Actual source code: petscmat.h
petsc-3.13.6 2020-09-29
1: /*
2: Include file for the matrix component of PETSc
3: */
4: #ifndef PETSCMAT_H
5: #define PETSCMAT_H
6: #include <petscvec.h>
8: /*S
9: Mat - Abstract PETSc matrix object used to manage all linear operators in PETSc, even those without
10: an explicit sparse representation (such as matrix-free operators)
12: Level: beginner
14: .seealso: MatCreate(), MatType, MatSetType(), MatDestroy()
15: S*/
16: typedef struct _p_Mat* Mat;
18: /*J
19: MatType - String with the name of a PETSc matrix type
21: Level: beginner
23: .seealso: MatSetType(), Mat, MatSolverType, MatRegister()
24: J*/
25: typedef const char* MatType;
26: #define MATSAME "same"
27: #define MATMAIJ "maij"
28: #define MATSEQMAIJ "seqmaij"
29: #define MATMPIMAIJ "mpimaij"
30: #define MATKAIJ "kaij"
31: #define MATSEQKAIJ "seqkaij"
32: #define MATMPIKAIJ "mpikaij"
33: #define MATIS "is"
34: #define MATAIJ "aij"
35: #define MATSEQAIJ "seqaij"
36: #define MATMPIAIJ "mpiaij"
37: #define MATAIJCRL "aijcrl"
38: #define MATSEQAIJCRL "seqaijcrl"
39: #define MATMPIAIJCRL "mpiaijcrl"
40: #define MATAIJCUSPARSE "aijcusparse"
41: #define MATSEQAIJCUSPARSE "seqaijcusparse"
42: #define MATMPIAIJCUSPARSE "mpiaijcusparse"
43: #define MATAIJVIENNACL "aijviennacl"
44: #define MATSEQAIJVIENNACL "seqaijviennacl"
45: #define MATMPIAIJVIENNACL "mpiaijviennacl"
46: #define MATAIJPERM "aijperm"
47: #define MATSEQAIJPERM "seqaijperm"
48: #define MATMPIAIJPERM "mpiaijperm"
49: #define MATAIJSELL "aijsell"
50: #define MATSEQAIJSELL "seqaijsell"
51: #define MATMPIAIJSELL "mpiaijsell"
52: #define MATAIJMKL "aijmkl"
53: #define MATSEQAIJMKL "seqaijmkl"
54: #define MATMPIAIJMKL "mpiaijmkl"
55: #define MATBAIJMKL "baijmkl"
56: #define MATSEQBAIJMKL "seqbaijmkl"
57: #define MATMPIBAIJMKL "mpibaijmkl"
58: #define MATSHELL "shell"
59: #define MATDENSE "dense"
60: #define MATSEQDENSE "seqdense"
61: #define MATSEQDENSECUDA "seqdensecuda"
62: #define MATMPIDENSE "mpidense"
63: #define MATELEMENTAL "elemental"
64: #define MATBAIJ "baij"
65: #define MATSEQBAIJ "seqbaij"
66: #define MATMPIBAIJ "mpibaij"
67: #define MATMPIADJ "mpiadj"
68: #define MATSBAIJ "sbaij"
69: #define MATSEQSBAIJ "seqsbaij"
70: #define MATMPISBAIJ "mpisbaij"
71: #define MATDAAD "daad"
72: #define MATMFFD "mffd"
73: #define MATNORMAL "normal"
74: #define MATNORMALHERMITIAN "normalh"
75: #define MATLRC "lrc"
76: #define MATSCATTER "scatter"
77: #define MATBLOCKMAT "blockmat"
78: #define MATCOMPOSITE "composite"
79: #define MATFFT "fft"
80: #define MATFFTW "fftw"
81: #define MATSEQCUFFT "seqcufft"
82: #define MATTRANSPOSEMAT "transpose"
83: #define MATSCHURCOMPLEMENT "schurcomplement"
84: #define MATPYTHON "python"
85: #define MATHYPRE "hypre"
86: #define MATHYPRESTRUCT "hyprestruct"
87: #define MATHYPRESSTRUCT "hypresstruct"
88: #define MATSUBMATRIX "submatrix"
89: #define MATLOCALREF "localref"
90: #define MATNEST "nest"
91: #define MATPREALLOCATOR "preallocator"
92: #define MATSELL "sell"
93: #define MATSEQSELL "seqsell"
94: #define MATMPISELL "mpisell"
95: #define MATDUMMY "dummy"
96: #define MATLMVM "lmvm"
97: #define MATLMVMDFP "lmvmdfp"
98: #define MATLMVMBFGS "lmvmbfgs"
99: #define MATLMVMSR1 "lmvmsr1"
100: #define MATLMVMBROYDEN "lmvmbroyden"
101: #define MATLMVMBADBROYDEN "lmvmbadbroyden"
102: #define MATLMVMSYMBROYDEN "lmvmsymbroyden"
103: #define MATLMVMSYMBADBROYDEN "lmvmsymbadbroyden"
104: #define MATLMVMDIAGBROYDEN "lmvmdiagbroyden"
105: #define MATCONSTANTDIAGONAL "constantdiagonal"
107: /*J
108: MatSolverType - String with the name of a PETSc matrix solver type.
110: For example: "petsc" indicates what PETSc provides, "superlu_dist" the parallel SuperLU_DIST package etc
112: Level: beginner
114: Notes: MATSOLVERUMFPACK, MATSOLVERCHOLMOD, MATSOLVERKLU form the SuiteSparse package for which you can use --download-suitesparse
116: .seealso: MatGetFactor(), PCFactorSetMatSolverType(), PCFactorGetMatSolverType()
117: J*/
118: typedef const char* MatSolverType;
119: #define MATSOLVERSUPERLU "superlu"
120: #define MATSOLVERSUPERLU_DIST "superlu_dist"
121: #define MATSOLVERSTRUMPACK "strumpack"
122: #define MATSOLVERUMFPACK "umfpack"
123: #define MATSOLVERCHOLMOD "cholmod"
124: #define MATSOLVERKLU "klu"
125: #define MATSOLVERSPARSEELEMENTAL "sparseelemental"
126: #define MATSOLVERELEMENTAL "elemental"
127: #define MATSOLVERESSL "essl"
128: #define MATSOLVERLUSOL "lusol"
129: #define MATSOLVERMUMPS "mumps"
130: #define MATSOLVERMKL_PARDISO "mkl_pardiso"
131: #define MATSOLVERMKL_CPARDISO "mkl_cpardiso"
132: #define MATSOLVERPASTIX "pastix"
133: #define MATSOLVERMATLAB "matlab"
134: #define MATSOLVERPETSC "petsc"
135: #define MATSOLVERBAS "bas"
136: #define MATSOLVERCUSPARSE "cusparse"
137: #define MATSOLVERCUDA "cuda"
139: /*E
140: MatFactorType - indicates what type of factorization is requested
142: Level: beginner
144: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
146: .seealso: MatSolverType, MatGetFactor()
147: E*/
148: typedef enum {MAT_FACTOR_NONE, MAT_FACTOR_LU, MAT_FACTOR_CHOLESKY, MAT_FACTOR_ILU, MAT_FACTOR_ICC,MAT_FACTOR_ILUDT} MatFactorType;
149: PETSC_EXTERN const char *const MatFactorTypes[];
151: PETSC_EXTERN PetscErrorCode MatGetFactor(Mat,MatSolverType,MatFactorType,Mat*);
152: PETSC_EXTERN PetscErrorCode MatGetFactorAvailable(Mat,MatSolverType,MatFactorType,PetscBool *);
153: PETSC_EXTERN PetscErrorCode MatFactorGetSolverType(Mat,MatSolverType*);
154: PETSC_EXTERN PetscErrorCode MatGetFactorType(Mat,MatFactorType*);
155: PETSC_EXTERN PetscErrorCode MatSetFactorType(Mat,MatFactorType);
156: PETSC_EXTERN PetscErrorCode MatSolverTypeRegister(MatSolverType,MatType,MatFactorType,PetscErrorCode(*)(Mat,MatFactorType,Mat*));
157: PETSC_EXTERN PetscErrorCode MatSolverTypeGet(MatSolverType,MatType,MatFactorType,PetscBool*,PetscBool*,PetscErrorCode (**)(Mat,MatFactorType,Mat*));
158: typedef MatSolverType MatSolverPackage PETSC_DEPRECATED_TYPEDEF("Use MatSolverType (since version 3.9)");
159: PETSC_DEPRECATED_FUNCTION("Use MatSolverTypeRegister() (since version 3.9)") PETSC_STATIC_INLINE PetscErrorCode MatSolverPackageRegister(MatSolverType stype,MatType mtype,MatFactorType ftype,PetscErrorCode(*f)(Mat,MatFactorType,Mat*))
160: { return MatSolverTypeRegister(stype,mtype,ftype,f); }
161: PETSC_DEPRECATED_FUNCTION("Use MatSolverTypeGet() (since version 3.9)") PETSC_STATIC_INLINE PetscErrorCode MatSolverPackageGet(MatSolverType stype,MatType mtype,MatFactorType ftype,PetscBool *foundmtype,PetscBool *foundstype,PetscErrorCode(**f)(Mat,MatFactorType,Mat*))
162: { return MatSolverTypeGet(stype,mtype,ftype,foundmtype,foundstype,f); }
164: /*E
165: MatProductType - indicates what type of matrix product is requested
167: Level: beginner
169: .seealso: MatSolverType, MatProductSetType()
170: E*/
171: typedef enum {MATPRODUCT_AB,MATPRODUCT_AtB,MATPRODUCT_ABt,MATPRODUCT_PtAP,MATPRODUCT_RARt,MATPRODUCT_ABC} MatProductType;
172: PETSC_EXTERN const char *const MatProductTypes[];
174: /*J
175: MatProductAlgorithm - String with the name of an algorithm for a PETSc matrix product implementation
177: Level: beginner
179: .seealso: MatSetType(), Mat, MatSolverType, MatRegister(), MatProductSetAlgorithm(), MatProductType
180: J*/
181: typedef const char* MatProductAlgorithm;
182: #define MATPRODUCTALGORITHM_DEFAULT "default"
184: PETSC_EXTERN PetscErrorCode MatProductCreate(Mat,Mat,Mat,Mat*);
185: PETSC_EXTERN PetscErrorCode MatProductCreateWithMat(Mat,Mat,Mat,Mat);
186: PETSC_EXTERN PetscErrorCode MatProductSetType(Mat,MatProductType);
187: PETSC_EXTERN PetscErrorCode MatProductSetAlgorithm(Mat,MatProductAlgorithm);
188: PETSC_EXTERN PetscErrorCode MatProductSetFill(Mat,PetscReal);
189: PETSC_EXTERN PetscErrorCode MatProductSetFromOptions(Mat);
190: PETSC_EXTERN PetscErrorCode MatProductSymbolic(Mat);
191: PETSC_EXTERN PetscErrorCode MatProductNumeric(Mat);
192: PETSC_EXTERN PetscErrorCode MatProductReplaceMats(Mat,Mat,Mat,Mat);
193: PETSC_EXTERN PetscErrorCode MatProductClear(Mat);
195: /* Logging support */
196: #define MAT_FILE_CLASSID 1211216 /* used to indicate matrices in binary files */
197: PETSC_EXTERN PetscClassId MAT_CLASSID;
198: PETSC_EXTERN PetscClassId MAT_COLORING_CLASSID;
199: PETSC_EXTERN PetscClassId MAT_FDCOLORING_CLASSID;
200: PETSC_EXTERN PetscClassId MAT_TRANSPOSECOLORING_CLASSID;
201: PETSC_EXTERN PetscClassId MAT_PARTITIONING_CLASSID;
202: PETSC_EXTERN PetscClassId MAT_COARSEN_CLASSID;
203: PETSC_EXTERN PetscClassId MAT_NULLSPACE_CLASSID;
204: PETSC_EXTERN PetscClassId MATMFFD_CLASSID;
206: /*E
207: MatReuse - Indicates if matrices obtained from a previous call to MatCreateSubMatrices(), MatCreateSubMatrix(), MatConvert() or several other functions
208: are to be reused to store the new matrix values.
210: $ MAT_INITIAL_MATRIX - create a new matrix
211: $ MAT_REUSE_MATRIX - reuse the matrix created with a previous call that used MAT_INITIAL_MATRIX
212: $ MAT_INPLACE_MATRIX - replace the first input matrix with the new matrix (not applicable to all functions)
213: $ MAT_IGNORE_MATRIX - do not create a new matrix or reuse a give matrix, just ignore that matrix argument (not applicable to all functions)
215: Level: beginner
217: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
219: .seealso: MatCreateSubMatrices(), MatCreateSubMatrix(), MatDestroyMatrices(), MatConvert()
220: E*/
221: typedef enum {MAT_INITIAL_MATRIX,MAT_REUSE_MATRIX,MAT_IGNORE_MATRIX,MAT_INPLACE_MATRIX} MatReuse;
223: /*E
224: MatCreateSubMatrixOption - Indicates if matrices obtained from a call to MatCreateSubMatrices()
225: include the matrix values. Currently it is only used by MatGetSeqNonzerostructure().
227: Level: beginner
229: .seealso: MatGetSeqNonzerostructure()
230: E*/
231: typedef enum {MAT_DO_NOT_GET_VALUES,MAT_GET_VALUES} MatCreateSubMatrixOption;
233: PETSC_EXTERN PetscErrorCode MatInitializePackage(void);
235: PETSC_EXTERN PetscErrorCode MatCreate(MPI_Comm,Mat*);
236: PETSC_EXTERN PetscErrorCode MatSetSizes(Mat,PetscInt,PetscInt,PetscInt,PetscInt);
237: PETSC_EXTERN PetscErrorCode MatSetType(Mat,MatType);
238: PETSC_EXTERN PetscErrorCode MatSetFromOptions(Mat);
239: PETSC_EXTERN PetscErrorCode MatViewFromOptions(Mat,PetscObject,const char[]);
240: PETSC_EXTERN PetscErrorCode MatRegister(const char[],PetscErrorCode(*)(Mat));
241: PETSC_EXTERN PetscErrorCode MatRegisterRootName(const char[],const char[],const char[]);
242: PETSC_EXTERN PetscErrorCode MatSetOptionsPrefix(Mat,const char[]);
243: PETSC_EXTERN PetscErrorCode MatAppendOptionsPrefix(Mat,const char[]);
244: PETSC_EXTERN PetscErrorCode MatGetOptionsPrefix(Mat,const char*[]);
245: PETSC_EXTERN PetscErrorCode MatSetErrorIfFailure(Mat,PetscBool);
247: PETSC_EXTERN PetscFunctionList MatList;
248: PETSC_EXTERN PetscFunctionList MatColoringList;
249: PETSC_EXTERN PetscFunctionList MatPartitioningList;
251: /*E
252: MatStructure - Indicates if two matrices have the same nonzero structure
254: Level: beginner
256: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
258: .seealso: MatCopy(), MatAXPY()
259: E*/
260: typedef enum {DIFFERENT_NONZERO_PATTERN,SUBSET_NONZERO_PATTERN,SAME_NONZERO_PATTERN} MatStructure;
262: #if defined PETSC_HAVE_MKL_SPARSE
263: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
264: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
265: PETSC_EXTERN PetscErrorCode MatCreateBAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
266: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
267: #endif
269: PETSC_EXTERN PetscErrorCode MatCreateSeqSELL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
270: PETSC_EXTERN PetscErrorCode MatCreateSELL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
271: PETSC_EXTERN PetscErrorCode MatSeqSELLSetPreallocation(Mat,PetscInt,const PetscInt[]);
272: PETSC_EXTERN PetscErrorCode MatMPISELLSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
274: PETSC_EXTERN PetscErrorCode MatCreateSeqDense(MPI_Comm,PetscInt,PetscInt,PetscScalar[],Mat*);
275: PETSC_EXTERN PetscErrorCode MatCreateDense(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscScalar[],Mat*);
276: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
277: PETSC_EXTERN PetscErrorCode MatCreateAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
278: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat *);
279: PETSC_EXTERN PetscErrorCode MatUpdateMPIAIJWithArrays(Mat,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
280: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSplitArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],PetscInt[],PetscInt[],PetscScalar[],Mat*);
281: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSeqAIJ(MPI_Comm,Mat,Mat,const PetscInt[],Mat*);
283: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
284: PETSC_EXTERN PetscErrorCode MatCreateBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
285: PETSC_EXTERN PetscErrorCode MatCreateMPIBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat*);
287: PETSC_EXTERN PetscErrorCode MatCreateMPIAdj(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscInt[],Mat*);
288: PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
290: PETSC_EXTERN PetscErrorCode MatCreateSBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
291: PETSC_EXTERN PetscErrorCode MatCreateMPISBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat *);
292: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
293: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
294: PETSC_EXTERN PetscErrorCode MatXAIJSetPreallocation(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscInt[],const PetscInt[]);
296: PETSC_EXTERN PetscErrorCode MatCreateShell(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,void *,Mat*);
297: PETSC_EXTERN PetscErrorCode MatCreateNormal(Mat,Mat*);
298: PETSC_EXTERN PetscErrorCode MatCreateNormalHermitian(Mat,Mat*);
299: PETSC_EXTERN PetscErrorCode MatCreateLRC(Mat,Mat,Vec,Mat,Mat*);
300: PETSC_EXTERN PetscErrorCode MatLRCGetMats(Mat,Mat*,Mat*,Vec*,Mat*);
301: PETSC_EXTERN PetscErrorCode MatCreateIS(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,ISLocalToGlobalMapping,ISLocalToGlobalMapping,Mat*);
302: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCRL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
303: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJCRL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
305: PETSC_EXTERN PetscErrorCode MatCreateScatter(MPI_Comm,VecScatter,Mat*);
306: PETSC_EXTERN PetscErrorCode MatScatterSetVecScatter(Mat,VecScatter);
307: PETSC_EXTERN PetscErrorCode MatScatterGetVecScatter(Mat,VecScatter*);
308: PETSC_EXTERN PetscErrorCode MatCreateBlockMat(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt*,Mat*);
309: PETSC_EXTERN PetscErrorCode MatCompositeAddMat(Mat,Mat);
310: PETSC_EXTERN PetscErrorCode MatCompositeMerge(Mat);
311: typedef enum {MAT_COMPOSITE_MERGE_RIGHT,MAT_COMPOSITE_MERGE_LEFT} MatCompositeMergeType;
312: PETSC_EXTERN PetscErrorCode MatCompositeSetMergeType(Mat,MatCompositeMergeType);
313: PETSC_EXTERN PetscErrorCode MatCreateComposite(MPI_Comm,PetscInt,const Mat*,Mat*);
314: typedef enum {MAT_COMPOSITE_ADDITIVE,MAT_COMPOSITE_MULTIPLICATIVE} MatCompositeType;
315: PETSC_EXTERN PetscErrorCode MatCompositeSetType(Mat,MatCompositeType);
316: PETSC_EXTERN PetscErrorCode MatCompositeGetType(Mat,MatCompositeType*);
317: PETSC_EXTERN PetscErrorCode MatCompositeSetMatStructure(Mat,MatStructure);
318: PETSC_EXTERN PetscErrorCode MatCompositeGetMatStructure(Mat,MatStructure*);
319: PETSC_EXTERN PetscErrorCode MatCompositeGetNumberMat(Mat,PetscInt*);
320: PETSC_EXTERN PetscErrorCode MatCompositeGetMat(Mat,PetscInt,Mat*);
321: PETSC_EXTERN PetscErrorCode MatCompositeSetScalings(Mat,const PetscScalar*);
323: PETSC_EXTERN PetscErrorCode MatCreateFFT(MPI_Comm,PetscInt,const PetscInt[],MatType,Mat*);
324: PETSC_EXTERN PetscErrorCode MatCreateSeqCUFFT(MPI_Comm,PetscInt,const PetscInt[],Mat*);
326: PETSC_EXTERN PetscErrorCode MatCreateTranspose(Mat,Mat*);
327: PETSC_EXTERN PetscErrorCode MatTransposeGetMat(Mat,Mat*);
328: PETSC_EXTERN PetscErrorCode MatCreateHermitianTranspose(Mat,Mat*);
329: PETSC_EXTERN PetscErrorCode MatHermitianTransposeGetMat(Mat,Mat*);
330: PETSC_EXTERN PetscErrorCode MatCreateSubMatrixVirtual(Mat,IS,IS,Mat*);
331: PETSC_EXTERN PetscErrorCode MatSubMatrixVirtualUpdate(Mat,Mat,IS,IS);
332: PETSC_EXTERN PetscErrorCode MatCreateLocalRef(Mat,IS,IS,Mat*);
333: PETSC_EXTERN PetscErrorCode MatCreateConstantDiagonal(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscScalar,Mat*);
335: #if defined(PETSC_HAVE_HYPRE)
336: PETSC_EXTERN PetscErrorCode MatHYPRESetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
337: #endif
339: PETSC_EXTERN PetscErrorCode MatPythonSetType(Mat,const char[]);
341: PETSC_EXTERN PetscErrorCode MatResetPreallocation(Mat);
342: PETSC_EXTERN PetscErrorCode MatSetUp(Mat);
343: PETSC_EXTERN PetscErrorCode MatDestroy(Mat*);
344: PETSC_EXTERN PetscErrorCode MatGetNonzeroState(Mat,PetscObjectState*);
346: PETSC_EXTERN PetscErrorCode MatConjugate(Mat);
347: PETSC_EXTERN PetscErrorCode MatRealPart(Mat);
348: PETSC_EXTERN PetscErrorCode MatImaginaryPart(Mat);
349: PETSC_EXTERN PetscErrorCode MatGetDiagonalBlock(Mat,Mat*);
350: PETSC_EXTERN PetscErrorCode MatGetTrace(Mat,PetscScalar*);
351: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonal(Mat,const PetscScalar **);
352: PETSC_EXTERN PetscErrorCode MatInvertVariableBlockDiagonal(Mat,PetscInt,const PetscInt*,PetscScalar*);
353: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonalMat(Mat,Mat);
355: /* ------------------------------------------------------------*/
356: PETSC_EXTERN PetscErrorCode MatSetValues(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
357: PETSC_EXTERN PetscErrorCode MatSetValuesBlocked(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
358: PETSC_EXTERN PetscErrorCode MatSetValuesRow(Mat,PetscInt,const PetscScalar[]);
359: PETSC_EXTERN PetscErrorCode MatSetValuesRowLocal(Mat,PetscInt,const PetscScalar[]);
360: PETSC_EXTERN PetscErrorCode MatSetValuesBatch(Mat,PetscInt,PetscInt,PetscInt[],const PetscScalar[]);
361: PETSC_EXTERN PetscErrorCode MatSetRandom(Mat,PetscRandom);
363: /*S
364: MatStencil - Data structure (C struct) for storing information about a single row or
365: column of a matrix as indexed on an associated grid. These are arguments to MatSetStencil() and MatSetBlockStencil()
367: 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).
368: The c represents the the degrees of freedom at each grid point (the dof argument to DMDASetDOF()). If dof is 1 then this entry is ignored.
370: For stencil access to vectors see DMDAVecGetArray(), DMDAVecGetArrayF90().
372: Fortran usage is different, see MatSetValuesStencil() for details.
374: Level: beginner
376: .seealso: MatSetValuesStencil(), MatSetStencil(), MatSetValuesBlockedStencil(), DMDAVecGetArray(), DMDAVecGetArrayF90()
377: S*/
378: typedef struct {
379: PetscInt k,j,i,c;
380: } MatStencil;
382: PETSC_EXTERN PetscErrorCode MatSetValuesStencil(Mat,PetscInt,const MatStencil[],PetscInt,const MatStencil[],const PetscScalar[],InsertMode);
383: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedStencil(Mat,PetscInt,const MatStencil[],PetscInt,const MatStencil[],const PetscScalar[],InsertMode);
384: PETSC_EXTERN PetscErrorCode MatSetStencil(Mat,PetscInt,const PetscInt[],const PetscInt[],PetscInt);
386: /*E
387: MatAssemblyType - Indicates if the matrix is now to be used, or if you plan
388: to continue to add or insert values to it
390: Level: beginner
392: .seealso: MatAssemblyBegin(), MatAssemblyEnd()
393: E*/
394: typedef enum {MAT_FLUSH_ASSEMBLY=1,MAT_FINAL_ASSEMBLY=0} MatAssemblyType;
395: PETSC_EXTERN PetscErrorCode MatAssemblyBegin(Mat,MatAssemblyType);
396: PETSC_EXTERN PetscErrorCode MatAssemblyEnd(Mat,MatAssemblyType);
397: PETSC_EXTERN PetscErrorCode MatAssembled(Mat,PetscBool *);
401: /*E
402: MatOption - Options that may be set for a matrix and its behavior or storage
404: Level: beginner
406: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
407: Any additions/changes here must also be made in src/mat/interface/dlregismat.c in MatOptions[]
409: Developer Notes:
410: Entries that are negative need not be called collectively by all processes.
412: .seealso: MatSetOption()
413: E*/
414: typedef enum {MAT_OPTION_MIN = -3,
415: MAT_UNUSED_NONZERO_LOCATION_ERR = -2,
416: MAT_ROW_ORIENTED = -1,
417: MAT_SYMMETRIC = 1,
418: MAT_STRUCTURALLY_SYMMETRIC = 2,
419: MAT_NEW_DIAGONALS = 3,
420: MAT_IGNORE_OFF_PROC_ENTRIES = 4,
421: MAT_USE_HASH_TABLE = 5,
422: MAT_KEEP_NONZERO_PATTERN = 6,
423: MAT_IGNORE_ZERO_ENTRIES = 7,
424: MAT_USE_INODES = 8,
425: MAT_HERMITIAN = 9,
426: MAT_SYMMETRY_ETERNAL = 10,
427: MAT_NEW_NONZERO_LOCATION_ERR = 11,
428: MAT_IGNORE_LOWER_TRIANGULAR = 12,
429: MAT_ERROR_LOWER_TRIANGULAR = 13,
430: MAT_GETROW_UPPERTRIANGULAR = 14,
431: MAT_SPD = 15,
432: MAT_NO_OFF_PROC_ZERO_ROWS = 16,
433: MAT_NO_OFF_PROC_ENTRIES = 17,
434: MAT_NEW_NONZERO_LOCATIONS = 18,
435: MAT_NEW_NONZERO_ALLOCATION_ERR = 19,
436: MAT_SUBSET_OFF_PROC_ENTRIES = 20,
437: MAT_SUBMAT_SINGLEIS = 21,
438: MAT_STRUCTURE_ONLY = 22,
439: MAT_SORTED_FULL = 23,
440: MAT_OPTION_MAX = 24} MatOption;
442: PETSC_EXTERN const char *const *MatOptions;
443: PETSC_EXTERN PetscErrorCode MatSetOption(Mat,MatOption,PetscBool);
444: PETSC_EXTERN PetscErrorCode MatGetOption(Mat,MatOption,PetscBool*);
445: PETSC_EXTERN PetscErrorCode MatPropagateSymmetryOptions(Mat,Mat);
446: PETSC_EXTERN PetscErrorCode MatGetType(Mat,MatType*);
448: PETSC_EXTERN PetscErrorCode MatGetValues(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],PetscScalar[]);
449: PETSC_EXTERN PetscErrorCode MatGetRow(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
450: PETSC_EXTERN PetscErrorCode MatRestoreRow(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
451: PETSC_EXTERN PetscErrorCode MatGetRowUpperTriangular(Mat);
452: PETSC_EXTERN PetscErrorCode MatRestoreRowUpperTriangular(Mat);
453: PETSC_EXTERN PetscErrorCode MatGetColumnVector(Mat,Vec,PetscInt);
454: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArray(Mat,PetscScalar *[]);
455: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArrayRead(Mat,const PetscScalar *[]);
456: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArray(Mat,PetscScalar *[]);
457: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArrayRead(Mat,const PetscScalar *[]);
458: PETSC_EXTERN PetscErrorCode MatSeqAIJGetMaxRowNonzeros(Mat,PetscInt*);
459: PETSC_EXTERN PetscErrorCode MatSeqAIJSetValuesLocalFast(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
460: PETSC_EXTERN PetscErrorCode MatSeqAIJSetType(Mat,MatType);
461: PETSC_EXTERN PetscErrorCode MatSeqAIJRegister(const char[],PetscErrorCode (*)(Mat,MatType,MatReuse,Mat *));
462: PETSC_EXTERN PetscFunctionList MatSeqAIJList;
463: PETSC_EXTERN PetscErrorCode MatSeqBAIJGetArray(Mat,PetscScalar *[]);
464: PETSC_EXTERN PetscErrorCode MatSeqBAIJRestoreArray(Mat,PetscScalar *[]);
465: PETSC_EXTERN PetscErrorCode MatSeqSBAIJGetArray(Mat,PetscScalar *[]);
466: PETSC_EXTERN PetscErrorCode MatSeqSBAIJRestoreArray(Mat,PetscScalar *[]);
467: PETSC_EXTERN PetscErrorCode MatDenseGetArray(Mat,PetscScalar *[]);
468: PETSC_EXTERN PetscErrorCode MatDenseRestoreArray(Mat,PetscScalar *[]);
469: PETSC_EXTERN PetscErrorCode MatDensePlaceArray(Mat,const PetscScalar[]);
470: PETSC_EXTERN PetscErrorCode MatDenseResetArray(Mat);
471: PETSC_EXTERN PetscErrorCode MatDenseGetArrayRead(Mat,const PetscScalar *[]);
472: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayRead(Mat,const PetscScalar *[]);
473: PETSC_EXTERN PetscErrorCode MatGetBlockSize(Mat,PetscInt *);
474: PETSC_EXTERN PetscErrorCode MatSetBlockSize(Mat,PetscInt);
475: PETSC_EXTERN PetscErrorCode MatGetBlockSizes(Mat,PetscInt *,PetscInt *);
476: PETSC_EXTERN PetscErrorCode MatSetBlockSizes(Mat,PetscInt,PetscInt);
477: PETSC_EXTERN PetscErrorCode MatSetBlockSizesFromMats(Mat,Mat,Mat);
478: PETSC_EXTERN PetscErrorCode MatSetVariableBlockSizes(Mat,PetscInt,PetscInt*);
479: PETSC_EXTERN PetscErrorCode MatGetVariableBlockSizes(Mat,PetscInt*,const PetscInt**);
481: PETSC_EXTERN PetscErrorCode MatDenseGetColumn(Mat,PetscInt,PetscScalar *[]);
482: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumn(Mat,PetscScalar *[]);
484: PETSC_EXTERN PetscErrorCode MatMult(Mat,Vec,Vec);
485: PETSC_EXTERN PetscErrorCode MatMultDiagonalBlock(Mat,Vec,Vec);
486: PETSC_EXTERN PetscErrorCode MatMultAdd(Mat,Vec,Vec,Vec);
487: PETSC_EXTERN PetscErrorCode MatMultTranspose(Mat,Vec,Vec);
488: PETSC_EXTERN PetscErrorCode MatMultHermitianTranspose(Mat,Vec,Vec);
489: PETSC_EXTERN PetscErrorCode MatIsTranspose(Mat,Mat,PetscReal,PetscBool *);
490: PETSC_EXTERN PetscErrorCode MatIsHermitianTranspose(Mat,Mat,PetscReal,PetscBool *);
491: PETSC_EXTERN PetscErrorCode MatMultTransposeAdd(Mat,Vec,Vec,Vec);
492: PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeAdd(Mat,Vec,Vec,Vec);
493: PETSC_EXTERN PetscErrorCode MatMultConstrained(Mat,Vec,Vec);
494: PETSC_EXTERN PetscErrorCode MatMultTransposeConstrained(Mat,Vec,Vec);
495: PETSC_EXTERN PetscErrorCode MatMatSolve(Mat,Mat,Mat);
496: PETSC_EXTERN PetscErrorCode MatMatSolveTranspose(Mat,Mat,Mat);
497: PETSC_EXTERN PetscErrorCode MatMatTransposeSolve(Mat,Mat,Mat);
498: PETSC_EXTERN PetscErrorCode MatResidual(Mat,Vec,Vec,Vec);
500: /*E
501: MatDuplicateOption - Indicates if a duplicated sparse matrix should have
502: its numerical values copied over or just its nonzero structure.
504: Level: beginner
506: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
508: $ MAT_DO_NOT_COPY_VALUES - Create a matrix using the same nonzero pattern as the original matrix,
509: $ with zeros for the numerical values.
510: $ MAT_COPY_VALUES - Create a matrix with the same nonzero pattern as the original matrix
511: $ and with the same numerical values.
512: $ MAT_SHARE_NONZERO_PATTERN - Create a matrix that shares the nonzero structure with the previous matrix
513: $ and does not copy it, using zeros for the numerical values. The parent and
514: $ child matrices will share their index (i and j) arrays, and you cannot
515: $ insert new nonzero entries into either matrix.
517: Notes:
518: Many matrix types (including SeqAIJ) do not support the MAT_SHARE_NONZERO_PATTERN optimization; in
519: this case the behavior is as if MAT_DO_NOT_COPY_VALUES has been specified.
521: .seealso: MatDuplicate()
522: E*/
523: typedef enum {MAT_DO_NOT_COPY_VALUES,MAT_COPY_VALUES,MAT_SHARE_NONZERO_PATTERN} MatDuplicateOption;
525: PETSC_EXTERN PetscErrorCode MatConvert(Mat,MatType,MatReuse,Mat*);
526: PETSC_EXTERN PetscErrorCode MatDuplicate(Mat,MatDuplicateOption,Mat*);
529: PETSC_EXTERN PetscErrorCode MatCopy(Mat,Mat,MatStructure);
530: PETSC_EXTERN PetscErrorCode MatView(Mat,PetscViewer);
531: PETSC_EXTERN PetscErrorCode MatIsSymmetric(Mat,PetscReal,PetscBool *);
532: PETSC_EXTERN PetscErrorCode MatIsStructurallySymmetric(Mat,PetscBool *);
533: PETSC_EXTERN PetscErrorCode MatIsHermitian(Mat,PetscReal,PetscBool *);
534: PETSC_EXTERN PetscErrorCode MatIsSymmetricKnown(Mat,PetscBool *,PetscBool *);
535: PETSC_EXTERN PetscErrorCode MatIsHermitianKnown(Mat,PetscBool *,PetscBool *);
536: PETSC_EXTERN PetscErrorCode MatMissingDiagonal(Mat,PetscBool *,PetscInt *);
537: PETSC_EXTERN PetscErrorCode MatLoad(Mat, PetscViewer);
539: PETSC_EXTERN PetscErrorCode MatGetRowIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool *);
540: PETSC_EXTERN PetscErrorCode MatRestoreRowIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt *,const PetscInt *[],const PetscInt *[],PetscBool *);
541: PETSC_EXTERN PetscErrorCode MatGetColumnIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool *);
542: PETSC_EXTERN PetscErrorCode MatRestoreColumnIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt *,const PetscInt *[],const PetscInt *[],PetscBool *);
544: /*S
545: MatInfo - Context of matrix information, used with MatGetInfo()
547: In Fortran this is simply a double precision array of dimension MAT_INFO_SIZE
549: Level: intermediate
551: .seealso: MatGetInfo(), MatInfoType
552: S*/
553: typedef struct {
554: PetscLogDouble block_size; /* block size */
555: PetscLogDouble nz_allocated,nz_used,nz_unneeded; /* number of nonzeros */
556: PetscLogDouble memory; /* memory allocated */
557: PetscLogDouble assemblies; /* number of matrix assemblies called */
558: PetscLogDouble mallocs; /* number of mallocs during MatSetValues() */
559: PetscLogDouble fill_ratio_given,fill_ratio_needed; /* fill ratio for LU/ILU */
560: PetscLogDouble factor_mallocs; /* number of mallocs during factorization */
561: } MatInfo;
563: /*E
564: MatInfoType - Indicates if you want information about the local part of the matrix,
565: the entire parallel matrix or the maximum over all the local parts.
567: Level: beginner
569: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
571: .seealso: MatGetInfo(), MatInfo
572: E*/
573: typedef enum {MAT_LOCAL=1,MAT_GLOBAL_MAX=2,MAT_GLOBAL_SUM=3} MatInfoType;
574: PETSC_EXTERN PetscErrorCode MatGetInfo(Mat,MatInfoType,MatInfo*);
575: PETSC_EXTERN PetscErrorCode MatGetDiagonal(Mat,Vec);
576: PETSC_EXTERN PetscErrorCode MatGetRowMax(Mat,Vec,PetscInt[]);
577: PETSC_EXTERN PetscErrorCode MatGetRowMin(Mat,Vec,PetscInt[]);
578: PETSC_EXTERN PetscErrorCode MatGetRowMaxAbs(Mat,Vec,PetscInt[]);
579: PETSC_EXTERN PetscErrorCode MatGetRowMinAbs(Mat,Vec,PetscInt[]);
580: PETSC_EXTERN PetscErrorCode MatGetRowSum(Mat,Vec);
581: PETSC_EXTERN PetscErrorCode MatTranspose(Mat,MatReuse,Mat*);
582: PETSC_EXTERN PetscErrorCode MatHermitianTranspose(Mat,MatReuse,Mat*);
583: PETSC_EXTERN PetscErrorCode MatPermute(Mat,IS,IS,Mat*);
584: PETSC_EXTERN PetscErrorCode MatDiagonalScale(Mat,Vec,Vec);
585: PETSC_EXTERN PetscErrorCode MatDiagonalSet(Mat,Vec,InsertMode);
587: PETSC_EXTERN PetscErrorCode MatEqual(Mat,Mat,PetscBool*);
588: PETSC_EXTERN PetscErrorCode MatMultEqual(Mat,Mat,PetscInt,PetscBool*);
589: PETSC_EXTERN PetscErrorCode MatMultAddEqual(Mat,Mat,PetscInt,PetscBool*);
590: PETSC_EXTERN PetscErrorCode MatMultTransposeEqual(Mat,Mat,PetscInt,PetscBool*);
591: PETSC_EXTERN PetscErrorCode MatMultTransposeAddEqual(Mat,Mat,PetscInt,PetscBool*);
592: PETSC_EXTERN PetscErrorCode MatMatMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
593: PETSC_EXTERN PetscErrorCode MatTransposeMatMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
594: PETSC_EXTERN PetscErrorCode MatMatTransposeMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
595: PETSC_EXTERN PetscErrorCode MatPtAPMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
596: PETSC_EXTERN PetscErrorCode MatIsLinear(Mat,PetscInt,PetscBool*);
598: PETSC_EXTERN PetscErrorCode MatNorm(Mat,NormType,PetscReal*);
599: PETSC_EXTERN PetscErrorCode MatGetColumnNorms(Mat,NormType,PetscReal*);
600: PETSC_EXTERN PetscErrorCode MatZeroEntries(Mat);
601: PETSC_EXTERN PetscErrorCode MatZeroRows(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
602: PETSC_EXTERN PetscErrorCode MatZeroRowsIS(Mat,IS,PetscScalar,Vec,Vec);
603: PETSC_EXTERN PetscErrorCode MatZeroRowsStencil(Mat,PetscInt,const MatStencil [],PetscScalar,Vec,Vec);
604: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsStencil(Mat,PetscInt,const MatStencil[],PetscScalar,Vec,Vec);
605: PETSC_EXTERN PetscErrorCode MatZeroRowsColumns(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
606: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsIS(Mat,IS,PetscScalar,Vec,Vec);
608: PETSC_EXTERN PetscErrorCode MatGetSize(Mat,PetscInt*,PetscInt*);
609: PETSC_EXTERN PetscErrorCode MatGetLocalSize(Mat,PetscInt*,PetscInt*);
610: PETSC_EXTERN PetscErrorCode MatGetOwnershipRange(Mat,PetscInt*,PetscInt*);
611: PETSC_EXTERN PetscErrorCode MatGetOwnershipRanges(Mat,const PetscInt**);
612: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangeColumn(Mat,PetscInt*,PetscInt*);
613: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangesColumn(Mat,const PetscInt**);
614: PETSC_EXTERN PetscErrorCode MatGetOwnershipIS(Mat,IS*,IS*);
616: PETSC_EXTERN PetscErrorCode MatCreateSubMatrices(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
617: PETSC_DEPRECATED_FUNCTION("Use MatCreateSubMatrices() (since version 3.8)") PETSC_STATIC_INLINE PetscErrorCode MatGetSubMatrices(Mat mat,PetscInt n,const IS irow[],const IS icol[],MatReuse scall,Mat *submat[]) {return MatCreateSubMatrices(mat,n,irow,icol,scall,submat);}
618: PETSC_EXTERN PetscErrorCode MatCreateSubMatricesMPI(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
619: PETSC_DEPRECATED_FUNCTION("Use MatCreateSubMatricesMPI() (since version 3.8)") PETSC_STATIC_INLINE PetscErrorCode MatGetSubMatricesMPI(Mat mat,PetscInt n,const IS irow[],const IS icol[],MatReuse scall,Mat *submat[]) {return MatCreateSubMatricesMPI(mat,n,irow,icol,scall,submat);}
620: PETSC_EXTERN PetscErrorCode MatDestroyMatrices(PetscInt,Mat *[]);
621: PETSC_EXTERN PetscErrorCode MatDestroySubMatrices(PetscInt,Mat *[]);
622: PETSC_EXTERN PetscErrorCode MatCreateSubMatrix(Mat,IS,IS,MatReuse,Mat *);
623: PETSC_DEPRECATED_FUNCTION("Use MatCreateSubMatrix() (since version 3.8)") PETSC_STATIC_INLINE PetscErrorCode MatGetSubMatrix(Mat mat,IS isrow,IS iscol,MatReuse cll,Mat *newmat) {return MatCreateSubMatrix(mat,isrow,iscol,cll,newmat);}
624: PETSC_EXTERN PetscErrorCode MatGetLocalSubMatrix(Mat,IS,IS,Mat*);
625: PETSC_EXTERN PetscErrorCode MatRestoreLocalSubMatrix(Mat,IS,IS,Mat*);
626: PETSC_EXTERN PetscErrorCode MatGetSeqNonzeroStructure(Mat,Mat*);
627: PETSC_EXTERN PetscErrorCode MatDestroySeqNonzeroStructure(Mat*);
629: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJ(MPI_Comm,Mat,PetscInt,PetscInt,MatReuse,Mat*);
630: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJSymbolic(MPI_Comm,Mat,PetscInt,PetscInt,Mat*);
631: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJNumeric(Mat,Mat);
632: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMat(Mat,MatReuse,Mat*);
633: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMatCondensed(Mat,MatReuse,IS*,IS*,Mat*);
634: PETSC_EXTERN PetscErrorCode MatGetBrowsOfAcols(Mat,Mat,MatReuse,IS*,IS*,Mat*);
635: PETSC_EXTERN PetscErrorCode MatGetGhosts(Mat, PetscInt *,const PetscInt *[]);
637: PETSC_EXTERN PetscErrorCode MatIncreaseOverlap(Mat,PetscInt,IS[],PetscInt);
638: PETSC_EXTERN PetscErrorCode MatIncreaseOverlapSplit(Mat mat,PetscInt n,IS is[],PetscInt ov);
639: PETSC_EXTERN PetscErrorCode MatMPIAIJSetUseScalableIncreaseOverlap(Mat,PetscBool);
641: PETSC_EXTERN PetscErrorCode MatMatMult(Mat,Mat,MatReuse,PetscReal,Mat*);
643: PETSC_EXTERN PetscErrorCode MatMatMatMult(Mat,Mat,Mat,MatReuse,PetscReal,Mat*);
644: PETSC_EXTERN PetscErrorCode MatGalerkin(Mat,Mat,Mat,MatReuse,PetscReal,Mat*);
646: PETSC_EXTERN PetscErrorCode MatPtAP(Mat,Mat,MatReuse,PetscReal,Mat*);
647: PETSC_EXTERN PetscErrorCode MatRARt(Mat,Mat,MatReuse,PetscReal,Mat*);
649: PETSC_EXTERN PetscErrorCode MatTransposeMatMult(Mat,Mat,MatReuse,PetscReal,Mat*);
650: PETSC_EXTERN PetscErrorCode MatMatTransposeMult(Mat,Mat,MatReuse,PetscReal,Mat*);
652: PETSC_EXTERN PetscErrorCode MatAXPY(Mat,PetscScalar,Mat,MatStructure);
653: PETSC_EXTERN PetscErrorCode MatAYPX(Mat,PetscScalar,Mat,MatStructure);
655: PETSC_EXTERN PetscErrorCode MatScale(Mat,PetscScalar);
656: PETSC_EXTERN PetscErrorCode MatShift(Mat,PetscScalar);
658: PETSC_EXTERN PetscErrorCode MatSetLocalToGlobalMapping(Mat,ISLocalToGlobalMapping,ISLocalToGlobalMapping);
659: PETSC_EXTERN PetscErrorCode MatGetLocalToGlobalMapping(Mat,ISLocalToGlobalMapping*,ISLocalToGlobalMapping*);
660: PETSC_EXTERN PetscErrorCode MatGetLayouts(Mat,PetscLayout*,PetscLayout*);
661: PETSC_EXTERN PetscErrorCode MatZeroRowsLocal(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
662: PETSC_EXTERN PetscErrorCode MatZeroRowsLocalIS(Mat,IS,PetscScalar,Vec,Vec);
663: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocal(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
664: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocalIS(Mat,IS,PetscScalar,Vec,Vec);
665: PETSC_EXTERN PetscErrorCode MatGetValuesLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],PetscScalar[]);
666: PETSC_EXTERN PetscErrorCode MatSetValuesLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
667: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
669: PETSC_EXTERN PetscErrorCode MatStashSetInitialSize(Mat,PetscInt,PetscInt);
670: PETSC_EXTERN PetscErrorCode MatStashGetInfo(Mat,PetscInt*,PetscInt*,PetscInt*,PetscInt*);
672: PETSC_EXTERN PetscErrorCode MatInterpolate(Mat,Vec,Vec);
673: PETSC_EXTERN PetscErrorCode MatInterpolateAdd(Mat,Vec,Vec,Vec);
674: PETSC_EXTERN PetscErrorCode MatRestrict(Mat,Vec,Vec);
675: PETSC_EXTERN PetscErrorCode MatCreateVecs(Mat,Vec*,Vec*);
676: PETSC_DEPRECATED_FUNCTION("Use MatCreateVecs() (since version 3.6)") PETSC_STATIC_INLINE PetscErrorCode MatGetVecs(Mat mat,Vec *x,Vec *y) {return MatCreateVecs(mat,x,y);}
677: PETSC_EXTERN PetscErrorCode MatCreateRedundantMatrix(Mat,PetscInt,MPI_Comm,MatReuse,Mat*);
678: PETSC_EXTERN PetscErrorCode MatGetMultiProcBlock(Mat,MPI_Comm,MatReuse,Mat*);
679: PETSC_EXTERN PetscErrorCode MatFindZeroDiagonals(Mat,IS*);
680: PETSC_EXTERN PetscErrorCode MatFindOffBlockDiagonalEntries(Mat,IS*);
681: PETSC_EXTERN PetscErrorCode MatCreateMPIMatConcatenateSeqMat(MPI_Comm,Mat,PetscInt,MatReuse,Mat*);
683: /*MC
684: MatSetValue - Set a single entry into a matrix.
686: Not collective
688: Synopsis:
689: #include <petscmat.h>
690: PetscErrorCode MatSetValue(Mat m,PetscInt row,PetscInt col,PetscScalar value,InsertMode mode)
692: Input Parameters:
693: + m - the matrix
694: . row - the row location of the entry
695: . col - the column location of the entry
696: . value - the value to insert
697: - mode - either INSERT_VALUES or ADD_VALUES
699: Notes:
700: For efficiency one should use MatSetValues() and set several or many
701: values simultaneously if possible.
703: Level: beginner
705: .seealso: MatSetValues(), MatSetValueLocal()
706: M*/
707: PETSC_STATIC_INLINE PetscErrorCode MatSetValue(Mat v,PetscInt i,PetscInt j,PetscScalar va,InsertMode mode) {return MatSetValues(v,1,&i,1,&j,&va,mode);}
709: PETSC_STATIC_INLINE PetscErrorCode MatGetValue(Mat v,PetscInt i,PetscInt j,PetscScalar *va) {return MatGetValues(v,1,&i,1,&j,va);}
711: PETSC_STATIC_INLINE PetscErrorCode MatSetValueLocal(Mat v,PetscInt i,PetscInt j,PetscScalar va,InsertMode mode) {return MatSetValuesLocal(v,1,&i,1,&j,&va,mode);}
713: /*MC
714: MatPreallocateInitialize - Begins the block of code that will count the number of nonzeros per
715: row in a matrix providing the data that one can use to correctly preallocate the matrix.
717: Synopsis:
718: #include <petscmat.h>
719: PetscErrorCode MatPreallocateInitialize(MPI_Comm comm, PetscInt nrows, PetscInt ncols, PetscInt *dnz, PetscInt *onz)
721: Collective
723: Input Parameters:
724: + comm - the communicator that will share the eventually allocated matrix
725: . nrows - the number of LOCAL rows in the matrix
726: - ncols - the number of LOCAL columns in the matrix
728: Output Parameters:
729: + dnz - the array that will be passed to the matrix preallocation routines
730: - onz - the other array passed to the matrix preallocation routines
732: Level: intermediate
734: Notes:
735: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
737: Do not malloc or free dnz and onz, that is handled internally by these routines
739: This is a MACRO not a function because it has a leading { that is closed by PetscPreallocateFinalize().
741: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
742: MatPreallocateSymmetricSetLocalBlock()
743: M*/
744: #define MatPreallocateInitialize(comm,nrows,ncols,dnz,onz) 0; \
745: do { \
746: PetscErrorCode _4_ierr; PetscInt __nrows = (nrows),__ncols = (ncols),__rstart,__start,__end; \
747: _4_PetscCalloc2((size_t)__nrows,&dnz,(size_t)__nrows,&onz);CHKERRQ(_4_ierr); \
748: __start = 0; __end = __start; \
749: _4_MPI_Scan(&__ncols,&__end,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __start = __end - __ncols;\
750: _4_MPI_Scan(&__nrows,&__rstart,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __rstart = __rstart - __nrows; \
751: do { } while(0)
753: /*MC
754: MatPreallocateSetLocal - Indicates the locations (rows and columns) in the matrix where nonzeros will be
755: inserted using a local number of the rows and columns
757: Synopsis:
758: #include <petscmat.h>
759: PetscErrorCode MatPreallocateSetLocal(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
761: Not Collective
763: Input Parameters:
764: + map - the row mapping from local numbering to global numbering
765: . nrows - the number of rows indicated
766: . rows - the indices of the rows
767: . cmap - the column mapping from local to global numbering
768: . ncols - the number of columns in the matrix
769: . cols - the columns indicated
770: . dnz - the array that will be passed to the matrix preallocation routines
771: - onz - the other array passed to the matrix preallocation routines
773: Level: intermediate
775: Notes:
776: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
778: Do not malloc or free dnz and onz, that is handled internally by these routines
780: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
781: MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock(), MatPreallocateSetLocalRemoveDups()
782: M*/
783: #define MatPreallocateSetLocal(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
784: do {\
785: PetscInt __l;\
786: _4_ISLocalToGlobalMappingApply(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
787: _4_ISLocalToGlobalMappingApply(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
788: for (__l=0;__l<nrows;__l++) {\
789: _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
790: }\
791: } while (0)
793: /*MC
794: MatPreallocateSetLocalRemoveDups - Indicates the locations (rows and columns) in the matrix where nonzeros will be
795: inserted using a local number of the rows and columns. This version removes any duplicate columns in cols
797: Synopsis:
798: #include <petscmat.h>
799: PetscErrorCode MatPreallocateSetLocalRemoveDups(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
801: Not Collective
803: Input Parameters:
804: + map - the row mapping from local numbering to global numbering
805: . nrows - the number of rows indicated
806: . rows - the indices of the rows (these values are mapped to the global values)
807: . cmap - the column mapping from local to global numbering
808: . ncols - the number of columns in the matrix (this value will be changed if duplicate columns are found)
809: . cols - the columns indicated (these values are mapped to the global values, they are then sorted and duplicates removed)
810: . dnz - the array that will be passed to the matrix preallocation routines
811: - onz - the other array passed to the matrix preallocation routines
813: Level: intermediate
815: Notes:
816: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
818: Do not malloc or free dnz and onz, that is handled internally by these routines
820: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
821: MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock(), MatPreallocateSetLocal()
822: M*/
823: #define MatPreallocateSetLocalRemoveDups(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
824: do {\
825: PetscInt __l;\
826: _4_ISLocalToGlobalMappingApply(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
827: _4_ISLocalToGlobalMappingApply(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
828: _4_PetscSortRemoveDupsInt(&ncols,cols);CHKERRQ(_4_ierr);\
829: for (__l=0;__l<nrows;__l++) {\
830: _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
831: }\
832: } while (0)
834: /*MC
835: MatPreallocateSetLocalBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
836: inserted using a local number of the rows and columns
838: Synopsis:
839: #include <petscmat.h>
840: PetscErrorCode MatPreallocateSetLocalBlock(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
842: Not Collective
844: Input Parameters:
845: + map - the row mapping from local numbering to global numbering
846: . nrows - the number of rows indicated
847: . rows - the indices of the rows
848: . cmap - the column mapping from local to global numbering
849: . ncols - the number of columns in the matrix
850: . cols - the columns indicated
851: . dnz - the array that will be passed to the matrix preallocation routines
852: - onz - the other array passed to the matrix preallocation routines
854: Level: intermediate
856: Notes:
857: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
859: Do not malloc or free dnz and onz, that is handled internally by these routines
861: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
862: MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock()
863: M*/
864: #define MatPreallocateSetLocalBlock(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
865: do {\
866: PetscInt __l;\
867: _4_ISLocalToGlobalMappingApplyBlock(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
868: _4_ISLocalToGlobalMappingApplyBlock(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
869: for (__l=0;__l<nrows;__l++) {\
870: _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
871: }\
872: } while (0)
874: /*MC
875: MatPreallocateSymmetricSetLocalBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
876: inserted using a local number of the rows and columns
878: Synopsis:
879: #include <petscmat.h>
880: PetscErrorCode MatPreallocateSymmetricSetLocalBlock(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
882: Not Collective
884: Input Parameters:
885: + map - the mapping between local numbering and global numbering
886: . nrows - the number of rows indicated
887: . rows - the indices of the rows
888: . ncols - the number of columns in the matrix
889: . cols - the columns indicated
890: . dnz - the array that will be passed to the matrix preallocation routines
891: - onz - the other array passed to the matrix preallocation routines
893: Level: intermediate
895: Notes:
896: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
898: Do not malloc or free dnz and onz that is handled internally by these routines
900: .seealso: MatPreallocateFinalize(), MatPreallocateSet()
901: MatPreallocateInitialize(), MatPreallocateSetLocal()
902: M*/
903: #define MatPreallocateSymmetricSetLocalBlock(map,nrows,rows,ncols,cols,dnz,onz) 0;\
904: do {\
905: PetscInt __l;\
906: _4_ISLocalToGlobalMappingApplyBlock(map,nrows,rows,rows);CHKERRQ(_4_ierr);\
907: _4_ISLocalToGlobalMappingApplyBlock(map,ncols,cols,cols);CHKERRQ(_4_ierr);\
908: for (__l=0;__l<nrows;__l++) {\
909: _4_MatPreallocateSymmetricSetBlock((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
910: }\
911: } while (0)
913: /*MC
914: MatPreallocateSet - Indicates the locations (rows and columns) in the matrix where nonzeros will be
915: inserted using a local number of the rows and columns
917: Synopsis:
918: #include <petscmat.h>
919: PetscErrorCode MatPreallocateSet(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
921: Not Collective
923: Input Parameters:
924: + row - the row
925: . ncols - the number of columns in the matrix
926: - cols - the columns indicated
928: Output Parameters:
929: + dnz - the array that will be passed to the matrix preallocation routines
930: - onz - the other array passed to the matrix preallocation routines
932: Level: intermediate
934: Notes:
935: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
937: Do not malloc or free dnz and onz that is handled internally by these routines
939: This is a MACRO not a function because it uses variables declared in MatPreallocateInitialize().
941: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
942: MatPreallocateInitialize(), MatPreallocateSetLocal()
943: M*/
944: #define MatPreallocateSet(row,nc,cols,dnz,onz) 0;\
945: do { PetscInt __i; \
946: if (row < __rstart) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Trying to set preallocation for row %D less than first local row %D",row,__rstart);\
947: if (row >= __rstart+__nrows) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Trying to set preallocation for row %D greater than last local row %D",row,__rstart+__nrows-1);\
948: for (__i=0; __i<nc; __i++) {\
949: if ((cols)[__i] < __start || (cols)[__i] >= __end) onz[row - __rstart]++; \
950: else if (dnz[row - __rstart] < __ncols) dnz[row - __rstart]++;\
951: }\
952: } while (0)
954: /*MC
955: MatPreallocateSymmetricSetBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
956: inserted using a local number of the rows and columns
958: Synopsis:
959: #include <petscmat.h>
960: PetscErrorCode MatPreallocateSymmetricSetBlock(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
962: Not Collective
964: Input Parameters:
965: + nrows - the number of rows indicated
966: . rows - the indices of the rows
967: . ncols - the number of columns in the matrix
968: . cols - the columns indicated
969: . dnz - the array that will be passed to the matrix preallocation routines
970: - onz - the other array passed to the matrix preallocation routines
972: Level: intermediate
974: Notes:
975: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
977: Do not malloc or free dnz and onz that is handled internally by these routines
979: This is a MACRO not a function because it uses variables declared in MatPreallocateInitialize().
981: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateInitialize(),
982: MatPreallocateSymmetricSetLocalBlock(), MatPreallocateSetLocal()
983: M*/
984: #define MatPreallocateSymmetricSetBlock(row,nc,cols,dnz,onz) 0;\
985: do { PetscInt __i; \
986: for (__i=0; __i<nc; __i++) {\
987: if (cols[__i] >= __end) onz[row - __rstart]++; \
988: else if (cols[__i] >= row && dnz[row - __rstart] < __ncols) dnz[row - __rstart]++;\
989: }\
990: } while (0)
992: /*MC
993: MatPreallocateLocation - An alternative to MatPreallocateSet() that puts the nonzero locations into the matrix if it exists
995: Synopsis:
996: #include <petscmat.h>
997: PetscErrorCode MatPreallocateLocations(Mat A,PetscInt row,PetscInt ncols,PetscInt *cols,PetscInt *dnz,PetscInt *onz)
999: Not Collective
1001: Input Parameters:
1002: + A - matrix
1003: . row - row where values exist (must be local to this process)
1004: . ncols - number of columns
1005: . cols - columns with nonzeros
1006: . dnz - the array that will be passed to the matrix preallocation routines
1007: - onz - the other array passed to the matrix preallocation routines
1009: Level: intermediate
1011: Notes:
1012: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
1014: Do not malloc or free dnz and onz that is handled internally by these routines
1016: This is a MACRO not a function because it uses a bunch of variables private to the MatPreallocation.... routines.
1018: .seealso: MatPreallocateInitialize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
1019: MatPreallocateSymmetricSetLocalBlock()
1020: M*/
1021: #define MatPreallocateLocation(A,row,ncols,cols,dnz,onz) 0; do {if (A) {MatSetValues(A,1,&row,ncols,cols,NULL,INSERT_VALUES);} else { MatPreallocateSet(row,ncols,cols,dnz,onz);}} while(0)
1024: /*MC
1025: MatPreallocateFinalize - Ends the block of code that will count the number of nonzeros per
1026: row in a matrix providing the data that one can use to correctly preallocate the matrix.
1028: Synopsis:
1029: #include <petscmat.h>
1030: PetscErrorCode MatPreallocateFinalize(PetscInt *dnz, PetscInt *onz)
1032: Collective
1034: Input Parameters:
1035: + dnz - the array that was be passed to the matrix preallocation routines
1036: - onz - the other array passed to the matrix preallocation routines
1038: Level: intermediate
1040: Notes:
1041: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
1043: Do not malloc or free dnz and onz that is handled internally by these routines
1045: This is a MACRO not a function because it closes the { started in MatPreallocateInitialize().
1047: .seealso: MatPreallocateInitialize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
1048: MatPreallocateSymmetricSetLocalBlock()
1049: M*/
1050: #define MatPreallocateFinalize(dnz,onz) 0;_4_PetscFree2(dnz,onz);CHKERRQ(_4_ierr);} while(0)
1052: /* Routines unique to particular data structures */
1053: PETSC_EXTERN PetscErrorCode MatShellGetContext(Mat,void *);
1055: PETSC_EXTERN PetscErrorCode MatInodeAdjustForInodes(Mat,IS*,IS*);
1056: PETSC_EXTERN PetscErrorCode MatInodeGetInodeSizes(Mat,PetscInt *,PetscInt *[],PetscInt *);
1058: PETSC_EXTERN PetscErrorCode MatSeqAIJSetColumnIndices(Mat,PetscInt[]);
1059: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetColumnIndices(Mat,PetscInt[]);
1060: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
1061: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
1062: PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
1063: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJFromTriple(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*,PetscInt,PetscBool);
1065: #define MAT_SKIP_ALLOCATION -4
1067: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
1068: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
1069: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocation(Mat,PetscInt,const PetscInt[]);
1071: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1072: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1073: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1074: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocationCSR(Mat,const PetscInt [],const PetscInt [],const PetscScalar []);
1075: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
1076: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocationCSR(Mat,const PetscInt[],const PetscInt[],const PetscScalar[]);
1077: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
1078: PETSC_EXTERN PetscErrorCode MatMPIAdjSetPreallocation(Mat,PetscInt[],PetscInt[],PetscInt[]);
1079: PETSC_EXTERN PetscErrorCode MatMPIAdjToSeq(Mat,Mat*);
1080: PETSC_EXTERN PetscErrorCode MatMPIDenseSetPreallocation(Mat,PetscScalar[]);
1081: PETSC_EXTERN PetscErrorCode MatSeqDenseSetPreallocation(Mat,PetscScalar[]);
1082: PETSC_EXTERN PetscErrorCode MatMPIAIJGetSeqAIJ(Mat,Mat*,Mat*,const PetscInt*[]);
1083: PETSC_EXTERN PetscErrorCode MatMPIBAIJGetSeqBAIJ(Mat,Mat*,Mat*,const PetscInt*[]);
1084: PETSC_EXTERN PetscErrorCode MatMPIAdjCreateNonemptySubcommMat(Mat,Mat*);
1086: PETSC_EXTERN PetscErrorCode MatSeqDenseSetLDA(Mat,PetscInt);
1087: PETSC_EXTERN PetscErrorCode MatDenseGetLDA(Mat,PetscInt*);
1088: PETSC_EXTERN PetscErrorCode MatDenseGetLocalMatrix(Mat,Mat*);
1090: PETSC_EXTERN PetscErrorCode MatBlockMatSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
1092: PETSC_EXTERN PetscErrorCode MatStoreValues(Mat);
1093: PETSC_EXTERN PetscErrorCode MatRetrieveValues(Mat);
1095: PETSC_EXTERN PetscErrorCode MatDAADSetCtx(Mat,void*);
1097: PETSC_EXTERN PetscErrorCode MatFindNonzeroRows(Mat,IS*);
1098: PETSC_EXTERN PetscErrorCode MatFindZeroRows(Mat,IS*);
1099: /*
1100: These routines are not usually accessed directly, rather solving is
1101: done through the KSP and PC interfaces.
1102: */
1104: /*J
1105: MatOrderingType - String with the name of a PETSc matrix ordering
1107: Level: beginner
1109: .seealso: MatGetOrdering()
1110: J*/
1111: typedef const char* MatOrderingType;
1112: #define MATORDERINGNATURAL "natural"
1113: #define MATORDERINGND "nd"
1114: #define MATORDERING1WD "1wd"
1115: #define MATORDERINGRCM "rcm"
1116: #define MATORDERINGQMD "qmd"
1117: #define MATORDERINGROWLENGTH "rowlength"
1118: #define MATORDERINGWBM "wbm"
1119: #define MATORDERINGSPECTRAL "spectral"
1120: #define MATORDERINGAMD "amd" /* only works if UMFPACK is installed with PETSc */
1121: #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 */
1123: PETSC_EXTERN PetscErrorCode MatGetOrdering(Mat,MatOrderingType,IS*,IS*);
1124: PETSC_EXTERN PetscErrorCode MatGetOrderingList(PetscFunctionList*);
1125: PETSC_EXTERN PetscErrorCode MatOrderingRegister(const char[],PetscErrorCode(*)(Mat,MatOrderingType,IS*,IS*));
1126: PETSC_EXTERN PetscFunctionList MatOrderingList;
1128: PETSC_EXTERN PetscErrorCode MatReorderForNonzeroDiagonal(Mat,PetscReal,IS,IS);
1129: PETSC_EXTERN PetscErrorCode MatCreateLaplacian(Mat,PetscReal,PetscBool,Mat*);
1131: /*S
1132: MatFactorShiftType - Numeric Shift for factorizations
1134: Level: beginner
1136: .seealso: MatGetFactor()
1137: S*/
1138: typedef enum {MAT_SHIFT_NONE,MAT_SHIFT_NONZERO,MAT_SHIFT_POSITIVE_DEFINITE,MAT_SHIFT_INBLOCKS} MatFactorShiftType;
1139: PETSC_EXTERN const char *const MatFactorShiftTypes[];
1140: PETSC_EXTERN const char *const MatFactorShiftTypesDetail[];
1142: /*S
1143: MatFactorError - indicates what type of error was generated in a matrix factorization
1145: Level: beginner
1147: Developer Notes:
1148: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
1150: .seealso: MatGetFactor()
1151: S*/
1152: typedef enum {MAT_FACTOR_NOERROR,MAT_FACTOR_STRUCT_ZEROPIVOT,MAT_FACTOR_NUMERIC_ZEROPIVOT,MAT_FACTOR_OUTMEMORY,MAT_FACTOR_OTHER} MatFactorError;
1154: PETSC_EXTERN PetscErrorCode MatFactorGetError(Mat,MatFactorError*);
1155: PETSC_EXTERN PetscErrorCode MatFactorClearError(Mat);
1156: PETSC_EXTERN PetscErrorCode MatFactorGetErrorZeroPivot(Mat,PetscReal*,PetscInt*);
1158: /*S
1159: MatFactorInfo - Data passed into the matrix factorization routines, and information about the resulting factorization
1161: In Fortran these are simply double precision arrays of size MAT_FACTORINFO_SIZE, that is use
1162: $ MatFactorInfo info(MAT_FACTORINFO_SIZE)
1164: Notes:
1165: These are not usually directly used by users, instead use PC type of LU, ILU, CHOLESKY or ICC.
1167: You can use MatFactorInfoInitialize() to set default values.
1169: Level: developer
1171: .seealso: MatLUFactorSymbolic(), MatILUFactorSymbolic(), MatCholeskyFactorSymbolic(), MatICCFactorSymbolic(), MatICCFactor(),
1172: MatFactorInfoInitialize()
1174: S*/
1175: typedef struct {
1176: PetscReal diagonal_fill; /* force diagonal to fill in if initially not filled */
1177: PetscReal usedt;
1178: PetscReal dt; /* drop tolerance */
1179: PetscReal dtcol; /* tolerance for pivoting */
1180: PetscReal dtcount; /* maximum nonzeros to be allowed per row */
1181: PetscReal fill; /* expected fill, nonzeros in factored matrix/nonzeros in original matrix */
1182: PetscReal levels; /* ICC/ILU(levels) */
1183: PetscReal pivotinblocks; /* for BAIJ and SBAIJ matrices pivot in factorization on blocks, default 1.0
1184: factorization may be faster if do not pivot */
1185: PetscReal zeropivot; /* pivot is called zero if less than this */
1186: PetscReal shifttype; /* type of shift added to matrix factor to prevent zero pivots */
1187: PetscReal shiftamount; /* how large the shift is */
1188: } MatFactorInfo;
1190: PETSC_EXTERN PetscErrorCode MatFactorInfoInitialize(MatFactorInfo*);
1191: PETSC_EXTERN PetscErrorCode MatCholeskyFactor(Mat,IS,const MatFactorInfo*);
1192: PETSC_EXTERN PetscErrorCode MatCholeskyFactorSymbolic(Mat,Mat,IS,const MatFactorInfo*);
1193: PETSC_EXTERN PetscErrorCode MatCholeskyFactorNumeric(Mat,Mat,const MatFactorInfo*);
1194: PETSC_EXTERN PetscErrorCode MatLUFactor(Mat,IS,IS,const MatFactorInfo*);
1195: PETSC_EXTERN PetscErrorCode MatILUFactor(Mat,IS,IS,const MatFactorInfo*);
1196: PETSC_EXTERN PetscErrorCode MatLUFactorSymbolic(Mat,Mat,IS,IS,const MatFactorInfo*);
1197: PETSC_EXTERN PetscErrorCode MatILUFactorSymbolic(Mat,Mat,IS,IS,const MatFactorInfo*);
1198: PETSC_EXTERN PetscErrorCode MatICCFactorSymbolic(Mat,Mat,IS,const MatFactorInfo*);
1199: PETSC_EXTERN PetscErrorCode MatICCFactor(Mat,IS,const MatFactorInfo*);
1200: PETSC_EXTERN PetscErrorCode MatLUFactorNumeric(Mat,Mat,const MatFactorInfo*);
1201: PETSC_EXTERN PetscErrorCode MatGetInertia(Mat,PetscInt*,PetscInt*,PetscInt*);
1202: PETSC_EXTERN PetscErrorCode MatSolve(Mat,Vec,Vec);
1203: PETSC_EXTERN PetscErrorCode MatForwardSolve(Mat,Vec,Vec);
1204: PETSC_EXTERN PetscErrorCode MatBackwardSolve(Mat,Vec,Vec);
1205: PETSC_EXTERN PetscErrorCode MatSolveAdd(Mat,Vec,Vec,Vec);
1206: PETSC_EXTERN PetscErrorCode MatSolveTranspose(Mat,Vec,Vec);
1207: PETSC_EXTERN PetscErrorCode MatSolveTransposeAdd(Mat,Vec,Vec,Vec);
1208: PETSC_EXTERN PetscErrorCode MatSolves(Mat,Vecs,Vecs);
1209: PETSC_EXTERN PetscErrorCode MatSetUnfactored(Mat);
1211: typedef enum {MAT_FACTOR_SCHUR_UNFACTORED, MAT_FACTOR_SCHUR_FACTORED, MAT_FACTOR_SCHUR_INVERTED} MatFactorSchurStatus;
1212: PETSC_EXTERN PetscErrorCode MatFactorSetSchurIS(Mat,IS);
1213: PETSC_EXTERN PetscErrorCode MatFactorGetSchurComplement(Mat,Mat*,MatFactorSchurStatus*);
1214: PETSC_EXTERN PetscErrorCode MatFactorRestoreSchurComplement(Mat,Mat*,MatFactorSchurStatus);
1215: PETSC_EXTERN PetscErrorCode MatFactorInvertSchurComplement(Mat);
1216: PETSC_EXTERN PetscErrorCode MatFactorCreateSchurComplement(Mat,Mat*,MatFactorSchurStatus*);
1217: PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplement(Mat,Vec,Vec);
1218: PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplementTranspose(Mat,Vec,Vec);
1219: PETSC_EXTERN PetscErrorCode MatFactorFactorizeSchurComplement(Mat);
1221: /*E
1222: MatSORType - What type of (S)SOR to perform
1224: Level: beginner
1226: May be bitwise ORd together
1228: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
1230: MatSORType may be bitwise ORd together, so do not change the numbers
1232: .seealso: MatSOR()
1233: E*/
1234: typedef enum {SOR_FORWARD_SWEEP=1,SOR_BACKWARD_SWEEP=2,SOR_SYMMETRIC_SWEEP=3,
1235: SOR_LOCAL_FORWARD_SWEEP=4,SOR_LOCAL_BACKWARD_SWEEP=8,
1236: SOR_LOCAL_SYMMETRIC_SWEEP=12,SOR_ZERO_INITIAL_GUESS=16,
1237: SOR_EISENSTAT=32,SOR_APPLY_UPPER=64,SOR_APPLY_LOWER=128} MatSORType;
1238: PETSC_EXTERN PetscErrorCode MatSOR(Mat,Vec,PetscReal,MatSORType,PetscReal,PetscInt,PetscInt,Vec);
1240: /*
1241: These routines are for efficiently computing Jacobians via finite differences.
1242: */
1244: /*S
1245: MatColoring - Object for managing the coloring of matrices.
1247: Level: beginner
1249: Notes:
1250: Coloring of matrices can be computed directly from the sparse matrix nonzero structure via the MatColoring object or from the mesh from which the
1251: matrix comes from via DMCreateColoring(). In general using the mesh produces a more optimal coloring (fewer colors).
1253: Once a coloring is available MatFDColoringCreate() creates an object that can be used to efficiently compute Jacobians using that coloring. This
1254: same object can also be used to efficiently convert data created by Automatic Differentation tools to PETSc sparse matrices.
1256: .seealso: MatFDColoringCreate(), MatColoringWeightType, ISColoring, MatFDColoring, DMCreateColoring(), MatColoringCreate(), MatOrdering, MatPartitioning
1257: S*/
1258: typedef struct _p_MatColoring* MatColoring;
1260: /*J
1261: MatColoringType - String with the name of a PETSc matrix coloring
1263: Level: beginner
1265: .seealso: MatColoringSetType(), MatColoring
1266: J*/
1267: typedef const char* MatColoringType;
1268: #define MATCOLORINGJP "jp"
1269: #define MATCOLORINGPOWER "power"
1270: #define MATCOLORINGNATURAL "natural"
1271: #define MATCOLORINGSL "sl"
1272: #define MATCOLORINGLF "lf"
1273: #define MATCOLORINGID "id"
1274: #define MATCOLORINGGREEDY "greedy"
1276: /*E
1277: MatColoringWeightType - Type of weight scheme
1279: Not Collective
1281: + MAT_COLORING_RANDOM - Random weights
1282: . MAT_COLORING_LEXICAL - Lexical weighting based upon global numbering.
1283: - MAT_COLORING_LF - Last-first weighting.
1285: Level: intermediate
1287: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
1289: .seealso: MatColoring, MatColoringCreate()
1290: E*/
1291: typedef enum {MAT_COLORING_WEIGHT_RANDOM,MAT_COLORING_WEIGHT_LEXICAL,MAT_COLORING_WEIGHT_LF,MAT_COLORING_WEIGHT_SL} MatColoringWeightType;
1293: PETSC_EXTERN PetscErrorCode MatColoringCreate(Mat,MatColoring*);
1294: PETSC_EXTERN PetscErrorCode MatColoringGetDegrees(Mat,PetscInt,PetscInt*);
1295: PETSC_EXTERN PetscErrorCode MatColoringDestroy(MatColoring*);
1296: PETSC_EXTERN PetscErrorCode MatColoringView(MatColoring,PetscViewer);
1297: PETSC_EXTERN PetscErrorCode MatColoringSetType(MatColoring,MatColoringType);
1298: PETSC_EXTERN PetscErrorCode MatColoringSetFromOptions(MatColoring);
1299: PETSC_EXTERN PetscErrorCode MatColoringSetDistance(MatColoring,PetscInt);
1300: PETSC_EXTERN PetscErrorCode MatColoringGetDistance(MatColoring,PetscInt*);
1301: PETSC_EXTERN PetscErrorCode MatColoringSetMaxColors(MatColoring,PetscInt);
1302: PETSC_EXTERN PetscErrorCode MatColoringGetMaxColors(MatColoring,PetscInt*);
1303: PETSC_EXTERN PetscErrorCode MatColoringApply(MatColoring,ISColoring*);
1304: PETSC_EXTERN PetscErrorCode MatColoringRegister(const char[],PetscErrorCode(*)(MatColoring));
1305: PETSC_EXTERN PetscErrorCode MatColoringPatch(Mat,PetscInt,PetscInt,ISColoringValue[],ISColoring*);
1306: PETSC_EXTERN PetscErrorCode MatColoringSetWeightType(MatColoring,MatColoringWeightType);
1307: PETSC_EXTERN PetscErrorCode MatColoringSetWeights(MatColoring,PetscReal*,PetscInt*);
1308: PETSC_EXTERN PetscErrorCode MatColoringCreateWeights(MatColoring,PetscReal **,PetscInt **lperm);
1309: PETSC_EXTERN PetscErrorCode MatColoringTest(MatColoring,ISColoring);
1310: PETSC_DEPRECATED_FUNCTION("Use MatColoringTest() (since version 3.10)") PETSC_STATIC_INLINE PetscErrorCode MatColoringTestValid(MatColoring matcoloring,ISColoring iscoloring) {return MatColoringTest(matcoloring,iscoloring);}
1311: PETSC_EXTERN PetscErrorCode MatISColoringTest(Mat,ISColoring);
1313: /*S
1314: MatFDColoring - Object for computing a sparse Jacobian via finite differences
1315: and coloring
1317: Level: beginner
1319: Notes:
1320: This object is creating utilizing a coloring provided by the MatColoring object or DMCreateColoring()
1322: .seealso: MatFDColoringCreate(), MatColoring, DMCreateColoring()
1323: S*/
1324: typedef struct _p_MatFDColoring* MatFDColoring;
1326: PETSC_EXTERN PetscErrorCode MatFDColoringCreate(Mat,ISColoring,MatFDColoring *);
1327: PETSC_EXTERN PetscErrorCode MatFDColoringDestroy(MatFDColoring*);
1328: PETSC_EXTERN PetscErrorCode MatFDColoringView(MatFDColoring,PetscViewer);
1329: PETSC_EXTERN PetscErrorCode MatFDColoringSetFunction(MatFDColoring,PetscErrorCode (*)(void),void*);
1330: PETSC_EXTERN PetscErrorCode MatFDColoringGetFunction(MatFDColoring,PetscErrorCode (**)(void),void**);
1331: PETSC_EXTERN PetscErrorCode MatFDColoringSetParameters(MatFDColoring,PetscReal,PetscReal);
1332: PETSC_EXTERN PetscErrorCode MatFDColoringSetFromOptions(MatFDColoring);
1333: PETSC_EXTERN PetscErrorCode MatFDColoringApply(Mat,MatFDColoring,Vec,void *);
1334: PETSC_EXTERN PetscErrorCode MatFDColoringSetF(MatFDColoring,Vec);
1335: PETSC_EXTERN PetscErrorCode MatFDColoringGetPerturbedColumns(MatFDColoring,PetscInt*,const PetscInt*[]);
1336: PETSC_EXTERN PetscErrorCode MatFDColoringSetUp(Mat,ISColoring,MatFDColoring);
1337: PETSC_EXTERN PetscErrorCode MatFDColoringSetBlockSize(MatFDColoring,PetscInt,PetscInt);
1338: PETSC_EXTERN PetscErrorCode MatFDColoringSetValues(Mat,MatFDColoring,const PetscScalar*);
1340: /*S
1341: MatTransposeColoring - Object for computing a sparse matrix product C=A*B^T via coloring
1343: Level: beginner
1345: .seealso: MatTransposeColoringCreate()
1346: S*/
1347: typedef struct _p_MatTransposeColoring* MatTransposeColoring;
1349: PETSC_EXTERN PetscErrorCode MatTransposeColoringCreate(Mat,ISColoring,MatTransposeColoring *);
1350: PETSC_EXTERN PetscErrorCode MatTransColoringApplySpToDen(MatTransposeColoring,Mat,Mat);
1351: PETSC_EXTERN PetscErrorCode MatTransColoringApplyDenToSp(MatTransposeColoring,Mat,Mat);
1352: PETSC_EXTERN PetscErrorCode MatTransposeColoringDestroy(MatTransposeColoring*);
1354: /*
1355: These routines are for partitioning matrices: currently used only
1356: for adjacency matrix, MatCreateMPIAdj().
1357: */
1359: /*S
1360: MatPartitioning - Object for managing the partitioning of a matrix or graph
1362: Level: beginner
1364: Notes:
1365: There is also a PetscPartitioner object that provides the same functionality. It can utilize the MatPartitioning operations
1366: via PetscPartitionerSetType(p,PETSCPARTITIONERMATPARTITIONING)
1368: Developers Note:
1369: It is an extra maintainance and documentation cost to have two objects with the same functionality.
1371: .seealso: MatPartitioningCreate(), MatPartitioningType, MatColoring, MatGetOrdering()
1372: S*/
1373: typedef struct _p_MatPartitioning* MatPartitioning;
1375: /*J
1376: MatPartitioningType - String with the name of a PETSc matrix partitioning
1378: Level: beginner
1379: dm
1380: .seealso: MatPartitioningCreate(), MatPartitioning
1381: J*/
1382: typedef const char* MatPartitioningType;
1383: #define MATPARTITIONINGCURRENT "current"
1384: #define MATPARTITIONINGAVERAGE "average"
1385: #define MATPARTITIONINGSQUARE "square"
1386: #define MATPARTITIONINGPARMETIS "parmetis"
1387: #define MATPARTITIONINGCHACO "chaco"
1388: #define MATPARTITIONINGPARTY "party"
1389: #define MATPARTITIONINGPTSCOTCH "ptscotch"
1390: #define MATPARTITIONINGHIERARCH "hierarch"
1392: PETSC_EXTERN PetscErrorCode MatPartitioningCreate(MPI_Comm,MatPartitioning*);
1393: PETSC_EXTERN PetscErrorCode MatPartitioningSetType(MatPartitioning,MatPartitioningType);
1394: PETSC_EXTERN PetscErrorCode MatPartitioningSetNParts(MatPartitioning,PetscInt);
1395: PETSC_EXTERN PetscErrorCode MatPartitioningSetAdjacency(MatPartitioning,Mat);
1396: PETSC_EXTERN PetscErrorCode MatPartitioningSetVertexWeights(MatPartitioning,const PetscInt[]);
1397: PETSC_EXTERN PetscErrorCode MatPartitioningSetPartitionWeights(MatPartitioning,const PetscReal []);
1398: PETSC_EXTERN PetscErrorCode MatPartitioningSetUseEdgeWeights(MatPartitioning,PetscBool);
1399: PETSC_EXTERN PetscErrorCode MatPartitioningGetUseEdgeWeights(MatPartitioning,PetscBool*);
1400: PETSC_EXTERN PetscErrorCode MatPartitioningApply(MatPartitioning,IS*);
1401: PETSC_EXTERN PetscErrorCode MatPartitioningImprove(MatPartitioning,IS*);
1402: PETSC_EXTERN PetscErrorCode MatPartitioningViewImbalance(MatPartitioning,IS);
1403: PETSC_EXTERN PetscErrorCode MatPartitioningApplyND(MatPartitioning,IS*);
1404: PETSC_EXTERN PetscErrorCode MatPartitioningDestroy(MatPartitioning*);
1405: PETSC_EXTERN PetscErrorCode MatPartitioningRegister(const char[],PetscErrorCode (*)(MatPartitioning));
1406: PETSC_EXTERN PetscErrorCode MatPartitioningView(MatPartitioning,PetscViewer);
1407: PETSC_EXTERN PetscErrorCode MatPartitioningViewFromOptions(MatPartitioning,PetscObject,const char[]);
1408: PETSC_EXTERN PetscErrorCode MatPartitioningSetFromOptions(MatPartitioning);
1409: PETSC_EXTERN PetscErrorCode MatPartitioningGetType(MatPartitioning,MatPartitioningType*);
1411: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetRepartition(MatPartitioning part);
1412: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetCoarseSequential(MatPartitioning);
1413: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisGetEdgeCut(MatPartitioning, PetscInt *);
1415: typedef enum { MP_CHACO_MULTILEVEL=1,MP_CHACO_SPECTRAL=2,MP_CHACO_LINEAR=4,MP_CHACO_RANDOM=5,MP_CHACO_SCATTERED=6 } MPChacoGlobalType;
1416: PETSC_EXTERN const char *const MPChacoGlobalTypes[];
1417: typedef enum { MP_CHACO_KERNIGHAN=1,MP_CHACO_NONE=2 } MPChacoLocalType;
1418: PETSC_EXTERN const char *const MPChacoLocalTypes[];
1419: typedef enum { MP_CHACO_LANCZOS=0,MP_CHACO_RQI=1 } MPChacoEigenType;
1420: PETSC_EXTERN const char *const MPChacoEigenTypes[];
1422: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetGlobal(MatPartitioning,MPChacoGlobalType);
1423: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetGlobal(MatPartitioning,MPChacoGlobalType*);
1424: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetLocal(MatPartitioning,MPChacoLocalType);
1425: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetLocal(MatPartitioning,MPChacoLocalType*);
1426: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetCoarseLevel(MatPartitioning,PetscReal);
1427: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenSolver(MatPartitioning,MPChacoEigenType);
1428: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenSolver(MatPartitioning,MPChacoEigenType*);
1429: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenTol(MatPartitioning,PetscReal);
1430: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenTol(MatPartitioning,PetscReal*);
1431: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenNumber(MatPartitioning,PetscInt);
1432: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenNumber(MatPartitioning,PetscInt*);
1434: #define MP_PARTY_OPT "opt"
1435: #define MP_PARTY_LIN "lin"
1436: #define MP_PARTY_SCA "sca"
1437: #define MP_PARTY_RAN "ran"
1438: #define MP_PARTY_GBF "gbf"
1439: #define MP_PARTY_GCF "gcf"
1440: #define MP_PARTY_BUB "bub"
1441: #define MP_PARTY_DEF "def"
1442: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetGlobal(MatPartitioning,const char*);
1443: #define MP_PARTY_HELPFUL_SETS "hs"
1444: #define MP_PARTY_KERNIGHAN_LIN "kl"
1445: #define MP_PARTY_NONE "no"
1446: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetLocal(MatPartitioning,const char*);
1447: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetCoarseLevel(MatPartitioning,PetscReal);
1448: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetBipart(MatPartitioning,PetscBool);
1449: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetMatchOptimization(MatPartitioning,PetscBool);
1451: typedef enum { MP_PTSCOTCH_DEFAULT,MP_PTSCOTCH_QUALITY,MP_PTSCOTCH_SPEED,MP_PTSCOTCH_BALANCE,MP_PTSCOTCH_SAFETY,MP_PTSCOTCH_SCALABILITY } MPPTScotchStrategyType;
1452: PETSC_EXTERN const char *const MPPTScotchStrategyTypes[];
1454: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetImbalance(MatPartitioning,PetscReal);
1455: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetImbalance(MatPartitioning,PetscReal*);
1456: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetStrategy(MatPartitioning,MPPTScotchStrategyType);
1457: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetStrategy(MatPartitioning,MPPTScotchStrategyType*);
1459: /*
1460: * hierarchical partitioning
1461: */
1462: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetFineparts(MatPartitioning,IS*);
1463: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetCoarseparts(MatPartitioning,IS*);
1464: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNcoarseparts(MatPartitioning,PetscInt);
1465: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNfineparts(MatPartitioning, PetscInt);
1467: PETSC_EXTERN PetscErrorCode MatMeshToVertexGraph(Mat,PetscInt,Mat*);
1468: PETSC_EXTERN PetscErrorCode MatMeshToCellGraph(Mat,PetscInt,Mat*);
1470: /*
1471: If you add entries here you must also add them to include/petscmat.h
1472: and src/mat/f90-mod/petscmat.h
1473: */
1474: typedef enum { MATOP_SET_VALUES=0,
1475: MATOP_GET_ROW=1,
1476: MATOP_RESTORE_ROW=2,
1477: MATOP_MULT=3,
1478: MATOP_MULT_ADD=4,
1479: MATOP_MULT_TRANSPOSE=5,
1480: MATOP_MULT_TRANSPOSE_ADD=6,
1481: MATOP_SOLVE=7,
1482: MATOP_SOLVE_ADD=8,
1483: MATOP_SOLVE_TRANSPOSE=9,
1484: MATOP_SOLVE_TRANSPOSE_ADD=10,
1485: MATOP_LUFACTOR=11,
1486: MATOP_CHOLESKYFACTOR=12,
1487: MATOP_SOR=13,
1488: MATOP_TRANSPOSE=14,
1489: MATOP_GETINFO=15,
1490: MATOP_EQUAL=16,
1491: MATOP_GET_DIAGONAL=17,
1492: MATOP_DIAGONAL_SCALE=18,
1493: MATOP_NORM=19,
1494: MATOP_ASSEMBLY_BEGIN=20,
1495: MATOP_ASSEMBLY_END=21,
1496: MATOP_SET_OPTION=22,
1497: MATOP_ZERO_ENTRIES=23,
1498: MATOP_ZERO_ROWS=24,
1499: MATOP_LUFACTOR_SYMBOLIC=25,
1500: MATOP_LUFACTOR_NUMERIC=26,
1501: MATOP_CHOLESKY_FACTOR_SYMBOLIC=27,
1502: MATOP_CHOLESKY_FACTOR_NUMERIC=28,
1503: MATOP_SETUP_PREALLOCATION=29,
1504: MATOP_ILUFACTOR_SYMBOLIC=30,
1505: MATOP_ICCFACTOR_SYMBOLIC=31,
1506: MATOP_GET_DIAGONAL_BLOCK=32,
1507: MATOP_FREE_INTER_STRUCT=33,
1508: MATOP_DUPLICATE=34,
1509: MATOP_FORWARD_SOLVE=35,
1510: MATOP_BACKWARD_SOLVE=36,
1511: MATOP_ILUFACTOR=37,
1512: MATOP_ICCFACTOR=38,
1513: MATOP_AXPY=39,
1514: MATOP_CREATE_SUBMATRICES=40,
1515: MATOP_INCREASE_OVERLAP=41,
1516: MATOP_GET_VALUES=42,
1517: MATOP_COPY=43,
1518: MATOP_GET_ROW_MAX=44,
1519: MATOP_SCALE=45,
1520: MATOP_SHIFT=46,
1521: MATOP_DIAGONAL_SET=47,
1522: MATOP_ZERO_ROWS_COLUMNS=48,
1523: MATOP_SET_RANDOM=49,
1524: MATOP_GET_ROW_IJ=50,
1525: MATOP_RESTORE_ROW_IJ=51,
1526: MATOP_GET_COLUMN_IJ=52,
1527: MATOP_RESTORE_COLUMN_IJ=53,
1528: MATOP_FDCOLORING_CREATE=54,
1529: MATOP_COLORING_PATCH=55,
1530: MATOP_SET_UNFACTORED=56,
1531: MATOP_PERMUTE=57,
1532: MATOP_SET_VALUES_BLOCKED=58,
1533: MATOP_CREATE_SUBMATRIX=59,
1534: MATOP_DESTROY=60,
1535: MATOP_VIEW=61,
1536: MATOP_CONVERT_FROM=62,
1537: MATOP_MATMAT_MULT=63,
1538: MATOP_MATMAT_MULT_SYMBOLIC=64,
1539: MATOP_MATMAT_MULT_NUMERIC=65,
1540: MATOP_SET_LOCAL_TO_GLOBAL_MAP=66,
1541: MATOP_SET_VALUES_LOCAL=67,
1542: MATOP_ZERO_ROWS_LOCAL=68,
1543: MATOP_GET_ROW_MAX_ABS=69,
1544: MATOP_GET_ROW_MIN_ABS=70,
1545: MATOP_CONVERT=71,
1546: MATOP_SET_COLORING=72,
1547: /* MATOP_PLACEHOLDER_73=73, */
1548: MATOP_SET_VALUES_ADIFOR=74,
1549: MATOP_FD_COLORING_APPLY=75,
1550: MATOP_SET_FROM_OPTIONS=76,
1551: MATOP_MULT_CONSTRAINED=77,
1552: MATOP_MULT_TRANSPOSE_CONSTRAIN=78,
1553: MATOP_FIND_ZERO_DIAGONALS=79,
1554: MATOP_MULT_MULTIPLE=80,
1555: MATOP_SOLVE_MULTIPLE=81,
1556: MATOP_GET_INERTIA=82,
1557: MATOP_LOAD=83,
1558: MATOP_IS_SYMMETRIC=84,
1559: MATOP_IS_HERMITIAN=85,
1560: MATOP_IS_STRUCTURALLY_SYMMETRIC=86,
1561: MATOP_SET_VALUES_BLOCKEDLOCAL=87,
1562: MATOP_CREATE_VECS=88,
1563: MATOP_MAT_MULT=89,
1564: MATOP_MAT_MULT_SYMBOLIC=90,
1565: MATOP_MAT_MULT_NUMERIC=91,
1566: MATOP_PTAP=92,
1567: MATOP_PTAP_SYMBOLIC=93,
1568: MATOP_PTAP_NUMERIC=94,
1569: MATOP_MAT_TRANSPOSE_MULT=95,
1570: MATOP_MAT_TRANSPOSE_MULT_SYMBO=96,
1571: MATOP_MAT_TRANSPOSE_MULT_NUMER=97,
1572: /* MATOP_PLACEHOLDER_98=98, */
1573: /* MATOP_PLACEHOLDER_99=99, */
1574: /* MATOP_PLACEHOLDER_100=100, */
1575: /* MATOP_PLACEHOLDER_101=101, */
1576: MATOP_CONJUGATE=102,
1577: /* MATOP_PLACEHOLDER_103=103, */
1578: MATOP_SET_VALUES_ROW=104,
1579: MATOP_REAL_PART=105,
1580: MATOP_IMAGINARY_PART=106,
1581: MATOP_GET_ROW_UPPER_TRIANGULAR=107,
1582: MATOP_RESTORE_ROW_UPPER_TRIANG=108,
1583: MATOP_MAT_SOLVE=109,
1584: MATOP_MAT_SOLVE_TRANSPOSE=110,
1585: MATOP_GET_ROW_MIN=111,
1586: MATOP_GET_COLUMN_VECTOR=112,
1587: MATOP_MISSING_DIAGONAL=113,
1588: MATOP_GET_SEQ_NONZERO_STRUCTUR=114,
1589: MATOP_CREATE=115,
1590: MATOP_GET_GHOSTS=116,
1591: MATOP_GET_LOCAL_SUB_MATRIX=117,
1592: MATOP_RESTORE_LOCALSUB_MATRIX=118,
1593: MATOP_MULT_DIAGONAL_BLOCK=119,
1594: MATOP_HERMITIAN_TRANSPOSE=120,
1595: MATOP_MULT_HERMITIAN_TRANSPOSE=121,
1596: MATOP_MULT_HERMITIAN_TRANS_ADD=122,
1597: MATOP_GET_MULTI_PROC_BLOCK=123,
1598: MATOP_FIND_NONZERO_ROWS=124,
1599: MATOP_GET_COLUMN_NORMS=125,
1600: MATOP_INVERT_BLOCK_DIAGONAL=126,
1601: /* MATOP_PLACEHOLDER_127=127, */
1602: MATOP_CREATE_SUB_MATRICES_MPI=128,
1603: MATOP_SET_VALUES_BATCH=129,
1604: MATOP_TRANSPOSE_MAT_MULT=130,
1605: MATOP_TRANSPOSE_MAT_MULT_SYMBO=131,
1606: MATOP_TRANSPOSE_MAT_MULT_NUMER=132,
1607: MATOP_TRANSPOSE_COLORING_CREAT=133,
1608: MATOP_TRANS_COLORING_APPLY_SPT=134,
1609: MATOP_TRANS_COLORING_APPLY_DEN=135,
1610: MATOP_RART=136,
1611: MATOP_RART_SYMBOLIC=137,
1612: MATOP_RART_NUMERIC=138,
1613: MATOP_SET_BLOCK_SIZES=139,
1614: MATOP_AYPX=140,
1615: MATOP_RESIDUAL=141,
1616: MATOP_FDCOLORING_SETUP=142,
1617: MATOP_MPICONCATENATESEQ=144,
1618: MATOP_DESTROYSUBMATRICES=145,
1619: MATOP_TRANSPOSE_SOLVE=146,
1620: MATOP_GET_VALUES_LOCAL=147
1621: } MatOperation;
1622: PETSC_EXTERN PetscErrorCode MatSetOperation(Mat,MatOperation,void(*)(void));
1623: PETSC_EXTERN PetscErrorCode MatGetOperation(Mat,MatOperation,void(**)(void));
1624: PETSC_EXTERN PetscErrorCode MatHasOperation(Mat,MatOperation,PetscBool*);
1625: PETSC_EXTERN PetscErrorCode MatHasCongruentLayouts(Mat,PetscBool*);
1626: PETSC_EXTERN PetscErrorCode MatFreeIntermediateDataStructures(Mat);
1628: PETSC_EXTERN PetscErrorCode MatShellSetOperation(Mat,MatOperation,void(*)(void));
1629: PETSC_EXTERN PetscErrorCode MatShellGetOperation(Mat,MatOperation,void(**)(void));
1630: PETSC_EXTERN PetscErrorCode MatShellSetContext(Mat,void*);
1631: PETSC_EXTERN PetscErrorCode MatShellSetVecType(Mat,VecType);
1632: PETSC_EXTERN PetscErrorCode MatShellTestMult(Mat,PetscErrorCode (*)(void*,Vec,Vec),Vec,void*,PetscBool*);
1633: PETSC_EXTERN PetscErrorCode MatShellTestMultTranspose(Mat,PetscErrorCode (*)(void*,Vec,Vec),Vec,void*,PetscBool*);
1634: PETSC_EXTERN PetscErrorCode MatShellSetManageScalingShifts(Mat);
1636: /*
1637: Codes for matrices stored on disk. By default they are
1638: stored in a universal format. By changing the format with
1639: PetscViewerPushFormat(viewer,PETSC_VIEWER_NATIVE); the matrices will
1640: be stored in a way natural for the matrix, for example dense matrices
1641: would be stored as dense. Matrices stored this way may only be
1642: read into matrices of the same type.
1643: */
1644: #define MATRIX_BINARY_FORMAT_DENSE -1
1646: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetHashTableFactor(Mat,PetscReal);
1648: PETSC_EXTERN PetscErrorCode MatISSetLocalMatType(Mat,MatType);
1649: PETSC_EXTERN PetscErrorCode MatISSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1650: PETSC_EXTERN PetscErrorCode MatISStoreL2L(Mat,PetscBool);
1651: PETSC_EXTERN PetscErrorCode MatISFixLocalEmpty(Mat,PetscBool);
1652: PETSC_EXTERN PetscErrorCode MatISGetLocalMat(Mat,Mat*);
1653: PETSC_EXTERN PetscErrorCode MatISRestoreLocalMat(Mat,Mat*);
1654: PETSC_EXTERN PetscErrorCode MatISSetLocalMat(Mat,Mat);
1655: PETSC_EXTERN PETSC_DEPRECATED_FUNCTION("Use the MatConvert() interface (since version 3.10)") PetscErrorCode MatISGetMPIXAIJ(Mat,MatReuse,Mat*);
1657: /*S
1658: MatNullSpace - Object that removes a null space from a vector, i.e.
1659: orthogonalizes the vector to a subsapce
1661: Level: advanced
1663: Users manual sections:
1664: . Section 4.19 Solving Singular Systems
1666: .seealso: MatNullSpaceCreate()
1667: S*/
1668: typedef struct _p_MatNullSpace* MatNullSpace;
1670: PETSC_EXTERN PetscErrorCode MatNullSpaceCreate(MPI_Comm,PetscBool ,PetscInt,const Vec[],MatNullSpace*);
1671: PETSC_EXTERN PetscErrorCode MatNullSpaceSetFunction(MatNullSpace,PetscErrorCode (*)(MatNullSpace,Vec,void*),void*);
1672: PETSC_EXTERN PetscErrorCode MatNullSpaceDestroy(MatNullSpace*);
1673: PETSC_EXTERN PetscErrorCode MatNullSpaceRemove(MatNullSpace,Vec);
1674: PETSC_EXTERN PetscErrorCode MatGetNullSpace(Mat, MatNullSpace *);
1675: PETSC_EXTERN PetscErrorCode MatGetTransposeNullSpace(Mat, MatNullSpace *);
1676: PETSC_EXTERN PetscErrorCode MatSetTransposeNullSpace(Mat,MatNullSpace);
1677: PETSC_EXTERN PetscErrorCode MatSetNullSpace(Mat,MatNullSpace);
1678: PETSC_EXTERN PetscErrorCode MatSetNearNullSpace(Mat,MatNullSpace);
1679: PETSC_EXTERN PetscErrorCode MatGetNearNullSpace(Mat,MatNullSpace*);
1680: PETSC_EXTERN PetscErrorCode MatNullSpaceTest(MatNullSpace,Mat,PetscBool *);
1681: PETSC_EXTERN PetscErrorCode MatNullSpaceView(MatNullSpace,PetscViewer);
1682: PETSC_EXTERN PetscErrorCode MatNullSpaceGetVecs(MatNullSpace,PetscBool*,PetscInt*,const Vec**);
1683: PETSC_EXTERN PetscErrorCode MatNullSpaceCreateRigidBody(Vec,MatNullSpace*);
1685: PETSC_EXTERN PetscErrorCode MatReorderingSeqSBAIJ(Mat,IS);
1686: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetHashTableFactor(Mat,PetscReal);
1687: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetColumnIndices(Mat,PetscInt *);
1688: PETSC_EXTERN PetscErrorCode MatSeqBAIJInvertBlockDiagonal(Mat);
1690: PETSC_EXTERN PetscErrorCode MatCreateMAIJ(Mat,PetscInt,Mat*);
1691: PETSC_EXTERN PetscErrorCode MatMAIJRedimension(Mat,PetscInt,Mat*);
1692: PETSC_EXTERN PetscErrorCode MatMAIJGetAIJ(Mat,Mat*);
1694: PETSC_EXTERN PetscErrorCode MatComputeOperator(Mat,MatType,Mat*);
1695: PETSC_EXTERN PetscErrorCode MatComputeOperatorTranspose(Mat,MatType,Mat*);
1697: PETSC_DEPRECATED_FUNCTION("Use MatComputeOperator() (since version 3.12)") PETSC_STATIC_INLINE PetscErrorCode MatComputeExplicitOperator(Mat A,Mat* B) { return MatComputeOperator(A,NULL,B); }
1698: PETSC_DEPRECATED_FUNCTION("Use MatComputeOperatorTranspose() (since version 3.12)") PETSC_STATIC_INLINE PetscErrorCode MatComputeExplicitOperatorTranspose(Mat A,Mat* B) { return MatComputeOperatorTranspose(A,NULL,B); }
1700: PETSC_EXTERN PetscErrorCode MatCreateKAIJ(Mat,PetscInt,PetscInt,const PetscScalar[],const PetscScalar[],Mat*);
1701: PETSC_EXTERN PetscErrorCode MatKAIJGetAIJ(Mat,Mat*);
1702: PETSC_EXTERN PetscErrorCode MatKAIJGetS(Mat,PetscInt*,PetscInt*,PetscScalar**);
1703: PETSC_EXTERN PetscErrorCode MatKAIJGetSRead(Mat,PetscInt*,PetscInt*,const PetscScalar**);
1704: PETSC_EXTERN PetscErrorCode MatKAIJRestoreS(Mat,PetscScalar**);
1705: PETSC_EXTERN PetscErrorCode MatKAIJRestoreSRead(Mat,const PetscScalar**);
1706: PETSC_EXTERN PetscErrorCode MatKAIJGetT(Mat,PetscInt*,PetscInt*,PetscScalar**);
1707: PETSC_EXTERN PetscErrorCode MatKAIJGetTRead(Mat,PetscInt*,PetscInt*,const PetscScalar**);
1708: PETSC_EXTERN PetscErrorCode MatKAIJRestoreT(Mat,PetscScalar**);
1709: PETSC_EXTERN PetscErrorCode MatKAIJRestoreTRead(Mat,const PetscScalar**);
1710: PETSC_EXTERN PetscErrorCode MatKAIJSetAIJ(Mat,Mat);
1711: PETSC_EXTERN PetscErrorCode MatKAIJSetS(Mat,PetscInt,PetscInt,const PetscScalar[]);
1712: PETSC_EXTERN PetscErrorCode MatKAIJSetT(Mat,PetscInt,PetscInt,const PetscScalar[]);
1713: PETSC_EXTERN PetscErrorCode MatKAIJGetScaledIdentity(Mat,PetscBool*);
1715: PETSC_EXTERN PetscErrorCode MatDiagonalScaleLocal(Mat,Vec);
1717: PETSC_EXTERN PetscErrorCode MatCreateMFFD(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,Mat*);
1718: PETSC_EXTERN PetscErrorCode MatMFFDSetBase(Mat,Vec,Vec);
1719: PETSC_EXTERN PetscErrorCode MatMFFDSetFunction(Mat,PetscErrorCode(*)(void*,Vec,Vec),void*);
1720: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioni(Mat,PetscErrorCode (*)(void*,PetscInt,Vec,PetscScalar*));
1721: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioniBase(Mat,PetscErrorCode (*)(void*,Vec));
1722: PETSC_EXTERN PetscErrorCode MatMFFDSetHHistory(Mat,PetscScalar[],PetscInt);
1723: PETSC_EXTERN PetscErrorCode MatMFFDResetHHistory(Mat);
1724: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctionError(Mat,PetscReal);
1725: PETSC_EXTERN PetscErrorCode MatMFFDSetPeriod(Mat,PetscInt);
1726: PETSC_EXTERN PetscErrorCode MatMFFDGetH(Mat,PetscScalar *);
1727: PETSC_EXTERN PetscErrorCode MatMFFDSetOptionsPrefix(Mat,const char[]);
1728: PETSC_EXTERN PetscErrorCode MatMFFDCheckPositivity(void*,Vec,Vec,PetscScalar*);
1729: PETSC_EXTERN PetscErrorCode MatMFFDSetCheckh(Mat,PetscErrorCode (*)(void*,Vec,Vec,PetscScalar*),void*);
1731: /*S
1732: MatMFFD - A data structured used to manage the computation of the h differencing parameter for matrix-free
1733: Jacobian vector products
1735: Notes:
1736: MATMFFD is a specific MatType which uses the MatMFFD data structure
1738: MatMFFD*() methods actually take the Mat as their first argument. Not a MatMFFD data structure
1740: Level: developer
1742: .seealso: MATMFFD, MatCreateMFFD(), MatMFFDSetFuction(), MatMFFDSetType(), MatMFFDRegister()
1743: S*/
1744: typedef struct _p_MatMFFD* MatMFFD;
1746: /*J
1747: MatMFFDType - algorithm used to compute the h used in computing matrix-vector products via differencing of the function
1749: Level: beginner
1751: .seealso: MatMFFDSetType(), MatMFFDRegister()
1752: J*/
1753: typedef const char* MatMFFDType;
1754: #define MATMFFD_DS "ds"
1755: #define MATMFFD_WP "wp"
1757: PETSC_EXTERN PetscErrorCode MatMFFDSetType(Mat,MatMFFDType);
1758: PETSC_EXTERN PetscErrorCode MatMFFDRegister(const char[],PetscErrorCode (*)(MatMFFD));
1760: PETSC_EXTERN PetscErrorCode MatMFFDDSSetUmin(Mat,PetscReal);
1761: PETSC_EXTERN PetscErrorCode MatMFFDWPSetComputeNormU(Mat,PetscBool );
1763: PETSC_EXTERN PetscErrorCode MatFDColoringSetType(MatFDColoring,MatMFFDType);
1765: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutMatrix(PetscViewer, PetscInt, PetscInt, PetscReal *);
1766: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutCSRMatrix(PetscViewer, PetscInt, PetscInt, PetscInt *, PetscInt *, PetscReal *);
1768: /*
1769: PETSc interface to MUMPS
1770: */
1771: #ifdef PETSC_HAVE_MUMPS
1772: PETSC_EXTERN PetscErrorCode MatMumpsSetIcntl(Mat,PetscInt,PetscInt);
1773: PETSC_EXTERN PetscErrorCode MatMumpsGetIcntl(Mat,PetscInt,PetscInt*);
1774: PETSC_EXTERN PetscErrorCode MatMumpsSetCntl(Mat,PetscInt,PetscReal);
1775: PETSC_EXTERN PetscErrorCode MatMumpsGetCntl(Mat,PetscInt,PetscReal*);
1777: PETSC_EXTERN PetscErrorCode MatMumpsGetInfo(Mat,PetscInt,PetscInt*);
1778: PETSC_EXTERN PetscErrorCode MatMumpsGetInfog(Mat,PetscInt,PetscInt*);
1779: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfo(Mat,PetscInt,PetscReal*);
1780: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfog(Mat,PetscInt,PetscReal*);
1781: PETSC_EXTERN PetscErrorCode MatMumpsGetInverse(Mat,Mat);
1782: PETSC_EXTERN PetscErrorCode MatMumpsGetInverseTranspose(Mat,Mat);
1783: #endif
1785: /*
1786: PETSc interface to Mkl_Pardiso
1787: */
1788: #ifdef PETSC_HAVE_MKL_PARDISO
1789: PETSC_EXTERN PetscErrorCode MatMkl_PardisoSetCntl(Mat,PetscInt,PetscInt);
1790: #endif
1792: /*
1793: PETSc interface to Mkl_CPardiso
1794: */
1795: #ifdef PETSC_HAVE_MKL_CPARDISO
1796: PETSC_EXTERN PetscErrorCode MatMkl_CPardisoSetCntl(Mat,PetscInt,PetscInt);
1797: #endif
1799: /*
1800: PETSc interface to SUPERLU
1801: */
1802: #ifdef PETSC_HAVE_SUPERLU
1803: PETSC_EXTERN PetscErrorCode MatSuperluSetILUDropTol(Mat,PetscReal);
1804: #endif
1806: /*
1807: PETSc interface to SUPERLU_DIST
1808: */
1809: #ifdef PETSC_HAVE_SUPERLU_DIST
1810: PETSC_EXTERN PetscErrorCode MatSuperluDistGetDiagU(Mat,PetscScalar*);
1811: #endif
1813: /*
1814: PETSc interface to STRUMPACK
1815: */
1816: #ifdef PETSC_HAVE_STRUMPACK
1817: /*E
1818: MatSTRUMPACKReordering - sparsity reducing ordering to be used in STRUMPACK
1820: Level: intermediate
1821: E*/
1822: typedef enum {MAT_STRUMPACK_NATURAL=0,
1823: MAT_STRUMPACK_METIS=1,
1824: MAT_STRUMPACK_PARMETIS=2,
1825: MAT_STRUMPACK_SCOTCH=3,
1826: MAT_STRUMPACK_PTSCOTCH=4,
1827: MAT_STRUMPACK_RCM=5} MatSTRUMPACKReordering;
1828: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetReordering(Mat,MatSTRUMPACKReordering);
1829: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetColPerm(Mat,PetscBool);
1830: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSRelTol(Mat,PetscReal);
1831: PETSC_DEPRECATED_FUNCTION("Use MatSTRUMPACKSetHSSRelTol() (since version 3.9)") PETSC_STATIC_INLINE PetscErrorCode MatSTRUMPACKSetHSSRelCompTol(Mat mat,PetscReal rtol) {return MatSTRUMPACKSetHSSRelTol(mat,rtol);}
1832: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSAbsTol(Mat,PetscReal);
1833: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSMinSepSize(Mat,PetscInt);
1834: PETSC_DEPRECATED_FUNCTION("Use MatSTRUMPACKSetHSSMinSepSize() (since version 3.9)") PETSC_STATIC_INLINE PetscErrorCode MatSTRUMPACKSetHSSMinSize(Mat mat,PetscInt hssminsize) {return MatSTRUMPACKSetHSSMinSepSize(mat,hssminsize);}
1835: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSMaxRank(Mat,PetscInt);
1836: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSLeafSize(Mat,PetscInt);
1837: #endif
1840: PETSC_EXTERN PetscErrorCode MatBindToCPU(Mat,PetscBool);
1841: PETSC_DEPRECATED_FUNCTION("Use MatBindToCPU (since v3.13)") PETSC_STATIC_INLINE PetscErrorCode MatPinToCPU(Mat A,PetscBool flg) {return MatBindToCPU(A,flg);}
1843: #ifdef PETSC_HAVE_CUDA
1844: /*E
1845: MatCUSPARSEStorageFormat - indicates the storage format for CUSPARSE (GPU)
1846: matrices.
1848: Not Collective
1850: + MAT_CUSPARSE_CSR - Compressed Sparse Row
1851: . MAT_CUSPARSE_ELL - Ellpack (requires CUDA 4.2 or later).
1852: - MAT_CUSPARSE_HYB - Hybrid, a combination of Ellpack and Coordinate format (requires CUDA 4.2 or later).
1854: Level: intermediate
1856: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
1858: .seealso: MatCUSPARSESetFormat(), MatCUSPARSEFormatOperation
1859: E*/
1861: typedef enum {MAT_CUSPARSE_CSR, MAT_CUSPARSE_ELL, MAT_CUSPARSE_HYB} MatCUSPARSEStorageFormat;
1863: /* these will be strings associated with enumerated type defined above */
1864: PETSC_EXTERN const char *const MatCUSPARSEStorageFormats[];
1866: /*E
1867: MatCUSPARSEFormatOperation - indicates the operation of CUSPARSE (GPU)
1868: matrices whose operation should use a particular storage format.
1870: Not Collective
1872: + MAT_CUSPARSE_MULT_DIAG - sets the storage format for the diagonal matrix in the parallel MatMult
1873: . MAT_CUSPARSE_MULT_OFFDIAG - sets the storage format for the offdiagonal matrix in the parallel MatMult
1874: . MAT_CUSPARSE_MULT - sets the storage format for the entire matrix in the serial (single GPU) MatMult
1875: - MAT_CUSPARSE_ALL - sets the storage format for all CUSPARSE (GPU) matrices
1877: Level: intermediate
1879: .seealso: MatCUSPARSESetFormat(), MatCUSPARSEStorageFormat
1880: E*/
1881: typedef enum {MAT_CUSPARSE_MULT_DIAG, MAT_CUSPARSE_MULT_OFFDIAG, MAT_CUSPARSE_MULT, MAT_CUSPARSE_ALL} MatCUSPARSEFormatOperation;
1883: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCUSPARSE(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
1884: PETSC_EXTERN PetscErrorCode MatCreateAIJCUSPARSE(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
1885: PETSC_EXTERN PetscErrorCode MatCUSPARSESetFormat(Mat,MatCUSPARSEFormatOperation,MatCUSPARSEStorageFormat);
1886: #endif
1888: #if defined(PETSC_HAVE_VIENNACL)
1889: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJViennaCL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
1890: PETSC_EXTERN PetscErrorCode MatCreateAIJViennaCL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
1891: #endif
1893: /*
1894: PETSc interface to FFTW
1895: */
1896: #if defined(PETSC_HAVE_FFTW)
1897: PETSC_EXTERN PetscErrorCode VecScatterPetscToFFTW(Mat,Vec,Vec);
1898: PETSC_EXTERN PetscErrorCode VecScatterFFTWToPetsc(Mat,Vec,Vec);
1899: PETSC_EXTERN PetscErrorCode MatCreateVecsFFTW(Mat,Vec*,Vec*,Vec*);
1900: #endif
1902: PETSC_EXTERN PetscErrorCode MatCreateNest(MPI_Comm,PetscInt,const IS[],PetscInt,const IS[],const Mat[],Mat*);
1903: PETSC_EXTERN PetscErrorCode MatNestGetSize(Mat,PetscInt*,PetscInt*);
1904: PETSC_EXTERN PetscErrorCode MatNestGetISs(Mat,IS[],IS[]);
1905: PETSC_EXTERN PetscErrorCode MatNestGetLocalISs(Mat,IS[],IS[]);
1906: PETSC_EXTERN PetscErrorCode MatNestGetSubMats(Mat,PetscInt*,PetscInt*,Mat***);
1907: PETSC_EXTERN PetscErrorCode MatNestGetSubMat(Mat,PetscInt,PetscInt,Mat*);
1908: PETSC_EXTERN PetscErrorCode MatNestSetVecType(Mat,VecType);
1909: PETSC_EXTERN PetscErrorCode MatNestSetSubMats(Mat,PetscInt,const IS[],PetscInt,const IS[],const Mat[]);
1910: PETSC_EXTERN PetscErrorCode MatNestSetSubMat(Mat,PetscInt,PetscInt,Mat);
1912: PETSC_EXTERN PetscErrorCode MatChop(Mat,PetscReal);
1913: PETSC_EXTERN PetscErrorCode MatComputeBandwidth(Mat,PetscReal,PetscInt*);
1915: PETSC_EXTERN PetscErrorCode MatSubdomainsCreateCoalesce(Mat,PetscInt,PetscInt*,IS**);
1917: PETSC_EXTERN PetscErrorCode MatPreallocatorPreallocate(Mat,PetscBool,Mat);
1919: PETSC_INTERN PetscErrorCode MatHeaderMerge(Mat,Mat*);
1920: PETSC_EXTERN PetscErrorCode MatHeaderReplace(Mat,Mat*);
1922: #endif