix should have
708: its numerical values copied over or just its nonzero structure.
710: Values:
711: + `MAT_DO_NOT_COPY_VALUES` - Create a matrix using the same nonzero pattern as the original matrix,
712: with zeros for the numerical values
713: . `MAT_COPY_VALUES` - Create a matrix with the same nonzero pattern as the original matrix
714: and with the same numerical values.
715: - `MAT_SHARE_NONZERO_PATTERN` - Create a matrix that shares the nonzero structure with the previous matrix
716: and does not copy it, using zeros for the numerical values. The parent and
717: child matrices will share their index (i and j) arrays, and you cannot
718: insert new nonzero entries into either matrix
720: Level: beginner
722: Note:
723: Many matrix types (including `MATSEQAIJ`) do not support the `MAT_SHARE_NONZERO_PATTERN` optimization; in
724: this case the behavior is as if `MAT_DO_NOT_COPY_VALUES` has been specified.
726: .seealso: [](ch_matrices), `Mat`, `MatDuplicate()`
727: E*/
728: typedef enum {
729: MAT_DO_NOT_COPY_VALUES,
730: MAT_COPY_VALUES,
731: MAT_SHARE_NONZERO_PATTERN
732: } MatDuplicateOption;
734: PETSC_EXTERN PetscErrorCode MatConvert(Mat, MatType, MatReuse, Mat *);
735: PETSC_EXTERN PetscErrorCode MatDuplicate(Mat, MatDuplicateOption, Mat *);
737: PETSC_EXTERN PetscErrorCode MatCopy(Mat, Mat, MatStructure);
738: PETSC_EXTERN PetscErrorCode MatView(Mat, PetscViewer);
739: PETSC_EXTERN PetscErrorCode MatIsSymmetric(Mat, PetscReal, PetscBool *);
740: PETSC_EXTERN PetscErrorCode MatIsStructurallySymmetric(Mat, PetscBool *);
741: PETSC_EXTERN PetscErrorCode MatIsHermitian(Mat, PetscReal, PetscBool *);
742: PETSC_EXTERN PetscErrorCode MatIsSymmetricKnown(Mat, PetscBool *, PetscBool *);
743: PETSC_EXTERN PetscErrorCode MatIsHermitianKnown(Mat, PetscBool *, PetscBool *);
744: PETSC_EXTERN PetscErrorCode MatIsStructurallySymmetricKnown(Mat, PetscBool *, PetscBool *);
745: PETSC_EXTERN PetscErrorCode MatIsSPDKnown(Mat, PetscBool *, PetscBool *);
746: PETSC_EXTERN PetscErrorCode MatMissingDiagonal(Mat, PetscBool *, PetscInt *);
747: PETSC_EXTERN PetscErrorCode MatLoad(Mat, PetscViewer);
749: PETSC_EXTERN PetscErrorCode MatGetRowIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *);
750: PETSC_EXTERN PetscErrorCode MatRestoreRowIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *);
751: PETSC_EXTERN PetscErrorCode MatGetColumnIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *);
752: PETSC_EXTERN PetscErrorCode MatRestoreColumnIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *);
754: /*S
755: MatInfo - Context of matrix information, used with `MatGetInfo()`
757: Level: intermediate
759: Fortran Note:
760: Information is stored as a double-precision array of dimension `MAT_INFO_SIZE`
762: .seealso: [](ch_matrices), `Mat`, `MatGetInfo()`, `MatInfoType`
763: S*/
764: typedef struct {
765: PetscLogDouble block_size; /* block size */
766: PetscLogDouble nz_allocated, nz_used, nz_unneeded; /* number of nonzeros */
767: PetscLogDouble memory; /* memory allocated */
768: PetscLogDouble assemblies; /* number of matrix assemblies called */
769: PetscLogDouble mallocs; /* number of mallocs during MatSetValues() */
770: PetscLogDouble fill_ratio_given, fill_ratio_needed; /* fill ratio for LU/ILU */
771: PetscLogDouble factor_mallocs; /* number of mallocs during factorization */
772: } MatInfo;
774: /*E
775: MatInfoType - Indicates if you want information about the local part of the matrix,
776: the entire parallel matrix or the maximum over all the local parts.
778: Values:
779: + `MAT_LOCAL` - values for each MPI process part of the matrix
780: . `MAT_GLOBAL_MAX` - maximum of each value over all MPI processes
781: - `MAT_GLOBAL_SUM` - sum of each value over all MPI processes
783: Level: beginner
785: .seealso: [](ch_matrices), `MatGetInfo()`, `MatInfo`
786: E*/
787: typedef enum {
788: MAT_LOCAL = 1,
789: MAT_GLOBAL_MAX = 2,
790: MAT_GLOBAL_SUM = 3
791: } MatInfoType;
792: PETSC_EXTERN PetscErrorCode MatGetInfo(Mat, MatInfoType, MatInfo *);
793: PETSC_EXTERN PetscErrorCode MatGetDiagonal(Mat, Vec);
794: PETSC_EXTERN PetscErrorCode MatGetRowMax(Mat, Vec, PetscInt[]);
795: PETSC_EXTERN PetscErrorCode MatGetRowMin(Mat, Vec, PetscInt[]);
796: PETSC_EXTERN PetscErrorCode MatGetRowMaxAbs(Mat, Vec, PetscInt[]);
797: PETSC_EXTERN PetscErrorCode MatGetRowMinAbs(Mat, Vec, PetscInt[]);
798: PETSC_EXTERN PetscErrorCode MatGetRowSum(Mat, Vec);
799: PETSC_EXTERN PetscErrorCode MatTranspose(Mat, MatReuse, Mat *);
800: PETSC_EXTERN PetscErrorCode MatTransposeSymbolic(Mat, Mat *);
801: PETSC_EXTERN PetscErrorCode MatTransposeSetPrecursor(Mat, Mat);
802: PETSC_EXTERN PetscErrorCode MatHermitianTranspose(Mat, MatReuse, Mat *);
803: PETSC_EXTERN PetscErrorCode MatPermute(Mat, IS, IS, Mat *);
804: PETSC_EXTERN PetscErrorCode MatDiagonalScale(Mat, Vec, Vec);
805: PETSC_EXTERN PetscErrorCode MatDiagonalSet(Mat, Vec, InsertMode);
807: PETSC_EXTERN PetscErrorCode MatEqual(Mat, Mat, PetscBool *);
808: PETSC_EXTERN PetscErrorCode MatMultEqual(Mat, Mat, PetscInt, PetscBool *);
809: PETSC_EXTERN PetscErrorCode MatMultAddEqual(Mat, Mat, PetscInt, PetscBool *);
810: PETSC_EXTERN PetscErrorCode MatMultTransposeEqual(Mat, Mat, PetscInt, PetscBool *);
811: PETSC_EXTERN PetscErrorCode MatMultTransposeAddEqual(Mat, Mat, PetscInt, PetscBool *);
812: PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeEqual(Mat, Mat, PetscInt, PetscBool *);
813: PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeAddEqual(Mat, Mat, PetscInt, PetscBool *);
814: PETSC_EXTERN PetscErrorCode MatMatMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *);
815: PETSC_EXTERN PetscErrorCode MatTransposeMatMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *);
816: PETSC_EXTERN PetscErrorCode MatMatTransposeMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *);
817: PETSC_EXTERN PetscErrorCode MatPtAPMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *);
818: PETSC_EXTERN PetscErrorCode MatRARtMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *);
819: PETSC_EXTERN PetscErrorCode MatIsLinear(Mat, PetscInt, PetscBool *);
821: PETSC_EXTERN PetscErrorCode MatNorm(Mat, NormType, PetscReal *);
822: PETSC_EXTERN PetscErrorCode MatGetColumnNorms(Mat, NormType, PetscReal *);
823: PETSC_EXTERN PetscErrorCode MatGetColumnSums(Mat, PetscScalar *);
824: PETSC_EXTERN PetscErrorCode MatGetColumnSumsRealPart(Mat, PetscReal *);
825: PETSC_EXTERN PetscErrorCode MatGetColumnSumsImaginaryPart(Mat, PetscReal *);
826: PETSC_EXTERN PetscErrorCode MatGetColumnMeans(Mat, PetscScalar *);
827: PETSC_EXTERN PetscErrorCode MatGetColumnMeansRealPart(Mat, PetscReal *);
828: PETSC_EXTERN PetscErrorCode MatGetColumnMeansImaginaryPart(Mat, PetscReal *);
829: PETSC_EXTERN PetscErrorCode MatGetColumnReductions(Mat, PetscInt, PetscReal *);
830: PETSC_EXTERN PetscErrorCode MatZeroEntries(Mat);
831: PETSC_EXTERN PetscErrorCode MatSetInf(Mat);
832: PETSC_EXTERN PetscErrorCode MatZeroRows(Mat, PetscInt, const PetscInt[], PetscScalar, Vec, Vec);
833: PETSC_EXTERN PetscErrorCode MatZeroRowsIS(Mat, IS, PetscScalar, Vec, Vec);
834: PETSC_EXTERN PetscErrorCode MatZeroRowsStencil(Mat, PetscInt, const MatStencil[], PetscScalar, Vec, Vec);
835: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsStencil(Mat, PetscInt, const MatStencil[], PetscScalar, Vec, Vec);
836: PETSC_EXTERN PetscErrorCode MatZeroRowsColumns(Mat, PetscInt, const PetscInt[], PetscScalar, Vec, Vec);
837: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsIS(Mat, IS, PetscScalar, Vec, Vec);
839: PETSC_EXTERN PetscErrorCode MatGetSize(Mat, PetscInt *, PetscInt *);
840: PETSC_EXTERN PetscErrorCode MatGetLocalSize(Mat, PetscInt *, PetscInt *);
841: PETSC_EXTERN PetscErrorCode MatGetOwnershipRange(Mat, PetscInt *, PetscInt *);
842: PETSC_EXTERN PetscErrorCode MatGetOwnershipRanges(Mat, const PetscInt **);
843: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangeColumn(Mat, PetscInt *, PetscInt *);
844: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangesColumn(Mat, const PetscInt **);
845: PETSC_EXTERN PetscErrorCode MatGetOwnershipIS(Mat, IS *, IS *);
847: PETSC_EXTERN PetscErrorCode MatCreateSubMatrices(Mat, PetscInt, const IS[], const IS[], MatReuse, Mat *[]);
848: PETSC_DEPRECATED_FUNCTION(3, 8, 0, "MatCreateSubMatrices()", ) static inline PetscErrorCode MatGetSubMatrices(Mat mat, PetscInt n, const IS irow[], const IS icol[], MatReuse scall, Mat *submat[])
849: {
850: return MatCreateSubMatrices(mat, n, irow, icol, scall, submat);
851: }
852: PETSC_EXTERN PetscErrorCode MatCreateSubMatricesMPI(Mat, PetscInt, const IS[], const IS[], MatReuse, Mat *[]);
853: PETSC_DEPRECATED_FUNCTION(3, 8, 0, "MatCreateSubMatricesMPI()", ) static inline PetscErrorCode MatGetSubMatricesMPI(Mat mat, PetscInt n, const IS irow[], const IS icol[], MatReuse scall, Mat *submat[])
854: {
855: return MatCreateSubMatricesMPI(mat, n, irow, icol, scall, submat);
856: }
857: PETSC_EXTERN PetscErrorCode MatDestroyMatrices(PetscInt, Mat *[]);
858: PETSC_EXTERN PetscErrorCode MatDestroySubMatrices(PetscInt, Mat *[]);
859: PETSC_EXTERN PetscErrorCode MatCreateSubMatrix(Mat, IS, IS, MatReuse, Mat *);
860: PETSC_DEPRECATED_FUNCTION(3, 8, 0, "MatCreateSubMatrix()", ) static inline PetscErrorCode MatGetSubMatrix(Mat mat, IS isrow, IS iscol, MatReuse cll, Mat *newmat)
861: {
862: return MatCreateSubMatrix(mat, isrow, iscol, cll, newmat);
863: }
864: PETSC_EXTERN PetscErrorCode MatGetLocalSubMatrix(Mat, IS, IS, Mat *);
865: PETSC_EXTERN PetscErrorCode MatRestoreLocalSubMatrix(Mat, IS, IS, Mat *);
866: PETSC_EXTERN PetscErrorCode MatGetSeqNonzeroStructure(Mat, Mat *);
867: PETSC_EXTERN PetscErrorCode MatDestroySeqNonzeroStructure(Mat *);
869: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJ(MPI_Comm, Mat, PetscInt, PetscInt, MatReuse, Mat *);
870: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJSymbolic(MPI_Comm, Mat, PetscInt, PetscInt, Mat *);
871: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJNumeric(Mat, Mat);
872: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMat(Mat, MatReuse, Mat *);
873: PETSC_EXTERN PetscErrorCode MatAIJGetLocalMat(Mat, Mat *);
874: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMatCondensed(Mat, MatReuse, IS *, IS *, Mat *);
875: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMatMerge(Mat, MatReuse, IS *, Mat *);
876: PETSC_EXTERN PetscErrorCode MatMPIAIJGetNumberNonzeros(Mat, PetscCount *);
877: PETSC_EXTERN PetscErrorCode MatGetBrowsOfAcols(Mat, Mat, MatReuse, IS *, IS *, Mat *);
878: PETSC_EXTERN PetscErrorCode MatGetGhosts(Mat, PetscInt *, const PetscInt *[]);
880: PETSC_EXTERN PetscErrorCode MatIncreaseOverlap(Mat, PetscInt, IS[], PetscInt);
881: PETSC_EXTERN PetscErrorCode MatIncreaseOverlapSplit(Mat mat, PetscInt n, IS is[], PetscInt ov);
882: PETSC_EXTERN PetscErrorCode MatMPIAIJSetUseScalableIncreaseOverlap(Mat, PetscBool);
884: PETSC_EXTERN PetscErrorCode MatMatMult(Mat, Mat, MatReuse, PetscReal, Mat *);
886: PETSC_EXTERN PetscErrorCode MatMatMatMult(Mat, Mat, Mat, MatReuse, PetscReal, Mat *);
887: PETSC_EXTERN PetscErrorCode MatGalerkin(Mat, Mat, Mat, MatReuse, PetscReal, Mat *);
889: PETSC_EXTERN PetscErrorCode MatPtAP(Mat, Mat, MatReuse, PetscReal, Mat *);
890: PETSC_EXTERN PetscErrorCode MatRARt(Mat, Mat, MatReuse, PetscReal, Mat *);
892: PETSC_EXTERN PetscErrorCode MatTransposeMatMult(Mat, Mat, MatReuse, PetscReal, Mat *);
893: PETSC_EXTERN PetscErrorCode MatMatTransposeMult(Mat, Mat, MatReuse, PetscReal, Mat *);
895: PETSC_EXTERN PetscErrorCode MatAXPY(Mat, PetscScalar, Mat, MatStructure);
896: PETSC_EXTERN PetscErrorCode MatAYPX(Mat, PetscScalar, Mat, MatStructure);
898: PETSC_EXTERN PetscErrorCode MatScale(Mat, PetscScalar);
899: PETSC_EXTERN PetscErrorCode MatShift(Mat, PetscScalar);
901: PETSC_EXTERN PetscErrorCode MatSetLocalToGlobalMapping(Mat, ISLocalToGlobalMapping, ISLocalToGlobalMapping);
902: PETSC_EXTERN PetscErrorCode MatGetLocalToGlobalMapping(Mat, ISLocalToGlobalMapping *, ISLocalToGlobalMapping *);
903: PETSC_EXTERN PetscErrorCode MatGetLayouts(Mat, PetscLayout *, PetscLayout *);
904: PETSC_EXTERN PetscErrorCode MatSetLayouts(Mat, PetscLayout, PetscLayout);
905: PETSC_EXTERN PetscErrorCode MatZeroRowsLocal(Mat, PetscInt, const PetscInt[], PetscScalar, Vec, Vec);
906: PETSC_EXTERN PetscErrorCode MatZeroRowsLocalIS(Mat, IS, PetscScalar, Vec, Vec);
907: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocal(Mat, PetscInt, const PetscInt[], PetscScalar, Vec, Vec);
908: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocalIS(Mat, IS, PetscScalar, Vec, Vec);
909: PETSC_EXTERN PetscErrorCode MatGetValuesLocal(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], PetscScalar[]);
910: PETSC_EXTERN PetscErrorCode MatSetValuesLocal(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
911: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedLocal(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
913: PETSC_EXTERN PetscErrorCode MatStashSetInitialSize(Mat, PetscInt, PetscInt);
914: PETSC_EXTERN PetscErrorCode MatStashGetInfo(Mat, PetscInt *, PetscInt *, PetscInt *, PetscInt *);
916: PETSC_EXTERN PetscErrorCode MatInterpolate(Mat, Vec, Vec);
917: PETSC_EXTERN PetscErrorCode MatInterpolateAdd(Mat, Vec, Vec, Vec);
918: PETSC_EXTERN PetscErrorCode MatRestrict(Mat, Vec, Vec);
919: PETSC_EXTERN PetscErrorCode MatMatInterpolate(Mat, Mat, Mat *);
920: PETSC_EXTERN PetscErrorCode MatMatInterpolateAdd(Mat, Mat, Mat, Mat *);
921: PETSC_EXTERN PetscErrorCode MatMatRestrict(Mat, Mat, Mat *);
922: PETSC_EXTERN PetscErrorCode MatCreateVecs(Mat, Vec *, Vec *);
923: PETSC_DEPRECATED_FUNCTION(3, 6, 0, "MatCreateVecs()", ) static inline PetscErrorCode MatGetVecs(Mat mat, Vec *x, Vec *y)
924: {
925: return MatCreateVecs(mat, x, y);
926: }
927: PETSC_EXTERN PetscErrorCode MatCreateRedundantMatrix(Mat, PetscInt, MPI_Comm, MatReuse, Mat *);
928: PETSC_EXTERN PetscErrorCode MatGetMultiProcBlock(Mat, MPI_Comm, MatReuse, Mat *);
929: PETSC_EXTERN PetscErrorCode MatFindZeroDiagonals(Mat, IS *);
930: PETSC_EXTERN PetscErrorCode MatFindOffBlockDiagonalEntries(Mat, IS *);
931: PETSC_EXTERN PetscErrorCode MatCreateMPIMatConcatenateSeqMat(MPI_Comm, Mat, PetscInt, MatReuse, Mat *);
933: /*@C
934: MatSetValue - Set a single entry into a matrix.
936: Not Collective
938: Input Parameters:
939: + mat - the matrix
940: . i - the row location of the entry
941: . j - the column location of the entry
942: . va - the value to insert
943: - mode - either `INSERT_VALUES` or `ADD_VALUES`
945: Level: beginner
947: Notes:
948: This value may be cached, so `MatAssemblyBegin()` and `MatAssemblyEnd()`
949: MUST be called after all calls to `MatSetValue()` have been completed.
951: For efficiency one should use `MatSetValues()` and set several values simultaneously.
953: .seealso: [](ch_matrices), `Mat`, `MatAssemblyBegin()`, `MatAssemblyEnd()`, `InsertMode`, `MatGetValue()`, `MatSetValues()`,
954: `MatSetValueLocal()`, `MatSetValuesLocal()`
955: @*/
956: static inline PetscErrorCode MatSetValue(Mat mat, PetscInt i, PetscInt j, PetscScalar va, InsertMode mode)
957: {
958: return MatSetValues(mat, 1, &i, 1, &j, &va, mode);
959: }
961: /*@C
962: MatGetValue - Gets a single value from a matrix
964: Not Collective; can only return a value owned by the given process
966: Input Parameters:
967: + mat - the matrix
968: . row - the row location of the entry
969: - col - the column location of the entry
971: Output Parameter:
972: . va - the value
974: Level: advanced
976: Notes:
977: The matrix must have been assembled with `MatAssemblyBegin()` and `MatAssemblyEnd()` before this call
979: For efficiency one should use `MatGetValues()` and get several values simultaneously.
981: See notes for `MatGetValues()`.
983: .seealso: [](ch_matrices), `Mat`, `MatAssemblyBegin()`, `MatAssemblyEnd()`, `MatSetValue()`, `MatGetValueLocal()`, `MatGetValues()`
984: @*/
985: static inline PetscErrorCode MatGetValue(Mat mat, PetscInt row, PetscInt col, PetscScalar *va)
986: {
987: return MatGetValues(mat, 1, &row, 1, &col, va);
988: }
990: /*@C
991: MatSetValueLocal - Inserts or adds a single value into a matrix, using a local numbering of the nodes.
993: Not Collective
995: Input Parameters:
996: + mat - the matrix
997: . i - the row location of the entry
998: . j - the column location of the entry
999: . va - the value to insert
1000: - mode - either `INSERT_VALUES` or `ADD_VALUES`
1002: Level: intermediate
1004: Notes:
1005: For efficiency one should use `MatSetValuesLocal()` and set several values simultaneously.
1007: See notes for `MatSetValuesLocal()` for additional information on when and how this function can be used.
1009: .seealso: [](ch_matrices), `MatSetValue()`, `MatSetValuesLocal()`
1010: @*/
1011: static inline PetscErrorCode MatSetValueLocal(Mat mat, PetscInt i, PetscInt j, PetscScalar va, InsertMode mode)
1012: {
1013: return MatSetValuesLocal(mat, 1, &i, 1, &j, &va, mode);
1014: }
1016: /*MC
1017: MatPreallocateBegin - Begins the block of code that will count the number of nonzeros per
1018: row in a matrix providing the data that one can use to correctly preallocate the matrix.
1020: Synopsis:
1021: #include <petscmat.h>
1022: PetscErrorCode MatPreallocateBegin(MPI_Comm comm, PetscInt nrows, PetscInt ncols, PetscInt *dnz, PetscInt *onz)
1024: Collective
1026: Input Parameters:
1027: + comm - the communicator that will share the eventually allocated matrix
1028: . nrows - the number of LOCAL rows in the matrix
1029: - ncols - the number of LOCAL columns in the matrix
1031: Output Parameters:
1032: + dnz - the array that will be passed to the matrix preallocation routines
1033: - onz - the other array passed to the matrix preallocation routines
1035: Level: deprecated (since v3.19)
1037: Notes:
1038: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1039: the use of this routine
1041: This is a macro that handles its own error checking, it does not return an error code.
1043: Do not malloc or free `dnz` and `onz`, that is handled internally by these routines
1045: Developer Note:
1046: This is a MACRO, not a function, because it has a leading { that is closed by `PetscPreallocateFinalize()`.
1048: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`, `MatPreallocateSetLocal()`,
1049: `MatPreallocateSymmetricSetLocalBlock()`
1050: M*/
1051: #define MatPreallocateBegin(comm, nrows, ncols, dnz, onz) \
1052: do { \
1053: PetscInt __nrows = (nrows), __ncols = (ncols), __rstart, __end = 0; \
1054: PetscInt PETSC_UNUSED __start; \
1055: PetscCall(PetscCalloc2(__nrows, &(dnz), __nrows, &(onz))); \
1056: PetscCallMPI(MPI_Scan(&__ncols, &__end, 1, MPIU_INT, MPI_SUM, comm)); \
1057: __start = __end - __ncols; \
1058: (void)__start; \
1059: PetscCallMPI(MPI_Scan(&__nrows, &__rstart, 1, MPIU_INT, MPI_SUM, comm)); \
1060: __rstart -= __nrows
1062: #define MatPreallocateInitialize(...) PETSC_DEPRECATED_MACRO(3, 18, 0, "MatPreallocateBegin()", ) MatPreallocateBegin(__VA_ARGS__)
1064: /*MC
1065: MatPreallocateSetLocal - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1066: inserted using a local number of the rows and columns
1068: Synopsis:
1069: #include <petscmat.h>
1070: PetscErrorCode MatPreallocateSetLocal(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1072: Not Collective
1074: Input Parameters:
1075: + map - the row mapping from local numbering to global numbering
1076: . nrows - the number of rows indicated
1077: . rows - the indices of the rows
1078: . cmap - the column mapping from local to global numbering
1079: . ncols - the number of columns in the matrix
1080: . cols - the columns indicated
1081: . dnz - the array that will be passed to the matrix preallocation routines
1082: - onz - the other array passed to the matrix preallocation routines
1084: Level: deprecated (since v3.19)
1086: Notes:
1087: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1088: the use of this routine
1090: Do not malloc or free `dnz` and `onz`, that is handled internally by these routines
1092: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`
1093: `MatPreallocateBegin()`, `MatPreallocateSymmetricSetLocalBlock()`, `MatPreallocateSetLocalRemoveDups()`
1094: M*/
1095: #define MatPreallocateSetLocal(rmap, nrows, rows, cmap, ncols, cols, dnz, onz) \
1096: PetscMacroReturnStandard(PetscCall(ISLocalToGlobalMappingApply(rmap, nrows, rows, rows)); PetscCall(ISLocalToGlobalMappingApply(cmap, ncols, cols, cols)); for (PetscInt __l = 0; __l < nrows; __l++) PetscCall(MatPreallocateSet((rows)[__l], ncols, cols, dnz, onz));)
1098: /*MC
1099: MatPreallocateSetLocalRemoveDups - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1100: inserted using a local number of the rows and columns. This version removes any duplicate columns in cols
1102: Synopsis:
1103: #include <petscmat.h>
1104: PetscErrorCode MatPreallocateSetLocalRemoveDups(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1106: Not Collective
1108: Input Parameters:
1109: + map - the row mapping from local numbering to global numbering
1110: . nrows - the number of rows indicated
1111: . rows - the indices of the rows (these values are mapped to the global values)
1112: . cmap - the column mapping from local to global numbering
1113: . ncols - the number of columns in the matrix (this value will be changed if duplicate columns are found)
1114: . cols - the columns indicated (these values are mapped to the global values, they are then sorted and duplicates removed)
1115: . dnz - the array that will be passed to the matrix preallocation routines
1116: - onz - the other array passed to the matrix preallocation routines
1118: Level: deprecated (since v3.19)
1120: Notes:
1121: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1122: the use of this routine
1124: Do not malloc or free `dnz` and `onz`, that is handled internally by these routines
1126: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`
1127: `MatPreallocateBegin()`, `MatPreallocateSymmetricSetLocalBlock()`, `MatPreallocateSetLocal()`
1128: M*/
1129: #define MatPreallocateSetLocalRemoveDups(rmap, nrows, rows, cmap, ncols, cols, dnz, onz) \
1130: PetscMacroReturnStandard(PetscCall(ISLocalToGlobalMappingApply(rmap, nrows, rows, rows)); PetscCall(ISLocalToGlobalMappingApply(cmap, ncols, cols, cols)); PetscCall(PetscSortRemoveDupsInt(&ncols, cols)); for (PetscInt __l = 0; __l < nrows; __l++) PetscCall(MatPreallocateSet((rows)[__l], ncols, cols, dnz, onz));)
1132: /*MC
1133: MatPreallocateSetLocalBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1134: inserted using a local number of the rows and columns
1136: Synopsis:
1137: #include <petscmat.h>
1138: PetscErrorCode MatPreallocateSetLocalBlock(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1140: Not Collective
1142: Input Parameters:
1143: + map - the row mapping from local numbering to global numbering
1144: . nrows - the number of rows indicated
1145: . rows - the indices of the rows
1146: . cmap - the column mapping from local to global numbering
1147: . ncols - the number of columns in the matrix
1148: . cols - the columns indicated
1149: . dnz - the array that will be passed to the matrix preallocation routines
1150: - onz - the other array passed to the matrix preallocation routines
1152: Level: deprecated (since v3.19)
1154: Notes:
1155: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1156: the use of this routine
1158: Do not malloc or free `dnz` and `onz`, that is handled internally by these routines
1160: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`
1161: `MatPreallocateBegin()`, `MatPreallocateSymmetricSetLocalBlock()`
1162: M*/
1163: #define MatPreallocateSetLocalBlock(rmap, nrows, rows, cmap, ncols, cols, dnz, onz) \
1164: PetscMacroReturnStandard(PetscCall(ISLocalToGlobalMappingApplyBlock(rmap, nrows, rows, rows)); PetscCall(ISLocalToGlobalMappingApplyBlock(cmap, ncols, cols, cols)); for (PetscInt __l = 0; __l < nrows; __l++) PetscCall(MatPreallocateSet((rows)[__l], ncols, cols, dnz, onz));)
1166: /*MC
1167: MatPreallocateSymmetricSetLocalBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1168: inserted using a local number of the rows and columns
1170: Synopsis:
1171: #include <petscmat.h>
1172: PetscErrorCode MatPreallocateSymmetricSetLocalBlock(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1174: Not Collective
1176: Input Parameters:
1177: + map - the mapping between local numbering and global numbering
1178: . nrows - the number of rows indicated
1179: . rows - the indices of the rows
1180: . ncols - the number of columns in the matrix
1181: . cols - the columns indicated
1182: . dnz - the array that will be passed to the matrix preallocation routines
1183: - onz - the other array passed to the matrix preallocation routines
1185: Level: deprecated (since v3.19)
1187: Notes:
1188: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1189: the use of this routine
1191: Do not malloc or free `dnz` and `onz` that is handled internally by these routines
1193: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`
1194: `MatPreallocateBegin()`, `MatPreallocateSetLocal()`
1195: M*/
1196: #define MatPreallocateSymmetricSetLocalBlock(map, nrows, rows, ncols, cols, dnz, onz) \
1197: PetscMacroReturnStandard(PetscCall(ISLocalToGlobalMappingApplyBlock(map, nrows, rows, rows)); PetscCall(ISLocalToGlobalMappingApplyBlock(map, ncols, cols, cols)); for (PetscInt __l = 0; __l < nrows; __l++) PetscCall(MatPreallocateSymmetricSetBlock((rows)[__l], ncols, cols, dnz, onz));)
1199: /*MC
1200: MatPreallocateSet - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1201: inserted using a local number of the rows and columns
1203: Synopsis:
1204: #include <petscmat.h>
1205: PetscErrorCode MatPreallocateSet(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1207: Not Collective
1209: Input Parameters:
1210: + row - the row
1211: . ncols - the number of columns in the matrix
1212: - cols - the columns indicated
1214: Output Parameters:
1215: + dnz - the array that will be passed to the matrix preallocation routines
1216: - onz - the other array passed to the matrix preallocation routines
1218: Level: deprecated (since v3.19)
1220: Notes:
1221: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1222: the use of this routine
1224: Do not malloc or free `dnz` and `onz` that is handled internally by these routines
1226: This is a MACRO, not a function, because it uses variables declared in MatPreallocateBegin().
1228: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`
1229: `MatPreallocateBegin()`, `MatPreallocateSetLocal()`
1230: M*/
1231: #define MatPreallocateSet(row, nc, cols, dnz, onz) \
1232: PetscMacroReturnStandard(PetscCheck(row >= __rstart, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Trying to set preallocation for row %" PetscInt_FMT " less than first local row %" PetscInt_FMT, row, __rstart); PetscCheck(row < __rstart + __nrows, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Trying to set preallocation for row %" PetscInt_FMT " greater than last local row %" PetscInt_FMT, row, __rstart + __nrows - 1); for (PetscInt __i = 0; __i < nc; ++__i) { \
1233: if ((cols)[__i] < __start || (cols)[__i] >= __end) onz[row - __rstart]++; \
1234: else if (dnz[row - __rstart] < __ncols) dnz[row - __rstart]++; \
1235: })
1237: /*MC
1238: MatPreallocateSymmetricSetBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1239: inserted using a local number of the rows and columns
1241: Synopsis:
1242: #include <petscmat.h>
1243: PetscErrorCode MatPreallocateSymmetricSetBlock(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1245: Not Collective
1247: Input Parameters:
1248: + nrows - the number of rows indicated
1249: . rows - the indices of the rows
1250: . ncols - the number of columns in the matrix
1251: . cols - the columns indicated
1252: . dnz - the array that will be passed to the matrix preallocation routines
1253: - onz - the other array passed to the matrix preallocation routines
1255: Level: deprecated (since v3.19)
1257: Notes:
1258: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1259: the use of this routine
1261: Do not malloc or free `dnz` and `onz` that is handled internally by these routines
1263: This is a MACRO, not a function, because it uses variables declared in MatPreallocateBegin().
1265: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateBegin()`,
1266: `MatPreallocateSymmetricSetLocalBlock()`, `MatPreallocateSetLocal()`
1267: M*/
1268: #define MatPreallocateSymmetricSetBlock(row, nc, cols, dnz, onz) \
1269: PetscMacroReturnStandard(for (PetscInt __i = 0; __i < nc; __i++) { \
1270: if (cols[__i] >= __end) onz[row - __rstart]++; \
1271: else if (cols[__i] >= row && dnz[row - __rstart] < __ncols) dnz[row - __rstart]++; \
1272: })
1274: /*MC
1275: MatPreallocateLocation - An alternative to MatPreallocateSet() that puts the nonzero locations into the matrix if it exists
1277: Synopsis:
1278: #include <petscmat.h>
1279: PetscErrorCode MatPreallocateLocations(Mat A,PetscInt row,PetscInt ncols,PetscInt *cols,PetscInt *dnz,PetscInt *onz)
1281: Not Collective
1283: Input Parameters:
1284: + A - matrix
1285: . row - row where values exist (must be local to this process)
1286: . ncols - number of columns
1287: . cols - columns with nonzeros
1288: . dnz - the array that will be passed to the matrix preallocation routines
1289: - onz - the other array passed to the matrix preallocation routines
1291: Level: deprecated (since v3.19)
1293: Notes:
1294: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1295: the use of this routine
1297: Do not malloc or free `dnz` and `onz` that is handled internally by these routines
1299: Developer Note:
1300: This is a MACRO, not a function, because it uses a bunch of variables private to the MatPreallocation.... routines.
1302: .seealso: [](ch_matrices), `MatPreallocateBegin()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`, `MatPreallocateSetLocal()`,
1303: `MatPreallocateSymmetricSetLocalBlock()`
1304: M*/
1305: #define MatPreallocateLocation(A, row, ncols, cols, dnz, onz) (A ? MatSetValues(A, 1, &row, ncols, cols, NULL, INSERT_VALUES) : MatPreallocateSet(row, ncols, cols, dnz, onz))
1307: /*MC
1308: MatPreallocateEnd - Ends the block of code that will count the number of nonzeros per
1309: row in a matrix providing the data that one can use to correctly preallocate the matrix.
1311: Synopsis:
1312: #include <petscmat.h>
1313: PetscErrorCode MatPreallocateEnd(PetscInt *dnz, PetscInt *onz)
1315: Collective
1317: Input Parameters:
1318: + dnz - the array that was be passed to the matrix preallocation routines
1319: - onz - the other array passed to the matrix preallocation routines
1321: Level: deprecated (since v3.19)
1323: Notes:
1324: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1325: the use of this routine
1327: Do not malloc or free `dnz` and `onz`, that is handled internally by these routines
1329: Developer Note:
1330: This is a MACRO, not a function, because it closes the { started in MatPreallocateBegin().
1332: .seealso: [](ch_matrices), `MatPreallocateBegin()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`, `MatPreallocateSetLocal()`,
1333: `MatPreallocateSymmetricSetLocalBlock()`
1334: M*/
1335: #define MatPreallocateEnd(dnz, onz) \
1336: PetscCall(PetscFree2(dnz, onz)); \
1337: } \
1338: while (0)
1340: #define MatPreallocateFinalize(...) PETSC_DEPRECATED_MACRO(3, 18, 0, "MatPreallocateEnd()", ) MatPreallocateEnd(__VA_ARGS__)
1342: /* Routines unique to particular data structures */
1343: PETSC_EXTERN PetscErrorCode MatShellGetContext(Mat, void *);
1345: PETSC_EXTERN PetscErrorCode MatInodeAdjustForInodes(Mat, IS *, IS *);
1346: PETSC_EXTERN PetscErrorCode MatInodeGetInodeSizes(Mat, PetscInt *, PetscInt *[], PetscInt *);
1348: PETSC_EXTERN PetscErrorCode MatSeqAIJSetColumnIndices(Mat, PetscInt[]);
1349: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetColumnIndices(Mat, PetscInt[]);
1350: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], Mat *);
1351: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], Mat *);
1352: PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], Mat *);
1353: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJFromTriple(MPI_Comm, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], Mat *, PetscInt, PetscBool);
1355: #define MAT_SKIP_ALLOCATION -4
1357: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[]);
1358: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[]);
1359: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocation(Mat, PetscInt, const PetscInt[]);
1360: PETSC_EXTERN PetscErrorCode MatSeqAIJSetTotalPreallocation(Mat, PetscInt);
1362: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
1363: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
1364: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocation(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
1365: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocationCSR(Mat, const PetscInt[], const PetscInt[], const PetscScalar[]);
1366: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocationCSR(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]);
1367: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocationCSR(Mat, const PetscInt[], const PetscInt[], const PetscScalar[]);
1368: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocationCSR(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]);
1369: PETSC_EXTERN PetscErrorCode MatMPIAdjSetPreallocation(Mat, PetscInt[], PetscInt[], PetscInt[]);
1370: PETSC_EXTERN PetscErrorCode MatMPIAdjToSeq(Mat, Mat *);
1371: PETSC_EXTERN PetscErrorCode MatMPIAdjToSeqRankZero(Mat, Mat *);
1372: PETSC_EXTERN PetscErrorCode MatMPIDenseSetPreallocation(Mat, PetscScalar[]);
1373: PETSC_EXTERN PetscErrorCode MatSeqDenseSetPreallocation(Mat, PetscScalar[]);
1374: PETSC_EXTERN PetscErrorCode MatMPIAIJGetSeqAIJ(Mat, Mat *, Mat *, const PetscInt *[]);
1375: PETSC_EXTERN PetscErrorCode MatMPIBAIJGetSeqBAIJ(Mat, Mat *, Mat *, const PetscInt *[]);
1376: PETSC_EXTERN PetscErrorCode MatMPIAdjCreateNonemptySubcommMat(Mat, Mat *);
1378: PETSC_EXTERN PetscErrorCode MatDenseGetLDA(Mat, PetscInt *);
1379: PETSC_EXTERN PetscErrorCode MatDenseSetLDA(Mat, PetscInt);
1380: PETSC_DEPRECATED_FUNCTION(3, 14, 0, "MatDenseSetLDA()", ) static inline PetscErrorCode MatSeqDenseSetLDA(Mat A, PetscInt lda)
1381: {
1382: return MatDenseSetLDA(A, lda);
1383: }
1384: PETSC_EXTERN PetscErrorCode MatDenseGetLocalMatrix(Mat, Mat *);
1386: PETSC_EXTERN PetscErrorCode MatBlockMatSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[]);
1388: PETSC_EXTERN PetscErrorCode MatStoreValues(Mat);
1389: PETSC_EXTERN PetscErrorCode MatRetrieveValues(Mat);
1391: PETSC_EXTERN PetscErrorCode MatFindNonzeroRows(Mat, IS *);
1392: PETSC_EXTERN PetscErrorCode MatFindZeroRows(Mat, IS *);
1393: /*
1394: These routines are not usually accessed directly, rather solving is
1395: done through the KSP and PC interfaces.
1396: */
1398: /*J
1399: MatOrderingType - String with the name of a PETSc matrix ordering. These orderings are most commonly used
1400: to reduce fill in sparse factorizations.
1402: Level: beginner
1404: Notes:
1405: If `MATORDERINGEXTERNAL` is used then PETSc does not compute an ordering and instead the external factorization solver package called utilizes one
1406: of its own.
1408: There is no `MatOrdering` object, the ordering is obtained directly from the matrix with `MatGetOrdering()`
1410: Developer Note:
1411: This API should be converted to an API similar to those for `MatColoring` and `MatPartitioning`
1413: .seealso: [](ch_matrices), [](sec_graph), `MatGetFactor()`, `MatGetOrdering()`, `MatColoringType`, `MatPartitioningType`, `MatCoarsenType`, `MatCoarsenType`,
1414: `PCFactorSetOrderingType()`
1415: J*/
1416: typedef const char *MatOrderingType;
1417: #define MATORDERINGNATURAL "natural"
1418: #define MATORDERINGND "nd"
1419: #define MATORDERING1WD "1wd"
1420: #define MATORDERINGRCM "rcm"
1421: #define MATORDERINGQMD "qmd"
1422: #define MATORDERINGROWLENGTH "rowlength"
1423: #define MATORDERINGWBM "wbm"
1424: #define MATORDERINGSPECTRAL "spectral"
1425: #define MATORDERINGAMD "amd" /* only works if UMFPACK is installed with PETSc */
1426: #define MATORDERINGMETISND "metisnd" /* only works if METIS is installed with PETSc */
1427: #define MATORDERINGNATURAL_OR_ND "natural_or_nd" /* special coase used for Cholesky and ICC, allows ND when AIJ matrix is used but Natural when SBAIJ is used */
1428: #define MATORDERINGEXTERNAL "external" /* uses an ordering type internal to the factorization package */
1430: PETSC_EXTERN PetscErrorCode MatGetOrdering(Mat, MatOrderingType, IS *, IS *);
1431: PETSC_EXTERN PetscErrorCode MatGetOrderingList(PetscFunctionList *);
1432: PETSC_EXTERN PetscErrorCode MatOrderingRegister(const char[], PetscErrorCode (*)(Mat, MatOrderingType, IS *, IS *));
1433: PETSC_EXTERN PetscFunctionList MatOrderingList;
1435: #include "petscmatcoarsen.h"
1437: PETSC_EXTERN PetscErrorCode MatReorderForNonzeroDiagonal(Mat, PetscReal, IS, IS);
1438: PETSC_EXTERN PetscErrorCode MatCreateLaplacian(Mat, PetscReal, PetscBool, Mat *);
1440: PETSC_EXTERN PetscErrorCode MatFactorGetPreferredOrdering(Mat, MatFactorType, MatOrderingType *);
1442: /*S
1443: MatFactorShiftType - Type of numeric shift used for factorizations
1445: Values:
1446: + `MAT_SHIFT_NONE` - do not shift the matrix diagonal entries
1447: . `MAT_SHIFT_NONZERO` - shift the entries to be non-zero
1448: . `MAT_SHIFT_POSITIVE_DEFINITE` - shift the entries to force the factorization to be positive definite
1449: - `MAT_SHIFT_INBLOCKS` - only shift the factors inside the small dense diagonal blocks of the matrix, for example with `MATBAIJ`
1451: Level: intermediate
1453: .seealso: [](ch_matrices), `Mat`, `MatGetFactor()`, `PCFactorSetShiftType()`
1454: S*/
1455: typedef enum {
1456: MAT_SHIFT_NONE,
1457: MAT_SHIFT_NONZERO,
1458: MAT_SHIFT_POSITIVE_DEFINITE,
1459: MAT_SHIFT_INBLOCKS
1460: } MatFactorShiftType;
1461: PETSC_EXTERN const char *const MatFactorShiftTypes[];
1462: PETSC_EXTERN const char *const MatFactorShiftTypesDetail[];
1464: /*S
1465: MatFactorError - indicates what type of error was generated in a matrix factorization
1467: Values:
1468: + `MAT_FACTOR_NOERROR` - there was no error during the factorization
1469: . `MAT_FACTOR_STRUCT_ZEROPIVOT` - there was a missing entry in a diagonal location of the matrix
1470: . `MAT_FACTOR_NUMERIC_ZEROPIVOT` - there was a (near) zero pivot during the factorization
1471: . `MAT_FACTOR_OUTMEMORY` - the factorization has run out of memory
1472: - `MAT_FACTOR_OTHER` - some other error has occurred.
1474: Level: intermediate
1476: Note:
1477: When a factorization is done in a preconditioner `PC` the error may be propagated up to a `PCFailedReason` or a `KSPConvergedReason`
1479: .seealso: [](ch_matrices), `Mat`, `MatGetFactor()`, `MatFactorGetError()`, `MatFactorGetErrorZeroPivot()`, `MatFactorClearError()`,
1480: `PCFailedReason`, `PCGetFailedReason()`, `KSPConvergedReason`
1481: S*/
1482: typedef enum {
1483: MAT_FACTOR_NOERROR,
1484: MAT_FACTOR_STRUCT_ZEROPIVOT,
1485: MAT_FACTOR_NUMERIC_ZEROPIVOT,
1486: MAT_FACTOR_OUTMEMORY,
1487: MAT_FACTOR_OTHER
1488: } MatFactorError;
1490: PETSC_EXTERN PetscErrorCode MatFactorGetError(Mat, MatFactorError *);
1491: PETSC_EXTERN PetscErrorCode MatFactorClearError(Mat);
1492: PETSC_EXTERN PetscErrorCode MatFactorGetErrorZeroPivot(Mat, PetscReal *, PetscInt *);
1494: /*S
1495: MatFactorInfo - Data passed into the matrix factorization routines, and information about the resulting factorization
1497: Level: developer
1499: Note:
1500: You can use `MatFactorInfoInitialize()` to set default values.
1502: Fortran Note:
1503: The data is available in a double precision arrays of size `MAT_FACTORINFO_SIZE`
1505: .seealso: [](ch_matrices), `Mat`, `MatInfo`, `MatGetFactor()`, `MatLUFactorSymbolic()`, `MatILUFactorSymbolic()`, `MatCholeskyFactorSymbolic()`,
1506: `MatICCFactorSymbolic()`, `MatICCFactor()`, `MatFactorInfoInitialize()`
1507: S*/
1508: typedef struct {
1509: PetscReal diagonal_fill; /* force diagonal to fill in if initially not filled */
1510: PetscReal usedt;
1511: PetscReal dt; /* drop tolerance */
1512: PetscReal dtcol; /* tolerance for pivoting */
1513: PetscReal dtcount; /* maximum nonzeros to be allowed per row */
1514: PetscReal fill; /* expected fill, nonzeros in factored matrix/nonzeros in original matrix */
1515: PetscReal levels; /* ICC/ILU(levels) */
1516: PetscReal pivotinblocks; /* for BAIJ and SBAIJ matrices pivot in factorization on blocks, default 1.0
1517: factorization may be faster if do not pivot */
1518: PetscReal zeropivot; /* pivot is called zero if less than this */
1519: PetscReal shifttype; /* type of shift added to matrix factor to prevent zero pivots */
1520: PetscReal shiftamount; /* how large the shift is */
1521: } MatFactorInfo;
1523: PETSC_EXTERN PetscErrorCode MatFactorInfoInitialize(MatFactorInfo *);
1524: PETSC_EXTERN PetscErrorCode MatCholeskyFactor(Mat, IS, const MatFactorInfo *);
1525: PETSC_EXTERN PetscErrorCode MatCholeskyFactorSymbolic(Mat, Mat, IS, const MatFactorInfo *);
1526: PETSC_EXTERN PetscErrorCode MatCholeskyFactorNumeric(Mat, Mat, const MatFactorInfo *);
1527: PETSC_EXTERN PetscErrorCode MatLUFactor(Mat, IS, IS, const MatFactorInfo *);
1528: PETSC_EXTERN PetscErrorCode MatILUFactor(Mat, IS, IS, const MatFactorInfo *);
1529: PETSC_EXTERN PetscErrorCode MatLUFactorSymbolic(Mat, Mat, IS, IS, const MatFactorInfo *);
1530: PETSC_EXTERN PetscErrorCode MatILUFactorSymbolic(Mat, Mat, IS, IS, const MatFactorInfo *);
1531: PETSC_EXTERN PetscErrorCode MatICCFactorSymbolic(Mat, Mat, IS, const MatFactorInfo *);
1532: PETSC_EXTERN PetscErrorCode MatICCFactor(Mat, IS, const MatFactorInfo *);
1533: PETSC_EXTERN PetscErrorCode MatLUFactorNumeric(Mat, Mat, const MatFactorInfo *);
1534: PETSC_EXTERN PetscErrorCode MatQRFactor(Mat, IS, const MatFactorInfo *);
1535: PETSC_EXTERN PetscErrorCode MatQRFactorSymbolic(Mat, Mat, IS, const MatFactorInfo *);
1536: PETSC_EXTERN PetscErrorCode MatQRFactorNumeric(Mat, Mat, const MatFactorInfo *);
1537: PETSC_EXTERN PetscErrorCode MatGetInertia(Mat, PetscInt *, PetscInt *, PetscInt *);
1538: PETSC_EXTERN PetscErrorCode MatSolve(Mat, Vec, Vec);
1539: PETSC_EXTERN PetscErrorCode MatForwardSolve(Mat, Vec, Vec);
1540: PETSC_EXTERN PetscErrorCode MatBackwardSolve(Mat, Vec, Vec);
1541: PETSC_EXTERN PetscErrorCode MatSolveAdd(Mat, Vec, Vec, Vec);
1542: PETSC_EXTERN PetscErrorCode MatSolveTranspose(Mat, Vec, Vec);
1543: PETSC_EXTERN PetscErrorCode MatSolveTransposeAdd(Mat, Vec, Vec, Vec);
1544: PETSC_EXTERN PetscErrorCode MatSolves(Mat, Vecs, Vecs);
1545: PETSC_EXTERN PetscErrorCode MatSetUnfactored(Mat);
1547: typedef enum {
1548: MAT_FACTOR_SCHUR_UNFACTORED,
1549: MAT_FACTOR_SCHUR_FACTORED,
1550: MAT_FACTOR_SCHUR_INVERTED
1551: } MatFactorSchurStatus;
1552: PETSC_EXTERN PetscErrorCode MatFactorSetSchurIS(Mat, IS);
1553: PETSC_EXTERN PetscErrorCode MatFactorGetSchurComplement(Mat, Mat *, MatFactorSchurStatus *);
1554: PETSC_EXTERN PetscErrorCode MatFactorRestoreSchurComplement(Mat, Mat *, MatFactorSchurStatus);
1555: PETSC_EXTERN PetscErrorCode MatFactorInvertSchurComplement(Mat);
1556: PETSC_EXTERN PetscErrorCode MatFactorCreateSchurComplement(Mat, Mat *, MatFactorSchurStatus *);
1557: PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplement(Mat, Vec, Vec);
1558: PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplementTranspose(Mat, Vec, Vec);
1559: PETSC_EXTERN PetscErrorCode MatFactorFactorizeSchurComplement(Mat);
1561: PETSC_EXTERN PetscErrorCode MatSeqDenseInvert(Mat);
1562: /*E
1563: MatSORType - What type of (S)SOR to perform
1565: Values:
1566: + `SOR_FORWARD_SWEEP` - do a sweep from the first row of the matrix to the last
1567: . `SOR_BACKWARD_SWEEP` - do a sweep from the last row to the first
1568: . `SOR_SYMMETRIC_SWEEP` - do a sweep from the first row to the last and then back to the first
1569: . `SOR_LOCAL_FORWARD_SWEEP` - each MPI process does its own forward sweep with no communication
1570: . `SOR_LOCAL_BACKWARD_SWEEP` - each MPI process does its own backward sweep with no communication
1571: . `SOR_LOCAL_SYMMETRIC_SWEEP` - each MPI process does its own symmetric sweep with no communication
1572: . `SOR_ZERO_INITIAL_GUESS` - indicates the initial solution is zero so the sweep can avoid unneeded computation
1573: . `SOR_EISENSTAT` - apply the Eisentat application of SOR, see `PCEISENSTAT`
1574: . `SOR_APPLY_UPPER` - multiply by the upper triangular portion of the matrix
1575: - `SOR_APPLY_LOWER` - multiply by the lower triangular portion of the matrix
1577: Level: beginner
1579: Note:
1580: These may be bitwise ORd together
1582: Developer Note:
1583: Since `MatSORType` may be bitwise ORd together, so do not change the numerical values below
1585: .seealso: [](ch_matrices), `MatSOR()`
1586: E*/
1587: typedef enum {
1588: SOR_FORWARD_SWEEP = 1,
1589: SOR_BACKWARD_SWEEP = 2,
1590: SOR_SYMMETRIC_SWEEP = 3,
1591: SOR_LOCAL_FORWARD_SWEEP = 4,
1592: SOR_LOCAL_BACKWARD_SWEEP = 8,
1593: SOR_LOCAL_SYMMETRIC_SWEEP = 12,
1594: SOR_ZERO_INITIAL_GUESS = 16,
1595: SOR_EISENSTAT = 32,
1596: SOR_APPLY_UPPER = 64,
1597: SOR_APPLY_LOWER = 128
1598: } MatSORType;
1599: PETSC_EXTERN PetscErrorCode MatSOR(Mat, Vec, PetscReal, MatSORType, PetscReal, PetscInt, PetscInt, Vec);
1601: /*S
1602: MatColoring - Object for managing the coloring of matrices.
1604: Level: beginner
1606: Notes:
1607: Coloring of matrices can be computed directly from the sparse matrix nonzero structure via the `MatColoring` object or from the mesh from which the
1608: matrix comes from via `DMCreateColoring()`. In general using the mesh produces a more optimal coloring (fewer colors).
1610: Once a coloring is available `MatFDColoringCreate()` creates an object that can be used to efficiently compute Jacobians using that coloring. This
1611: same object can also be used to efficiently convert data created by Automatic Differentiation tools to PETSc sparse matrices.
1613: .seealso: [](ch_matrices), [](sec_graph), `MatFDColoringCreate()`, `MatColoringWeightType`, `ISColoring`, `MatFDColoring`, `DMCreateColoring()`, `MatColoringCreate()`,
1614: `MatPartitioning`, `MatColoringType`, `MatPartitioningType`, `MatOrderingType`, `MatColoringSetWeightType()`,
1615: `MatColoringSetWeights()`, `MatCoarsenType`, `MatCoarsen`
1616: S*/
1617: typedef struct _p_MatColoring *MatColoring;
1619: /*J
1620: MatColoringType - String with the name of a PETSc matrix coloring
1622: Level: beginner
1624: .seealso: [](ch_matrices), [](sec_graph), `Mat`, `MatFDColoringCreate()`, `MatColoringSetType()`, `MatColoring`
1625: J*/
1626: typedef const char *MatColoringType;
1627: #define MATCOLORINGJP "jp"
1628: #define MATCOLORINGPOWER "power"
1629: #define MATCOLORINGNATURAL "natural"
1630: #define MATCOLORINGSL "sl"
1631: #define MATCOLORINGLF "lf"
1632: #define MATCOLORINGID "id"
1633: #define MATCOLORINGGREEDY "greedy"
1635: /*E
1636: MatColoringWeightType - Type of weight scheme used for the coloring algorithm
1638: Values:
1639: + `MAT_COLORING_RANDOM` - Random weights
1640: . `MAT_COLORING_LEXICAL` - Lexical weighting based upon global numbering.
1641: - `MAT_COLORING_LF` - Last-first weighting.
1643: Level: intermediate
1645: .seealso: [](ch_matrices), `MatColoring`, `MatColoringCreate()`, `MatColoringSetWeightType()`, `MatColoringSetWeights()`
1646: E*/
1647: typedef enum {
1648: MAT_COLORING_WEIGHT_RANDOM,
1649: MAT_COLORING_WEIGHT_LEXICAL,
1650: MAT_COLORING_WEIGHT_LF,
1651: MAT_COLORING_WEIGHT_SL
1652: } MatColoringWeightType;
1654: PETSC_EXTERN PetscErrorCode MatColoringCreate(Mat, MatColoring *);
1655: PETSC_EXTERN PetscErrorCode MatColoringGetDegrees(Mat, PetscInt, PetscInt *);
1656: PETSC_EXTERN PetscErrorCode MatColoringDestroy(MatColoring *);
1657: PETSC_EXTERN PetscErrorCode MatColoringView(MatColoring, PetscViewer);
1658: PETSC_EXTERN PetscErrorCode MatColoringSetType(MatColoring, MatColoringType);
1659: PETSC_EXTERN PetscErrorCode MatColoringSetFromOptions(MatColoring);
1660: PETSC_EXTERN PetscErrorCode MatColoringSetDistance(MatColoring, PetscInt);
1661: PETSC_EXTERN PetscErrorCode MatColoringGetDistance(MatColoring, PetscInt *);
1662: PETSC_EXTERN PetscErrorCode MatColoringSetMaxColors(MatColoring, PetscInt);
1663: PETSC_EXTERN PetscErrorCode MatColoringGetMaxColors(MatColoring, PetscInt *);
1664: PETSC_EXTERN PetscErrorCode MatColoringApply(MatColoring, ISColoring *);
1665: PETSC_EXTERN PetscErrorCode MatColoringRegister(const char[], PetscErrorCode (*)(MatColoring));
1666: PETSC_EXTERN PetscErrorCode MatColoringPatch(Mat, PetscInt, PetscInt, ISColoringValue[], ISColoring *);
1667: PETSC_EXTERN PetscErrorCode MatColoringSetWeightType(MatColoring, MatColoringWeightType);
1668: PETSC_EXTERN PetscErrorCode MatColoringSetWeights(MatColoring, PetscReal *, PetscInt *);
1669: PETSC_EXTERN PetscErrorCode MatColoringCreateWeights(MatColoring, PetscReal **, PetscInt **lperm);
1670: PETSC_EXTERN PetscErrorCode MatColoringTest(MatColoring, ISColoring);
1671: PETSC_DEPRECATED_FUNCTION(3, 10, 0, "MatColoringTest()", ) static inline PetscErrorCode MatColoringTestValid(MatColoring matcoloring, ISColoring iscoloring)
1672: {
1673: return MatColoringTest(matcoloring, iscoloring);
1674: }
1675: PETSC_EXTERN PetscErrorCode MatISColoringTest(Mat, ISColoring);
1677: /*S
1678: MatFDColoring - Object for computing a sparse Jacobian via finite differences with coloring
1680: Level: beginner
1682: Notes:
1683: This object is creating utilizing a coloring provided by the `MatColoring` object or `DMCreateColoring()`
1685: The `SNES` option `-snes_fd_coloring` will cause the Jacobian needed by `SNES` to be computed via a use of this object
1687: .seealso: [](ch_matrices), `Mat`, `MatFDColoringCreate()`, `MatFDColoringSetFunction()`, `MatColoring`, `DMCreateColoring()`
1688: S*/
1689: typedef struct _p_MatFDColoring *MatFDColoring;
1691: PETSC_EXTERN PetscErrorCode MatFDColoringCreate(Mat, ISColoring, MatFDColoring *);
1692: PETSC_EXTERN PetscErrorCode MatFDColoringDestroy(MatFDColoring *);
1693: PETSC_EXTERN PetscErrorCode MatFDColoringView(MatFDColoring, PetscViewer);
1694: PETSC_EXTERN PetscErrorCode MatFDColoringSetFunction(MatFDColoring, PetscErrorCode (*)(void), void *);
1695: PETSC_EXTERN PetscErrorCode MatFDColoringGetFunction(MatFDColoring, PetscErrorCode (**)(void), void **);
1696: PETSC_EXTERN PetscErrorCode MatFDColoringSetParameters(MatFDColoring, PetscReal, PetscReal);
1697: PETSC_EXTERN PetscErrorCode MatFDColoringSetFromOptions(MatFDColoring);
1698: PETSC_EXTERN PetscErrorCode MatFDColoringApply(Mat, MatFDColoring, Vec, void *);
1699: PETSC_EXTERN PetscErrorCode MatFDColoringSetF(MatFDColoring, Vec);
1700: PETSC_EXTERN PetscErrorCode MatFDColoringGetPerturbedColumns(MatFDColoring, PetscInt *, const PetscInt *[]);
1701: PETSC_EXTERN PetscErrorCode MatFDColoringSetUp(Mat, ISColoring, MatFDColoring);
1702: PETSC_EXTERN PetscErrorCode MatFDColoringSetBlockSize(MatFDColoring, PetscInt, PetscInt);
1703: PETSC_EXTERN PetscErrorCode MatFDColoringSetValues(Mat, MatFDColoring, const PetscScalar *);
1705: /*S
1706: MatTransposeColoring - Object for computing a sparse matrix product $C = A*B^T$ via coloring
1708: Level: developer
1710: .seealso: [](ch_matrices), `Mat`, `MatProductType`, `MatTransposeColoringCreate()`
1711: S*/
1712: typedef struct _p_MatTransposeColoring *MatTransposeColoring;
1714: PETSC_EXTERN PetscErrorCode MatTransposeColoringCreate(Mat, ISColoring, MatTransposeColoring *);
1715: PETSC_EXTERN PetscErrorCode MatTransColoringApplySpToDen(MatTransposeColoring, Mat, Mat);
1716: PETSC_EXTERN PetscErrorCode MatTransColoringApplyDenToSp(MatTransposeColoring, Mat, Mat);
1717: PETSC_EXTERN PetscErrorCode MatTransposeColoringDestroy(MatTransposeColoring *);
1719: /*S
1720: MatPartitioning - Object for managing the partitioning of a matrix or graph
1722: Level: beginner
1724: Note:
1725: There is also a `PetscPartitioner` object that provides the same functionality. It can utilize the `MatPartitioning` operations
1726: via `PetscPartitionerSetType`(p,`PETSCPARTITIONERMATPARTITIONING`)
1728: Developer Note:
1729: It is an extra maintenance and documentation cost to have two objects with the same functionality. `PetscPartitioner` should be removed
1731: .seealso: [](ch_matrices), [](sec_graph), `Mat`, `MatPartitioningCreate()`, `MatPartitioningType`, `MatColoring`, `MatGetOrdering()`, `MatOrderingType`,
1732: `MatCoarsenType`, `MatCoarsenType`
1733: S*/
1734: typedef struct _p_MatPartitioning *MatPartitioning;
1736: /*J
1737: MatPartitioningType - String with the name of a PETSc matrix partitioning
1739: Level: beginner
1740: dm
1741: .seealso: [](ch_matrices), [](sec_graph), `Mat`, `MatPartitioningCreate()`, `MatPartitioning`, `MatPartitioningSetType()`, `MatColoringType`, `MatOrderingType`,
1742: `MatCoarsenType`, `MatCoarsenType`
1743: J*/
1744: typedef const char *MatPartitioningType;
1745: #define MATPARTITIONINGCURRENT "current"
1746: #define MATPARTITIONINGAVERAGE "average"
1747: #define MATPARTITIONINGSQUARE "square"
1748: #define MATPARTITIONINGPARMETIS "parmetis"
1749: #define MATPARTITIONINGCHACO "chaco"
1750: #define MATPARTITIONINGPARTY "party"
1751: #define MATPARTITIONINGPTSCOTCH "ptscotch"
1752: #define MATPARTITIONINGHIERARCH "hierarch"
1754: PETSC_EXTERN PetscErrorCode MatPartitioningCreate(MPI_Comm, MatPartitioning *);
1755: PETSC_EXTERN PetscErrorCode MatPartitioningSetType(MatPartitioning, MatPartitioningType);
1756: PETSC_EXTERN PetscErrorCode MatPartitioningSetNParts(MatPartitioning, PetscInt);
1757: PETSC_EXTERN PetscErrorCode MatPartitioningSetAdjacency(MatPartitioning, Mat);
1758: PETSC_EXTERN PetscErrorCode MatPartitioningSetNumberVertexWeights(MatPartitioning, PetscInt);
1759: PETSC_EXTERN PetscErrorCode MatPartitioningSetVertexWeights(MatPartitioning, const PetscInt[]);
1760: PETSC_EXTERN PetscErrorCode MatPartitioningSetPartitionWeights(MatPartitioning, const PetscReal[]);
1761: PETSC_EXTERN PetscErrorCode MatPartitioningSetUseEdgeWeights(MatPartitioning, PetscBool);
1762: PETSC_EXTERN PetscErrorCode MatPartitioningGetUseEdgeWeights(MatPartitioning, PetscBool *);
1763: PETSC_EXTERN PetscErrorCode MatPartitioningApply(MatPartitioning, IS *);
1764: PETSC_EXTERN PetscErrorCode MatPartitioningImprove(MatPartitioning, IS *);
1765: PETSC_EXTERN PetscErrorCode MatPartitioningViewImbalance(MatPartitioning, IS);
1766: PETSC_EXTERN PetscErrorCode MatPartitioningApplyND(MatPartitioning, IS *);
1767: PETSC_EXTERN PetscErrorCode MatPartitioningDestroy(MatPartitioning *);
1768: PETSC_EXTERN PetscErrorCode MatPartitioningRegister(const char[], PetscErrorCode (*)(MatPartitioning));
1769: PETSC_EXTERN PetscErrorCode MatPartitioningView(MatPartitioning, PetscViewer);
1770: PETSC_EXTERN PetscErrorCode MatPartitioningViewFromOptions(MatPartitioning, PetscObject, const char[]);
1771: PETSC_EXTERN PetscErrorCode MatPartitioningSetFromOptions(MatPartitioning);
1772: PETSC_EXTERN PetscErrorCode MatPartitioningGetType(MatPartitioning, MatPartitioningType *);
1774: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetRepartition(MatPartitioning part);
1775: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetCoarseSequential(MatPartitioning);
1776: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisGetEdgeCut(MatPartitioning, PetscInt *);
1778: typedef enum {
1779: MP_CHACO_MULTILEVEL = 1,
1780: MP_CHACO_SPECTRAL = 2,
1781: MP_CHACO_LINEAR = 4,
1782: MP_CHACO_RANDOM = 5,
1783: MP_CHACO_SCATTERED = 6
1784: } MPChacoGlobalType;
1785: PETSC_EXTERN const char *const MPChacoGlobalTypes[];
1786: typedef enum {
1787: MP_CHACO_KERNIGHAN = 1,
1788: MP_CHACO_NONE = 2
1789: } MPChacoLocalType;
1790: PETSC_EXTERN const char *const MPChacoLocalTypes[];
1791: typedef enum {
1792: MP_CHACO_LANCZOS = 0,
1793: MP_CHACO_RQI = 1
1794: } MPChacoEigenType;
1795: PETSC_EXTERN const char *const MPChacoEigenTypes[];
1797: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetGlobal(MatPartitioning, MPChacoGlobalType);
1798: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetGlobal(MatPartitioning, MPChacoGlobalType *);
1799: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetLocal(MatPartitioning, MPChacoLocalType);
1800: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetLocal(MatPartitioning, MPChacoLocalType *);
1801: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetCoarseLevel(MatPartitioning, PetscReal);
1802: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenSolver(MatPartitioning, MPChacoEigenType);
1803: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenSolver(MatPartitioning, MPChacoEigenType *);
1804: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenTol(MatPartitioning, PetscReal);
1805: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenTol(MatPartitioning, PetscReal *);
1806: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenNumber(MatPartitioning, PetscInt);
1807: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenNumber(MatPartitioning, PetscInt *);
1809: #define MP_PARTY_OPT "opt"
1810: #define MP_PARTY_LIN "lin"
1811: #define MP_PARTY_SCA "sca"
1812: #define MP_PARTY_RAN "ran"
1813: #define MP_PARTY_GBF "gbf"
1814: #define MP_PARTY_GCF "gcf"
1815: #define MP_PARTY_BUB "bub"
1816: #define MP_PARTY_DEF "def"
1817: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetGlobal(MatPartitioning, const char *);
1818: #define MP_PARTY_HELPFUL_SETS "hs"
1819: #define MP_PARTY_KERNIGHAN_LIN "kl"
1820: #define MP_PARTY_NONE "no"
1821: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetLocal(MatPartitioning, const char *);
1822: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetCoarseLevel(MatPartitioning, PetscReal);
1823: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetBipart(MatPartitioning, PetscBool);
1824: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetMatchOptimization(MatPartitioning, PetscBool);
1826: typedef enum {
1827: MP_PTSCOTCH_DEFAULT,
1828: MP_PTSCOTCH_QUALITY,
1829: MP_PTSCOTCH_SPEED,
1830: MP_PTSCOTCH_BALANCE,
1831: MP_PTSCOTCH_SAFETY,
1832: MP_PTSCOTCH_SCALABILITY
1833: } MPPTScotchStrategyType;
1834: PETSC_EXTERN const char *const MPPTScotchStrategyTypes[];
1836: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetImbalance(MatPartitioning, PetscReal);
1837: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetImbalance(MatPartitioning, PetscReal *);
1838: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetStrategy(MatPartitioning, MPPTScotchStrategyType);
1839: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetStrategy(MatPartitioning, MPPTScotchStrategyType *);
1841: /*
1842: * hierarchical partitioning
1843: */
1844: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetFineparts(MatPartitioning, IS *);
1845: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetCoarseparts(MatPartitioning, IS *);
1846: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNcoarseparts(MatPartitioning, PetscInt);
1847: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNfineparts(MatPartitioning, PetscInt);
1849: PETSC_EXTERN PetscErrorCode MatMeshToCellGraph(Mat, PetscInt, Mat *);
1851: /*
1852: If you add entries here you must also add them to src/mat/f90-mod/petscmat.h
1853: If any of the enum values are changed, also update dMatOps dict at src/binding/petsc4py/src/libpetsc4py/libpetsc4py.pyx
1854: */
1855: typedef enum {
1856: MATOP_SET_VALUES = 0,
1857: MATOP_GET_ROW = 1,
1858: MATOP_RESTORE_ROW = 2,
1859: MATOP_MULT = 3,
1860: MATOP_MULT_ADD = 4,
1861: MATOP_MULT_TRANSPOSE = 5,
1862: MATOP_MULT_TRANSPOSE_ADD = 6,
1863: MATOP_SOLVE = 7,
1864: MATOP_SOLVE_ADD = 8,
1865: MATOP_SOLVE_TRANSPOSE = 9,
1866: MATOP_SOLVE_TRANSPOSE_ADD = 10,
1867: MATOP_LUFACTOR = 11,
1868: MATOP_CHOLESKYFACTOR = 12,
1869: MATOP_SOR = 13,
1870: MATOP_TRANSPOSE = 14,
1871: MATOP_GETINFO = 15,
1872: MATOP_EQUAL = 16,
1873: MATOP_GET_DIAGONAL = 17,
1874: MATOP_DIAGONAL_SCALE = 18,
1875: MATOP_NORM = 19,
1876: MATOP_ASSEMBLY_BEGIN = 20,
1877: MATOP_ASSEMBLY_END = 21,
1878: MATOP_SET_OPTION = 22,
1879: MATOP_ZERO_ENTRIES = 23,
1880: MATOP_ZERO_ROWS = 24,
1881: MATOP_LUFACTOR_SYMBOLIC = 25,
1882: MATOP_LUFACTOR_NUMERIC = 26,
1883: MATOP_CHOLESKY_FACTOR_SYMBOLIC = 27,
1884: MATOP_CHOLESKY_FACTOR_NUMERIC = 28,
1885: MATOP_SETUP = 29,
1886: MATOP_ILUFACTOR_SYMBOLIC = 30,
1887: MATOP_ICCFACTOR_SYMBOLIC = 31,
1888: MATOP_GET_DIAGONAL_BLOCK = 32,
1889: MATOP_SET_INF = 33,
1890: MATOP_DUPLICATE = 34,
1891: MATOP_FORWARD_SOLVE = 35,
1892: MATOP_BACKWARD_SOLVE = 36,
1893: MATOP_ILUFACTOR = 37,
1894: MATOP_ICCFACTOR = 38,
1895: MATOP_AXPY = 39,
1896: MATOP_CREATE_SUBMATRICES = 40,
1897: MATOP_INCREASE_OVERLAP = 41,
1898: MATOP_GET_VALUES = 42,
1899: MATOP_COPY = 43,
1900: MATOP_GET_ROW_MAX = 44,
1901: MATOP_SCALE = 45,
1902: MATOP_SHIFT = 46,
1903: MATOP_DIAGONAL_SET = 47,
1904: MATOP_ZERO_ROWS_COLUMNS = 48,
1905: MATOP_SET_RANDOM = 49,
1906: MATOP_GET_ROW_IJ = 50,
1907: MATOP_RESTORE_ROW_IJ = 51,
1908: MATOP_GET_COLUMN_IJ = 52,
1909: MATOP_RESTORE_COLUMN_IJ = 53,
1910: MATOP_FDCOLORING_CREATE = 54,
1911: MATOP_COLORING_PATCH = 55,
1912: MATOP_SET_UNFACTORED = 56,
1913: MATOP_PERMUTE = 57,
1914: MATOP_SET_VALUES_BLOCKED = 58,
1915: MATOP_CREATE_SUBMATRIX = 59,
1916: MATOP_DESTROY = 60,
1917: MATOP_VIEW = 61,
1918: MATOP_CONVERT_FROM = 62,
1919: /* MATOP_PLACEHOLDER_63=63 */
1920: MATOP_MATMAT_MULT_SYMBOLIC = 64,
1921: MATOP_MATMAT_MULT_NUMERIC = 65,
1922: MATOP_SET_LOCAL_TO_GLOBAL_MAP = 66,
1923: MATOP_SET_VALUES_LOCAL = 67,
1924: MATOP_ZERO_ROWS_LOCAL = 68,
1925: MATOP_GET_ROW_MAX_ABS = 69,
1926: MATOP_GET_ROW_MIN_ABS = 70,
1927: MATOP_CONVERT = 71,
1928: MATOP_HAS_OPERATION = 72,
1929: /* MATOP_PLACEHOLDER_73=73, */
1930: MATOP_SET_VALUES_ADIFOR = 74,
1931: MATOP_FD_COLORING_APPLY = 75,
1932: MATOP_SET_FROM_OPTIONS = 76,
1933: /* MATOP_PLACEHOLDER_77=77, */
1934: /* MATOP_PLACEHOLDER_78=78, */
1935: MATOP_FIND_ZERO_DIAGONALS = 79,
1936: MATOP_MULT_MULTIPLE = 80,
1937: MATOP_SOLVE_MULTIPLE = 81,
1938: MATOP_GET_INERTIA = 82,
1939: MATOP_LOAD = 83,
1940: MATOP_IS_SYMMETRIC = 84,
1941: MATOP_IS_HERMITIAN = 85,
1942: MATOP_IS_STRUCTURALLY_SYMMETRIC = 86,
1943: MATOP_SET_VALUES_BLOCKEDLOCAL = 87,
1944: MATOP_CREATE_VECS = 88,
1945: /* MATOP_PLACEHOLDER_89=89, */
1946: MATOP_MAT_MULT_SYMBOLIC = 90,
1947: MATOP_MAT_MULT_NUMERIC = 91,
1948: /* MATOP_PLACEHOLDER_92=92, */
1949: MATOP_PTAP_SYMBOLIC = 93,
1950: MATOP_PTAP_NUMERIC = 94,
1951: /* MATOP_PLACEHOLDER_95=95, */
1952: MATOP_MAT_TRANSPOSE_MULT_SYMBO = 96,
1953: MATOP_MAT_TRANSPOSE_MULT_NUMER = 97,
1954: MATOP_BIND_TO_CPU = 98,
1955: MATOP_PRODUCTSETFROMOPTIONS = 99,
1956: MATOP_PRODUCTSYMBOLIC = 100,
1957: MATOP_PRODUCTNUMERIC = 101,
1958: MATOP_CONJUGATE = 102,
1959: MATOP_VIEW_NATIVE = 103,
1960: MATOP_SET_VALUES_ROW = 104,
1961: MATOP_REAL_PART = 105,
1962: MATOP_IMAGINARY_PART = 106,
1963: MATOP_GET_ROW_UPPER_TRIANGULAR = 107,
1964: MATOP_RESTORE_ROW_UPPER_TRIANG = 108,
1965: MATOP_MAT_SOLVE = 109,
1966: MATOP_MAT_SOLVE_TRANSPOSE = 110,
1967: MATOP_GET_ROW_MIN = 111,
1968: MATOP_GET_COLUMN_VECTOR = 112,
1969: MATOP_MISSING_DIAGONAL = 113,
1970: MATOP_GET_SEQ_NONZERO_STRUCTUR = 114,
1971: MATOP_CREATE = 115,
1972: MATOP_GET_GHOSTS = 116,
1973: MATOP_GET_LOCAL_SUB_MATRIX = 117,
1974: MATOP_RESTORE_LOCALSUB_MATRIX = 118,
1975: MATOP_MULT_DIAGONAL_BLOCK = 119,
1976: MATOP_HERMITIAN_TRANSPOSE = 120,
1977: MATOP_MULT_HERMITIAN_TRANSPOSE = 121,
1978: MATOP_MULT_HERMITIAN_TRANS_ADD = 122,
1979: MATOP_GET_MULTI_PROC_BLOCK = 123,
1980: MATOP_FIND_NONZERO_ROWS = 124,
1981: MATOP_GET_COLUMN_NORMS = 125,
1982: MATOP_INVERT_BLOCK_DIAGONAL = 126,
1983: MATOP_INVERT_VBLOCK_DIAGONAL = 127,
1984: MATOP_CREATE_SUB_MATRICES_MPI = 128,
1985: MATOP_SET_VALUES_BATCH = 129,
1986: /* MATOP_PLACEHOLDER_130=130, */
1987: MATOP_TRANSPOSE_MAT_MULT_SYMBO = 131,
1988: MATOP_TRANSPOSE_MAT_MULT_NUMER = 132,
1989: MATOP_TRANSPOSE_COLORING_CREAT = 133,
1990: MATOP_TRANS_COLORING_APPLY_SPT = 134,
1991: MATOP_TRANS_COLORING_APPLY_DEN = 135,
1992: /* MATOP_PLACEHOLDER_136=136, */
1993: MATOP_RART_SYMBOLIC = 137,
1994: MATOP_RART_NUMERIC = 138,
1995: MATOP_SET_BLOCK_SIZES = 139,
1996: MATOP_AYPX = 140,
1997: MATOP_RESIDUAL = 141,
1998: MATOP_FDCOLORING_SETUP = 142,
1999: MATOP_FIND_OFFBLOCK_ENTRIES = 143,
2000: MATOP_MPICONCATENATESEQ = 144,
2001: MATOP_DESTROYSUBMATRICES = 145,
2002: MATOP_TRANSPOSE_SOLVE = 146,
2003: MATOP_GET_VALUES_LOCAL = 147
2004: } MatOperation;
2005: PETSC_EXTERN PetscErrorCode MatSetOperation(Mat, MatOperation, void (*)(void));
2006: PETSC_EXTERN PetscErrorCode MatGetOperation(Mat, MatOperation, void (**)(void));
2007: PETSC_EXTERN PetscErrorCode MatHasOperation(Mat, MatOperation, PetscBool *);
2008: PETSC_EXTERN PetscErrorCode MatHasCongruentLayouts(Mat, PetscBool *);
2009: PETSC_DEPRECATED_FUNCTION(3, 14, 0, "MatProductClear()", ) static inline PetscErrorCode MatFreeIntermediateDataStructures(Mat A)
2010: {
2011: return MatProductClear(A);
2012: }
2013: PETSC_EXTERN PetscErrorCode MatShellSetOperation(Mat, MatOperation, void (*)(void));
2014: PETSC_EXTERN PetscErrorCode MatShellGetOperation(Mat, MatOperation, void (**)(void));
2015: PETSC_EXTERN PetscErrorCode MatShellSetContext(Mat, void *);
2016: PETSC_EXTERN PetscErrorCode MatShellSetContextDestroy(Mat, PetscErrorCode (*)(void *));
2017: PETSC_EXTERN PetscErrorCode MatShellSetVecType(Mat, VecType);
2018: PETSC_EXTERN PetscErrorCode MatShellTestMult(Mat, PetscErrorCode (*)(void *, Vec, Vec), Vec, void *, PetscBool *);
2019: PETSC_EXTERN PetscErrorCode MatShellTestMultTranspose(Mat, PetscErrorCode (*)(void *, Vec, Vec), Vec, void *, PetscBool *);
2020: PETSC_EXTERN PetscErrorCode MatShellSetManageScalingShifts(Mat);
2021: PETSC_EXTERN PetscErrorCode MatShellSetMatProductOperation(Mat, MatProductType, PetscErrorCode (*)(Mat, Mat, Mat, void **), PetscErrorCode (*)(Mat, Mat, Mat, void *), PetscErrorCode (*)(void *), MatType, MatType);
2022: PETSC_EXTERN PetscErrorCode MatIsShell(Mat, PetscBool *);
2024: /*
2025: Codes for matrices stored on disk. By default they are
2026: stored in a universal format. By changing the format with
2027: PetscViewerPushFormat(viewer,PETSC_VIEWER_NATIVE); the matrices will
2028: be stored in a way natural for the matrix, for example dense matrices
2029: would be stored as dense. Matrices stored this way may only be
2030: read into matrices of the same type.
2031: */
2032: #define MATRIX_BINARY_FORMAT_DENSE -1
2034: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetHashTableFactor(Mat, PetscReal);
2036: PETSC_EXTERN PetscErrorCode MatISSetLocalMatType(Mat, MatType);
2037: PETSC_EXTERN PetscErrorCode MatISSetPreallocation(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
2038: PETSC_EXTERN PetscErrorCode MatISStoreL2L(Mat, PetscBool);
2039: PETSC_EXTERN PetscErrorCode MatISFixLocalEmpty(Mat, PetscBool);
2040: PETSC_EXTERN PetscErrorCode MatISGetLocalMat(Mat, Mat *);
2041: PETSC_EXTERN PetscErrorCode MatISRestoreLocalMat(Mat, Mat *);
2042: PETSC_EXTERN PetscErrorCode MatISSetLocalMat(Mat, Mat);
2043: PETSC_EXTERN PetscErrorCode MatISGetLocalToGlobalMapping(Mat, ISLocalToGlobalMapping *, ISLocalToGlobalMapping *);
2044: PETSC_EXTERN PETSC_DEPRECATED_FUNCTION(3, 10, 0, "MatConvert()", ) PetscErrorCode MatISGetMPIXAIJ(Mat, MatReuse, Mat *);
2046: /*S
2047: MatNullSpace - Object that removes a null space from a vector, i.e.
2048: orthogonalizes the vector to a subspace
2050: Level: advanced
2052: .seealso: [](ch_matrices), `Mat`, `MatNullSpaceCreate()`, `MatNullSpaceSetFunction()`, `MatGetNullSpace()`, `MatSetNullSpace()`
2053: S*/
2054: typedef struct _p_MatNullSpace *MatNullSpace;
2056: PETSC_EXTERN PetscErrorCode MatNullSpaceCreate(MPI_Comm, PetscBool, PetscInt, const Vec[], MatNullSpace *);
2057: PETSC_EXTERN PetscErrorCode MatNullSpaceSetFunction(MatNullSpace, PetscErrorCode (*)(MatNullSpace, Vec, void *), void *);
2058: PETSC_EXTERN PetscErrorCode MatNullSpaceDestroy(MatNullSpace *);
2059: PETSC_EXTERN PetscErrorCode MatNullSpaceRemove(MatNullSpace, Vec);
2060: PETSC_EXTERN PetscErrorCode MatGetNullSpace(Mat, MatNullSpace *);
2061: PETSC_EXTERN PetscErrorCode MatGetTransposeNullSpace(Mat, MatNullSpace *);
2062: PETSC_EXTERN PetscErrorCode MatSetTransposeNullSpace(Mat, MatNullSpace);
2063: PETSC_EXTERN PetscErrorCode MatSetNullSpace(Mat, MatNullSpace);
2064: PETSC_EXTERN PetscErrorCode MatSetNearNullSpace(Mat, MatNullSpace);
2065: PETSC_EXTERN PetscErrorCode MatGetNearNullSpace(Mat, MatNullSpace *);
2066: PETSC_EXTERN PetscErrorCode MatNullSpaceTest(MatNullSpace, Mat, PetscBool *);
2067: PETSC_EXTERN PetscErrorCode MatNullSpaceView(MatNullSpace, PetscViewer);
2068: PETSC_EXTERN PetscErrorCode MatNullSpaceGetVecs(MatNullSpace, PetscBool *, PetscInt *, const Vec **);
2069: PETSC_EXTERN PetscErrorCode MatNullSpaceCreateRigidBody(Vec, MatNullSpace *);
2071: PETSC_EXTERN PetscErrorCode MatReorderingSeqSBAIJ(Mat, IS);
2072: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetHashTableFactor(Mat, PetscReal);
2073: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetColumnIndices(Mat, PetscInt *);
2075: PETSC_EXTERN PetscErrorCode MatCreateMAIJ(Mat, PetscInt, Mat *);
2076: PETSC_EXTERN PetscErrorCode MatMAIJRedimension(Mat, PetscInt, Mat *);
2077: PETSC_EXTERN PetscErrorCode MatMAIJGetAIJ(Mat, Mat *);
2079: PETSC_EXTERN PetscErrorCode MatComputeOperator(Mat, MatType, Mat *);
2080: PETSC_EXTERN PetscErrorCode MatComputeOperatorTranspose(Mat, MatType, Mat *);
2082: PETSC_DEPRECATED_FUNCTION(3, 12, 0, "MatComputeOperator()", ) static inline PetscErrorCode MatComputeExplicitOperator(Mat A, Mat *B)
2083: {
2084: return MatComputeOperator(A, PETSC_NULLPTR, B);
2085: }
2086: PETSC_DEPRECATED_FUNCTION(3, 12, 0, "MatComputeOperatorTranspose()", ) static inline PetscErrorCode MatComputeExplicitOperatorTranspose(Mat A, Mat *B)
2087: {
2088: return MatComputeOperatorTranspose(A, PETSC_NULLPTR, B);
2089: }
2091: PETSC_EXTERN PetscErrorCode MatCreateKAIJ(Mat, PetscInt, PetscInt, const PetscScalar[], const PetscScalar[], Mat *);
2092: PETSC_EXTERN PetscErrorCode MatKAIJGetAIJ(Mat, Mat *);
2093: PETSC_EXTERN PetscErrorCode MatKAIJGetS(Mat, PetscInt *, PetscInt *, PetscScalar **);
2094: PETSC_EXTERN PetscErrorCode MatKAIJGetSRead(Mat, PetscInt *, PetscInt *, const PetscScalar **);
2095: PETSC_EXTERN PetscErrorCode MatKAIJRestoreS(Mat, PetscScalar **);
2096: PETSC_EXTERN PetscErrorCode MatKAIJRestoreSRead(Mat, const PetscScalar **);
2097: PETSC_EXTERN PetscErrorCode MatKAIJGetT(Mat, PetscInt *, PetscInt *, PetscScalar **);
2098: PETSC_EXTERN PetscErrorCode MatKAIJGetTRead(Mat, PetscInt *, PetscInt *, const PetscScalar **);
2099: PETSC_EXTERN PetscErrorCode MatKAIJRestoreT(Mat, PetscScalar **);
2100: PETSC_EXTERN PetscErrorCode MatKAIJRestoreTRead(Mat, const PetscScalar **);
2101: PETSC_EXTERN PetscErrorCode MatKAIJSetAIJ(Mat, Mat);
2102: PETSC_EXTERN PetscErrorCode MatKAIJSetS(Mat, PetscInt, PetscInt, const PetscScalar[]);
2103: PETSC_EXTERN PetscErrorCode MatKAIJSetT(Mat, PetscInt, PetscInt, const PetscScalar[]);
2104: PETSC_EXTERN PetscErrorCode MatKAIJGetScaledIdentity(Mat, PetscBool *);
2106: PETSC_EXTERN PetscErrorCode MatDiagonalScaleLocal(Mat, Vec);
2108: PETSC_EXTERN PetscErrorCode MatMFFDInitializePackage(void);
2109: PETSC_EXTERN PetscErrorCode MatMFFDFinalizePackage(void);
2111: PETSC_EXTERN PetscErrorCode MatCreateMFFD(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, Mat *);
2112: PETSC_EXTERN PetscErrorCode MatMFFDSetBase(Mat, Vec, Vec);
2113: PETSC_EXTERN PetscErrorCode MatMFFDSetFunction(Mat, PetscErrorCode (*)(void *, Vec, Vec), void *);
2114: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioni(Mat, PetscErrorCode (*)(void *, PetscInt, Vec, PetscScalar *));
2115: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioniBase(Mat, PetscErrorCode (*)(void *, Vec));
2116: PETSC_EXTERN PetscErrorCode MatMFFDSetHHistory(Mat, PetscScalar[], PetscInt);
2117: PETSC_EXTERN PetscErrorCode MatMFFDResetHHistory(Mat);
2118: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctionError(Mat, PetscReal);
2119: PETSC_EXTERN PetscErrorCode MatMFFDSetPeriod(Mat, PetscInt);
2120: PETSC_EXTERN PetscErrorCode MatMFFDGetH(Mat, PetscScalar *);
2121: PETSC_EXTERN PetscErrorCode MatMFFDSetOptionsPrefix(Mat, const char[]);
2122: PETSC_EXTERN PetscErrorCode MatMFFDCheckPositivity(void *, Vec, Vec, PetscScalar *);
2123: PETSC_EXTERN PetscErrorCode MatMFFDSetCheckh(Mat, PetscErrorCode (*)(void *, Vec, Vec, PetscScalar *), void *);
2125: /*S
2126: MatMFFD - A data structured used to manage the computation of the h differencing parameter for matrix-free
2127: Jacobian vector products
2129: Level: developer
2131: Notes:
2132: `MATMFFD` is a specific `MatType` which uses the `MatMFFD` data structure
2134: MatMFFD*() methods actually take the `Mat` as their first argument. Not a `MatMFFD` data structure
2136: This functionality is often obtained using `MatCreateSNESMF()` or with `SNES` solvers using `-snes_mf` or `-snes_mf_operator`
2138: .seealso: [](ch_matrices), `MatMFFDType`, `MATMFFD`, `MatCreateMFFD()`, `MatMFFDSetFuction()`, `MatMFFDSetType()`, `MatMFFDRegister()`,
2139: `MatCreateSNESMF()`, `SNES`, `-snes_mf`, `-snes_mf_operator`
2140: S*/
2141: typedef struct _p_MatMFFD *MatMFFD;
2143: /*J
2144: MatMFFDType - algorithm used to compute the `h` used in computing matrix-vector products via differencing of a function
2146: Values:
2147: + `MATMFFD_DS` - an algorithm described by Dennis and Schnabel {cite}`dennis:83`
2148: - `MATMFFD_WP` - the Walker-Pernice {cite}`pw98` strategy.
2150: Level: beginner
2152: .seealso: [](ch_matrices), `MatMFFDSetType()`, `MatMFFDRegister()`, `MatMFFDSetFunction()`, `MatCreateMFFD()`
2153: J*/
2154: typedef const char *MatMFFDType;
2155: #define MATMFFD_DS "ds"
2156: #define MATMFFD_WP "wp"
2158: PETSC_EXTERN PetscErrorCode MatMFFDSetType(Mat, MatMFFDType);
2159: PETSC_EXTERN PetscErrorCode MatMFFDRegister(const char[], PetscErrorCode (*)(MatMFFD));
2161: PETSC_EXTERN PetscErrorCode MatMFFDDSSetUmin(Mat, PetscReal);
2162: PETSC_EXTERN PetscErrorCode MatMFFDWPSetComputeNormU(Mat, PetscBool);
2164: PETSC_EXTERN PetscErrorCode MatFDColoringSetType(MatFDColoring, MatMFFDType);
2166: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutMatrix(PetscViewer, PetscInt, PetscInt, PetscReal *);
2167: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutCSRMatrix(PetscViewer, PetscInt, PetscInt, PetscInt *, PetscInt *, PetscReal *);
2169: #ifdef PETSC_HAVE_H2OPUS
2170: PETSC_EXTERN_TYPEDEF typedef PetscScalar (*MatH2OpusKernel)(PetscInt, PetscReal[], PetscReal[], void *);
2171: PETSC_EXTERN PetscErrorCode MatCreateH2OpusFromKernel(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscReal[], PetscBool, MatH2OpusKernel, void *, PetscReal, PetscInt, PetscInt, Mat *);
2172: PETSC_EXTERN PetscErrorCode MatCreateH2OpusFromMat(Mat, PetscInt, const PetscReal[], PetscBool, PetscReal, PetscInt, PetscInt, PetscInt, PetscReal, Mat *);
2173: PETSC_EXTERN PetscErrorCode MatH2OpusSetSamplingMat(Mat, Mat, PetscInt, PetscReal);
2174: PETSC_EXTERN PetscErrorCode MatH2OpusOrthogonalize(Mat);
2175: PETSC_EXTERN PetscErrorCode MatH2OpusCompress(Mat, PetscReal);
2176: PETSC_EXTERN PetscErrorCode MatH2OpusSetNativeMult(Mat, PetscBool);
2177: PETSC_EXTERN PetscErrorCode MatH2OpusGetNativeMult(Mat, PetscBool *);
2178: PETSC_EXTERN PetscErrorCode MatH2OpusGetIndexMap(Mat, IS *);
2179: PETSC_EXTERN PetscErrorCode MatH2OpusMapVec(Mat, PetscBool, Vec, Vec *);
2180: PETSC_EXTERN PetscErrorCode MatH2OpusLowRankUpdate(Mat, Mat, Mat, PetscScalar);
2181: #endif
2183: #ifdef PETSC_HAVE_HTOOL
2184: PETSC_EXTERN_TYPEDEF typedef PetscErrorCode (*MatHtoolKernel)(PetscInt, PetscInt, PetscInt, const PetscInt *, const PetscInt *, PetscScalar *, void *);
2185: PETSC_EXTERN PetscErrorCode MatCreateHtoolFromKernel(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscReal[], const PetscReal[], MatHtoolKernel, void *, Mat *);
2186: PETSC_EXTERN PetscErrorCode MatHtoolSetKernel(Mat, MatHtoolKernel, void *);
2187: PETSC_EXTERN PetscErrorCode MatHtoolGetPermutationSource(Mat, IS *);
2188: PETSC_EXTERN PetscErrorCode MatHtoolGetPermutationTarget(Mat, IS *);
2189: PETSC_EXTERN PetscErrorCode MatHtoolUsePermutation(Mat, PetscBool);
2191: /*E
2192: MatHtoolCompressorType - Indicates the type of compressor used by a `MATHTOOL`
2194: Values:
2195: + `MAT_HTOOL_COMPRESSOR_SYMPARTIAL_ACA` (default) - symmetric partial adaptive cross approximation
2196: . `MAT_HTOOL_COMPRESSOR_FULL_ACA` - full adaptive cross approximation
2197: - `MAT_HTOOL_COMPRESSOR_SVD` - singular value decomposition
2199: Level: intermediate
2201: .seealso: [](ch_matrices), `Mat`, `MatCreateHtoolFromKernel()`, `MATHTOOL`, `MatHtoolClusteringType`
2202: E*/
2203: typedef enum {
2204: MAT_HTOOL_COMPRESSOR_SYMPARTIAL_ACA,
2205: MAT_HTOOL_COMPRESSOR_FULL_ACA,
2206: MAT_HTOOL_COMPRESSOR_SVD
2207: } MatHtoolCompressorType;
2209: /*E
2210: MatHtoolClusteringType - Indicates the type of clustering used by a `MATHTOOL`
2212: Values:
2213: + `MAT_HTOOL_CLUSTERING_PCA_REGULAR` (default) - axis computed via principle component analysis, split uniformly
2214: . `MAT_HTOOL_CLUSTERING_PCA_GEOMETRIC` - axis computed via principle component analysis, split barycentrically
2215: . `MAT_HTOOL_CLUSTERING_BOUNDING_BOX_1_REGULAR` - axis along the largest extent of the bounding box, split uniformly
2216: - `MAT_HTOOL_CLUSTERING_BOUNDING_BOX_1_GEOMETRIC` - axis along the largest extent of the bounding box, split barycentrically
2218: Level: intermediate
2220: Note:
2221: Higher-dimensional clustering is not yet supported in Htool, but once it is, one should add BOUNDING_BOX_{2,3} types
2223: .seealso: [](ch_matrices), `Mat`, `MatCreateHtoolFromKernel()`, `MATHTOOL`, `MatHtoolCompressorType`
2224: E*/
2225: typedef enum {
2226: MAT_HTOOL_CLUSTERING_PCA_REGULAR,
2227: MAT_HTOOL_CLUSTERING_PCA_GEOMETRIC,
2228: MAT_HTOOL_CLUSTERING_BOUNDING_BOX_1_REGULAR,
2229: MAT_HTOOL_CLUSTERING_BOUNDING_BOX_1_GEOMETRIC
2230: } MatHtoolClusteringType;
2231: #endif
2233: #ifdef PETSC_HAVE_MUMPS
2234: PETSC_EXTERN PetscErrorCode MatMumpsSetIcntl(Mat, PetscInt, PetscInt);
2235: PETSC_EXTERN PetscErrorCode MatMumpsGetIcntl(Mat, PetscInt, PetscInt *);
2236: PETSC_EXTERN PetscErrorCode MatMumpsSetCntl(Mat, PetscInt, PetscReal);
2237: PETSC_EXTERN PetscErrorCode MatMumpsGetCntl(Mat, PetscInt, PetscReal *);
2239: PETSC_EXTERN PetscErrorCode MatMumpsGetInfo(Mat, PetscInt, PetscInt *);
2240: PETSC_EXTERN PetscErrorCode MatMumpsGetInfog(Mat, PetscInt, PetscInt *);
2241: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfo(Mat, PetscInt, PetscReal *);
2242: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfog(Mat, PetscInt, PetscReal *);
2243: PETSC_EXTERN PetscErrorCode MatMumpsGetNullPivots(Mat, PetscInt *, PetscInt **);
2244: PETSC_EXTERN PetscErrorCode MatMumpsGetInverse(Mat, Mat);
2245: PETSC_EXTERN PetscErrorCode MatMumpsGetInverseTranspose(Mat, Mat);
2246: #endif
2248: #ifdef PETSC_HAVE_MKL_PARDISO
2249: PETSC_EXTERN PetscErrorCode MatMkl_PardisoSetCntl(Mat, PetscInt, PetscInt);
2250: #endif
2252: #ifdef PETSC_HAVE_MKL_CPARDISO
2253: PETSC_EXTERN PetscErrorCode MatMkl_CPardisoSetCntl(Mat, PetscInt, PetscInt);
2254: #endif
2256: #ifdef PETSC_HAVE_SUPERLU
2257: PETSC_EXTERN PetscErrorCode MatSuperluSetILUDropTol(Mat, PetscReal);
2258: #endif
2260: #ifdef PETSC_HAVE_SUPERLU_DIST
2261: PETSC_EXTERN PetscErrorCode MatSuperluDistGetDiagU(Mat, PetscScalar *);
2262: #endif
2264: #ifdef PETSC_HAVE_STRUMPACK
2265: /*E
2266: MatSTRUMPACKReordering - sparsity reducing ordering to be used in `MATSOLVERSTRUMPACK`
2268: Values:
2269: + `MAT_STRUMPACK_NATURAL` - use the current ordering
2270: . `MAT_STRUMPACK_METIS` - use MeTis to compute an ordering
2271: . `MAT_STRUMPACK_PARMETIS` - use ParMeTis to compute an ordering
2272: . `MAT_STRUMPACK_SCOTCH` - use Scotch to compute an ordering
2273: . `MAT_STRUMPACK_PTSCOTCH` - use parallel Scotch to compute an ordering
2274: . `MAT_STRUMPACK_RCM` - use an RCM ordering
2275: . `MAT_STRUMPACK_GEOMETRIC` - use a geometric ordering (needs mesh info from user)
2276: . `MAT_STRUMPACK_AMD` - approximate minimum degree
2277: . `MAT_STRUMPACK_MMD` - multiple minimum degree
2278: . `MAT_STRUMPACK_AND` - approximate nested dissection
2279: . `MAT_STRUMPACK_MLF` - minimum local fill
2280: - `MAT_STRUMPACK_SPECTRAL` - spectral nested dissection
2282: Level: intermediate
2284: Developer Note:
2285: Should be called `MatSTRUMPACKReorderingType`
2287: .seealso: `Mat`, `MATSOLVERSTRUMPACK`, `MatGetFactor()`, `MatSTRUMPACKSetReordering()`
2288: E*/
2289: typedef enum {
2290: MAT_STRUMPACK_NATURAL,
2291: MAT_STRUMPACK_METIS,
2292: MAT_STRUMPACK_PARMETIS,
2293: MAT_STRUMPACK_SCOTCH,
2294: MAT_STRUMPACK_PTSCOTCH,
2295: MAT_STRUMPACK_RCM,
2296: MAT_STRUMPACK_GEOMETRIC,
2297: MAT_STRUMPACK_AMD,
2298: MAT_STRUMPACK_MMD,
2299: MAT_STRUMPACK_AND,
2300: MAT_STRUMPACK_MLF,
2301: MAT_STRUMPACK_SPECTRAL
2302: } MatSTRUMPACKReordering;
2304: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetReordering(Mat, MatSTRUMPACKReordering);
2305: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetReordering(Mat, MatSTRUMPACKReordering *);
2306: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetGeometricNxyz(Mat, PetscInt, PetscInt, PetscInt);
2307: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetGeometricComponents(Mat, PetscInt);
2308: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetGeometricWidth(Mat, PetscInt);
2309: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetColPerm(Mat, PetscBool);
2310: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetColPerm(Mat, PetscBool *);
2311: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetGPU(Mat, PetscBool);
2312: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetGPU(Mat, PetscBool *);
2314: /*E
2315: MatSTRUMPACKCompressionType - Compression used in the approximate sparse factorization solver `MATSOLVERSTRUMPACK`
2317: Values:
2318: + `MAT_STRUMPACK_COMPRESSION_TYPE_NONE` - no compression, direct solver
2319: . `MAT_STRUMPACK_COMPRESSION_TYPE_HSS` - hierarchically semi-separable
2320: . `MAT_STRUMPACK_COMPRESSION_TYPE_BLR` - block low rank
2321: . `MAT_STRUMPACK_COMPRESSION_TYPE_HODLR` - hierarchically off-diagonal low rank (requires ButterfyPACK support, configure with --download-butterflypack)
2322: . `MAT_STRUMPACK_COMPRESSION_TYPE_BLR_HODLR` - hybrid of BLR and HODLR (requires ButterfyPACK support, configure with --download-butterflypack)
2323: . `MAT_STRUMPACK_COMPRESSION_TYPE_ZFP_BLR_HODLR` - hybrid of lossy (ZFP), BLR and HODLR (requires ButterfyPACK and ZFP support, configure with --download-butterflypack --download-zfp)
2324: . `MAT_STRUMPACK_COMPRESSION_TYPE_LOSSLESS` - lossless compression (requires ZFP support, configure with --download-zfp)
2325: - `MAT_STRUMPACK_COMPRESSION_TYPE_LOSSY` - lossy compression (requires ZFP support, configure with --download-zfp)
2327: Level: intermediate
2329: .seealso: `Mat`, `MATSOLVERSTRUMPACK`, `MatGetFactor()`, `MatSTRUMPACKSetCompression()`
2330: E*/
2331: typedef enum {
2332: MAT_STRUMPACK_COMPRESSION_TYPE_NONE,
2333: MAT_STRUMPACK_COMPRESSION_TYPE_HSS,
2334: MAT_STRUMPACK_COMPRESSION_TYPE_BLR,
2335: MAT_STRUMPACK_COMPRESSION_TYPE_HODLR,
2336: MAT_STRUMPACK_COMPRESSION_TYPE_BLR_HODLR,
2337: MAT_STRUMPACK_COMPRESSION_TYPE_ZFP_BLR_HODLR,
2338: MAT_STRUMPACK_COMPRESSION_TYPE_LOSSLESS,
2339: MAT_STRUMPACK_COMPRESSION_TYPE_LOSSY
2340: } MatSTRUMPACKCompressionType;
2342: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompression(Mat, MatSTRUMPACKCompressionType);
2343: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompression(Mat, MatSTRUMPACKCompressionType *);
2344: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompRelTol(Mat, PetscReal);
2345: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompRelTol(Mat, PetscReal *);
2346: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompAbsTol(Mat, PetscReal);
2347: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompAbsTol(Mat, PetscReal *);
2348: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompMinSepSize(Mat, PetscInt);
2349: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompMinSepSize(Mat, PetscInt *);
2350: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompLeafSize(Mat, PetscInt);
2351: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompLeafSize(Mat, PetscInt *);
2352: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompLossyPrecision(Mat, PetscInt);
2353: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompLossyPrecision(Mat, PetscInt *);
2354: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompButterflyLevels(Mat, PetscInt);
2355: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompButterflyLevels(Mat, PetscInt *);
2356: #endif
2358: PETSC_EXTERN PetscErrorCode MatBindToCPU(Mat, PetscBool);
2359: PETSC_EXTERN PetscErrorCode MatBoundToCPU(Mat, PetscBool *);
2360: PETSC_DEPRECATED_FUNCTION(3, 13, 0, "MatBindToCPU()", ) static inline PetscErrorCode MatPinToCPU(Mat A, PetscBool flg)
2361: {
2362: return MatBindToCPU(A, flg);
2363: }
2364: PETSC_EXTERN PetscErrorCode MatSetBindingPropagates(Mat, PetscBool);
2365: PETSC_EXTERN PetscErrorCode MatGetBindingPropagates(Mat, PetscBool *);
2367: #ifdef PETSC_HAVE_CUDA
2368: /*E
2369: MatCUSPARSEStorageFormat - indicates the storage format for `MATAIJCUSPARSE` (GPU)
2370: matrices.
2372: Values:
2373: + `MAT_CUSPARSE_CSR` - Compressed Sparse Row
2374: . `MAT_CUSPARSE_ELL` - Ellpack (requires CUDA 4.2 or later).
2375: - `MAT_CUSPARSE_HYB` - Hybrid, a combination of Ellpack and Coordinate format (requires CUDA 4.2 or later).
2377: Level: intermediate
2379: .seealso: [](ch_matrices), `MATAIJCUSPARSE`, `MatCUSPARSESetFormat()`, `MatCUSPARSEFormatOperation`
2380: E*/
2382: typedef enum {
2383: MAT_CUSPARSE_CSR,
2384: MAT_CUSPARSE_ELL,
2385: MAT_CUSPARSE_HYB
2386: } MatCUSPARSEStorageFormat;
2388: /* these will be strings associated with enumerated type defined above */
2389: PETSC_EXTERN const char *const MatCUSPARSEStorageFormats[];
2391: /*E
2392: MatCUSPARSEFormatOperation - indicates the operation of `MATAIJCUSPARSE` (GPU)
2393: matrices whose operation should use a particular storage format.
2395: Values:
2396: + `MAT_CUSPARSE_MULT_DIAG` - sets the storage format for the diagonal matrix in the parallel `MatMult()`
2397: . `MAT_CUSPARSE_MULT_OFFDIAG` - sets the storage format for the off-diagonal matrix in the parallel `MatMult()`
2398: . `MAT_CUSPARSE_MULT` - sets the storage format for the entire matrix in the serial (single GPU) `MatMult()`
2399: - `MAT_CUSPARSE_ALL` - sets the storage format for all `MATAIJCUSPARSE` (GPU) matrices
2401: Level: intermediate
2403: .seealso: [](ch_matrices), `MatCUSPARSESetFormat()`, `MatCUSPARSEStorageFormat`
2404: E*/
2405: typedef enum {
2406: MAT_CUSPARSE_MULT_DIAG,
2407: MAT_CUSPARSE_MULT_OFFDIAG,
2408: MAT_CUSPARSE_MULT,
2409: MAT_CUSPARSE_ALL
2410: } MatCUSPARSEFormatOperation;
2412: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCUSPARSE(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
2413: PETSC_EXTERN PetscErrorCode MatCreateAIJCUSPARSE(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
2414: PETSC_EXTERN PetscErrorCode MatCUSPARSESetFormat(Mat, MatCUSPARSEFormatOperation, MatCUSPARSEStorageFormat);
2415: PETSC_EXTERN PetscErrorCode MatCUSPARSESetUseCPUSolve(Mat, PetscBool);
2416: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSEGetIJ(Mat, PetscBool, const int **, const int **);
2417: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSERestoreIJ(Mat, PetscBool, const int **, const int **);
2418: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSEGetArrayRead(Mat, const PetscScalar **);
2419: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSERestoreArrayRead(Mat, const PetscScalar **);
2420: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSEGetArrayWrite(Mat, PetscScalar **);
2421: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSERestoreArrayWrite(Mat, PetscScalar **);
2422: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSEGetArray(Mat, PetscScalar **);
2423: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSERestoreArray(Mat, PetscScalar **);
2425: PETSC_EXTERN PetscErrorCode MatCreateDenseCUDA(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar[], Mat *);
2426: PETSC_EXTERN PetscErrorCode MatCreateSeqDenseCUDA(MPI_Comm, PetscInt, PetscInt, PetscScalar[], Mat *);
2427: PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArrayWrite(Mat, PetscScalar **);
2428: PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArrayRead(Mat, const PetscScalar **);
2429: PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArray(Mat, PetscScalar **);
2430: PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArrayWrite(Mat, PetscScalar **);
2431: PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArrayRead(Mat, const PetscScalar **);
2432: PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArray(Mat, PetscScalar **);
2433: PETSC_EXTERN PetscErrorCode MatDenseCUDAPlaceArray(Mat, const PetscScalar *);
2434: PETSC_EXTERN PetscErrorCode MatDenseCUDAReplaceArray(Mat, const PetscScalar *);
2435: PETSC_EXTERN PetscErrorCode MatDenseCUDAResetArray(Mat);
2436: PETSC_EXTERN PetscErrorCode MatDenseCUDASetPreallocation(Mat, PetscScalar *);
2438: PETSC_EXTERN PetscErrorCode MatCreateSeqSELLCUDA(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
2439: PETSC_EXTERN PetscErrorCode MatCreateSELLCUDA(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
2440: #endif
2442: #ifdef PETSC_HAVE_HIP
2443: /*E
2444: MatHIPSPARSEStorageFormat - indicates the storage format for `MATAIJHIPSPARSE` (GPU)
2445: matrices.
2447: Values:
2448: + `MAT_HIPSPARSE_CSR` - Compressed Sparse Row
2449: . `MAT_HIPSPARSE_ELL` - Ellpack
2450: - `MAT_HIPSPARSE_HYB` - Hybrid, a combination of Ellpack and Coordinate format
2452: Level: intermediate
2454: .seealso: [](ch_matrices), `MatHIPSPARSESetFormat()`, `MatHIPSPARSEFormatOperation`
2455: E*/
2457: typedef enum {
2458: MAT_HIPSPARSE_CSR,
2459: MAT_HIPSPARSE_ELL,
2460: MAT_HIPSPARSE_HYB
2461: } MatHIPSPARSEStorageFormat;
2463: /* these will be strings associated with enumerated type defined above */
2464: PETSC_EXTERN const char *const MatHIPSPARSEStorageFormats[];
2466: /*E
2467: MatHIPSPARSEFormatOperation - indicates the operation of `MATAIJHIPSPARSE` (GPU)
2468: matrices whose operation should use a particular storage format.
2470: Values:
2471: + `MAT_HIPSPARSE_MULT_DIAG` - sets the storage format for the diagonal matrix in the parallel `MatMult()`
2472: . `MAT_HIPSPARSE_MULT_OFFDIAG` - sets the storage format for the off-diagonal matrix in the parallel `MatMult()`
2473: . `MAT_HIPSPARSE_MULT` - sets the storage format for the entire matrix in the serial (single GPU) `MatMult()`
2474: - `MAT_HIPSPARSE_ALL` - sets the storage format for all HIPSPARSE (GPU) matrices
2476: Level: intermediate
2478: .seealso: [](ch_matrices), `MatHIPSPARSESetFormat()`, `MatHIPSPARSEStorageFormat`
2479: E*/
2480: typedef enum {
2481: MAT_HIPSPARSE_MULT_DIAG,
2482: MAT_HIPSPARSE_MULT_OFFDIAG,
2483: MAT_HIPSPARSE_MULT,
2484: MAT_HIPSPARSE_ALL
2485: } MatHIPSPARSEFormatOperation;
2487: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJHIPSPARSE(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
2488: PETSC_EXTERN PetscErrorCode MatCreateAIJHIPSPARSE(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
2489: PETSC_EXTERN PetscErrorCode MatHIPSPARSESetFormat(Mat, MatHIPSPARSEFormatOperation, MatHIPSPARSEStorageFormat);
2490: PETSC_EXTERN PetscErrorCode MatHIPSPARSESetUseCPUSolve(Mat, PetscBool);
2491: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSEGetIJ(Mat, PetscBool, const int **, const int **);
2492: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSERestoreIJ(Mat, PetscBool, const int **, const int **);
2493: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSEGetArrayRead(Mat, const PetscScalar **);
2494: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSERestoreArrayRead(Mat, const PetscScalar **);
2495: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSEGetArrayWrite(Mat, PetscScalar **);
2496: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSERestoreArrayWrite(Mat, PetscScalar **);
2497: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSEGetArray(Mat, PetscScalar **);
2498: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSERestoreArray(Mat, PetscScalar **);
2500: PETSC_EXTERN PetscErrorCode MatCreateDenseHIP(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar[], Mat *);
2501: PETSC_EXTERN PetscErrorCode MatCreateSeqDenseHIP(MPI_Comm, PetscInt, PetscInt, PetscScalar[], Mat *);
2502: PETSC_EXTERN PetscErrorCode MatDenseHIPGetArrayWrite(Mat, PetscScalar **);
2503: PETSC_EXTERN PetscErrorCode MatDenseHIPGetArrayRead(Mat, const PetscScalar **);
2504: PETSC_EXTERN PetscErrorCode MatDenseHIPGetArray(Mat, PetscScalar **);
2505: PETSC_EXTERN PetscErrorCode MatDenseHIPRestoreArrayWrite(Mat, PetscScalar **);
2506: PETSC_EXTERN PetscErrorCode MatDenseHIPRestoreArrayRead(Mat, const PetscScalar **);
2507: PETSC_EXTERN PetscErrorCode MatDenseHIPRestoreArray(Mat, PetscScalar **);
2508: PETSC_EXTERN PetscErrorCode MatDenseHIPPlaceArray(Mat, const PetscScalar *);
2509: PETSC_EXTERN PetscErrorCode MatDenseHIPReplaceArray(Mat, const PetscScalar *);
2510: PETSC_EXTERN PetscErrorCode MatDenseHIPResetArray(Mat);
2511: PETSC_EXTERN PetscErrorCode MatDenseHIPSetPreallocation(Mat, PetscScalar *);
2512: #endif
2514: #if defined(PETSC_HAVE_VIENNACL)
2515: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJViennaCL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
2516: PETSC_EXTERN PetscErrorCode MatCreateAIJViennaCL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
2517: #endif
2519: #if PetscDefined(HAVE_KOKKOS)
2520: PETSC_EXTERN PetscErrorCode MatCreateAIJKokkos(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
2521: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJKokkos(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
2522: #endif
2524: #if defined(PETSC_HAVE_FFTW)
2525: PETSC_EXTERN PetscErrorCode VecScatterPetscToFFTW(Mat, Vec, Vec);
2526: PETSC_EXTERN PetscErrorCode VecScatterFFTWToPetsc(Mat, Vec, Vec);
2527: PETSC_EXTERN PetscErrorCode MatCreateVecsFFTW(Mat, Vec *, Vec *, Vec *);
2528: #endif
2530: #if defined(PETSC_HAVE_SCALAPACK)
2531: PETSC_EXTERN PetscErrorCode MatCreateScaLAPACK(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, Mat *);
2532: PETSC_EXTERN PetscErrorCode MatScaLAPACKSetBlockSizes(Mat, PetscInt, PetscInt);
2533: PETSC_EXTERN PetscErrorCode MatScaLAPACKGetBlockSizes(Mat, PetscInt *, PetscInt *);
2534: #endif
2536: PETSC_EXTERN PetscErrorCode MatCreateNest(MPI_Comm, PetscInt, const IS[], PetscInt, const IS[], const Mat[], Mat *);
2537: PETSC_EXTERN PetscErrorCode MatNestGetSize(Mat, PetscInt *, PetscInt *);
2538: PETSC_EXTERN PetscErrorCode MatNestGetISs(Mat, IS[], IS[]);
2539: PETSC_EXTERN PetscErrorCode MatNestGetLocalISs(Mat, IS[], IS[]);
2540: PETSC_EXTERN PetscErrorCode MatNestGetSubMats(Mat, PetscInt *, PetscInt *, Mat ***);
2541: PETSC_EXTERN PetscErrorCode MatNestGetSubMat(Mat, PetscInt, PetscInt, Mat *);
2542: PETSC_EXTERN PetscErrorCode MatNestSetVecType(Mat, VecType);
2543: PETSC_EXTERN PetscErrorCode MatNestSetSubMats(Mat, PetscInt, const IS[], PetscInt, const IS[], const Mat[]);
2544: PETSC_EXTERN PetscErrorCode MatNestSetSubMat(Mat, PetscInt, PetscInt, Mat);
2546: PETSC_EXTERN PetscErrorCode MatFilter(Mat, PetscReal, PetscBool, PetscBool);
2547: PETSC_DEPRECATED_FUNCTION(3, 20, 0, "MatFilter()", ) static inline PetscErrorCode MatChop(Mat A, PetscReal tol)
2548: {
2549: return MatFilter(A, tol, PETSC_FALSE, PETSC_FALSE);
2550: }
2551: PETSC_EXTERN PetscErrorCode MatComputeBandwidth(Mat, PetscReal, PetscInt *);
2553: PETSC_EXTERN PetscErrorCode MatSubdomainsCreateCoalesce(Mat, PetscInt, PetscInt *, IS **);
2555: PETSC_EXTERN PetscErrorCode MatPreallocatorPreallocate(Mat, PetscBool, Mat);
2557: PETSC_EXTERN PetscErrorCode MatHeaderMerge(Mat, Mat *);
2558: PETSC_EXTERN PetscErrorCode MatHeaderReplace(Mat, Mat *);
2560: PETSC_EXTERN PetscErrorCode MatSeqAIJGetCSRAndMemType(Mat, const PetscInt **, const PetscInt **, PetscScalar **, PetscMemType *);
2562: PETSC_EXTERN PetscErrorCode MatCreateGraph(Mat, PetscBool, PetscBool, PetscReal, Mat *);
2563: PETSC_EXTERN PetscErrorCode MatEliminateZeros(Mat, PetscBool);
2565: PETSC_EXTERN PetscErrorCode MatCreateDenseFromVecType(MPI_Comm, VecType, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar *, Mat *);