Actual source code: petscmat.h
petsc-master 2020-08-25
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 MATDENSECUDA "densecuda"
61: #define MATSEQDENSE "seqdense"
62: #define MATSEQDENSECUDA "seqdensecuda"
63: #define MATMPIDENSE "mpidense"
64: #define MATMPIDENSECUDA "mpidensecuda"
65: #define MATELEMENTAL "elemental"
66: #define MATSCALAPACK "scalapack"
67: #define MATBAIJ "baij"
68: #define MATSEQBAIJ "seqbaij"
69: #define MATMPIBAIJ "mpibaij"
70: #define MATMPIADJ "mpiadj"
71: #define MATSBAIJ "sbaij"
72: #define MATSEQSBAIJ "seqsbaij"
73: #define MATMPISBAIJ "mpisbaij"
74: #define MATDAAD "daad"
75: #define MATMFFD "mffd"
76: #define MATNORMAL "normal"
77: #define MATNORMALHERMITIAN "normalh"
78: #define MATLRC "lrc"
79: #define MATSCATTER "scatter"
80: #define MATBLOCKMAT "blockmat"
81: #define MATCOMPOSITE "composite"
82: #define MATFFT "fft"
83: #define MATFFTW "fftw"
84: #define MATSEQCUFFT "seqcufft"
85: #define MATTRANSPOSEMAT "transpose"
86: #define MATSCHURCOMPLEMENT "schurcomplement"
87: #define MATPYTHON "python"
88: #define MATHYPRE "hypre"
89: #define MATHYPRESTRUCT "hyprestruct"
90: #define MATHYPRESSTRUCT "hypresstruct"
91: #define MATSUBMATRIX "submatrix"
92: #define MATLOCALREF "localref"
93: #define MATNEST "nest"
94: #define MATPREALLOCATOR "preallocator"
95: #define MATSELL "sell"
96: #define MATSEQSELL "seqsell"
97: #define MATMPISELL "mpisell"
98: #define MATDUMMY "dummy"
99: #define MATLMVM "lmvm"
100: #define MATLMVMDFP "lmvmdfp"
101: #define MATLMVMBFGS "lmvmbfgs"
102: #define MATLMVMSR1 "lmvmsr1"
103: #define MATLMVMBROYDEN "lmvmbroyden"
104: #define MATLMVMBADBROYDEN "lmvmbadbroyden"
105: #define MATLMVMSYMBROYDEN "lmvmsymbroyden"
106: #define MATLMVMSYMBADBROYDEN "lmvmsymbadbroyden"
107: #define MATLMVMDIAGBROYDEN "lmvmdiagbroyden"
108: #define MATCONSTANTDIAGONAL "constantdiagonal"
109: #define MATHARA "hara"
111: /*J
112: MatSolverType - String with the name of a PETSc matrix solver type.
114: For example: "petsc" indicates what PETSc provides, "superlu_dist" the parallel SuperLU_DIST package etc
116: Level: beginner
118: Notes: MATSOLVERUMFPACK, MATSOLVERCHOLMOD, MATSOLVERKLU form the SuiteSparse package for which you can use --download-suitesparse
120: .seealso: MatGetFactor(), PCFactorSetMatSolverType(), PCFactorGetMatSolverType()
121: J*/
122: typedef const char* MatSolverType;
123: #define MATSOLVERSUPERLU "superlu"
124: #define MATSOLVERSUPERLU_DIST "superlu_dist"
125: #define MATSOLVERSTRUMPACK "strumpack"
126: #define MATSOLVERUMFPACK "umfpack"
127: #define MATSOLVERCHOLMOD "cholmod"
128: #define MATSOLVERKLU "klu"
129: #define MATSOLVERSPARSEELEMENTAL "sparseelemental"
130: #define MATSOLVERELEMENTAL "elemental"
131: #define MATSOLVERSCALAPACK "scalapack"
132: #define MATSOLVERESSL "essl"
133: #define MATSOLVERLUSOL "lusol"
134: #define MATSOLVERMUMPS "mumps"
135: #define MATSOLVERMKL_PARDISO "mkl_pardiso"
136: #define MATSOLVERMKL_CPARDISO "mkl_cpardiso"
137: #define MATSOLVERPASTIX "pastix"
138: #define MATSOLVERMATLAB "matlab"
139: #define MATSOLVERPETSC "petsc"
140: #define MATSOLVERBAS "bas"
141: #define MATSOLVERCUSPARSE "cusparse"
142: #define MATSOLVERCUDA "cuda"
144: /*E
145: MatFactorType - indicates what type of factorization is requested
147: Level: beginner
149: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
151: .seealso: MatSolverType, MatGetFactor()
152: E*/
153: typedef enum {MAT_FACTOR_NONE, MAT_FACTOR_LU, MAT_FACTOR_CHOLESKY, MAT_FACTOR_ILU, MAT_FACTOR_ICC,MAT_FACTOR_ILUDT} MatFactorType;
154: PETSC_EXTERN const char *const MatFactorTypes[];
156: PETSC_EXTERN PetscErrorCode MatGetFactor(Mat,MatSolverType,MatFactorType,Mat*);
157: PETSC_EXTERN PetscErrorCode MatGetFactorAvailable(Mat,MatSolverType,MatFactorType,PetscBool *);
158: PETSC_EXTERN PetscErrorCode MatFactorGetUseOrdering(Mat, PetscBool*);
159: PETSC_EXTERN PetscErrorCode MatFactorGetSolverType(Mat,MatSolverType*);
160: PETSC_EXTERN PetscErrorCode MatGetFactorType(Mat,MatFactorType*);
161: PETSC_EXTERN PetscErrorCode MatSetFactorType(Mat,MatFactorType);
162: PETSC_EXTERN_TYPEDEF typedef PetscErrorCode (*MatSolverFunction)(Mat,MatFactorType,Mat*);
163: PETSC_EXTERN PetscErrorCode MatSolverTypeRegister(MatSolverType,MatType,MatFactorType,MatSolverFunction);
164: PETSC_EXTERN PetscErrorCode MatSolverTypeGet(MatSolverType,MatType,MatFactorType,PetscBool*,PetscBool*,MatSolverFunction*);
165: typedef MatSolverType MatSolverPackage PETSC_DEPRECATED_TYPEDEF("Use MatSolverType (since version 3.9)");
166: PETSC_DEPRECATED_FUNCTION("Use MatSolverTypeRegister() (since version 3.9)") PETSC_STATIC_INLINE PetscErrorCode MatSolverPackageRegister(MatSolverType stype,MatType mtype,MatFactorType ftype,MatSolverFunction f)
167: { return MatSolverTypeRegister(stype,mtype,ftype,f); }
168: PETSC_DEPRECATED_FUNCTION("Use MatSolverTypeGet() (since version 3.9)") PETSC_STATIC_INLINE PetscErrorCode MatSolverPackageGet(MatSolverType stype,MatType mtype,MatFactorType ftype,PetscBool *foundmtype,PetscBool *foundstype,MatSolverFunction *f)
169: { return MatSolverTypeGet(stype,mtype,ftype,foundmtype,foundstype,f); }
171: /*E
172: MatProductType - indicates what type of matrix product is requested
174: Level: beginner
176: .seealso: MatSolverType, MatProductSetType()
177: E*/
178: typedef enum {MATPRODUCT_UNSPECIFIED=0,MATPRODUCT_AB,MATPRODUCT_AtB,MATPRODUCT_ABt,MATPRODUCT_PtAP,MATPRODUCT_RARt,MATPRODUCT_ABC} MatProductType;
179: PETSC_EXTERN const char *const MatProductTypes[];
181: /*J
182: MatProductAlgorithm - String with the name of an algorithm for a PETSc matrix product implementation
184: Level: beginner
186: .seealso: MatSetType(), Mat, MatSolverType, MatRegister(), MatProductSetAlgorithm(), MatProductType
187: J*/
188: typedef const char* MatProductAlgorithm;
189: #define MATPRODUCTALGORITHM_DEFAULT "default"
191: PETSC_EXTERN PetscErrorCode MatProductCreate(Mat,Mat,Mat,Mat*);
192: PETSC_EXTERN PetscErrorCode MatProductCreateWithMat(Mat,Mat,Mat,Mat);
193: PETSC_EXTERN PetscErrorCode MatProductSetType(Mat,MatProductType);
194: PETSC_EXTERN PetscErrorCode MatProductSetAlgorithm(Mat,MatProductAlgorithm);
195: PETSC_EXTERN PetscErrorCode MatProductSetFill(Mat,PetscReal);
196: PETSC_EXTERN PetscErrorCode MatProductSetFromOptions(Mat);
197: PETSC_EXTERN PetscErrorCode MatProductSymbolic(Mat);
198: PETSC_EXTERN PetscErrorCode MatProductNumeric(Mat);
199: PETSC_EXTERN PetscErrorCode MatProductReplaceMats(Mat,Mat,Mat,Mat);
200: PETSC_EXTERN PetscErrorCode MatProductClear(Mat);
201: PETSC_EXTERN PetscErrorCode MatProductView(Mat,PetscViewer);
203: /* Logging support */
204: #define MAT_FILE_CLASSID 1211216 /* used to indicate matrices in binary files */
205: PETSC_EXTERN PetscClassId MAT_CLASSID;
206: PETSC_EXTERN PetscClassId MAT_COLORING_CLASSID;
207: PETSC_EXTERN PetscClassId MAT_FDCOLORING_CLASSID;
208: PETSC_EXTERN PetscClassId MAT_TRANSPOSECOLORING_CLASSID;
209: PETSC_EXTERN PetscClassId MAT_PARTITIONING_CLASSID;
210: PETSC_EXTERN PetscClassId MAT_COARSEN_CLASSID;
211: PETSC_EXTERN PetscClassId MAT_NULLSPACE_CLASSID;
212: PETSC_EXTERN PetscClassId MATMFFD_CLASSID;
214: /*E
215: MatReuse - Indicates if matrices obtained from a previous call to MatCreateSubMatrices(), MatCreateSubMatrix(), MatConvert() or several other functions
216: are to be reused to store the new matrix values.
218: $ MAT_INITIAL_MATRIX - create a new matrix
219: $ MAT_REUSE_MATRIX - reuse the matrix created with a previous call that used MAT_INITIAL_MATRIX
220: $ MAT_INPLACE_MATRIX - replace the first input matrix with the new matrix (not applicable to all functions)
221: $ MAT_IGNORE_MATRIX - do not create a new matrix or reuse a give matrix, just ignore that matrix argument (not applicable to all functions)
223: Level: beginner
225: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
227: .seealso: MatCreateSubMatrices(), MatCreateSubMatrix(), MatDestroyMatrices(), MatConvert()
228: E*/
229: typedef enum {MAT_INITIAL_MATRIX,MAT_REUSE_MATRIX,MAT_IGNORE_MATRIX,MAT_INPLACE_MATRIX} MatReuse;
231: /*E
232: MatCreateSubMatrixOption - Indicates if matrices obtained from a call to MatCreateSubMatrices()
233: include the matrix values. Currently it is only used by MatGetSeqNonzerostructure().
235: Level: beginner
237: .seealso: MatGetSeqNonzerostructure()
238: E*/
239: typedef enum {MAT_DO_NOT_GET_VALUES,MAT_GET_VALUES} MatCreateSubMatrixOption;
241: PETSC_EXTERN PetscErrorCode MatInitializePackage(void);
243: PETSC_EXTERN PetscErrorCode MatCreate(MPI_Comm,Mat*);
244: PETSC_EXTERN PetscErrorCode MatSetSizes(Mat,PetscInt,PetscInt,PetscInt,PetscInt);
245: PETSC_EXTERN PetscErrorCode MatSetType(Mat,MatType);
246: PETSC_EXTERN PetscErrorCode MatGetVecType(Mat,VecType*);
247: PETSC_EXTERN PetscErrorCode MatSetVecType(Mat,VecType);
248: PETSC_EXTERN PetscErrorCode MatSetFromOptions(Mat);
249: PETSC_EXTERN PetscErrorCode MatViewFromOptions(Mat,PetscObject,const char[]);
250: PETSC_EXTERN PetscErrorCode MatRegister(const char[],PetscErrorCode(*)(Mat));
251: PETSC_EXTERN PetscErrorCode MatRegisterRootName(const char[],const char[],const char[]);
252: PETSC_EXTERN PetscErrorCode MatSetOptionsPrefix(Mat,const char[]);
253: PETSC_EXTERN PetscErrorCode MatAppendOptionsPrefix(Mat,const char[]);
254: PETSC_EXTERN PetscErrorCode MatGetOptionsPrefix(Mat,const char*[]);
255: PETSC_EXTERN PetscErrorCode MatSetErrorIfFailure(Mat,PetscBool);
257: PETSC_EXTERN PetscFunctionList MatList;
258: PETSC_EXTERN PetscFunctionList MatColoringList;
259: PETSC_EXTERN PetscFunctionList MatPartitioningList;
261: /*E
262: MatStructure - Indicates if two matrices have the same nonzero structure
264: Level: beginner
266: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
268: .seealso: MatCopy(), MatAXPY()
269: E*/
270: typedef enum {DIFFERENT_NONZERO_PATTERN,SUBSET_NONZERO_PATTERN,SAME_NONZERO_PATTERN} MatStructure;
272: #if defined PETSC_HAVE_MKL_SPARSE
273: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
274: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
275: PETSC_EXTERN PetscErrorCode MatCreateBAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
276: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
277: #endif
279: PETSC_EXTERN PetscErrorCode MatCreateSeqSELL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
280: PETSC_EXTERN PetscErrorCode MatCreateSELL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
281: PETSC_EXTERN PetscErrorCode MatSeqSELLSetPreallocation(Mat,PetscInt,const PetscInt[]);
282: PETSC_EXTERN PetscErrorCode MatMPISELLSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
284: PETSC_EXTERN PetscErrorCode MatCreateSeqDense(MPI_Comm,PetscInt,PetscInt,PetscScalar[],Mat*);
285: PETSC_EXTERN PetscErrorCode MatCreateDense(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscScalar[],Mat*);
286: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
287: PETSC_EXTERN PetscErrorCode MatCreateAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
288: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat *);
289: PETSC_EXTERN PetscErrorCode MatUpdateMPIAIJWithArrays(Mat,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
290: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSplitArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],PetscInt[],PetscInt[],PetscScalar[],Mat*);
291: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSeqAIJ(MPI_Comm,Mat,Mat,const PetscInt[],Mat*);
293: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
294: PETSC_EXTERN PetscErrorCode MatCreateBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
295: PETSC_EXTERN PetscErrorCode MatCreateMPIBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat*);
297: PETSC_EXTERN PetscErrorCode MatCreateMPIAdj(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscInt[],Mat*);
298: PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
300: PETSC_EXTERN PetscErrorCode MatCreateSBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
301: PETSC_EXTERN PetscErrorCode MatCreateMPISBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat *);
302: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
303: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
304: PETSC_EXTERN PetscErrorCode MatXAIJSetPreallocation(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscInt[],const PetscInt[]);
306: PETSC_EXTERN PetscErrorCode MatCreateShell(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,void *,Mat*);
307: PETSC_EXTERN PetscErrorCode MatCreateNormal(Mat,Mat*);
308: PETSC_EXTERN PetscErrorCode MatCreateNormalHermitian(Mat,Mat*);
309: PETSC_EXTERN PetscErrorCode MatCreateLRC(Mat,Mat,Vec,Mat,Mat*);
310: PETSC_EXTERN PetscErrorCode MatLRCGetMats(Mat,Mat*,Mat*,Vec*,Mat*);
311: PETSC_EXTERN PetscErrorCode MatCreateIS(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,ISLocalToGlobalMapping,ISLocalToGlobalMapping,Mat*);
312: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCRL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
313: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJCRL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
315: PETSC_EXTERN PetscErrorCode MatCreateScatter(MPI_Comm,VecScatter,Mat*);
316: PETSC_EXTERN PetscErrorCode MatScatterSetVecScatter(Mat,VecScatter);
317: PETSC_EXTERN PetscErrorCode MatScatterGetVecScatter(Mat,VecScatter*);
318: PETSC_EXTERN PetscErrorCode MatCreateBlockMat(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt*,Mat*);
319: PETSC_EXTERN PetscErrorCode MatCompositeAddMat(Mat,Mat);
320: PETSC_EXTERN PetscErrorCode MatCompositeMerge(Mat);
321: typedef enum {MAT_COMPOSITE_MERGE_RIGHT,MAT_COMPOSITE_MERGE_LEFT} MatCompositeMergeType;
322: PETSC_EXTERN PetscErrorCode MatCompositeSetMergeType(Mat,MatCompositeMergeType);
323: PETSC_EXTERN PetscErrorCode MatCreateComposite(MPI_Comm,PetscInt,const Mat*,Mat*);
324: typedef enum {MAT_COMPOSITE_ADDITIVE,MAT_COMPOSITE_MULTIPLICATIVE} MatCompositeType;
325: PETSC_EXTERN PetscErrorCode MatCompositeSetType(Mat,MatCompositeType);
326: PETSC_EXTERN PetscErrorCode MatCompositeGetType(Mat,MatCompositeType*);
327: PETSC_EXTERN PetscErrorCode MatCompositeSetMatStructure(Mat,MatStructure);
328: PETSC_EXTERN PetscErrorCode MatCompositeGetMatStructure(Mat,MatStructure*);
329: PETSC_EXTERN PetscErrorCode MatCompositeGetNumberMat(Mat,PetscInt*);
330: PETSC_EXTERN PetscErrorCode MatCompositeGetMat(Mat,PetscInt,Mat*);
331: PETSC_EXTERN PetscErrorCode MatCompositeSetScalings(Mat,const PetscScalar*);
333: PETSC_EXTERN PetscErrorCode MatCreateFFT(MPI_Comm,PetscInt,const PetscInt[],MatType,Mat*);
334: PETSC_EXTERN PetscErrorCode MatCreateSeqCUFFT(MPI_Comm,PetscInt,const PetscInt[],Mat*);
336: PETSC_EXTERN PetscErrorCode MatCreateTranspose(Mat,Mat*);
337: PETSC_EXTERN PetscErrorCode MatTransposeGetMat(Mat,Mat*);
338: PETSC_EXTERN PetscErrorCode MatCreateHermitianTranspose(Mat,Mat*);
339: PETSC_EXTERN PetscErrorCode MatHermitianTransposeGetMat(Mat,Mat*);
340: PETSC_EXTERN PetscErrorCode MatCreateSubMatrixVirtual(Mat,IS,IS,Mat*);
341: PETSC_EXTERN PetscErrorCode MatSubMatrixVirtualUpdate(Mat,Mat,IS,IS);
342: PETSC_EXTERN PetscErrorCode MatCreateLocalRef(Mat,IS,IS,Mat*);
343: PETSC_EXTERN PetscErrorCode MatCreateConstantDiagonal(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscScalar,Mat*);
345: #if defined(PETSC_HAVE_HYPRE)
346: PETSC_EXTERN PetscErrorCode MatHYPRESetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
347: #endif
349: PETSC_EXTERN PetscErrorCode MatPythonSetType(Mat,const char[]);
351: PETSC_EXTERN PetscErrorCode MatResetPreallocation(Mat);
352: PETSC_EXTERN PetscErrorCode MatSetUp(Mat);
353: PETSC_EXTERN PetscErrorCode MatDestroy(Mat*);
354: PETSC_EXTERN PetscErrorCode MatGetNonzeroState(Mat,PetscObjectState*);
356: PETSC_EXTERN PetscErrorCode MatConjugate(Mat);
357: PETSC_EXTERN PetscErrorCode MatRealPart(Mat);
358: PETSC_EXTERN PetscErrorCode MatImaginaryPart(Mat);
359: PETSC_EXTERN PetscErrorCode MatGetDiagonalBlock(Mat,Mat*);
360: PETSC_EXTERN PetscErrorCode MatGetTrace(Mat,PetscScalar*);
361: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonal(Mat,const PetscScalar **);
362: PETSC_EXTERN PetscErrorCode MatInvertVariableBlockDiagonal(Mat,PetscInt,const PetscInt*,PetscScalar*);
363: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonalMat(Mat,Mat);
365: /* ------------------------------------------------------------*/
366: PETSC_EXTERN PetscErrorCode MatSetValues(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
367: PETSC_EXTERN PetscErrorCode MatSetValuesBlocked(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
368: PETSC_EXTERN PetscErrorCode MatSetValuesRow(Mat,PetscInt,const PetscScalar[]);
369: PETSC_EXTERN PetscErrorCode MatSetValuesRowLocal(Mat,PetscInt,const PetscScalar[]);
370: PETSC_EXTERN PetscErrorCode MatSetValuesBatch(Mat,PetscInt,PetscInt,PetscInt[],const PetscScalar[]);
371: PETSC_EXTERN PetscErrorCode MatSetRandom(Mat,PetscRandom);
373: /*S
374: MatStencil - Data structure (C struct) for storing information about a single row or
375: column of a matrix as indexed on an associated grid. These are arguments to MatSetStencil() and MatSetBlockStencil()
377: 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).
378: 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.
380: For stencil access to vectors see DMDAVecGetArray(), DMDAVecGetArrayF90().
382: Fortran usage is different, see MatSetValuesStencil() for details.
384: Level: beginner
386: .seealso: MatSetValuesStencil(), MatSetStencil(), MatSetValuesBlockedStencil(), DMDAVecGetArray(), DMDAVecGetArrayF90()
387: S*/
388: typedef struct {
389: PetscInt k,j,i,c;
390: } MatStencil;
392: PETSC_EXTERN PetscErrorCode MatSetValuesStencil(Mat,PetscInt,const MatStencil[],PetscInt,const MatStencil[],const PetscScalar[],InsertMode);
393: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedStencil(Mat,PetscInt,const MatStencil[],PetscInt,const MatStencil[],const PetscScalar[],InsertMode);
394: PETSC_EXTERN PetscErrorCode MatSetStencil(Mat,PetscInt,const PetscInt[],const PetscInt[],PetscInt);
396: /*E
397: MatAssemblyType - Indicates if the matrix is now to be used, or if you plan
398: to continue to add or insert values to it
400: Level: beginner
402: .seealso: MatAssemblyBegin(), MatAssemblyEnd()
403: E*/
404: typedef enum {MAT_FLUSH_ASSEMBLY=1,MAT_FINAL_ASSEMBLY=0} MatAssemblyType;
405: PETSC_EXTERN PetscErrorCode MatAssemblyBegin(Mat,MatAssemblyType);
406: PETSC_EXTERN PetscErrorCode MatAssemblyEnd(Mat,MatAssemblyType);
407: PETSC_EXTERN PetscErrorCode MatAssembled(Mat,PetscBool *);
411: /*E
412: MatOption - Options that may be set for a matrix and its behavior or storage
414: Level: beginner
416: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
417: Any additions/changes here must also be made in src/mat/interface/dlregismat.c in MatOptions[]
419: Developer Notes:
420: Entries that are negative need not be called collectively by all processes.
422: .seealso: MatSetOption()
423: E*/
424: typedef enum {MAT_OPTION_MIN = -3,
425: MAT_UNUSED_NONZERO_LOCATION_ERR = -2,
426: MAT_ROW_ORIENTED = -1,
427: MAT_SYMMETRIC = 1,
428: MAT_STRUCTURALLY_SYMMETRIC = 2,
429: MAT_NEW_DIAGONALS = 3,
430: MAT_IGNORE_OFF_PROC_ENTRIES = 4,
431: MAT_USE_HASH_TABLE = 5,
432: MAT_KEEP_NONZERO_PATTERN = 6,
433: MAT_IGNORE_ZERO_ENTRIES = 7,
434: MAT_USE_INODES = 8,
435: MAT_HERMITIAN = 9,
436: MAT_SYMMETRY_ETERNAL = 10,
437: MAT_NEW_NONZERO_LOCATION_ERR = 11,
438: MAT_IGNORE_LOWER_TRIANGULAR = 12,
439: MAT_ERROR_LOWER_TRIANGULAR = 13,
440: MAT_GETROW_UPPERTRIANGULAR = 14,
441: MAT_SPD = 15,
442: MAT_NO_OFF_PROC_ZERO_ROWS = 16,
443: MAT_NO_OFF_PROC_ENTRIES = 17,
444: MAT_NEW_NONZERO_LOCATIONS = 18,
445: MAT_NEW_NONZERO_ALLOCATION_ERR = 19,
446: MAT_SUBSET_OFF_PROC_ENTRIES = 20,
447: MAT_SUBMAT_SINGLEIS = 21,
448: MAT_STRUCTURE_ONLY = 22,
449: MAT_SORTED_FULL = 23,
450: MAT_OPTION_MAX = 24} MatOption;
452: PETSC_EXTERN const char *const *MatOptions;
453: PETSC_EXTERN PetscErrorCode MatSetOption(Mat,MatOption,PetscBool);
454: PETSC_EXTERN PetscErrorCode MatGetOption(Mat,MatOption,PetscBool*);
455: PETSC_EXTERN PetscErrorCode MatPropagateSymmetryOptions(Mat,Mat);
456: PETSC_EXTERN PetscErrorCode MatGetType(Mat,MatType*);
458: PETSC_EXTERN PetscErrorCode MatGetValues(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],PetscScalar[]);
459: PETSC_EXTERN PetscErrorCode MatGetRow(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
460: PETSC_EXTERN PetscErrorCode MatRestoreRow(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
461: PETSC_EXTERN PetscErrorCode MatGetRowUpperTriangular(Mat);
462: PETSC_EXTERN PetscErrorCode MatRestoreRowUpperTriangular(Mat);
463: PETSC_EXTERN PetscErrorCode MatGetColumnVector(Mat,Vec,PetscInt);
464: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArray(Mat,PetscScalar *[]);
465: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArrayRead(Mat,const PetscScalar *[]);
466: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArray(Mat,PetscScalar *[]);
467: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArrayRead(Mat,const PetscScalar *[]);
468: PETSC_EXTERN PetscErrorCode MatSeqAIJGetMaxRowNonzeros(Mat,PetscInt*);
469: PETSC_EXTERN PetscErrorCode MatSeqAIJSetValuesLocalFast(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
470: PETSC_EXTERN PetscErrorCode MatSeqAIJSetType(Mat,MatType);
471: PETSC_EXTERN PetscErrorCode MatSeqAIJRegister(const char[],PetscErrorCode (*)(Mat,MatType,MatReuse,Mat *));
472: PETSC_EXTERN PetscFunctionList MatSeqAIJList;
473: PETSC_EXTERN PetscErrorCode MatSeqBAIJGetArray(Mat,PetscScalar *[]);
474: PETSC_EXTERN PetscErrorCode MatSeqBAIJRestoreArray(Mat,PetscScalar *[]);
475: PETSC_EXTERN PetscErrorCode MatSeqSBAIJGetArray(Mat,PetscScalar *[]);
476: PETSC_EXTERN PetscErrorCode MatSeqSBAIJRestoreArray(Mat,PetscScalar *[]);
477: PETSC_EXTERN PetscErrorCode MatDenseGetArray(Mat,PetscScalar *[]);
478: PETSC_EXTERN PetscErrorCode MatDenseRestoreArray(Mat,PetscScalar *[]);
479: PETSC_EXTERN PetscErrorCode MatDensePlaceArray(Mat,const PetscScalar[]);
480: PETSC_EXTERN PetscErrorCode MatDenseReplaceArray(Mat,const PetscScalar[]);
481: PETSC_EXTERN PetscErrorCode MatDenseResetArray(Mat);
482: PETSC_EXTERN PetscErrorCode MatDenseGetArrayRead(Mat,const PetscScalar *[]);
483: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayRead(Mat,const PetscScalar *[]);
484: PETSC_EXTERN PetscErrorCode MatDenseGetArrayWrite(Mat,PetscScalar *[]);
485: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayWrite(Mat,PetscScalar *[]);
486: PETSC_EXTERN PetscErrorCode MatGetBlockSize(Mat,PetscInt *);
487: PETSC_EXTERN PetscErrorCode MatSetBlockSize(Mat,PetscInt);
488: PETSC_EXTERN PetscErrorCode MatGetBlockSizes(Mat,PetscInt *,PetscInt *);
489: PETSC_EXTERN PetscErrorCode MatSetBlockSizes(Mat,PetscInt,PetscInt);
490: PETSC_EXTERN PetscErrorCode MatSetBlockSizesFromMats(Mat,Mat,Mat);
491: PETSC_EXTERN PetscErrorCode MatSetVariableBlockSizes(Mat,PetscInt,PetscInt*);
492: PETSC_EXTERN PetscErrorCode MatGetVariableBlockSizes(Mat,PetscInt*,const PetscInt**);
494: PETSC_EXTERN PetscErrorCode MatDenseGetColumn(Mat,PetscInt,PetscScalar*[]);
495: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumn(Mat,PetscScalar*[]);
496: PETSC_EXTERN PetscErrorCode MatDenseGetColumnVec(Mat,PetscInt,Vec*);
497: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVec(Mat,PetscInt,Vec*);
498: PETSC_EXTERN PetscErrorCode MatDenseGetColumnVecRead(Mat,PetscInt,Vec*);
499: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVecRead(Mat,PetscInt,Vec*);
500: PETSC_EXTERN PetscErrorCode MatDenseGetColumnVecWrite(Mat,PetscInt,Vec*);
501: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVecWrite(Mat,PetscInt,Vec*);
502: PETSC_EXTERN PetscErrorCode MatDenseGetSubMatrix(Mat,PetscInt,PetscInt,Mat*);
503: PETSC_EXTERN PetscErrorCode MatDenseRestoreSubMatrix(Mat,Mat*);
505: PETSC_EXTERN PetscErrorCode MatMult(Mat,Vec,Vec);
506: PETSC_EXTERN PetscErrorCode MatMultDiagonalBlock(Mat,Vec,Vec);
507: PETSC_EXTERN PetscErrorCode MatMultAdd(Mat,Vec,Vec,Vec);
508: PETSC_EXTERN PetscErrorCode MatMultTranspose(Mat,Vec,Vec);
509: PETSC_EXTERN PetscErrorCode MatMultHermitianTranspose(Mat,Vec,Vec);
510: PETSC_EXTERN PetscErrorCode MatIsTranspose(Mat,Mat,PetscReal,PetscBool *);
511: PETSC_EXTERN PetscErrorCode MatIsHermitianTranspose(Mat,Mat,PetscReal,PetscBool *);
512: PETSC_EXTERN PetscErrorCode MatMultTransposeAdd(Mat,Vec,Vec,Vec);
513: PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeAdd(Mat,Vec,Vec,Vec);
514: PETSC_EXTERN PetscErrorCode MatMultConstrained(Mat,Vec,Vec);
515: PETSC_EXTERN PetscErrorCode MatMultTransposeConstrained(Mat,Vec,Vec);
516: PETSC_EXTERN PetscErrorCode MatMatSolve(Mat,Mat,Mat);
517: PETSC_EXTERN PetscErrorCode MatMatSolveTranspose(Mat,Mat,Mat);
518: PETSC_EXTERN PetscErrorCode MatMatTransposeSolve(Mat,Mat,Mat);
519: PETSC_EXTERN PetscErrorCode MatResidual(Mat,Vec,Vec,Vec);
521: /*E
522: MatDuplicateOption - Indicates if a duplicated sparse matrix should have
523: its numerical values copied over or just its nonzero structure.
525: Level: beginner
527: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
529: $ MAT_DO_NOT_COPY_VALUES - Create a matrix using the same nonzero pattern as the original matrix,
530: $ with zeros for the numerical values.
531: $ MAT_COPY_VALUES - Create a matrix with the same nonzero pattern as the original matrix
532: $ and with the same numerical values.
533: $ MAT_SHARE_NONZERO_PATTERN - Create a matrix that shares the nonzero structure with the previous matrix
534: $ and does not copy it, using zeros for the numerical values. The parent and
535: $ child matrices will share their index (i and j) arrays, and you cannot
536: $ insert new nonzero entries into either matrix.
538: Notes:
539: Many matrix types (including SeqAIJ) do not support the MAT_SHARE_NONZERO_PATTERN optimization; in
540: this case the behavior is as if MAT_DO_NOT_COPY_VALUES has been specified.
542: .seealso: MatDuplicate()
543: E*/
544: typedef enum {MAT_DO_NOT_COPY_VALUES,MAT_COPY_VALUES,MAT_SHARE_NONZERO_PATTERN} MatDuplicateOption;
546: PETSC_EXTERN PetscErrorCode MatConvert(Mat,MatType,MatReuse,Mat*);
547: PETSC_EXTERN PetscErrorCode MatDuplicate(Mat,MatDuplicateOption,Mat*);
550: PETSC_EXTERN PetscErrorCode MatCopy(Mat,Mat,MatStructure);
551: PETSC_EXTERN PetscErrorCode MatView(Mat,PetscViewer);
552: PETSC_EXTERN PetscErrorCode MatIsSymmetric(Mat,PetscReal,PetscBool *);
553: PETSC_EXTERN PetscErrorCode MatIsStructurallySymmetric(Mat,PetscBool *);
554: PETSC_EXTERN PetscErrorCode MatIsHermitian(Mat,PetscReal,PetscBool *);
555: PETSC_EXTERN PetscErrorCode MatIsSymmetricKnown(Mat,PetscBool *,PetscBool *);
556: PETSC_EXTERN PetscErrorCode MatIsHermitianKnown(Mat,PetscBool *,PetscBool *);
557: PETSC_EXTERN PetscErrorCode MatMissingDiagonal(Mat,PetscBool *,PetscInt *);
558: PETSC_EXTERN PetscErrorCode MatLoad(Mat, PetscViewer);
560: PETSC_EXTERN PetscErrorCode MatGetRowIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool *);
561: PETSC_EXTERN PetscErrorCode MatRestoreRowIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt *,const PetscInt *[],const PetscInt *[],PetscBool *);
562: PETSC_EXTERN PetscErrorCode MatGetColumnIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool *);
563: PETSC_EXTERN PetscErrorCode MatRestoreColumnIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt *,const PetscInt *[],const PetscInt *[],PetscBool *);
565: /*S
566: MatInfo - Context of matrix information, used with MatGetInfo()
568: In Fortran this is simply a double precision array of dimension MAT_INFO_SIZE
570: Level: intermediate
572: .seealso: MatGetInfo(), MatInfoType
573: S*/
574: typedef struct {
575: PetscLogDouble block_size; /* block size */
576: PetscLogDouble nz_allocated,nz_used,nz_unneeded; /* number of nonzeros */
577: PetscLogDouble memory; /* memory allocated */
578: PetscLogDouble assemblies; /* number of matrix assemblies called */
579: PetscLogDouble mallocs; /* number of mallocs during MatSetValues() */
580: PetscLogDouble fill_ratio_given,fill_ratio_needed; /* fill ratio for LU/ILU */
581: PetscLogDouble factor_mallocs; /* number of mallocs during factorization */
582: } MatInfo;
584: /*E
585: MatInfoType - Indicates if you want information about the local part of the matrix,
586: the entire parallel matrix or the maximum over all the local parts.
588: Level: beginner
590: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
592: .seealso: MatGetInfo(), MatInfo
593: E*/
594: typedef enum {MAT_LOCAL=1,MAT_GLOBAL_MAX=2,MAT_GLOBAL_SUM=3} MatInfoType;
595: PETSC_EXTERN PetscErrorCode MatGetInfo(Mat,MatInfoType,MatInfo*);
596: PETSC_EXTERN PetscErrorCode MatGetDiagonal(Mat,Vec);
597: PETSC_EXTERN PetscErrorCode MatGetRowMax(Mat,Vec,PetscInt[]);
598: PETSC_EXTERN PetscErrorCode MatGetRowMin(Mat,Vec,PetscInt[]);
599: PETSC_EXTERN PetscErrorCode MatGetRowMaxAbs(Mat,Vec,PetscInt[]);
600: PETSC_EXTERN PetscErrorCode MatGetRowMinAbs(Mat,Vec,PetscInt[]);
601: PETSC_EXTERN PetscErrorCode MatGetRowSum(Mat,Vec);
602: PETSC_EXTERN PetscErrorCode MatTranspose(Mat,MatReuse,Mat*);
603: PETSC_EXTERN PetscErrorCode MatHermitianTranspose(Mat,MatReuse,Mat*);
604: PETSC_EXTERN PetscErrorCode MatPermute(Mat,IS,IS,Mat*);
605: PETSC_EXTERN PetscErrorCode MatDiagonalScale(Mat,Vec,Vec);
606: PETSC_EXTERN PetscErrorCode MatDiagonalSet(Mat,Vec,InsertMode);
608: PETSC_EXTERN PetscErrorCode MatEqual(Mat,Mat,PetscBool*);
609: PETSC_EXTERN PetscErrorCode MatMultEqual(Mat,Mat,PetscInt,PetscBool*);
610: PETSC_EXTERN PetscErrorCode MatMultAddEqual(Mat,Mat,PetscInt,PetscBool*);
611: PETSC_EXTERN PetscErrorCode MatMultTransposeEqual(Mat,Mat,PetscInt,PetscBool*);
612: PETSC_EXTERN PetscErrorCode MatMultTransposeAddEqual(Mat,Mat,PetscInt,PetscBool*);
613: PETSC_EXTERN PetscErrorCode MatMatMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
614: PETSC_EXTERN PetscErrorCode MatTransposeMatMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
615: PETSC_EXTERN PetscErrorCode MatMatTransposeMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
616: PETSC_EXTERN PetscErrorCode MatPtAPMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
617: PETSC_EXTERN PetscErrorCode MatRARtMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
618: PETSC_EXTERN PetscErrorCode MatIsLinear(Mat,PetscInt,PetscBool*);
620: PETSC_EXTERN PetscErrorCode MatNorm(Mat,NormType,PetscReal*);
621: PETSC_EXTERN PetscErrorCode MatGetColumnNorms(Mat,NormType,PetscReal*);
622: PETSC_EXTERN PetscErrorCode MatZeroEntries(Mat);
623: PETSC_EXTERN PetscErrorCode MatSetInf(Mat);
624: PETSC_EXTERN PetscErrorCode MatZeroRows(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
625: PETSC_EXTERN PetscErrorCode MatZeroRowsIS(Mat,IS,PetscScalar,Vec,Vec);
626: PETSC_EXTERN PetscErrorCode MatZeroRowsStencil(Mat,PetscInt,const MatStencil [],PetscScalar,Vec,Vec);
627: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsStencil(Mat,PetscInt,const MatStencil[],PetscScalar,Vec,Vec);
628: PETSC_EXTERN PetscErrorCode MatZeroRowsColumns(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
629: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsIS(Mat,IS,PetscScalar,Vec,Vec);
631: PETSC_EXTERN PetscErrorCode MatGetSize(Mat,PetscInt*,PetscInt*);
632: PETSC_EXTERN PetscErrorCode MatGetLocalSize(Mat,PetscInt*,PetscInt*);
633: PETSC_EXTERN PetscErrorCode MatGetOwnershipRange(Mat,PetscInt*,PetscInt*);
634: PETSC_EXTERN PetscErrorCode MatGetOwnershipRanges(Mat,const PetscInt**);
635: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangeColumn(Mat,PetscInt*,PetscInt*);
636: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangesColumn(Mat,const PetscInt**);
637: PETSC_EXTERN PetscErrorCode MatGetOwnershipIS(Mat,IS*,IS*);
639: PETSC_EXTERN PetscErrorCode MatCreateSubMatrices(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
640: 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);}
641: PETSC_EXTERN PetscErrorCode MatCreateSubMatricesMPI(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
642: 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);}
643: PETSC_EXTERN PetscErrorCode MatDestroyMatrices(PetscInt,Mat *[]);
644: PETSC_EXTERN PetscErrorCode MatDestroySubMatrices(PetscInt,Mat *[]);
645: PETSC_EXTERN PetscErrorCode MatCreateSubMatrix(Mat,IS,IS,MatReuse,Mat *);
646: 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);}
647: PETSC_EXTERN PetscErrorCode MatGetLocalSubMatrix(Mat,IS,IS,Mat*);
648: PETSC_EXTERN PetscErrorCode MatRestoreLocalSubMatrix(Mat,IS,IS,Mat*);
649: PETSC_EXTERN PetscErrorCode MatGetSeqNonzeroStructure(Mat,Mat*);
650: PETSC_EXTERN PetscErrorCode MatDestroySeqNonzeroStructure(Mat*);
652: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJ(MPI_Comm,Mat,PetscInt,PetscInt,MatReuse,Mat*);
653: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJSymbolic(MPI_Comm,Mat,PetscInt,PetscInt,Mat*);
654: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJNumeric(Mat,Mat);
655: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMat(Mat,MatReuse,Mat*);
656: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMatCondensed(Mat,MatReuse,IS*,IS*,Mat*);
657: PETSC_EXTERN PetscErrorCode MatGetBrowsOfAcols(Mat,Mat,MatReuse,IS*,IS*,Mat*);
658: PETSC_EXTERN PetscErrorCode MatGetGhosts(Mat, PetscInt *,const PetscInt *[]);
660: PETSC_EXTERN PetscErrorCode MatIncreaseOverlap(Mat,PetscInt,IS[],PetscInt);
661: PETSC_EXTERN PetscErrorCode MatIncreaseOverlapSplit(Mat mat,PetscInt n,IS is[],PetscInt ov);
662: PETSC_EXTERN PetscErrorCode MatMPIAIJSetUseScalableIncreaseOverlap(Mat,PetscBool);
664: PETSC_EXTERN PetscErrorCode MatMatMult(Mat,Mat,MatReuse,PetscReal,Mat*);
666: PETSC_EXTERN PetscErrorCode MatMatMatMult(Mat,Mat,Mat,MatReuse,PetscReal,Mat*);
667: PETSC_EXTERN PetscErrorCode MatGalerkin(Mat,Mat,Mat,MatReuse,PetscReal,Mat*);
669: PETSC_EXTERN PetscErrorCode MatPtAP(Mat,Mat,MatReuse,PetscReal,Mat*);
670: PETSC_EXTERN PetscErrorCode MatRARt(Mat,Mat,MatReuse,PetscReal,Mat*);
672: PETSC_EXTERN PetscErrorCode MatTransposeMatMult(Mat,Mat,MatReuse,PetscReal,Mat*);
673: PETSC_EXTERN PetscErrorCode MatMatTransposeMult(Mat,Mat,MatReuse,PetscReal,Mat*);
675: PETSC_EXTERN PetscErrorCode MatAXPY(Mat,PetscScalar,Mat,MatStructure);
676: PETSC_EXTERN PetscErrorCode MatAYPX(Mat,PetscScalar,Mat,MatStructure);
678: PETSC_EXTERN PetscErrorCode MatScale(Mat,PetscScalar);
679: PETSC_EXTERN PetscErrorCode MatShift(Mat,PetscScalar);
681: PETSC_EXTERN PetscErrorCode MatSetLocalToGlobalMapping(Mat,ISLocalToGlobalMapping,ISLocalToGlobalMapping);
682: PETSC_EXTERN PetscErrorCode MatGetLocalToGlobalMapping(Mat,ISLocalToGlobalMapping*,ISLocalToGlobalMapping*);
683: PETSC_EXTERN PetscErrorCode MatGetLayouts(Mat,PetscLayout*,PetscLayout*);
684: PETSC_EXTERN PetscErrorCode MatZeroRowsLocal(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
685: PETSC_EXTERN PetscErrorCode MatZeroRowsLocalIS(Mat,IS,PetscScalar,Vec,Vec);
686: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocal(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
687: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocalIS(Mat,IS,PetscScalar,Vec,Vec);
688: PETSC_EXTERN PetscErrorCode MatGetValuesLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],PetscScalar[]);
689: PETSC_EXTERN PetscErrorCode MatSetValuesLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
690: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
692: PETSC_EXTERN PetscErrorCode MatStashSetInitialSize(Mat,PetscInt,PetscInt);
693: PETSC_EXTERN PetscErrorCode MatStashGetInfo(Mat,PetscInt*,PetscInt*,PetscInt*,PetscInt*);
695: PETSC_EXTERN PetscErrorCode MatInterpolate(Mat,Vec,Vec);
696: PETSC_EXTERN PetscErrorCode MatInterpolateAdd(Mat,Vec,Vec,Vec);
697: PETSC_EXTERN PetscErrorCode MatRestrict(Mat,Vec,Vec);
698: PETSC_EXTERN PetscErrorCode MatCreateVecs(Mat,Vec*,Vec*);
699: 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);}
700: PETSC_EXTERN PetscErrorCode MatCreateRedundantMatrix(Mat,PetscInt,MPI_Comm,MatReuse,Mat*);
701: PETSC_EXTERN PetscErrorCode MatGetMultiProcBlock(Mat,MPI_Comm,MatReuse,Mat*);
702: PETSC_EXTERN PetscErrorCode MatFindZeroDiagonals(Mat,IS*);
703: PETSC_EXTERN PetscErrorCode MatFindOffBlockDiagonalEntries(Mat,IS*);
704: PETSC_EXTERN PetscErrorCode MatCreateMPIMatConcatenateSeqMat(MPI_Comm,Mat,PetscInt,MatReuse,Mat*);
706: /*MC
707: MatSetValue - Set a single entry into a matrix.
709: Not collective
711: Synopsis:
712: #include <petscmat.h>
713: PetscErrorCode MatSetValue(Mat m,PetscInt row,PetscInt col,PetscScalar value,InsertMode mode)
715: Input Parameters:
716: + m - the matrix
717: . row - the row location of the entry
718: . col - the column location of the entry
719: . value - the value to insert
720: - mode - either INSERT_VALUES or ADD_VALUES
722: Notes:
723: For efficiency one should use MatSetValues() and set several or many
724: values simultaneously if possible.
726: Level: beginner
728: .seealso: MatSetValues(), MatSetValueLocal()
729: M*/
730: PETSC_STATIC_INLINE PetscErrorCode MatSetValue(Mat v,PetscInt i,PetscInt j,PetscScalar va,InsertMode mode) {return MatSetValues(v,1,&i,1,&j,&va,mode);}
732: PETSC_STATIC_INLINE PetscErrorCode MatGetValue(Mat v,PetscInt i,PetscInt j,PetscScalar *va) {return MatGetValues(v,1,&i,1,&j,va);}
734: PETSC_STATIC_INLINE PetscErrorCode MatSetValueLocal(Mat v,PetscInt i,PetscInt j,PetscScalar va,InsertMode mode) {return MatSetValuesLocal(v,1,&i,1,&j,&va,mode);}
736: /*MC
737: MatPreallocateInitialize - Begins the block of code that will count the number of nonzeros per
738: row in a matrix providing the data that one can use to correctly preallocate the matrix.
740: Synopsis:
741: #include <petscmat.h>
742: PetscErrorCode MatPreallocateInitialize(MPI_Comm comm, PetscInt nrows, PetscInt ncols, PetscInt *dnz, PetscInt *onz)
744: Collective
746: Input Parameters:
747: + comm - the communicator that will share the eventually allocated matrix
748: . nrows - the number of LOCAL rows in the matrix
749: - ncols - the number of LOCAL columns in the matrix
751: Output Parameters:
752: + dnz - the array that will be passed to the matrix preallocation routines
753: - onz - the other array passed to the matrix preallocation routines
755: Level: intermediate
757: Notes:
758: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
760: Do not malloc or free dnz and onz, that is handled internally by these routines
762: This is a MACRO not a function because it has a leading { that is closed by PetscPreallocateFinalize().
764: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
765: MatPreallocateSymmetricSetLocalBlock()
766: M*/
767: #define MatPreallocateInitialize(comm,nrows,ncols,dnz,onz) 0; \
768: do { \
769: PetscErrorCode _4_ierr; PetscInt __nrows = (nrows),__ncols = (ncols),__rstart,__start,__end; \
770: _4_PetscCalloc2((size_t)__nrows,&dnz,(size_t)__nrows,&onz);CHKERRQ(_4_ierr); \
771: __start = 0; __end = __start; \
772: _4_MPI_Scan(&__ncols,&__end,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __start = __end - __ncols;\
773: _4_MPI_Scan(&__nrows,&__rstart,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __rstart = __rstart - __nrows; \
774: do { } while (0)
776: /*MC
777: MatPreallocateSetLocal - Indicates the locations (rows and columns) in the matrix where nonzeros will be
778: inserted using a local number of the rows and columns
780: Synopsis:
781: #include <petscmat.h>
782: PetscErrorCode MatPreallocateSetLocal(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
784: Not Collective
786: Input Parameters:
787: + map - the row mapping from local numbering to global numbering
788: . nrows - the number of rows indicated
789: . rows - the indices of the rows
790: . cmap - the column mapping from local to global numbering
791: . ncols - the number of columns in the matrix
792: . cols - the columns indicated
793: . dnz - the array that will be passed to the matrix preallocation routines
794: - onz - the other array passed to the matrix preallocation routines
796: Level: intermediate
798: Notes:
799: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
801: Do not malloc or free dnz and onz, that is handled internally by these routines
803: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
804: MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock(), MatPreallocateSetLocalRemoveDups()
805: M*/
806: #define MatPreallocateSetLocal(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
807: do {\
808: PetscInt __l;\
809: _4_ISLocalToGlobalMappingApply(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
810: _4_ISLocalToGlobalMappingApply(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
811: for (__l=0;__l<nrows;__l++) {\
812: _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
813: }\
814: } while (0)
816: /*MC
817: MatPreallocateSetLocalRemoveDups - Indicates the locations (rows and columns) in the matrix where nonzeros will be
818: inserted using a local number of the rows and columns. This version removes any duplicate columns in cols
820: Synopsis:
821: #include <petscmat.h>
822: PetscErrorCode MatPreallocateSetLocalRemoveDups(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
824: Not Collective
826: Input Parameters:
827: + map - the row mapping from local numbering to global numbering
828: . nrows - the number of rows indicated
829: . rows - the indices of the rows (these values are mapped to the global values)
830: . cmap - the column mapping from local to global numbering
831: . ncols - the number of columns in the matrix (this value will be changed if duplicate columns are found)
832: . cols - the columns indicated (these values are mapped to the global values, they are then sorted and duplicates removed)
833: . dnz - the array that will be passed to the matrix preallocation routines
834: - onz - the other array passed to the matrix preallocation routines
836: Level: intermediate
838: Notes:
839: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
841: Do not malloc or free dnz and onz, that is handled internally by these routines
843: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
844: MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock(), MatPreallocateSetLocal()
845: M*/
846: #define MatPreallocateSetLocalRemoveDups(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
847: do {\
848: PetscInt __l;\
849: _4_ISLocalToGlobalMappingApply(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
850: _4_ISLocalToGlobalMappingApply(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
851: _4_PetscSortRemoveDupsInt(&ncols,cols);CHKERRQ(_4_ierr);\
852: for (__l=0;__l<nrows;__l++) {\
853: _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
854: }\
855: } while (0)
857: /*MC
858: MatPreallocateSetLocalBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
859: inserted using a local number of the rows and columns
861: Synopsis:
862: #include <petscmat.h>
863: PetscErrorCode MatPreallocateSetLocalBlock(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
865: Not Collective
867: Input Parameters:
868: + map - the row mapping from local numbering to global numbering
869: . nrows - the number of rows indicated
870: . rows - the indices of the rows
871: . cmap - the column mapping from local to global numbering
872: . ncols - the number of columns in the matrix
873: . cols - the columns indicated
874: . dnz - the array that will be passed to the matrix preallocation routines
875: - onz - the other array passed to the matrix preallocation routines
877: Level: intermediate
879: Notes:
880: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
882: Do not malloc or free dnz and onz, that is handled internally by these routines
884: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
885: MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock()
886: M*/
887: #define MatPreallocateSetLocalBlock(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
888: do {\
889: PetscInt __l;\
890: _4_ISLocalToGlobalMappingApplyBlock(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
891: _4_ISLocalToGlobalMappingApplyBlock(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
892: for (__l=0;__l<nrows;__l++) {\
893: _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
894: }\
895: } while (0)
897: /*MC
898: MatPreallocateSymmetricSetLocalBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
899: inserted using a local number of the rows and columns
901: Synopsis:
902: #include <petscmat.h>
903: PetscErrorCode MatPreallocateSymmetricSetLocalBlock(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
905: Not Collective
907: Input Parameters:
908: + map - the mapping between local numbering and global numbering
909: . nrows - the number of rows indicated
910: . rows - the indices of the rows
911: . ncols - the number of columns in the matrix
912: . cols - the columns indicated
913: . dnz - the array that will be passed to the matrix preallocation routines
914: - onz - the other array passed to the matrix preallocation routines
916: Level: intermediate
918: Notes:
919: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
921: Do not malloc or free dnz and onz that is handled internally by these routines
923: .seealso: MatPreallocateFinalize(), MatPreallocateSet()
924: MatPreallocateInitialize(), MatPreallocateSetLocal()
925: M*/
926: #define MatPreallocateSymmetricSetLocalBlock(map,nrows,rows,ncols,cols,dnz,onz) 0;\
927: do {\
928: PetscInt __l;\
929: _4_ISLocalToGlobalMappingApplyBlock(map,nrows,rows,rows);CHKERRQ(_4_ierr);\
930: _4_ISLocalToGlobalMappingApplyBlock(map,ncols,cols,cols);CHKERRQ(_4_ierr);\
931: for (__l=0;__l<nrows;__l++) {\
932: _4_MatPreallocateSymmetricSetBlock((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
933: }\
934: } while (0)
936: /*MC
937: MatPreallocateSet - Indicates the locations (rows and columns) in the matrix where nonzeros will be
938: inserted using a local number of the rows and columns
940: Synopsis:
941: #include <petscmat.h>
942: PetscErrorCode MatPreallocateSet(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
944: Not Collective
946: Input Parameters:
947: + row - the row
948: . ncols - the number of columns in the matrix
949: - cols - the columns indicated
951: Output Parameters:
952: + dnz - the array that will be passed to the matrix preallocation routines
953: - onz - the other array passed to the matrix preallocation routines
955: Level: intermediate
957: Notes:
958: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
960: Do not malloc or free dnz and onz that is handled internally by these routines
962: This is a MACRO not a function because it uses variables declared in MatPreallocateInitialize().
964: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
965: MatPreallocateInitialize(), MatPreallocateSetLocal()
966: M*/
967: #define MatPreallocateSet(row,nc,cols,dnz,onz) 0;\
968: do { PetscInt __i; \
969: 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);\
970: 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);\
971: for (__i=0; __i<nc; __i++) {\
972: if ((cols)[__i] < __start || (cols)[__i] >= __end) onz[row - __rstart]++; \
973: else if (dnz[row - __rstart] < __ncols) dnz[row - __rstart]++;\
974: }\
975: } while (0)
977: /*MC
978: MatPreallocateSymmetricSetBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
979: inserted using a local number of the rows and columns
981: Synopsis:
982: #include <petscmat.h>
983: PetscErrorCode MatPreallocateSymmetricSetBlock(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
985: Not Collective
987: Input Parameters:
988: + nrows - the number of rows indicated
989: . rows - the indices of the rows
990: . ncols - the number of columns in the matrix
991: . cols - the columns indicated
992: . dnz - the array that will be passed to the matrix preallocation routines
993: - onz - the other array passed to the matrix preallocation routines
995: Level: intermediate
997: Notes:
998: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
1000: Do not malloc or free dnz and onz that is handled internally by these routines
1002: This is a MACRO not a function because it uses variables declared in MatPreallocateInitialize().
1004: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateInitialize(),
1005: MatPreallocateSymmetricSetLocalBlock(), MatPreallocateSetLocal()
1006: M*/
1007: #define MatPreallocateSymmetricSetBlock(row,nc,cols,dnz,onz) 0;\
1008: do { PetscInt __i; \
1009: for (__i=0; __i<nc; __i++) {\
1010: if (cols[__i] >= __end) onz[row - __rstart]++; \
1011: else if (cols[__i] >= row && dnz[row - __rstart] < __ncols) dnz[row - __rstart]++;\
1012: }\
1013: } while (0)
1015: /*MC
1016: MatPreallocateLocation - An alternative to MatPreallocateSet() that puts the nonzero locations into the matrix if it exists
1018: Synopsis:
1019: #include <petscmat.h>
1020: PetscErrorCode MatPreallocateLocations(Mat A,PetscInt row,PetscInt ncols,PetscInt *cols,PetscInt *dnz,PetscInt *onz)
1022: Not Collective
1024: Input Parameters:
1025: + A - matrix
1026: . row - row where values exist (must be local to this process)
1027: . ncols - number of columns
1028: . cols - columns with nonzeros
1029: . dnz - the array that will be passed to the matrix preallocation routines
1030: - onz - the other array passed to the matrix preallocation routines
1032: Level: intermediate
1034: Notes:
1035: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
1037: Do not malloc or free dnz and onz that is handled internally by these routines
1039: This is a MACRO not a function because it uses a bunch of variables private to the MatPreallocation.... routines.
1041: .seealso: MatPreallocateInitialize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
1042: MatPreallocateSymmetricSetLocalBlock()
1043: M*/
1044: #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)
1047: /*MC
1048: MatPreallocateFinalize - Ends the block of code that will count the number of nonzeros per
1049: row in a matrix providing the data that one can use to correctly preallocate the matrix.
1051: Synopsis:
1052: #include <petscmat.h>
1053: PetscErrorCode MatPreallocateFinalize(PetscInt *dnz, PetscInt *onz)
1055: Collective
1057: Input Parameters:
1058: + dnz - the array that was be passed to the matrix preallocation routines
1059: - onz - the other array passed to the matrix preallocation routines
1061: Level: intermediate
1063: Notes:
1064: See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.
1066: Do not malloc or free dnz and onz that is handled internally by these routines
1068: This is a MACRO not a function because it closes the { started in MatPreallocateInitialize().
1070: .seealso: MatPreallocateInitialize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
1071: MatPreallocateSymmetricSetLocalBlock()
1072: M*/
1073: #define MatPreallocateFinalize(dnz,onz) 0;_4_PetscFree2(dnz,onz);CHKERRQ(_4_ierr);} while (0)
1075: /* Routines unique to particular data structures */
1076: PETSC_EXTERN PetscErrorCode MatShellGetContext(Mat,void *);
1078: PETSC_EXTERN PetscErrorCode MatInodeAdjustForInodes(Mat,IS*,IS*);
1079: PETSC_EXTERN PetscErrorCode MatInodeGetInodeSizes(Mat,PetscInt *,PetscInt *[],PetscInt *);
1081: PETSC_EXTERN PetscErrorCode MatSeqAIJSetColumnIndices(Mat,PetscInt[]);
1082: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetColumnIndices(Mat,PetscInt[]);
1083: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
1084: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
1085: PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
1086: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJFromTriple(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*,PetscInt,PetscBool);
1088: #define MAT_SKIP_ALLOCATION -4
1090: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
1091: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
1092: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocation(Mat,PetscInt,const PetscInt[]);
1094: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1095: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1096: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1097: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocationCSR(Mat,const PetscInt [],const PetscInt [],const PetscScalar []);
1098: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
1099: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocationCSR(Mat,const PetscInt[],const PetscInt[],const PetscScalar[]);
1100: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
1101: PETSC_EXTERN PetscErrorCode MatMPIAdjSetPreallocation(Mat,PetscInt[],PetscInt[],PetscInt[]);
1102: PETSC_EXTERN PetscErrorCode MatMPIAdjToSeq(Mat,Mat*);
1103: PETSC_EXTERN PetscErrorCode MatMPIDenseSetPreallocation(Mat,PetscScalar[]);
1104: PETSC_EXTERN PetscErrorCode MatSeqDenseSetPreallocation(Mat,PetscScalar[]);
1105: PETSC_EXTERN PetscErrorCode MatMPIAIJGetSeqAIJ(Mat,Mat*,Mat*,const PetscInt*[]);
1106: PETSC_EXTERN PetscErrorCode MatMPIBAIJGetSeqBAIJ(Mat,Mat*,Mat*,const PetscInt*[]);
1107: PETSC_EXTERN PetscErrorCode MatMPIAdjCreateNonemptySubcommMat(Mat,Mat*);
1109: PETSC_EXTERN PetscErrorCode MatDenseGetLDA(Mat,PetscInt*);
1110: PETSC_EXTERN PetscErrorCode MatDenseSetLDA(Mat,PetscInt);
1111: PETSC_DEPRECATED_FUNCTION("Use MatDenseSetLDA() (since version 3.14)") PETSC_STATIC_INLINE PetscErrorCode MatSeqDenseSetLDA(Mat A,PetscInt lda) {return MatDenseSetLDA(A,lda);}
1112: PETSC_EXTERN PetscErrorCode MatDenseGetLocalMatrix(Mat,Mat*);
1114: PETSC_EXTERN PetscErrorCode MatBlockMatSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
1116: PETSC_EXTERN PetscErrorCode MatStoreValues(Mat);
1117: PETSC_EXTERN PetscErrorCode MatRetrieveValues(Mat);
1119: PETSC_EXTERN PetscErrorCode MatDAADSetCtx(Mat,void*);
1121: PETSC_EXTERN PetscErrorCode MatFindNonzeroRows(Mat,IS*);
1122: PETSC_EXTERN PetscErrorCode MatFindZeroRows(Mat,IS*);
1123: /*
1124: These routines are not usually accessed directly, rather solving is
1125: done through the KSP and PC interfaces.
1126: */
1128: /*J
1129: MatOrderingType - String with the name of a PETSc matrix ordering
1131: Level: beginner
1133: Notes:
1134: If MATORDERINGEXTERNAL is used then PETSc does not compute an ordering and utilizes one built into the factorization package
1136: .seealso: MatGetOrdering()
1137: J*/
1138: typedef const char* MatOrderingType;
1139: #define MATORDERINGNATURAL "natural"
1140: #define MATORDERINGND "nd"
1141: #define MATORDERING1WD "1wd"
1142: #define MATORDERINGRCM "rcm"
1143: #define MATORDERINGQMD "qmd"
1144: #define MATORDERINGROWLENGTH "rowlength"
1145: #define MATORDERINGWBM "wbm"
1146: #define MATORDERINGSPECTRAL "spectral"
1147: #define MATORDERINGAMD "amd" /* only works if UMFPACK is installed with PETSc */
1148: #define MATORDERINGNATURAL_OR_ND "natural_or_nd" /* special coase used for Cholesky and ICC, allows ND when AIJ matrix is used but Natural when SBAIJ is used */
1149: #define MATORDERINGEXTERNAL "external" /* uses an ordering type internal to the factorization package */
1151: PETSC_EXTERN PetscErrorCode MatGetOrdering(Mat,MatOrderingType,IS*,IS*);
1152: PETSC_EXTERN PetscErrorCode MatGetOrderingList(PetscFunctionList*);
1153: PETSC_EXTERN PetscErrorCode MatOrderingRegister(const char[],PetscErrorCode(*)(Mat,MatOrderingType,IS*,IS*));
1154: PETSC_EXTERN PetscFunctionList MatOrderingList;
1156: PETSC_EXTERN PetscErrorCode MatReorderForNonzeroDiagonal(Mat,PetscReal,IS,IS);
1157: PETSC_EXTERN PetscErrorCode MatCreateLaplacian(Mat,PetscReal,PetscBool,Mat*);
1159: /*S
1160: MatFactorShiftType - Numeric Shift for factorizations
1162: Level: beginner
1164: .seealso: MatGetFactor()
1165: S*/
1166: typedef enum {MAT_SHIFT_NONE,MAT_SHIFT_NONZERO,MAT_SHIFT_POSITIVE_DEFINITE,MAT_SHIFT_INBLOCKS} MatFactorShiftType;
1167: PETSC_EXTERN const char *const MatFactorShiftTypes[];
1168: PETSC_EXTERN const char *const MatFactorShiftTypesDetail[];
1170: /*S
1171: MatFactorError - indicates what type of error was generated in a matrix factorization
1173: Level: beginner
1175: Developer Notes:
1176: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
1178: .seealso: MatGetFactor()
1179: S*/
1180: typedef enum {MAT_FACTOR_NOERROR,MAT_FACTOR_STRUCT_ZEROPIVOT,MAT_FACTOR_NUMERIC_ZEROPIVOT,MAT_FACTOR_OUTMEMORY,MAT_FACTOR_OTHER} MatFactorError;
1182: PETSC_EXTERN PetscErrorCode MatFactorGetError(Mat,MatFactorError*);
1183: PETSC_EXTERN PetscErrorCode MatFactorClearError(Mat);
1184: PETSC_EXTERN PetscErrorCode MatFactorGetErrorZeroPivot(Mat,PetscReal*,PetscInt*);
1186: /*S
1187: MatFactorInfo - Data passed into the matrix factorization routines, and information about the resulting factorization
1189: In Fortran these are simply double precision arrays of size MAT_FACTORINFO_SIZE, that is use
1190: $ MatFactorInfo info(MAT_FACTORINFO_SIZE)
1192: Notes:
1193: These are not usually directly used by users, instead use PC type of LU, ILU, CHOLESKY or ICC.
1195: You can use MatFactorInfoInitialize() to set default values.
1197: Level: developer
1199: .seealso: MatLUFactorSymbolic(), MatILUFactorSymbolic(), MatCholeskyFactorSymbolic(), MatICCFactorSymbolic(), MatICCFactor(),
1200: MatFactorInfoInitialize()
1202: S*/
1203: typedef struct {
1204: PetscReal diagonal_fill; /* force diagonal to fill in if initially not filled */
1205: PetscReal usedt;
1206: PetscReal dt; /* drop tolerance */
1207: PetscReal dtcol; /* tolerance for pivoting */
1208: PetscReal dtcount; /* maximum nonzeros to be allowed per row */
1209: PetscReal fill; /* expected fill, nonzeros in factored matrix/nonzeros in original matrix */
1210: PetscReal levels; /* ICC/ILU(levels) */
1211: PetscReal pivotinblocks; /* for BAIJ and SBAIJ matrices pivot in factorization on blocks, default 1.0
1212: factorization may be faster if do not pivot */
1213: PetscReal zeropivot; /* pivot is called zero if less than this */
1214: PetscReal shifttype; /* type of shift added to matrix factor to prevent zero pivots */
1215: PetscReal shiftamount; /* how large the shift is */
1216: } MatFactorInfo;
1218: PETSC_EXTERN PetscErrorCode MatFactorInfoInitialize(MatFactorInfo*);
1219: PETSC_EXTERN PetscErrorCode MatCholeskyFactor(Mat,IS,const MatFactorInfo*);
1220: PETSC_EXTERN PetscErrorCode MatCholeskyFactorSymbolic(Mat,Mat,IS,const MatFactorInfo*);
1221: PETSC_EXTERN PetscErrorCode MatCholeskyFactorNumeric(Mat,Mat,const MatFactorInfo*);
1222: PETSC_EXTERN PetscErrorCode MatLUFactor(Mat,IS,IS,const MatFactorInfo*);
1223: PETSC_EXTERN PetscErrorCode MatILUFactor(Mat,IS,IS,const MatFactorInfo*);
1224: PETSC_EXTERN PetscErrorCode MatLUFactorSymbolic(Mat,Mat,IS,IS,const MatFactorInfo*);
1225: PETSC_EXTERN PetscErrorCode MatILUFactorSymbolic(Mat,Mat,IS,IS,const MatFactorInfo*);
1226: PETSC_EXTERN PetscErrorCode MatICCFactorSymbolic(Mat,Mat,IS,const MatFactorInfo*);
1227: PETSC_EXTERN PetscErrorCode MatICCFactor(Mat,IS,const MatFactorInfo*);
1228: PETSC_EXTERN PetscErrorCode MatLUFactorNumeric(Mat,Mat,const MatFactorInfo*);
1229: PETSC_EXTERN PetscErrorCode MatGetInertia(Mat,PetscInt*,PetscInt*,PetscInt*);
1230: PETSC_EXTERN PetscErrorCode MatSolve(Mat,Vec,Vec);
1231: PETSC_EXTERN PetscErrorCode MatForwardSolve(Mat,Vec,Vec);
1232: PETSC_EXTERN PetscErrorCode MatBackwardSolve(Mat,Vec,Vec);
1233: PETSC_EXTERN PetscErrorCode MatSolveAdd(Mat,Vec,Vec,Vec);
1234: PETSC_EXTERN PetscErrorCode MatSolveTranspose(Mat,Vec,Vec);
1235: PETSC_EXTERN PetscErrorCode MatSolveTransposeAdd(Mat,Vec,Vec,Vec);
1236: PETSC_EXTERN PetscErrorCode MatSolves(Mat,Vecs,Vecs);
1237: PETSC_EXTERN PetscErrorCode MatSetUnfactored(Mat);
1239: typedef enum {MAT_FACTOR_SCHUR_UNFACTORED, MAT_FACTOR_SCHUR_FACTORED, MAT_FACTOR_SCHUR_INVERTED} MatFactorSchurStatus;
1240: PETSC_EXTERN PetscErrorCode MatFactorSetSchurIS(Mat,IS);
1241: PETSC_EXTERN PetscErrorCode MatFactorGetSchurComplement(Mat,Mat*,MatFactorSchurStatus*);
1242: PETSC_EXTERN PetscErrorCode MatFactorRestoreSchurComplement(Mat,Mat*,MatFactorSchurStatus);
1243: PETSC_EXTERN PetscErrorCode MatFactorInvertSchurComplement(Mat);
1244: PETSC_EXTERN PetscErrorCode MatFactorCreateSchurComplement(Mat,Mat*,MatFactorSchurStatus*);
1245: PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplement(Mat,Vec,Vec);
1246: PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplementTranspose(Mat,Vec,Vec);
1247: PETSC_EXTERN PetscErrorCode MatFactorFactorizeSchurComplement(Mat);
1249: /*E
1250: MatSORType - What type of (S)SOR to perform
1252: Level: beginner
1254: May be bitwise ORd together
1256: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
1258: MatSORType may be bitwise ORd together, so do not change the numbers
1260: .seealso: MatSOR()
1261: E*/
1262: typedef enum {SOR_FORWARD_SWEEP=1,SOR_BACKWARD_SWEEP=2,SOR_SYMMETRIC_SWEEP=3,
1263: SOR_LOCAL_FORWARD_SWEEP=4,SOR_LOCAL_BACKWARD_SWEEP=8,
1264: SOR_LOCAL_SYMMETRIC_SWEEP=12,SOR_ZERO_INITIAL_GUESS=16,
1265: SOR_EISENSTAT=32,SOR_APPLY_UPPER=64,SOR_APPLY_LOWER=128} MatSORType;
1266: PETSC_EXTERN PetscErrorCode MatSOR(Mat,Vec,PetscReal,MatSORType,PetscReal,PetscInt,PetscInt,Vec);
1268: /*
1269: These routines are for efficiently computing Jacobians via finite differences.
1270: */
1272: /*S
1273: MatColoring - Object for managing the coloring of matrices.
1275: Level: beginner
1277: Notes:
1278: Coloring of matrices can be computed directly from the sparse matrix nonzero structure via the MatColoring object or from the mesh from which the
1279: matrix comes from via DMCreateColoring(). In general using the mesh produces a more optimal coloring (fewer colors).
1281: Once a coloring is available MatFDColoringCreate() creates an object that can be used to efficiently compute Jacobians using that coloring. This
1282: same object can also be used to efficiently convert data created by Automatic Differentation tools to PETSc sparse matrices.
1284: .seealso: MatFDColoringCreate(), MatColoringWeightType, ISColoring, MatFDColoring, DMCreateColoring(), MatColoringCreate(), MatOrdering, MatPartitioning
1285: S*/
1286: typedef struct _p_MatColoring* MatColoring;
1288: /*J
1289: MatColoringType - String with the name of a PETSc matrix coloring
1291: Level: beginner
1293: .seealso: MatColoringSetType(), MatColoring
1294: J*/
1295: typedef const char* MatColoringType;
1296: #define MATCOLORINGJP "jp"
1297: #define MATCOLORINGPOWER "power"
1298: #define MATCOLORINGNATURAL "natural"
1299: #define MATCOLORINGSL "sl"
1300: #define MATCOLORINGLF "lf"
1301: #define MATCOLORINGID "id"
1302: #define MATCOLORINGGREEDY "greedy"
1304: /*E
1305: MatColoringWeightType - Type of weight scheme
1307: Not Collective
1309: + MAT_COLORING_RANDOM - Random weights
1310: . MAT_COLORING_LEXICAL - Lexical weighting based upon global numbering.
1311: - MAT_COLORING_LF - Last-first weighting.
1313: Level: intermediate
1315: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
1317: .seealso: MatColoring, MatColoringCreate()
1318: E*/
1319: typedef enum {MAT_COLORING_WEIGHT_RANDOM,MAT_COLORING_WEIGHT_LEXICAL,MAT_COLORING_WEIGHT_LF,MAT_COLORING_WEIGHT_SL} MatColoringWeightType;
1321: PETSC_EXTERN PetscErrorCode MatColoringCreate(Mat,MatColoring*);
1322: PETSC_EXTERN PetscErrorCode MatColoringGetDegrees(Mat,PetscInt,PetscInt*);
1323: PETSC_EXTERN PetscErrorCode MatColoringDestroy(MatColoring*);
1324: PETSC_EXTERN PetscErrorCode MatColoringView(MatColoring,PetscViewer);
1325: PETSC_EXTERN PetscErrorCode MatColoringSetType(MatColoring,MatColoringType);
1326: PETSC_EXTERN PetscErrorCode MatColoringSetFromOptions(MatColoring);
1327: PETSC_EXTERN PetscErrorCode MatColoringSetDistance(MatColoring,PetscInt);
1328: PETSC_EXTERN PetscErrorCode MatColoringGetDistance(MatColoring,PetscInt*);
1329: PETSC_EXTERN PetscErrorCode MatColoringSetMaxColors(MatColoring,PetscInt);
1330: PETSC_EXTERN PetscErrorCode MatColoringGetMaxColors(MatColoring,PetscInt*);
1331: PETSC_EXTERN PetscErrorCode MatColoringApply(MatColoring,ISColoring*);
1332: PETSC_EXTERN PetscErrorCode MatColoringRegister(const char[],PetscErrorCode(*)(MatColoring));
1333: PETSC_EXTERN PetscErrorCode MatColoringPatch(Mat,PetscInt,PetscInt,ISColoringValue[],ISColoring*);
1334: PETSC_EXTERN PetscErrorCode MatColoringSetWeightType(MatColoring,MatColoringWeightType);
1335: PETSC_EXTERN PetscErrorCode MatColoringSetWeights(MatColoring,PetscReal*,PetscInt*);
1336: PETSC_EXTERN PetscErrorCode MatColoringCreateWeights(MatColoring,PetscReal **,PetscInt **lperm);
1337: PETSC_EXTERN PetscErrorCode MatColoringTest(MatColoring,ISColoring);
1338: PETSC_DEPRECATED_FUNCTION("Use MatColoringTest() (since version 3.10)") PETSC_STATIC_INLINE PetscErrorCode MatColoringTestValid(MatColoring matcoloring,ISColoring iscoloring) {return MatColoringTest(matcoloring,iscoloring);}
1339: PETSC_EXTERN PetscErrorCode MatISColoringTest(Mat,ISColoring);
1341: /*S
1342: MatFDColoring - Object for computing a sparse Jacobian via finite differences
1343: and coloring
1345: Level: beginner
1347: Notes:
1348: This object is creating utilizing a coloring provided by the MatColoring object or DMCreateColoring()
1350: .seealso: MatFDColoringCreate(), MatColoring, DMCreateColoring()
1351: S*/
1352: typedef struct _p_MatFDColoring* MatFDColoring;
1354: PETSC_EXTERN PetscErrorCode MatFDColoringCreate(Mat,ISColoring,MatFDColoring *);
1355: PETSC_EXTERN PetscErrorCode MatFDColoringDestroy(MatFDColoring*);
1356: PETSC_EXTERN PetscErrorCode MatFDColoringView(MatFDColoring,PetscViewer);
1357: PETSC_EXTERN PetscErrorCode MatFDColoringSetFunction(MatFDColoring,PetscErrorCode (*)(void),void*);
1358: PETSC_EXTERN PetscErrorCode MatFDColoringGetFunction(MatFDColoring,PetscErrorCode (**)(void),void**);
1359: PETSC_EXTERN PetscErrorCode MatFDColoringSetParameters(MatFDColoring,PetscReal,PetscReal);
1360: PETSC_EXTERN PetscErrorCode MatFDColoringSetFromOptions(MatFDColoring);
1361: PETSC_EXTERN PetscErrorCode MatFDColoringApply(Mat,MatFDColoring,Vec,void *);
1362: PETSC_EXTERN PetscErrorCode MatFDColoringSetF(MatFDColoring,Vec);
1363: PETSC_EXTERN PetscErrorCode MatFDColoringGetPerturbedColumns(MatFDColoring,PetscInt*,const PetscInt*[]);
1364: PETSC_EXTERN PetscErrorCode MatFDColoringSetUp(Mat,ISColoring,MatFDColoring);
1365: PETSC_EXTERN PetscErrorCode MatFDColoringSetBlockSize(MatFDColoring,PetscInt,PetscInt);
1366: PETSC_EXTERN PetscErrorCode MatFDColoringSetValues(Mat,MatFDColoring,const PetscScalar*);
1368: /*S
1369: MatTransposeColoring - Object for computing a sparse matrix product C=A*B^T via coloring
1371: Level: beginner
1373: .seealso: MatTransposeColoringCreate()
1374: S*/
1375: typedef struct _p_MatTransposeColoring* MatTransposeColoring;
1377: PETSC_EXTERN PetscErrorCode MatTransposeColoringCreate(Mat,ISColoring,MatTransposeColoring *);
1378: PETSC_EXTERN PetscErrorCode MatTransColoringApplySpToDen(MatTransposeColoring,Mat,Mat);
1379: PETSC_EXTERN PetscErrorCode MatTransColoringApplyDenToSp(MatTransposeColoring,Mat,Mat);
1380: PETSC_EXTERN PetscErrorCode MatTransposeColoringDestroy(MatTransposeColoring*);
1382: /*
1383: These routines are for partitioning matrices: currently used only
1384: for adjacency matrix, MatCreateMPIAdj().
1385: */
1387: /*S
1388: MatPartitioning - Object for managing the partitioning of a matrix or graph
1390: Level: beginner
1392: Notes:
1393: There is also a PetscPartitioner object that provides the same functionality. It can utilize the MatPartitioning operations
1394: via PetscPartitionerSetType(p,PETSCPARTITIONERMATPARTITIONING)
1396: Developers Note:
1397: It is an extra maintainance and documentation cost to have two objects with the same functionality.
1399: .seealso: MatPartitioningCreate(), MatPartitioningType, MatColoring, MatGetOrdering()
1400: S*/
1401: typedef struct _p_MatPartitioning* MatPartitioning;
1403: /*J
1404: MatPartitioningType - String with the name of a PETSc matrix partitioning
1406: Level: beginner
1407: dm
1408: .seealso: MatPartitioningCreate(), MatPartitioning
1409: J*/
1410: typedef const char* MatPartitioningType;
1411: #define MATPARTITIONINGCURRENT "current"
1412: #define MATPARTITIONINGAVERAGE "average"
1413: #define MATPARTITIONINGSQUARE "square"
1414: #define MATPARTITIONINGPARMETIS "parmetis"
1415: #define MATPARTITIONINGCHACO "chaco"
1416: #define MATPARTITIONINGPARTY "party"
1417: #define MATPARTITIONINGPTSCOTCH "ptscotch"
1418: #define MATPARTITIONINGHIERARCH "hierarch"
1420: PETSC_EXTERN PetscErrorCode MatPartitioningCreate(MPI_Comm,MatPartitioning*);
1421: PETSC_EXTERN PetscErrorCode MatPartitioningSetType(MatPartitioning,MatPartitioningType);
1422: PETSC_EXTERN PetscErrorCode MatPartitioningSetNParts(MatPartitioning,PetscInt);
1423: PETSC_EXTERN PetscErrorCode MatPartitioningSetAdjacency(MatPartitioning,Mat);
1424: PETSC_EXTERN PetscErrorCode MatPartitioningSetVertexWeights(MatPartitioning,const PetscInt[]);
1425: PETSC_EXTERN PetscErrorCode MatPartitioningSetPartitionWeights(MatPartitioning,const PetscReal []);
1426: PETSC_EXTERN PetscErrorCode MatPartitioningSetUseEdgeWeights(MatPartitioning,PetscBool);
1427: PETSC_EXTERN PetscErrorCode MatPartitioningGetUseEdgeWeights(MatPartitioning,PetscBool*);
1428: PETSC_EXTERN PetscErrorCode MatPartitioningApply(MatPartitioning,IS*);
1429: PETSC_EXTERN PetscErrorCode MatPartitioningImprove(MatPartitioning,IS*);
1430: PETSC_EXTERN PetscErrorCode MatPartitioningViewImbalance(MatPartitioning,IS);
1431: PETSC_EXTERN PetscErrorCode MatPartitioningApplyND(MatPartitioning,IS*);
1432: PETSC_EXTERN PetscErrorCode MatPartitioningDestroy(MatPartitioning*);
1433: PETSC_EXTERN PetscErrorCode MatPartitioningRegister(const char[],PetscErrorCode (*)(MatPartitioning));
1434: PETSC_EXTERN PetscErrorCode MatPartitioningView(MatPartitioning,PetscViewer);
1435: PETSC_EXTERN PetscErrorCode MatPartitioningViewFromOptions(MatPartitioning,PetscObject,const char[]);
1436: PETSC_EXTERN PetscErrorCode MatPartitioningSetFromOptions(MatPartitioning);
1437: PETSC_EXTERN PetscErrorCode MatPartitioningGetType(MatPartitioning,MatPartitioningType*);
1439: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetRepartition(MatPartitioning part);
1440: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetCoarseSequential(MatPartitioning);
1441: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisGetEdgeCut(MatPartitioning, PetscInt *);
1443: typedef enum { MP_CHACO_MULTILEVEL=1,MP_CHACO_SPECTRAL=2,MP_CHACO_LINEAR=4,MP_CHACO_RANDOM=5,MP_CHACO_SCATTERED=6 } MPChacoGlobalType;
1444: PETSC_EXTERN const char *const MPChacoGlobalTypes[];
1445: typedef enum { MP_CHACO_KERNIGHAN=1,MP_CHACO_NONE=2 } MPChacoLocalType;
1446: PETSC_EXTERN const char *const MPChacoLocalTypes[];
1447: typedef enum { MP_CHACO_LANCZOS=0,MP_CHACO_RQI=1 } MPChacoEigenType;
1448: PETSC_EXTERN const char *const MPChacoEigenTypes[];
1450: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetGlobal(MatPartitioning,MPChacoGlobalType);
1451: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetGlobal(MatPartitioning,MPChacoGlobalType*);
1452: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetLocal(MatPartitioning,MPChacoLocalType);
1453: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetLocal(MatPartitioning,MPChacoLocalType*);
1454: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetCoarseLevel(MatPartitioning,PetscReal);
1455: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenSolver(MatPartitioning,MPChacoEigenType);
1456: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenSolver(MatPartitioning,MPChacoEigenType*);
1457: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenTol(MatPartitioning,PetscReal);
1458: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenTol(MatPartitioning,PetscReal*);
1459: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenNumber(MatPartitioning,PetscInt);
1460: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenNumber(MatPartitioning,PetscInt*);
1462: #define MP_PARTY_OPT "opt"
1463: #define MP_PARTY_LIN "lin"
1464: #define MP_PARTY_SCA "sca"
1465: #define MP_PARTY_RAN "ran"
1466: #define MP_PARTY_GBF "gbf"
1467: #define MP_PARTY_GCF "gcf"
1468: #define MP_PARTY_BUB "bub"
1469: #define MP_PARTY_DEF "def"
1470: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetGlobal(MatPartitioning,const char*);
1471: #define MP_PARTY_HELPFUL_SETS "hs"
1472: #define MP_PARTY_KERNIGHAN_LIN "kl"
1473: #define MP_PARTY_NONE "no"
1474: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetLocal(MatPartitioning,const char*);
1475: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetCoarseLevel(MatPartitioning,PetscReal);
1476: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetBipart(MatPartitioning,PetscBool);
1477: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetMatchOptimization(MatPartitioning,PetscBool);
1479: typedef enum { MP_PTSCOTCH_DEFAULT,MP_PTSCOTCH_QUALITY,MP_PTSCOTCH_SPEED,MP_PTSCOTCH_BALANCE,MP_PTSCOTCH_SAFETY,MP_PTSCOTCH_SCALABILITY } MPPTScotchStrategyType;
1480: PETSC_EXTERN const char *const MPPTScotchStrategyTypes[];
1482: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetImbalance(MatPartitioning,PetscReal);
1483: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetImbalance(MatPartitioning,PetscReal*);
1484: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetStrategy(MatPartitioning,MPPTScotchStrategyType);
1485: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetStrategy(MatPartitioning,MPPTScotchStrategyType*);
1487: /*
1488: * hierarchical partitioning
1489: */
1490: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetFineparts(MatPartitioning,IS*);
1491: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetCoarseparts(MatPartitioning,IS*);
1492: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNcoarseparts(MatPartitioning,PetscInt);
1493: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNfineparts(MatPartitioning, PetscInt);
1495: PETSC_EXTERN PetscErrorCode MatMeshToVertexGraph(Mat,PetscInt,Mat*);
1496: PETSC_EXTERN PetscErrorCode MatMeshToCellGraph(Mat,PetscInt,Mat*);
1498: /*
1499: If you add entries here you must also add them to include/petscmat.h
1500: and src/mat/f90-mod/petscmat.h
1501: */
1502: typedef enum { MATOP_SET_VALUES=0,
1503: MATOP_GET_ROW=1,
1504: MATOP_RESTORE_ROW=2,
1505: MATOP_MULT=3,
1506: MATOP_MULT_ADD=4,
1507: MATOP_MULT_TRANSPOSE=5,
1508: MATOP_MULT_TRANSPOSE_ADD=6,
1509: MATOP_SOLVE=7,
1510: MATOP_SOLVE_ADD=8,
1511: MATOP_SOLVE_TRANSPOSE=9,
1512: MATOP_SOLVE_TRANSPOSE_ADD=10,
1513: MATOP_LUFACTOR=11,
1514: MATOP_CHOLESKYFACTOR=12,
1515: MATOP_SOR=13,
1516: MATOP_TRANSPOSE=14,
1517: MATOP_GETINFO=15,
1518: MATOP_EQUAL=16,
1519: MATOP_GET_DIAGONAL=17,
1520: MATOP_DIAGONAL_SCALE=18,
1521: MATOP_NORM=19,
1522: MATOP_ASSEMBLY_BEGIN=20,
1523: MATOP_ASSEMBLY_END=21,
1524: MATOP_SET_OPTION=22,
1525: MATOP_ZERO_ENTRIES=23,
1526: MATOP_ZERO_ROWS=24,
1527: MATOP_LUFACTOR_SYMBOLIC=25,
1528: MATOP_LUFACTOR_NUMERIC=26,
1529: MATOP_CHOLESKY_FACTOR_SYMBOLIC=27,
1530: MATOP_CHOLESKY_FACTOR_NUMERIC=28,
1531: MATOP_SETUP_PREALLOCATION=29,
1532: MATOP_ILUFACTOR_SYMBOLIC=30,
1533: MATOP_ICCFACTOR_SYMBOLIC=31,
1534: MATOP_GET_DIAGONAL_BLOCK=32,
1535: MATOP_FREE_INTER_STRUCT=33,
1536: MATOP_DUPLICATE=34,
1537: MATOP_FORWARD_SOLVE=35,
1538: MATOP_BACKWARD_SOLVE=36,
1539: MATOP_ILUFACTOR=37,
1540: MATOP_ICCFACTOR=38,
1541: MATOP_AXPY=39,
1542: MATOP_CREATE_SUBMATRICES=40,
1543: MATOP_INCREASE_OVERLAP=41,
1544: MATOP_GET_VALUES=42,
1545: MATOP_COPY=43,
1546: MATOP_GET_ROW_MAX=44,
1547: MATOP_SCALE=45,
1548: MATOP_SHIFT=46,
1549: MATOP_DIAGONAL_SET=47,
1550: MATOP_ZERO_ROWS_COLUMNS=48,
1551: MATOP_SET_RANDOM=49,
1552: MATOP_GET_ROW_IJ=50,
1553: MATOP_RESTORE_ROW_IJ=51,
1554: MATOP_GET_COLUMN_IJ=52,
1555: MATOP_RESTORE_COLUMN_IJ=53,
1556: MATOP_FDCOLORING_CREATE=54,
1557: MATOP_COLORING_PATCH=55,
1558: MATOP_SET_UNFACTORED=56,
1559: MATOP_PERMUTE=57,
1560: MATOP_SET_VALUES_BLOCKED=58,
1561: MATOP_CREATE_SUBMATRIX=59,
1562: MATOP_DESTROY=60,
1563: MATOP_VIEW=61,
1564: MATOP_CONVERT_FROM=62,
1565: MATOP_MATMAT_MULT=63,
1566: MATOP_MATMAT_MULT_SYMBOLIC=64,
1567: MATOP_MATMAT_MULT_NUMERIC=65,
1568: MATOP_SET_LOCAL_TO_GLOBAL_MAP=66,
1569: MATOP_SET_VALUES_LOCAL=67,
1570: MATOP_ZERO_ROWS_LOCAL=68,
1571: MATOP_GET_ROW_MAX_ABS=69,
1572: MATOP_GET_ROW_MIN_ABS=70,
1573: MATOP_CONVERT=71,
1574: MATOP_SET_COLORING=72,
1575: /* MATOP_PLACEHOLDER_73=73, */
1576: MATOP_SET_VALUES_ADIFOR=74,
1577: MATOP_FD_COLORING_APPLY=75,
1578: MATOP_SET_FROM_OPTIONS=76,
1579: MATOP_MULT_CONSTRAINED=77,
1580: MATOP_MULT_TRANSPOSE_CONSTRAIN=78,
1581: MATOP_FIND_ZERO_DIAGONALS=79,
1582: MATOP_MULT_MULTIPLE=80,
1583: MATOP_SOLVE_MULTIPLE=81,
1584: MATOP_GET_INERTIA=82,
1585: MATOP_LOAD=83,
1586: MATOP_IS_SYMMETRIC=84,
1587: MATOP_IS_HERMITIAN=85,
1588: MATOP_IS_STRUCTURALLY_SYMMETRIC=86,
1589: MATOP_SET_VALUES_BLOCKEDLOCAL=87,
1590: MATOP_CREATE_VECS=88,
1591: MATOP_MAT_MULT=89,
1592: MATOP_MAT_MULT_SYMBOLIC=90,
1593: MATOP_MAT_MULT_NUMERIC=91,
1594: MATOP_PTAP=92,
1595: MATOP_PTAP_SYMBOLIC=93,
1596: MATOP_PTAP_NUMERIC=94,
1597: MATOP_MAT_TRANSPOSE_MULT=95,
1598: MATOP_MAT_TRANSPOSE_MULT_SYMBO=96,
1599: MATOP_MAT_TRANSPOSE_MULT_NUMER=97,
1600: /* MATOP_PLACEHOLDER_98=98, */
1601: MATOP_PRODUCTSETFROMOPTIONS=99,
1602: MATOP_PRODUCTSYMBOLIC=100,
1603: MATOP_PRODUCTNUMERIC=101,
1604: MATOP_CONJUGATE=102,
1605: /* MATOP_PLACEHOLDER_103=103, */
1606: MATOP_SET_VALUES_ROW=104,
1607: MATOP_REAL_PART=105,
1608: MATOP_IMAGINARY_PART=106,
1609: MATOP_GET_ROW_UPPER_TRIANGULAR=107,
1610: MATOP_RESTORE_ROW_UPPER_TRIANG=108,
1611: MATOP_MAT_SOLVE=109,
1612: MATOP_MAT_SOLVE_TRANSPOSE=110,
1613: MATOP_GET_ROW_MIN=111,
1614: MATOP_GET_COLUMN_VECTOR=112,
1615: MATOP_MISSING_DIAGONAL=113,
1616: MATOP_GET_SEQ_NONZERO_STRUCTUR=114,
1617: MATOP_CREATE=115,
1618: MATOP_GET_GHOSTS=116,
1619: MATOP_GET_LOCAL_SUB_MATRIX=117,
1620: MATOP_RESTORE_LOCALSUB_MATRIX=118,
1621: MATOP_MULT_DIAGONAL_BLOCK=119,
1622: MATOP_HERMITIAN_TRANSPOSE=120,
1623: MATOP_MULT_HERMITIAN_TRANSPOSE=121,
1624: MATOP_MULT_HERMITIAN_TRANS_ADD=122,
1625: MATOP_GET_MULTI_PROC_BLOCK=123,
1626: MATOP_FIND_NONZERO_ROWS=124,
1627: MATOP_GET_COLUMN_NORMS=125,
1628: MATOP_INVERT_BLOCK_DIAGONAL=126,
1629: /* MATOP_PLACEHOLDER_127=127, */
1630: MATOP_CREATE_SUB_MATRICES_MPI=128,
1631: MATOP_SET_VALUES_BATCH=129,
1632: MATOP_TRANSPOSE_MAT_MULT=130,
1633: MATOP_TRANSPOSE_MAT_MULT_SYMBO=131,
1634: MATOP_TRANSPOSE_MAT_MULT_NUMER=132,
1635: MATOP_TRANSPOSE_COLORING_CREAT=133,
1636: MATOP_TRANS_COLORING_APPLY_SPT=134,
1637: MATOP_TRANS_COLORING_APPLY_DEN=135,
1638: MATOP_RART=136,
1639: MATOP_RART_SYMBOLIC=137,
1640: MATOP_RART_NUMERIC=138,
1641: MATOP_SET_BLOCK_SIZES=139,
1642: MATOP_AYPX=140,
1643: MATOP_RESIDUAL=141,
1644: MATOP_FDCOLORING_SETUP=142,
1645: MATOP_MPICONCATENATESEQ=144,
1646: MATOP_DESTROYSUBMATRICES=145,
1647: MATOP_TRANSPOSE_SOLVE=146,
1648: MATOP_GET_VALUES_LOCAL=147
1649: } MatOperation;
1650: PETSC_EXTERN PetscErrorCode MatSetOperation(Mat,MatOperation,void(*)(void));
1651: PETSC_EXTERN PetscErrorCode MatGetOperation(Mat,MatOperation,void(**)(void));
1652: PETSC_EXTERN PetscErrorCode MatHasOperation(Mat,MatOperation,PetscBool*);
1653: PETSC_EXTERN PetscErrorCode MatHasCongruentLayouts(Mat,PetscBool*);
1654: PETSC_DEPRECATED_FUNCTION("Use MatProductClear() (since version 3.14)") PETSC_STATIC_INLINE PetscErrorCode MatFreeIntermediateDataStructures(Mat A) {return MatProductClear(A);}
1655: PETSC_EXTERN PetscErrorCode MatShellSetOperation(Mat,MatOperation,void(*)(void));
1656: PETSC_EXTERN PetscErrorCode MatShellGetOperation(Mat,MatOperation,void(**)(void));
1657: PETSC_EXTERN PetscErrorCode MatShellSetContext(Mat,void*);
1658: PETSC_EXTERN PetscErrorCode MatShellSetVecType(Mat,VecType);
1659: PETSC_EXTERN PetscErrorCode MatShellTestMult(Mat,PetscErrorCode (*)(void*,Vec,Vec),Vec,void*,PetscBool*);
1660: PETSC_EXTERN PetscErrorCode MatShellTestMultTranspose(Mat,PetscErrorCode (*)(void*,Vec,Vec),Vec,void*,PetscBool*);
1661: PETSC_EXTERN PetscErrorCode MatShellSetManageScalingShifts(Mat);
1662: PETSC_EXTERN PetscErrorCode MatShellSetMatProductOperation(Mat,MatProductType,PetscErrorCode (*)(Mat,Mat,Mat,void**),PetscErrorCode (*)(Mat,Mat,Mat,void*),PetscErrorCode (*)(void*),MatType,MatType);
1663: PETSC_EXTERN PetscErrorCode MatIsShell(Mat,PetscBool*);
1665: /*
1666: Codes for matrices stored on disk. By default they are
1667: stored in a universal format. By changing the format with
1668: PetscViewerPushFormat(viewer,PETSC_VIEWER_NATIVE); the matrices will
1669: be stored in a way natural for the matrix, for example dense matrices
1670: would be stored as dense. Matrices stored this way may only be
1671: read into matrices of the same type.
1672: */
1673: #define MATRIX_BINARY_FORMAT_DENSE -1
1675: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetHashTableFactor(Mat,PetscReal);
1677: PETSC_EXTERN PetscErrorCode MatISSetLocalMatType(Mat,MatType);
1678: PETSC_EXTERN PetscErrorCode MatISSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1679: PETSC_EXTERN PetscErrorCode MatISStoreL2L(Mat,PetscBool);
1680: PETSC_EXTERN PetscErrorCode MatISFixLocalEmpty(Mat,PetscBool);
1681: PETSC_EXTERN PetscErrorCode MatISGetLocalMat(Mat,Mat*);
1682: PETSC_EXTERN PetscErrorCode MatISRestoreLocalMat(Mat,Mat*);
1683: PETSC_EXTERN PetscErrorCode MatISSetLocalMat(Mat,Mat);
1684: PETSC_EXTERN PETSC_DEPRECATED_FUNCTION("Use the MatConvert() interface (since version 3.10)") PetscErrorCode MatISGetMPIXAIJ(Mat,MatReuse,Mat*);
1686: /*S
1687: MatNullSpace - Object that removes a null space from a vector, i.e.
1688: orthogonalizes the vector to a subsapce
1690: Level: advanced
1692: Users manual sections:
1693: . Section 4.19 Solving Singular Systems
1695: .seealso: MatNullSpaceCreate()
1696: S*/
1697: typedef struct _p_MatNullSpace* MatNullSpace;
1699: PETSC_EXTERN PetscErrorCode MatNullSpaceCreate(MPI_Comm,PetscBool ,PetscInt,const Vec[],MatNullSpace*);
1700: PETSC_EXTERN PetscErrorCode MatNullSpaceSetFunction(MatNullSpace,PetscErrorCode (*)(MatNullSpace,Vec,void*),void*);
1701: PETSC_EXTERN PetscErrorCode MatNullSpaceDestroy(MatNullSpace*);
1702: PETSC_EXTERN PetscErrorCode MatNullSpaceRemove(MatNullSpace,Vec);
1703: PETSC_EXTERN PetscErrorCode MatGetNullSpace(Mat, MatNullSpace *);
1704: PETSC_EXTERN PetscErrorCode MatGetTransposeNullSpace(Mat, MatNullSpace *);
1705: PETSC_EXTERN PetscErrorCode MatSetTransposeNullSpace(Mat,MatNullSpace);
1706: PETSC_EXTERN PetscErrorCode MatSetNullSpace(Mat,MatNullSpace);
1707: PETSC_EXTERN PetscErrorCode MatSetNearNullSpace(Mat,MatNullSpace);
1708: PETSC_EXTERN PetscErrorCode MatGetNearNullSpace(Mat,MatNullSpace*);
1709: PETSC_EXTERN PetscErrorCode MatNullSpaceTest(MatNullSpace,Mat,PetscBool *);
1710: PETSC_EXTERN PetscErrorCode MatNullSpaceView(MatNullSpace,PetscViewer);
1711: PETSC_EXTERN PetscErrorCode MatNullSpaceGetVecs(MatNullSpace,PetscBool*,PetscInt*,const Vec**);
1712: PETSC_EXTERN PetscErrorCode MatNullSpaceCreateRigidBody(Vec,MatNullSpace*);
1714: PETSC_EXTERN PetscErrorCode MatReorderingSeqSBAIJ(Mat,IS);
1715: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetHashTableFactor(Mat,PetscReal);
1716: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetColumnIndices(Mat,PetscInt *);
1717: PETSC_EXTERN PetscErrorCode MatSeqBAIJInvertBlockDiagonal(Mat);
1719: PETSC_EXTERN PetscErrorCode MatCreateMAIJ(Mat,PetscInt,Mat*);
1720: PETSC_EXTERN PetscErrorCode MatMAIJRedimension(Mat,PetscInt,Mat*);
1721: PETSC_EXTERN PetscErrorCode MatMAIJGetAIJ(Mat,Mat*);
1723: PETSC_EXTERN PetscErrorCode MatComputeOperator(Mat,MatType,Mat*);
1724: PETSC_EXTERN PetscErrorCode MatComputeOperatorTranspose(Mat,MatType,Mat*);
1726: PETSC_DEPRECATED_FUNCTION("Use MatComputeOperator() (since version 3.12)") PETSC_STATIC_INLINE PetscErrorCode MatComputeExplicitOperator(Mat A,Mat* B) { return MatComputeOperator(A,NULL,B); }
1727: PETSC_DEPRECATED_FUNCTION("Use MatComputeOperatorTranspose() (since version 3.12)") PETSC_STATIC_INLINE PetscErrorCode MatComputeExplicitOperatorTranspose(Mat A,Mat* B) { return MatComputeOperatorTranspose(A,NULL,B); }
1729: PETSC_EXTERN PetscErrorCode MatCreateKAIJ(Mat,PetscInt,PetscInt,const PetscScalar[],const PetscScalar[],Mat*);
1730: PETSC_EXTERN PetscErrorCode MatKAIJGetAIJ(Mat,Mat*);
1731: PETSC_EXTERN PetscErrorCode MatKAIJGetS(Mat,PetscInt*,PetscInt*,PetscScalar**);
1732: PETSC_EXTERN PetscErrorCode MatKAIJGetSRead(Mat,PetscInt*,PetscInt*,const PetscScalar**);
1733: PETSC_EXTERN PetscErrorCode MatKAIJRestoreS(Mat,PetscScalar**);
1734: PETSC_EXTERN PetscErrorCode MatKAIJRestoreSRead(Mat,const PetscScalar**);
1735: PETSC_EXTERN PetscErrorCode MatKAIJGetT(Mat,PetscInt*,PetscInt*,PetscScalar**);
1736: PETSC_EXTERN PetscErrorCode MatKAIJGetTRead(Mat,PetscInt*,PetscInt*,const PetscScalar**);
1737: PETSC_EXTERN PetscErrorCode MatKAIJRestoreT(Mat,PetscScalar**);
1738: PETSC_EXTERN PetscErrorCode MatKAIJRestoreTRead(Mat,const PetscScalar**);
1739: PETSC_EXTERN PetscErrorCode MatKAIJSetAIJ(Mat,Mat);
1740: PETSC_EXTERN PetscErrorCode MatKAIJSetS(Mat,PetscInt,PetscInt,const PetscScalar[]);
1741: PETSC_EXTERN PetscErrorCode MatKAIJSetT(Mat,PetscInt,PetscInt,const PetscScalar[]);
1742: PETSC_EXTERN PetscErrorCode MatKAIJGetScaledIdentity(Mat,PetscBool*);
1744: PETSC_EXTERN PetscErrorCode MatDiagonalScaleLocal(Mat,Vec);
1746: PETSC_EXTERN PetscErrorCode MatCreateMFFD(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,Mat*);
1747: PETSC_EXTERN PetscErrorCode MatMFFDSetBase(Mat,Vec,Vec);
1748: PETSC_EXTERN PetscErrorCode MatMFFDSetFunction(Mat,PetscErrorCode(*)(void*,Vec,Vec),void*);
1749: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioni(Mat,PetscErrorCode (*)(void*,PetscInt,Vec,PetscScalar*));
1750: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioniBase(Mat,PetscErrorCode (*)(void*,Vec));
1751: PETSC_EXTERN PetscErrorCode MatMFFDSetHHistory(Mat,PetscScalar[],PetscInt);
1752: PETSC_EXTERN PetscErrorCode MatMFFDResetHHistory(Mat);
1753: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctionError(Mat,PetscReal);
1754: PETSC_EXTERN PetscErrorCode MatMFFDSetPeriod(Mat,PetscInt);
1755: PETSC_EXTERN PetscErrorCode MatMFFDGetH(Mat,PetscScalar *);
1756: PETSC_EXTERN PetscErrorCode MatMFFDSetOptionsPrefix(Mat,const char[]);
1757: PETSC_EXTERN PetscErrorCode MatMFFDCheckPositivity(void*,Vec,Vec,PetscScalar*);
1758: PETSC_EXTERN PetscErrorCode MatMFFDSetCheckh(Mat,PetscErrorCode (*)(void*,Vec,Vec,PetscScalar*),void*);
1760: /*S
1761: MatMFFD - A data structured used to manage the computation of the h differencing parameter for matrix-free
1762: Jacobian vector products
1764: Notes:
1765: MATMFFD is a specific MatType which uses the MatMFFD data structure
1767: MatMFFD*() methods actually take the Mat as their first argument. Not a MatMFFD data structure
1769: Level: developer
1771: .seealso: MATMFFD, MatCreateMFFD(), MatMFFDSetFuction(), MatMFFDSetType(), MatMFFDRegister()
1772: S*/
1773: typedef struct _p_MatMFFD* MatMFFD;
1775: /*J
1776: MatMFFDType - algorithm used to compute the h used in computing matrix-vector products via differencing of the function
1778: Level: beginner
1780: .seealso: MatMFFDSetType(), MatMFFDRegister()
1781: J*/
1782: typedef const char* MatMFFDType;
1783: #define MATMFFD_DS "ds"
1784: #define MATMFFD_WP "wp"
1786: PETSC_EXTERN PetscErrorCode MatMFFDSetType(Mat,MatMFFDType);
1787: PETSC_EXTERN PetscErrorCode MatMFFDRegister(const char[],PetscErrorCode (*)(MatMFFD));
1789: PETSC_EXTERN PetscErrorCode MatMFFDDSSetUmin(Mat,PetscReal);
1790: PETSC_EXTERN PetscErrorCode MatMFFDWPSetComputeNormU(Mat,PetscBool);
1792: PETSC_EXTERN PetscErrorCode MatFDColoringSetType(MatFDColoring,MatMFFDType);
1794: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutMatrix(PetscViewer, PetscInt, PetscInt, PetscReal *);
1795: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutCSRMatrix(PetscViewer, PetscInt, PetscInt, PetscInt *, PetscInt *, PetscReal *);
1797: #ifdef PETSC_HAVE_HARA
1798: PETSC_EXTERN_TYPEDEF typedef PetscScalar (*MatHaraKernel)(PetscInt,PetscReal[],PetscReal[],void*);
1799: PETSC_EXTERN PetscErrorCode MatCreateHaraFromKernel(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscReal[],MatHaraKernel,void*,PetscReal,PetscInt,PetscInt,Mat*);
1800: PETSC_EXTERN PetscErrorCode MatCreateHaraFromMat(Mat,PetscInt,const PetscReal[],PetscReal,PetscInt,PetscInt,PetscInt,PetscReal,Mat*);
1801: PETSC_EXTERN PetscErrorCode MatHaraSetSamplingMat(Mat,Mat,PetscInt,PetscReal);
1802: #endif
1804: /*
1805: PETSc interface to MUMPS
1806: */
1807: #ifdef PETSC_HAVE_MUMPS
1808: PETSC_EXTERN PetscErrorCode MatMumpsSetIcntl(Mat,PetscInt,PetscInt);
1809: PETSC_EXTERN PetscErrorCode MatMumpsGetIcntl(Mat,PetscInt,PetscInt*);
1810: PETSC_EXTERN PetscErrorCode MatMumpsSetCntl(Mat,PetscInt,PetscReal);
1811: PETSC_EXTERN PetscErrorCode MatMumpsGetCntl(Mat,PetscInt,PetscReal*);
1813: PETSC_EXTERN PetscErrorCode MatMumpsGetInfo(Mat,PetscInt,PetscInt*);
1814: PETSC_EXTERN PetscErrorCode MatMumpsGetInfog(Mat,PetscInt,PetscInt*);
1815: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfo(Mat,PetscInt,PetscReal*);
1816: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfog(Mat,PetscInt,PetscReal*);
1817: PETSC_EXTERN PetscErrorCode MatMumpsGetInverse(Mat,Mat);
1818: PETSC_EXTERN PetscErrorCode MatMumpsGetInverseTranspose(Mat,Mat);
1819: #endif
1821: /*
1822: PETSc interface to Mkl_Pardiso
1823: */
1824: #ifdef PETSC_HAVE_MKL_PARDISO
1825: PETSC_EXTERN PetscErrorCode MatMkl_PardisoSetCntl(Mat,PetscInt,PetscInt);
1826: #endif
1828: /*
1829: PETSc interface to Mkl_CPardiso
1830: */
1831: #ifdef PETSC_HAVE_MKL_CPARDISO
1832: PETSC_EXTERN PetscErrorCode MatMkl_CPardisoSetCntl(Mat,PetscInt,PetscInt);
1833: #endif
1835: /*
1836: PETSc interface to SUPERLU
1837: */
1838: #ifdef PETSC_HAVE_SUPERLU
1839: PETSC_EXTERN PetscErrorCode MatSuperluSetILUDropTol(Mat,PetscReal);
1840: #endif
1842: /*
1843: PETSc interface to SUPERLU_DIST
1844: */
1845: #ifdef PETSC_HAVE_SUPERLU_DIST
1846: PETSC_EXTERN PetscErrorCode MatSuperluDistGetDiagU(Mat,PetscScalar*);
1847: #endif
1849: /*
1850: PETSc interface to STRUMPACK
1851: */
1852: #ifdef PETSC_HAVE_STRUMPACK
1853: /*E
1854: MatSTRUMPACKReordering - sparsity reducing ordering to be used in STRUMPACK
1856: Level: intermediate
1857: E*/
1858: typedef enum {MAT_STRUMPACK_NATURAL=0,
1859: MAT_STRUMPACK_METIS=1,
1860: MAT_STRUMPACK_PARMETIS=2,
1861: MAT_STRUMPACK_SCOTCH=3,
1862: MAT_STRUMPACK_PTSCOTCH=4,
1863: MAT_STRUMPACK_RCM=5} MatSTRUMPACKReordering;
1864: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetReordering(Mat,MatSTRUMPACKReordering);
1865: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetColPerm(Mat,PetscBool);
1866: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSRelTol(Mat,PetscReal);
1867: PETSC_DEPRECATED_FUNCTION("Use MatSTRUMPACKSetHSSRelTol() (since version 3.9)") PETSC_STATIC_INLINE PetscErrorCode MatSTRUMPACKSetHSSRelCompTol(Mat mat,PetscReal rtol) {return MatSTRUMPACKSetHSSRelTol(mat,rtol);}
1868: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSAbsTol(Mat,PetscReal);
1869: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSMinSepSize(Mat,PetscInt);
1870: PETSC_DEPRECATED_FUNCTION("Use MatSTRUMPACKSetHSSMinSepSize() (since version 3.9)") PETSC_STATIC_INLINE PetscErrorCode MatSTRUMPACKSetHSSMinSize(Mat mat,PetscInt hssminsize) {return MatSTRUMPACKSetHSSMinSepSize(mat,hssminsize);}
1871: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSMaxRank(Mat,PetscInt);
1872: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSLeafSize(Mat,PetscInt);
1873: #endif
1876: PETSC_EXTERN PetscErrorCode MatBindToCPU(Mat,PetscBool);
1877: PETSC_DEPRECATED_FUNCTION("Use MatBindToCPU (since v3.13)") PETSC_STATIC_INLINE PetscErrorCode MatPinToCPU(Mat A,PetscBool flg) {return MatBindToCPU(A,flg);}
1879: #ifdef PETSC_HAVE_CUDA
1880: /*E
1881: MatCUSPARSEStorageFormat - indicates the storage format for CUSPARSE (GPU)
1882: matrices.
1884: Not Collective
1886: + MAT_CUSPARSE_CSR - Compressed Sparse Row
1887: . MAT_CUSPARSE_ELL - Ellpack (requires CUDA 4.2 or later).
1888: - MAT_CUSPARSE_HYB - Hybrid, a combination of Ellpack and Coordinate format (requires CUDA 4.2 or later).
1890: Level: intermediate
1892: Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
1894: .seealso: MatCUSPARSESetFormat(), MatCUSPARSEFormatOperation
1895: E*/
1897: typedef enum {MAT_CUSPARSE_CSR, MAT_CUSPARSE_ELL, MAT_CUSPARSE_HYB} MatCUSPARSEStorageFormat;
1899: /* these will be strings associated with enumerated type defined above */
1900: PETSC_EXTERN const char *const MatCUSPARSEStorageFormats[];
1902: /*E
1903: MatCUSPARSEFormatOperation - indicates the operation of CUSPARSE (GPU)
1904: matrices whose operation should use a particular storage format.
1906: Not Collective
1908: + MAT_CUSPARSE_MULT_DIAG - sets the storage format for the diagonal matrix in the parallel MatMult
1909: . MAT_CUSPARSE_MULT_OFFDIAG - sets the storage format for the offdiagonal matrix in the parallel MatMult
1910: . MAT_CUSPARSE_MULT - sets the storage format for the entire matrix in the serial (single GPU) MatMult
1911: - MAT_CUSPARSE_ALL - sets the storage format for all CUSPARSE (GPU) matrices
1913: Level: intermediate
1915: .seealso: MatCUSPARSESetFormat(), MatCUSPARSEStorageFormat
1916: E*/
1917: typedef enum {MAT_CUSPARSE_MULT_DIAG, MAT_CUSPARSE_MULT_OFFDIAG, MAT_CUSPARSE_MULT, MAT_CUSPARSE_ALL} MatCUSPARSEFormatOperation;
1919: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCUSPARSE(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
1920: PETSC_EXTERN PetscErrorCode MatCreateAIJCUSPARSE(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
1921: PETSC_EXTERN PetscErrorCode MatCUSPARSESetFormat(Mat,MatCUSPARSEFormatOperation,MatCUSPARSEStorageFormat);
1922: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSESetGenerateTranspose(Mat,PetscBool);
1924: PETSC_EXTERN PetscErrorCode MatCreateDenseCUDA(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscScalar[],Mat*);
1925: PETSC_EXTERN PetscErrorCode MatCreateSeqDenseCUDA(MPI_Comm,PetscInt,PetscInt,PetscScalar[],Mat*);
1926: PETSC_EXTERN PetscErrorCode MatMPIDenseCUDASetPreallocation(Mat,PetscScalar[]);
1927: PETSC_EXTERN PetscErrorCode MatSeqDenseCUDASetPreallocation(Mat,PetscScalar[]);
1928: PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArrayWrite(Mat,PetscScalar**);
1929: PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArrayRead(Mat,const PetscScalar**);
1930: PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArray(Mat,PetscScalar**);
1931: PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArrayWrite(Mat,PetscScalar**);
1932: PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArrayRead(Mat,const PetscScalar**);
1933: PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArray(Mat,PetscScalar**);
1934: PETSC_EXTERN PetscErrorCode MatDenseCUDAPlaceArray(Mat,const PetscScalar*);
1935: PETSC_EXTERN PetscErrorCode MatDenseCUDAReplaceArray(Mat,const PetscScalar*);
1936: PETSC_EXTERN PetscErrorCode MatDenseCUDAResetArray(Mat);
1937: #endif
1939: #if defined(PETSC_HAVE_VIENNACL)
1940: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJViennaCL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
1941: PETSC_EXTERN PetscErrorCode MatCreateAIJViennaCL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
1942: #endif
1944: /*
1945: PETSc interface to FFTW
1946: */
1947: #if defined(PETSC_HAVE_FFTW)
1948: PETSC_EXTERN PetscErrorCode VecScatterPetscToFFTW(Mat,Vec,Vec);
1949: PETSC_EXTERN PetscErrorCode VecScatterFFTWToPetsc(Mat,Vec,Vec);
1950: PETSC_EXTERN PetscErrorCode MatCreateVecsFFTW(Mat,Vec*,Vec*,Vec*);
1951: #endif
1953: #if defined(PETSC_HAVE_SCALAPACK)
1954: PETSC_EXTERN PetscErrorCode MatCreateScaLAPACK(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,Mat*);
1955: PETSC_EXTERN PetscErrorCode MatScaLAPACKSetBlockSizes(Mat,PetscInt,PetscInt);
1956: PETSC_EXTERN PetscErrorCode MatScaLAPACKGetBlockSizes(Mat,PetscInt*,PetscInt*);
1957: #endif
1959: PETSC_EXTERN PetscErrorCode MatCreateNest(MPI_Comm,PetscInt,const IS[],PetscInt,const IS[],const Mat[],Mat*);
1960: PETSC_EXTERN PetscErrorCode MatNestGetSize(Mat,PetscInt*,PetscInt*);
1961: PETSC_EXTERN PetscErrorCode MatNestGetISs(Mat,IS[],IS[]);
1962: PETSC_EXTERN PetscErrorCode MatNestGetLocalISs(Mat,IS[],IS[]);
1963: PETSC_EXTERN PetscErrorCode MatNestGetSubMats(Mat,PetscInt*,PetscInt*,Mat***);
1964: PETSC_EXTERN PetscErrorCode MatNestGetSubMat(Mat,PetscInt,PetscInt,Mat*);
1965: PETSC_EXTERN PetscErrorCode MatNestSetVecType(Mat,VecType);
1966: PETSC_EXTERN PetscErrorCode MatNestSetSubMats(Mat,PetscInt,const IS[],PetscInt,const IS[],const Mat[]);
1967: PETSC_EXTERN PetscErrorCode MatNestSetSubMat(Mat,PetscInt,PetscInt,Mat);
1969: PETSC_EXTERN PetscErrorCode MatChop(Mat,PetscReal);
1970: PETSC_EXTERN PetscErrorCode MatComputeBandwidth(Mat,PetscReal,PetscInt*);
1972: PETSC_EXTERN PetscErrorCode MatSubdomainsCreateCoalesce(Mat,PetscInt,PetscInt*,IS**);
1974: PETSC_EXTERN PetscErrorCode MatPreallocatorPreallocate(Mat,PetscBool,Mat);
1976: PETSC_INTERN PetscErrorCode MatHeaderMerge(Mat,Mat*);
1977: PETSC_EXTERN PetscErrorCode MatHeaderReplace(Mat,Mat*);
1979: #endif