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 MATSELLHIP "sellhip"
123: #define MATSEQSELLHIP "seqsellhip"
124: #define MATMPISELLHIP "mpisellhip"
125: #define MATDUMMY "dummy"
126: #define MATLMVM "lmvm"
127: #define MATLMVMDFP "lmvmdfp"
128: #define MATLMVMDDFP "lmvmddfp"
129: #define MATLMVMBFGS "lmvmbfgs"
130: #define MATLMVMDBFGS "lmvmdbfgs"
131: #define MATLMVMDQN "lmvmdqn"
132: #define MATLMVMSR1 "lmvmsr1"
133: #define MATLMVMBROYDEN "lmvmbroyden"
134: #define MATLMVMBADBROYDEN "lmvmbadbroyden"
135: #define MATLMVMSYMBROYDEN "lmvmsymbroyden"
136: #define MATLMVMSYMBADBROYDEN "lmvmsymbadbroyden"
137: #define MATLMVMDIAGBROYDEN "lmvmdiagbroyden"
138: #define MATCONSTANTDIAGONAL "constantdiagonal"
139: #define MATDIAGONAL "diagonal"
140: #define MATHTOOL "htool"
141: #define MATH2OPUS "h2opus"
143: /*J
144: MatSolverType - String with the name of a PETSc factorization-based matrix solver type.
146: For example: "petsc" indicates what PETSc provides, "superlu_dist" the parallel SuperLU_DIST package etc
148: Level: beginner
150: Note:
151: `MATSOLVERUMFPACK`, `MATSOLVERCHOLMOD`, `MATSOLVERKLU`, `MATSOLVERSPQR` form the SuiteSparse package; you can use `--download-suitesparse` as
152: a ./configure option to install them
154: .seealso: [](sec_matfactor), [](ch_matrices), `MatGetFactor()`, `PCFactorSetMatSolverType()`, `PCFactorGetMatSolverType()`
155: J*/
156: typedef const char *MatSolverType;
157: #define MATSOLVERSUPERLU "superlu"
158: #define MATSOLVERSUPERLU_DIST "superlu_dist"
159: #define MATSOLVERSTRUMPACK "strumpack"
160: #define MATSOLVERUMFPACK "umfpack"
161: #define MATSOLVERCHOLMOD "cholmod"
162: #define MATSOLVERKLU "klu"
163: #define MATSOLVERELEMENTAL "elemental"
164: #define MATSOLVERSCALAPACK "scalapack"
165: #define MATSOLVERESSL "essl"
166: #define MATSOLVERLUSOL "lusol"
167: #define MATSOLVERMUMPS "mumps"
168: #define MATSOLVERMKL_PARDISO "mkl_pardiso"
169: #define MATSOLVERMKL_CPARDISO "mkl_cpardiso"
170: #define MATSOLVERPASTIX "pastix"
171: #define MATSOLVERMATLAB "matlab"
172: #define MATSOLVERPETSC "petsc"
173: #define MATSOLVERBAS "bas"
174: #define MATSOLVERCUSPARSE "cusparse"
175: #define MATSOLVERCUDA "cuda"
176: #define MATSOLVERHIPSPARSE "hipsparse"
177: #define MATSOLVERHIP "hip"
178: #define MATSOLVERKOKKOS "kokkos"
179: #define MATSOLVERSPQR "spqr"
181: /*E
182: MatFactorType - indicates what type of factorization is requested
184: Values:
185: + `MAT_FACTOR_LU` - LU factorization
186: . `MAT_FACTOR_CHOLESKY` - Cholesky factorization
187: . `MAT_FACTOR_ILU` - ILU factorization
188: . `MAT_FACTOR_ICC` - incomplete Cholesky factorization
189: . `MAT_FACTOR_ILUDT` - ILU factorization with drop tolerance
190: - `MAT_FACTOR_QR` - QR factorization
192: Level: beginner
194: .seealso: [](ch_matrices), `MatSolverType`, `MatGetFactor()`, `MatGetFactorAvailable()`, `MatSolverTypeRegister()`
195: E*/
196: typedef enum {
197: MAT_FACTOR_NONE,
198: MAT_FACTOR_LU,
199: MAT_FACTOR_CHOLESKY,
200: MAT_FACTOR_ILU,
201: MAT_FACTOR_ICC,
202: MAT_FACTOR_ILUDT,
203: MAT_FACTOR_QR,
204: MAT_FACTOR_NUM_TYPES
205: } MatFactorType;
206: PETSC_EXTERN const char *const MatFactorTypes[];
208: PETSC_EXTERN PetscErrorCode MatGetFactor(Mat, MatSolverType, MatFactorType, Mat *);
209: PETSC_EXTERN PetscErrorCode MatGetFactorAvailable(Mat, MatSolverType, MatFactorType, PetscBool *);
210: PETSC_EXTERN PetscErrorCode MatFactorGetCanUseOrdering(Mat, PetscBool *);
211: PETSC_DEPRECATED_FUNCTION(3, 15, 0, "MatFactorGetCanUseOrdering()", ) static inline PetscErrorCode MatFactorGetUseOrdering(Mat A, PetscBool *b)
212: {
213: return MatFactorGetCanUseOrdering(A, b);
214: }
215: PETSC_EXTERN PetscErrorCode MatFactorGetSolverType(Mat, MatSolverType *);
216: PETSC_EXTERN PetscErrorCode MatGetFactorType(Mat, MatFactorType *);
217: PETSC_EXTERN PetscErrorCode MatSetFactorType(Mat, MatFactorType);
218: PETSC_EXTERN_TYPEDEF typedef PetscErrorCode(MatSolverFn)(Mat, MatFactorType, Mat *);
219: PETSC_EXTERN_TYPEDEF typedef MatSolverFn *MatSolverFunction;
221: PETSC_EXTERN PetscErrorCode MatSolverTypeRegister(MatSolverType, MatType, MatFactorType, MatSolverFn *);
222: PETSC_EXTERN PetscErrorCode MatSolverTypeGet(MatSolverType, MatType, MatFactorType, PetscBool *, PetscBool *, MatSolverFn **);
223: typedef MatSolverType MatSolverPackage PETSC_DEPRECATED_TYPEDEF(3, 9, 0, "MatSolverType", );
224: PETSC_DEPRECATED_FUNCTION(3, 9, 0, "MatSolverTypeRegister()", ) static inline PetscErrorCode MatSolverPackageRegister(MatSolverType stype, MatType mtype, MatFactorType ftype, MatSolverFn *f)
225: {
226: return MatSolverTypeRegister(stype, mtype, ftype, f);
227: }
228: PETSC_DEPRECATED_FUNCTION(3, 9, 0, "MatSolverTypeGet()", ) static inline PetscErrorCode MatSolverPackageGet(MatSolverType stype, MatType mtype, MatFactorType ftype, PetscBool *foundmtype, PetscBool *foundstype, MatSolverFn **f)
229: {
230: return MatSolverTypeGet(stype, mtype, ftype, foundmtype, foundstype, f);
231: }
233: /*E
234: MatProductType - indicates what type of matrix product to compute
236: Values:
237: + `MATPRODUCT_AB` - product of two matrices
238: . `MATPRODUCT_AtB` - product of the transpose of a given matrix with a matrix
239: . `MATPRODUCT_ABt` - product of a matrix with the transpose of another given matrix
240: . `MATPRODUCT_PtAP` - the triple product of the transpose of a matrix with another matrix and itself
241: . `MATPRODUCT_RARt` - the triple product of a matrix, another matrix and the transpose of the first matrix
242: - `MATPRODUCT_ABC` - the product of three matrices
244: Level: beginner
246: .seealso: [](sec_matmatproduct), [](ch_matrices), `MatProductSetType()`
247: E*/
248: typedef enum {
249: MATPRODUCT_UNSPECIFIED = 0,
250: MATPRODUCT_AB,
251: MATPRODUCT_AtB,
252: MATPRODUCT_ABt,
253: MATPRODUCT_PtAP,
254: MATPRODUCT_RARt,
255: MATPRODUCT_ABC
256: } MatProductType;
257: PETSC_EXTERN const char *const MatProductTypes[];
259: /*J
260: MatProductAlgorithm - String with the name of an algorithm for a PETSc matrix product implementation
262: Level: beginner
264: .seealso: [](sec_matmatproduct), [](ch_matrices), `MatSetType()`, `Mat`, `MatProductSetAlgorithm()`, `MatProductType`
265: J*/
266: typedef const char *MatProductAlgorithm;
267: #define MATPRODUCTALGORITHMDEFAULT "default"
268: #define MATPRODUCTALGORITHMSORTED "sorted"
269: #define MATPRODUCTALGORITHMSCALABLE "scalable"
270: #define MATPRODUCTALGORITHMSCALABLEFAST "scalable_fast"
271: #define MATPRODUCTALGORITHMHEAP "heap"
272: #define MATPRODUCTALGORITHMBHEAP "btheap"
273: #define MATPRODUCTALGORITHMLLCONDENSED "llcondensed"
274: #define MATPRODUCTALGORITHMROWMERGE "rowmerge"
275: #define MATPRODUCTALGORITHMOUTERPRODUCT "outerproduct"
276: #define MATPRODUCTALGORITHMATB "at*b"
277: #define MATPRODUCTALGORITHMRAP "rap"
278: #define MATPRODUCTALGORITHMNONSCALABLE "nonscalable"
279: #define MATPRODUCTALGORITHMSEQMPI "seqmpi"
280: #define MATPRODUCTALGORITHMBACKEND "backend"
281: #define MATPRODUCTALGORITHMOVERLAPPING "overlapping"
282: #define MATPRODUCTALGORITHMMERGED "merged"
283: #define MATPRODUCTALGORITHMALLATONCE "allatonce"
284: #define MATPRODUCTALGORITHMALLATONCEMERGED "allatonce_merged"
285: #define MATPRODUCTALGORITHMALLGATHERV "allgatherv"
286: #define MATPRODUCTALGORITHMCYCLIC "cyclic"
287: #if defined(PETSC_HAVE_HYPRE)
288: #define MATPRODUCTALGORITHMHYPRE "hypre"
289: #endif
291: PETSC_EXTERN PetscErrorCode MatProductCreate(Mat, Mat, Mat, Mat *);
292: PETSC_EXTERN PetscErrorCode MatProductCreateWithMat(Mat, Mat, Mat, Mat);
293: PETSC_EXTERN PetscErrorCode MatProductSetType(Mat, MatProductType);
294: PETSC_EXTERN PetscErrorCode MatProductSetAlgorithm(Mat, MatProductAlgorithm);
295: PETSC_EXTERN PetscErrorCode MatProductGetAlgorithm(Mat, MatProductAlgorithm *);
296: PETSC_EXTERN PetscErrorCode MatProductSetFill(Mat, PetscReal);
297: PETSC_EXTERN PetscErrorCode MatProductSetFromOptions(Mat);
298: PETSC_EXTERN PetscErrorCode MatProductSymbolic(Mat);
299: PETSC_EXTERN PetscErrorCode MatProductNumeric(Mat);
300: PETSC_EXTERN PetscErrorCode MatProductReplaceMats(Mat, Mat, Mat, Mat);
301: PETSC_EXTERN PetscErrorCode MatProductClear(Mat);
302: PETSC_EXTERN PetscErrorCode MatProductView(Mat, PetscViewer);
303: PETSC_EXTERN PetscErrorCode MatProductGetType(Mat, MatProductType *);
304: PETSC_EXTERN PetscErrorCode MatProductGetMats(Mat, Mat *, Mat *, Mat *);
306: /* Logging support */
307: #define MAT_FILE_CLASSID 1211216 /* used to indicate matrices in binary files */
308: PETSC_EXTERN PetscClassId MAT_CLASSID;
309: PETSC_EXTERN PetscClassId MAT_COLORING_CLASSID;
310: PETSC_EXTERN PetscClassId MAT_FDCOLORING_CLASSID;
311: PETSC_EXTERN PetscClassId MAT_TRANSPOSECOLORING_CLASSID;
312: PETSC_EXTERN PetscClassId MAT_PARTITIONING_CLASSID;
313: PETSC_EXTERN PetscClassId MAT_COARSEN_CLASSID;
314: PETSC_EXTERN PetscClassId MAT_NULLSPACE_CLASSID;
315: PETSC_EXTERN PetscClassId MATMFFD_CLASSID;
317: /*E
318: MatReuse - Indicates if matrices obtained from a previous call to `MatCreateSubMatrices()`, `MatCreateSubMatrix()`, `MatConvert()` or several other functions
319: are to be reused to store the new matrix values.
321: Values:
322: + `MAT_INITIAL_MATRIX` - create a new matrix
323: . `MAT_REUSE_MATRIX` - reuse the matrix created with a previous call that used `MAT_INITIAL_MATRIX`
324: . `MAT_INPLACE_MATRIX` - replace the first input matrix with the new matrix (not applicable to all functions)
325: - `MAT_IGNORE_MATRIX` - do not create a new matrix or reuse a give matrix, just ignore that matrix argument (not applicable to all functions)
327: Level: beginner
329: .seealso: [](ch_matrices), `Mat`, `MatCreateSubMatrices()`, `MatCreateSubMatrix()`, `MatDestroyMatrices()`, `MatConvert()`
330: E*/
331: typedef enum {
332: MAT_INITIAL_MATRIX,
333: MAT_REUSE_MATRIX,
334: MAT_IGNORE_MATRIX,
335: MAT_INPLACE_MATRIX
336: } MatReuse;
338: /*E
339: MatCreateSubMatrixOption - Indicates if matrices obtained from a call to `MatCreateSubMatrices()`
340: include the matrix values. Currently it is only used by `MatGetSeqNonzeroStructure()`.
342: Values:
343: + `MAT_DO_NOT_GET_VALUES` - do not copy the matrix values
344: - `MAT_GET_VALUES` - copy the matrix values
346: Level: developer
348: Developer Note:
349: Why is not just a boolean used for this information?
351: .seealso: [](ch_matrices), `Mat`, `MatDuplicateOption`, `PetscCopyMode`, `MatGetSeqNonzeroStructure()`
352: E*/
353: typedef enum {
354: MAT_DO_NOT_GET_VALUES,
355: MAT_GET_VALUES
356: } MatCreateSubMatrixOption;
358: PETSC_EXTERN PetscErrorCode MatInitializePackage(void);
359: PETSC_EXTERN PetscErrorCode MatFinalizePackage(void);
361: PETSC_EXTERN PetscErrorCode MatCreate(MPI_Comm, Mat *);
362: PETSC_EXTERN PetscErrorCode MatCreateFromOptions(MPI_Comm, const char *, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, Mat *);
363: PETSC_EXTERN PetscErrorCode MatSetSizes(Mat, PetscInt, PetscInt, PetscInt, PetscInt);
364: PETSC_EXTERN PetscErrorCode MatSetType(Mat, MatType);
365: PETSC_EXTERN PetscErrorCode MatGetVecType(Mat, VecType *);
366: PETSC_EXTERN PetscErrorCode MatSetVecType(Mat, VecType);
367: PETSC_EXTERN PetscErrorCode MatSetFromOptions(Mat);
368: PETSC_EXTERN PetscErrorCode MatViewFromOptions(Mat, PetscObject, const char[]);
369: PETSC_EXTERN PetscErrorCode MatRegister(const char[], PetscErrorCode (*)(Mat));
370: PETSC_EXTERN PetscErrorCode MatRegisterRootName(const char[], const char[], const char[]);
371: PETSC_EXTERN PetscErrorCode MatSetOptionsPrefix(Mat, const char[]);
372: PETSC_EXTERN PetscErrorCode MatSetOptionsPrefixFactor(Mat, const char[]);
373: PETSC_EXTERN PetscErrorCode MatAppendOptionsPrefixFactor(Mat, const char[]);
374: PETSC_EXTERN PetscErrorCode MatAppendOptionsPrefix(Mat, const char[]);
375: PETSC_EXTERN PetscErrorCode MatGetOptionsPrefix(Mat, const char *[]);
376: PETSC_EXTERN PetscErrorCode MatSetErrorIfFailure(Mat, PetscBool);
378: PETSC_EXTERN PetscFunctionList MatList;
379: PETSC_EXTERN PetscFunctionList MatColoringList;
380: PETSC_EXTERN PetscFunctionList MatPartitioningList;
382: /*E
383: MatStructure - Indicates if two matrices have the same nonzero structure
385: Values:
386: + `SAME_NONZERO_PATTERN` - the two matrices have identical nonzero patterns
387: . `DIFFERENT_NONZERO_PATTERN` - the two matrices may have different nonzero patterns
388: . `SUBSET_NONZERO_PATTERN` - the nonzero pattern of the second matrix is a subset of the nonzero pattern of the first matrix
389: - `UNKNOWN_NONZERO_PATTERN` - there is no known relationship between the nonzero patterns. In this case the implementations
390: may try to detect a relationship to optimize the operation
392: Level: beginner
394: Note:
395: Certain matrix operations (such as `MatAXPY()`) can run much faster if the sparsity pattern of the matrices are the same. But actually determining if
396: 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
397: to certain PETSc routines.
399: .seealso: [](ch_matrices), `Mat`, `MatCopy()`, `MatAXPY()`, `MatAYPX()`
400: E*/
401: typedef enum {
402: DIFFERENT_NONZERO_PATTERN,
403: SUBSET_NONZERO_PATTERN,
404: SAME_NONZERO_PATTERN,
405: UNKNOWN_NONZERO_PATTERN
406: } MatStructure;
407: PETSC_EXTERN const char *const MatStructures[];
409: #if defined PETSC_HAVE_MKL_SPARSE
410: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJMKL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
411: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJMKL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
412: PETSC_EXTERN PetscErrorCode MatCreateBAIJMKL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
413: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJMKL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
414: #endif
416: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJPERM(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
417: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJPERM(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
419: PETSC_EXTERN PetscErrorCode MatCreateSeqSELL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
420: PETSC_EXTERN PetscErrorCode MatCreateSELL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
421: PETSC_EXTERN PetscErrorCode MatSeqSELLSetPreallocation(Mat, PetscInt, const PetscInt[]);
422: PETSC_EXTERN PetscErrorCode MatMPISELLSetPreallocation(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
423: PETSC_EXTERN PetscErrorCode MatSeqSELLGetFillRatio(Mat, PetscReal *);
424: PETSC_EXTERN PetscErrorCode MatSeqSELLGetMaxSliceWidth(Mat, PetscInt *);
425: PETSC_EXTERN PetscErrorCode MatSeqSELLGetAvgSliceWidth(Mat, PetscReal *);
426: PETSC_EXTERN PetscErrorCode MatSeqSELLSetSliceHeight(Mat, PetscInt);
427: PETSC_EXTERN PetscErrorCode MatSeqSELLGetVarSliceSize(Mat, PetscReal *);
429: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJSELL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
430: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSELL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
431: PETSC_EXTERN PetscErrorCode MatMPISELLGetLocalMatCondensed(Mat, MatReuse, IS *, IS *, Mat *);
432: PETSC_EXTERN PetscErrorCode MatMPISELLGetSeqSELL(Mat, Mat *, Mat *, const PetscInt *[]);
434: PETSC_EXTERN PetscErrorCode MatCreateSeqDense(MPI_Comm, PetscInt, PetscInt, PetscScalar[], Mat *);
435: PETSC_EXTERN PetscErrorCode MatCreateDense(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar[], Mat *);
436: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
437: PETSC_EXTERN PetscErrorCode MatCreateAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
438: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], Mat *);
439: PETSC_EXTERN PetscErrorCode MatUpdateMPIAIJWithArrays(Mat, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]);
440: PETSC_EXTERN PetscErrorCode MatUpdateMPIAIJWithArray(Mat, const PetscScalar[]);
441: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSplitArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], PetscInt[], PetscInt[], PetscScalar[], Mat *);
442: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSeqAIJ(MPI_Comm, Mat, Mat, const PetscInt[], Mat *);
444: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
445: PETSC_EXTERN PetscErrorCode MatCreateBAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
446: PETSC_EXTERN PetscErrorCode MatCreateMPIBAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], Mat *);
448: PETSC_EXTERN PetscErrorCode MatSetPreallocationCOO(Mat, PetscCount, PetscInt[], PetscInt[]);
449: PETSC_EXTERN PetscErrorCode MatSetPreallocationCOOLocal(Mat, PetscCount, PetscInt[], PetscInt[]);
450: PETSC_EXTERN PetscErrorCode MatSetValuesCOO(Mat, const PetscScalar[], InsertMode);
452: PETSC_EXTERN PetscErrorCode MatCreateMPIAdj(MPI_Comm, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscInt[], Mat *);
453: PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
455: PETSC_EXTERN PetscErrorCode MatCreateSBAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
456: PETSC_EXTERN PetscErrorCode MatCreateMPISBAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], Mat *);
457: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocationCSR(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]);
458: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocationCSR(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]);
459: PETSC_EXTERN PetscErrorCode MatXAIJSetPreallocation(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscInt[], const PetscInt[]);
461: PETSC_EXTERN PetscErrorCode MatCreateShell(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, void *, Mat *);
462: PETSC_EXTERN PetscErrorCode MatCreateCentering(MPI_Comm, PetscInt, PetscInt, Mat *);
463: PETSC_EXTERN PetscErrorCode MatCreateNormal(Mat, Mat *);
464: PETSC_EXTERN PetscErrorCode MatCreateNormalHermitian(Mat, Mat *);
465: PETSC_EXTERN PetscErrorCode MatCreateLRC(Mat, Mat, Vec, Mat, Mat *);
466: PETSC_EXTERN PetscErrorCode MatLRCGetMats(Mat, Mat *, Mat *, Vec *, Mat *);
467: PETSC_EXTERN PetscErrorCode MatLRCSetMats(Mat, Mat, Mat, Vec, Mat);
468: PETSC_EXTERN PetscErrorCode MatCreateIS(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, ISLocalToGlobalMapping, ISLocalToGlobalMapping, Mat *);
469: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCRL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
470: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJCRL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
472: PETSC_EXTERN PetscErrorCode MatCreateScatter(MPI_Comm, VecScatter, Mat *);
473: PETSC_EXTERN PetscErrorCode MatScatterSetVecScatter(Mat, VecScatter);
474: PETSC_EXTERN PetscErrorCode MatScatterGetVecScatter(Mat, VecScatter *);
475: PETSC_EXTERN PetscErrorCode MatCreateBlockMat(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt *, Mat *);
476: PETSC_EXTERN PetscErrorCode MatCompositeAddMat(Mat, Mat);
477: PETSC_EXTERN PetscErrorCode MatCompositeMerge(Mat);
478: typedef enum {
479: MAT_COMPOSITE_MERGE_RIGHT,
480: MAT_COMPOSITE_MERGE_LEFT
481: } MatCompositeMergeType;
482: PETSC_EXTERN PetscErrorCode MatCompositeSetMergeType(Mat, MatCompositeMergeType);
483: PETSC_EXTERN PetscErrorCode MatCreateComposite(MPI_Comm, PetscInt, const Mat *, Mat *);
484: /*E
485: MatCompositeType - indicates what type of `MATCOMPOSITE` is used
487: Values:
488: + `MAT_COMPOSITE_ADDITIVE` - sum of matrices (default)
489: - `MAT_COMPOSITE_MULTIPLICATIVE` - product of matrices
491: Level: beginner
493: .seealso: [](ch_matrices), `MATCOMPOSITE`, `MatCompositeSetType()`, `MatCompositeGetType()`
494: E*/
495: typedef enum {
496: MAT_COMPOSITE_ADDITIVE,
497: MAT_COMPOSITE_MULTIPLICATIVE
498: } MatCompositeType;
499: PETSC_EXTERN PetscErrorCode MatCompositeSetType(Mat, MatCompositeType);
500: PETSC_EXTERN PetscErrorCode MatCompositeGetType(Mat, MatCompositeType *);
501: PETSC_EXTERN PetscErrorCode MatCompositeSetMatStructure(Mat, MatStructure);
502: PETSC_EXTERN PetscErrorCode MatCompositeGetMatStructure(Mat, MatStructure *);
503: PETSC_EXTERN PetscErrorCode MatCompositeGetNumberMat(Mat, PetscInt *);
504: PETSC_EXTERN PetscErrorCode MatCompositeGetMat(Mat, PetscInt, Mat *);
505: PETSC_EXTERN PetscErrorCode MatCompositeSetScalings(Mat, const PetscScalar *);
507: PETSC_EXTERN PetscErrorCode MatCreateFFT(MPI_Comm, PetscInt, const PetscInt[], MatType, Mat *);
508: PETSC_EXTERN PetscErrorCode MatCreateSeqCUFFT(MPI_Comm, PetscInt, const PetscInt[], Mat *);
510: PETSC_EXTERN PetscErrorCode MatCreateTranspose(Mat, Mat *);
511: PETSC_EXTERN PetscErrorCode MatTransposeGetMat(Mat, Mat *);
512: PETSC_EXTERN PetscErrorCode MatCreateHermitianTranspose(Mat, Mat *);
513: PETSC_EXTERN PetscErrorCode MatHermitianTransposeGetMat(Mat, Mat *);
514: PETSC_EXTERN PetscErrorCode MatNormalGetMat(Mat, Mat *);
515: PETSC_EXTERN PetscErrorCode MatNormalHermitianGetMat(Mat, Mat *);
516: PETSC_EXTERN PetscErrorCode MatCreateSubMatrixVirtual(Mat, IS, IS, Mat *);
517: PETSC_EXTERN PetscErrorCode MatSubMatrixVirtualUpdate(Mat, Mat, IS, IS);
518: PETSC_EXTERN PetscErrorCode MatCreateLocalRef(Mat, IS, IS, Mat *);
519: PETSC_EXTERN PetscErrorCode MatCreateConstantDiagonal(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar, Mat *);
520: PETSC_EXTERN PetscErrorCode MatCreateDiagonal(Vec, Mat *);
521: PETSC_EXTERN PetscErrorCode MatDiagonalGetDiagonal(Mat, Vec *);
522: PETSC_EXTERN PetscErrorCode MatDiagonalRestoreDiagonal(Mat, Vec *);
523: PETSC_EXTERN PetscErrorCode MatDiagonalGetInverseDiagonal(Mat, Vec *);
524: PETSC_EXTERN PetscErrorCode MatDiagonalRestoreInverseDiagonal(Mat, Vec *);
526: #if defined(PETSC_HAVE_HYPRE)
527: PETSC_EXTERN PetscErrorCode MatHYPRESetPreallocation(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
528: #endif
530: PETSC_EXTERN PetscErrorCode MatPythonSetType(Mat, const char[]);
531: PETSC_EXTERN PetscErrorCode MatPythonGetType(Mat, const char *[]);
533: PETSC_EXTERN PetscErrorCode MatResetPreallocation(Mat);
534: PETSC_EXTERN PetscErrorCode MatSetUp(Mat);
535: PETSC_EXTERN PetscErrorCode MatDestroy(Mat *);
536: PETSC_EXTERN PetscErrorCode MatGetNonzeroState(Mat, PetscObjectState *);
538: PETSC_EXTERN PetscErrorCode MatConjugate(Mat);
539: PETSC_EXTERN PetscErrorCode MatRealPart(Mat);
540: PETSC_EXTERN PetscErrorCode MatImaginaryPart(Mat);
541: PETSC_EXTERN PetscErrorCode MatGetDiagonalBlock(Mat, Mat *);
542: PETSC_EXTERN PetscErrorCode MatGetTrace(Mat, PetscScalar *);
543: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonal(Mat, const PetscScalar **);
544: PETSC_EXTERN PetscErrorCode MatInvertVariableBlockDiagonal(Mat, PetscInt, const PetscInt *, PetscScalar *);
545: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonalMat(Mat, Mat);
546: PETSC_EXTERN PetscErrorCode MatInvertVariableBlockEnvelope(Mat, MatReuse, Mat *);
547: PETSC_EXTERN PetscErrorCode MatComputeVariableBlockEnvelope(Mat);
549: PETSC_EXTERN PetscErrorCode MatSetValues(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
550: PETSC_EXTERN PetscErrorCode MatSetValuesIS(Mat, IS, IS, const PetscScalar[], InsertMode);
551: PETSC_EXTERN PetscErrorCode MatSetValuesBlocked(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
552: PETSC_EXTERN PetscErrorCode MatSetValuesRow(Mat, PetscInt, const PetscScalar[]);
553: PETSC_EXTERN PetscErrorCode MatSetValuesRowLocal(Mat, PetscInt, const PetscScalar[]);
554: PETSC_EXTERN PetscErrorCode MatSetValuesBatch(Mat, PetscInt, PetscInt, PetscInt[], const PetscScalar[]);
555: PETSC_EXTERN PetscErrorCode MatSetRandom(Mat, PetscRandom);
557: /*S
558: MatStencil - Data structure (C struct) for storing information about rows and
559: columns of a matrix as indexed on an associated grid. These are arguments to `MatSetStencil()` and `MatSetBlockStencil()`
561: Level: beginner
563: Notes:
564: 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).
565: The c represents the degrees of freedom at each grid point (the dof argument to `DMDASetDOF()`). If dof is 1 then this entry is ignored.
567: For stencil access to vectors see `DMDAVecGetArray()`, `DMDAVecGetArrayF90()`.
569: For staggered grids, see `DMStagStencil`
571: Fortran Note:
572: See `MatSetValuesStencil()` for details.
574: .seealso: [](ch_matrices), `Mat`, `MatSetValuesStencil()`, `MatSetStencil()`, `MatSetValuesBlockedStencil()`, `DMDAVecGetArray()`, `DMDAVecGetArrayF90()`,
575: `DMStagStencil`
576: S*/
577: typedef struct {
578: PetscInt k, j, i, c;
579: } MatStencil;
581: PETSC_EXTERN PetscErrorCode MatSetValuesStencil(Mat, PetscInt, const MatStencil[], PetscInt, const MatStencil[], const PetscScalar[], InsertMode);
582: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedStencil(Mat, PetscInt, const MatStencil[], PetscInt, const MatStencil[], const PetscScalar[], InsertMode);
583: PETSC_EXTERN PetscErrorCode MatSetStencil(Mat, PetscInt, const PetscInt[], const PetscInt[], PetscInt);
585: /*E
586: MatAssemblyType - Indicates if the process of setting values into the matrix is complete, and the matrix is ready for use
588: Values:
589: + `MAT_FLUSH_ASSEMBLY` - you will continue to put values into the matrix
590: - `MAT_FINAL_ASSEMBLY` - you wish to use the matrix with the values currently inserted
592: Level: beginner
594: .seealso: [](ch_matrices), `Mat`, `MatSetValues`, `MatAssemblyBegin()`, `MatAssemblyEnd()`
595: E*/
596: typedef enum {
597: MAT_FLUSH_ASSEMBLY = 1,
598: MAT_FINAL_ASSEMBLY = 0
599: } MatAssemblyType;
601: PETSC_EXTERN PetscErrorCode MatAssemblyBegin(Mat, MatAssemblyType);
602: PETSC_EXTERN PetscErrorCode MatAssemblyEnd(Mat, MatAssemblyType);
603: PETSC_EXTERN PetscErrorCode MatAssembled(Mat, PetscBool *);
605: /*E
606: MatOption - Options that may be set for a matrix that indicate properties of the matrix or affect its behavior or storage
608: Level: beginner
610: Note:
611: See `MatSetOption()` for the use of the options
613: Developer Note:
614: Entries that are negative need not be called collectively by all processes.
616: .seealso: [](ch_matrices), `Mat`, `MatSetOption()`
617: E*/
618: typedef enum {
619: MAT_OPTION_MIN = -3,
620: MAT_UNUSED_NONZERO_LOCATION_ERR = -2,
621: MAT_ROW_ORIENTED = -1,
622: MAT_SYMMETRIC = 1,
623: MAT_STRUCTURALLY_SYMMETRIC = 2,
624: MAT_FORCE_DIAGONAL_ENTRIES = 3,
625: MAT_IGNORE_OFF_PROC_ENTRIES = 4,
626: MAT_USE_HASH_TABLE = 5,
627: MAT_KEEP_NONZERO_PATTERN = 6,
628: MAT_IGNORE_ZERO_ENTRIES = 7,
629: MAT_USE_INODES = 8,
630: MAT_HERMITIAN = 9,
631: MAT_SYMMETRY_ETERNAL = 10,
632: MAT_NEW_NONZERO_LOCATION_ERR = 11,
633: MAT_IGNORE_LOWER_TRIANGULAR = 12,
634: MAT_ERROR_LOWER_TRIANGULAR = 13,
635: MAT_GETROW_UPPERTRIANGULAR = 14,
636: MAT_SPD = 15,
637: MAT_NO_OFF_PROC_ZERO_ROWS = 16,
638: MAT_NO_OFF_PROC_ENTRIES = 17,
639: MAT_NEW_NONZERO_LOCATIONS = 18,
640: MAT_NEW_NONZERO_ALLOCATION_ERR = 19,
641: MAT_SUBSET_OFF_PROC_ENTRIES = 20,
642: MAT_SUBMAT_SINGLEIS = 21,
643: MAT_STRUCTURE_ONLY = 22,
644: MAT_SORTED_FULL = 23,
645: MAT_FORM_EXPLICIT_TRANSPOSE = 24,
646: MAT_STRUCTURAL_SYMMETRY_ETERNAL = 25,
647: MAT_SPD_ETERNAL = 26,
648: MAT_OPTION_MAX = 27
649: } MatOption;
651: PETSC_EXTERN const char *const *MatOptions;
652: PETSC_EXTERN PetscErrorCode MatSetOption(Mat, MatOption, PetscBool);
653: PETSC_EXTERN PetscErrorCode MatGetOption(Mat, MatOption, PetscBool *);
654: PETSC_EXTERN PetscErrorCode MatPropagateSymmetryOptions(Mat, Mat);
655: PETSC_EXTERN PetscErrorCode MatGetType(Mat, MatType *);
657: PETSC_EXTERN PetscErrorCode MatGetValues(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], PetscScalar[]);
658: PETSC_EXTERN PetscErrorCode MatGetRow(Mat, PetscInt, PetscInt *, const PetscInt *[], const PetscScalar *[]);
659: PETSC_EXTERN PetscErrorCode MatRestoreRow(Mat, PetscInt, PetscInt *, const PetscInt *[], const PetscScalar *[]);
660: PETSC_EXTERN PetscErrorCode MatGetRowUpperTriangular(Mat);
661: PETSC_EXTERN PetscErrorCode MatRestoreRowUpperTriangular(Mat);
662: PETSC_EXTERN PetscErrorCode MatGetColumnVector(Mat, Vec, PetscInt);
663: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArray(Mat, PetscScalar *[]);
664: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArrayRead(Mat, const PetscScalar *[]);
665: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArrayWrite(Mat, PetscScalar *[]);
666: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArray(Mat, PetscScalar *[]);
667: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArrayRead(Mat, const PetscScalar *[]);
668: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArrayWrite(Mat, PetscScalar *[]);
669: PETSC_EXTERN PetscErrorCode MatSeqAIJGetMaxRowNonzeros(Mat, PetscInt *);
670: PETSC_EXTERN PetscErrorCode MatSeqAIJSetValuesLocalFast(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
671: PETSC_EXTERN PetscErrorCode MatSeqAIJSetType(Mat, MatType);
672: PETSC_EXTERN PetscErrorCode MatSeqAIJKron(Mat, Mat, MatReuse, Mat *);
673: PETSC_EXTERN PetscErrorCode MatSeqAIJRegister(const char[], PetscErrorCode (*)(Mat, MatType, MatReuse, Mat *));
674: PETSC_EXTERN PetscFunctionList MatSeqAIJList;
675: PETSC_EXTERN PetscErrorCode MatSeqBAIJGetArray(Mat, PetscScalar *[]);
676: PETSC_EXTERN PetscErrorCode MatSeqBAIJRestoreArray(Mat, PetscScalar *[]);
677: PETSC_EXTERN PetscErrorCode MatSeqSBAIJGetArray(Mat, PetscScalar *[]);
678: PETSC_EXTERN PetscErrorCode MatSeqSBAIJRestoreArray(Mat, PetscScalar *[]);
679: PETSC_EXTERN PetscErrorCode MatDenseGetArray(Mat, PetscScalar *[]);
680: PETSC_EXTERN PetscErrorCode MatDenseRestoreArray(Mat, PetscScalar *[]);
681: PETSC_EXTERN PetscErrorCode MatDensePlaceArray(Mat, const PetscScalar[]);
682: PETSC_EXTERN PetscErrorCode MatDenseReplaceArray(Mat, const PetscScalar[]);
683: PETSC_EXTERN PetscErrorCode MatDenseResetArray(Mat);
684: PETSC_EXTERN PetscErrorCode MatDenseGetArrayRead(Mat, const PetscScalar *[]);
685: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayRead(Mat, const PetscScalar *[]);
686: PETSC_EXTERN PetscErrorCode MatDenseGetArrayWrite(Mat, PetscScalar *[]);
687: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayWrite(Mat, PetscScalar *[]);
688: PETSC_EXTERN PetscErrorCode MatDenseGetArrayAndMemType(Mat, PetscScalar *[], PetscMemType *);
689: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayAndMemType(Mat, PetscScalar *[]);
690: PETSC_EXTERN PetscErrorCode MatDenseGetArrayReadAndMemType(Mat, const PetscScalar *[], PetscMemType *);
691: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayReadAndMemType(Mat, const PetscScalar *[]);
692: PETSC_EXTERN PetscErrorCode MatDenseGetArrayWriteAndMemType(Mat, PetscScalar *[], PetscMemType *);
693: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayWriteAndMemType(Mat, PetscScalar *[]);
694: PETSC_EXTERN PetscErrorCode MatGetBlockSize(Mat, PetscInt *);
695: PETSC_EXTERN PetscErrorCode MatSetBlockSize(Mat, PetscInt);
696: PETSC_EXTERN PetscErrorCode MatGetBlockSizes(Mat, PetscInt *, PetscInt *);
697: PETSC_EXTERN PetscErrorCode MatSetBlockSizes(Mat, PetscInt, PetscInt);
698: PETSC_EXTERN PetscErrorCode MatSetBlockSizesFromMats(Mat, Mat, Mat);
699: PETSC_EXTERN PetscErrorCode MatSetVariableBlockSizes(Mat, PetscInt, const PetscInt[]);
700: PETSC_EXTERN PetscErrorCode MatGetVariableBlockSizes(Mat, PetscInt *, const PetscInt *[]);
702: PETSC_EXTERN PetscErrorCode MatDenseGetColumn(Mat, PetscInt, PetscScalar *[]);
703: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumn(Mat, PetscScalar *[]);
704: PETSC_EXTERN PetscErrorCode MatDenseGetColumnVec(Mat, PetscInt, Vec *);
705: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVec(Mat, PetscInt, Vec *);
706: PETSC_EXTERN PetscErrorCode MatDenseGetColumnVecRead(Mat, PetscInt, Vec *);
707: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVecRead(Mat, PetscInt, Vec *);
708: PETSC_EXTERN PetscErrorCode MatDenseGetColumnVecWrite(Mat, PetscInt, Vec *);
709: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVecWrite(Mat, PetscInt, Vec *);
710: PETSC_EXTERN PetscErrorCode MatDenseGetSubMatrix(Mat, PetscInt, PetscInt, PetscInt, PetscInt, Mat *);
711: PETSC_EXTERN PetscErrorCode MatDenseRestoreSubMatrix(Mat, Mat *);
713: PETSC_EXTERN PetscErrorCode MatMult(Mat, Vec, Vec);
714: PETSC_EXTERN PetscErrorCode MatMultDiagonalBlock(Mat, Vec, Vec);
715: PETSC_EXTERN PetscErrorCode MatMultAdd(Mat, Vec, Vec, Vec);
716: PETSC_EXTERN PetscErrorCode MatMultTranspose(Mat, Vec, Vec);
717: PETSC_EXTERN PetscErrorCode MatMultHermitianTranspose(Mat, Vec, Vec);
718: PETSC_EXTERN PetscErrorCode MatIsTranspose(Mat, Mat, PetscReal, PetscBool *);
719: PETSC_EXTERN PetscErrorCode MatIsHermitianTranspose(Mat, Mat, PetscReal, PetscBool *);
720: PETSC_EXTERN PetscErrorCode MatMultTransposeAdd(Mat, Vec, Vec, Vec);
721: PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeAdd(Mat, Vec, Vec, Vec);
722: PETSC_EXTERN PetscErrorCode MatMatSolve(Mat, Mat, Mat);
723: PETSC_EXTERN PetscErrorCode MatMatSolveTranspose(Mat, Mat, Mat);
724: PETSC_EXTERN PetscErrorCode MatMatTransposeSolve(Mat, Mat, Mat);
725: PETSC_EXTERN PetscErrorCode MatResidual(Mat, Vec, Vec, Vec);
727: /*E
728: MatDuplicateOption - Indicates if a duplicated sparse matrix should have
729: its numerical values copied over or just its nonzero structure.
731: Values:
732: + `MAT_DO_NOT_COPY_VALUES` - Create a matrix using the same nonzero pattern as the original matrix,
733: with zeros for the numerical values
734: . `MAT_COPY_VALUES` - Create a matrix with the same nonzero pattern as the original matrix
735: and with the same numerical values.
736: - `MAT_SHARE_NONZERO_PATTERN` - Create a matrix that shares the nonzero structure with the previous matrix
737: and does not copy it, using zeros for the numerical values. The parent and
738: child matrices will share their index (i and j) arrays, and you cannot
739: insert new nonzero entries into either matrix
741: Level: beginner
743: Note:
744: Many matrix types (including `MATSEQAIJ`) do not support the `MAT_SHARE_NONZERO_PATTERN` optimization; in
745: this case the behavior is as if `MAT_DO_NOT_COPY_VALUES` has been specified.
747: .seealso: [](ch_matrices), `Mat`, `MatDuplicate()`
748: E*/
749: typedef enum {
750: MAT_DO_NOT_COPY_VALUES,
751: MAT_COPY_VALUES,
752: MAT_SHARE_NONZERO_PATTERN
753: } MatDuplicateOption;
755: PETSC_EXTERN PetscErrorCode MatConvert(Mat, MatType, MatReuse, Mat *);
756: PETSC_EXTERN PetscErrorCode MatDuplicate(Mat, MatDuplicateOption, Mat *);
758: PETSC_EXTERN PetscErrorCode MatCopy(Mat, Mat, MatStructure);
759: PETSC_EXTERN PetscErrorCode MatView(Mat, PetscViewer);
760: PETSC_EXTERN PetscErrorCode MatIsSymmetric(Mat, PetscReal, PetscBool *);
761: PETSC_EXTERN PetscErrorCode MatIsStructurallySymmetric(Mat, PetscBool *);
762: PETSC_EXTERN PetscErrorCode MatIsHermitian(Mat, PetscReal, PetscBool *);
763: PETSC_EXTERN PetscErrorCode MatIsSymmetricKnown(Mat, PetscBool *, PetscBool *);
764: PETSC_EXTERN PetscErrorCode MatIsHermitianKnown(Mat, PetscBool *, PetscBool *);
765: PETSC_EXTERN PetscErrorCode MatIsStructurallySymmetricKnown(Mat, PetscBool *, PetscBool *);
766: PETSC_EXTERN PetscErrorCode MatIsSPDKnown(Mat, PetscBool *, PetscBool *);
767: PETSC_EXTERN PetscErrorCode MatMissingDiagonal(Mat, PetscBool *, PetscInt *);
768: PETSC_EXTERN PetscErrorCode MatLoad(Mat, PetscViewer);
770: PETSC_EXTERN PetscErrorCode MatGetRowIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *);
771: PETSC_EXTERN PetscErrorCode MatRestoreRowIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *);
772: PETSC_EXTERN PetscErrorCode MatGetColumnIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *);
773: PETSC_EXTERN PetscErrorCode MatRestoreColumnIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *);
775: /*S
776: MatInfo - Context of matrix information, used with `MatGetInfo()`
778: Level: intermediate
780: Fortran Note:
781: Information is stored as a double-precision array of dimension `MAT_INFO_SIZE`
783: .seealso: [](ch_matrices), `Mat`, `MatGetInfo()`, `MatInfoType`
784: S*/
785: typedef struct {
786: PetscLogDouble block_size; /* block size */
787: PetscLogDouble nz_allocated, nz_used, nz_unneeded; /* number of nonzeros */
788: PetscLogDouble memory; /* memory allocated */
789: PetscLogDouble assemblies; /* number of matrix assemblies called */
790: PetscLogDouble mallocs; /* number of mallocs during MatSetValues() */
791: PetscLogDouble fill_ratio_given, fill_ratio_needed; /* fill ratio for LU/ILU */
792: PetscLogDouble factor_mallocs; /* number of mallocs during factorization */
793: } MatInfo;
795: /*E
796: MatInfoType - Indicates if you want information about the local part of the matrix,
797: the entire parallel matrix or the maximum over all the local parts.
799: Values:
800: + `MAT_LOCAL` - values for each MPI process part of the matrix
801: . `MAT_GLOBAL_MAX` - maximum of each value over all MPI processes
802: - `MAT_GLOBAL_SUM` - sum of each value over all MPI processes
804: Level: beginner
806: .seealso: [](ch_matrices), `MatGetInfo()`, `MatInfo`
807: E*/
808: typedef enum {
809: MAT_LOCAL = 1,
810: MAT_GLOBAL_MAX = 2,
811: MAT_GLOBAL_SUM = 3
812: } MatInfoType;
813: PETSC_EXTERN PetscErrorCode MatGetInfo(Mat, MatInfoType, MatInfo *);
814: PETSC_EXTERN PetscErrorCode MatGetDiagonal(Mat, Vec);
815: PETSC_EXTERN PetscErrorCode MatGetRowMax(Mat, Vec, PetscInt[]);
816: PETSC_EXTERN PetscErrorCode MatGetRowMin(Mat, Vec, PetscInt[]);
817: PETSC_EXTERN PetscErrorCode MatGetRowMaxAbs(Mat, Vec, PetscInt[]);
818: PETSC_EXTERN PetscErrorCode MatGetRowSumAbs(Mat, Vec);
819: PETSC_EXTERN PetscErrorCode MatGetRowMinAbs(Mat, Vec, PetscInt[]);
820: PETSC_EXTERN PetscErrorCode MatGetRowSum(Mat, Vec);
821: PETSC_EXTERN PetscErrorCode MatTranspose(Mat, MatReuse, Mat *);
822: PETSC_EXTERN PetscErrorCode MatTransposeSymbolic(Mat, Mat *);
823: PETSC_EXTERN PetscErrorCode MatTransposeSetPrecursor(Mat, Mat);
824: PETSC_EXTERN PetscErrorCode MatHermitianTranspose(Mat, MatReuse, Mat *);
825: PETSC_EXTERN PetscErrorCode MatPermute(Mat, IS, IS, Mat *);
826: PETSC_EXTERN PetscErrorCode MatDiagonalScale(Mat, Vec, Vec);
827: PETSC_EXTERN PetscErrorCode MatDiagonalSet(Mat, Vec, InsertMode);
829: PETSC_EXTERN PetscErrorCode MatEqual(Mat, Mat, PetscBool *);
830: PETSC_EXTERN PetscErrorCode MatMultEqual(Mat, Mat, PetscInt, PetscBool *);
831: PETSC_EXTERN PetscErrorCode MatMultAddEqual(Mat, Mat, PetscInt, PetscBool *);
832: PETSC_EXTERN PetscErrorCode MatMultTransposeEqual(Mat, Mat, PetscInt, PetscBool *);
833: PETSC_EXTERN PetscErrorCode MatMultTransposeAddEqual(Mat, Mat, PetscInt, PetscBool *);
834: PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeEqual(Mat, Mat, PetscInt, PetscBool *);
835: PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeAddEqual(Mat, Mat, PetscInt, PetscBool *);
836: PETSC_EXTERN PetscErrorCode MatMatMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *);
837: PETSC_EXTERN PetscErrorCode MatTransposeMatMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *);
838: PETSC_EXTERN PetscErrorCode MatMatTransposeMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *);
839: PETSC_EXTERN PetscErrorCode MatPtAPMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *);
840: PETSC_EXTERN PetscErrorCode MatRARtMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *);
841: PETSC_EXTERN PetscErrorCode MatIsLinear(Mat, PetscInt, PetscBool *);
843: PETSC_EXTERN PetscErrorCode MatNorm(Mat, NormType, PetscReal *);
844: PETSC_EXTERN PetscErrorCode MatGetColumnNorms(Mat, NormType, PetscReal *);
845: PETSC_EXTERN PetscErrorCode MatGetColumnSums(Mat, PetscScalar *);
846: PETSC_EXTERN PetscErrorCode MatGetColumnSumsRealPart(Mat, PetscReal *);
847: PETSC_EXTERN PetscErrorCode MatGetColumnSumsImaginaryPart(Mat, PetscReal *);
848: PETSC_EXTERN PetscErrorCode MatGetColumnMeans(Mat, PetscScalar *);
849: PETSC_EXTERN PetscErrorCode MatGetColumnMeansRealPart(Mat, PetscReal *);
850: PETSC_EXTERN PetscErrorCode MatGetColumnMeansImaginaryPart(Mat, PetscReal *);
851: PETSC_EXTERN PetscErrorCode MatGetColumnReductions(Mat, PetscInt, PetscReal *);
852: PETSC_EXTERN PetscErrorCode MatZeroEntries(Mat);
853: PETSC_EXTERN PetscErrorCode MatSetInf(Mat);
854: PETSC_EXTERN PetscErrorCode MatZeroRows(Mat, PetscInt, const PetscInt[], PetscScalar, Vec, Vec);
855: PETSC_EXTERN PetscErrorCode MatZeroRowsIS(Mat, IS, PetscScalar, Vec, Vec);
856: PETSC_EXTERN PetscErrorCode MatZeroRowsStencil(Mat, PetscInt, const MatStencil[], PetscScalar, Vec, Vec);
857: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsStencil(Mat, PetscInt, const MatStencil[], PetscScalar, Vec, Vec);
858: PETSC_EXTERN PetscErrorCode MatZeroRowsColumns(Mat, PetscInt, const PetscInt[], PetscScalar, Vec, Vec);
859: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsIS(Mat, IS, PetscScalar, Vec, Vec);
861: PETSC_EXTERN PetscErrorCode MatGetSize(Mat, PetscInt *, PetscInt *);
862: PETSC_EXTERN PetscErrorCode MatGetLocalSize(Mat, PetscInt *, PetscInt *);
863: PETSC_EXTERN PetscErrorCode MatGetOwnershipRange(Mat, PetscInt *, PetscInt *);
864: PETSC_EXTERN PetscErrorCode MatGetOwnershipRanges(Mat, const PetscInt **);
865: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangeColumn(Mat, PetscInt *, PetscInt *);
866: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangesColumn(Mat, const PetscInt **);
867: PETSC_EXTERN PetscErrorCode MatGetOwnershipIS(Mat, IS *, IS *);
869: PETSC_EXTERN PetscErrorCode MatCreateSubMatrices(Mat, PetscInt, const IS[], const IS[], MatReuse, Mat *[]);
870: 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[])
871: {
872: return MatCreateSubMatrices(mat, n, irow, icol, scall, submat);
873: }
874: PETSC_EXTERN PetscErrorCode MatCreateSubMatricesMPI(Mat, PetscInt, const IS[], const IS[], MatReuse, Mat *[]);
875: 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[])
876: {
877: return MatCreateSubMatricesMPI(mat, n, irow, icol, scall, submat);
878: }
879: PETSC_EXTERN PetscErrorCode MatDestroyMatrices(PetscInt, Mat *[]);
880: PETSC_EXTERN PetscErrorCode MatDestroySubMatrices(PetscInt, Mat *[]);
881: PETSC_EXTERN PetscErrorCode MatCreateSubMatrix(Mat, IS, IS, MatReuse, Mat *);
882: PETSC_DEPRECATED_FUNCTION(3, 8, 0, "MatCreateSubMatrix()", ) static inline PetscErrorCode MatGetSubMatrix(Mat mat, IS isrow, IS iscol, MatReuse cll, Mat *newmat)
883: {
884: return MatCreateSubMatrix(mat, isrow, iscol, cll, newmat);
885: }
886: PETSC_EXTERN PetscErrorCode MatGetLocalSubMatrix(Mat, IS, IS, Mat *);
887: PETSC_EXTERN PetscErrorCode MatRestoreLocalSubMatrix(Mat, IS, IS, Mat *);
888: PETSC_EXTERN PetscErrorCode MatGetSeqNonzeroStructure(Mat, Mat *);
889: PETSC_EXTERN PetscErrorCode MatDestroySeqNonzeroStructure(Mat *);
891: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJ(MPI_Comm, Mat, PetscInt, PetscInt, MatReuse, Mat *);
892: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJSymbolic(MPI_Comm, Mat, PetscInt, PetscInt, Mat *);
893: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJNumeric(Mat, Mat);
894: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMat(Mat, MatReuse, Mat *);
895: PETSC_EXTERN PetscErrorCode MatAIJGetLocalMat(Mat, Mat *);
896: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMatCondensed(Mat, MatReuse, IS *, IS *, Mat *);
897: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMatMerge(Mat, MatReuse, IS *, Mat *);
898: PETSC_EXTERN PetscErrorCode MatMPIAIJGetNumberNonzeros(Mat, PetscCount *);
899: PETSC_EXTERN PetscErrorCode MatGetBrowsOfAcols(Mat, Mat, MatReuse, IS *, IS *, Mat *);
900: PETSC_EXTERN PetscErrorCode MatGetGhosts(Mat, PetscInt *, const PetscInt *[]);
902: PETSC_EXTERN PetscErrorCode MatIncreaseOverlap(Mat, PetscInt, IS[], PetscInt);
903: PETSC_EXTERN PetscErrorCode MatIncreaseOverlapSplit(Mat mat, PetscInt n, IS is[], PetscInt ov);
904: PETSC_EXTERN PetscErrorCode MatMPIAIJSetUseScalableIncreaseOverlap(Mat, PetscBool);
906: PETSC_EXTERN PetscErrorCode MatMatMult(Mat, Mat, MatReuse, PetscReal, Mat *);
908: PETSC_EXTERN PetscErrorCode MatMatMatMult(Mat, Mat, Mat, MatReuse, PetscReal, Mat *);
909: PETSC_EXTERN PetscErrorCode MatGalerkin(Mat, Mat, Mat, MatReuse, PetscReal, Mat *);
911: PETSC_EXTERN PetscErrorCode MatPtAP(Mat, Mat, MatReuse, PetscReal, Mat *);
912: PETSC_EXTERN PetscErrorCode MatRARt(Mat, Mat, MatReuse, PetscReal, Mat *);
914: PETSC_EXTERN PetscErrorCode MatTransposeMatMult(Mat, Mat, MatReuse, PetscReal, Mat *);
915: PETSC_EXTERN PetscErrorCode MatMatTransposeMult(Mat, Mat, MatReuse, PetscReal, Mat *);
917: PETSC_EXTERN PetscErrorCode MatAXPY(Mat, PetscScalar, Mat, MatStructure);
918: PETSC_EXTERN PetscErrorCode MatAYPX(Mat, PetscScalar, Mat, MatStructure);
920: PETSC_EXTERN PetscErrorCode MatScale(Mat, PetscScalar);
921: PETSC_EXTERN PetscErrorCode MatShift(Mat, PetscScalar);
923: PETSC_EXTERN PetscErrorCode MatSetLocalToGlobalMapping(Mat, ISLocalToGlobalMapping, ISLocalToGlobalMapping);
924: PETSC_EXTERN PetscErrorCode MatGetLocalToGlobalMapping(Mat, ISLocalToGlobalMapping *, ISLocalToGlobalMapping *);
925: PETSC_EXTERN PetscErrorCode MatGetLayouts(Mat, PetscLayout *, PetscLayout *);
926: PETSC_EXTERN PetscErrorCode MatSetLayouts(Mat, PetscLayout, PetscLayout);
927: PETSC_EXTERN PetscErrorCode MatZeroRowsLocal(Mat, PetscInt, const PetscInt[], PetscScalar, Vec, Vec);
928: PETSC_EXTERN PetscErrorCode MatZeroRowsLocalIS(Mat, IS, PetscScalar, Vec, Vec);
929: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocal(Mat, PetscInt, const PetscInt[], PetscScalar, Vec, Vec);
930: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocalIS(Mat, IS, PetscScalar, Vec, Vec);
931: PETSC_EXTERN PetscErrorCode MatGetValuesLocal(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], PetscScalar[]);
932: PETSC_EXTERN PetscErrorCode MatSetValuesLocal(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
933: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedLocal(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
935: PETSC_EXTERN PetscErrorCode MatStashSetInitialSize(Mat, PetscInt, PetscInt);
936: PETSC_EXTERN PetscErrorCode MatStashGetInfo(Mat, PetscInt *, PetscInt *, PetscInt *, PetscInt *);
938: PETSC_EXTERN PetscErrorCode MatInterpolate(Mat, Vec, Vec);
939: PETSC_EXTERN PetscErrorCode MatInterpolateAdd(Mat, Vec, Vec, Vec);
940: PETSC_EXTERN PetscErrorCode MatRestrict(Mat, Vec, Vec);
941: PETSC_EXTERN PetscErrorCode MatMatInterpolate(Mat, Mat, Mat *);
942: PETSC_EXTERN PetscErrorCode MatMatInterpolateAdd(Mat, Mat, Mat, Mat *);
943: PETSC_EXTERN PetscErrorCode MatMatRestrict(Mat, Mat, Mat *);
944: PETSC_EXTERN PetscErrorCode MatCreateVecs(Mat, Vec *, Vec *);
945: PETSC_DEPRECATED_FUNCTION(3, 6, 0, "MatCreateVecs()", ) static inline PetscErrorCode MatGetVecs(Mat mat, Vec *x, Vec *y)
946: {
947: return MatCreateVecs(mat, x, y);
948: }
949: PETSC_EXTERN PetscErrorCode MatCreateRedundantMatrix(Mat, PetscInt, MPI_Comm, MatReuse, Mat *);
950: PETSC_EXTERN PetscErrorCode MatGetMultiProcBlock(Mat, MPI_Comm, MatReuse, Mat *);
951: PETSC_EXTERN PetscErrorCode MatFindZeroDiagonals(Mat, IS *);
952: PETSC_EXTERN PetscErrorCode MatFindOffBlockDiagonalEntries(Mat, IS *);
953: PETSC_EXTERN PetscErrorCode MatCreateMPIMatConcatenateSeqMat(MPI_Comm, Mat, PetscInt, MatReuse, Mat *);
955: /*@C
956: MatSetValue - Set a single entry into a matrix.
958: Not Collective
960: Input Parameters:
961: + mat - the matrix
962: . i - the row location of the entry
963: . j - the column location of the entry
964: . va - the value to insert
965: - mode - either `INSERT_VALUES` or `ADD_VALUES`
967: Level: beginner
969: Notes:
970: This value may be cached, so `MatAssemblyBegin()` and `MatAssemblyEnd()`
971: MUST be called after all calls to `MatSetValue()` have been completed.
973: For efficiency one should use `MatSetValues()` and set several values simultaneously.
975: .seealso: [](ch_matrices), `Mat`, `MatAssemblyBegin()`, `MatAssemblyEnd()`, `InsertMode`, `MatGetValue()`, `MatSetValues()`,
976: `MatSetValueLocal()`, `MatSetValuesLocal()`
977: @*/
978: static inline PetscErrorCode MatSetValue(Mat mat, PetscInt i, PetscInt j, PetscScalar va, InsertMode mode)
979: {
980: return MatSetValues(mat, 1, &i, 1, &j, &va, mode);
981: }
983: /*@C
984: MatGetValue - Gets a single value from a matrix
986: Not Collective; can only return a value owned by the given process
988: Input Parameters:
989: + mat - the matrix
990: . row - the row location of the entry
991: - col - the column location of the entry
993: Output Parameter:
994: . va - the value
996: Level: advanced
998: Notes:
999: The matrix must have been assembled with `MatAssemblyBegin()` and `MatAssemblyEnd()` before this call
1001: For efficiency one should use `MatGetValues()` and get several values simultaneously.
1003: See notes for `MatGetValues()`.
1005: .seealso: [](ch_matrices), `Mat`, `MatAssemblyBegin()`, `MatAssemblyEnd()`, `MatSetValue()`, `MatGetValueLocal()`, `MatGetValues()`
1006: @*/
1007: static inline PetscErrorCode MatGetValue(Mat mat, PetscInt row, PetscInt col, PetscScalar *va)
1008: {
1009: return MatGetValues(mat, 1, &row, 1, &col, va);
1010: }
1012: /*@C
1013: MatSetValueLocal - Inserts or adds a single value into a matrix, using a local numbering of the nodes.
1015: Not Collective
1017: Input Parameters:
1018: + mat - the matrix
1019: . i - the row location of the entry
1020: . j - the column location of the entry
1021: . va - the value to insert
1022: - mode - either `INSERT_VALUES` or `ADD_VALUES`
1024: Level: intermediate
1026: Notes:
1027: For efficiency one should use `MatSetValuesLocal()` and set several values simultaneously.
1029: See notes for `MatSetValuesLocal()` for additional information on when and how this function can be used.
1031: .seealso: [](ch_matrices), `MatSetValue()`, `MatSetValuesLocal()`
1032: @*/
1033: static inline PetscErrorCode MatSetValueLocal(Mat mat, PetscInt i, PetscInt j, PetscScalar va, InsertMode mode)
1034: {
1035: return MatSetValuesLocal(mat, 1, &i, 1, &j, &va, mode);
1036: }
1038: /*MC
1039: MatPreallocateBegin - Begins the block of code that will count the number of nonzeros per
1040: row in a matrix providing the data that one can use to correctly preallocate the matrix.
1042: Synopsis:
1043: #include <petscmat.h>
1044: PetscErrorCode MatPreallocateBegin(MPI_Comm comm, PetscInt nrows, PetscInt ncols, PetscInt *dnz, PetscInt *onz)
1046: Collective
1048: Input Parameters:
1049: + comm - the communicator that will share the eventually allocated matrix
1050: . nrows - the number of LOCAL rows in the matrix
1051: - ncols - the number of LOCAL columns in the matrix
1053: Output Parameters:
1054: + dnz - the array that will be passed to the matrix preallocation routines
1055: - onz - the other array passed to the matrix preallocation routines
1057: Level: deprecated (since v3.19)
1059: Notes:
1060: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1061: the use of this routine
1063: This is a macro that handles its own error checking, it does not return an error code.
1065: Do not malloc or free `dnz` and `onz`, that is handled internally by these routines
1067: Developer Note:
1068: This is a MACRO, not a function, because it has a leading { that is closed by `PetscPreallocateFinalize()`.
1070: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`, `MatPreallocateSetLocal()`,
1071: `MatPreallocateSymmetricSetLocalBlock()`
1072: M*/
1073: #define MatPreallocateBegin(comm, nrows, ncols, dnz, onz) \
1074: do { \
1075: PetscInt __nrows = (nrows), __ncols = (ncols), __rstart, __end = 0; \
1076: PetscInt PETSC_UNUSED __start; \
1077: PetscCall(PetscCalloc2(__nrows, &(dnz), __nrows, &(onz))); \
1078: PetscCallMPI(MPI_Scan(&__ncols, &__end, 1, MPIU_INT, MPI_SUM, comm)); \
1079: __start = __end - __ncols; \
1080: (void)__start; \
1081: PetscCallMPI(MPI_Scan(&__nrows, &__rstart, 1, MPIU_INT, MPI_SUM, comm)); \
1082: __rstart -= __nrows
1084: #define MatPreallocateInitialize(...) PETSC_DEPRECATED_MACRO(3, 18, 0, "MatPreallocateBegin()", ) MatPreallocateBegin(__VA_ARGS__)
1086: /*MC
1087: MatPreallocateSetLocal - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1088: inserted using a local number of the rows and columns
1090: Synopsis:
1091: #include <petscmat.h>
1092: PetscErrorCode MatPreallocateSetLocal(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1094: Not Collective
1096: Input Parameters:
1097: + map - the row mapping from local numbering to global numbering
1098: . nrows - the number of rows indicated
1099: . rows - the indices of the rows
1100: . cmap - the column mapping from local to global numbering
1101: . ncols - the number of columns in the matrix
1102: . cols - the columns indicated
1103: . dnz - the array that will be passed to the matrix preallocation routines
1104: - onz - the other array passed to the matrix preallocation routines
1106: Level: deprecated (since v3.19)
1108: Notes:
1109: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1110: the use of this routine
1112: Do not malloc or free `dnz` and `onz`, that is handled internally by these routines
1114: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`
1115: `MatPreallocateBegin()`, `MatPreallocateSymmetricSetLocalBlock()`, `MatPreallocateSetLocalRemoveDups()`
1116: M*/
1117: #define MatPreallocateSetLocal(rmap, nrows, rows, cmap, ncols, cols, dnz, onz) \
1118: 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));)
1120: /*MC
1121: MatPreallocateSetLocalRemoveDups - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1122: inserted using a local number of the rows and columns. This version removes any duplicate columns in cols
1124: Synopsis:
1125: #include <petscmat.h>
1126: PetscErrorCode MatPreallocateSetLocalRemoveDups(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1128: Not Collective
1130: Input Parameters:
1131: + map - the row mapping from local numbering to global numbering
1132: . nrows - the number of rows indicated
1133: . rows - the indices of the rows (these values are mapped to the global values)
1134: . cmap - the column mapping from local to global numbering
1135: . ncols - the number of columns in the matrix (this value will be changed if duplicate columns are found)
1136: . cols - the columns indicated (these values are mapped to the global values, they are then sorted and duplicates removed)
1137: . dnz - the array that will be passed to the matrix preallocation routines
1138: - onz - the other array passed to the matrix preallocation routines
1140: Level: deprecated (since v3.19)
1142: Notes:
1143: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1144: the use of this routine
1146: Do not malloc or free `dnz` and `onz`, that is handled internally by these routines
1148: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`
1149: `MatPreallocateBegin()`, `MatPreallocateSymmetricSetLocalBlock()`, `MatPreallocateSetLocal()`
1150: M*/
1151: #define MatPreallocateSetLocalRemoveDups(rmap, nrows, rows, cmap, ncols, cols, dnz, onz) \
1152: 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));)
1154: /*MC
1155: MatPreallocateSetLocalBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1156: inserted using a local number of the rows and columns
1158: Synopsis:
1159: #include <petscmat.h>
1160: PetscErrorCode MatPreallocateSetLocalBlock(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1162: Not Collective
1164: Input Parameters:
1165: + map - the row mapping from local numbering to global numbering
1166: . nrows - the number of rows indicated
1167: . rows - the indices of the rows
1168: . cmap - the column mapping from local to global numbering
1169: . ncols - the number of columns in the matrix
1170: . cols - the columns indicated
1171: . dnz - the array that will be passed to the matrix preallocation routines
1172: - onz - the other array passed to the matrix preallocation routines
1174: Level: deprecated (since v3.19)
1176: Notes:
1177: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1178: the use of this routine
1180: Do not malloc or free `dnz` and `onz`, that is handled internally by these routines
1182: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`
1183: `MatPreallocateBegin()`, `MatPreallocateSymmetricSetLocalBlock()`
1184: M*/
1185: #define MatPreallocateSetLocalBlock(rmap, nrows, rows, cmap, ncols, cols, dnz, onz) \
1186: 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));)
1188: /*MC
1189: MatPreallocateSymmetricSetLocalBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1190: inserted using a local number of the rows and columns
1192: Synopsis:
1193: #include <petscmat.h>
1194: PetscErrorCode MatPreallocateSymmetricSetLocalBlock(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1196: Not Collective
1198: Input Parameters:
1199: + map - the mapping between local numbering and global numbering
1200: . nrows - the number of rows indicated
1201: . rows - the indices of the rows
1202: . ncols - the number of columns in the matrix
1203: . cols - the columns indicated
1204: . dnz - the array that will be passed to the matrix preallocation routines
1205: - onz - the other array passed to the matrix preallocation routines
1207: Level: deprecated (since v3.19)
1209: Notes:
1210: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1211: the use of this routine
1213: Do not malloc or free `dnz` and `onz` that is handled internally by these routines
1215: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`
1216: `MatPreallocateBegin()`, `MatPreallocateSetLocal()`
1217: M*/
1218: #define MatPreallocateSymmetricSetLocalBlock(map, nrows, rows, ncols, cols, dnz, onz) \
1219: 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));)
1221: /*MC
1222: MatPreallocateSet - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1223: inserted using a local number of the rows and columns
1225: Synopsis:
1226: #include <petscmat.h>
1227: PetscErrorCode MatPreallocateSet(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1229: Not Collective
1231: Input Parameters:
1232: + row - the row
1233: . ncols - the number of columns in the matrix
1234: - cols - the columns indicated
1236: Output Parameters:
1237: + dnz - the array that will be passed to the matrix preallocation routines
1238: - onz - the other array passed to the matrix preallocation routines
1240: Level: deprecated (since v3.19)
1242: Notes:
1243: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1244: the use of this routine
1246: Do not malloc or free `dnz` and `onz` that is handled internally by these routines
1248: This is a MACRO, not a function, because it uses variables declared in MatPreallocateBegin().
1250: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`
1251: `MatPreallocateBegin()`, `MatPreallocateSetLocal()`
1252: M*/
1253: #define MatPreallocateSet(row, nc, cols, dnz, onz) \
1254: 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) { \
1255: if ((cols)[__i] < __start || (cols)[__i] >= __end) onz[row - __rstart]++; \
1256: else if (dnz[row - __rstart] < __ncols) dnz[row - __rstart]++; \
1257: })
1259: /*MC
1260: MatPreallocateSymmetricSetBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1261: inserted using a local number of the rows and columns
1263: Synopsis:
1264: #include <petscmat.h>
1265: PetscErrorCode MatPreallocateSymmetricSetBlock(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1267: Not Collective
1269: Input Parameters:
1270: + nrows - the number of rows indicated
1271: . rows - the indices of the rows
1272: . ncols - the number of columns in the matrix
1273: . cols - the columns indicated
1274: . dnz - the array that will be passed to the matrix preallocation routines
1275: - onz - the other array passed to the matrix preallocation routines
1277: Level: deprecated (since v3.19)
1279: Notes:
1280: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1281: the use of this routine
1283: Do not malloc or free `dnz` and `onz` that is handled internally by these routines
1285: This is a MACRO, not a function, because it uses variables declared in MatPreallocateBegin().
1287: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateBegin()`,
1288: `MatPreallocateSymmetricSetLocalBlock()`, `MatPreallocateSetLocal()`
1289: M*/
1290: #define MatPreallocateSymmetricSetBlock(row, nc, cols, dnz, onz) \
1291: PetscMacroReturnStandard(for (PetscInt __i = 0; __i < nc; __i++) { \
1292: if (cols[__i] >= __end) onz[row - __rstart]++; \
1293: else if (cols[__i] >= row && dnz[row - __rstart] < __ncols) dnz[row - __rstart]++; \
1294: })
1296: /*MC
1297: MatPreallocateLocation - An alternative to MatPreallocateSet() that puts the nonzero locations into the matrix if it exists
1299: Synopsis:
1300: #include <petscmat.h>
1301: PetscErrorCode MatPreallocateLocations(Mat A,PetscInt row,PetscInt ncols,PetscInt *cols,PetscInt *dnz,PetscInt *onz)
1303: Not Collective
1305: Input Parameters:
1306: + A - matrix
1307: . row - row where values exist (must be local to this process)
1308: . ncols - number of columns
1309: . cols - columns with nonzeros
1310: . dnz - the array that will be passed to the matrix preallocation routines
1311: - onz - the other array passed to the matrix preallocation routines
1313: Level: deprecated (since v3.19)
1315: Notes:
1316: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1317: the use of this routine
1319: Do not malloc or free `dnz` and `onz` that is handled internally by these routines
1321: Developer Note:
1322: This is a MACRO, not a function, because it uses a bunch of variables private to the MatPreallocation.... routines.
1324: .seealso: [](ch_matrices), `MatPreallocateBegin()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`, `MatPreallocateSetLocal()`,
1325: `MatPreallocateSymmetricSetLocalBlock()`
1326: M*/
1327: #define MatPreallocateLocation(A, row, ncols, cols, dnz, onz) (A ? MatSetValues(A, 1, &row, ncols, cols, NULL, INSERT_VALUES) : MatPreallocateSet(row, ncols, cols, dnz, onz))
1329: /*MC
1330: MatPreallocateEnd - Ends the block of code that will count the number of nonzeros per
1331: row in a matrix providing the data that one can use to correctly preallocate the matrix.
1333: Synopsis:
1334: #include <petscmat.h>
1335: PetscErrorCode MatPreallocateEnd(PetscInt *dnz, PetscInt *onz)
1337: Collective
1339: Input Parameters:
1340: + dnz - the array that was be passed to the matrix preallocation routines
1341: - onz - the other array passed to the matrix preallocation routines
1343: Level: deprecated (since v3.19)
1345: Notes:
1346: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1347: the use of this routine
1349: Do not malloc or free `dnz` and `onz`, that is handled internally by these routines
1351: Developer Note:
1352: This is a MACRO, not a function, because it closes the { started in MatPreallocateBegin().
1354: .seealso: [](ch_matrices), `MatPreallocateBegin()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`, `MatPreallocateSetLocal()`,
1355: `MatPreallocateSymmetricSetLocalBlock()`
1356: M*/
1357: #define MatPreallocateEnd(dnz, onz) \
1358: PetscCall(PetscFree2(dnz, onz)); \
1359: } \
1360: while (0)
1362: #define MatPreallocateFinalize(...) PETSC_DEPRECATED_MACRO(3, 18, 0, "MatPreallocateEnd()", ) MatPreallocateEnd(__VA_ARGS__)
1364: /* Routines unique to particular data structures */
1365: PETSC_EXTERN PetscErrorCode MatShellGetContext(Mat, void *);
1367: PETSC_EXTERN PetscErrorCode MatInodeAdjustForInodes(Mat, IS *, IS *);
1368: PETSC_EXTERN PetscErrorCode MatInodeGetInodeSizes(Mat, PetscInt *, PetscInt *[], PetscInt *);
1370: PETSC_EXTERN PetscErrorCode MatSeqAIJSetColumnIndices(Mat, PetscInt[]);
1371: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetColumnIndices(Mat, PetscInt[]);
1372: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], Mat *);
1373: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], Mat *);
1374: PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], Mat *);
1375: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJFromTriple(MPI_Comm, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], Mat *, PetscInt, PetscBool);
1377: #define MAT_SKIP_ALLOCATION -4
1379: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[]);
1380: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[]);
1381: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocation(Mat, PetscInt, const PetscInt[]);
1382: PETSC_EXTERN PetscErrorCode MatSeqAIJSetTotalPreallocation(Mat, PetscInt);
1384: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
1385: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
1386: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocation(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
1387: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocationCSR(Mat, const PetscInt[], const PetscInt[], const PetscScalar[]);
1388: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocationCSR(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]);
1389: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocationCSR(Mat, const PetscInt[], const PetscInt[], const PetscScalar[]);
1390: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocationCSR(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]);
1391: PETSC_EXTERN PetscErrorCode MatMPIAdjSetPreallocation(Mat, PetscInt[], PetscInt[], PetscInt[]);
1392: PETSC_EXTERN PetscErrorCode MatMPIAdjToSeq(Mat, Mat *);
1393: PETSC_EXTERN PetscErrorCode MatMPIAdjToSeqRankZero(Mat, Mat *);
1394: PETSC_EXTERN PetscErrorCode MatMPIDenseSetPreallocation(Mat, PetscScalar[]);
1395: PETSC_EXTERN PetscErrorCode MatSeqDenseSetPreallocation(Mat, PetscScalar[]);
1396: PETSC_EXTERN PetscErrorCode MatMPIAIJGetSeqAIJ(Mat, Mat *, Mat *, const PetscInt *[]);
1397: PETSC_EXTERN PetscErrorCode MatMPIBAIJGetSeqBAIJ(Mat, Mat *, Mat *, const PetscInt *[]);
1398: PETSC_EXTERN PetscErrorCode MatMPIAdjCreateNonemptySubcommMat(Mat, Mat *);
1400: PETSC_EXTERN PetscErrorCode MatDenseGetLDA(Mat, PetscInt *);
1401: PETSC_EXTERN PetscErrorCode MatDenseSetLDA(Mat, PetscInt);
1402: PETSC_DEPRECATED_FUNCTION(3, 14, 0, "MatDenseSetLDA()", ) static inline PetscErrorCode MatSeqDenseSetLDA(Mat A, PetscInt lda)
1403: {
1404: return MatDenseSetLDA(A, lda);
1405: }
1406: PETSC_EXTERN PetscErrorCode MatDenseGetLocalMatrix(Mat, Mat *);
1408: PETSC_EXTERN PetscErrorCode MatBlockMatSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[]);
1410: PETSC_EXTERN PetscErrorCode MatStoreValues(Mat);
1411: PETSC_EXTERN PetscErrorCode MatRetrieveValues(Mat);
1413: PETSC_EXTERN PetscErrorCode MatFindNonzeroRows(Mat, IS *);
1414: PETSC_EXTERN PetscErrorCode MatFindZeroRows(Mat, IS *);
1415: /*
1416: These routines are not usually accessed directly, rather solving is
1417: done through the KSP and PC interfaces.
1418: */
1420: /*J
1421: MatOrderingType - String with the name of a PETSc matrix ordering. These orderings are most commonly used
1422: to reduce fill in sparse factorizations.
1424: Level: beginner
1426: Notes:
1427: If `MATORDERINGEXTERNAL` is used then PETSc does not compute an ordering and instead the external factorization solver package called utilizes one
1428: of its own.
1430: There is no `MatOrdering` object, the ordering is obtained directly from the matrix with `MatGetOrdering()`
1432: Developer Note:
1433: This API should be converted to an API similar to those for `MatColoring` and `MatPartitioning`
1435: .seealso: [](ch_matrices), [](sec_graph), `MatGetFactor()`, `MatGetOrdering()`, `MatColoringType`, `MatPartitioningType`, `MatCoarsenType`, `MatCoarsenType`,
1436: `PCFactorSetOrderingType()`
1437: J*/
1438: typedef const char *MatOrderingType;
1439: #define MATORDERINGNATURAL "natural"
1440: #define MATORDERINGND "nd"
1441: #define MATORDERING1WD "1wd"
1442: #define MATORDERINGRCM "rcm"
1443: #define MATORDERINGQMD "qmd"
1444: #define MATORDERINGROWLENGTH "rowlength"
1445: #define MATORDERINGWBM "wbm"
1446: #define MATORDERINGSPECTRAL "spectral"
1447: #define MATORDERINGAMD "amd" /* only works if UMFPACK is installed with PETSc */
1448: #define MATORDERINGMETISND "metisnd" /* only works if METIS is installed with PETSc */
1449: #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 */
1450: #define MATORDERINGEXTERNAL "external" /* uses an ordering type internal to the factorization package */
1452: PETSC_EXTERN PetscErrorCode MatGetOrdering(Mat, MatOrderingType, IS *, IS *);
1453: PETSC_EXTERN PetscErrorCode MatGetOrderingList(PetscFunctionList *);
1454: PETSC_EXTERN PetscErrorCode MatOrderingRegister(const char[], PetscErrorCode (*)(Mat, MatOrderingType, IS *, IS *));
1455: PETSC_EXTERN PetscFunctionList MatOrderingList;
1457: #include "petscmatcoarsen.h"
1459: PETSC_EXTERN PetscErrorCode MatReorderForNonzeroDiagonal(Mat, PetscReal, IS, IS);
1460: PETSC_EXTERN PetscErrorCode MatCreateLaplacian(Mat, PetscReal, PetscBool, Mat *);
1462: PETSC_EXTERN PetscErrorCode MatFactorGetPreferredOrdering(Mat, MatFactorType, MatOrderingType *);
1464: /*S
1465: MatFactorShiftType - Type of numeric shift used for factorizations
1467: Values:
1468: + `MAT_SHIFT_NONE` - do not shift the matrix diagonal entries
1469: . `MAT_SHIFT_NONZERO` - shift the entries to be non-zero
1470: . `MAT_SHIFT_POSITIVE_DEFINITE` - shift the entries to force the factorization to be positive definite
1471: - `MAT_SHIFT_INBLOCKS` - only shift the factors inside the small dense diagonal blocks of the matrix, for example with `MATBAIJ`
1473: Level: intermediate
1475: .seealso: [](ch_matrices), `Mat`, `MatGetFactor()`, `PCFactorSetShiftType()`
1476: S*/
1477: typedef enum {
1478: MAT_SHIFT_NONE,
1479: MAT_SHIFT_NONZERO,
1480: MAT_SHIFT_POSITIVE_DEFINITE,
1481: MAT_SHIFT_INBLOCKS
1482: } MatFactorShiftType;
1483: PETSC_EXTERN const char *const MatFactorShiftTypes[];
1484: PETSC_EXTERN const char *const MatFactorShiftTypesDetail[];
1486: /*S
1487: MatFactorError - indicates what type of error was generated in a matrix factorization
1489: Values:
1490: + `MAT_FACTOR_NOERROR` - there was no error during the factorization
1491: . `MAT_FACTOR_STRUCT_ZEROPIVOT` - there was a missing entry in a diagonal location of the matrix
1492: . `MAT_FACTOR_NUMERIC_ZEROPIVOT` - there was a (near) zero pivot during the factorization
1493: . `MAT_FACTOR_OUTMEMORY` - the factorization has run out of memory
1494: - `MAT_FACTOR_OTHER` - some other error has occurred.
1496: Level: intermediate
1498: Note:
1499: When a factorization is done in a preconditioner `PC` the error may be propagated up to a `PCFailedReason` or a `KSPConvergedReason`
1501: .seealso: [](ch_matrices), `Mat`, `MatGetFactor()`, `MatFactorGetError()`, `MatFactorGetErrorZeroPivot()`, `MatFactorClearError()`,
1502: `PCFailedReason`, `PCGetFailedReason()`, `KSPConvergedReason`
1503: S*/
1504: typedef enum {
1505: MAT_FACTOR_NOERROR,
1506: MAT_FACTOR_STRUCT_ZEROPIVOT,
1507: MAT_FACTOR_NUMERIC_ZEROPIVOT,
1508: MAT_FACTOR_OUTMEMORY,
1509: MAT_FACTOR_OTHER
1510: } MatFactorError;
1512: PETSC_EXTERN PetscErrorCode MatFactorGetError(Mat, MatFactorError *);
1513: PETSC_EXTERN PetscErrorCode MatFactorClearError(Mat);
1514: PETSC_EXTERN PetscErrorCode MatFactorGetErrorZeroPivot(Mat, PetscReal *, PetscInt *);
1516: /*S
1517: MatFactorInfo - Data passed into the matrix factorization routines, and information about the resulting factorization
1519: Level: developer
1521: Note:
1522: You can use `MatFactorInfoInitialize()` to set default values.
1524: Fortran Note:
1525: The data is available in a double precision arrays of size `MAT_FACTORINFO_SIZE`
1527: .seealso: [](ch_matrices), `Mat`, `MatInfo`, `MatGetFactor()`, `MatLUFactorSymbolic()`, `MatILUFactorSymbolic()`, `MatCholeskyFactorSymbolic()`,
1528: `MatICCFactorSymbolic()`, `MatICCFactor()`, `MatFactorInfoInitialize()`
1529: S*/
1530: typedef struct {
1531: PetscReal diagonal_fill; /* force diagonal to fill in if initially not filled */
1532: PetscReal usedt;
1533: PetscReal dt; /* drop tolerance */
1534: PetscReal dtcol; /* tolerance for pivoting */
1535: PetscReal dtcount; /* maximum nonzeros to be allowed per row */
1536: PetscReal fill; /* expected fill, nonzeros in factored matrix/nonzeros in original matrix */
1537: PetscReal levels; /* ICC/ILU(levels) */
1538: PetscReal pivotinblocks; /* for BAIJ and SBAIJ matrices pivot in factorization on blocks, default 1.0
1539: factorization may be faster if do not pivot */
1540: PetscReal zeropivot; /* pivot is called zero if less than this */
1541: PetscReal shifttype; /* type of shift added to matrix factor to prevent zero pivots */
1542: PetscReal shiftamount; /* how large the shift is */
1543: } MatFactorInfo;
1545: PETSC_EXTERN PetscErrorCode MatFactorInfoInitialize(MatFactorInfo *);
1546: PETSC_EXTERN PetscErrorCode MatCholeskyFactor(Mat, IS, const MatFactorInfo *);
1547: PETSC_EXTERN PetscErrorCode MatCholeskyFactorSymbolic(Mat, Mat, IS, const MatFactorInfo *);
1548: PETSC_EXTERN PetscErrorCode MatCholeskyFactorNumeric(Mat, Mat, const MatFactorInfo *);
1549: PETSC_EXTERN PetscErrorCode MatLUFactor(Mat, IS, IS, const MatFactorInfo *);
1550: PETSC_EXTERN PetscErrorCode MatILUFactor(Mat, IS, IS, const MatFactorInfo *);
1551: PETSC_EXTERN PetscErrorCode MatLUFactorSymbolic(Mat, Mat, IS, IS, const MatFactorInfo *);
1552: PETSC_EXTERN PetscErrorCode MatILUFactorSymbolic(Mat, Mat, IS, IS, const MatFactorInfo *);
1553: PETSC_EXTERN PetscErrorCode MatICCFactorSymbolic(Mat, Mat, IS, const MatFactorInfo *);
1554: PETSC_EXTERN PetscErrorCode MatICCFactor(Mat, IS, const MatFactorInfo *);
1555: PETSC_EXTERN PetscErrorCode MatLUFactorNumeric(Mat, Mat, const MatFactorInfo *);
1556: PETSC_EXTERN PetscErrorCode MatQRFactor(Mat, IS, const MatFactorInfo *);
1557: PETSC_EXTERN PetscErrorCode MatQRFactorSymbolic(Mat, Mat, IS, const MatFactorInfo *);
1558: PETSC_EXTERN PetscErrorCode MatQRFactorNumeric(Mat, Mat, const MatFactorInfo *);
1559: PETSC_EXTERN PetscErrorCode MatGetInertia(Mat, PetscInt *, PetscInt *, PetscInt *);
1560: PETSC_EXTERN PetscErrorCode MatSolve(Mat, Vec, Vec);
1561: PETSC_EXTERN PetscErrorCode MatForwardSolve(Mat, Vec, Vec);
1562: PETSC_EXTERN PetscErrorCode MatBackwardSolve(Mat, Vec, Vec);
1563: PETSC_EXTERN PetscErrorCode MatSolveAdd(Mat, Vec, Vec, Vec);
1564: PETSC_EXTERN PetscErrorCode MatSolveTranspose(Mat, Vec, Vec);
1565: PETSC_EXTERN PetscErrorCode MatSolveTransposeAdd(Mat, Vec, Vec, Vec);
1566: PETSC_EXTERN PetscErrorCode MatSolves(Mat, Vecs, Vecs);
1567: PETSC_EXTERN PetscErrorCode MatSetUnfactored(Mat);
1569: typedef enum {
1570: MAT_FACTOR_SCHUR_UNFACTORED,
1571: MAT_FACTOR_SCHUR_FACTORED,
1572: MAT_FACTOR_SCHUR_INVERTED
1573: } MatFactorSchurStatus;
1574: PETSC_EXTERN PetscErrorCode MatFactorSetSchurIS(Mat, IS);
1575: PETSC_EXTERN PetscErrorCode MatFactorGetSchurComplement(Mat, Mat *, MatFactorSchurStatus *);
1576: PETSC_EXTERN PetscErrorCode MatFactorRestoreSchurComplement(Mat, Mat *, MatFactorSchurStatus);
1577: PETSC_EXTERN PetscErrorCode MatFactorInvertSchurComplement(Mat);
1578: PETSC_EXTERN PetscErrorCode MatFactorCreateSchurComplement(Mat, Mat *, MatFactorSchurStatus *);
1579: PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplement(Mat, Vec, Vec);
1580: PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplementTranspose(Mat, Vec, Vec);
1581: PETSC_EXTERN PetscErrorCode MatFactorFactorizeSchurComplement(Mat);
1583: PETSC_EXTERN PetscErrorCode MatSeqDenseInvert(Mat);
1584: /*E
1585: MatSORType - What type of (S)SOR to perform
1587: Values:
1588: + `SOR_FORWARD_SWEEP` - do a sweep from the first row of the matrix to the last
1589: . `SOR_BACKWARD_SWEEP` - do a sweep from the last row to the first
1590: . `SOR_SYMMETRIC_SWEEP` - do a sweep from the first row to the last and then back to the first
1591: . `SOR_LOCAL_FORWARD_SWEEP` - each MPI process does its own forward sweep with no communication
1592: . `SOR_LOCAL_BACKWARD_SWEEP` - each MPI process does its own backward sweep with no communication
1593: . `SOR_LOCAL_SYMMETRIC_SWEEP` - each MPI process does its own symmetric sweep with no communication
1594: . `SOR_ZERO_INITIAL_GUESS` - indicates the initial solution is zero so the sweep can avoid unneeded computation
1595: . `SOR_EISENSTAT` - apply the Eisentat application of SOR, see `PCEISENSTAT`
1596: . `SOR_APPLY_UPPER` - multiply by the upper triangular portion of the matrix
1597: - `SOR_APPLY_LOWER` - multiply by the lower triangular portion of the matrix
1599: Level: beginner
1601: Note:
1602: These may be bitwise ORd together
1604: Developer Note:
1605: Since `MatSORType` may be bitwise ORd together, so do not change the numerical values below
1607: .seealso: [](ch_matrices), `MatSOR()`
1608: E*/
1609: typedef enum {
1610: SOR_FORWARD_SWEEP = 1,
1611: SOR_BACKWARD_SWEEP = 2,
1612: SOR_SYMMETRIC_SWEEP = 3,
1613: SOR_LOCAL_FORWARD_SWEEP = 4,
1614: SOR_LOCAL_BACKWARD_SWEEP = 8,
1615: SOR_LOCAL_SYMMETRIC_SWEEP = 12,
1616: SOR_ZERO_INITIAL_GUESS = 16,
1617: SOR_EISENSTAT = 32,
1618: SOR_APPLY_UPPER = 64,
1619: SOR_APPLY_LOWER = 128
1620: } MatSORType;
1621: PETSC_EXTERN PetscErrorCode MatSOR(Mat, Vec, PetscReal, MatSORType, PetscReal, PetscInt, PetscInt, Vec);
1623: /*S
1624: MatColoring - Object for managing the coloring of matrices.
1626: Level: beginner
1628: Notes:
1629: Coloring of matrices can be computed directly from the sparse matrix nonzero structure via the `MatColoring` object or from the mesh from which the
1630: matrix comes from via `DMCreateColoring()`. In general using the mesh produces a more optimal coloring (fewer colors).
1632: Once a coloring is available `MatFDColoringCreate()` creates an object that can be used to efficiently compute Jacobians using that coloring. This
1633: same object can also be used to efficiently convert data created by Automatic Differentiation tools to PETSc sparse matrices.
1635: .seealso: [](ch_matrices), [](sec_graph), `MatFDColoringCreate()`, `MatColoringWeightType`, `ISColoring`, `MatFDColoring`, `DMCreateColoring()`, `MatColoringCreate()`,
1636: `MatPartitioning`, `MatColoringType`, `MatPartitioningType`, `MatOrderingType`, `MatColoringSetWeightType()`,
1637: `MatColoringSetWeights()`, `MatCoarsenType`, `MatCoarsen`
1638: S*/
1639: typedef struct _p_MatColoring *MatColoring;
1641: /*J
1642: MatColoringType - String with the name of a PETSc matrix coloring
1644: Level: beginner
1646: .seealso: [](ch_matrices), [](sec_graph), `Mat`, `MatFDColoringCreate()`, `MatColoringSetType()`, `MatColoring`
1647: J*/
1648: typedef const char *MatColoringType;
1649: #define MATCOLORINGJP "jp"
1650: #define MATCOLORINGPOWER "power"
1651: #define MATCOLORINGNATURAL "natural"
1652: #define MATCOLORINGSL "sl"
1653: #define MATCOLORINGLF "lf"
1654: #define MATCOLORINGID "id"
1655: #define MATCOLORINGGREEDY "greedy"
1657: /*E
1658: MatColoringWeightType - Type of weight scheme used for the coloring algorithm
1660: Values:
1661: + `MAT_COLORING_RANDOM` - Random weights
1662: . `MAT_COLORING_LEXICAL` - Lexical weighting based upon global numbering.
1663: - `MAT_COLORING_LF` - Last-first weighting.
1665: Level: intermediate
1667: .seealso: [](ch_matrices), `MatColoring`, `MatColoringCreate()`, `MatColoringSetWeightType()`, `MatColoringSetWeights()`
1668: E*/
1669: typedef enum {
1670: MAT_COLORING_WEIGHT_RANDOM,
1671: MAT_COLORING_WEIGHT_LEXICAL,
1672: MAT_COLORING_WEIGHT_LF,
1673: MAT_COLORING_WEIGHT_SL
1674: } MatColoringWeightType;
1676: PETSC_EXTERN PetscErrorCode MatColoringCreate(Mat, MatColoring *);
1677: PETSC_EXTERN PetscErrorCode MatColoringGetDegrees(Mat, PetscInt, PetscInt *);
1678: PETSC_EXTERN PetscErrorCode MatColoringDestroy(MatColoring *);
1679: PETSC_EXTERN PetscErrorCode MatColoringView(MatColoring, PetscViewer);
1680: PETSC_EXTERN PetscErrorCode MatColoringSetType(MatColoring, MatColoringType);
1681: PETSC_EXTERN PetscErrorCode MatColoringSetFromOptions(MatColoring);
1682: PETSC_EXTERN PetscErrorCode MatColoringSetDistance(MatColoring, PetscInt);
1683: PETSC_EXTERN PetscErrorCode MatColoringGetDistance(MatColoring, PetscInt *);
1684: PETSC_EXTERN PetscErrorCode MatColoringSetMaxColors(MatColoring, PetscInt);
1685: PETSC_EXTERN PetscErrorCode MatColoringGetMaxColors(MatColoring, PetscInt *);
1686: PETSC_EXTERN PetscErrorCode MatColoringApply(MatColoring, ISColoring *);
1687: PETSC_EXTERN PetscErrorCode MatColoringRegister(const char[], PetscErrorCode (*)(MatColoring));
1688: PETSC_EXTERN PetscErrorCode MatColoringPatch(Mat, PetscInt, PetscInt, ISColoringValue[], ISColoring *);
1689: PETSC_EXTERN PetscErrorCode MatColoringSetWeightType(MatColoring, MatColoringWeightType);
1690: PETSC_EXTERN PetscErrorCode MatColoringSetWeights(MatColoring, PetscReal *, PetscInt *);
1691: PETSC_EXTERN PetscErrorCode MatColoringCreateWeights(MatColoring, PetscReal **, PetscInt **lperm);
1692: PETSC_EXTERN PetscErrorCode MatColoringTest(MatColoring, ISColoring);
1693: PETSC_DEPRECATED_FUNCTION(3, 10, 0, "MatColoringTest()", ) static inline PetscErrorCode MatColoringTestValid(MatColoring matcoloring, ISColoring iscoloring)
1694: {
1695: return MatColoringTest(matcoloring, iscoloring);
1696: }
1697: PETSC_EXTERN PetscErrorCode MatISColoringTest(Mat, ISColoring);
1699: /*S
1700: MatFDColoring - Object for computing a sparse Jacobian via finite differences with coloring
1702: Level: beginner
1704: Notes:
1705: This object is creating utilizing a coloring provided by the `MatColoring` object or `DMCreateColoring()`
1707: The `SNES` option `-snes_fd_coloring` will cause the Jacobian needed by `SNES` to be computed via a use of this object
1709: .seealso: [](ch_matrices), `Mat`, `MatFDColoringCreate()`, `MatFDColoringSetFunction()`, `MatColoring`, `DMCreateColoring()`
1710: S*/
1711: typedef struct _p_MatFDColoring *MatFDColoring;
1713: PETSC_EXTERN PetscErrorCode MatFDColoringCreate(Mat, ISColoring, MatFDColoring *);
1714: PETSC_EXTERN PetscErrorCode MatFDColoringDestroy(MatFDColoring *);
1715: PETSC_EXTERN PetscErrorCode MatFDColoringView(MatFDColoring, PetscViewer);
1716: PETSC_EXTERN PetscErrorCode MatFDColoringSetFunction(MatFDColoring, PetscErrorCode (*)(void), void *);
1717: PETSC_EXTERN PetscErrorCode MatFDColoringGetFunction(MatFDColoring, PetscErrorCode (**)(void), void **);
1718: PETSC_EXTERN PetscErrorCode MatFDColoringSetParameters(MatFDColoring, PetscReal, PetscReal);
1719: PETSC_EXTERN PetscErrorCode MatFDColoringSetFromOptions(MatFDColoring);
1720: PETSC_EXTERN PetscErrorCode MatFDColoringApply(Mat, MatFDColoring, Vec, void *);
1721: PETSC_EXTERN PetscErrorCode MatFDColoringSetF(MatFDColoring, Vec);
1722: PETSC_EXTERN PetscErrorCode MatFDColoringGetPerturbedColumns(MatFDColoring, PetscInt *, const PetscInt *[]);
1723: PETSC_EXTERN PetscErrorCode MatFDColoringSetUp(Mat, ISColoring, MatFDColoring);
1724: PETSC_EXTERN PetscErrorCode MatFDColoringSetBlockSize(MatFDColoring, PetscInt, PetscInt);
1725: PETSC_EXTERN PetscErrorCode MatFDColoringSetValues(Mat, MatFDColoring, const PetscScalar *);
1727: /*S
1728: MatTransposeColoring - Object for computing a sparse matrix product $C = A*B^T$ via coloring
1730: Level: developer
1732: .seealso: [](ch_matrices), `Mat`, `MatProductType`, `MatTransposeColoringCreate()`
1733: S*/
1734: typedef struct _p_MatTransposeColoring *MatTransposeColoring;
1736: PETSC_EXTERN PetscErrorCode MatTransposeColoringCreate(Mat, ISColoring, MatTransposeColoring *);
1737: PETSC_EXTERN PetscErrorCode MatTransColoringApplySpToDen(MatTransposeColoring, Mat, Mat);
1738: PETSC_EXTERN PetscErrorCode MatTransColoringApplyDenToSp(MatTransposeColoring, Mat, Mat);
1739: PETSC_EXTERN PetscErrorCode MatTransposeColoringDestroy(MatTransposeColoring *);
1741: /*S
1742: MatPartitioning - Object for managing the partitioning of a matrix or graph
1744: Level: beginner
1746: Note:
1747: There is also a `PetscPartitioner` object that provides the same functionality. It can utilize the `MatPartitioning` operations
1748: via `PetscPartitionerSetType`(p,`PETSCPARTITIONERMATPARTITIONING`)
1750: Developer Note:
1751: It is an extra maintenance and documentation cost to have two objects with the same functionality. `PetscPartitioner` should be removed
1753: .seealso: [](ch_matrices), [](sec_graph), `Mat`, `MatPartitioningCreate()`, `MatPartitioningType`, `MatColoring`, `MatGetOrdering()`, `MatOrderingType`,
1754: `MatCoarsenType`, `MatCoarsenType`
1755: S*/
1756: typedef struct _p_MatPartitioning *MatPartitioning;
1758: /*J
1759: MatPartitioningType - String with the name of a PETSc matrix partitioning
1761: Level: beginner
1762: dm
1763: .seealso: [](ch_matrices), [](sec_graph), `Mat`, `MatPartitioningCreate()`, `MatPartitioning`, `MatPartitioningSetType()`, `MatColoringType`, `MatOrderingType`,
1764: `MatCoarsenType`, `MatCoarsenType`
1765: J*/
1766: typedef const char *MatPartitioningType;
1767: #define MATPARTITIONINGCURRENT "current"
1768: #define MATPARTITIONINGAVERAGE "average"
1769: #define MATPARTITIONINGSQUARE "square"
1770: #define MATPARTITIONINGPARMETIS "parmetis"
1771: #define MATPARTITIONINGCHACO "chaco"
1772: #define MATPARTITIONINGPARTY "party"
1773: #define MATPARTITIONINGPTSCOTCH "ptscotch"
1774: #define MATPARTITIONINGHIERARCH "hierarch"
1776: PETSC_EXTERN PetscErrorCode MatPartitioningCreate(MPI_Comm, MatPartitioning *);
1777: PETSC_EXTERN PetscErrorCode MatPartitioningSetType(MatPartitioning, MatPartitioningType);
1778: PETSC_EXTERN PetscErrorCode MatPartitioningSetNParts(MatPartitioning, PetscInt);
1779: PETSC_EXTERN PetscErrorCode MatPartitioningSetAdjacency(MatPartitioning, Mat);
1780: PETSC_EXTERN PetscErrorCode MatPartitioningSetNumberVertexWeights(MatPartitioning, PetscInt);
1781: PETSC_EXTERN PetscErrorCode MatPartitioningSetVertexWeights(MatPartitioning, const PetscInt[]);
1782: PETSC_EXTERN PetscErrorCode MatPartitioningSetPartitionWeights(MatPartitioning, const PetscReal[]);
1783: PETSC_EXTERN PetscErrorCode MatPartitioningSetUseEdgeWeights(MatPartitioning, PetscBool);
1784: PETSC_EXTERN PetscErrorCode MatPartitioningGetUseEdgeWeights(MatPartitioning, PetscBool *);
1785: PETSC_EXTERN PetscErrorCode MatPartitioningApply(MatPartitioning, IS *);
1786: PETSC_EXTERN PetscErrorCode MatPartitioningImprove(MatPartitioning, IS *);
1787: PETSC_EXTERN PetscErrorCode MatPartitioningViewImbalance(MatPartitioning, IS);
1788: PETSC_EXTERN PetscErrorCode MatPartitioningApplyND(MatPartitioning, IS *);
1789: PETSC_EXTERN PetscErrorCode MatPartitioningDestroy(MatPartitioning *);
1790: PETSC_EXTERN PetscErrorCode MatPartitioningRegister(const char[], PetscErrorCode (*)(MatPartitioning));
1791: PETSC_EXTERN PetscErrorCode MatPartitioningView(MatPartitioning, PetscViewer);
1792: PETSC_EXTERN PetscErrorCode MatPartitioningViewFromOptions(MatPartitioning, PetscObject, const char[]);
1793: PETSC_EXTERN PetscErrorCode MatPartitioningSetFromOptions(MatPartitioning);
1794: PETSC_EXTERN PetscErrorCode MatPartitioningGetType(MatPartitioning, MatPartitioningType *);
1796: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetRepartition(MatPartitioning part);
1797: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetCoarseSequential(MatPartitioning);
1798: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisGetEdgeCut(MatPartitioning, PetscInt *);
1800: typedef enum {
1801: MP_CHACO_MULTILEVEL = 1,
1802: MP_CHACO_SPECTRAL = 2,
1803: MP_CHACO_LINEAR = 4,
1804: MP_CHACO_RANDOM = 5,
1805: MP_CHACO_SCATTERED = 6
1806: } MPChacoGlobalType;
1807: PETSC_EXTERN const char *const MPChacoGlobalTypes[];
1808: typedef enum {
1809: MP_CHACO_KERNIGHAN = 1,
1810: MP_CHACO_NONE = 2
1811: } MPChacoLocalType;
1812: PETSC_EXTERN const char *const MPChacoLocalTypes[];
1813: typedef enum {
1814: MP_CHACO_LANCZOS = 0,
1815: MP_CHACO_RQI = 1
1816: } MPChacoEigenType;
1817: PETSC_EXTERN const char *const MPChacoEigenTypes[];
1819: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetGlobal(MatPartitioning, MPChacoGlobalType);
1820: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetGlobal(MatPartitioning, MPChacoGlobalType *);
1821: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetLocal(MatPartitioning, MPChacoLocalType);
1822: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetLocal(MatPartitioning, MPChacoLocalType *);
1823: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetCoarseLevel(MatPartitioning, PetscReal);
1824: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenSolver(MatPartitioning, MPChacoEigenType);
1825: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenSolver(MatPartitioning, MPChacoEigenType *);
1826: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenTol(MatPartitioning, PetscReal);
1827: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenTol(MatPartitioning, PetscReal *);
1828: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenNumber(MatPartitioning, PetscInt);
1829: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenNumber(MatPartitioning, PetscInt *);
1831: #define MP_PARTY_OPT "opt"
1832: #define MP_PARTY_LIN "lin"
1833: #define MP_PARTY_SCA "sca"
1834: #define MP_PARTY_RAN "ran"
1835: #define MP_PARTY_GBF "gbf"
1836: #define MP_PARTY_GCF "gcf"
1837: #define MP_PARTY_BUB "bub"
1838: #define MP_PARTY_DEF "def"
1839: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetGlobal(MatPartitioning, const char *);
1840: #define MP_PARTY_HELPFUL_SETS "hs"
1841: #define MP_PARTY_KERNIGHAN_LIN "kl"
1842: #define MP_PARTY_NONE "no"
1843: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetLocal(MatPartitioning, const char *);
1844: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetCoarseLevel(MatPartitioning, PetscReal);
1845: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetBipart(MatPartitioning, PetscBool);
1846: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetMatchOptimization(MatPartitioning, PetscBool);
1848: typedef enum {
1849: MP_PTSCOTCH_DEFAULT,
1850: MP_PTSCOTCH_QUALITY,
1851: MP_PTSCOTCH_SPEED,
1852: MP_PTSCOTCH_BALANCE,
1853: MP_PTSCOTCH_SAFETY,
1854: MP_PTSCOTCH_SCALABILITY
1855: } MPPTScotchStrategyType;
1856: PETSC_EXTERN const char *const MPPTScotchStrategyTypes[];
1858: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetImbalance(MatPartitioning, PetscReal);
1859: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetImbalance(MatPartitioning, PetscReal *);
1860: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetStrategy(MatPartitioning, MPPTScotchStrategyType);
1861: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetStrategy(MatPartitioning, MPPTScotchStrategyType *);
1863: /*
1864: * hierarchical partitioning
1865: */
1866: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetFineparts(MatPartitioning, IS *);
1867: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetCoarseparts(MatPartitioning, IS *);
1868: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNcoarseparts(MatPartitioning, PetscInt);
1869: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNfineparts(MatPartitioning, PetscInt);
1871: PETSC_EXTERN PetscErrorCode MatMeshToCellGraph(Mat, PetscInt, Mat *);
1873: /*
1874: If you add entries here you must also add them to src/mat/f90-mod/petscmat.h
1875: If any of the enum values are changed, also update dMatOps dict at src/binding/petsc4py/src/libpetsc4py/libpetsc4py.pyx
1876: */
1877: typedef enum {
1878: MATOP_SET_VALUES = 0,
1879: MATOP_GET_ROW = 1,
1880: MATOP_RESTORE_ROW = 2,
1881: MATOP_MULT = 3,
1882: MATOP_MULT_ADD = 4,
1883: MATOP_MULT_TRANSPOSE = 5,
1884: MATOP_MULT_TRANSPOSE_ADD = 6,
1885: MATOP_SOLVE = 7,
1886: MATOP_SOLVE_ADD = 8,
1887: MATOP_SOLVE_TRANSPOSE = 9,
1888: MATOP_SOLVE_TRANSPOSE_ADD = 10,
1889: MATOP_LUFACTOR = 11,
1890: MATOP_CHOLESKYFACTOR = 12,
1891: MATOP_SOR = 13,
1892: MATOP_TRANSPOSE = 14,
1893: MATOP_GETINFO = 15,
1894: MATOP_EQUAL = 16,
1895: MATOP_GET_DIAGONAL = 17,
1896: MATOP_DIAGONAL_SCALE = 18,
1897: MATOP_NORM = 19,
1898: MATOP_ASSEMBLY_BEGIN = 20,
1899: MATOP_ASSEMBLY_END = 21,
1900: MATOP_SET_OPTION = 22,
1901: MATOP_ZERO_ENTRIES = 23,
1902: MATOP_ZERO_ROWS = 24,
1903: MATOP_LUFACTOR_SYMBOLIC = 25,
1904: MATOP_LUFACTOR_NUMERIC = 26,
1905: MATOP_CHOLESKY_FACTOR_SYMBOLIC = 27,
1906: MATOP_CHOLESKY_FACTOR_NUMERIC = 28,
1907: MATOP_SETUP = 29,
1908: MATOP_ILUFACTOR_SYMBOLIC = 30,
1909: MATOP_ICCFACTOR_SYMBOLIC = 31,
1910: MATOP_GET_DIAGONAL_BLOCK = 32,
1911: MATOP_SET_INF = 33,
1912: MATOP_DUPLICATE = 34,
1913: MATOP_FORWARD_SOLVE = 35,
1914: MATOP_BACKWARD_SOLVE = 36,
1915: MATOP_ILUFACTOR = 37,
1916: MATOP_ICCFACTOR = 38,
1917: MATOP_AXPY = 39,
1918: MATOP_CREATE_SUBMATRICES = 40,
1919: MATOP_INCREASE_OVERLAP = 41,
1920: MATOP_GET_VALUES = 42,
1921: MATOP_COPY = 43,
1922: MATOP_GET_ROW_MAX = 44,
1923: MATOP_SCALE = 45,
1924: MATOP_SHIFT = 46,
1925: MATOP_DIAGONAL_SET = 47,
1926: MATOP_ZERO_ROWS_COLUMNS = 48,
1927: MATOP_SET_RANDOM = 49,
1928: MATOP_GET_ROW_IJ = 50,
1929: MATOP_RESTORE_ROW_IJ = 51,
1930: MATOP_GET_COLUMN_IJ = 52,
1931: MATOP_RESTORE_COLUMN_IJ = 53,
1932: MATOP_FDCOLORING_CREATE = 54,
1933: MATOP_COLORING_PATCH = 55,
1934: MATOP_SET_UNFACTORED = 56,
1935: MATOP_PERMUTE = 57,
1936: MATOP_SET_VALUES_BLOCKED = 58,
1937: MATOP_CREATE_SUBMATRIX = 59,
1938: MATOP_DESTROY = 60,
1939: MATOP_VIEW = 61,
1940: MATOP_CONVERT_FROM = 62,
1941: /* MATOP_PLACEHOLDER_63=63 */
1942: MATOP_MATMAT_MULT_SYMBOLIC = 64,
1943: MATOP_MATMAT_MULT_NUMERIC = 65,
1944: MATOP_SET_LOCAL_TO_GLOBAL_MAP = 66,
1945: MATOP_SET_VALUES_LOCAL = 67,
1946: MATOP_ZERO_ROWS_LOCAL = 68,
1947: MATOP_GET_ROW_MAX_ABS = 69,
1948: MATOP_GET_ROW_MIN_ABS = 70,
1949: MATOP_CONVERT = 71,
1950: MATOP_HAS_OPERATION = 72,
1951: /* MATOP_PLACEHOLDER_73=73, */
1952: MATOP_SET_VALUES_ADIFOR = 74,
1953: MATOP_FD_COLORING_APPLY = 75,
1954: MATOP_SET_FROM_OPTIONS = 76,
1955: /* MATOP_PLACEHOLDER_77=77, */
1956: /* MATOP_PLACEHOLDER_78=78, */
1957: MATOP_FIND_ZERO_DIAGONALS = 79,
1958: MATOP_MULT_MULTIPLE = 80,
1959: MATOP_SOLVE_MULTIPLE = 81,
1960: MATOP_GET_INERTIA = 82,
1961: MATOP_LOAD = 83,
1962: MATOP_IS_SYMMETRIC = 84,
1963: MATOP_IS_HERMITIAN = 85,
1964: MATOP_IS_STRUCTURALLY_SYMMETRIC = 86,
1965: MATOP_SET_VALUES_BLOCKEDLOCAL = 87,
1966: MATOP_CREATE_VECS = 88,
1967: /* MATOP_PLACEHOLDER_89=89, */
1968: MATOP_MAT_MULT_SYMBOLIC = 90,
1969: MATOP_MAT_MULT_NUMERIC = 91,
1970: /* MATOP_PLACEHOLDER_92=92, */
1971: MATOP_PTAP_SYMBOLIC = 93,
1972: MATOP_PTAP_NUMERIC = 94,
1973: /* MATOP_PLACEHOLDER_95=95, */
1974: MATOP_MAT_TRANSPOSE_MULT_SYMBO = 96,
1975: MATOP_MAT_TRANSPOSE_MULT_NUMER = 97,
1976: MATOP_BIND_TO_CPU = 98,
1977: MATOP_PRODUCTSETFROMOPTIONS = 99,
1978: MATOP_PRODUCTSYMBOLIC = 100,
1979: MATOP_PRODUCTNUMERIC = 101,
1980: MATOP_CONJUGATE = 102,
1981: MATOP_VIEW_NATIVE = 103,
1982: MATOP_SET_VALUES_ROW = 104,
1983: MATOP_REAL_PART = 105,
1984: MATOP_IMAGINARY_PART = 106,
1985: MATOP_GET_ROW_UPPER_TRIANGULAR = 107,
1986: MATOP_RESTORE_ROW_UPPER_TRIANG = 108,
1987: MATOP_MAT_SOLVE = 109,
1988: MATOP_MAT_SOLVE_TRANSPOSE = 110,
1989: MATOP_GET_ROW_MIN = 111,
1990: MATOP_GET_COLUMN_VECTOR = 112,
1991: MATOP_MISSING_DIAGONAL = 113,
1992: MATOP_GET_SEQ_NONZERO_STRUCTUR = 114,
1993: MATOP_CREATE = 115,
1994: MATOP_GET_GHOSTS = 116,
1995: MATOP_GET_LOCAL_SUB_MATRIX = 117,
1996: MATOP_RESTORE_LOCALSUB_MATRIX = 118,
1997: MATOP_MULT_DIAGONAL_BLOCK = 119,
1998: MATOP_HERMITIAN_TRANSPOSE = 120,
1999: MATOP_MULT_HERMITIAN_TRANSPOSE = 121,
2000: MATOP_MULT_HERMITIAN_TRANS_ADD = 122,
2001: MATOP_GET_MULTI_PROC_BLOCK = 123,
2002: MATOP_FIND_NONZERO_ROWS = 124,
2003: MATOP_GET_COLUMN_NORMS = 125,
2004: MATOP_INVERT_BLOCK_DIAGONAL = 126,
2005: MATOP_INVERT_VBLOCK_DIAGONAL = 127,
2006: MATOP_CREATE_SUB_MATRICES_MPI = 128,
2007: MATOP_SET_VALUES_BATCH = 129,
2008: /* MATOP_PLACEHOLDER_130=130, */
2009: MATOP_TRANSPOSE_MAT_MULT_SYMBO = 131,
2010: MATOP_TRANSPOSE_MAT_MULT_NUMER = 132,
2011: MATOP_TRANSPOSE_COLORING_CREAT = 133,
2012: MATOP_TRANS_COLORING_APPLY_SPT = 134,
2013: MATOP_TRANS_COLORING_APPLY_DEN = 135,
2014: /* MATOP_PLACEHOLDER_136=136, */
2015: MATOP_RART_SYMBOLIC = 137,
2016: MATOP_RART_NUMERIC = 138,
2017: MATOP_SET_BLOCK_SIZES = 139,
2018: MATOP_AYPX = 140,
2019: MATOP_RESIDUAL = 141,
2020: MATOP_FDCOLORING_SETUP = 142,
2021: MATOP_FIND_OFFBLOCK_ENTRIES = 143,
2022: MATOP_MPICONCATENATESEQ = 144,
2023: MATOP_DESTROYSUBMATRICES = 145,
2024: MATOP_TRANSPOSE_SOLVE = 146,
2025: MATOP_GET_VALUES_LOCAL = 147
2026: } MatOperation;
2027: PETSC_EXTERN PetscErrorCode MatSetOperation(Mat, MatOperation, void (*)(void));
2028: PETSC_EXTERN PetscErrorCode MatGetOperation(Mat, MatOperation, void (**)(void));
2029: PETSC_EXTERN PetscErrorCode MatHasOperation(Mat, MatOperation, PetscBool *);
2030: PETSC_EXTERN PetscErrorCode MatHasCongruentLayouts(Mat, PetscBool *);
2031: PETSC_DEPRECATED_FUNCTION(3, 14, 0, "MatProductClear()", ) static inline PetscErrorCode MatFreeIntermediateDataStructures(Mat A)
2032: {
2033: return MatProductClear(A);
2034: }
2035: PETSC_EXTERN PetscErrorCode MatShellSetOperation(Mat, MatOperation, void (*)(void));
2036: PETSC_EXTERN PetscErrorCode MatShellGetOperation(Mat, MatOperation, void (**)(void));
2037: PETSC_EXTERN PetscErrorCode MatShellSetContext(Mat, void *);
2038: PETSC_EXTERN PetscErrorCode MatShellSetContextDestroy(Mat, PetscErrorCode (*)(void *));
2039: PETSC_EXTERN PetscErrorCode MatShellSetVecType(Mat, VecType);
2040: PETSC_EXTERN PetscErrorCode MatShellTestMult(Mat, PetscErrorCode (*)(void *, Vec, Vec), Vec, void *, PetscBool *);
2041: PETSC_EXTERN PetscErrorCode MatShellTestMultTranspose(Mat, PetscErrorCode (*)(void *, Vec, Vec), Vec, void *, PetscBool *);
2042: PETSC_EXTERN PetscErrorCode MatShellSetManageScalingShifts(Mat);
2043: PETSC_EXTERN PetscErrorCode MatShellSetMatProductOperation(Mat, MatProductType, PetscErrorCode (*)(Mat, Mat, Mat, void **), PetscErrorCode (*)(Mat, Mat, Mat, void *), PetscErrorCode (*)(void *), MatType, MatType);
2044: PETSC_EXTERN PetscErrorCode MatIsShell(Mat, PetscBool *);
2046: /*
2047: Codes for matrices stored on disk. By default they are
2048: stored in a universal format. By changing the format with
2049: PetscViewerPushFormat(viewer,PETSC_VIEWER_NATIVE); the matrices will
2050: be stored in a way natural for the matrix, for example dense matrices
2051: would be stored as dense. Matrices stored this way may only be
2052: read into matrices of the same type.
2053: */
2054: #define MATRIX_BINARY_FORMAT_DENSE -1
2056: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetHashTableFactor(Mat, PetscReal);
2058: PETSC_EXTERN PetscErrorCode MatISSetLocalMatType(Mat, MatType);
2059: PETSC_EXTERN PetscErrorCode MatISSetPreallocation(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
2060: PETSC_EXTERN PetscErrorCode MatISSetAllowRepeated(Mat, PetscBool);
2061: PETSC_EXTERN PetscErrorCode MatISGetAllowRepeated(Mat, PetscBool *);
2062: PETSC_EXTERN PetscErrorCode MatISStoreL2L(Mat, PetscBool);
2063: PETSC_EXTERN PetscErrorCode MatISFixLocalEmpty(Mat, PetscBool);
2064: PETSC_EXTERN PetscErrorCode MatISGetLocalMat(Mat, Mat *);
2065: PETSC_EXTERN PetscErrorCode MatISRestoreLocalMat(Mat, Mat *);
2066: PETSC_EXTERN PetscErrorCode MatISSetLocalMat(Mat, Mat);
2067: PETSC_EXTERN PetscErrorCode MatISGetLocalToGlobalMapping(Mat, ISLocalToGlobalMapping *, ISLocalToGlobalMapping *);
2069: /*S
2070: MatNullSpace - Object that removes a null space from a vector, i.e.
2071: orthogonalizes the vector to a subspace
2073: Level: advanced
2075: .seealso: [](ch_matrices), `Mat`, `MatNullSpaceCreate()`, `MatNullSpaceSetFunction()`, `MatGetNullSpace()`, `MatSetNullSpace()`
2076: S*/
2077: typedef struct _p_MatNullSpace *MatNullSpace;
2079: PETSC_EXTERN PetscErrorCode MatNullSpaceCreate(MPI_Comm, PetscBool, PetscInt, const Vec[], MatNullSpace *);
2080: PETSC_EXTERN PetscErrorCode MatNullSpaceSetFunction(MatNullSpace, PetscErrorCode (*)(MatNullSpace, Vec, void *), void *);
2081: PETSC_EXTERN PetscErrorCode MatNullSpaceDestroy(MatNullSpace *);
2082: PETSC_EXTERN PetscErrorCode MatNullSpaceRemove(MatNullSpace, Vec);
2083: PETSC_EXTERN PetscErrorCode MatGetNullSpace(Mat, MatNullSpace *);
2084: PETSC_EXTERN PetscErrorCode MatGetTransposeNullSpace(Mat, MatNullSpace *);
2085: PETSC_EXTERN PetscErrorCode MatSetTransposeNullSpace(Mat, MatNullSpace);
2086: PETSC_EXTERN PetscErrorCode MatSetNullSpace(Mat, MatNullSpace);
2087: PETSC_EXTERN PetscErrorCode MatSetNearNullSpace(Mat, MatNullSpace);
2088: PETSC_EXTERN PetscErrorCode MatGetNearNullSpace(Mat, MatNullSpace *);
2089: PETSC_EXTERN PetscErrorCode MatGetNullSpaces(PetscInt, Mat[], MatNullSpace *[]);
2090: PETSC_EXTERN PetscErrorCode MatRestoreNullSpaces(PetscInt, Mat[], MatNullSpace *[]);
2091: PETSC_EXTERN PetscErrorCode MatNullSpaceTest(MatNullSpace, Mat, PetscBool *);
2092: PETSC_EXTERN PetscErrorCode MatNullSpaceView(MatNullSpace, PetscViewer);
2093: PETSC_EXTERN PetscErrorCode MatNullSpaceGetVecs(MatNullSpace, PetscBool *, PetscInt *, const Vec **);
2094: PETSC_EXTERN PetscErrorCode MatNullSpaceCreateRigidBody(Vec, MatNullSpace *);
2096: PETSC_EXTERN PetscErrorCode MatReorderingSeqSBAIJ(Mat, IS);
2097: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetHashTableFactor(Mat, PetscReal);
2098: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetColumnIndices(Mat, PetscInt *);
2100: PETSC_EXTERN PetscErrorCode MatCreateMAIJ(Mat, PetscInt, Mat *);
2101: PETSC_EXTERN PetscErrorCode MatMAIJRedimension(Mat, PetscInt, Mat *);
2102: PETSC_EXTERN PetscErrorCode MatMAIJGetAIJ(Mat, Mat *);
2104: PETSC_EXTERN PetscErrorCode MatComputeOperator(Mat, MatType, Mat *);
2105: PETSC_EXTERN PetscErrorCode MatComputeOperatorTranspose(Mat, MatType, Mat *);
2107: PETSC_DEPRECATED_FUNCTION(3, 12, 0, "MatComputeOperator()", ) static inline PetscErrorCode MatComputeExplicitOperator(Mat A, Mat *B)
2108: {
2109: return MatComputeOperator(A, PETSC_NULLPTR, B);
2110: }
2111: PETSC_DEPRECATED_FUNCTION(3, 12, 0, "MatComputeOperatorTranspose()", ) static inline PetscErrorCode MatComputeExplicitOperatorTranspose(Mat A, Mat *B)
2112: {
2113: return MatComputeOperatorTranspose(A, PETSC_NULLPTR, B);
2114: }
2116: PETSC_EXTERN PetscErrorCode MatCreateKAIJ(Mat, PetscInt, PetscInt, const PetscScalar[], const PetscScalar[], Mat *);
2117: PETSC_EXTERN PetscErrorCode MatKAIJGetAIJ(Mat, Mat *);
2118: PETSC_EXTERN PetscErrorCode MatKAIJGetS(Mat, PetscInt *, PetscInt *, PetscScalar **);
2119: PETSC_EXTERN PetscErrorCode MatKAIJGetSRead(Mat, PetscInt *, PetscInt *, const PetscScalar **);
2120: PETSC_EXTERN PetscErrorCode MatKAIJRestoreS(Mat, PetscScalar **);
2121: PETSC_EXTERN PetscErrorCode MatKAIJRestoreSRead(Mat, const PetscScalar **);
2122: PETSC_EXTERN PetscErrorCode MatKAIJGetT(Mat, PetscInt *, PetscInt *, PetscScalar **);
2123: PETSC_EXTERN PetscErrorCode MatKAIJGetTRead(Mat, PetscInt *, PetscInt *, const PetscScalar **);
2124: PETSC_EXTERN PetscErrorCode MatKAIJRestoreT(Mat, PetscScalar **);
2125: PETSC_EXTERN PetscErrorCode MatKAIJRestoreTRead(Mat, const PetscScalar **);
2126: PETSC_EXTERN PetscErrorCode MatKAIJSetAIJ(Mat, Mat);
2127: PETSC_EXTERN PetscErrorCode MatKAIJSetS(Mat, PetscInt, PetscInt, const PetscScalar[]);
2128: PETSC_EXTERN PetscErrorCode MatKAIJSetT(Mat, PetscInt, PetscInt, const PetscScalar[]);
2129: PETSC_EXTERN PetscErrorCode MatKAIJGetScaledIdentity(Mat, PetscBool *);
2131: PETSC_EXTERN PetscErrorCode MatDiagonalScaleLocal(Mat, Vec);
2133: PETSC_EXTERN PetscErrorCode MatMFFDInitializePackage(void);
2134: PETSC_EXTERN PetscErrorCode MatMFFDFinalizePackage(void);
2136: PETSC_EXTERN PetscErrorCode MatCreateMFFD(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, Mat *);
2137: PETSC_EXTERN PetscErrorCode MatMFFDSetBase(Mat, Vec, Vec);
2138: PETSC_EXTERN PetscErrorCode MatMFFDSetFunction(Mat, PetscErrorCode (*)(void *, Vec, Vec), void *);
2139: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioni(Mat, PetscErrorCode (*)(void *, PetscInt, Vec, PetscScalar *));
2140: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioniBase(Mat, PetscErrorCode (*)(void *, Vec));
2141: PETSC_EXTERN PetscErrorCode MatMFFDSetHHistory(Mat, PetscScalar[], PetscInt);
2142: PETSC_EXTERN PetscErrorCode MatMFFDResetHHistory(Mat);
2143: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctionError(Mat, PetscReal);
2144: PETSC_EXTERN PetscErrorCode MatMFFDSetPeriod(Mat, PetscInt);
2145: PETSC_EXTERN PetscErrorCode MatMFFDGetH(Mat, PetscScalar *);
2146: PETSC_EXTERN PetscErrorCode MatMFFDSetOptionsPrefix(Mat, const char[]);
2147: PETSC_EXTERN PetscErrorCode MatMFFDCheckPositivity(void *, Vec, Vec, PetscScalar *);
2148: PETSC_EXTERN PetscErrorCode MatMFFDSetCheckh(Mat, PetscErrorCode (*)(void *, Vec, Vec, PetscScalar *), void *);
2150: /*S
2151: MatMFFD - A data structured used to manage the computation of the h differencing parameter for matrix-free
2152: Jacobian vector products
2154: Level: developer
2156: Notes:
2157: `MATMFFD` is a specific `MatType` which uses the `MatMFFD` data structure
2159: MatMFFD*() methods actually take the `Mat` as their first argument. Not a `MatMFFD` data structure
2161: This functionality is often obtained using `MatCreateSNESMF()` or with `SNES` solvers using `-snes_mf` or `-snes_mf_operator`
2163: .seealso: [](ch_matrices), `MatMFFDType`, `MATMFFD`, `MatCreateMFFD()`, `MatMFFDSetFuction()`, `MatMFFDSetType()`, `MatMFFDRegister()`,
2164: `MatCreateSNESMF()`, `SNES`, `-snes_mf`, `-snes_mf_operator`
2165: S*/
2166: typedef struct _p_MatMFFD *MatMFFD;
2168: /*J
2169: MatMFFDType - algorithm used to compute the `h` used in computing matrix-vector products via differencing of a function
2171: Values:
2172: + `MATMFFD_DS` - an algorithm described by Dennis and Schnabel {cite}`dennis:83`
2173: - `MATMFFD_WP` - the Walker-Pernice {cite}`pw98` strategy.
2175: Level: beginner
2177: .seealso: [](ch_matrices), `MatMFFDSetType()`, `MatMFFDRegister()`, `MatMFFDSetFunction()`, `MatCreateMFFD()`
2178: J*/
2179: typedef const char *MatMFFDType;
2180: #define MATMFFD_DS "ds"
2181: #define MATMFFD_WP "wp"
2183: PETSC_EXTERN PetscErrorCode MatMFFDSetType(Mat, MatMFFDType);
2184: PETSC_EXTERN PetscErrorCode MatMFFDRegister(const char[], PetscErrorCode (*)(MatMFFD));
2186: PETSC_EXTERN PetscErrorCode MatMFFDDSSetUmin(Mat, PetscReal);
2187: PETSC_EXTERN PetscErrorCode MatMFFDWPSetComputeNormU(Mat, PetscBool);
2189: PETSC_EXTERN PetscErrorCode MatFDColoringSetType(MatFDColoring, MatMFFDType);
2191: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutMatrix(PetscViewer, PetscInt, PetscInt, PetscReal *);
2192: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutCSRMatrix(PetscViewer, PetscInt, PetscInt, PetscInt *, PetscInt *, PetscReal *);
2194: #ifdef PETSC_HAVE_H2OPUS
2195: PETSC_EXTERN_TYPEDEF typedef PetscScalar(MatH2OpusKernelFn)(PetscInt, PetscReal[], PetscReal[], void *);
2196: PETSC_EXTERN_TYPEDEF typedef MatH2OpusKernelFn *MatH2OpusKernel;
2198: PETSC_EXTERN PetscErrorCode MatCreateH2OpusFromKernel(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscReal[], PetscBool, MatH2OpusKernelFn *, void *, PetscReal, PetscInt, PetscInt, Mat *);
2199: PETSC_EXTERN PetscErrorCode MatCreateH2OpusFromMat(Mat, PetscInt, const PetscReal[], PetscBool, PetscReal, PetscInt, PetscInt, PetscInt, PetscReal, Mat *);
2200: PETSC_EXTERN PetscErrorCode MatH2OpusSetSamplingMat(Mat, Mat, PetscInt, PetscReal);
2201: PETSC_EXTERN PetscErrorCode MatH2OpusOrthogonalize(Mat);
2202: PETSC_EXTERN PetscErrorCode MatH2OpusCompress(Mat, PetscReal);
2203: PETSC_EXTERN PetscErrorCode MatH2OpusSetNativeMult(Mat, PetscBool);
2204: PETSC_EXTERN PetscErrorCode MatH2OpusGetNativeMult(Mat, PetscBool *);
2205: PETSC_EXTERN PetscErrorCode MatH2OpusGetIndexMap(Mat, IS *);
2206: PETSC_EXTERN PetscErrorCode MatH2OpusMapVec(Mat, PetscBool, Vec, Vec *);
2207: PETSC_EXTERN PetscErrorCode MatH2OpusLowRankUpdate(Mat, Mat, Mat, PetscScalar);
2208: #endif
2210: #ifdef PETSC_HAVE_HTOOL
2211: PETSC_EXTERN_TYPEDEF typedef PetscErrorCode(MatHtoolKernelFn)(PetscInt, PetscInt, PetscInt, const PetscInt *, const PetscInt *, PetscScalar *, void *);
2212: PETSC_EXTERN_TYPEDEF typedef MatHtoolKernelFn *MatHtoolKernel;
2214: PETSC_EXTERN PetscErrorCode MatCreateHtoolFromKernel(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscReal[], const PetscReal[], MatHtoolKernelFn *, void *, Mat *);
2215: PETSC_EXTERN PetscErrorCode MatHtoolSetKernel(Mat, MatHtoolKernelFn *, void *);
2216: PETSC_EXTERN PetscErrorCode MatHtoolGetPermutationSource(Mat, IS *);
2217: PETSC_EXTERN PetscErrorCode MatHtoolGetPermutationTarget(Mat, IS *);
2218: PETSC_EXTERN PetscErrorCode MatHtoolUsePermutation(Mat, PetscBool);
2220: /*E
2221: MatHtoolCompressorType - Indicates the type of compressor used by a `MATHTOOL`
2223: Values:
2224: + `MAT_HTOOL_COMPRESSOR_SYMPARTIAL_ACA` (default) - symmetric partial adaptive cross approximation
2225: . `MAT_HTOOL_COMPRESSOR_FULL_ACA` - full adaptive cross approximation
2226: - `MAT_HTOOL_COMPRESSOR_SVD` - singular value decomposition
2228: Level: intermediate
2230: .seealso: [](ch_matrices), `Mat`, `MatCreateHtoolFromKernel()`, `MATHTOOL`, `MatHtoolClusteringType`
2231: E*/
2232: typedef enum {
2233: MAT_HTOOL_COMPRESSOR_SYMPARTIAL_ACA,
2234: MAT_HTOOL_COMPRESSOR_FULL_ACA,
2235: MAT_HTOOL_COMPRESSOR_SVD
2236: } MatHtoolCompressorType;
2238: /*E
2239: MatHtoolClusteringType - Indicates the type of clustering used by a `MATHTOOL`
2241: Values:
2242: + `MAT_HTOOL_CLUSTERING_PCA_REGULAR` (default) - axis computed via principle component analysis, split uniformly
2243: . `MAT_HTOOL_CLUSTERING_PCA_GEOMETRIC` - axis computed via principle component analysis, split barycentrically
2244: . `MAT_HTOOL_CLUSTERING_BOUNDING_BOX_1_REGULAR` - axis along the largest extent of the bounding box, split uniformly
2245: - `MAT_HTOOL_CLUSTERING_BOUNDING_BOX_1_GEOMETRIC` - axis along the largest extent of the bounding box, split barycentrically
2247: Level: intermediate
2249: Note:
2250: Higher-dimensional clustering is not yet supported in Htool, but once it is, one should add BOUNDING_BOX_{2,3} types
2252: .seealso: [](ch_matrices), `Mat`, `MatCreateHtoolFromKernel()`, `MATHTOOL`, `MatHtoolCompressorType`
2253: E*/
2254: typedef enum {
2255: MAT_HTOOL_CLUSTERING_PCA_REGULAR,
2256: MAT_HTOOL_CLUSTERING_PCA_GEOMETRIC,
2257: MAT_HTOOL_CLUSTERING_BOUNDING_BOX_1_REGULAR,
2258: MAT_HTOOL_CLUSTERING_BOUNDING_BOX_1_GEOMETRIC
2259: } MatHtoolClusteringType;
2260: #endif
2262: #ifdef PETSC_HAVE_MUMPS
2263: PETSC_EXTERN PetscErrorCode MatMumpsSetIcntl(Mat, PetscInt, PetscInt);
2264: PETSC_EXTERN PetscErrorCode MatMumpsGetIcntl(Mat, PetscInt, PetscInt *);
2265: PETSC_EXTERN PetscErrorCode MatMumpsSetCntl(Mat, PetscInt, PetscReal);
2266: PETSC_EXTERN PetscErrorCode MatMumpsGetCntl(Mat, PetscInt, PetscReal *);
2268: PETSC_EXTERN PetscErrorCode MatMumpsGetInfo(Mat, PetscInt, PetscInt *);
2269: PETSC_EXTERN PetscErrorCode MatMumpsGetInfog(Mat, PetscInt, PetscInt *);
2270: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfo(Mat, PetscInt, PetscReal *);
2271: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfog(Mat, PetscInt, PetscReal *);
2272: PETSC_EXTERN PetscErrorCode MatMumpsGetNullPivots(Mat, PetscInt *, PetscInt **);
2273: PETSC_EXTERN PetscErrorCode MatMumpsGetInverse(Mat, Mat);
2274: PETSC_EXTERN PetscErrorCode MatMumpsGetInverseTranspose(Mat, Mat);
2275: #endif
2277: #ifdef PETSC_HAVE_MKL_PARDISO
2278: PETSC_EXTERN PetscErrorCode MatMkl_PardisoSetCntl(Mat, PetscInt, PetscInt);
2279: #endif
2281: #ifdef PETSC_HAVE_MKL_CPARDISO
2282: PETSC_EXTERN PetscErrorCode MatMkl_CPardisoSetCntl(Mat, PetscInt, PetscInt);
2283: #endif
2285: #ifdef PETSC_HAVE_SUPERLU
2286: PETSC_EXTERN PetscErrorCode MatSuperluSetILUDropTol(Mat, PetscReal);
2287: #endif
2289: #ifdef PETSC_HAVE_SUPERLU_DIST
2290: PETSC_EXTERN PetscErrorCode MatSuperluDistGetDiagU(Mat, PetscScalar *);
2291: #endif
2293: #ifdef PETSC_HAVE_STRUMPACK
2294: /*E
2295: MatSTRUMPACKReordering - sparsity reducing ordering to be used in `MATSOLVERSTRUMPACK`
2297: Values:
2298: + `MAT_STRUMPACK_NATURAL` - use the current ordering
2299: . `MAT_STRUMPACK_METIS` - use MeTis to compute an ordering
2300: . `MAT_STRUMPACK_PARMETIS` - use ParMeTis to compute an ordering
2301: . `MAT_STRUMPACK_SCOTCH` - use Scotch to compute an ordering
2302: . `MAT_STRUMPACK_PTSCOTCH` - use parallel Scotch to compute an ordering
2303: . `MAT_STRUMPACK_RCM` - use an RCM ordering
2304: . `MAT_STRUMPACK_GEOMETRIC` - use a geometric ordering (needs mesh info from user)
2305: . `MAT_STRUMPACK_AMD` - approximate minimum degree
2306: . `MAT_STRUMPACK_MMD` - multiple minimum degree
2307: . `MAT_STRUMPACK_AND` - approximate nested dissection
2308: . `MAT_STRUMPACK_MLF` - minimum local fill
2309: - `MAT_STRUMPACK_SPECTRAL` - spectral nested dissection
2311: Level: intermediate
2313: Developer Note:
2314: Should be called `MatSTRUMPACKReorderingType`
2316: .seealso: `Mat`, `MATSOLVERSTRUMPACK`, `MatGetFactor()`, `MatSTRUMPACKSetReordering()`
2317: E*/
2318: typedef enum {
2319: MAT_STRUMPACK_NATURAL,
2320: MAT_STRUMPACK_METIS,
2321: MAT_STRUMPACK_PARMETIS,
2322: MAT_STRUMPACK_SCOTCH,
2323: MAT_STRUMPACK_PTSCOTCH,
2324: MAT_STRUMPACK_RCM,
2325: MAT_STRUMPACK_GEOMETRIC,
2326: MAT_STRUMPACK_AMD,
2327: MAT_STRUMPACK_MMD,
2328: MAT_STRUMPACK_AND,
2329: MAT_STRUMPACK_MLF,
2330: MAT_STRUMPACK_SPECTRAL
2331: } MatSTRUMPACKReordering;
2333: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetReordering(Mat, MatSTRUMPACKReordering);
2334: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetReordering(Mat, MatSTRUMPACKReordering *);
2335: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetGeometricNxyz(Mat, PetscInt, PetscInt, PetscInt);
2336: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetGeometricComponents(Mat, PetscInt);
2337: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetGeometricWidth(Mat, PetscInt);
2338: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetColPerm(Mat, PetscBool);
2339: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetColPerm(Mat, PetscBool *);
2340: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetGPU(Mat, PetscBool);
2341: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetGPU(Mat, PetscBool *);
2343: /*E
2344: MatSTRUMPACKCompressionType - Compression used in the approximate sparse factorization solver `MATSOLVERSTRUMPACK`
2346: Values:
2347: + `MAT_STRUMPACK_COMPRESSION_TYPE_NONE` - no compression, direct solver
2348: . `MAT_STRUMPACK_COMPRESSION_TYPE_HSS` - hierarchically semi-separable
2349: . `MAT_STRUMPACK_COMPRESSION_TYPE_BLR` - block low rank
2350: . `MAT_STRUMPACK_COMPRESSION_TYPE_HODLR` - hierarchically off-diagonal low rank (requires ButterfyPACK support, configure with --download-butterflypack)
2351: . `MAT_STRUMPACK_COMPRESSION_TYPE_BLR_HODLR` - hybrid of BLR and HODLR (requires ButterfyPACK support, configure with --download-butterflypack)
2352: . `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)
2353: . `MAT_STRUMPACK_COMPRESSION_TYPE_LOSSLESS` - lossless compression (requires ZFP support, configure with --download-zfp)
2354: - `MAT_STRUMPACK_COMPRESSION_TYPE_LOSSY` - lossy compression (requires ZFP support, configure with --download-zfp)
2356: Level: intermediate
2358: .seealso: `Mat`, `MATSOLVERSTRUMPACK`, `MatGetFactor()`, `MatSTRUMPACKSetCompression()`
2359: E*/
2360: typedef enum {
2361: MAT_STRUMPACK_COMPRESSION_TYPE_NONE,
2362: MAT_STRUMPACK_COMPRESSION_TYPE_HSS,
2363: MAT_STRUMPACK_COMPRESSION_TYPE_BLR,
2364: MAT_STRUMPACK_COMPRESSION_TYPE_HODLR,
2365: MAT_STRUMPACK_COMPRESSION_TYPE_BLR_HODLR,
2366: MAT_STRUMPACK_COMPRESSION_TYPE_ZFP_BLR_HODLR,
2367: MAT_STRUMPACK_COMPRESSION_TYPE_LOSSLESS,
2368: MAT_STRUMPACK_COMPRESSION_TYPE_LOSSY
2369: } MatSTRUMPACKCompressionType;
2371: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompression(Mat, MatSTRUMPACKCompressionType);
2372: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompression(Mat, MatSTRUMPACKCompressionType *);
2373: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompRelTol(Mat, PetscReal);
2374: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompRelTol(Mat, PetscReal *);
2375: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompAbsTol(Mat, PetscReal);
2376: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompAbsTol(Mat, PetscReal *);
2377: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompMinSepSize(Mat, PetscInt);
2378: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompMinSepSize(Mat, PetscInt *);
2379: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompLeafSize(Mat, PetscInt);
2380: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompLeafSize(Mat, PetscInt *);
2381: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompLossyPrecision(Mat, PetscInt);
2382: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompLossyPrecision(Mat, PetscInt *);
2383: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompButterflyLevels(Mat, PetscInt);
2384: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompButterflyLevels(Mat, PetscInt *);
2385: #endif
2387: PETSC_EXTERN PetscErrorCode MatBindToCPU(Mat, PetscBool);
2388: PETSC_EXTERN PetscErrorCode MatBoundToCPU(Mat, PetscBool *);
2389: PETSC_DEPRECATED_FUNCTION(3, 13, 0, "MatBindToCPU()", ) static inline PetscErrorCode MatPinToCPU(Mat A, PetscBool flg)
2390: {
2391: return MatBindToCPU(A, flg);
2392: }
2393: PETSC_EXTERN PetscErrorCode MatSetBindingPropagates(Mat, PetscBool);
2394: PETSC_EXTERN PetscErrorCode MatGetBindingPropagates(Mat, PetscBool *);
2396: #ifdef PETSC_HAVE_CUDA
2397: /*E
2398: MatCUSPARSEStorageFormat - indicates the storage format for `MATAIJCUSPARSE` (GPU)
2399: matrices.
2401: Values:
2402: + `MAT_CUSPARSE_CSR` - Compressed Sparse Row
2403: . `MAT_CUSPARSE_ELL` - Ellpack (requires CUDA 4.2 or later).
2404: - `MAT_CUSPARSE_HYB` - Hybrid, a combination of Ellpack and Coordinate format (requires CUDA 4.2 or later).
2406: Level: intermediate
2408: .seealso: [](ch_matrices), `MATAIJCUSPARSE`, `MatCUSPARSESetFormat()`, `MatCUSPARSEFormatOperation`
2409: E*/
2411: typedef enum {
2412: MAT_CUSPARSE_CSR,
2413: MAT_CUSPARSE_ELL,
2414: MAT_CUSPARSE_HYB
2415: } MatCUSPARSEStorageFormat;
2417: /* these will be strings associated with enumerated type defined above */
2418: PETSC_EXTERN const char *const MatCUSPARSEStorageFormats[];
2420: /*E
2421: MatCUSPARSEFormatOperation - indicates the operation of `MATAIJCUSPARSE` (GPU)
2422: matrices whose operation should use a particular storage format.
2424: Values:
2425: + `MAT_CUSPARSE_MULT_DIAG` - sets the storage format for the diagonal matrix in the parallel `MatMult()`
2426: . `MAT_CUSPARSE_MULT_OFFDIAG` - sets the storage format for the off-diagonal matrix in the parallel `MatMult()`
2427: . `MAT_CUSPARSE_MULT` - sets the storage format for the entire matrix in the serial (single GPU) `MatMult()`
2428: - `MAT_CUSPARSE_ALL` - sets the storage format for all `MATAIJCUSPARSE` (GPU) matrices
2430: Level: intermediate
2432: .seealso: [](ch_matrices), `MatCUSPARSESetFormat()`, `MatCUSPARSEStorageFormat`
2433: E*/
2434: typedef enum {
2435: MAT_CUSPARSE_MULT_DIAG,
2436: MAT_CUSPARSE_MULT_OFFDIAG,
2437: MAT_CUSPARSE_MULT,
2438: MAT_CUSPARSE_ALL
2439: } MatCUSPARSEFormatOperation;
2441: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCUSPARSE(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
2442: PETSC_EXTERN PetscErrorCode MatCreateAIJCUSPARSE(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
2443: PETSC_EXTERN PetscErrorCode MatCUSPARSESetFormat(Mat, MatCUSPARSEFormatOperation, MatCUSPARSEStorageFormat);
2444: PETSC_EXTERN PetscErrorCode MatCUSPARSESetUseCPUSolve(Mat, PetscBool);
2445: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSEGetIJ(Mat, PetscBool, const int **, const int **);
2446: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSERestoreIJ(Mat, PetscBool, const int **, const int **);
2447: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSEGetArrayRead(Mat, const PetscScalar **);
2448: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSERestoreArrayRead(Mat, const PetscScalar **);
2449: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSEGetArrayWrite(Mat, PetscScalar **);
2450: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSERestoreArrayWrite(Mat, PetscScalar **);
2451: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSEGetArray(Mat, PetscScalar **);
2452: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSERestoreArray(Mat, PetscScalar **);
2454: PETSC_EXTERN PetscErrorCode MatCreateDenseCUDA(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar[], Mat *);
2455: PETSC_EXTERN PetscErrorCode MatCreateSeqDenseCUDA(MPI_Comm, PetscInt, PetscInt, PetscScalar[], Mat *);
2456: PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArrayWrite(Mat, PetscScalar **);
2457: PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArrayRead(Mat, const PetscScalar **);
2458: PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArray(Mat, PetscScalar **);
2459: PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArrayWrite(Mat, PetscScalar **);
2460: PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArrayRead(Mat, const PetscScalar **);
2461: PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArray(Mat, PetscScalar **);
2462: PETSC_EXTERN PetscErrorCode MatDenseCUDAPlaceArray(Mat, const PetscScalar *);
2463: PETSC_EXTERN PetscErrorCode MatDenseCUDAReplaceArray(Mat, const PetscScalar *);
2464: PETSC_EXTERN PetscErrorCode MatDenseCUDAResetArray(Mat);
2465: PETSC_EXTERN PetscErrorCode MatDenseCUDASetPreallocation(Mat, PetscScalar *);
2467: PETSC_EXTERN PetscErrorCode MatCreateSeqSELLCUDA(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
2468: PETSC_EXTERN PetscErrorCode MatCreateSELLCUDA(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
2469: #endif
2471: #ifdef PETSC_HAVE_HIP
2472: /*E
2473: MatHIPSPARSEStorageFormat - indicates the storage format for `MATAIJHIPSPARSE` (GPU)
2474: matrices.
2476: Values:
2477: + `MAT_HIPSPARSE_CSR` - Compressed Sparse Row
2478: . `MAT_HIPSPARSE_ELL` - Ellpack
2479: - `MAT_HIPSPARSE_HYB` - Hybrid, a combination of Ellpack and Coordinate format
2481: Level: intermediate
2483: .seealso: [](ch_matrices), `MatHIPSPARSESetFormat()`, `MatHIPSPARSEFormatOperation`
2484: E*/
2486: typedef enum {
2487: MAT_HIPSPARSE_CSR,
2488: MAT_HIPSPARSE_ELL,
2489: MAT_HIPSPARSE_HYB
2490: } MatHIPSPARSEStorageFormat;
2492: /* these will be strings associated with enumerated type defined above */
2493: PETSC_EXTERN const char *const MatHIPSPARSEStorageFormats[];
2495: /*E
2496: MatHIPSPARSEFormatOperation - indicates the operation of `MATAIJHIPSPARSE` (GPU)
2497: matrices whose operation should use a particular storage format.
2499: Values:
2500: + `MAT_HIPSPARSE_MULT_DIAG` - sets the storage format for the diagonal matrix in the parallel `MatMult()`
2501: . `MAT_HIPSPARSE_MULT_OFFDIAG` - sets the storage format for the off-diagonal matrix in the parallel `MatMult()`
2502: . `MAT_HIPSPARSE_MULT` - sets the storage format for the entire matrix in the serial (single GPU) `MatMult()`
2503: - `MAT_HIPSPARSE_ALL` - sets the storage format for all HIPSPARSE (GPU) matrices
2505: Level: intermediate
2507: .seealso: [](ch_matrices), `MatHIPSPARSESetFormat()`, `MatHIPSPARSEStorageFormat`
2508: E*/
2509: typedef enum {
2510: MAT_HIPSPARSE_MULT_DIAG,
2511: MAT_HIPSPARSE_MULT_OFFDIAG,
2512: MAT_HIPSPARSE_MULT,
2513: MAT_HIPSPARSE_ALL
2514: } MatHIPSPARSEFormatOperation;
2516: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJHIPSPARSE(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
2517: PETSC_EXTERN PetscErrorCode MatCreateAIJHIPSPARSE(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
2518: PETSC_EXTERN PetscErrorCode MatHIPSPARSESetFormat(Mat, MatHIPSPARSEFormatOperation, MatHIPSPARSEStorageFormat);
2519: PETSC_EXTERN PetscErrorCode MatHIPSPARSESetUseCPUSolve(Mat, PetscBool);
2520: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSEGetIJ(Mat, PetscBool, const int **, const int **);
2521: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSERestoreIJ(Mat, PetscBool, const int **, const int **);
2522: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSEGetArrayRead(Mat, const PetscScalar **);
2523: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSERestoreArrayRead(Mat, const PetscScalar **);
2524: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSEGetArrayWrite(Mat, PetscScalar **);
2525: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSERestoreArrayWrite(Mat, PetscScalar **);
2526: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSEGetArray(Mat, PetscScalar **);
2527: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSERestoreArray(Mat, PetscScalar **);
2529: PETSC_EXTERN PetscErrorCode MatCreateDenseHIP(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar[], Mat *);
2530: PETSC_EXTERN PetscErrorCode MatCreateSeqDenseHIP(MPI_Comm, PetscInt, PetscInt, PetscScalar[], Mat *);
2531: PETSC_EXTERN PetscErrorCode MatDenseHIPGetArrayWrite(Mat, PetscScalar **);
2532: PETSC_EXTERN PetscErrorCode MatDenseHIPGetArrayRead(Mat, const PetscScalar **);
2533: PETSC_EXTERN PetscErrorCode MatDenseHIPGetArray(Mat, PetscScalar **);
2534: PETSC_EXTERN PetscErrorCode MatDenseHIPRestoreArrayWrite(Mat, PetscScalar **);
2535: PETSC_EXTERN PetscErrorCode MatDenseHIPRestoreArrayRead(Mat, const PetscScalar **);
2536: PETSC_EXTERN PetscErrorCode MatDenseHIPRestoreArray(Mat, PetscScalar **);
2537: PETSC_EXTERN PetscErrorCode MatDenseHIPPlaceArray(Mat, const PetscScalar *);
2538: PETSC_EXTERN PetscErrorCode MatDenseHIPReplaceArray(Mat, const PetscScalar *);
2539: PETSC_EXTERN PetscErrorCode MatDenseHIPResetArray(Mat);
2540: PETSC_EXTERN PetscErrorCode MatDenseHIPSetPreallocation(Mat, PetscScalar *);
2541: PETSC_EXTERN PetscErrorCode MatCreateSeqSELLHIP(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
2542: PETSC_EXTERN PetscErrorCode MatCreateSELLHIP(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
2543: #endif
2545: #if defined(PETSC_HAVE_VIENNACL)
2546: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJViennaCL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
2547: PETSC_EXTERN PetscErrorCode MatCreateAIJViennaCL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
2548: #endif
2550: #if PetscDefined(HAVE_KOKKOS)
2551: PETSC_EXTERN PetscErrorCode MatCreateAIJKokkos(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
2552: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJKokkos(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
2553: #endif
2555: #if defined(PETSC_HAVE_FFTW)
2556: PETSC_EXTERN PetscErrorCode VecScatterPetscToFFTW(Mat, Vec, Vec);
2557: PETSC_EXTERN PetscErrorCode VecScatterFFTWToPetsc(Mat, Vec, Vec);
2558: PETSC_EXTERN PetscErrorCode MatCreateVecsFFTW(Mat, Vec *, Vec *, Vec *);
2559: #endif
2561: #if defined(PETSC_HAVE_SCALAPACK)
2562: PETSC_EXTERN PetscErrorCode MatCreateScaLAPACK(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, Mat *);
2563: PETSC_EXTERN PetscErrorCode MatScaLAPACKSetBlockSizes(Mat, PetscInt, PetscInt);
2564: PETSC_EXTERN PetscErrorCode MatScaLAPACKGetBlockSizes(Mat, PetscInt *, PetscInt *);
2565: #endif
2567: PETSC_EXTERN PetscErrorCode MatCreateNest(MPI_Comm, PetscInt, const IS[], PetscInt, const IS[], const Mat[], Mat *);
2568: PETSC_EXTERN PetscErrorCode MatNestGetSize(Mat, PetscInt *, PetscInt *);
2569: PETSC_EXTERN PetscErrorCode MatNestGetISs(Mat, IS[], IS[]);
2570: PETSC_EXTERN PetscErrorCode MatNestGetLocalISs(Mat, IS[], IS[]);
2571: PETSC_EXTERN PetscErrorCode MatNestGetSubMats(Mat, PetscInt *, PetscInt *, Mat ***);
2572: PETSC_EXTERN PetscErrorCode MatNestGetSubMat(Mat, PetscInt, PetscInt, Mat *);
2573: PETSC_EXTERN PetscErrorCode MatNestSetVecType(Mat, VecType);
2574: PETSC_EXTERN PetscErrorCode MatNestSetSubMats(Mat, PetscInt, const IS[], PetscInt, const IS[], const Mat[]);
2575: PETSC_EXTERN PetscErrorCode MatNestSetSubMat(Mat, PetscInt, PetscInt, Mat);
2577: PETSC_EXTERN PetscErrorCode MatFilter(Mat, PetscReal, PetscBool, PetscBool);
2578: PETSC_DEPRECATED_FUNCTION(3, 20, 0, "MatFilter()", ) static inline PetscErrorCode MatChop(Mat A, PetscReal tol)
2579: {
2580: return MatFilter(A, tol, PETSC_FALSE, PETSC_FALSE);
2581: }
2582: PETSC_EXTERN PetscErrorCode MatComputeBandwidth(Mat, PetscReal, PetscInt *);
2584: PETSC_EXTERN PetscErrorCode MatSubdomainsCreateCoalesce(Mat, PetscInt, PetscInt *, IS **);
2586: PETSC_EXTERN PetscErrorCode MatPreallocatorPreallocate(Mat, PetscBool, Mat);
2588: PETSC_EXTERN PetscErrorCode MatHeaderMerge(Mat, Mat *);
2589: PETSC_EXTERN PetscErrorCode MatHeaderReplace(Mat, Mat *);
2591: PETSC_EXTERN PetscErrorCode MatSeqAIJGetCSRAndMemType(Mat, const PetscInt **, const PetscInt **, PetscScalar **, PetscMemType *);
2593: PETSC_EXTERN PetscErrorCode MatCreateGraph(Mat, PetscBool, PetscBool, PetscReal, PetscInt, PetscInt[], Mat *);
2594: PETSC_EXTERN PetscErrorCode MatEliminateZeros(Mat, PetscBool);
2596: PETSC_EXTERN PetscErrorCode MatCreateDenseFromVecType(MPI_Comm, VecType, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar *, Mat *);
2598: PETSC_EXTERN PetscErrorCode MatSetHPL(Mat, int);
2599: #define PETSCBMHPL "hpl"