Actual source code: petscmat.h
petsc-master 2019-11-13
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 MATLMVMBRDN "lmvmbrdn"
101: #define MATLMVMBADBRDN "lmvmbadbrdn"
102: #define MATLMVMSYMBRDN "lmvmsymbrdn"
103: #define MATLMVMSYMBADBRDN "lmvmsymbadbrdn"
104: #define MATLMVMDIAGBRDN "lmvmdiagbrdn"
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: /* Logging support */
165: #define MAT_FILE_CLASSID 1211216 /* used to indicate matrices in binary files */
166: PETSC_EXTERN PetscClassId MAT_CLASSID;
167: PETSC_EXTERN PetscClassId MAT_COLORING_CLASSID;
168: PETSC_EXTERN PetscClassId MAT_FDCOLORING_CLASSID;
169: PETSC_EXTERN PetscClassId MAT_TRANSPOSECOLORING_CLASSID;
170: PETSC_EXTERN PetscClassId MAT_PARTITIONING_CLASSID;
171: PETSC_EXTERN PetscClassId MAT_COARSEN_CLASSID;
172: PETSC_EXTERN PetscClassId MAT_NULLSPACE_CLASSID;
173: PETSC_EXTERN PetscClassId MATMFFD_CLASSID;
175: /*E
176: MatReuse - Indicates if matrices obtained from a previous call to MatCreateSubMatrices(), MatCreateSubMatrix(), MatConvert() or several other functions
177: are to be reused to store the new matrix values.
179: $ MAT_INITIAL_MATRIX - create a new matrix
180: $ MAT_REUSE_MATRIX - reuse the matrix created with a previous call that used MAT_INITIAL_MATRIX
181: $ MAT_INPLACE_MATRIX - replace the first input matrix with the new matrix (not applicable to all functions)
182: $ MAT_IGNORE_MATRIX - do not create a new matrix or reuse a give matrix, just ignore that matrix argument (not applicable to all functions)
184: Level: beginner
186: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
188: .seealso: MatCreateSubMatrices(), MatCreateSubMatrix(), MatDestroyMatrices(), MatConvert()
189: E*/
190: typedef enum {MAT_INITIAL_MATRIX,MAT_REUSE_MATRIX,MAT_IGNORE_MATRIX,MAT_INPLACE_MATRIX} MatReuse;
192: /*E
193: MatCreateSubMatrixOption - Indicates if matrices obtained from a call to MatCreateSubMatrices()
194: include the matrix values. Currently it is only used by MatGetSeqNonzerostructure().
196: Level: beginner
198: .seealso: MatGetSeqNonzerostructure()
199: E*/
200: typedef enum {MAT_DO_NOT_GET_VALUES,MAT_GET_VALUES} MatCreateSubMatrixOption;
202: PETSC_EXTERN PetscErrorCode MatInitializePackage(void);
204: PETSC_EXTERN PetscErrorCode MatCreate(MPI_Comm,Mat*);
205: PETSC_EXTERN PetscErrorCode MatSetSizes(Mat,PetscInt,PetscInt,PetscInt,PetscInt);
206: PETSC_EXTERN PetscErrorCode MatSetType(Mat,MatType);
207: PETSC_EXTERN PetscErrorCode MatSetFromOptions(Mat);
208: PETSC_EXTERN PetscErrorCode MatViewFromOptions(Mat,PetscObject,const char[]);
209: PETSC_EXTERN PetscErrorCode MatRegister(const char[],PetscErrorCode(*)(Mat));
210: PETSC_EXTERN PetscErrorCode MatRegisterRootName(const char[],const char[],const char[]);
211: PETSC_EXTERN PetscErrorCode MatSetOptionsPrefix(Mat,const char[]);
212: PETSC_EXTERN PetscErrorCode MatAppendOptionsPrefix(Mat,const char[]);
213: PETSC_EXTERN PetscErrorCode MatGetOptionsPrefix(Mat,const char*[]);
214: PETSC_EXTERN PetscErrorCode MatSetErrorIfFailure(Mat,PetscBool);
216: PETSC_EXTERN PetscFunctionList MatList;
217: PETSC_EXTERN PetscFunctionList MatColoringList;
218: PETSC_EXTERN PetscFunctionList MatPartitioningList;
220: /*E
221: MatStructure - Indicates if two matrices have the same nonzero structure
223: Level: beginner
225: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
227: .seealso: MatCopy(), MatAXPY()
228: E*/
229: typedef enum {DIFFERENT_NONZERO_PATTERN,SUBSET_NONZERO_PATTERN,SAME_NONZERO_PATTERN} MatStructure;
231: #if defined PETSC_HAVE_MKL_SPARSE
232: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
233: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
234: PETSC_EXTERN PetscErrorCode MatCreateBAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
235: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
236: #endif
238: PETSC_EXTERN PetscErrorCode MatCreateSeqSELL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
239: PETSC_EXTERN PetscErrorCode MatCreateSELL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
240: PETSC_EXTERN PetscErrorCode MatSeqSELLSetPreallocation(Mat,PetscInt,const PetscInt[]);
241: PETSC_EXTERN PetscErrorCode MatMPISELLSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
243: PETSC_EXTERN PetscErrorCode MatCreateSeqDense(MPI_Comm,PetscInt,PetscInt,PetscScalar[],Mat*);
244: PETSC_EXTERN PetscErrorCode MatCreateDense(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscScalar[],Mat*);
245: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
246: PETSC_EXTERN PetscErrorCode MatCreateAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
247: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat *);
248: PETSC_EXTERN PetscErrorCode MatUpdateMPIAIJWithArrays(Mat,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
249: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSplitArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],PetscInt[],PetscInt[],PetscScalar[],Mat*);
250: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSeqAIJ(MPI_Comm,Mat,Mat,const PetscInt[],Mat*);
252: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
253: PETSC_EXTERN PetscErrorCode MatCreateBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
254: PETSC_EXTERN PetscErrorCode MatCreateMPIBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat*);
256: PETSC_EXTERN PetscErrorCode MatCreateMPIAdj(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscInt[],Mat*);
257: PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
259: PETSC_EXTERN PetscErrorCode MatCreateSBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
260: PETSC_EXTERN PetscErrorCode MatCreateMPISBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat *);
261: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
262: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
263: PETSC_EXTERN PetscErrorCode MatXAIJSetPreallocation(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscInt[],const PetscInt[]);
265: PETSC_EXTERN PetscErrorCode MatCreateShell(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,void *,Mat*);
266: PETSC_EXTERN PetscErrorCode MatCreateNormal(Mat,Mat*);
267: PETSC_EXTERN PetscErrorCode MatCreateNormalHermitian(Mat,Mat*);
268: PETSC_EXTERN PetscErrorCode MatCreateLRC(Mat,Mat,Vec,Mat,Mat*);
269: PETSC_EXTERN PetscErrorCode MatLRCGetMats(Mat,Mat*,Mat*,Vec*,Mat*);
270: PETSC_EXTERN PetscErrorCode MatCreateIS(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,ISLocalToGlobalMapping,ISLocalToGlobalMapping,Mat*);
271: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCRL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
272: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJCRL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
274: PETSC_EXTERN PetscErrorCode MatCreateScatter(MPI_Comm,VecScatter,Mat*);
275: PETSC_EXTERN PetscErrorCode MatScatterSetVecScatter(Mat,VecScatter);
276: PETSC_EXTERN PetscErrorCode MatScatterGetVecScatter(Mat,VecScatter*);
277: PETSC_EXTERN PetscErrorCode MatCreateBlockMat(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt*,Mat*);
278: PETSC_EXTERN PetscErrorCode MatCompositeAddMat(Mat,Mat);
279: PETSC_EXTERN PetscErrorCode MatCompositeMerge(Mat);
280: typedef enum {MAT_COMPOSITE_MERGE_RIGHT,MAT_COMPOSITE_MERGE_LEFT} MatCompositeMergeType;
281: PETSC_EXTERN PetscErrorCode MatCompositeSetMergeType(Mat,MatCompositeMergeType);
282: PETSC_EXTERN PetscErrorCode MatCreateComposite(MPI_Comm,PetscInt,const Mat*,Mat*);
283: typedef enum {MAT_COMPOSITE_ADDITIVE,MAT_COMPOSITE_MULTIPLICATIVE} MatCompositeType;
284: PETSC_EXTERN PetscErrorCode MatCompositeSetType(Mat,MatCompositeType);
285: PETSC_EXTERN PetscErrorCode MatCompositeGetType(Mat,MatCompositeType*);
286: PETSC_EXTERN PetscErrorCode MatCompositeSetMatStructure(Mat,MatStructure);
287: PETSC_EXTERN PetscErrorCode MatCompositeGetMatStructure(Mat,MatStructure*);
288: PETSC_EXTERN PetscErrorCode MatCompositeGetNumberMat(Mat,PetscInt*);
289: PETSC_EXTERN PetscErrorCode MatCompositeGetMat(Mat,PetscInt,Mat*);
290: PETSC_EXTERN PetscErrorCode MatCompositeSetScalings(Mat,const PetscScalar*);
292: PETSC_EXTERN PetscErrorCode MatCreateFFT(MPI_Comm,PetscInt,const PetscInt[],MatType,Mat*);
293: PETSC_EXTERN PetscErrorCode MatCreateSeqCUFFT(MPI_Comm,PetscInt,const PetscInt[],Mat*);
295: PETSC_EXTERN PetscErrorCode MatCreateTranspose(Mat,Mat*);
296: PETSC_EXTERN PetscErrorCode MatTransposeGetMat(Mat,Mat*);
297: PETSC_EXTERN PetscErrorCode MatCreateHermitianTranspose(Mat,Mat*);
298: PETSC_EXTERN PetscErrorCode MatHermitianTransposeGetMat(Mat,Mat*);
299: PETSC_EXTERN PetscErrorCode MatCreateSubMatrixVirtual(Mat,IS,IS,Mat*);
300: PETSC_EXTERN PetscErrorCode MatSubMatrixVirtualUpdate(Mat,Mat,IS,IS);
301: PETSC_EXTERN PetscErrorCode MatCreateLocalRef(Mat,IS,IS,Mat*);
302: PETSC_EXTERN PetscErrorCode MatCreateConstantDiagonal(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscScalar,Mat*);
304: #if defined(PETSC_HAVE_HYPRE)
305: PETSC_EXTERN PetscErrorCode MatHYPRESetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
306: #endif
308: PETSC_EXTERN PetscErrorCode MatPythonSetType(Mat,const char[]);
310: PETSC_EXTERN PetscErrorCode MatResetPreallocation(Mat);
311: PETSC_EXTERN PetscErrorCode MatSetUp(Mat);
312: PETSC_EXTERN PetscErrorCode MatDestroy(Mat*);
313: PETSC_EXTERN PetscErrorCode MatGetNonzeroState(Mat,PetscObjectState*);
315: PETSC_EXTERN PetscErrorCode MatConjugate(Mat);
316: PETSC_EXTERN PetscErrorCode MatRealPart(Mat);
317: PETSC_EXTERN PetscErrorCode MatImaginaryPart(Mat);
318: PETSC_EXTERN PetscErrorCode MatGetDiagonalBlock(Mat,Mat*);
319: PETSC_EXTERN PetscErrorCode MatGetTrace(Mat,PetscScalar*);
320: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonal(Mat,const PetscScalar **);
321: PETSC_EXTERN PetscErrorCode MatInvertVariableBlockDiagonal(Mat,PetscInt,const PetscInt*,PetscScalar*);
322: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonalMat(Mat,Mat);
324: /* ------------------------------------------------------------*/
325: PETSC_EXTERN PetscErrorCode MatSetValues(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
326: PETSC_EXTERN PetscErrorCode MatSetValuesBlocked(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
327: PETSC_EXTERN PetscErrorCode MatSetValuesRow(Mat,PetscInt,const PetscScalar[]);
328: PETSC_EXTERN PetscErrorCode MatSetValuesRowLocal(Mat,PetscInt,const PetscScalar[]);
329: PETSC_EXTERN PetscErrorCode MatSetValuesBatch(Mat,PetscInt,PetscInt,PetscInt[],const PetscScalar[]);
330: PETSC_EXTERN PetscErrorCode MatSetRandom(Mat,PetscRandom);
332: /*S
333: MatStencil - Data structure (C struct) for storing information about a single row or
334: column of a matrix as indexed on an associated grid. These are arguments to MatSetStencil() and MatSetBlockStencil()
336: 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).
337: 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.
339: For stencil access to vectors see DMDAVecGetArray(), DMDAVecGetArrayF90().
341: Fortran usage is different, see MatSetValuesStencil() for details.
343: Level: beginner
345: .seealso: MatSetValuesStencil(), MatSetStencil(), MatSetValuesBlockedStencil(), DMDAVecGetArray(), DMDAVecGetArrayF90()
346: S*/
347: typedef struct {
348: PetscInt k,j,i,c;
349: } MatStencil;
351: PETSC_EXTERN PetscErrorCode MatSetValuesStencil(Mat,PetscInt,const MatStencil[],PetscInt,const MatStencil[],const PetscScalar[],InsertMode);
352: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedStencil(Mat,PetscInt,const MatStencil[],PetscInt,const MatStencil[],const PetscScalar[],InsertMode);
353: PETSC_EXTERN PetscErrorCode MatSetStencil(Mat,PetscInt,const PetscInt[],const PetscInt[],PetscInt);
355: /*E
356: MatAssemblyType - Indicates if the matrix is now to be used, or if you plan
357: to continue to add or insert values to it
359: Level: beginner
361: .seealso: MatAssemblyBegin(), MatAssemblyEnd()
362: E*/
363: typedef enum {MAT_FLUSH_ASSEMBLY=1,MAT_FINAL_ASSEMBLY=0} MatAssemblyType;
364: PETSC_EXTERN PetscErrorCode MatAssemblyBegin(Mat,MatAssemblyType);
365: PETSC_EXTERN PetscErrorCode MatAssemblyEnd(Mat,MatAssemblyType);
366: PETSC_EXTERN PetscErrorCode MatAssembled(Mat,PetscBool *);
370: /*E
371: MatOption - Options that may be set for a matrix and its behavior or storage
373: Level: beginner
375: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
376: Any additions/changes here must also be made in src/mat/interface/dlregismat.c in MatOptions[]
378: Developer Notes:
379: Entries that are negative need not be called collectively by all processes.
381: .seealso: MatSetOption()
382: E*/
383: typedef enum {MAT_OPTION_MIN = -3,
384: MAT_UNUSED_NONZERO_LOCATION_ERR = -2,
385: MAT_ROW_ORIENTED = -1,
386: MAT_SYMMETRIC = 1,
387: MAT_STRUCTURALLY_SYMMETRIC = 2,
388: MAT_NEW_DIAGONALS = 3,
389: MAT_IGNORE_OFF_PROC_ENTRIES = 4,
390: MAT_USE_HASH_TABLE = 5,
391: MAT_KEEP_NONZERO_PATTERN = 6,
392: MAT_IGNORE_ZERO_ENTRIES = 7,
393: MAT_USE_INODES = 8,
394: MAT_HERMITIAN = 9,
395: MAT_SYMMETRY_ETERNAL = 10,
396: MAT_NEW_NONZERO_LOCATION_ERR = 11,
397: MAT_IGNORE_LOWER_TRIANGULAR = 12,
398: MAT_ERROR_LOWER_TRIANGULAR = 13,
399: MAT_GETROW_UPPERTRIANGULAR = 14,
400: MAT_SPD = 15,
401: MAT_NO_OFF_PROC_ZERO_ROWS = 16,
402: MAT_NO_OFF_PROC_ENTRIES = 17,
403: MAT_NEW_NONZERO_LOCATIONS = 18,
404: MAT_NEW_NONZERO_ALLOCATION_ERR = 19,
405: MAT_SUBSET_OFF_PROC_ENTRIES = 20,
406: MAT_SUBMAT_SINGLEIS = 21,
407: MAT_STRUCTURE_ONLY = 22,
408: MAT_SORTED_FULL = 23,
409: MAT_OPTION_MAX = 24} MatOption;
411: PETSC_EXTERN const char *const *MatOptions;
412: PETSC_EXTERN PetscErrorCode MatSetOption(Mat,MatOption,PetscBool);
413: PETSC_EXTERN PetscErrorCode MatGetOption(Mat,MatOption,PetscBool*);
414: PETSC_EXTERN PetscErrorCode MatGetType(Mat,MatType*);
416: PETSC_EXTERN PetscErrorCode MatGetValues(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],PetscScalar[]);
417: PETSC_EXTERN PetscErrorCode MatGetRow(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
418: PETSC_EXTERN PetscErrorCode MatRestoreRow(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
419: PETSC_EXTERN PetscErrorCode MatGetRowUpperTriangular(Mat);
420: PETSC_EXTERN PetscErrorCode MatRestoreRowUpperTriangular(Mat);
421: PETSC_EXTERN PetscErrorCode MatGetColumnVector(Mat,Vec,PetscInt);
422: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArray(Mat,PetscScalar *[]);
423: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArrayRead(Mat,const PetscScalar *[]);
424: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArray(Mat,PetscScalar *[]);
425: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArrayRead(Mat,const PetscScalar *[]);
426: PETSC_EXTERN PetscErrorCode MatSeqAIJGetMaxRowNonzeros(Mat,PetscInt*);
427: PETSC_EXTERN PetscErrorCode MatSeqAIJSetValuesLocalFast(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
428: PETSC_EXTERN PetscErrorCode MatSeqAIJSetType(Mat,MatType);
429: PETSC_EXTERN PetscErrorCode MatSeqAIJRegister(const char[],PetscErrorCode (*)(Mat,MatType,MatReuse,Mat *));
430: PETSC_EXTERN PetscFunctionList MatSeqAIJList;
431: PETSC_EXTERN PetscErrorCode MatSeqBAIJGetArray(Mat,PetscScalar *[]);
432: PETSC_EXTERN PetscErrorCode MatSeqBAIJRestoreArray(Mat,PetscScalar *[]);
433: PETSC_EXTERN PetscErrorCode MatSeqSBAIJGetArray(Mat,PetscScalar *[]);
434: PETSC_EXTERN PetscErrorCode MatSeqSBAIJRestoreArray(Mat,PetscScalar *[]);
435: PETSC_EXTERN PetscErrorCode MatDenseGetArray(Mat,PetscScalar *[]);
436: PETSC_EXTERN PetscErrorCode MatDenseRestoreArray(Mat,PetscScalar *[]);
437: PETSC_EXTERN PetscErrorCode MatDensePlaceArray(Mat,const PetscScalar[]);
438: PETSC_EXTERN PetscErrorCode MatDenseResetArray(Mat);
439: PETSC_EXTERN PetscErrorCode MatDenseGetArrayRead(Mat,const PetscScalar *[]);
440: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayRead(Mat,const PetscScalar *[]);
441: PETSC_EXTERN PetscErrorCode MatGetBlockSize(Mat,PetscInt *);
442: PETSC_EXTERN PetscErrorCode MatSetBlockSize(Mat,PetscInt);
443: PETSC_EXTERN PetscErrorCode MatGetBlockSizes(Mat,PetscInt *,PetscInt *);
444: PETSC_EXTERN PetscErrorCode MatSetBlockSizes(Mat,PetscInt,PetscInt);
445: PETSC_EXTERN PetscErrorCode MatSetBlockSizesFromMats(Mat,Mat,Mat);
446: PETSC_EXTERN PetscErrorCode MatSetVariableBlockSizes(Mat,PetscInt,PetscInt*);
447: PETSC_EXTERN PetscErrorCode MatGetVariableBlockSizes(Mat,PetscInt*,const PetscInt**);
449: PETSC_EXTERN PetscErrorCode MatDenseGetColumn(Mat,PetscInt,PetscScalar *[]);
450: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumn(Mat,PetscScalar *[]);
452: PETSC_EXTERN PetscErrorCode MatMult(Mat,Vec,Vec);
453: PETSC_EXTERN PetscErrorCode MatMultDiagonalBlock(Mat,Vec,Vec);
454: PETSC_EXTERN PetscErrorCode MatMultAdd(Mat,Vec,Vec,Vec);
455: PETSC_EXTERN PetscErrorCode MatMultTranspose(Mat,Vec,Vec);
456: PETSC_EXTERN PetscErrorCode MatMultHermitianTranspose(Mat,Vec,Vec);
457: PETSC_EXTERN PetscErrorCode MatIsTranspose(Mat,Mat,PetscReal,PetscBool *);
458: PETSC_EXTERN PetscErrorCode MatIsHermitianTranspose(Mat,Mat,PetscReal,PetscBool *);
459: PETSC_EXTERN PetscErrorCode MatMultTransposeAdd(Mat,Vec,Vec,Vec);
460: PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeAdd(Mat,Vec,Vec,Vec);
461: PETSC_EXTERN PetscErrorCode MatMultConstrained(Mat,Vec,Vec);
462: PETSC_EXTERN PetscErrorCode MatMultTransposeConstrained(Mat,Vec,Vec);
463: PETSC_EXTERN PetscErrorCode MatMatSolve(Mat,Mat,Mat);
464: PETSC_EXTERN PetscErrorCode MatMatSolveTranspose(Mat,Mat,Mat);
465: PETSC_EXTERN PetscErrorCode MatMatTransposeSolve(Mat,Mat,Mat);
466: PETSC_EXTERN PetscErrorCode MatResidual(Mat,Vec,Vec,Vec);
468: /*E
469: MatDuplicateOption - Indicates if a duplicated sparse matrix should have
470: its numerical values copied over or just its nonzero structure.
472: Level: beginner
474: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
476: $ MAT_DO_NOT_COPY_VALUES - Create a matrix using the same nonzero pattern as the original matrix,
477: $ with zeros for the numerical values.
478: $ MAT_COPY_VALUES - Create a matrix with the same nonzero pattern as the original matrix
479: $ and with the same numerical values.
480: $ MAT_SHARE_NONZERO_PATTERN - Create a matrix that shares the nonzero structure with the previous matrix
481: $ and does not copy it, using zeros for the numerical values. The parent and
482: $ child matrices will share their index (i and j) arrays, and you cannot
483: $ insert new nonzero entries into either matrix.
485: Notes:
486: Many matrix types (including SeqAIJ) do not support the MAT_SHARE_NONZERO_PATTERN optimization; in
487: this case the behavior is as if MAT_DO_NOT_COPY_VALUES has been specified.
489: .seealso: MatDuplicate()
490: E*/
491: typedef enum {MAT_DO_NOT_COPY_VALUES,MAT_COPY_VALUES,MAT_SHARE_NONZERO_PATTERN} MatDuplicateOption;
493: PETSC_EXTERN PetscErrorCode MatConvert(Mat,MatType,MatReuse,Mat*);
494: PETSC_EXTERN PetscErrorCode MatDuplicate(Mat,MatDuplicateOption,Mat*);
497: PETSC_EXTERN PetscErrorCode MatCopy(Mat,Mat,MatStructure);
498: PETSC_EXTERN PetscErrorCode MatView(Mat,PetscViewer);
499: PETSC_EXTERN PetscErrorCode MatIsSymmetric(Mat,PetscReal,PetscBool *);
500: PETSC_EXTERN PetscErrorCode MatIsStructurallySymmetric(Mat,PetscBool *);
501: PETSC_EXTERN PetscErrorCode MatIsHermitian(Mat,PetscReal,PetscBool *);
502: PETSC_EXTERN PetscErrorCode MatIsSymmetricKnown(Mat,PetscBool *,PetscBool *);
503: PETSC_EXTERN PetscErrorCode MatIsHermitianKnown(Mat,PetscBool *,PetscBool *);
504: PETSC_EXTERN PetscErrorCode MatMissingDiagonal(Mat,PetscBool *,PetscInt *);
505: PETSC_EXTERN PetscErrorCode MatLoad(Mat, PetscViewer);
507: PETSC_EXTERN PetscErrorCode MatGetRowIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool *);
508: PETSC_EXTERN PetscErrorCode MatRestoreRowIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt *,const PetscInt *[],const PetscInt *[],PetscBool *);
509: PETSC_EXTERN PetscErrorCode MatGetColumnIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool *);
510: PETSC_EXTERN PetscErrorCode MatRestoreColumnIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt *,const PetscInt *[],const PetscInt *[],PetscBool *);
512: /*S
513: MatInfo - Context of matrix information, used with MatGetInfo()
515: In Fortran this is simply a double precision array of dimension MAT_INFO_SIZE
517: Level: intermediate
519: .seealso: MatGetInfo(), MatInfoType
520: S*/
521: typedef struct {
522: PetscLogDouble block_size; /* block size */
523: PetscLogDouble nz_allocated,nz_used,nz_unneeded; /* number of nonzeros */
524: PetscLogDouble memory; /* memory allocated */
525: PetscLogDouble assemblies; /* number of matrix assemblies called */
526: PetscLogDouble mallocs; /* number of mallocs during MatSetValues() */
527: PetscLogDouble fill_ratio_given,fill_ratio_needed; /* fill ratio for LU/ILU */
528: PetscLogDouble factor_mallocs; /* number of mallocs during factorization */
529: } MatInfo;
531: /*E
532: MatInfoType - Indicates if you want information about the local part of the matrix,
533: the entire parallel matrix or the maximum over all the local parts.
535: Level: beginner
537: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
539: .seealso: MatGetInfo(), MatInfo
540: E*/
541: typedef enum {MAT_LOCAL=1,MAT_GLOBAL_MAX=2,MAT_GLOBAL_SUM=3} MatInfoType;
542: PETSC_EXTERN PetscErrorCode MatGetInfo(Mat,MatInfoType,MatInfo*);
543: PETSC_EXTERN PetscErrorCode MatGetDiagonal(Mat,Vec);
544: PETSC_EXTERN PetscErrorCode MatGetRowMax(Mat,Vec,PetscInt[]);
545: PETSC_EXTERN PetscErrorCode MatGetRowMin(Mat,Vec,PetscInt[]);
546: PETSC_EXTERN PetscErrorCode MatGetRowMaxAbs(Mat,Vec,PetscInt[]);
547: PETSC_EXTERN PetscErrorCode MatGetRowMinAbs(Mat,Vec,PetscInt[]);
548: PETSC_EXTERN PetscErrorCode MatGetRowSum(Mat,Vec);
549: PETSC_EXTERN PetscErrorCode MatTranspose(Mat,MatReuse,Mat*);
550: PETSC_EXTERN PetscErrorCode MatHermitianTranspose(Mat,MatReuse,Mat*);
551: PETSC_EXTERN PetscErrorCode MatPermute(Mat,IS,IS,Mat*);
552: PETSC_EXTERN PetscErrorCode MatDiagonalScale(Mat,Vec,Vec);
553: PETSC_EXTERN PetscErrorCode MatDiagonalSet(Mat,Vec,InsertMode);
555: PETSC_EXTERN PetscErrorCode MatEqual(Mat,Mat,PetscBool*);
556: PETSC_EXTERN PetscErrorCode MatMultEqual(Mat,Mat,PetscInt,PetscBool*);
557: PETSC_EXTERN PetscErrorCode MatMultAddEqual(Mat,Mat,PetscInt,PetscBool*);
558: PETSC_EXTERN PetscErrorCode MatMultTransposeEqual(Mat,Mat,PetscInt,PetscBool*);
559: PETSC_EXTERN PetscErrorCode MatMultTransposeAddEqual(Mat,Mat,PetscInt,PetscBool*);
560: PETSC_EXTERN PetscErrorCode MatMatMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
561: PETSC_EXTERN PetscErrorCode MatTransposeMatMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
562: PETSC_EXTERN PetscErrorCode MatMatTransposeMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
563: PETSC_EXTERN PetscErrorCode MatIsLinear(Mat,PetscInt,PetscBool*);
565: PETSC_EXTERN PetscErrorCode MatNorm(Mat,NormType,PetscReal*);
566: PETSC_EXTERN PetscErrorCode MatGetColumnNorms(Mat,NormType,PetscReal*);
567: PETSC_EXTERN PetscErrorCode MatZeroEntries(Mat);
568: PETSC_EXTERN PetscErrorCode MatZeroRows(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
569: PETSC_EXTERN PetscErrorCode MatZeroRowsIS(Mat,IS,PetscScalar,Vec,Vec);
570: PETSC_EXTERN PetscErrorCode MatZeroRowsStencil(Mat,PetscInt,const MatStencil [],PetscScalar,Vec,Vec);
571: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsStencil(Mat,PetscInt,const MatStencil[],PetscScalar,Vec,Vec);
572: PETSC_EXTERN PetscErrorCode MatZeroRowsColumns(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
573: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsIS(Mat,IS,PetscScalar,Vec,Vec);
575: PETSC_EXTERN PetscErrorCode MatGetSize(Mat,PetscInt*,PetscInt*);
576: PETSC_EXTERN PetscErrorCode MatGetLocalSize(Mat,PetscInt*,PetscInt*);
577: PETSC_EXTERN PetscErrorCode MatGetOwnershipRange(Mat,PetscInt*,PetscInt*);
578: PETSC_EXTERN PetscErrorCode MatGetOwnershipRanges(Mat,const PetscInt**);
579: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangeColumn(Mat,PetscInt*,PetscInt*);
580: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangesColumn(Mat,const PetscInt**);
581: PETSC_EXTERN PetscErrorCode MatGetOwnershipIS(Mat,IS*,IS*);
583: PETSC_EXTERN PetscErrorCode MatCreateSubMatrices(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
584: 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);}
585: PETSC_EXTERN PetscErrorCode MatCreateSubMatricesMPI(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
586: 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);}
587: PETSC_EXTERN PetscErrorCode MatDestroyMatrices(PetscInt,Mat *[]);
588: PETSC_EXTERN PetscErrorCode MatDestroySubMatrices(PetscInt,Mat *[]);
589: PETSC_EXTERN PetscErrorCode MatCreateSubMatrix(Mat,IS,IS,MatReuse,Mat *);
590: 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);}
591: PETSC_EXTERN PetscErrorCode MatGetLocalSubMatrix(Mat,IS,IS,Mat*);
592: PETSC_EXTERN PetscErrorCode MatRestoreLocalSubMatrix(Mat,IS,IS,Mat*);
593: PETSC_EXTERN PetscErrorCode MatGetSeqNonzeroStructure(Mat,Mat*);
594: PETSC_EXTERN PetscErrorCode MatDestroySeqNonzeroStructure(Mat*);
596: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJ(MPI_Comm,Mat,PetscInt,PetscInt,MatReuse,Mat*);
597: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJSymbolic(MPI_Comm,Mat,PetscInt,PetscInt,Mat*);
598: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJNumeric(Mat,Mat);
599: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMat(Mat,MatReuse,Mat*);
600: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMatCondensed(Mat,MatReuse,IS*,IS*,Mat*);
601: PETSC_EXTERN PetscErrorCode MatGetBrowsOfAcols(Mat,Mat,MatReuse,IS*,IS*,Mat*);
602: PETSC_EXTERN PetscErrorCode MatGetGhosts(Mat, PetscInt *,const PetscInt *[]);
604: PETSC_EXTERN PetscErrorCode MatIncreaseOverlap(Mat,PetscInt,IS[],PetscInt);
605: PETSC_EXTERN PetscErrorCode MatIncreaseOverlapSplit(Mat mat,PetscInt n,IS is[],PetscInt ov);
606: PETSC_EXTERN PetscErrorCode MatMPIAIJSetUseScalableIncreaseOverlap(Mat,PetscBool);
608: PETSC_EXTERN PetscErrorCode MatMatMult(Mat,Mat,MatReuse,PetscReal,Mat*);
609: PETSC_EXTERN PetscErrorCode MatMatMultSymbolic(Mat,Mat,PetscReal,Mat*);
610: PETSC_EXTERN PetscErrorCode MatMatMultNumeric(Mat,Mat,Mat);
612: PETSC_EXTERN PetscErrorCode MatMatMatMult(Mat,Mat,Mat,MatReuse,PetscReal,Mat*);
613: PETSC_EXTERN PetscErrorCode MatGalerkin(Mat,Mat,Mat,MatReuse,PetscReal,Mat*);
615: PETSC_EXTERN PetscErrorCode MatPtAP(Mat,Mat,MatReuse,PetscReal,Mat*);
616: PETSC_EXTERN PetscErrorCode MatPtAPSymbolic(Mat,Mat,PetscReal,Mat*);
617: PETSC_EXTERN PetscErrorCode MatPtAPNumeric(Mat,Mat,Mat);
618: PETSC_EXTERN PetscErrorCode MatRARt(Mat,Mat,MatReuse,PetscReal,Mat*);
619: PETSC_EXTERN PetscErrorCode MatRARtSymbolic(Mat,Mat,PetscReal,Mat*);
620: PETSC_EXTERN PetscErrorCode MatRARtNumeric(Mat,Mat,Mat);
622: PETSC_EXTERN PetscErrorCode MatTransposeMatMult(Mat,Mat,MatReuse,PetscReal,Mat*);
623: PETSC_EXTERN PetscErrorCode MatTransposetMatMultSymbolic(Mat,Mat,PetscReal,Mat*);
624: PETSC_EXTERN PetscErrorCode MatTransposetMatMultNumeric(Mat,Mat,Mat);
625: PETSC_EXTERN PetscErrorCode MatMatTransposeMult(Mat,Mat,MatReuse,PetscReal,Mat*);
626: PETSC_EXTERN PetscErrorCode MatMatTransposeMultSymbolic(Mat,Mat,PetscReal,Mat*);
627: PETSC_EXTERN PetscErrorCode MatMatTransposeMultNumeric(Mat,Mat,Mat);
629: PETSC_EXTERN PetscErrorCode MatAXPY(Mat,PetscScalar,Mat,MatStructure);
630: PETSC_EXTERN PetscErrorCode MatAYPX(Mat,PetscScalar,Mat,MatStructure);
632: PETSC_EXTERN PetscErrorCode MatScale(Mat,PetscScalar);
633: PETSC_EXTERN PetscErrorCode MatShift(Mat,PetscScalar);
635: PETSC_EXTERN PetscErrorCode MatSetLocalToGlobalMapping(Mat,ISLocalToGlobalMapping,ISLocalToGlobalMapping);
636: PETSC_EXTERN PetscErrorCode MatGetLocalToGlobalMapping(Mat,ISLocalToGlobalMapping*,ISLocalToGlobalMapping*);
637: PETSC_EXTERN PetscErrorCode MatGetLayouts(Mat,PetscLayout*,PetscLayout*);
638: PETSC_EXTERN PetscErrorCode MatZeroRowsLocal(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
639: PETSC_EXTERN PetscErrorCode MatZeroRowsLocalIS(Mat,IS,PetscScalar,Vec,Vec);
640: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocal(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
641: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocalIS(Mat,IS,PetscScalar,Vec,Vec);
642: PETSC_EXTERN PetscErrorCode MatSetValuesLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
643: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
645: PETSC_EXTERN PetscErrorCode MatStashSetInitialSize(Mat,PetscInt,PetscInt);
646: PETSC_EXTERN PetscErrorCode MatStashGetInfo(Mat,PetscInt*,PetscInt*,PetscInt*,PetscInt*);
648: PETSC_EXTERN PetscErrorCode MatInterpolate(Mat,Vec,Vec);
649: PETSC_EXTERN PetscErrorCode MatInterpolateAdd(Mat,Vec,Vec,Vec);
650: PETSC_EXTERN PetscErrorCode MatRestrict(Mat,Vec,Vec);
651: PETSC_EXTERN PetscErrorCode MatCreateVecs(Mat,Vec*,Vec*);
652: 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);}
653: PETSC_EXTERN PetscErrorCode MatCreateRedundantMatrix(Mat,PetscInt,MPI_Comm,MatReuse,Mat*);
654: PETSC_EXTERN PetscErrorCode MatGetMultiProcBlock(Mat,MPI_Comm,MatReuse,Mat*);
655: PETSC_EXTERN PetscErrorCode MatFindZeroDiagonals(Mat,IS*);
656: PETSC_EXTERN PetscErrorCode MatFindOffBlockDiagonalEntries(Mat,IS*);
657: PETSC_EXTERN PetscErrorCode MatCreateMPIMatConcatenateSeqMat(MPI_Comm,Mat,PetscInt,MatReuse,Mat*);
659: /*MC
660: MatSetValue - Set a single entry into a matrix.
662: Not collective
664: Synopsis:
665: #include <petscmat.h>
666: PetscErrorCode MatSetValue(Mat m,PetscInt row,PetscInt col,PetscScalar value,InsertMode mode)
668: Input Parameters:
669: + m - the matrix
670: . row - the row location of the entry
671: . col - the column location of the entry
672: . value - the value to insert
673: - mode - either INSERT_VALUES or ADD_VALUES
675: Notes:
676: For efficiency one should use MatSetValues() and set several or many
677: values simultaneously if possible.
679: Level: beginner
681: .seealso: MatSetValues(), MatSetValueLocal()
682: M*/
683: PETSC_STATIC_INLINE PetscErrorCode MatSetValue(Mat v,PetscInt i,PetscInt j,PetscScalar va,InsertMode mode) {return MatSetValues(v,1,&i,1,&j,&va,mode);}
685: PETSC_STATIC_INLINE PetscErrorCode MatGetValue(Mat v,PetscInt i,PetscInt j,PetscScalar *va) {return MatGetValues(v,1,&i,1,&j,va);}
687: PETSC_STATIC_INLINE PetscErrorCode MatSetValueLocal(Mat v,PetscInt i,PetscInt j,PetscScalar va,InsertMode mode) {return MatSetValuesLocal(v,1,&i,1,&j,&va,mode);}
689: /*MC
690: MatPreallocateInitialize - Begins the block of code that will count the number of nonzeros per
691: row in a matrix providing the data that one can use to correctly preallocate the matrix.
693: Synopsis:
694: #include <petscmat.h>
695: PetscErrorCode MatPreallocateInitialize(MPI_Comm comm, PetscInt nrows, PetscInt ncols, PetscInt *dnz, PetscInt *onz)
697: Collective
699: Input Parameters:
700: + comm - the communicator that will share the eventually allocated matrix
701: . nrows - the number of LOCAL rows in the matrix
702: - ncols - the number of LOCAL columns in the matrix
704: Output Parameters:
705: + dnz - the array that will be passed to the matrix preallocation routines
706: - onz - the other array passed to the matrix preallocation routines
708: Level: intermediate
710: Notes:
711: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
713: Do not malloc or free dnz and onz, that is handled internally by these routines
715: This is a MACRO not a function because it has a leading { that is closed by PetscPreallocateFinalize().
717: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
718: MatPreallocateSymmetricSetLocalBlock()
719: M*/
720: #define MatPreallocateInitialize(comm,nrows,ncols,dnz,onz) 0; \
721: do { \
722: PetscErrorCode _4_ierr; PetscInt __nrows = (nrows),__ncols = (ncols),__rstart,__start,__end; \
723: _4_PetscCalloc2((size_t)__nrows,&dnz,(size_t)__nrows,&onz);CHKERRQ(_4_ierr); \
724: __start = 0; __end = __start; \
725: _4_MPI_Scan(&__ncols,&__end,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __start = __end - __ncols;\
726: _4_MPI_Scan(&__nrows,&__rstart,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __rstart = __rstart - __nrows; \
727: do { } while(0)
729: /*MC
730: MatPreallocateSetLocal - Indicates the locations (rows and columns) in the matrix where nonzeros will be
731: inserted using a local number of the rows and columns
733: Synopsis:
734: #include <petscmat.h>
735: PetscErrorCode MatPreallocateSetLocal(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
737: Not Collective
739: Input Parameters:
740: + map - the row mapping from local numbering to global numbering
741: . nrows - the number of rows indicated
742: . rows - the indices of the rows
743: . cmap - the column mapping from local to global numbering
744: . ncols - the number of columns in the matrix
745: . cols - the columns indicated
746: . dnz - the array that will be passed to the matrix preallocation routines
747: - onz - the other array passed to the matrix preallocation routines
749: Level: intermediate
751: Notes:
752: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
754: Do not malloc or free dnz and onz, that is handled internally by these routines
756: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
757: MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock(), MatPreallocateSetLocalRemoveDups()
758: M*/
759: #define MatPreallocateSetLocal(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
760: do {\
761: PetscInt __l;\
762: _4_ISLocalToGlobalMappingApply(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
763: _4_ISLocalToGlobalMappingApply(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
764: for (__l=0;__l<nrows;__l++) {\
765: _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
766: }\
767: } while (0)
769: /*MC
770: MatPreallocateSetLocalRemoveDups - Indicates the locations (rows and columns) in the matrix where nonzeros will be
771: inserted using a local number of the rows and columns. This version removes any duplicate columns in cols
773: Synopsis:
774: #include <petscmat.h>
775: PetscErrorCode MatPreallocateSetLocalRemoveDups(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
777: Not Collective
779: Input Parameters:
780: + map - the row mapping from local numbering to global numbering
781: . nrows - the number of rows indicated
782: . rows - the indices of the rows (these values are mapped to the global values)
783: . cmap - the column mapping from local to global numbering
784: . ncols - the number of columns in the matrix (this value will be changed if duplicate columns are found)
785: . cols - the columns indicated (these values are mapped to the global values, they are then sorted and duplicates removed)
786: . dnz - the array that will be passed to the matrix preallocation routines
787: - onz - the other array passed to the matrix preallocation routines
789: Level: intermediate
791: Notes:
792: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
794: Do not malloc or free dnz and onz, that is handled internally by these routines
796: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
797: MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock(), MatPreallocateSetLocal()
798: M*/
799: #define MatPreallocateSetLocalRemoveDups(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
800: do {\
801: PetscInt __l;\
802: _4_ISLocalToGlobalMappingApply(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
803: _4_ISLocalToGlobalMappingApply(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
804: _4_PetscSortRemoveDupsInt(&ncols,cols);CHKERRQ(_4_ierr);\
805: for (__l=0;__l<nrows;__l++) {\
806: _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
807: }\
808: } while (0)
810: /*MC
811: MatPreallocateSetLocalBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
812: inserted using a local number of the rows and columns
814: Synopsis:
815: #include <petscmat.h>
816: PetscErrorCode MatPreallocateSetLocalBlock(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
818: Not Collective
820: Input Parameters:
821: + map - the row mapping from local numbering to global numbering
822: . nrows - the number of rows indicated
823: . rows - the indices of the rows
824: . cmap - the column mapping from local to global numbering
825: . ncols - the number of columns in the matrix
826: . cols - the columns indicated
827: . dnz - the array that will be passed to the matrix preallocation routines
828: - onz - the other array passed to the matrix preallocation routines
830: Level: intermediate
832: Notes:
833: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
835: Do not malloc or free dnz and onz, that is handled internally by these routines
837: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
838: MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock()
839: M*/
840: #define MatPreallocateSetLocalBlock(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
841: do {\
842: PetscInt __l;\
843: _4_ISLocalToGlobalMappingApplyBlock(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
844: _4_ISLocalToGlobalMappingApplyBlock(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
845: for (__l=0;__l<nrows;__l++) {\
846: _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
847: }\
848: } while (0)
850: /*MC
851: MatPreallocateSymmetricSetLocalBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
852: inserted using a local number of the rows and columns
854: Synopsis:
855: #include <petscmat.h>
856: PetscErrorCode MatPreallocateSymmetricSetLocalBlock(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
858: Not Collective
860: Input Parameters:
861: + map - the mapping between local numbering and global numbering
862: . nrows - the number of rows indicated
863: . rows - the indices of the rows
864: . ncols - the number of columns in the matrix
865: . cols - the columns indicated
866: . dnz - the array that will be passed to the matrix preallocation routines
867: - onz - the other array passed to the matrix preallocation routines
869: Level: intermediate
871: Notes:
872: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
874: Do not malloc or free dnz and onz that is handled internally by these routines
876: .seealso: MatPreallocateFinalize(), MatPreallocateSet()
877: MatPreallocateInitialize(), MatPreallocateSetLocal()
878: M*/
879: #define MatPreallocateSymmetricSetLocalBlock(map,nrows,rows,ncols,cols,dnz,onz) 0;\
880: do {\
881: PetscInt __l;\
882: _4_ISLocalToGlobalMappingApplyBlock(map,nrows,rows,rows);CHKERRQ(_4_ierr);\
883: _4_ISLocalToGlobalMappingApplyBlock(map,ncols,cols,cols);CHKERRQ(_4_ierr);\
884: for (__l=0;__l<nrows;__l++) {\
885: _4_MatPreallocateSymmetricSetBlock((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
886: }\
887: } while (0)
889: /*MC
890: MatPreallocateSet - Indicates the locations (rows and columns) in the matrix where nonzeros will be
891: inserted using a local number of the rows and columns
893: Synopsis:
894: #include <petscmat.h>
895: PetscErrorCode MatPreallocateSet(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
897: Not Collective
899: Input Parameters:
900: + row - the row
901: . ncols - the number of columns in the matrix
902: - cols - the columns indicated
904: Output Parameters:
905: + dnz - the array that will be passed to the matrix preallocation routines
906: - onz - the other array passed to the matrix preallocation routines
908: Level: intermediate
910: Notes:
911: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
913: Do not malloc or free dnz and onz that is handled internally by these routines
915: This is a MACRO not a function because it uses variables declared in MatPreallocateInitialize().
917: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
918: MatPreallocateInitialize(), MatPreallocateSetLocal()
919: M*/
920: #define MatPreallocateSet(row,nc,cols,dnz,onz) 0;\
921: do { PetscInt __i; \
922: 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);\
923: 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);\
924: for (__i=0; __i<nc; __i++) {\
925: if ((cols)[__i] < __start || (cols)[__i] >= __end) onz[row - __rstart]++; \
926: else if (dnz[row - __rstart] < __ncols) dnz[row - __rstart]++;\
927: }\
928: } while (0)
930: /*MC
931: MatPreallocateSymmetricSetBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
932: inserted using a local number of the rows and columns
934: Synopsis:
935: #include <petscmat.h>
936: PetscErrorCode MatPreallocateSymmetricSetBlock(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
938: Not Collective
940: Input Parameters:
941: + nrows - the number of rows indicated
942: . rows - the indices of the rows
943: . ncols - the number of columns in the matrix
944: . cols - the columns indicated
945: . dnz - the array that will be passed to the matrix preallocation routines
946: - onz - the other array passed to the matrix preallocation routines
948: Level: intermediate
950: Notes:
951: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
953: Do not malloc or free dnz and onz that is handled internally by these routines
955: This is a MACRO not a function because it uses variables declared in MatPreallocateInitialize().
957: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateInitialize(),
958: MatPreallocateSymmetricSetLocalBlock(), MatPreallocateSetLocal()
959: M*/
960: #define MatPreallocateSymmetricSetBlock(row,nc,cols,dnz,onz) 0;\
961: do { PetscInt __i; \
962: for (__i=0; __i<nc; __i++) {\
963: if (cols[__i] >= __end) onz[row - __rstart]++; \
964: else if (cols[__i] >= row && dnz[row - __rstart] < __ncols) dnz[row - __rstart]++;\
965: }\
966: } while (0)
968: /*MC
969: MatPreallocateLocation - An alternative to MatPreallocateSet() that puts the nonzero locations into the matrix if it exists
971: Synopsis:
972: #include <petscmat.h>
973: PetscErrorCode MatPreallocateLocations(Mat A,PetscInt row,PetscInt ncols,PetscInt *cols,PetscInt *dnz,PetscInt *onz)
975: Not Collective
977: Input Parameters:
978: + A - matrix
979: . row - row where values exist (must be local to this process)
980: . ncols - number of columns
981: . cols - columns with nonzeros
982: . dnz - the array that will be passed to the matrix preallocation routines
983: - onz - the other array passed to the matrix preallocation routines
985: Level: intermediate
987: Notes:
988: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
990: Do not malloc or free dnz and onz that is handled internally by these routines
992: This is a MACRO not a function because it uses a bunch of variables private to the MatPreallocation.... routines.
994: .seealso: MatPreallocateInitialize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
995: MatPreallocateSymmetricSetLocalBlock()
996: M*/
997: #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)
1000: /*MC
1001: MatPreallocateFinalize - Ends the block of code that will count the number of nonzeros per
1002: row in a matrix providing the data that one can use to correctly preallocate the matrix.
1004: Synopsis:
1005: #include <petscmat.h>
1006: PetscErrorCode MatPreallocateFinalize(PetscInt *dnz, PetscInt *onz)
1008: Collective
1010: Input Parameters:
1011: + dnz - the array that was be passed to the matrix preallocation routines
1012: - onz - the other array passed to the matrix preallocation routines
1014: Level: intermediate
1016: Notes:
1017: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
1019: Do not malloc or free dnz and onz that is handled internally by these routines
1021: This is a MACRO not a function because it closes the { started in MatPreallocateInitialize().
1023: .seealso: MatPreallocateInitialize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
1024: MatPreallocateSymmetricSetLocalBlock()
1025: M*/
1026: #define MatPreallocateFinalize(dnz,onz) 0;_4_PetscFree2(dnz,onz);CHKERRQ(_4_ierr);} while(0)
1028: /* Routines unique to particular data structures */
1029: PETSC_EXTERN PetscErrorCode MatShellGetContext(Mat,void *);
1031: PETSC_EXTERN PetscErrorCode MatInodeAdjustForInodes(Mat,IS*,IS*);
1032: PETSC_EXTERN PetscErrorCode MatInodeGetInodeSizes(Mat,PetscInt *,PetscInt *[],PetscInt *);
1034: PETSC_EXTERN PetscErrorCode MatSeqAIJSetColumnIndices(Mat,PetscInt[]);
1035: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetColumnIndices(Mat,PetscInt[]);
1036: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
1037: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
1038: PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
1039: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJFromTriple(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*,PetscInt,PetscBool);
1041: #define MAT_SKIP_ALLOCATION -4
1043: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
1044: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
1045: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocation(Mat,PetscInt,const PetscInt[]);
1047: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1048: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1049: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1050: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocationCSR(Mat,const PetscInt [],const PetscInt [],const PetscScalar []);
1051: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
1052: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocationCSR(Mat,const PetscInt[],const PetscInt[],const PetscScalar[]);
1053: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
1054: PETSC_EXTERN PetscErrorCode MatMPIAdjSetPreallocation(Mat,PetscInt[],PetscInt[],PetscInt[]);
1055: PETSC_EXTERN PetscErrorCode MatMPIAdjToSeq(Mat,Mat*);
1056: PETSC_EXTERN PetscErrorCode MatMPIDenseSetPreallocation(Mat,PetscScalar[]);
1057: PETSC_EXTERN PetscErrorCode MatSeqDenseSetPreallocation(Mat,PetscScalar[]);
1058: PETSC_EXTERN PetscErrorCode MatMPIAIJGetSeqAIJ(Mat,Mat*,Mat*,const PetscInt*[]);
1059: PETSC_EXTERN PetscErrorCode MatMPIBAIJGetSeqBAIJ(Mat,Mat*,Mat*,const PetscInt*[]);
1060: PETSC_EXTERN PetscErrorCode MatMPIAdjCreateNonemptySubcommMat(Mat,Mat*);
1062: PETSC_EXTERN PetscErrorCode MatSeqDenseSetLDA(Mat,PetscInt);
1063: PETSC_EXTERN PetscErrorCode MatDenseGetLDA(Mat,PetscInt*);
1064: PETSC_EXTERN PetscErrorCode MatDenseGetLocalMatrix(Mat,Mat*);
1066: PETSC_EXTERN PetscErrorCode MatBlockMatSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
1068: PETSC_EXTERN PetscErrorCode MatStoreValues(Mat);
1069: PETSC_EXTERN PetscErrorCode MatRetrieveValues(Mat);
1071: PETSC_EXTERN PetscErrorCode MatDAADSetCtx(Mat,void*);
1073: PETSC_EXTERN PetscErrorCode MatFindNonzeroRows(Mat,IS*);
1074: PETSC_EXTERN PetscErrorCode MatFindZeroRows(Mat,IS*);
1075: /*
1076: These routines are not usually accessed directly, rather solving is
1077: done through the KSP and PC interfaces.
1078: */
1080: /*J
1081: MatOrderingType - String with the name of a PETSc matrix ordering
1083: Level: beginner
1085: .seealso: MatGetOrdering()
1086: J*/
1087: typedef const char* MatOrderingType;
1088: #define MATORDERINGNATURAL "natural"
1089: #define MATORDERINGND "nd"
1090: #define MATORDERING1WD "1wd"
1091: #define MATORDERINGRCM "rcm"
1092: #define MATORDERINGQMD "qmd"
1093: #define MATORDERINGROWLENGTH "rowlength"
1094: #define MATORDERINGWBM "wbm"
1095: #define MATORDERINGSPECTRAL "spectral"
1096: #define MATORDERINGAMD "amd" /* only works if UMFPACK is installed with PETSc */
1098: PETSC_EXTERN PetscErrorCode MatGetOrdering(Mat,MatOrderingType,IS*,IS*);
1099: PETSC_EXTERN PetscErrorCode MatGetOrderingList(PetscFunctionList*);
1100: PETSC_EXTERN PetscErrorCode MatOrderingRegister(const char[],PetscErrorCode(*)(Mat,MatOrderingType,IS*,IS*));
1101: PETSC_EXTERN PetscFunctionList MatOrderingList;
1103: PETSC_EXTERN PetscErrorCode MatReorderForNonzeroDiagonal(Mat,PetscReal,IS,IS);
1104: PETSC_EXTERN PetscErrorCode MatCreateLaplacian(Mat,PetscReal,PetscBool,Mat*);
1106: /*S
1107: MatFactorShiftType - Numeric Shift.
1109: Level: beginner
1111: S*/
1112: typedef enum {MAT_SHIFT_NONE,MAT_SHIFT_NONZERO,MAT_SHIFT_POSITIVE_DEFINITE,MAT_SHIFT_INBLOCKS} MatFactorShiftType;
1113: PETSC_EXTERN const char *const MatFactorShiftTypes[];
1114: PETSC_EXTERN const char *const MatFactorShiftTypesDetail[];
1116: /*S
1117: MatFactorError - indicates what type of error in matrix factor
1119: Level: beginner
1121: Developer Notes:
1122: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
1124: .seealso: MatGetFactor()
1125: S*/
1126: typedef enum {MAT_FACTOR_NOERROR,MAT_FACTOR_STRUCT_ZEROPIVOT,MAT_FACTOR_NUMERIC_ZEROPIVOT,MAT_FACTOR_OUTMEMORY,MAT_FACTOR_OTHER} MatFactorError;
1128: PETSC_EXTERN PetscErrorCode MatFactorGetError(Mat,MatFactorError*);
1129: PETSC_EXTERN PetscErrorCode MatFactorClearError(Mat);
1130: PETSC_EXTERN PetscErrorCode MatFactorGetErrorZeroPivot(Mat,PetscReal*,PetscInt*);
1132: /*S
1133: MatFactorInfo - Data passed into the matrix factorization routines, and information about the resulting factorization
1135: In Fortran these are simply double precision arrays of size MAT_FACTORINFO_SIZE, that is use
1136: $ MatFactorInfo info(MAT_FACTORINFO_SIZE)
1138: Notes:
1139: These are not usually directly used by users, instead use PC type of LU, ILU, CHOLESKY or ICC.
1141: You can use MatFactorInfoInitialize() to set default values.
1143: Level: developer
1145: .seealso: MatLUFactorSymbolic(), MatILUFactorSymbolic(), MatCholeskyFactorSymbolic(), MatICCFactorSymbolic(), MatICCFactor(),
1146: MatFactorInfoInitialize()
1148: S*/
1149: typedef struct {
1150: PetscReal diagonal_fill; /* force diagonal to fill in if initially not filled */
1151: PetscReal usedt;
1152: PetscReal dt; /* drop tolerance */
1153: PetscReal dtcol; /* tolerance for pivoting */
1154: PetscReal dtcount; /* maximum nonzeros to be allowed per row */
1155: PetscReal fill; /* expected fill, nonzeros in factored matrix/nonzeros in original matrix */
1156: PetscReal levels; /* ICC/ILU(levels) */
1157: PetscReal pivotinblocks; /* for BAIJ and SBAIJ matrices pivot in factorization on blocks, default 1.0
1158: factorization may be faster if do not pivot */
1159: PetscReal zeropivot; /* pivot is called zero if less than this */
1160: PetscReal shifttype; /* type of shift added to matrix factor to prevent zero pivots */
1161: PetscReal shiftamount; /* how large the shift is */
1162: } MatFactorInfo;
1164: PETSC_EXTERN PetscErrorCode MatFactorInfoInitialize(MatFactorInfo*);
1165: PETSC_EXTERN PetscErrorCode MatCholeskyFactor(Mat,IS,const MatFactorInfo*);
1166: PETSC_EXTERN PetscErrorCode MatCholeskyFactorSymbolic(Mat,Mat,IS,const MatFactorInfo*);
1167: PETSC_EXTERN PetscErrorCode MatCholeskyFactorNumeric(Mat,Mat,const MatFactorInfo*);
1168: PETSC_EXTERN PetscErrorCode MatLUFactor(Mat,IS,IS,const MatFactorInfo*);
1169: PETSC_EXTERN PetscErrorCode MatILUFactor(Mat,IS,IS,const MatFactorInfo*);
1170: PETSC_EXTERN PetscErrorCode MatLUFactorSymbolic(Mat,Mat,IS,IS,const MatFactorInfo*);
1171: PETSC_EXTERN PetscErrorCode MatILUFactorSymbolic(Mat,Mat,IS,IS,const MatFactorInfo*);
1172: PETSC_EXTERN PetscErrorCode MatICCFactorSymbolic(Mat,Mat,IS,const MatFactorInfo*);
1173: PETSC_EXTERN PetscErrorCode MatICCFactor(Mat,IS,const MatFactorInfo*);
1174: PETSC_EXTERN PetscErrorCode MatLUFactorNumeric(Mat,Mat,const MatFactorInfo*);
1175: PETSC_EXTERN PetscErrorCode MatGetInertia(Mat,PetscInt*,PetscInt*,PetscInt*);
1176: PETSC_EXTERN PetscErrorCode MatSolve(Mat,Vec,Vec);
1177: PETSC_EXTERN PetscErrorCode MatForwardSolve(Mat,Vec,Vec);
1178: PETSC_EXTERN PetscErrorCode MatBackwardSolve(Mat,Vec,Vec);
1179: PETSC_EXTERN PetscErrorCode MatSolveAdd(Mat,Vec,Vec,Vec);
1180: PETSC_EXTERN PetscErrorCode MatSolveTranspose(Mat,Vec,Vec);
1181: PETSC_EXTERN PetscErrorCode MatSolveTransposeAdd(Mat,Vec,Vec,Vec);
1182: PETSC_EXTERN PetscErrorCode MatSolves(Mat,Vecs,Vecs);
1183: PETSC_EXTERN PetscErrorCode MatSetUnfactored(Mat);
1185: typedef enum {MAT_FACTOR_SCHUR_UNFACTORED, MAT_FACTOR_SCHUR_FACTORED, MAT_FACTOR_SCHUR_INVERTED} MatFactorSchurStatus;
1186: PETSC_EXTERN PetscErrorCode MatFactorSetSchurIS(Mat,IS);
1187: PETSC_EXTERN PetscErrorCode MatFactorGetSchurComplement(Mat,Mat*,MatFactorSchurStatus*);
1188: PETSC_EXTERN PetscErrorCode MatFactorRestoreSchurComplement(Mat,Mat*,MatFactorSchurStatus);
1189: PETSC_EXTERN PetscErrorCode MatFactorInvertSchurComplement(Mat);
1190: PETSC_EXTERN PetscErrorCode MatFactorCreateSchurComplement(Mat,Mat*,MatFactorSchurStatus*);
1191: PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplement(Mat,Vec,Vec);
1192: PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplementTranspose(Mat,Vec,Vec);
1193: PETSC_EXTERN PetscErrorCode MatFactorFactorizeSchurComplement(Mat);
1195: /*E
1196: MatSORType - What type of (S)SOR to perform
1198: Level: beginner
1200: May be bitwise ORd together
1202: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
1204: MatSORType may be bitwise ORd together, so do not change the numbers
1206: .seealso: MatSOR()
1207: E*/
1208: typedef enum {SOR_FORWARD_SWEEP=1,SOR_BACKWARD_SWEEP=2,SOR_SYMMETRIC_SWEEP=3,
1209: SOR_LOCAL_FORWARD_SWEEP=4,SOR_LOCAL_BACKWARD_SWEEP=8,
1210: SOR_LOCAL_SYMMETRIC_SWEEP=12,SOR_ZERO_INITIAL_GUESS=16,
1211: SOR_EISENSTAT=32,SOR_APPLY_UPPER=64,SOR_APPLY_LOWER=128} MatSORType;
1212: PETSC_EXTERN PetscErrorCode MatSOR(Mat,Vec,PetscReal,MatSORType,PetscReal,PetscInt,PetscInt,Vec);
1214: /*
1215: These routines are for efficiently computing Jacobians via finite differences.
1216: */
1218: /*S
1219: MatColoring - Object for managing the coloring of matrices.
1221: Level: beginner
1223: .seealso: MatFDColoringCreate() ISColoring MatFDColoring
1224: S*/
1225: typedef struct _p_MatColoring* MatColoring;
1226: /*J
1227: MatColoringType - String with the name of a PETSc matrix coloring
1229: Level: beginner
1231: .seealso: MatColoringSetType(), MatColoring
1232: J*/
1234: typedef const char* MatColoringType;
1235: #define MATCOLORINGJP "jp"
1236: #define MATCOLORINGPOWER "power"
1237: #define MATCOLORINGNATURAL "natural"
1238: #define MATCOLORINGSL "sl"
1239: #define MATCOLORINGLF "lf"
1240: #define MATCOLORINGID "id"
1241: #define MATCOLORINGGREEDY "greedy"
1243: /*E
1244: MatColoringWeightType - Type of weight scheme
1246: Not Collective
1248: + MAT_COLORING_RANDOM - Random weights
1249: . MAT_COLORING_LEXICAL - Lexical weighting based upon global numbering.
1250: - MAT_COLORING_LF - Last-first weighting.
1252: Level: intermediate
1254: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
1255: E*/
1256: typedef enum {MAT_COLORING_WEIGHT_RANDOM,MAT_COLORING_WEIGHT_LEXICAL,MAT_COLORING_WEIGHT_LF,MAT_COLORING_WEIGHT_SL} MatColoringWeightType;
1258: PETSC_EXTERN PetscErrorCode MatColoringCreate(Mat,MatColoring*);
1259: PETSC_EXTERN PetscErrorCode MatColoringGetDegrees(Mat,PetscInt,PetscInt*);
1260: PETSC_EXTERN PetscErrorCode MatColoringDestroy(MatColoring*);
1261: PETSC_EXTERN PetscErrorCode MatColoringView(MatColoring,PetscViewer);
1262: PETSC_EXTERN PetscErrorCode MatColoringSetType(MatColoring,MatColoringType);
1263: PETSC_EXTERN PetscErrorCode MatColoringSetFromOptions(MatColoring);
1264: PETSC_EXTERN PetscErrorCode MatColoringSetDistance(MatColoring,PetscInt);
1265: PETSC_EXTERN PetscErrorCode MatColoringGetDistance(MatColoring,PetscInt*);
1266: PETSC_EXTERN PetscErrorCode MatColoringSetMaxColors(MatColoring,PetscInt);
1267: PETSC_EXTERN PetscErrorCode MatColoringGetMaxColors(MatColoring,PetscInt*);
1268: PETSC_EXTERN PetscErrorCode MatColoringApply(MatColoring,ISColoring*);
1269: PETSC_EXTERN PetscErrorCode MatColoringRegister(const char[],PetscErrorCode(*)(MatColoring));
1270: PETSC_EXTERN PetscErrorCode MatColoringPatch(Mat,PetscInt,PetscInt,ISColoringValue[],ISColoring*);
1271: PETSC_EXTERN PetscErrorCode MatColoringSetWeightType(MatColoring,MatColoringWeightType);
1272: PETSC_EXTERN PetscErrorCode MatColoringSetWeights(MatColoring,PetscReal*,PetscInt*);
1273: PETSC_EXTERN PetscErrorCode MatColoringCreateWeights(MatColoring,PetscReal **,PetscInt **lperm);
1274: PETSC_EXTERN PetscErrorCode MatColoringTest(MatColoring,ISColoring);
1275: PETSC_DEPRECATED_FUNCTION("Use MatColoringTest() (since version 3.10)") PETSC_STATIC_INLINE PetscErrorCode MatColoringTestValid(MatColoring matcoloring,ISColoring iscoloring) {return MatColoringTest(matcoloring,iscoloring);}
1276: PETSC_EXTERN PetscErrorCode MatISColoringTest(Mat,ISColoring);
1278: /*S
1279: MatFDColoring - Object for computing a sparse Jacobian via finite differences
1280: and coloring
1282: Level: beginner
1284: .seealso: MatFDColoringCreate()
1285: S*/
1286: typedef struct _p_MatFDColoring* MatFDColoring;
1288: PETSC_EXTERN PetscErrorCode MatFDColoringCreate(Mat,ISColoring,MatFDColoring *);
1289: PETSC_EXTERN PetscErrorCode MatFDColoringDestroy(MatFDColoring*);
1290: PETSC_EXTERN PetscErrorCode MatFDColoringView(MatFDColoring,PetscViewer);
1291: PETSC_EXTERN PetscErrorCode MatFDColoringSetFunction(MatFDColoring,PetscErrorCode (*)(void),void*);
1292: PETSC_EXTERN PetscErrorCode MatFDColoringGetFunction(MatFDColoring,PetscErrorCode (**)(void),void**);
1293: PETSC_EXTERN PetscErrorCode MatFDColoringSetParameters(MatFDColoring,PetscReal,PetscReal);
1294: PETSC_EXTERN PetscErrorCode MatFDColoringSetFromOptions(MatFDColoring);
1295: PETSC_EXTERN PetscErrorCode MatFDColoringApply(Mat,MatFDColoring,Vec,void *);
1296: PETSC_EXTERN PetscErrorCode MatFDColoringSetF(MatFDColoring,Vec);
1297: PETSC_EXTERN PetscErrorCode MatFDColoringGetPerturbedColumns(MatFDColoring,PetscInt*,const PetscInt*[]);
1298: PETSC_EXTERN PetscErrorCode MatFDColoringSetUp(Mat,ISColoring,MatFDColoring);
1299: PETSC_EXTERN PetscErrorCode MatFDColoringSetBlockSize(MatFDColoring,PetscInt,PetscInt);
1300: PETSC_EXTERN PetscErrorCode MatFDColoringSetValues(Mat,MatFDColoring,const PetscScalar*);
1302: /*S
1303: MatTransposeColoring - Object for computing a sparse matrix product C=A*B^T via coloring
1305: Level: beginner
1307: .seealso: MatTransposeColoringCreate()
1308: S*/
1309: typedef struct _p_MatTransposeColoring* MatTransposeColoring;
1311: PETSC_EXTERN PetscErrorCode MatTransposeColoringCreate(Mat,ISColoring,MatTransposeColoring *);
1312: PETSC_EXTERN PetscErrorCode MatTransColoringApplySpToDen(MatTransposeColoring,Mat,Mat);
1313: PETSC_EXTERN PetscErrorCode MatTransColoringApplyDenToSp(MatTransposeColoring,Mat,Mat);
1314: PETSC_EXTERN PetscErrorCode MatTransposeColoringDestroy(MatTransposeColoring*);
1316: /*
1317: These routines are for partitioning matrices: currently used only
1318: for adjacency matrix, MatCreateMPIAdj().
1319: */
1321: /*S
1322: MatPartitioning - Object for managing the partitioning of a matrix or graph
1324: Level: beginner
1326: .seealso: MatPartitioningCreate(), MatPartitioningType
1327: S*/
1328: typedef struct _p_MatPartitioning* MatPartitioning;
1330: /*J
1331: MatPartitioningType - String with the name of a PETSc matrix partitioning
1333: Level: beginner
1334: dm
1335: .seealso: MatPartitioningCreate(), MatPartitioning
1336: J*/
1337: typedef const char* MatPartitioningType;
1338: #define MATPARTITIONINGCURRENT "current"
1339: #define MATPARTITIONINGAVERAGE "average"
1340: #define MATPARTITIONINGSQUARE "square"
1341: #define MATPARTITIONINGPARMETIS "parmetis"
1342: #define MATPARTITIONINGCHACO "chaco"
1343: #define MATPARTITIONINGPARTY "party"
1344: #define MATPARTITIONINGPTSCOTCH "ptscotch"
1345: #define MATPARTITIONINGHIERARCH "hierarch"
1348: PETSC_EXTERN PetscErrorCode MatPartitioningCreate(MPI_Comm,MatPartitioning*);
1349: PETSC_EXTERN PetscErrorCode MatPartitioningSetType(MatPartitioning,MatPartitioningType);
1350: PETSC_EXTERN PetscErrorCode MatPartitioningSetNParts(MatPartitioning,PetscInt);
1351: PETSC_EXTERN PetscErrorCode MatPartitioningSetAdjacency(MatPartitioning,Mat);
1352: PETSC_EXTERN PetscErrorCode MatPartitioningSetVertexWeights(MatPartitioning,const PetscInt[]);
1353: PETSC_EXTERN PetscErrorCode MatPartitioningSetPartitionWeights(MatPartitioning,const PetscReal []);
1354: PETSC_EXTERN PetscErrorCode MatPartitioningApply(MatPartitioning,IS*);
1355: PETSC_EXTERN PetscErrorCode MatPartitioningImprove(MatPartitioning,IS*);
1356: PETSC_EXTERN PetscErrorCode MatPartitioningViewImbalance(MatPartitioning,IS);
1357: PETSC_EXTERN PetscErrorCode MatPartitioningApplyND(MatPartitioning,IS*);
1358: PETSC_EXTERN PetscErrorCode MatPartitioningDestroy(MatPartitioning*);
1360: PETSC_EXTERN PetscErrorCode MatPartitioningRegister(const char[],PetscErrorCode (*)(MatPartitioning));
1364: PETSC_EXTERN PetscErrorCode MatPartitioningView(MatPartitioning,PetscViewer);
1365: PETSC_EXTERN PetscErrorCode MatPartitioningViewFromOptions(MatPartitioning,PetscObject,const char[]);
1367: PETSC_EXTERN PetscErrorCode MatPartitioningSetFromOptions(MatPartitioning);
1368: PETSC_EXTERN PetscErrorCode MatPartitioningGetType(MatPartitioning,MatPartitioningType*);
1370: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetRepartition(MatPartitioning part);
1371: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetCoarseSequential(MatPartitioning);
1372: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisGetEdgeCut(MatPartitioning, PetscInt *);
1374: typedef enum { MP_CHACO_MULTILEVEL=1,MP_CHACO_SPECTRAL=2,MP_CHACO_LINEAR=4,MP_CHACO_RANDOM=5,MP_CHACO_SCATTERED=6 } MPChacoGlobalType;
1375: PETSC_EXTERN const char *const MPChacoGlobalTypes[];
1376: typedef enum { MP_CHACO_KERNIGHAN=1,MP_CHACO_NONE=2 } MPChacoLocalType;
1377: PETSC_EXTERN const char *const MPChacoLocalTypes[];
1378: typedef enum { MP_CHACO_LANCZOS=0,MP_CHACO_RQI=1 } MPChacoEigenType;
1379: PETSC_EXTERN const char *const MPChacoEigenTypes[];
1381: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetGlobal(MatPartitioning,MPChacoGlobalType);
1382: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetGlobal(MatPartitioning,MPChacoGlobalType*);
1383: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetLocal(MatPartitioning,MPChacoLocalType);
1384: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetLocal(MatPartitioning,MPChacoLocalType*);
1385: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetCoarseLevel(MatPartitioning,PetscReal);
1386: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenSolver(MatPartitioning,MPChacoEigenType);
1387: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenSolver(MatPartitioning,MPChacoEigenType*);
1388: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenTol(MatPartitioning,PetscReal);
1389: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenTol(MatPartitioning,PetscReal*);
1390: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenNumber(MatPartitioning,PetscInt);
1391: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenNumber(MatPartitioning,PetscInt*);
1393: #define MP_PARTY_OPT "opt"
1394: #define MP_PARTY_LIN "lin"
1395: #define MP_PARTY_SCA "sca"
1396: #define MP_PARTY_RAN "ran"
1397: #define MP_PARTY_GBF "gbf"
1398: #define MP_PARTY_GCF "gcf"
1399: #define MP_PARTY_BUB "bub"
1400: #define MP_PARTY_DEF "def"
1401: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetGlobal(MatPartitioning,const char*);
1402: #define MP_PARTY_HELPFUL_SETS "hs"
1403: #define MP_PARTY_KERNIGHAN_LIN "kl"
1404: #define MP_PARTY_NONE "no"
1405: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetLocal(MatPartitioning,const char*);
1406: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetCoarseLevel(MatPartitioning,PetscReal);
1407: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetBipart(MatPartitioning,PetscBool);
1408: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetMatchOptimization(MatPartitioning,PetscBool);
1410: typedef enum { MP_PTSCOTCH_DEFAULT,MP_PTSCOTCH_QUALITY,MP_PTSCOTCH_SPEED,MP_PTSCOTCH_BALANCE,MP_PTSCOTCH_SAFETY,MP_PTSCOTCH_SCALABILITY } MPPTScotchStrategyType;
1411: PETSC_EXTERN const char *const MPPTScotchStrategyTypes[];
1413: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetImbalance(MatPartitioning,PetscReal);
1414: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetImbalance(MatPartitioning,PetscReal*);
1415: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetStrategy(MatPartitioning,MPPTScotchStrategyType);
1416: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetStrategy(MatPartitioning,MPPTScotchStrategyType*);
1418: /*
1419: * hierarchical partitioning
1420: */
1421: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetFineparts(MatPartitioning,IS*);
1422: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetCoarseparts(MatPartitioning,IS*);
1423: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNcoarseparts(MatPartitioning,PetscInt);
1424: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNfineparts(MatPartitioning, PetscInt);
1426: PETSC_EXTERN PetscErrorCode MatMeshToVertexGraph(Mat,PetscInt,Mat*);
1427: PETSC_EXTERN PetscErrorCode MatMeshToCellGraph(Mat,PetscInt,Mat*);
1429: /*
1430: If you add entries here you must also add them to petsc/finclude/petscmat.h
1431: */
1432: typedef enum { MATOP_SET_VALUES=0,
1433: MATOP_GET_ROW=1,
1434: MATOP_RESTORE_ROW=2,
1435: MATOP_MULT=3,
1436: MATOP_MULT_ADD=4,
1437: MATOP_MULT_TRANSPOSE=5,
1438: MATOP_MULT_TRANSPOSE_ADD=6,
1439: MATOP_SOLVE=7,
1440: MATOP_SOLVE_ADD=8,
1441: MATOP_SOLVE_TRANSPOSE=9,
1442: MATOP_SOLVE_TRANSPOSE_ADD=10,
1443: MATOP_LUFACTOR=11,
1444: MATOP_CHOLESKYFACTOR=12,
1445: MATOP_SOR=13,
1446: MATOP_TRANSPOSE=14,
1447: MATOP_GETINFO=15,
1448: MATOP_EQUAL=16,
1449: MATOP_GET_DIAGONAL=17,
1450: MATOP_DIAGONAL_SCALE=18,
1451: MATOP_NORM=19,
1452: MATOP_ASSEMBLY_BEGIN=20,
1453: MATOP_ASSEMBLY_END=21,
1454: MATOP_SET_OPTION=22,
1455: MATOP_ZERO_ENTRIES=23,
1456: MATOP_ZERO_ROWS=24,
1457: MATOP_LUFACTOR_SYMBOLIC=25,
1458: MATOP_LUFACTOR_NUMERIC=26,
1459: MATOP_CHOLESKY_FACTOR_SYMBOLIC=27,
1460: MATOP_CHOLESKY_FACTOR_NUMERIC=28,
1461: MATOP_SETUP_PREALLOCATION=29,
1462: MATOP_ILUFACTOR_SYMBOLIC=30,
1463: MATOP_ICCFACTOR_SYMBOLIC=31,
1464: MATOP_GET_DIAGONAL_BLOCK=32,
1465: MATOP_FREE_INTER_STRUCT=33,
1466: MATOP_DUPLICATE=34,
1467: MATOP_FORWARD_SOLVE=35,
1468: MATOP_BACKWARD_SOLVE=36,
1469: MATOP_ILUFACTOR=37,
1470: MATOP_ICCFACTOR=38,
1471: MATOP_AXPY=39,
1472: MATOP_CREATE_SUBMATRICES=40,
1473: MATOP_INCREASE_OVERLAP=41,
1474: MATOP_GET_VALUES=42,
1475: MATOP_COPY=43,
1476: MATOP_GET_ROW_MAX=44,
1477: MATOP_SCALE=45,
1478: MATOP_SHIFT=46,
1479: MATOP_DIAGONAL_SET=47,
1480: MATOP_ZERO_ROWS_COLUMNS=48,
1481: MATOP_SET_RANDOM=49,
1482: MATOP_GET_ROW_IJ=50,
1483: MATOP_RESTORE_ROW_IJ=51,
1484: MATOP_GET_COLUMN_IJ=52,
1485: MATOP_RESTORE_COLUMN_IJ=53,
1486: MATOP_FDCOLORING_CREATE=54,
1487: MATOP_COLORING_PATCH=55,
1488: MATOP_SET_UNFACTORED=56,
1489: MATOP_PERMUTE=57,
1490: MATOP_SET_VALUES_BLOCKED=58,
1491: MATOP_CREATE_SUBMATRIX=59,
1492: MATOP_DESTROY=60,
1493: MATOP_VIEW=61,
1494: MATOP_CONVERT_FROM=62,
1495: MATOP_MATMAT_MULT=63,
1496: MATOP_MATMAT_MULT_SYMBOLIC=64,
1497: MATOP_MATMAT_MULT_NUMERIC=65,
1498: MATOP_SET_LOCAL_TO_GLOBAL_MAP=66,
1499: MATOP_SET_VALUES_LOCAL=67,
1500: MATOP_ZERO_ROWS_LOCAL=68,
1501: MATOP_GET_ROW_MAX_ABS=69,
1502: MATOP_GET_ROW_MIN_ABS=70,
1503: MATOP_CONVERT=71,
1504: MATOP_SET_COLORING=72,
1505: /* MATOP_PLACEHOLDER_73=73, */
1506: MATOP_SET_VALUES_ADIFOR=74,
1507: MATOP_FD_COLORING_APPLY=75,
1508: MATOP_SET_FROM_OPTIONS=76,
1509: MATOP_MULT_CONSTRAINED=77,
1510: MATOP_MULT_TRANSPOSE_CONSTRAIN=78,
1511: MATOP_FIND_ZERO_DIAGONALS=79,
1512: MATOP_MULT_MULTIPLE=80,
1513: MATOP_SOLVE_MULTIPLE=81,
1514: MATOP_GET_INERTIA=82,
1515: MATOP_LOAD=83,
1516: MATOP_IS_SYMMETRIC=84,
1517: MATOP_IS_HERMITIAN=85,
1518: MATOP_IS_STRUCTURALLY_SYMMETRIC=86,
1519: MATOP_SET_VALUES_BLOCKEDLOCAL=87,
1520: MATOP_CREATE_VECS=88,
1521: MATOP_MAT_MULT=89,
1522: MATOP_MAT_MULT_SYMBOLIC=90,
1523: MATOP_MAT_MULT_NUMERIC=91,
1524: MATOP_PTAP=92,
1525: MATOP_PTAP_SYMBOLIC=93,
1526: MATOP_PTAP_NUMERIC=94,
1527: MATOP_MAT_TRANSPOSE_MULT=95,
1528: MATOP_MAT_TRANSPOSE_MULT_SYMBO=96,
1529: MATOP_MAT_TRANSPOSE_MULT_NUMER=97,
1530: /* MATOP_PLACEHOLDER_98=98, */
1531: /* MATOP_PLACEHOLDER_99=99, */
1532: /* MATOP_PLACEHOLDER_100=100, */
1533: /* MATOP_PLACEHOLDER_101=101, */
1534: MATOP_CONJUGATE=102,
1535: /* MATOP_PLACEHOLDER_103=103, */
1536: MATOP_SET_VALUES_ROW=104,
1537: MATOP_REAL_PART=105,
1538: MATOP_IMAGINARY_PART=106,
1539: MATOP_GET_ROW_UPPER_TRIANGULAR=107,
1540: MATOP_RESTORE_ROW_UPPER_TRIANG=108,
1541: MATOP_MAT_SOLVE=109,
1542: MATOP_MAT_SOLVE_TRANSPOSE=110,
1543: MATOP_GET_ROW_MIN=111,
1544: MATOP_GET_COLUMN_VECTOR=112,
1545: MATOP_MISSING_DIAGONAL=113,
1546: MATOP_GET_SEQ_NONZERO_STRUCTUR=114,
1547: MATOP_CREATE=115,
1548: MATOP_GET_GHOSTS=116,
1549: MATOP_GET_LOCAL_SUB_MATRIX=117,
1550: MATOP_RESTORE_LOCALSUB_MATRIX=118,
1551: MATOP_MULT_DIAGONAL_BLOCK=119,
1552: MATOP_HERMITIAN_TRANSPOSE=120,
1553: MATOP_MULT_HERMITIAN_TRANSPOSE=121,
1554: MATOP_MULT_HERMITIAN_TRANS_ADD=122,
1555: MATOP_GET_MULTI_PROC_BLOCK=123,
1556: MATOP_FIND_NONZERO_ROWS=124,
1557: MATOP_GET_COLUMN_NORMS=125,
1558: MATOP_INVERT_BLOCK_DIAGONAL=126,
1559: /* MATOP_PLACEHOLDER_127=127, */
1560: MATOP_CREATE_SUB_MATRICES_MPI=128,
1561: MATOP_SET_VALUES_BATCH=129,
1562: MATOP_TRANSPOSE_MAT_MULT=130,
1563: MATOP_TRANSPOSE_MAT_MULT_SYMBO=131,
1564: MATOP_TRANSPOSE_MAT_MULT_NUMER=132,
1565: MATOP_TRANSPOSE_COLORING_CREAT=133,
1566: MATOP_TRANS_COLORING_APPLY_SPT=134,
1567: MATOP_TRANS_COLORING_APPLY_DEN=135,
1568: MATOP_RART=136,
1569: MATOP_RART_SYMBOLIC=137,
1570: MATOP_RART_NUMERIC=138,
1571: MATOP_SET_BLOCK_SIZES=139,
1572: MATOP_AYPX=140,
1573: MATOP_RESIDUAL=141,
1574: MATOP_FDCOLORING_SETUP=142,
1575: MATOP_MPICONCATENATESEQ=144,
1576: MATOP_DESTROYSUBMATRICES=145
1577: } MatOperation;
1578: PETSC_EXTERN PetscErrorCode MatSetOperation(Mat,MatOperation,void(*)(void));
1579: PETSC_EXTERN PetscErrorCode MatGetOperation(Mat,MatOperation,void(**)(void));
1580: PETSC_EXTERN PetscErrorCode MatHasOperation(Mat,MatOperation,PetscBool *);
1581: PETSC_EXTERN PetscErrorCode MatHasCongruentLayouts(Mat,PetscBool *);
1582: PETSC_EXTERN PetscErrorCode MatFreeIntermediateDataStructures(Mat);
1584: PETSC_EXTERN PetscErrorCode MatShellSetOperation(Mat,MatOperation,void(*)(void));
1585: PETSC_EXTERN PetscErrorCode MatShellGetOperation(Mat,MatOperation,void(**)(void));
1586: PETSC_EXTERN PetscErrorCode MatShellSetContext(Mat,void*);
1587: PETSC_EXTERN PetscErrorCode MatShellSetVecType(Mat,VecType);
1588: PETSC_EXTERN PetscErrorCode MatShellTestMult(Mat,PetscErrorCode (*)(void*,Vec,Vec),Vec,void*,PetscBool*);
1589: PETSC_EXTERN PetscErrorCode MatShellTestMultTranspose(Mat,PetscErrorCode (*)(void*,Vec,Vec),Vec,void*,PetscBool*);
1590: PETSC_EXTERN PetscErrorCode MatShellSetManageScalingShifts(Mat);
1592: /*
1593: Codes for matrices stored on disk. By default they are
1594: stored in a universal format. By changing the format with
1595: PetscViewerPushFormat(viewer,PETSC_VIEWER_NATIVE); the matrices will
1596: be stored in a way natural for the matrix, for example dense matrices
1597: would be stored as dense. Matrices stored this way may only be
1598: read into matrices of the same type.
1599: */
1600: #define MATRIX_BINARY_FORMAT_DENSE -1
1602: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetHashTableFactor(Mat,PetscReal);
1604: PETSC_EXTERN PetscErrorCode MatISSetLocalMatType(Mat,MatType);
1605: PETSC_EXTERN PetscErrorCode MatISSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1606: PETSC_EXTERN PetscErrorCode MatISStoreL2L(Mat,PetscBool);
1607: PETSC_EXTERN PetscErrorCode MatISFixLocalEmpty(Mat,PetscBool);
1608: PETSC_EXTERN PetscErrorCode MatISGetLocalMat(Mat,Mat*);
1609: PETSC_EXTERN PetscErrorCode MatISRestoreLocalMat(Mat,Mat*);
1610: PETSC_EXTERN PetscErrorCode MatISSetLocalMat(Mat,Mat);
1611: PETSC_EXTERN PETSC_DEPRECATED_FUNCTION("Use the MatConvert() interface (since version 3.10)") PetscErrorCode MatISGetMPIXAIJ(Mat,MatReuse,Mat*);
1613: /*S
1614: MatNullSpace - Object that removes a null space from a vector, i.e.
1615: orthogonalizes the vector to a subsapce
1617: Level: advanced
1619: Users manual sections:
1620: . Section 4.19 Solving Singular Systems
1622: .seealso: MatNullSpaceCreate()
1623: S*/
1624: typedef struct _p_MatNullSpace* MatNullSpace;
1626: PETSC_EXTERN PetscErrorCode MatNullSpaceCreate(MPI_Comm,PetscBool ,PetscInt,const Vec[],MatNullSpace*);
1627: PETSC_EXTERN PetscErrorCode MatNullSpaceSetFunction(MatNullSpace,PetscErrorCode (*)(MatNullSpace,Vec,void*),void*);
1628: PETSC_EXTERN PetscErrorCode MatNullSpaceDestroy(MatNullSpace*);
1629: PETSC_EXTERN PetscErrorCode MatNullSpaceRemove(MatNullSpace,Vec);
1630: PETSC_EXTERN PetscErrorCode MatGetNullSpace(Mat, MatNullSpace *);
1631: PETSC_EXTERN PetscErrorCode MatGetTransposeNullSpace(Mat, MatNullSpace *);
1632: PETSC_EXTERN PetscErrorCode MatSetTransposeNullSpace(Mat,MatNullSpace);
1633: PETSC_EXTERN PetscErrorCode MatSetNullSpace(Mat,MatNullSpace);
1634: PETSC_EXTERN PetscErrorCode MatSetNearNullSpace(Mat,MatNullSpace);
1635: PETSC_EXTERN PetscErrorCode MatGetNearNullSpace(Mat,MatNullSpace*);
1636: PETSC_EXTERN PetscErrorCode MatNullSpaceTest(MatNullSpace,Mat,PetscBool *);
1637: PETSC_EXTERN PetscErrorCode MatNullSpaceView(MatNullSpace,PetscViewer);
1638: PETSC_EXTERN PetscErrorCode MatNullSpaceGetVecs(MatNullSpace,PetscBool*,PetscInt*,const Vec**);
1639: PETSC_EXTERN PetscErrorCode MatNullSpaceCreateRigidBody(Vec,MatNullSpace*);
1641: PETSC_EXTERN PetscErrorCode MatReorderingSeqSBAIJ(Mat,IS);
1642: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetHashTableFactor(Mat,PetscReal);
1643: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetColumnIndices(Mat,PetscInt *);
1644: PETSC_EXTERN PetscErrorCode MatSeqBAIJInvertBlockDiagonal(Mat);
1646: PETSC_EXTERN PetscErrorCode MatCreateMAIJ(Mat,PetscInt,Mat*);
1647: PETSC_EXTERN PetscErrorCode MatMAIJRedimension(Mat,PetscInt,Mat*);
1648: PETSC_EXTERN PetscErrorCode MatMAIJGetAIJ(Mat,Mat*);
1650: PETSC_EXTERN PetscErrorCode MatComputeOperator(Mat,MatType,Mat*);
1651: PETSC_EXTERN PetscErrorCode MatComputeOperatorTranspose(Mat,MatType,Mat*);
1653: PETSC_DEPRECATED_FUNCTION("Use MatComputeOperator() (since version 3.12)") PETSC_STATIC_INLINE PetscErrorCode MatComputeExplicitOperator(Mat A,Mat* B) { return MatComputeOperator(A,NULL,B); }
1654: PETSC_DEPRECATED_FUNCTION("Use MatComputeOperatorTranspose() (since version 3.12)") PETSC_STATIC_INLINE PetscErrorCode MatComputeExplicitOperatorTranspose(Mat A,Mat* B) { return MatComputeOperatorTranspose(A,NULL,B); }
1656: PETSC_EXTERN PetscErrorCode MatCreateKAIJ(Mat,PetscInt,PetscInt,const PetscScalar[],const PetscScalar[],Mat*);
1657: PETSC_EXTERN PetscErrorCode MatKAIJGetAIJ(Mat,Mat*);
1658: PETSC_EXTERN PetscErrorCode MatKAIJGetS(Mat,PetscInt*,PetscInt*,PetscScalar**);
1659: PETSC_EXTERN PetscErrorCode MatKAIJGetSRead(Mat,PetscInt*,PetscInt*,const PetscScalar**);
1660: PETSC_EXTERN PetscErrorCode MatKAIJRestoreS(Mat,PetscScalar**);
1661: PETSC_EXTERN PetscErrorCode MatKAIJRestoreSRead(Mat,const PetscScalar**);
1662: PETSC_EXTERN PetscErrorCode MatKAIJGetT(Mat,PetscInt*,PetscInt*,PetscScalar**);
1663: PETSC_EXTERN PetscErrorCode MatKAIJGetTRead(Mat,PetscInt*,PetscInt*,const PetscScalar**);
1664: PETSC_EXTERN PetscErrorCode MatKAIJRestoreT(Mat,PetscScalar**);
1665: PETSC_EXTERN PetscErrorCode MatKAIJRestoreTRead(Mat,const PetscScalar**);
1666: PETSC_EXTERN PetscErrorCode MatKAIJSetAIJ(Mat,Mat);
1667: PETSC_EXTERN PetscErrorCode MatKAIJSetS(Mat,PetscInt,PetscInt,const PetscScalar []);
1668: PETSC_EXTERN PetscErrorCode MatKAIJSetT(Mat,PetscInt,PetscInt,const PetscScalar []);
1670: PETSC_EXTERN PetscErrorCode MatDiagonalScaleLocal(Mat,Vec);
1672: PETSC_EXTERN PetscErrorCode MatCreateMFFD(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,Mat*);
1673: PETSC_EXTERN PetscErrorCode MatMFFDSetBase(Mat,Vec,Vec);
1674: PETSC_EXTERN PetscErrorCode MatMFFDSetFunction(Mat,PetscErrorCode(*)(void*,Vec,Vec),void*);
1675: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioni(Mat,PetscErrorCode (*)(void*,PetscInt,Vec,PetscScalar*));
1676: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioniBase(Mat,PetscErrorCode (*)(void*,Vec));
1677: PETSC_EXTERN PetscErrorCode MatMFFDSetHHistory(Mat,PetscScalar[],PetscInt);
1678: PETSC_EXTERN PetscErrorCode MatMFFDResetHHistory(Mat);
1679: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctionError(Mat,PetscReal);
1680: PETSC_EXTERN PetscErrorCode MatMFFDSetPeriod(Mat,PetscInt);
1681: PETSC_EXTERN PetscErrorCode MatMFFDGetH(Mat,PetscScalar *);
1682: PETSC_EXTERN PetscErrorCode MatMFFDSetOptionsPrefix(Mat,const char[]);
1683: PETSC_EXTERN PetscErrorCode MatMFFDCheckPositivity(void*,Vec,Vec,PetscScalar*);
1684: PETSC_EXTERN PetscErrorCode MatMFFDSetCheckh(Mat,PetscErrorCode (*)(void*,Vec,Vec,PetscScalar*),void*);
1686: /*S
1687: MatMFFD - A data structured used to manage the computation of the h differencing parameter for matrix-free
1688: Jacobian vector products
1690: Notes:
1691: MATMFFD is a specific MatType which uses the MatMFFD data structure
1693: MatMFFD*() methods actually take the Mat as their first argument. Not a MatMFFD data structure
1695: Level: developer
1697: .seealso: MATMFFD, MatCreateMFFD(), MatMFFDSetFuction(), MatMFFDSetType(), MatMFFDRegister()
1698: S*/
1699: typedef struct _p_MatMFFD* MatMFFD;
1701: /*J
1702: MatMFFDType - algorithm used to compute the h used in computing matrix-vector products via differencing of the function
1704: Level: beginner
1706: .seealso: MatMFFDSetType(), MatMFFDRegister()
1707: J*/
1708: typedef const char* MatMFFDType;
1709: #define MATMFFD_DS "ds"
1710: #define MATMFFD_WP "wp"
1712: PETSC_EXTERN PetscErrorCode MatMFFDSetType(Mat,MatMFFDType);
1713: PETSC_EXTERN PetscErrorCode MatMFFDRegister(const char[],PetscErrorCode (*)(MatMFFD));
1715: PETSC_EXTERN PetscErrorCode MatMFFDDSSetUmin(Mat,PetscReal);
1716: PETSC_EXTERN PetscErrorCode MatMFFDWPSetComputeNormU(Mat,PetscBool );
1718: PETSC_EXTERN PetscErrorCode MatFDColoringSetType(MatFDColoring,MatMFFDType);
1720: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutMatrix(PetscViewer, PetscInt, PetscInt, PetscReal *);
1721: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutCSRMatrix(PetscViewer, PetscInt, PetscInt, PetscInt *, PetscInt *, PetscReal *);
1723: /*
1724: PETSc interface to MUMPS
1725: */
1726: #ifdef PETSC_HAVE_MUMPS
1727: PETSC_EXTERN PetscErrorCode MatMumpsSetIcntl(Mat,PetscInt,PetscInt);
1728: PETSC_EXTERN PetscErrorCode MatMumpsGetIcntl(Mat,PetscInt,PetscInt*);
1729: PETSC_EXTERN PetscErrorCode MatMumpsSetCntl(Mat,PetscInt,PetscReal);
1730: PETSC_EXTERN PetscErrorCode MatMumpsGetCntl(Mat,PetscInt,PetscReal*);
1732: PETSC_EXTERN PetscErrorCode MatMumpsGetInfo(Mat,PetscInt,PetscInt*);
1733: PETSC_EXTERN PetscErrorCode MatMumpsGetInfog(Mat,PetscInt,PetscInt*);
1734: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfo(Mat,PetscInt,PetscReal*);
1735: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfog(Mat,PetscInt,PetscReal*);
1736: PETSC_EXTERN PetscErrorCode MatMumpsGetInverse(Mat,Mat);
1737: PETSC_EXTERN PetscErrorCode MatMumpsGetInverseTranspose(Mat,Mat);
1738: #endif
1740: /*
1741: PETSc interface to Mkl_Pardiso
1742: */
1743: #ifdef PETSC_HAVE_MKL_PARDISO
1744: PETSC_EXTERN PetscErrorCode MatMkl_PardisoSetCntl(Mat,PetscInt,PetscInt);
1745: #endif
1747: /*
1748: PETSc interface to Mkl_CPardiso
1749: */
1750: #ifdef PETSC_HAVE_MKL_CPARDISO
1751: PETSC_EXTERN PetscErrorCode MatMkl_CPardisoSetCntl(Mat,PetscInt,PetscInt);
1752: #endif
1754: /*
1755: PETSc interface to SUPERLU
1756: */
1757: #ifdef PETSC_HAVE_SUPERLU
1758: PETSC_EXTERN PetscErrorCode MatSuperluSetILUDropTol(Mat,PetscReal);
1759: #endif
1761: /*
1762: PETSc interface to SUPERLU_DIST
1763: */
1764: #ifdef PETSC_HAVE_SUPERLU_DIST
1765: PETSC_EXTERN PetscErrorCode MatSuperluDistGetDiagU(Mat,PetscScalar*);
1766: #endif
1768: /*
1769: PETSc interface to STRUMPACK
1770: */
1771: #ifdef PETSC_HAVE_STRUMPACK
1772: /*E
1773: MatSTRUMPACKReordering - sparsity reducing ordering to be used in STRUMPACK
1775: Level: intermediate
1776: E*/
1777: typedef enum {MAT_STRUMPACK_NATURAL=0,
1778: MAT_STRUMPACK_METIS=1,
1779: MAT_STRUMPACK_PARMETIS=2,
1780: MAT_STRUMPACK_SCOTCH=3,
1781: MAT_STRUMPACK_PTSCOTCH=4,
1782: MAT_STRUMPACK_RCM=5} MatSTRUMPACKReordering;
1783: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetReordering(Mat,MatSTRUMPACKReordering);
1784: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetColPerm(Mat,PetscBool);
1785: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSRelTol(Mat,PetscReal);
1786: PETSC_DEPRECATED_FUNCTION("Use MatSTRUMPACKSetHSSRelTol() (since version 3.9)") PETSC_STATIC_INLINE PetscErrorCode MatSTRUMPACKSetHSSRelCompTol(Mat mat,PetscReal rtol) {return MatSTRUMPACKSetHSSRelTol(mat,rtol);}
1787: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSAbsTol(Mat,PetscReal);
1788: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSMinSepSize(Mat,PetscInt);
1789: PETSC_DEPRECATED_FUNCTION("Use MatSTRUMPACKSetHSSMinSepSize() (since version 3.9)") PETSC_STATIC_INLINE PetscErrorCode MatSTRUMPACKSetHSSMinSize(Mat mat,PetscInt hssminsize) {return MatSTRUMPACKSetHSSMinSepSize(mat,hssminsize);}
1790: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSMaxRank(Mat,PetscInt);
1791: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSLeafSize(Mat,PetscInt);
1792: #endif
1795: PETSC_EXTERN PetscErrorCode MatPinToCPU(Mat,PetscBool);
1797: #ifdef PETSC_HAVE_CUDA
1798: /*E
1799: MatCUSPARSEStorageFormat - indicates the storage format for CUSPARSE (GPU)
1800: matrices.
1802: Not Collective
1804: + MAT_CUSPARSE_CSR - Compressed Sparse Row
1805: . MAT_CUSPARSE_ELL - Ellpack (requires CUDA 4.2 or later).
1806: - MAT_CUSPARSE_HYB - Hybrid, a combination of Ellpack and Coordinate format (requires CUDA 4.2 or later).
1808: Level: intermediate
1810: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
1812: .seealso: MatCUSPARSESetFormat(), MatCUSPARSEFormatOperation
1813: E*/
1815: typedef enum {MAT_CUSPARSE_CSR, MAT_CUSPARSE_ELL, MAT_CUSPARSE_HYB} MatCUSPARSEStorageFormat;
1817: /* these will be strings associated with enumerated type defined above */
1818: PETSC_EXTERN const char *const MatCUSPARSEStorageFormats[];
1820: /*E
1821: MatCUSPARSEFormatOperation - indicates the operation of CUSPARSE (GPU)
1822: matrices whose operation should use a particular storage format.
1824: Not Collective
1826: + MAT_CUSPARSE_MULT_DIAG - sets the storage format for the diagonal matrix in the parallel MatMult
1827: . MAT_CUSPARSE_MULT_OFFDIAG - sets the storage format for the offdiagonal matrix in the parallel MatMult
1828: . MAT_CUSPARSE_MULT - sets the storage format for the entire matrix in the serial (single GPU) MatMult
1829: - MAT_CUSPARSE_ALL - sets the storage format for all CUSPARSE (GPU) matrices
1831: Level: intermediate
1833: .seealso: MatCUSPARSESetFormat(), MatCUSPARSEStorageFormat
1834: E*/
1835: typedef enum {MAT_CUSPARSE_MULT_DIAG, MAT_CUSPARSE_MULT_OFFDIAG, MAT_CUSPARSE_MULT, MAT_CUSPARSE_ALL} MatCUSPARSEFormatOperation;
1837: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCUSPARSE(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
1838: PETSC_EXTERN PetscErrorCode MatCreateAIJCUSPARSE(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
1839: PETSC_EXTERN PetscErrorCode MatCUSPARSESetFormat(Mat,MatCUSPARSEFormatOperation,MatCUSPARSEStorageFormat);
1840: #endif
1842: #if defined(PETSC_HAVE_VIENNACL)
1843: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJViennaCL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
1844: PETSC_EXTERN PetscErrorCode MatCreateAIJViennaCL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
1845: #endif
1847: /*
1848: PETSc interface to FFTW
1849: */
1850: #if defined(PETSC_HAVE_FFTW)
1851: PETSC_EXTERN PetscErrorCode VecScatterPetscToFFTW(Mat,Vec,Vec);
1852: PETSC_EXTERN PetscErrorCode VecScatterFFTWToPetsc(Mat,Vec,Vec);
1853: PETSC_EXTERN PetscErrorCode MatCreateVecsFFTW(Mat,Vec*,Vec*,Vec*);
1854: #endif
1856: PETSC_EXTERN PetscErrorCode MatCreateNest(MPI_Comm,PetscInt,const IS[],PetscInt,const IS[],const Mat[],Mat*);
1857: PETSC_EXTERN PetscErrorCode MatNestGetSize(Mat,PetscInt*,PetscInt*);
1858: PETSC_EXTERN PetscErrorCode MatNestGetISs(Mat,IS[],IS[]);
1859: PETSC_EXTERN PetscErrorCode MatNestGetLocalISs(Mat,IS[],IS[]);
1860: PETSC_EXTERN PetscErrorCode MatNestGetSubMats(Mat,PetscInt*,PetscInt*,Mat***);
1861: PETSC_EXTERN PetscErrorCode MatNestGetSubMat(Mat,PetscInt,PetscInt,Mat*);
1862: PETSC_EXTERN PetscErrorCode MatNestSetVecType(Mat,VecType);
1863: PETSC_EXTERN PetscErrorCode MatNestSetSubMats(Mat,PetscInt,const IS[],PetscInt,const IS[],const Mat[]);
1864: PETSC_EXTERN PetscErrorCode MatNestSetSubMat(Mat,PetscInt,PetscInt,Mat);
1866: PETSC_EXTERN PetscErrorCode MatChop(Mat,PetscReal);
1867: PETSC_EXTERN PetscErrorCode MatComputeBandwidth(Mat,PetscReal,PetscInt*);
1869: PETSC_EXTERN PetscErrorCode MatSubdomainsCreateCoalesce(Mat,PetscInt,PetscInt*,IS**);
1871: PETSC_EXTERN PetscErrorCode MatPreallocatorPreallocate(Mat,PetscBool,Mat);
1873: PETSC_INTERN PetscErrorCode MatHeaderMerge(Mat,Mat*);
1874: PETSC_EXTERN PetscErrorCode MatHeaderReplace(Mat,Mat*);
1876: #endif