Actual source code: petscmat.h

petsc-master 2020-12-02
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  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 MATAIJKOKKOS       "aijkokkos"
 44: #define MATSEQAIJKOKKOS    "seqaijkokkos"
 45: #define MATMPIAIJKOKKOS    "mpiaijkokkos"
 46: #define MATAIJVIENNACL     "aijviennacl"
 47: #define MATSEQAIJVIENNACL  "seqaijviennacl"
 48: #define MATMPIAIJVIENNACL  "mpiaijviennacl"
 49: #define MATAIJPERM         "aijperm"
 50: #define MATSEQAIJPERM      "seqaijperm"
 51: #define MATMPIAIJPERM      "mpiaijperm"
 52: #define MATAIJSELL         "aijsell"
 53: #define MATSEQAIJSELL      "seqaijsell"
 54: #define MATMPIAIJSELL      "mpiaijsell"
 55: #define MATAIJMKL          "aijmkl"
 56: #define MATSEQAIJMKL       "seqaijmkl"
 57: #define MATMPIAIJMKL       "mpiaijmkl"
 58: #define MATBAIJMKL         "baijmkl"
 59: #define MATSEQBAIJMKL      "seqbaijmkl"
 60: #define MATMPIBAIJMKL      "mpibaijmkl"
 61: #define MATSHELL           "shell"
 62: #define MATDENSE           "dense"
 63: #define MATDENSECUDA       "densecuda"
 64: #define MATSEQDENSE        "seqdense"
 65: #define MATSEQDENSECUDA    "seqdensecuda"
 66: #define MATMPIDENSE        "mpidense"
 67: #define MATMPIDENSECUDA    "mpidensecuda"
 68: #define MATELEMENTAL       "elemental"
 69: #define MATSCALAPACK       "scalapack"
 70: #define MATBAIJ            "baij"
 71: #define MATSEQBAIJ         "seqbaij"
 72: #define MATMPIBAIJ         "mpibaij"
 73: #define MATMPIADJ          "mpiadj"
 74: #define MATSBAIJ           "sbaij"
 75: #define MATSEQSBAIJ        "seqsbaij"
 76: #define MATMPISBAIJ        "mpisbaij"
 77: #define MATMFFD            "mffd"
 78: #define MATNORMAL          "normal"
 79: #define MATNORMALHERMITIAN "normalh"
 80: #define MATLRC             "lrc"
 81: #define MATSCATTER         "scatter"
 82: #define MATBLOCKMAT        "blockmat"
 83: #define MATCOMPOSITE       "composite"
 84: #define MATFFT             "fft"
 85: #define MATFFTW            "fftw"
 86: #define MATSEQCUFFT        "seqcufft"
 87: #define MATTRANSPOSEMAT    "transpose"
 88: #define MATSCHURCOMPLEMENT "schurcomplement"
 89: #define MATPYTHON          "python"
 90: #define MATHYPRE           "hypre"
 91: #define MATHYPRESTRUCT     "hyprestruct"
 92: #define MATHYPRESSTRUCT    "hypresstruct"
 93: #define MATSUBMATRIX       "submatrix"
 94: #define MATLOCALREF        "localref"
 95: #define MATNEST            "nest"
 96: #define MATPREALLOCATOR    "preallocator"
 97: #define MATSELL            "sell"
 98: #define MATSEQSELL         "seqsell"
 99: #define MATMPISELL         "mpisell"
100: #define MATDUMMY           "dummy"
101: #define MATLMVM            "lmvm"
102: #define MATLMVMDFP         "lmvmdfp"
103: #define MATLMVMBFGS        "lmvmbfgs"
104: #define MATLMVMSR1         "lmvmsr1"
105: #define MATLMVMBROYDEN     "lmvmbroyden"
106: #define MATLMVMBADBROYDEN  "lmvmbadbroyden"
107: #define MATLMVMSYMBROYDEN  "lmvmsymbroyden"
108: #define MATLMVMSYMBADBROYDEN "lmvmsymbadbroyden"
109: #define MATLMVMDIAGBROYDEN   "lmvmdiagbroyden"
110: #define MATCONSTANTDIAGONAL  "constantdiagonal"
111: #define MATHARA              "hara"

113: /*J
114:     MatSolverType - String with the name of a PETSc matrix solver type.

116:     For example: "petsc" indicates what PETSc provides, "superlu_dist" the parallel SuperLU_DIST package etc

118:    Level: beginner

120:    Notes:  MATSOLVERUMFPACK, MATSOLVERCHOLMOD, MATSOLVERKLU form the SuiteSparse package for which you can use --download-suitesparse

122: .seealso: MatGetFactor(), PCFactorSetMatSolverType(), PCFactorGetMatSolverType()
123: J*/
124: typedef const char* MatSolverType;
125: #define MATSOLVERSUPERLU          "superlu"
126: #define MATSOLVERSUPERLU_DIST     "superlu_dist"
127: #define MATSOLVERSTRUMPACK        "strumpack"
128: #define MATSOLVERUMFPACK          "umfpack"
129: #define MATSOLVERCHOLMOD          "cholmod"
130: #define MATSOLVERKLU              "klu"
131: #define MATSOLVERSPARSEELEMENTAL  "sparseelemental"
132: #define MATSOLVERELEMENTAL        "elemental"
133: #define MATSOLVERSCALAPACK        "scalapack"
134: #define MATSOLVERESSL             "essl"
135: #define MATSOLVERLUSOL            "lusol"
136: #define MATSOLVERMUMPS            "mumps"
137: #define MATSOLVERMKL_PARDISO      "mkl_pardiso"
138: #define MATSOLVERMKL_CPARDISO     "mkl_cpardiso"
139: #define MATSOLVERPASTIX           "pastix"
140: #define MATSOLVERMATLAB           "matlab"
141: #define MATSOLVERPETSC            "petsc"
142: #define MATSOLVERBAS              "bas"
143: #define MATSOLVERCUSPARSE         "cusparse"
144: #define MATSOLVERCUDA             "cuda"

146: /*E
147:     MatFactorType - indicates what type of factorization is requested

149:     Level: beginner

151:    Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h

153: .seealso: MatSolverType, MatGetFactor(), MatGetFactorAvailable(), MatSolverTypeRegister()
154: E*/
155: typedef enum {MAT_FACTOR_NONE, MAT_FACTOR_LU, MAT_FACTOR_CHOLESKY, MAT_FACTOR_ILU, MAT_FACTOR_ICC,MAT_FACTOR_ILUDT} MatFactorType;
156: PETSC_EXTERN const char *const MatFactorTypes[];

158: PETSC_EXTERN PetscErrorCode MatGetFactor(Mat,MatSolverType,MatFactorType,Mat*);
159: PETSC_EXTERN PetscErrorCode MatGetFactorAvailable(Mat,MatSolverType,MatFactorType,PetscBool *);
160: PETSC_EXTERN PetscErrorCode MatFactorGetUseOrdering(Mat, PetscBool*);
161: PETSC_EXTERN PetscErrorCode MatFactorGetSolverType(Mat,MatSolverType*);
162: PETSC_EXTERN PetscErrorCode MatGetFactorType(Mat,MatFactorType*);
163: PETSC_EXTERN PetscErrorCode MatSetFactorType(Mat,MatFactorType);
164: PETSC_EXTERN_TYPEDEF typedef PetscErrorCode (*MatSolverFunction)(Mat,MatFactorType,Mat*);
165: PETSC_EXTERN PetscErrorCode MatSolverTypeRegister(MatSolverType,MatType,MatFactorType,MatSolverFunction);
166: PETSC_EXTERN PetscErrorCode MatSolverTypeGet(MatSolverType,MatType,MatFactorType,PetscBool*,PetscBool*,MatSolverFunction*);
167: typedef MatSolverType MatSolverPackage PETSC_DEPRECATED_TYPEDEF("Use MatSolverType (since version 3.9)");
168: PETSC_DEPRECATED_FUNCTION("Use MatSolverTypeRegister() (since version 3.9)") PETSC_STATIC_INLINE PetscErrorCode MatSolverPackageRegister(MatSolverType stype,MatType mtype,MatFactorType ftype,MatSolverFunction f)
169: { return MatSolverTypeRegister(stype,mtype,ftype,f); }
170: 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)
171: { return MatSolverTypeGet(stype,mtype,ftype,foundmtype,foundstype,f); }

173: /*E
174:     MatProductType - indicates what type of matrix product is requested

176:     Level: beginner

178: .seealso: MatSolverType, MatProductSetType()
179: E*/
180: typedef enum {MATPRODUCT_UNSPECIFIED=0,MATPRODUCT_AB,MATPRODUCT_AtB,MATPRODUCT_ABt,MATPRODUCT_PtAP,MATPRODUCT_RARt,MATPRODUCT_ABC} MatProductType;
181: PETSC_EXTERN const char *const MatProductTypes[];

183: /*J
184:     MatProductAlgorithm - String with the name of an algorithm for a PETSc matrix product implementation

186:    Level: beginner

188: .seealso: MatSetType(), Mat, MatSolverType, MatRegister(), MatProductSetAlgorithm(), MatProductType
189: J*/
190: typedef const char* MatProductAlgorithm;
191: #define MATPRODUCTALGORITHM_DEFAULT "default"

193: PETSC_EXTERN PetscErrorCode MatProductCreate(Mat,Mat,Mat,Mat*);
194: PETSC_EXTERN PetscErrorCode MatProductCreateWithMat(Mat,Mat,Mat,Mat);
195: PETSC_EXTERN PetscErrorCode MatProductSetType(Mat,MatProductType);
196: PETSC_EXTERN PetscErrorCode MatProductSetAlgorithm(Mat,MatProductAlgorithm);
197: PETSC_EXTERN PetscErrorCode MatProductSetFill(Mat,PetscReal);
198: PETSC_EXTERN PetscErrorCode MatProductSetFromOptions(Mat);
199: PETSC_EXTERN PetscErrorCode MatProductSymbolic(Mat);
200: PETSC_EXTERN PetscErrorCode MatProductNumeric(Mat);
201: PETSC_EXTERN PetscErrorCode MatProductReplaceMats(Mat,Mat,Mat,Mat);
202: PETSC_EXTERN PetscErrorCode MatProductClear(Mat);
203: PETSC_EXTERN PetscErrorCode MatProductView(Mat,PetscViewer);

205: /* Logging support */
206: #define    MAT_FILE_CLASSID 1211216    /* used to indicate matrices in binary files */
207: PETSC_EXTERN PetscClassId MAT_CLASSID;
208: PETSC_EXTERN PetscClassId MAT_COLORING_CLASSID;
209: PETSC_EXTERN PetscClassId MAT_FDCOLORING_CLASSID;
210: PETSC_EXTERN PetscClassId MAT_TRANSPOSECOLORING_CLASSID;
211: PETSC_EXTERN PetscClassId MAT_PARTITIONING_CLASSID;
212: PETSC_EXTERN PetscClassId MAT_COARSEN_CLASSID;
213: PETSC_EXTERN PetscClassId MAT_NULLSPACE_CLASSID;
214: PETSC_EXTERN PetscClassId MATMFFD_CLASSID;

216: /*E
217:     MatReuse - Indicates if matrices obtained from a previous call to MatCreateSubMatrices(), MatCreateSubMatrix(), MatConvert() or several other functions
218:      are to be reused to store the new matrix values.

220: $  MAT_INITIAL_MATRIX - create a new matrix
221: $  MAT_REUSE_MATRIX - reuse the matrix created with a previous call that used MAT_INITIAL_MATRIX
222: $  MAT_INPLACE_MATRIX - replace the first input matrix with the new matrix (not applicable to all functions)
223: $  MAT_IGNORE_MATRIX - do not create a new matrix or reuse a give matrix, just ignore that matrix argument (not applicable to all functions)

225:     Level: beginner

227:    Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h

229: .seealso: MatCreateSubMatrices(), MatCreateSubMatrix(), MatDestroyMatrices(), MatConvert()
230: E*/
231: typedef enum {MAT_INITIAL_MATRIX,MAT_REUSE_MATRIX,MAT_IGNORE_MATRIX,MAT_INPLACE_MATRIX} MatReuse;

233: /*E
234:     MatCreateSubMatrixOption - Indicates if matrices obtained from a call to MatCreateSubMatrices()
235:      include the matrix values. Currently it is only used by MatGetSeqNonzerostructure().

237:     Level: beginner

239: .seealso: MatGetSeqNonzerostructure()
240: E*/
241: typedef enum {MAT_DO_NOT_GET_VALUES,MAT_GET_VALUES} MatCreateSubMatrixOption;

243: PETSC_EXTERN PetscErrorCode MatInitializePackage(void);

245: PETSC_EXTERN PetscErrorCode MatCreate(MPI_Comm,Mat*);
246: PETSC_EXTERN PetscErrorCode MatSetSizes(Mat,PetscInt,PetscInt,PetscInt,PetscInt);
247: PETSC_EXTERN PetscErrorCode MatSetType(Mat,MatType);
248: PETSC_EXTERN PetscErrorCode MatGetVecType(Mat,VecType*);
249: PETSC_EXTERN PetscErrorCode MatSetVecType(Mat,VecType);
250: PETSC_EXTERN PetscErrorCode MatSetFromOptions(Mat);
251: PETSC_EXTERN PetscErrorCode MatViewFromOptions(Mat,PetscObject,const char[]);
252: PETSC_EXTERN PetscErrorCode MatRegister(const char[],PetscErrorCode(*)(Mat));
253: PETSC_EXTERN PetscErrorCode MatRegisterRootName(const char[],const char[],const char[]);
254: PETSC_EXTERN PetscErrorCode MatSetOptionsPrefix(Mat,const char[]);
255: PETSC_EXTERN PetscErrorCode MatAppendOptionsPrefix(Mat,const char[]);
256: PETSC_EXTERN PetscErrorCode MatGetOptionsPrefix(Mat,const char*[]);
257: PETSC_EXTERN PetscErrorCode MatSetErrorIfFailure(Mat,PetscBool);

259: PETSC_EXTERN PetscFunctionList MatList;
260: PETSC_EXTERN PetscFunctionList MatColoringList;
261: PETSC_EXTERN PetscFunctionList MatPartitioningList;

263: /*E
264:     MatStructure - Indicates if two matrices have the same nonzero structure

266:     Level: beginner

268:    Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h

270: .seealso: MatCopy(), MatAXPY()
271: E*/
272: typedef enum {DIFFERENT_NONZERO_PATTERN,SUBSET_NONZERO_PATTERN,SAME_NONZERO_PATTERN} MatStructure;

274: #if defined PETSC_HAVE_MKL_SPARSE
275: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
276: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
277: PETSC_EXTERN PetscErrorCode MatCreateBAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
278: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
279: #endif

281: PETSC_EXTERN PetscErrorCode MatCreateSeqSELL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
282: PETSC_EXTERN PetscErrorCode MatCreateSELL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
283: PETSC_EXTERN PetscErrorCode MatSeqSELLSetPreallocation(Mat,PetscInt,const PetscInt[]);
284: PETSC_EXTERN PetscErrorCode MatMPISELLSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);

286: PETSC_EXTERN PetscErrorCode MatCreateSeqDense(MPI_Comm,PetscInt,PetscInt,PetscScalar[],Mat*);
287: PETSC_EXTERN PetscErrorCode MatCreateDense(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscScalar[],Mat*);
288: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
289: PETSC_EXTERN PetscErrorCode MatCreateAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
290: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat*);
291: PETSC_EXTERN PetscErrorCode MatUpdateMPIAIJWithArrays(Mat,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
292: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSplitArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],PetscInt[],PetscInt[],PetscScalar[],Mat*);
293: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSeqAIJ(MPI_Comm,Mat,Mat,const PetscInt[],Mat*);

295: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
296: PETSC_EXTERN PetscErrorCode MatCreateBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
297: PETSC_EXTERN PetscErrorCode MatCreateMPIBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat*);

299: PETSC_EXTERN PetscErrorCode MatSetPreallocationCOO(Mat,PetscInt,const PetscInt[],const PetscInt[]);
300: PETSC_EXTERN PetscErrorCode MatSetValuesCOO(Mat,const PetscScalar[],InsertMode);

302: PETSC_EXTERN PetscErrorCode MatCreateMPIAdj(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscInt[],Mat*);
303: PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);

305: PETSC_EXTERN PetscErrorCode MatCreateSBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
306: PETSC_EXTERN PetscErrorCode MatCreateMPISBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat *);
307: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
308: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
309: PETSC_EXTERN PetscErrorCode MatXAIJSetPreallocation(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscInt[],const PetscInt[]);

311: PETSC_EXTERN PetscErrorCode MatCreateShell(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,void *,Mat*);
312: PETSC_EXTERN PetscErrorCode MatCreateNormal(Mat,Mat*);
313: PETSC_EXTERN PetscErrorCode MatCreateNormalHermitian(Mat,Mat*);
314: PETSC_EXTERN PetscErrorCode MatCreateLRC(Mat,Mat,Vec,Mat,Mat*);
315: PETSC_EXTERN PetscErrorCode MatLRCGetMats(Mat,Mat*,Mat*,Vec*,Mat*);
316: PETSC_EXTERN PetscErrorCode MatCreateIS(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,ISLocalToGlobalMapping,ISLocalToGlobalMapping,Mat*);
317: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCRL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
318: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJCRL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);

320: PETSC_EXTERN PetscErrorCode MatCreateScatter(MPI_Comm,VecScatter,Mat*);
321: PETSC_EXTERN PetscErrorCode MatScatterSetVecScatter(Mat,VecScatter);
322: PETSC_EXTERN PetscErrorCode MatScatterGetVecScatter(Mat,VecScatter*);
323: PETSC_EXTERN PetscErrorCode MatCreateBlockMat(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt*,Mat*);
324: PETSC_EXTERN PetscErrorCode MatCompositeAddMat(Mat,Mat);
325: PETSC_EXTERN PetscErrorCode MatCompositeMerge(Mat);
326: typedef enum {MAT_COMPOSITE_MERGE_RIGHT,MAT_COMPOSITE_MERGE_LEFT} MatCompositeMergeType;
327: PETSC_EXTERN PetscErrorCode MatCompositeSetMergeType(Mat,MatCompositeMergeType);
328: PETSC_EXTERN PetscErrorCode MatCreateComposite(MPI_Comm,PetscInt,const Mat*,Mat*);
329: typedef enum {MAT_COMPOSITE_ADDITIVE,MAT_COMPOSITE_MULTIPLICATIVE} MatCompositeType;
330: PETSC_EXTERN PetscErrorCode MatCompositeSetType(Mat,MatCompositeType);
331: PETSC_EXTERN PetscErrorCode MatCompositeGetType(Mat,MatCompositeType*);
332: PETSC_EXTERN PetscErrorCode MatCompositeSetMatStructure(Mat,MatStructure);
333: PETSC_EXTERN PetscErrorCode MatCompositeGetMatStructure(Mat,MatStructure*);
334: PETSC_EXTERN PetscErrorCode MatCompositeGetNumberMat(Mat,PetscInt*);
335: PETSC_EXTERN PetscErrorCode MatCompositeGetMat(Mat,PetscInt,Mat*);
336: PETSC_EXTERN PetscErrorCode MatCompositeSetScalings(Mat,const PetscScalar*);

338: PETSC_EXTERN PetscErrorCode MatCreateFFT(MPI_Comm,PetscInt,const PetscInt[],MatType,Mat*);
339: PETSC_EXTERN PetscErrorCode MatCreateSeqCUFFT(MPI_Comm,PetscInt,const PetscInt[],Mat*);

341: PETSC_EXTERN PetscErrorCode MatCreateTranspose(Mat,Mat*);
342: PETSC_EXTERN PetscErrorCode MatTransposeGetMat(Mat,Mat*);
343: PETSC_EXTERN PetscErrorCode MatCreateHermitianTranspose(Mat,Mat*);
344: PETSC_EXTERN PetscErrorCode MatHermitianTransposeGetMat(Mat,Mat*);
345: PETSC_EXTERN PetscErrorCode MatCreateSubMatrixVirtual(Mat,IS,IS,Mat*);
346: PETSC_EXTERN PetscErrorCode MatSubMatrixVirtualUpdate(Mat,Mat,IS,IS);
347: PETSC_EXTERN PetscErrorCode MatCreateLocalRef(Mat,IS,IS,Mat*);
348: PETSC_EXTERN PetscErrorCode MatCreateConstantDiagonal(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscScalar,Mat*);

350: #if defined(PETSC_HAVE_HYPRE)
351: PETSC_EXTERN PetscErrorCode MatHYPRESetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
352: #endif

354: PETSC_EXTERN PetscErrorCode MatPythonSetType(Mat,const char[]);

356: PETSC_EXTERN PetscErrorCode MatResetPreallocation(Mat);
357: PETSC_EXTERN PetscErrorCode MatSetUp(Mat);
358: PETSC_EXTERN PetscErrorCode MatDestroy(Mat*);
359: PETSC_EXTERN PetscErrorCode MatGetNonzeroState(Mat,PetscObjectState*);

361: PETSC_EXTERN PetscErrorCode MatConjugate(Mat);
362: PETSC_EXTERN PetscErrorCode MatRealPart(Mat);
363: PETSC_EXTERN PetscErrorCode MatImaginaryPart(Mat);
364: PETSC_EXTERN PetscErrorCode MatGetDiagonalBlock(Mat,Mat*);
365: PETSC_EXTERN PetscErrorCode MatGetTrace(Mat,PetscScalar*);
366: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonal(Mat,const PetscScalar **);
367: PETSC_EXTERN PetscErrorCode MatInvertVariableBlockDiagonal(Mat,PetscInt,const PetscInt*,PetscScalar*);
368: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonalMat(Mat,Mat);

370: /* ------------------------------------------------------------*/
371: PETSC_EXTERN PetscErrorCode MatSetValues(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
372: PETSC_EXTERN PetscErrorCode MatSetValuesBlocked(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
373: PETSC_EXTERN PetscErrorCode MatSetValuesRow(Mat,PetscInt,const PetscScalar[]);
374: PETSC_EXTERN PetscErrorCode MatSetValuesRowLocal(Mat,PetscInt,const PetscScalar[]);
375: PETSC_EXTERN PetscErrorCode MatSetValuesBatch(Mat,PetscInt,PetscInt,PetscInt[],const PetscScalar[]);
376: PETSC_EXTERN PetscErrorCode MatSetRandom(Mat,PetscRandom);

378: /*S
379:      MatStencil - Data structure (C struct) for storing information about a single row or
380:         column of a matrix as indexed on an associated grid. These are arguments to MatSetStencil() and MatSetBlockStencil()

382:    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).
383:    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.

385:    For stencil access to vectors see DMDAVecGetArray(), DMDAVecGetArrayF90().

387:    Fortran usage is different, see MatSetValuesStencil() for details.

389:    Level: beginner

391: .seealso:  MatSetValuesStencil(), MatSetStencil(), MatSetValuesBlockedStencil(), DMDAVecGetArray(), DMDAVecGetArrayF90()
392: S*/
393: typedef struct {
394:   PetscInt k,j,i,c;
395: } MatStencil;

397: PETSC_EXTERN PetscErrorCode MatSetValuesStencil(Mat,PetscInt,const MatStencil[],PetscInt,const MatStencil[],const PetscScalar[],InsertMode);
398: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedStencil(Mat,PetscInt,const MatStencil[],PetscInt,const MatStencil[],const PetscScalar[],InsertMode);
399: PETSC_EXTERN PetscErrorCode MatSetStencil(Mat,PetscInt,const PetscInt[],const PetscInt[],PetscInt);

401: /*E
402:     MatAssemblyType - Indicates if the matrix is now to be used, or if you plan
403:      to continue to add or insert values to it

405:     Level: beginner

407: .seealso: MatAssemblyBegin(), MatAssemblyEnd()
408: E*/
409: typedef enum {MAT_FLUSH_ASSEMBLY=1,MAT_FINAL_ASSEMBLY=0} MatAssemblyType;
410: PETSC_EXTERN PetscErrorCode MatAssemblyBegin(Mat,MatAssemblyType);
411: PETSC_EXTERN PetscErrorCode MatAssemblyEnd(Mat,MatAssemblyType);
412: PETSC_EXTERN PetscErrorCode MatAssembled(Mat,PetscBool *);



416: /*E
417:     MatOption - Options that may be set for a matrix and its behavior or storage

419:     Level: beginner

421:    Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
422:    Any additions/changes here must also be made in src/mat/interface/dlregismat.c in MatOptions[]

424:    Developer Notes:
425:     Entries that are negative need not be called collectively by all processes.

427: .seealso: MatSetOption()
428: E*/
429: typedef enum {MAT_OPTION_MIN = -3,
430:               MAT_UNUSED_NONZERO_LOCATION_ERR = -2,
431:               MAT_ROW_ORIENTED = -1,
432:               MAT_SYMMETRIC = 1,
433:               MAT_STRUCTURALLY_SYMMETRIC = 2,
434:               MAT_NEW_DIAGONALS = 3,
435:               MAT_IGNORE_OFF_PROC_ENTRIES = 4,
436:               MAT_USE_HASH_TABLE = 5,
437:               MAT_KEEP_NONZERO_PATTERN = 6,
438:               MAT_IGNORE_ZERO_ENTRIES = 7,
439:               MAT_USE_INODES = 8,
440:               MAT_HERMITIAN = 9,
441:               MAT_SYMMETRY_ETERNAL = 10,
442:               MAT_NEW_NONZERO_LOCATION_ERR = 11,
443:               MAT_IGNORE_LOWER_TRIANGULAR = 12,
444:               MAT_ERROR_LOWER_TRIANGULAR = 13,
445:               MAT_GETROW_UPPERTRIANGULAR = 14,
446:               MAT_SPD = 15,
447:               MAT_NO_OFF_PROC_ZERO_ROWS = 16,
448:               MAT_NO_OFF_PROC_ENTRIES = 17,
449:               MAT_NEW_NONZERO_LOCATIONS = 18,
450:               MAT_NEW_NONZERO_ALLOCATION_ERR = 19,
451:               MAT_SUBSET_OFF_PROC_ENTRIES = 20,
452:               MAT_SUBMAT_SINGLEIS = 21,
453:               MAT_STRUCTURE_ONLY = 22,
454:               MAT_SORTED_FULL = 23,
455:               MAT_OPTION_MAX = 24} MatOption;

457: PETSC_EXTERN const char *const *MatOptions;
458: PETSC_EXTERN PetscErrorCode MatSetOption(Mat,MatOption,PetscBool);
459: PETSC_EXTERN PetscErrorCode MatGetOption(Mat,MatOption,PetscBool*);
460: PETSC_EXTERN PetscErrorCode MatPropagateSymmetryOptions(Mat,Mat);
461: PETSC_EXTERN PetscErrorCode MatGetType(Mat,MatType*);

463: PETSC_EXTERN PetscErrorCode MatGetValues(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],PetscScalar[]);
464: PETSC_EXTERN PetscErrorCode MatGetRow(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
465: PETSC_EXTERN PetscErrorCode MatRestoreRow(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
466: PETSC_EXTERN PetscErrorCode MatGetRowUpperTriangular(Mat);
467: PETSC_EXTERN PetscErrorCode MatRestoreRowUpperTriangular(Mat);
468: PETSC_EXTERN PetscErrorCode MatGetColumnVector(Mat,Vec,PetscInt);
469: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArray(Mat,PetscScalar *[]);
470: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArrayRead(Mat,const PetscScalar *[]);
471: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArray(Mat,PetscScalar *[]);
472: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArrayRead(Mat,const PetscScalar *[]);
473: PETSC_EXTERN PetscErrorCode MatSeqAIJGetMaxRowNonzeros(Mat,PetscInt*);
474: PETSC_EXTERN PetscErrorCode MatSeqAIJSetValuesLocalFast(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
475: PETSC_EXTERN PetscErrorCode MatSeqAIJSetType(Mat,MatType);
476: PETSC_EXTERN PetscErrorCode MatSeqAIJRegister(const char[],PetscErrorCode (*)(Mat,MatType,MatReuse,Mat *));
477: PETSC_EXTERN PetscFunctionList MatSeqAIJList;
478: PETSC_EXTERN PetscErrorCode MatSeqBAIJGetArray(Mat,PetscScalar *[]);
479: PETSC_EXTERN PetscErrorCode MatSeqBAIJRestoreArray(Mat,PetscScalar *[]);
480: PETSC_EXTERN PetscErrorCode MatSeqSBAIJGetArray(Mat,PetscScalar *[]);
481: PETSC_EXTERN PetscErrorCode MatSeqSBAIJRestoreArray(Mat,PetscScalar *[]);
482: PETSC_EXTERN PetscErrorCode MatDenseGetArray(Mat,PetscScalar *[]);
483: PETSC_EXTERN PetscErrorCode MatDenseRestoreArray(Mat,PetscScalar *[]);
484: PETSC_EXTERN PetscErrorCode MatDensePlaceArray(Mat,const PetscScalar[]);
485: PETSC_EXTERN PetscErrorCode MatDenseReplaceArray(Mat,const PetscScalar[]);
486: PETSC_EXTERN PetscErrorCode MatDenseResetArray(Mat);
487: PETSC_EXTERN PetscErrorCode MatDenseGetArrayRead(Mat,const PetscScalar *[]);
488: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayRead(Mat,const PetscScalar *[]);
489: PETSC_EXTERN PetscErrorCode MatDenseGetArrayWrite(Mat,PetscScalar *[]);
490: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayWrite(Mat,PetscScalar *[]);
491: PETSC_EXTERN PetscErrorCode MatGetBlockSize(Mat,PetscInt *);
492: PETSC_EXTERN PetscErrorCode MatSetBlockSize(Mat,PetscInt);
493: PETSC_EXTERN PetscErrorCode MatGetBlockSizes(Mat,PetscInt *,PetscInt *);
494: PETSC_EXTERN PetscErrorCode MatSetBlockSizes(Mat,PetscInt,PetscInt);
495: PETSC_EXTERN PetscErrorCode MatSetBlockSizesFromMats(Mat,Mat,Mat);
496: PETSC_EXTERN PetscErrorCode MatSetVariableBlockSizes(Mat,PetscInt,PetscInt*);
497: PETSC_EXTERN PetscErrorCode MatGetVariableBlockSizes(Mat,PetscInt*,const PetscInt**);

499: PETSC_EXTERN PetscErrorCode MatDenseGetColumn(Mat,PetscInt,PetscScalar*[]);
500: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumn(Mat,PetscScalar*[]);
501: PETSC_EXTERN PetscErrorCode MatDenseGetColumnVec(Mat,PetscInt,Vec*);
502: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVec(Mat,PetscInt,Vec*);
503: PETSC_EXTERN PetscErrorCode MatDenseGetColumnVecRead(Mat,PetscInt,Vec*);
504: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVecRead(Mat,PetscInt,Vec*);
505: PETSC_EXTERN PetscErrorCode MatDenseGetColumnVecWrite(Mat,PetscInt,Vec*);
506: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVecWrite(Mat,PetscInt,Vec*);
507: PETSC_EXTERN PetscErrorCode MatDenseGetSubMatrix(Mat,PetscInt,PetscInt,Mat*);
508: PETSC_EXTERN PetscErrorCode MatDenseRestoreSubMatrix(Mat,Mat*);

510: PETSC_EXTERN PetscErrorCode MatMult(Mat,Vec,Vec);
511: PETSC_EXTERN PetscErrorCode MatMultDiagonalBlock(Mat,Vec,Vec);
512: PETSC_EXTERN PetscErrorCode MatMultAdd(Mat,Vec,Vec,Vec);
513: PETSC_EXTERN PetscErrorCode MatMultTranspose(Mat,Vec,Vec);
514: PETSC_EXTERN PetscErrorCode MatMultHermitianTranspose(Mat,Vec,Vec);
515: PETSC_EXTERN PetscErrorCode MatIsTranspose(Mat,Mat,PetscReal,PetscBool *);
516: PETSC_EXTERN PetscErrorCode MatIsHermitianTranspose(Mat,Mat,PetscReal,PetscBool *);
517: PETSC_EXTERN PetscErrorCode MatMultTransposeAdd(Mat,Vec,Vec,Vec);
518: PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeAdd(Mat,Vec,Vec,Vec);
519: PETSC_EXTERN PetscErrorCode MatMultConstrained(Mat,Vec,Vec);
520: PETSC_EXTERN PetscErrorCode MatMultTransposeConstrained(Mat,Vec,Vec);
521: PETSC_EXTERN PetscErrorCode MatMatSolve(Mat,Mat,Mat);
522: PETSC_EXTERN PetscErrorCode MatMatSolveTranspose(Mat,Mat,Mat);
523: PETSC_EXTERN PetscErrorCode MatMatTransposeSolve(Mat,Mat,Mat);
524: PETSC_EXTERN PetscErrorCode MatResidual(Mat,Vec,Vec,Vec);

526: /*E
527:     MatDuplicateOption - Indicates if a duplicated sparse matrix should have
528:   its numerical values copied over or just its nonzero structure.

530:     Level: beginner

532:    Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h

534: $   MAT_DO_NOT_COPY_VALUES    - Create a matrix using the same nonzero pattern as the original matrix,
535: $                               with zeros for the numerical values.
536: $   MAT_COPY_VALUES           - Create a matrix with the same nonzero pattern as the original matrix
537: $                               and with the same numerical values.
538: $   MAT_SHARE_NONZERO_PATTERN - Create a matrix that shares the nonzero structure with the previous matrix
539: $                               and does not copy it, using zeros for the numerical values. The parent and
540: $                               child matrices will share their index (i and j) arrays, and you cannot
541: $                               insert new nonzero entries into either matrix.

543: Notes:
544:     Many matrix types (including SeqAIJ) do not support the MAT_SHARE_NONZERO_PATTERN optimization; in
545: this case the behavior is as if MAT_DO_NOT_COPY_VALUES has been specified.

547: .seealso: MatDuplicate()
548: E*/
549: typedef enum {MAT_DO_NOT_COPY_VALUES,MAT_COPY_VALUES,MAT_SHARE_NONZERO_PATTERN} MatDuplicateOption;

551: PETSC_EXTERN PetscErrorCode MatConvert(Mat,MatType,MatReuse,Mat*);
552: PETSC_EXTERN PetscErrorCode MatDuplicate(Mat,MatDuplicateOption,Mat*);


555: PETSC_EXTERN PetscErrorCode MatCopy(Mat,Mat,MatStructure);
556: PETSC_EXTERN PetscErrorCode MatView(Mat,PetscViewer);
557: PETSC_EXTERN PetscErrorCode MatIsSymmetric(Mat,PetscReal,PetscBool *);
558: PETSC_EXTERN PetscErrorCode MatIsStructurallySymmetric(Mat,PetscBool *);
559: PETSC_EXTERN PetscErrorCode MatIsHermitian(Mat,PetscReal,PetscBool *);
560: PETSC_EXTERN PetscErrorCode MatIsSymmetricKnown(Mat,PetscBool *,PetscBool *);
561: PETSC_EXTERN PetscErrorCode MatIsHermitianKnown(Mat,PetscBool *,PetscBool *);
562: PETSC_EXTERN PetscErrorCode MatMissingDiagonal(Mat,PetscBool  *,PetscInt *);
563: PETSC_EXTERN PetscErrorCode MatLoad(Mat, PetscViewer);

565: PETSC_EXTERN PetscErrorCode MatGetRowIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool  *);
566: PETSC_EXTERN PetscErrorCode MatRestoreRowIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt *,const PetscInt *[],const PetscInt *[],PetscBool  *);
567: PETSC_EXTERN PetscErrorCode MatGetColumnIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool  *);
568: PETSC_EXTERN PetscErrorCode MatRestoreColumnIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt *,const PetscInt *[],const PetscInt *[],PetscBool  *);

570: /*S
571:      MatInfo - Context of matrix information, used with MatGetInfo()

573:    In Fortran this is simply a double precision array of dimension MAT_INFO_SIZE

575:    Level: intermediate

577: .seealso:  MatGetInfo(), MatInfoType
578: S*/
579: typedef struct {
580:   PetscLogDouble block_size;                         /* block size */
581:   PetscLogDouble nz_allocated,nz_used,nz_unneeded;   /* number of nonzeros */
582:   PetscLogDouble memory;                             /* memory allocated */
583:   PetscLogDouble assemblies;                         /* number of matrix assemblies called */
584:   PetscLogDouble mallocs;                            /* number of mallocs during MatSetValues() */
585:   PetscLogDouble fill_ratio_given,fill_ratio_needed; /* fill ratio for LU/ILU */
586:   PetscLogDouble factor_mallocs;                     /* number of mallocs during factorization */
587: } MatInfo;

589: /*E
590:     MatInfoType - Indicates if you want information about the local part of the matrix,
591:      the entire parallel matrix or the maximum over all the local parts.

593:     Level: beginner

595:    Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h

597: .seealso: MatGetInfo(), MatInfo
598: E*/
599: typedef enum {MAT_LOCAL=1,MAT_GLOBAL_MAX=2,MAT_GLOBAL_SUM=3} MatInfoType;
600: PETSC_EXTERN PetscErrorCode MatGetInfo(Mat,MatInfoType,MatInfo*);
601: PETSC_EXTERN PetscErrorCode MatGetDiagonal(Mat,Vec);
602: PETSC_EXTERN PetscErrorCode MatGetRowMax(Mat,Vec,PetscInt[]);
603: PETSC_EXTERN PetscErrorCode MatGetRowMin(Mat,Vec,PetscInt[]);
604: PETSC_EXTERN PetscErrorCode MatGetRowMaxAbs(Mat,Vec,PetscInt[]);
605: PETSC_EXTERN PetscErrorCode MatGetRowMinAbs(Mat,Vec,PetscInt[]);
606: PETSC_EXTERN PetscErrorCode MatGetRowSum(Mat,Vec);
607: PETSC_EXTERN PetscErrorCode MatTranspose(Mat,MatReuse,Mat*);
608: PETSC_EXTERN PetscErrorCode MatHermitianTranspose(Mat,MatReuse,Mat*);
609: PETSC_EXTERN PetscErrorCode MatPermute(Mat,IS,IS,Mat*);
610: PETSC_EXTERN PetscErrorCode MatDiagonalScale(Mat,Vec,Vec);
611: PETSC_EXTERN PetscErrorCode MatDiagonalSet(Mat,Vec,InsertMode);

613: PETSC_EXTERN PetscErrorCode MatEqual(Mat,Mat,PetscBool*);
614: PETSC_EXTERN PetscErrorCode MatMultEqual(Mat,Mat,PetscInt,PetscBool*);
615: PETSC_EXTERN PetscErrorCode MatMultAddEqual(Mat,Mat,PetscInt,PetscBool*);
616: PETSC_EXTERN PetscErrorCode MatMultTransposeEqual(Mat,Mat,PetscInt,PetscBool*);
617: PETSC_EXTERN PetscErrorCode MatMultTransposeAddEqual(Mat,Mat,PetscInt,PetscBool*);
618: PETSC_EXTERN PetscErrorCode MatMatMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
619: PETSC_EXTERN PetscErrorCode MatTransposeMatMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
620: PETSC_EXTERN PetscErrorCode MatMatTransposeMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
621: PETSC_EXTERN PetscErrorCode MatPtAPMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
622: PETSC_EXTERN PetscErrorCode MatRARtMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
623: PETSC_EXTERN PetscErrorCode MatIsLinear(Mat,PetscInt,PetscBool*);

625: PETSC_EXTERN PetscErrorCode MatNorm(Mat,NormType,PetscReal*);
626: PETSC_EXTERN PetscErrorCode MatGetColumnNorms(Mat,NormType,PetscReal*);
627: PETSC_EXTERN PetscErrorCode MatZeroEntries(Mat);
628: PETSC_EXTERN PetscErrorCode MatSetInf(Mat);
629: PETSC_EXTERN PetscErrorCode MatZeroRows(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
630: PETSC_EXTERN PetscErrorCode MatZeroRowsIS(Mat,IS,PetscScalar,Vec,Vec);
631: PETSC_EXTERN PetscErrorCode MatZeroRowsStencil(Mat,PetscInt,const MatStencil [],PetscScalar,Vec,Vec);
632: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsStencil(Mat,PetscInt,const MatStencil[],PetscScalar,Vec,Vec);
633: PETSC_EXTERN PetscErrorCode MatZeroRowsColumns(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
634: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsIS(Mat,IS,PetscScalar,Vec,Vec);

636: PETSC_EXTERN PetscErrorCode MatGetSize(Mat,PetscInt*,PetscInt*);
637: PETSC_EXTERN PetscErrorCode MatGetLocalSize(Mat,PetscInt*,PetscInt*);
638: PETSC_EXTERN PetscErrorCode MatGetOwnershipRange(Mat,PetscInt*,PetscInt*);
639: PETSC_EXTERN PetscErrorCode MatGetOwnershipRanges(Mat,const PetscInt**);
640: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangeColumn(Mat,PetscInt*,PetscInt*);
641: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangesColumn(Mat,const PetscInt**);
642: PETSC_EXTERN PetscErrorCode MatGetOwnershipIS(Mat,IS*,IS*);

644: PETSC_EXTERN PetscErrorCode MatCreateSubMatrices(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
645: 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);}
646: PETSC_EXTERN PetscErrorCode MatCreateSubMatricesMPI(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
647: 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);}
648: PETSC_EXTERN PetscErrorCode MatDestroyMatrices(PetscInt,Mat *[]);
649: PETSC_EXTERN PetscErrorCode MatDestroySubMatrices(PetscInt,Mat *[]);
650: PETSC_EXTERN PetscErrorCode MatCreateSubMatrix(Mat,IS,IS,MatReuse,Mat *);
651: 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);}
652: PETSC_EXTERN PetscErrorCode MatGetLocalSubMatrix(Mat,IS,IS,Mat*);
653: PETSC_EXTERN PetscErrorCode MatRestoreLocalSubMatrix(Mat,IS,IS,Mat*);
654: PETSC_EXTERN PetscErrorCode MatGetSeqNonzeroStructure(Mat,Mat*);
655: PETSC_EXTERN PetscErrorCode MatDestroySeqNonzeroStructure(Mat*);

657: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJ(MPI_Comm,Mat,PetscInt,PetscInt,MatReuse,Mat*);
658: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJSymbolic(MPI_Comm,Mat,PetscInt,PetscInt,Mat*);
659: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJNumeric(Mat,Mat);
660: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMat(Mat,MatReuse,Mat*);
661: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMatCondensed(Mat,MatReuse,IS*,IS*,Mat*);
662: PETSC_EXTERN PetscErrorCode MatGetBrowsOfAcols(Mat,Mat,MatReuse,IS*,IS*,Mat*);
663: PETSC_EXTERN PetscErrorCode MatGetGhosts(Mat, PetscInt *,const PetscInt *[]);

665: PETSC_EXTERN PetscErrorCode MatIncreaseOverlap(Mat,PetscInt,IS[],PetscInt);
666: PETSC_EXTERN PetscErrorCode MatIncreaseOverlapSplit(Mat mat,PetscInt n,IS is[],PetscInt ov);
667: PETSC_EXTERN PetscErrorCode MatMPIAIJSetUseScalableIncreaseOverlap(Mat,PetscBool);

669: PETSC_EXTERN PetscErrorCode MatMatMult(Mat,Mat,MatReuse,PetscReal,Mat*);

671: PETSC_EXTERN PetscErrorCode MatMatMatMult(Mat,Mat,Mat,MatReuse,PetscReal,Mat*);
672: PETSC_EXTERN PetscErrorCode MatGalerkin(Mat,Mat,Mat,MatReuse,PetscReal,Mat*);

674: PETSC_EXTERN PetscErrorCode MatPtAP(Mat,Mat,MatReuse,PetscReal,Mat*);
675: PETSC_EXTERN PetscErrorCode MatRARt(Mat,Mat,MatReuse,PetscReal,Mat*);

677: PETSC_EXTERN PetscErrorCode MatTransposeMatMult(Mat,Mat,MatReuse,PetscReal,Mat*);
678: PETSC_EXTERN PetscErrorCode MatMatTransposeMult(Mat,Mat,MatReuse,PetscReal,Mat*);

680: PETSC_EXTERN PetscErrorCode MatAXPY(Mat,PetscScalar,Mat,MatStructure);
681: PETSC_EXTERN PetscErrorCode MatAYPX(Mat,PetscScalar,Mat,MatStructure);

683: PETSC_EXTERN PetscErrorCode MatScale(Mat,PetscScalar);
684: PETSC_EXTERN PetscErrorCode MatShift(Mat,PetscScalar);

686: PETSC_EXTERN PetscErrorCode MatSetLocalToGlobalMapping(Mat,ISLocalToGlobalMapping,ISLocalToGlobalMapping);
687: PETSC_EXTERN PetscErrorCode MatGetLocalToGlobalMapping(Mat,ISLocalToGlobalMapping*,ISLocalToGlobalMapping*);
688: PETSC_EXTERN PetscErrorCode MatGetLayouts(Mat,PetscLayout*,PetscLayout*);
689: PETSC_EXTERN PetscErrorCode MatSetLayouts(Mat,PetscLayout,PetscLayout);
690: PETSC_EXTERN PetscErrorCode MatZeroRowsLocal(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
691: PETSC_EXTERN PetscErrorCode MatZeroRowsLocalIS(Mat,IS,PetscScalar,Vec,Vec);
692: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocal(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
693: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocalIS(Mat,IS,PetscScalar,Vec,Vec);
694: PETSC_EXTERN PetscErrorCode MatGetValuesLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],PetscScalar[]);
695: PETSC_EXTERN PetscErrorCode MatSetValuesLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
696: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);

698: PETSC_EXTERN PetscErrorCode MatStashSetInitialSize(Mat,PetscInt,PetscInt);
699: PETSC_EXTERN PetscErrorCode MatStashGetInfo(Mat,PetscInt*,PetscInt*,PetscInt*,PetscInt*);

701: PETSC_EXTERN PetscErrorCode MatInterpolate(Mat,Vec,Vec);
702: PETSC_EXTERN PetscErrorCode MatInterpolateAdd(Mat,Vec,Vec,Vec);
703: PETSC_EXTERN PetscErrorCode MatRestrict(Mat,Vec,Vec);
704: PETSC_EXTERN PetscErrorCode MatCreateVecs(Mat,Vec*,Vec*);
705: 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);}
706: PETSC_EXTERN PetscErrorCode MatCreateRedundantMatrix(Mat,PetscInt,MPI_Comm,MatReuse,Mat*);
707: PETSC_EXTERN PetscErrorCode MatGetMultiProcBlock(Mat,MPI_Comm,MatReuse,Mat*);
708: PETSC_EXTERN PetscErrorCode MatFindZeroDiagonals(Mat,IS*);
709: PETSC_EXTERN PetscErrorCode MatFindOffBlockDiagonalEntries(Mat,IS*);
710: PETSC_EXTERN PetscErrorCode MatCreateMPIMatConcatenateSeqMat(MPI_Comm,Mat,PetscInt,MatReuse,Mat*);

712: /*MC
713:    MatSetValue - Set a single entry into a matrix.

715:    Not collective

717:    Synopsis:
718: #include <petscmat.h>
719:      PetscErrorCode MatSetValue(Mat m,PetscInt row,PetscInt col,PetscScalar value,InsertMode mode)

721:    Input Parameters:
722: +  m - the matrix
723: .  row - the row location of the entry
724: .  col - the column location of the entry
725: .  value - the value to insert
726: -  mode - either INSERT_VALUES or ADD_VALUES

728:    Notes:
729:    For efficiency one should use MatSetValues() and set several or many
730:    values simultaneously if possible.

732:    Level: beginner

734: .seealso: MatSetValues(), MatSetValueLocal()
735: M*/
736: PETSC_STATIC_INLINE PetscErrorCode MatSetValue(Mat v,PetscInt i,PetscInt j,PetscScalar va,InsertMode mode) {return MatSetValues(v,1,&i,1,&j,&va,mode);}

738: PETSC_STATIC_INLINE PetscErrorCode MatGetValue(Mat v,PetscInt i,PetscInt j,PetscScalar *va) {return MatGetValues(v,1,&i,1,&j,va);}

740: PETSC_STATIC_INLINE PetscErrorCode MatSetValueLocal(Mat v,PetscInt i,PetscInt j,PetscScalar va,InsertMode mode) {return MatSetValuesLocal(v,1,&i,1,&j,&va,mode);}

742: /*MC
743:    MatPreallocateInitialize - Begins the block of code that will count the number of nonzeros per
744:        row in a matrix providing the data that one can use to correctly preallocate the matrix.

746:    Synopsis:
747: #include <petscmat.h>
748:    PetscErrorCode MatPreallocateInitialize(MPI_Comm comm, PetscInt nrows, PetscInt ncols, PetscInt *dnz, PetscInt *onz)

750:    Collective

752:    Input Parameters:
753: +  comm - the communicator that will share the eventually allocated matrix
754: .  nrows - the number of LOCAL rows in the matrix
755: -  ncols - the number of LOCAL columns in the matrix

757:    Output Parameters:
758: +  dnz - the array that will be passed to the matrix preallocation routines
759: -  onz - the other array passed to the matrix preallocation routines

761:    Level: intermediate

763:    Notes:
764:     See Users-Manual: ch_performance for more details.

766:    Do not malloc or free dnz and onz, that is handled internally by these routines

768:    This is a MACRO not a function because it has a leading { that is closed by PetscPreallocateFinalize().

770: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
771:           MatPreallocateSymmetricSetLocalBlock()
772: M*/
773: #define MatPreallocateInitialize(comm,nrows,ncols,dnz,onz) 0; \
774: do { \
775:   PetscErrorCode _4_ierr; PetscInt __nrows = (nrows),__ncols = (ncols),__rstart,__start,__end; \
776:   _4_PetscCalloc2((size_t)__nrows,&dnz,(size_t)__nrows,&onz);CHKERRQ(_4_ierr); \
777:   __start = 0; __end = __start;                                         \
778:   _4_MPI_Scan(&__ncols,&__end,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __start = __end - __ncols;\
779:   _4_MPI_Scan(&__nrows,&__rstart,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __rstart = __rstart - __nrows; \
780:   do { } while (0)

782: /*MC
783:    MatPreallocateSetLocal - Indicates the locations (rows and columns) in the matrix where nonzeros will be
784:        inserted using a local number of the rows and columns

786:    Synopsis:
787: #include <petscmat.h>
788:    PetscErrorCode MatPreallocateSetLocal(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)

790:    Not Collective

792:    Input Parameters:
793: +  map - the row mapping from local numbering to global numbering
794: .  nrows - the number of rows indicated
795: .  rows - the indices of the rows
796: .  cmap - the column mapping from local to global numbering
797: .  ncols - the number of columns in the matrix
798: .  cols - the columns indicated
799: .  dnz - the array that will be passed to the matrix preallocation routines
800: -  onz - the other array passed to the matrix preallocation routines

802:    Level: intermediate

804:    Notes:
805:     See Users-Manual: ch_performance for more details.

807:    Do not malloc or free dnz and onz, that is handled internally by these routines

809: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
810:           MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock(), MatPreallocateSetLocalRemoveDups()
811: M*/
812: #define MatPreallocateSetLocal(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
813: do {\
814:   PetscInt __l;\
815:   _4_ISLocalToGlobalMappingApply(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
816:   _4_ISLocalToGlobalMappingApply(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
817:   for (__l=0;__l<nrows;__l++) {\
818:     _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
819:   }\
820:  } while (0)

822: /*MC
823:    MatPreallocateSetLocalRemoveDups - Indicates the locations (rows and columns) in the matrix where nonzeros will be
824:        inserted using a local number of the rows and columns. This version removes any duplicate columns in cols

826:    Synopsis:
827: #include <petscmat.h>
828:    PetscErrorCode MatPreallocateSetLocalRemoveDups(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)

830:    Not Collective

832:    Input Parameters:
833: +  map - the row mapping from local numbering to global numbering
834: .  nrows - the number of rows indicated
835: .  rows - the indices of the rows (these values are mapped to the global values)
836: .  cmap - the column mapping from local to global numbering
837: .  ncols - the number of columns in the matrix   (this value will be changed if duplicate columns are found)
838: .  cols - the columns indicated (these values are mapped to the global values, they are then sorted and duplicates removed)
839: .  dnz - the array that will be passed to the matrix preallocation routines
840: -  onz - the other array passed to the matrix preallocation routines

842:    Level: intermediate

844:    Notes:
845:     See Users-Manual: ch_performance for more details.

847:    Do not malloc or free dnz and onz, that is handled internally by these routines

849: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
850:           MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock(), MatPreallocateSetLocal()
851: M*/
852: #define MatPreallocateSetLocalRemoveDups(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
853: do {\
854:   PetscInt __l;\
855:   _4_ISLocalToGlobalMappingApply(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
856:   _4_ISLocalToGlobalMappingApply(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
857:   _4_PetscSortRemoveDupsInt(&ncols,cols);CHKERRQ(_4_ierr);\
858:   for (__l=0;__l<nrows;__l++) {\
859:     _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
860:   }\
861:  } while (0)

863: /*MC
864:    MatPreallocateSetLocalBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
865:        inserted using a local number of the rows and columns

867:    Synopsis:
868: #include <petscmat.h>
869:    PetscErrorCode MatPreallocateSetLocalBlock(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)

871:    Not Collective

873:    Input Parameters:
874: +  map - the row mapping from local numbering to global numbering
875: .  nrows - the number of rows indicated
876: .  rows - the indices of the rows
877: .  cmap - the column mapping from local to global numbering
878: .  ncols - the number of columns in the matrix
879: .  cols - the columns indicated
880: .  dnz - the array that will be passed to the matrix preallocation routines
881: -  onz - the other array passed to the matrix preallocation routines

883:    Level: intermediate

885:    Notes:
886:     See Users-Manual: ch_performance for more details.

888:    Do not malloc or free dnz and onz, that is handled internally by these routines

890: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
891:           MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock()
892: M*/
893: #define MatPreallocateSetLocalBlock(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
894: do {\
895:   PetscInt __l;\
896:   _4_ISLocalToGlobalMappingApplyBlock(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
897:   _4_ISLocalToGlobalMappingApplyBlock(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
898:   for (__l=0;__l<nrows;__l++) {\
899:     _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
900:   }\
901: } while (0)

903: /*MC
904:    MatPreallocateSymmetricSetLocalBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
905:        inserted using a local number of the rows and columns

907:    Synopsis:
908: #include <petscmat.h>
909:    PetscErrorCode MatPreallocateSymmetricSetLocalBlock(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)

911:    Not Collective

913:    Input Parameters:
914: +  map - the mapping between local numbering and global numbering
915: .  nrows - the number of rows indicated
916: .  rows - the indices of the rows
917: .  ncols - the number of columns in the matrix
918: .  cols - the columns indicated
919: .  dnz - the array that will be passed to the matrix preallocation routines
920: -  onz - the other array passed to the matrix preallocation routines

922:    Level: intermediate

924:    Notes:
925:     See Users-Manual: ch_performance for more details.

927:    Do not malloc or free dnz and onz that is handled internally by these routines

929: .seealso: MatPreallocateFinalize(), MatPreallocateSet()
930:           MatPreallocateInitialize(),  MatPreallocateSetLocal()
931: M*/
932: #define MatPreallocateSymmetricSetLocalBlock(map,nrows,rows,ncols,cols,dnz,onz) 0;\
933: do {\
934:   PetscInt __l;\
935:   _4_ISLocalToGlobalMappingApplyBlock(map,nrows,rows,rows);CHKERRQ(_4_ierr);\
936:   _4_ISLocalToGlobalMappingApplyBlock(map,ncols,cols,cols);CHKERRQ(_4_ierr);\
937:   for (__l=0;__l<nrows;__l++) {\
938:     _4_MatPreallocateSymmetricSetBlock((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
939:   }\
940: } while (0)

942: /*MC
943:    MatPreallocateSet - Indicates the locations (rows and columns) in the matrix where nonzeros will be
944:        inserted using a local number of the rows and columns

946:    Synopsis:
947: #include <petscmat.h>
948:    PetscErrorCode MatPreallocateSet(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)

950:    Not Collective

952:    Input Parameters:
953: +  row - the row
954: .  ncols - the number of columns in the matrix
955: -  cols - the columns indicated

957:    Output Parameters:
958: +  dnz - the array that will be passed to the matrix preallocation routines
959: -  onz - the other array passed to the matrix preallocation routines

961:    Level: intermediate

963:    Notes:
964:     See Users-Manual: ch_performance for more details.

966:    Do not malloc or free dnz and onz that is handled internally by these routines

968:    This is a MACRO not a function because it uses variables declared in MatPreallocateInitialize().

970: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
971:           MatPreallocateInitialize(), MatPreallocateSetLocal()
972: M*/
973: #define MatPreallocateSet(row,nc,cols,dnz,onz) 0;\
974: do { PetscInt __i; \
975:   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);\
976:   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);\
977:   for (__i=0; __i<nc; __i++) {\
978:     if ((cols)[__i] < __start || (cols)[__i] >= __end) onz[row - __rstart]++; \
979:     else if (dnz[row - __rstart] < __ncols) dnz[row - __rstart]++;\
980:   }\
981: } while (0)

983: /*MC
984:    MatPreallocateSymmetricSetBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
985:        inserted using a local number of the rows and columns

987:    Synopsis:
988: #include <petscmat.h>
989:    PetscErrorCode MatPreallocateSymmetricSetBlock(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)

991:    Not Collective

993:    Input Parameters:
994: +  nrows - the number of rows indicated
995: .  rows - the indices of the rows
996: .  ncols - the number of columns in the matrix
997: .  cols - the columns indicated
998: .  dnz - the array that will be passed to the matrix preallocation routines
999: -  onz - the other array passed to the matrix preallocation routines

1001:    Level: intermediate

1003:    Notes:
1004:     See Users-Manual: ch_performance for more details.

1006:    Do not malloc or free dnz and onz that is handled internally by these routines

1008:    This is a MACRO not a function because it uses variables declared in MatPreallocateInitialize().

1010: .seealso: MatPreallocateFinalize(), MatPreallocateSet(),  MatPreallocateInitialize(),
1011:           MatPreallocateSymmetricSetLocalBlock(), MatPreallocateSetLocal()
1012: M*/
1013: #define MatPreallocateSymmetricSetBlock(row,nc,cols,dnz,onz) 0;\
1014: do { PetscInt __i; \
1015:   for (__i=0; __i<nc; __i++) {\
1016:     if (cols[__i] >= __end) onz[row - __rstart]++; \
1017:     else if (cols[__i] >= row && dnz[row - __rstart] < __ncols) dnz[row - __rstart]++;\
1018:   }\
1019: } while (0)

1021: /*MC
1022:    MatPreallocateLocation -  An alternative to MatPreallocateSet() that puts the nonzero locations into the matrix if it exists

1024:    Synopsis:
1025: #include <petscmat.h>
1026:    PetscErrorCode MatPreallocateLocations(Mat A,PetscInt row,PetscInt ncols,PetscInt *cols,PetscInt *dnz,PetscInt *onz)

1028:    Not Collective

1030:    Input Parameters:
1031: +  A - matrix
1032: .  row - row where values exist (must be local to this process)
1033: .  ncols - number of columns
1034: .  cols - columns with nonzeros
1035: .  dnz - the array that will be passed to the matrix preallocation routines
1036: -  onz - the other array passed to the matrix preallocation routines

1038:    Level: intermediate

1040:    Notes:
1041:     See Users-Manual: ch_performance for more details.

1043:    Do not malloc or free dnz and onz that is handled internally by these routines

1045:    This is a MACRO not a function because it uses a bunch of variables private to the MatPreallocation.... routines.

1047: .seealso: MatPreallocateInitialize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
1048:           MatPreallocateSymmetricSetLocalBlock()
1049: M*/
1050: #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)


1053: /*MC
1054:    MatPreallocateFinalize - Ends the block of code that will count the number of nonzeros per
1055:        row in a matrix providing the data that one can use to correctly preallocate the matrix.

1057:    Synopsis:
1058: #include <petscmat.h>
1059:    PetscErrorCode MatPreallocateFinalize(PetscInt *dnz, PetscInt *onz)

1061:    Collective

1063:    Input Parameters:
1064: +  dnz - the array that was be passed to the matrix preallocation routines
1065: -  onz - the other array passed to the matrix preallocation routines

1067:    Level: intermediate

1069:    Notes:
1070:     See Users-Manual: ch_performance for more details.

1072:    Do not malloc or free dnz and onz that is handled internally by these routines

1074:    This is a MACRO not a function because it closes the { started in MatPreallocateInitialize().

1076: .seealso: MatPreallocateInitialize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
1077:           MatPreallocateSymmetricSetLocalBlock()
1078: M*/
1079: #define MatPreallocateFinalize(dnz,onz) 0;_4_PetscFree2(dnz,onz);CHKERRQ(_4_ierr);} while (0)

1081: /* Routines unique to particular data structures */
1082: PETSC_EXTERN PetscErrorCode MatShellGetContext(Mat,void *);

1084: PETSC_EXTERN PetscErrorCode MatInodeAdjustForInodes(Mat,IS*,IS*);
1085: PETSC_EXTERN PetscErrorCode MatInodeGetInodeSizes(Mat,PetscInt *,PetscInt *[],PetscInt *);

1087: PETSC_EXTERN PetscErrorCode MatSeqAIJSetColumnIndices(Mat,PetscInt[]);
1088: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetColumnIndices(Mat,PetscInt[]);
1089: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
1090: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
1091: PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
1092: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJFromTriple(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*,PetscInt,PetscBool);

1094: #define MAT_SKIP_ALLOCATION -4

1096: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
1097: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
1098: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocation(Mat,PetscInt,const PetscInt[]);
1099: PETSC_EXTERN PetscErrorCode MatSeqAIJSetTotalPreallocation(Mat,PetscInt);

1101: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1102: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1103: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1104: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocationCSR(Mat,const PetscInt [],const PetscInt [],const PetscScalar []);
1105: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
1106: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocationCSR(Mat,const PetscInt[],const PetscInt[],const PetscScalar[]);
1107: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
1108: PETSC_EXTERN PetscErrorCode MatMPIAdjSetPreallocation(Mat,PetscInt[],PetscInt[],PetscInt[]);
1109: PETSC_EXTERN PetscErrorCode MatMPIAdjToSeq(Mat,Mat*);
1110: PETSC_EXTERN PetscErrorCode MatMPIDenseSetPreallocation(Mat,PetscScalar[]);
1111: PETSC_EXTERN PetscErrorCode MatSeqDenseSetPreallocation(Mat,PetscScalar[]);
1112: PETSC_EXTERN PetscErrorCode MatMPIAIJGetSeqAIJ(Mat,Mat*,Mat*,const PetscInt*[]);
1113: PETSC_EXTERN PetscErrorCode MatMPIBAIJGetSeqBAIJ(Mat,Mat*,Mat*,const PetscInt*[]);
1114: PETSC_EXTERN PetscErrorCode MatMPIAdjCreateNonemptySubcommMat(Mat,Mat*);

1116: PETSC_EXTERN PetscErrorCode MatDenseGetLDA(Mat,PetscInt*);
1117: PETSC_EXTERN PetscErrorCode MatDenseSetLDA(Mat,PetscInt);
1118: PETSC_DEPRECATED_FUNCTION("Use MatDenseSetLDA() (since version 3.14)") PETSC_STATIC_INLINE PetscErrorCode MatSeqDenseSetLDA(Mat A,PetscInt lda) {return MatDenseSetLDA(A,lda);}
1119: PETSC_EXTERN PetscErrorCode MatDenseGetLocalMatrix(Mat,Mat*);

1121: PETSC_EXTERN PetscErrorCode MatBlockMatSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);

1123: PETSC_EXTERN PetscErrorCode MatStoreValues(Mat);
1124: PETSC_EXTERN PetscErrorCode MatRetrieveValues(Mat);

1126: PETSC_EXTERN PetscErrorCode MatFindNonzeroRows(Mat,IS*);
1127: PETSC_EXTERN PetscErrorCode MatFindZeroRows(Mat,IS*);
1128: /*
1129:   These routines are not usually accessed directly, rather solving is
1130:   done through the KSP and PC interfaces.
1131: */

1133: /*J
1134:     MatOrderingType - String with the name of a PETSc matrix ordering

1136:    Level: beginner

1138:    Notes:
1139:       If MATORDERINGEXTERNAL is used then PETSc does not compute an ordering and utilizes one built into the factorization package

1141: .seealso: MatGetOrdering()
1142: J*/
1143: typedef const char* MatOrderingType;
1144: #define MATORDERINGNATURAL        "natural"
1145: #define MATORDERINGND             "nd"
1146: #define MATORDERING1WD            "1wd"
1147: #define MATORDERINGRCM            "rcm"
1148: #define MATORDERINGQMD            "qmd"
1149: #define MATORDERINGROWLENGTH      "rowlength"
1150: #define MATORDERINGWBM            "wbm"
1151: #define MATORDERINGSPECTRAL       "spectral"
1152: #define MATORDERINGAMD            "amd"            /* only works if UMFPACK is installed with PETSc */
1153: #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 */
1154: #define MATORDERINGEXTERNAL       "external"       /* uses an ordering type internal to the factorization package */

1156: PETSC_EXTERN PetscErrorCode MatGetOrdering(Mat,MatOrderingType,IS*,IS*);
1157: PETSC_EXTERN PetscErrorCode MatGetOrderingList(PetscFunctionList*);
1158: PETSC_EXTERN PetscErrorCode MatOrderingRegister(const char[],PetscErrorCode(*)(Mat,MatOrderingType,IS*,IS*));
1159: PETSC_EXTERN PetscFunctionList MatOrderingList;

1161: PETSC_EXTERN PetscErrorCode MatReorderForNonzeroDiagonal(Mat,PetscReal,IS,IS);
1162: PETSC_EXTERN PetscErrorCode MatCreateLaplacian(Mat,PetscReal,PetscBool,Mat*);

1164: /*S
1165:     MatFactorShiftType - Numeric Shift for factorizations

1167:    Level: beginner

1169: .seealso: MatGetFactor()
1170: S*/
1171: typedef enum {MAT_SHIFT_NONE,MAT_SHIFT_NONZERO,MAT_SHIFT_POSITIVE_DEFINITE,MAT_SHIFT_INBLOCKS} MatFactorShiftType;
1172: PETSC_EXTERN const char *const MatFactorShiftTypes[];
1173: PETSC_EXTERN const char *const MatFactorShiftTypesDetail[];

1175: /*S
1176:     MatFactorError - indicates what type of error was generated in a matrix factorization

1178:     Level: beginner

1180:     Developer Notes:
1181:     Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h

1183: .seealso: MatGetFactor()
1184: S*/
1185: typedef enum {MAT_FACTOR_NOERROR,MAT_FACTOR_STRUCT_ZEROPIVOT,MAT_FACTOR_NUMERIC_ZEROPIVOT,MAT_FACTOR_OUTMEMORY,MAT_FACTOR_OTHER} MatFactorError;

1187: PETSC_EXTERN PetscErrorCode MatFactorGetError(Mat,MatFactorError*);
1188: PETSC_EXTERN PetscErrorCode MatFactorClearError(Mat);
1189: PETSC_EXTERN PetscErrorCode MatFactorGetErrorZeroPivot(Mat,PetscReal*,PetscInt*);

1191: /*S
1192:    MatFactorInfo - Data passed into the matrix factorization routines, and information about the resulting factorization

1194:    In Fortran these are simply double precision arrays of size MAT_FACTORINFO_SIZE, that is use
1195: $     MatFactorInfo  info(MAT_FACTORINFO_SIZE)

1197:    Notes:
1198:     These are not usually directly used by users, instead use PC type of LU, ILU, CHOLESKY or ICC.

1200:       You can use MatFactorInfoInitialize() to set default values.

1202:    Level: developer

1204: .seealso: MatLUFactorSymbolic(), MatILUFactorSymbolic(), MatCholeskyFactorSymbolic(), MatICCFactorSymbolic(), MatICCFactor(),
1205:           MatFactorInfoInitialize()

1207: S*/
1208: typedef struct {
1209:   PetscReal     diagonal_fill;  /* force diagonal to fill in if initially not filled */
1210:   PetscReal     usedt;
1211:   PetscReal     dt;             /* drop tolerance */
1212:   PetscReal     dtcol;          /* tolerance for pivoting */
1213:   PetscReal     dtcount;        /* maximum nonzeros to be allowed per row */
1214:   PetscReal     fill;           /* expected fill, nonzeros in factored matrix/nonzeros in original matrix */
1215:   PetscReal     levels;         /* ICC/ILU(levels) */
1216:   PetscReal     pivotinblocks;  /* for BAIJ and SBAIJ matrices pivot in factorization on blocks, default 1.0
1217:                                    factorization may be faster if do not pivot */
1218:   PetscReal     zeropivot;      /* pivot is called zero if less than this */
1219:   PetscReal     shifttype;      /* type of shift added to matrix factor to prevent zero pivots */
1220:   PetscReal     shiftamount;     /* how large the shift is */
1221: } MatFactorInfo;

1223: PETSC_EXTERN PetscErrorCode MatFactorInfoInitialize(MatFactorInfo*);
1224: PETSC_EXTERN PetscErrorCode MatCholeskyFactor(Mat,IS,const MatFactorInfo*);
1225: PETSC_EXTERN PetscErrorCode MatCholeskyFactorSymbolic(Mat,Mat,IS,const MatFactorInfo*);
1226: PETSC_EXTERN PetscErrorCode MatCholeskyFactorNumeric(Mat,Mat,const MatFactorInfo*);
1227: PETSC_EXTERN PetscErrorCode MatLUFactor(Mat,IS,IS,const MatFactorInfo*);
1228: PETSC_EXTERN PetscErrorCode MatILUFactor(Mat,IS,IS,const MatFactorInfo*);
1229: PETSC_EXTERN PetscErrorCode MatLUFactorSymbolic(Mat,Mat,IS,IS,const MatFactorInfo*);
1230: PETSC_EXTERN PetscErrorCode MatILUFactorSymbolic(Mat,Mat,IS,IS,const MatFactorInfo*);
1231: PETSC_EXTERN PetscErrorCode MatICCFactorSymbolic(Mat,Mat,IS,const MatFactorInfo*);
1232: PETSC_EXTERN PetscErrorCode MatICCFactor(Mat,IS,const MatFactorInfo*);
1233: PETSC_EXTERN PetscErrorCode MatLUFactorNumeric(Mat,Mat,const MatFactorInfo*);
1234: PETSC_EXTERN PetscErrorCode MatGetInertia(Mat,PetscInt*,PetscInt*,PetscInt*);
1235: PETSC_EXTERN PetscErrorCode MatSolve(Mat,Vec,Vec);
1236: PETSC_EXTERN PetscErrorCode MatForwardSolve(Mat,Vec,Vec);
1237: PETSC_EXTERN PetscErrorCode MatBackwardSolve(Mat,Vec,Vec);
1238: PETSC_EXTERN PetscErrorCode MatSolveAdd(Mat,Vec,Vec,Vec);
1239: PETSC_EXTERN PetscErrorCode MatSolveTranspose(Mat,Vec,Vec);
1240: PETSC_EXTERN PetscErrorCode MatSolveTransposeAdd(Mat,Vec,Vec,Vec);
1241: PETSC_EXTERN PetscErrorCode MatSolves(Mat,Vecs,Vecs);
1242: PETSC_EXTERN PetscErrorCode MatSetUnfactored(Mat);

1244: typedef enum {MAT_FACTOR_SCHUR_UNFACTORED, MAT_FACTOR_SCHUR_FACTORED, MAT_FACTOR_SCHUR_INVERTED} MatFactorSchurStatus;
1245: PETSC_EXTERN PetscErrorCode MatFactorSetSchurIS(Mat,IS);
1246: PETSC_EXTERN PetscErrorCode MatFactorGetSchurComplement(Mat,Mat*,MatFactorSchurStatus*);
1247: PETSC_EXTERN PetscErrorCode MatFactorRestoreSchurComplement(Mat,Mat*,MatFactorSchurStatus);
1248: PETSC_EXTERN PetscErrorCode MatFactorInvertSchurComplement(Mat);
1249: PETSC_EXTERN PetscErrorCode MatFactorCreateSchurComplement(Mat,Mat*,MatFactorSchurStatus*);
1250: PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplement(Mat,Vec,Vec);
1251: PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplementTranspose(Mat,Vec,Vec);
1252: PETSC_EXTERN PetscErrorCode MatFactorFactorizeSchurComplement(Mat);

1254: /*E
1255:     MatSORType - What type of (S)SOR to perform

1257:     Level: beginner

1259:    May be bitwise ORd together

1261:    Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h

1263:    MatSORType may be bitwise ORd together, so do not change the numbers

1265: .seealso: MatSOR()
1266: E*/
1267: typedef enum {SOR_FORWARD_SWEEP=1,SOR_BACKWARD_SWEEP=2,SOR_SYMMETRIC_SWEEP=3,
1268:               SOR_LOCAL_FORWARD_SWEEP=4,SOR_LOCAL_BACKWARD_SWEEP=8,
1269:               SOR_LOCAL_SYMMETRIC_SWEEP=12,SOR_ZERO_INITIAL_GUESS=16,
1270:               SOR_EISENSTAT=32,SOR_APPLY_UPPER=64,SOR_APPLY_LOWER=128} MatSORType;
1271: PETSC_EXTERN PetscErrorCode MatSOR(Mat,Vec,PetscReal,MatSORType,PetscReal,PetscInt,PetscInt,Vec);

1273: /*
1274:     These routines are for efficiently computing Jacobians via finite differences.
1275: */

1277: /*S
1278:      MatColoring - Object for managing the coloring of matrices.

1280:    Level: beginner

1282:     Notes:
1283:        Coloring of matrices can be computed directly from the sparse matrix nonzero structure via the MatColoring object or from the mesh from which the
1284:        matrix comes from via DMCreateColoring(). In general using the mesh produces a more optimal coloring (fewer colors).

1286:        Once a coloring is available MatFDColoringCreate() creates an object that can be used to efficiently compute Jacobians using that coloring. This
1287:        same object can also be used to efficiently convert data created by Automatic Differentation tools to PETSc sparse matrices.

1289: .seealso:  MatFDColoringCreate(), MatColoringWeightType, ISColoring, MatFDColoring, DMCreateColoring(), MatColoringCreate(), MatOrdering, MatPartitioning
1290: S*/
1291: typedef struct _p_MatColoring* MatColoring;

1293: /*J
1294:     MatColoringType - String with the name of a PETSc matrix coloring

1296:    Level: beginner

1298: .seealso: MatColoringSetType(), MatColoring
1299: J*/
1300: typedef const  char*           MatColoringType;
1301: #define MATCOLORINGJP      "jp"
1302: #define MATCOLORINGPOWER   "power"
1303: #define MATCOLORINGNATURAL "natural"
1304: #define MATCOLORINGSL      "sl"
1305: #define MATCOLORINGLF      "lf"
1306: #define MATCOLORINGID      "id"
1307: #define MATCOLORINGGREEDY  "greedy"

1309: /*E
1310:    MatColoringWeightType - Type of weight scheme

1312:     Not Collective

1314: +   MAT_COLORING_RANDOM  - Random weights
1315: .   MAT_COLORING_LEXICAL - Lexical weighting based upon global numbering.
1316: -   MAT_COLORING_LF      - Last-first weighting.

1318:     Level: intermediate

1320:    Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h

1322: .seealso: MatColoring, MatColoringCreate()
1323: E*/
1324: typedef enum {MAT_COLORING_WEIGHT_RANDOM,MAT_COLORING_WEIGHT_LEXICAL,MAT_COLORING_WEIGHT_LF,MAT_COLORING_WEIGHT_SL} MatColoringWeightType;

1326: PETSC_EXTERN PetscErrorCode MatColoringCreate(Mat,MatColoring*);
1327: PETSC_EXTERN PetscErrorCode MatColoringGetDegrees(Mat,PetscInt,PetscInt*);
1328: PETSC_EXTERN PetscErrorCode MatColoringDestroy(MatColoring*);
1329: PETSC_EXTERN PetscErrorCode MatColoringView(MatColoring,PetscViewer);
1330: PETSC_EXTERN PetscErrorCode MatColoringSetType(MatColoring,MatColoringType);
1331: PETSC_EXTERN PetscErrorCode MatColoringSetFromOptions(MatColoring);
1332: PETSC_EXTERN PetscErrorCode MatColoringSetDistance(MatColoring,PetscInt);
1333: PETSC_EXTERN PetscErrorCode MatColoringGetDistance(MatColoring,PetscInt*);
1334: PETSC_EXTERN PetscErrorCode MatColoringSetMaxColors(MatColoring,PetscInt);
1335: PETSC_EXTERN PetscErrorCode MatColoringGetMaxColors(MatColoring,PetscInt*);
1336: PETSC_EXTERN PetscErrorCode MatColoringApply(MatColoring,ISColoring*);
1337: PETSC_EXTERN PetscErrorCode MatColoringRegister(const char[],PetscErrorCode(*)(MatColoring));
1338: PETSC_EXTERN PetscErrorCode MatColoringPatch(Mat,PetscInt,PetscInt,ISColoringValue[],ISColoring*);
1339: PETSC_EXTERN PetscErrorCode MatColoringSetWeightType(MatColoring,MatColoringWeightType);
1340: PETSC_EXTERN PetscErrorCode MatColoringSetWeights(MatColoring,PetscReal*,PetscInt*);
1341: PETSC_EXTERN PetscErrorCode MatColoringCreateWeights(MatColoring,PetscReal **,PetscInt **lperm);
1342: PETSC_EXTERN PetscErrorCode MatColoringTest(MatColoring,ISColoring);
1343: PETSC_DEPRECATED_FUNCTION("Use MatColoringTest() (since version 3.10)") PETSC_STATIC_INLINE PetscErrorCode MatColoringTestValid(MatColoring matcoloring,ISColoring iscoloring) {return MatColoringTest(matcoloring,iscoloring);}
1344: PETSC_EXTERN PetscErrorCode MatISColoringTest(Mat,ISColoring);

1346: /*S
1347:      MatFDColoring - Object for computing a sparse Jacobian via finite differences
1348:         and coloring

1350:    Level: beginner

1352:    Notes:
1353:       This object is creating utilizing a coloring provided by the MatColoring object or DMCreateColoring()

1355: .seealso:  MatFDColoringCreate(), MatColoring, DMCreateColoring()
1356: S*/
1357: typedef struct _p_MatFDColoring* MatFDColoring;

1359: PETSC_EXTERN PetscErrorCode MatFDColoringCreate(Mat,ISColoring,MatFDColoring *);
1360: PETSC_EXTERN PetscErrorCode MatFDColoringDestroy(MatFDColoring*);
1361: PETSC_EXTERN PetscErrorCode MatFDColoringView(MatFDColoring,PetscViewer);
1362: PETSC_EXTERN PetscErrorCode MatFDColoringSetFunction(MatFDColoring,PetscErrorCode (*)(void),void*);
1363: PETSC_EXTERN PetscErrorCode MatFDColoringGetFunction(MatFDColoring,PetscErrorCode (**)(void),void**);
1364: PETSC_EXTERN PetscErrorCode MatFDColoringSetParameters(MatFDColoring,PetscReal,PetscReal);
1365: PETSC_EXTERN PetscErrorCode MatFDColoringSetFromOptions(MatFDColoring);
1366: PETSC_EXTERN PetscErrorCode MatFDColoringApply(Mat,MatFDColoring,Vec,void *);
1367: PETSC_EXTERN PetscErrorCode MatFDColoringSetF(MatFDColoring,Vec);
1368: PETSC_EXTERN PetscErrorCode MatFDColoringGetPerturbedColumns(MatFDColoring,PetscInt*,const PetscInt*[]);
1369: PETSC_EXTERN PetscErrorCode MatFDColoringSetUp(Mat,ISColoring,MatFDColoring);
1370: PETSC_EXTERN PetscErrorCode MatFDColoringSetBlockSize(MatFDColoring,PetscInt,PetscInt);
1371: PETSC_EXTERN PetscErrorCode MatFDColoringSetValues(Mat,MatFDColoring,const PetscScalar*);

1373: /*S
1374:      MatTransposeColoring - Object for computing a sparse matrix product C=A*B^T via coloring

1376:    Level: beginner

1378: .seealso:  MatTransposeColoringCreate()
1379: S*/
1380: typedef struct _p_MatTransposeColoring* MatTransposeColoring;

1382: PETSC_EXTERN PetscErrorCode MatTransposeColoringCreate(Mat,ISColoring,MatTransposeColoring *);
1383: PETSC_EXTERN PetscErrorCode MatTransColoringApplySpToDen(MatTransposeColoring,Mat,Mat);
1384: PETSC_EXTERN PetscErrorCode MatTransColoringApplyDenToSp(MatTransposeColoring,Mat,Mat);
1385: PETSC_EXTERN PetscErrorCode MatTransposeColoringDestroy(MatTransposeColoring*);

1387: /*
1388:     These routines are for partitioning matrices: currently used only
1389:   for adjacency matrix, MatCreateMPIAdj().
1390: */

1392: /*S
1393:      MatPartitioning - Object for managing the partitioning of a matrix or graph

1395:    Level: beginner

1397:    Notes:
1398:      There is also a PetscPartitioner object that provides the same functionality. It can utilize the MatPartitioning operations
1399:      via PetscPartitionerSetType(p,PETSCPARTITIONERMATPARTITIONING)

1401:    Developers Note:
1402:      It is an extra maintainance and documentation cost to have two objects with the same functionality.

1404: .seealso:  MatPartitioningCreate(), MatPartitioningType, MatColoring, MatGetOrdering()
1405: S*/
1406: typedef struct _p_MatPartitioning* MatPartitioning;

1408: /*J
1409:     MatPartitioningType - String with the name of a PETSc matrix partitioning

1411:    Level: beginner
1412: dm
1413: .seealso: MatPartitioningCreate(), MatPartitioning
1414: J*/
1415: typedef const char* MatPartitioningType;
1416: #define MATPARTITIONINGCURRENT  "current"
1417: #define MATPARTITIONINGAVERAGE   "average"
1418: #define MATPARTITIONINGSQUARE   "square"
1419: #define MATPARTITIONINGPARMETIS "parmetis"
1420: #define MATPARTITIONINGCHACO    "chaco"
1421: #define MATPARTITIONINGPARTY    "party"
1422: #define MATPARTITIONINGPTSCOTCH "ptscotch"
1423: #define MATPARTITIONINGHIERARCH  "hierarch"

1425: PETSC_EXTERN PetscErrorCode MatPartitioningCreate(MPI_Comm,MatPartitioning*);
1426: PETSC_EXTERN PetscErrorCode MatPartitioningSetType(MatPartitioning,MatPartitioningType);
1427: PETSC_EXTERN PetscErrorCode MatPartitioningSetNParts(MatPartitioning,PetscInt);
1428: PETSC_EXTERN PetscErrorCode MatPartitioningSetAdjacency(MatPartitioning,Mat);
1429: PETSC_EXTERN PetscErrorCode MatPartitioningSetVertexWeights(MatPartitioning,const PetscInt[]);
1430: PETSC_EXTERN PetscErrorCode MatPartitioningSetPartitionWeights(MatPartitioning,const PetscReal []);
1431: PETSC_EXTERN PetscErrorCode MatPartitioningSetUseEdgeWeights(MatPartitioning,PetscBool);
1432: PETSC_EXTERN PetscErrorCode MatPartitioningGetUseEdgeWeights(MatPartitioning,PetscBool*);
1433: PETSC_EXTERN PetscErrorCode MatPartitioningApply(MatPartitioning,IS*);
1434: PETSC_EXTERN PetscErrorCode MatPartitioningImprove(MatPartitioning,IS*);
1435: PETSC_EXTERN PetscErrorCode MatPartitioningViewImbalance(MatPartitioning,IS);
1436: PETSC_EXTERN PetscErrorCode MatPartitioningApplyND(MatPartitioning,IS*);
1437: PETSC_EXTERN PetscErrorCode MatPartitioningDestroy(MatPartitioning*);
1438: PETSC_EXTERN PetscErrorCode MatPartitioningRegister(const char[],PetscErrorCode (*)(MatPartitioning));
1439: PETSC_EXTERN PetscErrorCode MatPartitioningView(MatPartitioning,PetscViewer);
1440: PETSC_EXTERN PetscErrorCode MatPartitioningViewFromOptions(MatPartitioning,PetscObject,const char[]);
1441: PETSC_EXTERN PetscErrorCode MatPartitioningSetFromOptions(MatPartitioning);
1442: PETSC_EXTERN PetscErrorCode MatPartitioningGetType(MatPartitioning,MatPartitioningType*);

1444: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetRepartition(MatPartitioning part);
1445: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetCoarseSequential(MatPartitioning);
1446: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisGetEdgeCut(MatPartitioning, PetscInt *);

1448: typedef enum { MP_CHACO_MULTILEVEL=1,MP_CHACO_SPECTRAL=2,MP_CHACO_LINEAR=4,MP_CHACO_RANDOM=5,MP_CHACO_SCATTERED=6 } MPChacoGlobalType;
1449: PETSC_EXTERN const char *const MPChacoGlobalTypes[];
1450: typedef enum { MP_CHACO_KERNIGHAN=1,MP_CHACO_NONE=2 } MPChacoLocalType;
1451: PETSC_EXTERN const char *const MPChacoLocalTypes[];
1452: typedef enum { MP_CHACO_LANCZOS=0,MP_CHACO_RQI=1 } MPChacoEigenType;
1453: PETSC_EXTERN const char *const MPChacoEigenTypes[];

1455: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetGlobal(MatPartitioning,MPChacoGlobalType);
1456: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetGlobal(MatPartitioning,MPChacoGlobalType*);
1457: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetLocal(MatPartitioning,MPChacoLocalType);
1458: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetLocal(MatPartitioning,MPChacoLocalType*);
1459: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetCoarseLevel(MatPartitioning,PetscReal);
1460: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenSolver(MatPartitioning,MPChacoEigenType);
1461: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenSolver(MatPartitioning,MPChacoEigenType*);
1462: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenTol(MatPartitioning,PetscReal);
1463: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenTol(MatPartitioning,PetscReal*);
1464: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenNumber(MatPartitioning,PetscInt);
1465: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenNumber(MatPartitioning,PetscInt*);

1467: #define MP_PARTY_OPT "opt"
1468: #define MP_PARTY_LIN "lin"
1469: #define MP_PARTY_SCA "sca"
1470: #define MP_PARTY_RAN "ran"
1471: #define MP_PARTY_GBF "gbf"
1472: #define MP_PARTY_GCF "gcf"
1473: #define MP_PARTY_BUB "bub"
1474: #define MP_PARTY_DEF "def"
1475: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetGlobal(MatPartitioning,const char*);
1476: #define MP_PARTY_HELPFUL_SETS "hs"
1477: #define MP_PARTY_KERNIGHAN_LIN "kl"
1478: #define MP_PARTY_NONE "no"
1479: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetLocal(MatPartitioning,const char*);
1480: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetCoarseLevel(MatPartitioning,PetscReal);
1481: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetBipart(MatPartitioning,PetscBool);
1482: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetMatchOptimization(MatPartitioning,PetscBool);

1484: typedef enum { MP_PTSCOTCH_DEFAULT,MP_PTSCOTCH_QUALITY,MP_PTSCOTCH_SPEED,MP_PTSCOTCH_BALANCE,MP_PTSCOTCH_SAFETY,MP_PTSCOTCH_SCALABILITY } MPPTScotchStrategyType;
1485: PETSC_EXTERN const char *const MPPTScotchStrategyTypes[];

1487: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetImbalance(MatPartitioning,PetscReal);
1488: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetImbalance(MatPartitioning,PetscReal*);
1489: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetStrategy(MatPartitioning,MPPTScotchStrategyType);
1490: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetStrategy(MatPartitioning,MPPTScotchStrategyType*);

1492: /*
1493:  * hierarchical partitioning
1494:  */
1495: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetFineparts(MatPartitioning,IS*);
1496: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetCoarseparts(MatPartitioning,IS*);
1497: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNcoarseparts(MatPartitioning,PetscInt);
1498: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNfineparts(MatPartitioning, PetscInt);

1500: PETSC_EXTERN PetscErrorCode MatMeshToVertexGraph(Mat,PetscInt,Mat*);
1501: PETSC_EXTERN PetscErrorCode MatMeshToCellGraph(Mat,PetscInt,Mat*);

1503: /*
1504:     If you add entries here you must also add them to include/petscmat.h
1505:     and src/mat/f90-mod/petscmat.h
1506: */
1507: typedef enum { MATOP_SET_VALUES=0,
1508:                MATOP_GET_ROW=1,
1509:                MATOP_RESTORE_ROW=2,
1510:                MATOP_MULT=3,
1511:                MATOP_MULT_ADD=4,
1512:                MATOP_MULT_TRANSPOSE=5,
1513:                MATOP_MULT_TRANSPOSE_ADD=6,
1514:                MATOP_SOLVE=7,
1515:                MATOP_SOLVE_ADD=8,
1516:                MATOP_SOLVE_TRANSPOSE=9,
1517:                MATOP_SOLVE_TRANSPOSE_ADD=10,
1518:                MATOP_LUFACTOR=11,
1519:                MATOP_CHOLESKYFACTOR=12,
1520:                MATOP_SOR=13,
1521:                MATOP_TRANSPOSE=14,
1522:                MATOP_GETINFO=15,
1523:                MATOP_EQUAL=16,
1524:                MATOP_GET_DIAGONAL=17,
1525:                MATOP_DIAGONAL_SCALE=18,
1526:                MATOP_NORM=19,
1527:                MATOP_ASSEMBLY_BEGIN=20,
1528:                MATOP_ASSEMBLY_END=21,
1529:                MATOP_SET_OPTION=22,
1530:                MATOP_ZERO_ENTRIES=23,
1531:                MATOP_ZERO_ROWS=24,
1532:                MATOP_LUFACTOR_SYMBOLIC=25,
1533:                MATOP_LUFACTOR_NUMERIC=26,
1534:                MATOP_CHOLESKY_FACTOR_SYMBOLIC=27,
1535:                MATOP_CHOLESKY_FACTOR_NUMERIC=28,
1536:                MATOP_SETUP_PREALLOCATION=29,
1537:                MATOP_ILUFACTOR_SYMBOLIC=30,
1538:                MATOP_ICCFACTOR_SYMBOLIC=31,
1539:                MATOP_GET_DIAGONAL_BLOCK=32,
1540:                MATOP_FREE_INTER_STRUCT=33,
1541:                MATOP_DUPLICATE=34,
1542:                MATOP_FORWARD_SOLVE=35,
1543:                MATOP_BACKWARD_SOLVE=36,
1544:                MATOP_ILUFACTOR=37,
1545:                MATOP_ICCFACTOR=38,
1546:                MATOP_AXPY=39,
1547:                MATOP_CREATE_SUBMATRICES=40,
1548:                MATOP_INCREASE_OVERLAP=41,
1549:                MATOP_GET_VALUES=42,
1550:                MATOP_COPY=43,
1551:                MATOP_GET_ROW_MAX=44,
1552:                MATOP_SCALE=45,
1553:                MATOP_SHIFT=46,
1554:                MATOP_DIAGONAL_SET=47,
1555:                MATOP_ZERO_ROWS_COLUMNS=48,
1556:                MATOP_SET_RANDOM=49,
1557:                MATOP_GET_ROW_IJ=50,
1558:                MATOP_RESTORE_ROW_IJ=51,
1559:                MATOP_GET_COLUMN_IJ=52,
1560:                MATOP_RESTORE_COLUMN_IJ=53,
1561:                MATOP_FDCOLORING_CREATE=54,
1562:                MATOP_COLORING_PATCH=55,
1563:                MATOP_SET_UNFACTORED=56,
1564:                MATOP_PERMUTE=57,
1565:                MATOP_SET_VALUES_BLOCKED=58,
1566:                MATOP_CREATE_SUBMATRIX=59,
1567:                MATOP_DESTROY=60,
1568:                MATOP_VIEW=61,
1569:                MATOP_CONVERT_FROM=62,
1570:                MATOP_MATMAT_MULT=63,
1571:                MATOP_MATMAT_MULT_SYMBOLIC=64,
1572:                MATOP_MATMAT_MULT_NUMERIC=65,
1573:                MATOP_SET_LOCAL_TO_GLOBAL_MAP=66,
1574:                MATOP_SET_VALUES_LOCAL=67,
1575:                MATOP_ZERO_ROWS_LOCAL=68,
1576:                MATOP_GET_ROW_MAX_ABS=69,
1577:                MATOP_GET_ROW_MIN_ABS=70,
1578:                MATOP_CONVERT=71,
1579:                MATOP_SET_COLORING=72,
1580:                /* MATOP_PLACEHOLDER_73=73, */
1581:                MATOP_SET_VALUES_ADIFOR=74,
1582:                MATOP_FD_COLORING_APPLY=75,
1583:                MATOP_SET_FROM_OPTIONS=76,
1584:                MATOP_MULT_CONSTRAINED=77,
1585:                MATOP_MULT_TRANSPOSE_CONSTRAIN=78,
1586:                MATOP_FIND_ZERO_DIAGONALS=79,
1587:                MATOP_MULT_MULTIPLE=80,
1588:                MATOP_SOLVE_MULTIPLE=81,
1589:                MATOP_GET_INERTIA=82,
1590:                MATOP_LOAD=83,
1591:                MATOP_IS_SYMMETRIC=84,
1592:                MATOP_IS_HERMITIAN=85,
1593:                MATOP_IS_STRUCTURALLY_SYMMETRIC=86,
1594:                MATOP_SET_VALUES_BLOCKEDLOCAL=87,
1595:                MATOP_CREATE_VECS=88,
1596:                MATOP_MAT_MULT=89,
1597:                MATOP_MAT_MULT_SYMBOLIC=90,
1598:                MATOP_MAT_MULT_NUMERIC=91,
1599:                MATOP_PTAP=92,
1600:                MATOP_PTAP_SYMBOLIC=93,
1601:                MATOP_PTAP_NUMERIC=94,
1602:                MATOP_MAT_TRANSPOSE_MULT=95,
1603:                MATOP_MAT_TRANSPOSE_MULT_SYMBO=96,
1604:                MATOP_MAT_TRANSPOSE_MULT_NUMER=97,
1605:                /* MATOP_PLACEHOLDER_98=98, */
1606:                MATOP_PRODUCTSETFROMOPTIONS=99,
1607:                MATOP_PRODUCTSYMBOLIC=100,
1608:                MATOP_PRODUCTNUMERIC=101,
1609:                MATOP_CONJUGATE=102,
1610:                /* MATOP_PLACEHOLDER_103=103, */
1611:                MATOP_SET_VALUES_ROW=104,
1612:                MATOP_REAL_PART=105,
1613:                MATOP_IMAGINARY_PART=106,
1614:                MATOP_GET_ROW_UPPER_TRIANGULAR=107,
1615:                MATOP_RESTORE_ROW_UPPER_TRIANG=108,
1616:                MATOP_MAT_SOLVE=109,
1617:                MATOP_MAT_SOLVE_TRANSPOSE=110,
1618:                MATOP_GET_ROW_MIN=111,
1619:                MATOP_GET_COLUMN_VECTOR=112,
1620:                MATOP_MISSING_DIAGONAL=113,
1621:                MATOP_GET_SEQ_NONZERO_STRUCTUR=114,
1622:                MATOP_CREATE=115,
1623:                MATOP_GET_GHOSTS=116,
1624:                MATOP_GET_LOCAL_SUB_MATRIX=117,
1625:                MATOP_RESTORE_LOCALSUB_MATRIX=118,
1626:                MATOP_MULT_DIAGONAL_BLOCK=119,
1627:                MATOP_HERMITIAN_TRANSPOSE=120,
1628:                MATOP_MULT_HERMITIAN_TRANSPOSE=121,
1629:                MATOP_MULT_HERMITIAN_TRANS_ADD=122,
1630:                MATOP_GET_MULTI_PROC_BLOCK=123,
1631:                MATOP_FIND_NONZERO_ROWS=124,
1632:                MATOP_GET_COLUMN_NORMS=125,
1633:                MATOP_INVERT_BLOCK_DIAGONAL=126,
1634:                /* MATOP_PLACEHOLDER_127=127, */
1635:                MATOP_CREATE_SUB_MATRICES_MPI=128,
1636:                MATOP_SET_VALUES_BATCH=129,
1637:                MATOP_TRANSPOSE_MAT_MULT=130,
1638:                MATOP_TRANSPOSE_MAT_MULT_SYMBO=131,
1639:                MATOP_TRANSPOSE_MAT_MULT_NUMER=132,
1640:                MATOP_TRANSPOSE_COLORING_CREAT=133,
1641:                MATOP_TRANS_COLORING_APPLY_SPT=134,
1642:                MATOP_TRANS_COLORING_APPLY_DEN=135,
1643:                MATOP_RART=136,
1644:                MATOP_RART_SYMBOLIC=137,
1645:                MATOP_RART_NUMERIC=138,
1646:                MATOP_SET_BLOCK_SIZES=139,
1647:                MATOP_AYPX=140,
1648:                MATOP_RESIDUAL=141,
1649:                MATOP_FDCOLORING_SETUP=142,
1650:                MATOP_MPICONCATENATESEQ=144,
1651:                MATOP_DESTROYSUBMATRICES=145,
1652:                MATOP_TRANSPOSE_SOLVE=146,
1653:                MATOP_GET_VALUES_LOCAL=147
1654:              } MatOperation;
1655: PETSC_EXTERN PetscErrorCode MatSetOperation(Mat,MatOperation,void(*)(void));
1656: PETSC_EXTERN PetscErrorCode MatGetOperation(Mat,MatOperation,void(**)(void));
1657: PETSC_EXTERN PetscErrorCode MatHasOperation(Mat,MatOperation,PetscBool*);
1658: PETSC_EXTERN PetscErrorCode MatHasCongruentLayouts(Mat,PetscBool*);
1659: PETSC_DEPRECATED_FUNCTION("Use MatProductClear() (since version 3.14)") PETSC_STATIC_INLINE PetscErrorCode MatFreeIntermediateDataStructures(Mat A) {return MatProductClear(A);}
1660: PETSC_EXTERN PetscErrorCode MatShellSetOperation(Mat,MatOperation,void(*)(void));
1661: PETSC_EXTERN PetscErrorCode MatShellGetOperation(Mat,MatOperation,void(**)(void));
1662: PETSC_EXTERN PetscErrorCode MatShellSetContext(Mat,void*);
1663: PETSC_EXTERN PetscErrorCode MatShellSetVecType(Mat,VecType);
1664: PETSC_EXTERN PetscErrorCode MatShellTestMult(Mat,PetscErrorCode (*)(void*,Vec,Vec),Vec,void*,PetscBool*);
1665: PETSC_EXTERN PetscErrorCode MatShellTestMultTranspose(Mat,PetscErrorCode (*)(void*,Vec,Vec),Vec,void*,PetscBool*);
1666: PETSC_EXTERN PetscErrorCode MatShellSetManageScalingShifts(Mat);
1667: PETSC_EXTERN PetscErrorCode MatShellSetMatProductOperation(Mat,MatProductType,PetscErrorCode (*)(Mat,Mat,Mat,void**),PetscErrorCode (*)(Mat,Mat,Mat,void*),PetscErrorCode (*)(void*),MatType,MatType);
1668: PETSC_EXTERN PetscErrorCode MatIsShell(Mat,PetscBool*);

1670: /*
1671:    Codes for matrices stored on disk. By default they are
1672:    stored in a universal format. By changing the format with
1673:    PetscViewerPushFormat(viewer,PETSC_VIEWER_NATIVE); the matrices will
1674:    be stored in a way natural for the matrix, for example dense matrices
1675:    would be stored as dense. Matrices stored this way may only be
1676:    read into matrices of the same type.
1677: */
1678: #define MATRIX_BINARY_FORMAT_DENSE -1

1680: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetHashTableFactor(Mat,PetscReal);

1682: PETSC_EXTERN PetscErrorCode MatISSetLocalMatType(Mat,MatType);
1683: PETSC_EXTERN PetscErrorCode MatISSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1684: PETSC_EXTERN PetscErrorCode MatISStoreL2L(Mat,PetscBool);
1685: PETSC_EXTERN PetscErrorCode MatISFixLocalEmpty(Mat,PetscBool);
1686: PETSC_EXTERN PetscErrorCode MatISGetLocalMat(Mat,Mat*);
1687: PETSC_EXTERN PetscErrorCode MatISRestoreLocalMat(Mat,Mat*);
1688: PETSC_EXTERN PetscErrorCode MatISSetLocalMat(Mat,Mat);
1689: PETSC_EXTERN PETSC_DEPRECATED_FUNCTION("Use the MatConvert() interface (since version 3.10)") PetscErrorCode MatISGetMPIXAIJ(Mat,MatReuse,Mat*);

1691: /*S
1692:      MatNullSpace - Object that removes a null space from a vector, i.e.
1693:          orthogonalizes the vector to a subsapce

1695:    Level: advanced

1697:   Users manual sections:
1698: .   sec_singular

1700: .seealso:  MatNullSpaceCreate()
1701: S*/
1702: typedef struct _p_MatNullSpace* MatNullSpace;

1704: PETSC_EXTERN PetscErrorCode MatNullSpaceCreate(MPI_Comm,PetscBool ,PetscInt,const Vec[],MatNullSpace*);
1705: PETSC_EXTERN PetscErrorCode MatNullSpaceSetFunction(MatNullSpace,PetscErrorCode (*)(MatNullSpace,Vec,void*),void*);
1706: PETSC_EXTERN PetscErrorCode MatNullSpaceDestroy(MatNullSpace*);
1707: PETSC_EXTERN PetscErrorCode MatNullSpaceRemove(MatNullSpace,Vec);
1708: PETSC_EXTERN PetscErrorCode MatGetNullSpace(Mat, MatNullSpace *);
1709: PETSC_EXTERN PetscErrorCode MatGetTransposeNullSpace(Mat, MatNullSpace *);
1710: PETSC_EXTERN PetscErrorCode MatSetTransposeNullSpace(Mat,MatNullSpace);
1711: PETSC_EXTERN PetscErrorCode MatSetNullSpace(Mat,MatNullSpace);
1712: PETSC_EXTERN PetscErrorCode MatSetNearNullSpace(Mat,MatNullSpace);
1713: PETSC_EXTERN PetscErrorCode MatGetNearNullSpace(Mat,MatNullSpace*);
1714: PETSC_EXTERN PetscErrorCode MatNullSpaceTest(MatNullSpace,Mat,PetscBool  *);
1715: PETSC_EXTERN PetscErrorCode MatNullSpaceView(MatNullSpace,PetscViewer);
1716: PETSC_EXTERN PetscErrorCode MatNullSpaceGetVecs(MatNullSpace,PetscBool*,PetscInt*,const Vec**);
1717: PETSC_EXTERN PetscErrorCode MatNullSpaceCreateRigidBody(Vec,MatNullSpace*);

1719: PETSC_EXTERN PetscErrorCode MatReorderingSeqSBAIJ(Mat,IS);
1720: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetHashTableFactor(Mat,PetscReal);
1721: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetColumnIndices(Mat,PetscInt *);

1723: PETSC_EXTERN PetscErrorCode MatCreateMAIJ(Mat,PetscInt,Mat*);
1724: PETSC_EXTERN PetscErrorCode MatMAIJRedimension(Mat,PetscInt,Mat*);
1725: PETSC_EXTERN PetscErrorCode MatMAIJGetAIJ(Mat,Mat*);

1727: PETSC_EXTERN PetscErrorCode MatComputeOperator(Mat,MatType,Mat*);
1728: PETSC_EXTERN PetscErrorCode MatComputeOperatorTranspose(Mat,MatType,Mat*);

1730: PETSC_DEPRECATED_FUNCTION("Use MatComputeOperator() (since version 3.12)") PETSC_STATIC_INLINE PetscErrorCode MatComputeExplicitOperator(Mat A,Mat* B) { return MatComputeOperator(A,NULL,B); }
1731: PETSC_DEPRECATED_FUNCTION("Use MatComputeOperatorTranspose() (since version 3.12)") PETSC_STATIC_INLINE PetscErrorCode MatComputeExplicitOperatorTranspose(Mat A,Mat* B) { return MatComputeOperatorTranspose(A,NULL,B); }

1733: PETSC_EXTERN PetscErrorCode MatCreateKAIJ(Mat,PetscInt,PetscInt,const PetscScalar[],const PetscScalar[],Mat*);
1734: PETSC_EXTERN PetscErrorCode MatKAIJGetAIJ(Mat,Mat*);
1735: PETSC_EXTERN PetscErrorCode MatKAIJGetS(Mat,PetscInt*,PetscInt*,PetscScalar**);
1736: PETSC_EXTERN PetscErrorCode MatKAIJGetSRead(Mat,PetscInt*,PetscInt*,const PetscScalar**);
1737: PETSC_EXTERN PetscErrorCode MatKAIJRestoreS(Mat,PetscScalar**);
1738: PETSC_EXTERN PetscErrorCode MatKAIJRestoreSRead(Mat,const PetscScalar**);
1739: PETSC_EXTERN PetscErrorCode MatKAIJGetT(Mat,PetscInt*,PetscInt*,PetscScalar**);
1740: PETSC_EXTERN PetscErrorCode MatKAIJGetTRead(Mat,PetscInt*,PetscInt*,const PetscScalar**);
1741: PETSC_EXTERN PetscErrorCode MatKAIJRestoreT(Mat,PetscScalar**);
1742: PETSC_EXTERN PetscErrorCode MatKAIJRestoreTRead(Mat,const PetscScalar**);
1743: PETSC_EXTERN PetscErrorCode MatKAIJSetAIJ(Mat,Mat);
1744: PETSC_EXTERN PetscErrorCode MatKAIJSetS(Mat,PetscInt,PetscInt,const PetscScalar[]);
1745: PETSC_EXTERN PetscErrorCode MatKAIJSetT(Mat,PetscInt,PetscInt,const PetscScalar[]);
1746: PETSC_EXTERN PetscErrorCode MatKAIJGetScaledIdentity(Mat,PetscBool*);

1748: PETSC_EXTERN PetscErrorCode MatDiagonalScaleLocal(Mat,Vec);

1750: PETSC_EXTERN PetscErrorCode MatCreateMFFD(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,Mat*);
1751: PETSC_EXTERN PetscErrorCode MatMFFDSetBase(Mat,Vec,Vec);
1752: PETSC_EXTERN PetscErrorCode MatMFFDSetFunction(Mat,PetscErrorCode(*)(void*,Vec,Vec),void*);
1753: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioni(Mat,PetscErrorCode (*)(void*,PetscInt,Vec,PetscScalar*));
1754: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioniBase(Mat,PetscErrorCode (*)(void*,Vec));
1755: PETSC_EXTERN PetscErrorCode MatMFFDSetHHistory(Mat,PetscScalar[],PetscInt);
1756: PETSC_EXTERN PetscErrorCode MatMFFDResetHHistory(Mat);
1757: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctionError(Mat,PetscReal);
1758: PETSC_EXTERN PetscErrorCode MatMFFDSetPeriod(Mat,PetscInt);
1759: PETSC_EXTERN PetscErrorCode MatMFFDGetH(Mat,PetscScalar *);
1760: PETSC_EXTERN PetscErrorCode MatMFFDSetOptionsPrefix(Mat,const char[]);
1761: PETSC_EXTERN PetscErrorCode MatMFFDCheckPositivity(void*,Vec,Vec,PetscScalar*);
1762: PETSC_EXTERN PetscErrorCode MatMFFDSetCheckh(Mat,PetscErrorCode (*)(void*,Vec,Vec,PetscScalar*),void*);

1764: /*S
1765:     MatMFFD - A data structured used to manage the computation of the h differencing parameter for matrix-free
1766:               Jacobian vector products

1768:     Notes:
1769:     MATMFFD is a specific MatType which uses the MatMFFD data structure

1771:            MatMFFD*() methods actually take the Mat as their first argument. Not a MatMFFD data structure

1773:     Level: developer

1775: .seealso: MATMFFD, MatCreateMFFD(), MatMFFDSetFuction(), MatMFFDSetType(), MatMFFDRegister()
1776: S*/
1777: typedef struct _p_MatMFFD* MatMFFD;

1779: /*J
1780:     MatMFFDType - algorithm used to compute the h used in computing matrix-vector products via differencing of the function

1782:    Level: beginner

1784: .seealso: MatMFFDSetType(), MatMFFDRegister()
1785: J*/
1786: typedef const char* MatMFFDType;
1787: #define MATMFFD_DS  "ds"
1788: #define MATMFFD_WP  "wp"

1790: PETSC_EXTERN PetscErrorCode MatMFFDSetType(Mat,MatMFFDType);
1791: PETSC_EXTERN PetscErrorCode MatMFFDRegister(const char[],PetscErrorCode (*)(MatMFFD));

1793: PETSC_EXTERN PetscErrorCode MatMFFDDSSetUmin(Mat,PetscReal);
1794: PETSC_EXTERN PetscErrorCode MatMFFDWPSetComputeNormU(Mat,PetscBool);

1796: PETSC_EXTERN PetscErrorCode MatFDColoringSetType(MatFDColoring,MatMFFDType);

1798: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutMatrix(PetscViewer, PetscInt, PetscInt, PetscReal *);
1799: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutCSRMatrix(PetscViewer, PetscInt, PetscInt, PetscInt *, PetscInt *, PetscReal *);

1801: #ifdef PETSC_HAVE_HARA
1802: PETSC_EXTERN_TYPEDEF typedef PetscScalar (*MatHaraKernel)(PetscInt,PetscReal[],PetscReal[],void*);
1803: PETSC_EXTERN PetscErrorCode MatCreateHaraFromKernel(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscReal[],MatHaraKernel,void*,PetscReal,PetscInt,PetscInt,Mat*);
1804: PETSC_EXTERN PetscErrorCode MatCreateHaraFromMat(Mat,PetscInt,const PetscReal[],PetscReal,PetscInt,PetscInt,PetscInt,PetscReal,Mat*);
1805: PETSC_EXTERN PetscErrorCode MatHaraSetSamplingMat(Mat,Mat,PetscInt,PetscReal);
1806: #endif

1808: /*
1809:    PETSc interface to MUMPS
1810: */
1811: #ifdef PETSC_HAVE_MUMPS
1812: PETSC_EXTERN PetscErrorCode MatMumpsSetIcntl(Mat,PetscInt,PetscInt);
1813: PETSC_EXTERN PetscErrorCode MatMumpsGetIcntl(Mat,PetscInt,PetscInt*);
1814: PETSC_EXTERN PetscErrorCode MatMumpsSetCntl(Mat,PetscInt,PetscReal);
1815: PETSC_EXTERN PetscErrorCode MatMumpsGetCntl(Mat,PetscInt,PetscReal*);

1817: PETSC_EXTERN PetscErrorCode MatMumpsGetInfo(Mat,PetscInt,PetscInt*);
1818: PETSC_EXTERN PetscErrorCode MatMumpsGetInfog(Mat,PetscInt,PetscInt*);
1819: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfo(Mat,PetscInt,PetscReal*);
1820: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfog(Mat,PetscInt,PetscReal*);
1821: PETSC_EXTERN PetscErrorCode MatMumpsGetInverse(Mat,Mat);
1822: PETSC_EXTERN PetscErrorCode MatMumpsGetInverseTranspose(Mat,Mat);
1823: #endif

1825: /*
1826:    PETSc interface to Mkl_Pardiso
1827: */
1828: #ifdef PETSC_HAVE_MKL_PARDISO
1829: PETSC_EXTERN PetscErrorCode MatMkl_PardisoSetCntl(Mat,PetscInt,PetscInt);
1830: #endif

1832: /*
1833:    PETSc interface to Mkl_CPardiso
1834: */
1835: #ifdef PETSC_HAVE_MKL_CPARDISO
1836: PETSC_EXTERN PetscErrorCode MatMkl_CPardisoSetCntl(Mat,PetscInt,PetscInt);
1837: #endif

1839: /*
1840:    PETSc interface to SUPERLU
1841: */
1842: #ifdef PETSC_HAVE_SUPERLU
1843: PETSC_EXTERN PetscErrorCode MatSuperluSetILUDropTol(Mat,PetscReal);
1844: #endif

1846: /*
1847:    PETSc interface to SUPERLU_DIST
1848: */
1849: #ifdef PETSC_HAVE_SUPERLU_DIST
1850: PETSC_EXTERN PetscErrorCode MatSuperluDistGetDiagU(Mat,PetscScalar*);
1851: #endif

1853: /*
1854:    PETSc interface to STRUMPACK
1855: */
1856: #ifdef PETSC_HAVE_STRUMPACK
1857: /*E
1858:     MatSTRUMPACKReordering - sparsity reducing ordering to be used in STRUMPACK

1860:     Level: intermediate
1861: E*/
1862: typedef enum {MAT_STRUMPACK_NATURAL=0,
1863:               MAT_STRUMPACK_METIS=1,
1864:               MAT_STRUMPACK_PARMETIS=2,
1865:               MAT_STRUMPACK_SCOTCH=3,
1866:               MAT_STRUMPACK_PTSCOTCH=4,
1867:               MAT_STRUMPACK_RCM=5} MatSTRUMPACKReordering;
1868: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetReordering(Mat,MatSTRUMPACKReordering);
1869: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetColPerm(Mat,PetscBool);
1870: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSRelTol(Mat,PetscReal);
1871: PETSC_DEPRECATED_FUNCTION("Use MatSTRUMPACKSetHSSRelTol() (since version 3.9)") PETSC_STATIC_INLINE PetscErrorCode MatSTRUMPACKSetHSSRelCompTol(Mat mat,PetscReal rtol) {return MatSTRUMPACKSetHSSRelTol(mat,rtol);}
1872: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSAbsTol(Mat,PetscReal);
1873: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSMinSepSize(Mat,PetscInt);
1874: PETSC_DEPRECATED_FUNCTION("Use MatSTRUMPACKSetHSSMinSepSize() (since version 3.9)") PETSC_STATIC_INLINE PetscErrorCode MatSTRUMPACKSetHSSMinSize(Mat mat,PetscInt hssminsize) {return MatSTRUMPACKSetHSSMinSepSize(mat,hssminsize);}
1875: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSMaxRank(Mat,PetscInt);
1876: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSLeafSize(Mat,PetscInt);
1877: #endif


1880: PETSC_EXTERN PetscErrorCode MatBindToCPU(Mat,PetscBool);
1881: PETSC_DEPRECATED_FUNCTION("Use MatBindToCPU (since v3.13)") PETSC_STATIC_INLINE PetscErrorCode MatPinToCPU(Mat A,PetscBool flg) {return MatBindToCPU(A,flg);}

1883: #ifdef PETSC_HAVE_CUDA
1884: /*E
1885:     MatCUSPARSEStorageFormat - indicates the storage format for CUSPARSE (GPU)
1886:     matrices.

1888:     Not Collective

1890: +   MAT_CUSPARSE_CSR - Compressed Sparse Row
1891: .   MAT_CUSPARSE_ELL - Ellpack (requires CUDA 4.2 or later).
1892: -   MAT_CUSPARSE_HYB - Hybrid, a combination of Ellpack and Coordinate format (requires CUDA 4.2 or later).

1894:     Level: intermediate

1896:    Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h

1898: .seealso: MatCUSPARSESetFormat(), MatCUSPARSEFormatOperation
1899: E*/

1901: typedef enum {MAT_CUSPARSE_CSR, MAT_CUSPARSE_ELL, MAT_CUSPARSE_HYB} MatCUSPARSEStorageFormat;

1903: /* these will be strings associated with enumerated type defined above */
1904: PETSC_EXTERN const char *const MatCUSPARSEStorageFormats[];

1906: /*E
1907:     MatCUSPARSEFormatOperation - indicates the operation of CUSPARSE (GPU)
1908:     matrices whose operation should use a particular storage format.

1910:     Not Collective

1912: +   MAT_CUSPARSE_MULT_DIAG - sets the storage format for the diagonal matrix in the parallel MatMult
1913: .   MAT_CUSPARSE_MULT_OFFDIAG - sets the storage format for the offdiagonal matrix in the parallel MatMult
1914: .   MAT_CUSPARSE_MULT - sets the storage format for the entire matrix in the serial (single GPU) MatMult
1915: -   MAT_CUSPARSE_ALL - sets the storage format for all CUSPARSE (GPU) matrices

1917:     Level: intermediate

1919: .seealso: MatCUSPARSESetFormat(), MatCUSPARSEStorageFormat
1920: E*/
1921: typedef enum {MAT_CUSPARSE_MULT_DIAG, MAT_CUSPARSE_MULT_OFFDIAG, MAT_CUSPARSE_MULT, MAT_CUSPARSE_ALL} MatCUSPARSEFormatOperation;

1923: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCUSPARSE(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
1924: PETSC_EXTERN PetscErrorCode MatCreateAIJCUSPARSE(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
1925: PETSC_EXTERN PetscErrorCode MatCUSPARSESetFormat(Mat,MatCUSPARSEFormatOperation,MatCUSPARSEStorageFormat);
1926: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSESetGenerateTranspose(Mat,PetscBool);

1928: typedef struct _p_SplitCSRMat PetscSplitCSRDataStructure;
1929: PETSC_EXTERN PetscErrorCode MatCUSPARSEGetDeviceMatWrite(Mat,PetscSplitCSRDataStructure**);

1931: PETSC_EXTERN PetscErrorCode MatCreateDenseCUDA(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscScalar[],Mat*);
1932: PETSC_EXTERN PetscErrorCode MatCreateSeqDenseCUDA(MPI_Comm,PetscInt,PetscInt,PetscScalar[],Mat*);
1933: PETSC_EXTERN PetscErrorCode MatMPIDenseCUDASetPreallocation(Mat,PetscScalar[]);
1934: PETSC_EXTERN PetscErrorCode MatSeqDenseCUDASetPreallocation(Mat,PetscScalar[]);
1935: PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArrayWrite(Mat,PetscScalar**);
1936: PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArrayRead(Mat,const PetscScalar**);
1937: PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArray(Mat,PetscScalar**);
1938: PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArrayWrite(Mat,PetscScalar**);
1939: PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArrayRead(Mat,const PetscScalar**);
1940: PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArray(Mat,PetscScalar**);
1941: PETSC_EXTERN PetscErrorCode MatDenseCUDAPlaceArray(Mat,const PetscScalar*);
1942: PETSC_EXTERN PetscErrorCode MatDenseCUDAReplaceArray(Mat,const PetscScalar*);
1943: PETSC_EXTERN PetscErrorCode MatDenseCUDAResetArray(Mat);

1945: #endif

1947: #if defined(PETSC_HAVE_VIENNACL)
1948: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJViennaCL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
1949: PETSC_EXTERN PetscErrorCode MatCreateAIJViennaCL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
1950: #endif

1952: /*
1953:    PETSc interface to FFTW
1954: */
1955: #if defined(PETSC_HAVE_FFTW)
1956: PETSC_EXTERN PetscErrorCode VecScatterPetscToFFTW(Mat,Vec,Vec);
1957: PETSC_EXTERN PetscErrorCode VecScatterFFTWToPetsc(Mat,Vec,Vec);
1958: PETSC_EXTERN PetscErrorCode MatCreateVecsFFTW(Mat,Vec*,Vec*,Vec*);
1959: #endif

1961: #if defined(PETSC_HAVE_SCALAPACK)
1962: PETSC_EXTERN PetscErrorCode MatCreateScaLAPACK(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,Mat*);
1963: PETSC_EXTERN PetscErrorCode MatScaLAPACKSetBlockSizes(Mat,PetscInt,PetscInt);
1964: PETSC_EXTERN PetscErrorCode MatScaLAPACKGetBlockSizes(Mat,PetscInt*,PetscInt*);
1965: #endif

1967: PETSC_EXTERN PetscErrorCode MatCreateNest(MPI_Comm,PetscInt,const IS[],PetscInt,const IS[],const Mat[],Mat*);
1968: PETSC_EXTERN PetscErrorCode MatNestGetSize(Mat,PetscInt*,PetscInt*);
1969: PETSC_EXTERN PetscErrorCode MatNestGetISs(Mat,IS[],IS[]);
1970: PETSC_EXTERN PetscErrorCode MatNestGetLocalISs(Mat,IS[],IS[]);
1971: PETSC_EXTERN PetscErrorCode MatNestGetSubMats(Mat,PetscInt*,PetscInt*,Mat***);
1972: PETSC_EXTERN PetscErrorCode MatNestGetSubMat(Mat,PetscInt,PetscInt,Mat*);
1973: PETSC_EXTERN PetscErrorCode MatNestSetVecType(Mat,VecType);
1974: PETSC_EXTERN PetscErrorCode MatNestSetSubMats(Mat,PetscInt,const IS[],PetscInt,const IS[],const Mat[]);
1975: PETSC_EXTERN PetscErrorCode MatNestSetSubMat(Mat,PetscInt,PetscInt,Mat);

1977: PETSC_EXTERN PetscErrorCode MatChop(Mat,PetscReal);
1978: PETSC_EXTERN PetscErrorCode MatComputeBandwidth(Mat,PetscReal,PetscInt*);

1980: PETSC_EXTERN PetscErrorCode MatSubdomainsCreateCoalesce(Mat,PetscInt,PetscInt*,IS**);

1982: PETSC_EXTERN PetscErrorCode MatPreallocatorPreallocate(Mat,PetscBool,Mat);

1984: PETSC_INTERN PetscErrorCode MatHeaderMerge(Mat,Mat*);
1985: PETSC_EXTERN PetscErrorCode MatHeaderReplace(Mat,Mat*);
1986: #endif