Actual source code: petscmat.h

petsc-3.13.6 2020-09-29
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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 MATAIJVIENNACL     "aijviennacl"
 44: #define MATSEQAIJVIENNACL  "seqaijviennacl"
 45: #define MATMPIAIJVIENNACL  "mpiaijviennacl"
 46: #define MATAIJPERM         "aijperm"
 47: #define MATSEQAIJPERM      "seqaijperm"
 48: #define MATMPIAIJPERM      "mpiaijperm"
 49: #define MATAIJSELL         "aijsell"
 50: #define MATSEQAIJSELL      "seqaijsell"
 51: #define MATMPIAIJSELL      "mpiaijsell"
 52: #define MATAIJMKL          "aijmkl"
 53: #define MATSEQAIJMKL       "seqaijmkl"
 54: #define MATMPIAIJMKL       "mpiaijmkl"
 55: #define MATBAIJMKL         "baijmkl"
 56: #define MATSEQBAIJMKL      "seqbaijmkl"
 57: #define MATMPIBAIJMKL      "mpibaijmkl"
 58: #define MATSHELL           "shell"
 59: #define MATDENSE           "dense"
 60: #define MATSEQDENSE        "seqdense"
 61: #define MATSEQDENSECUDA    "seqdensecuda"
 62: #define MATMPIDENSE        "mpidense"
 63: #define MATELEMENTAL       "elemental"
 64: #define MATBAIJ            "baij"
 65: #define MATSEQBAIJ         "seqbaij"
 66: #define MATMPIBAIJ         "mpibaij"
 67: #define MATMPIADJ          "mpiadj"
 68: #define MATSBAIJ           "sbaij"
 69: #define MATSEQSBAIJ        "seqsbaij"
 70: #define MATMPISBAIJ        "mpisbaij"
 71: #define MATDAAD            "daad"
 72: #define MATMFFD            "mffd"
 73: #define MATNORMAL          "normal"
 74: #define MATNORMALHERMITIAN "normalh"
 75: #define MATLRC             "lrc"
 76: #define MATSCATTER         "scatter"
 77: #define MATBLOCKMAT        "blockmat"
 78: #define MATCOMPOSITE       "composite"
 79: #define MATFFT             "fft"
 80: #define MATFFTW            "fftw"
 81: #define MATSEQCUFFT        "seqcufft"
 82: #define MATTRANSPOSEMAT    "transpose"
 83: #define MATSCHURCOMPLEMENT "schurcomplement"
 84: #define MATPYTHON          "python"
 85: #define MATHYPRE           "hypre"
 86: #define MATHYPRESTRUCT     "hyprestruct"
 87: #define MATHYPRESSTRUCT    "hypresstruct"
 88: #define MATSUBMATRIX       "submatrix"
 89: #define MATLOCALREF        "localref"
 90: #define MATNEST            "nest"
 91: #define MATPREALLOCATOR    "preallocator"
 92: #define MATSELL            "sell"
 93: #define MATSEQSELL         "seqsell"
 94: #define MATMPISELL         "mpisell"
 95: #define MATDUMMY           "dummy"
 96: #define MATLMVM            "lmvm"
 97: #define MATLMVMDFP         "lmvmdfp"
 98: #define MATLMVMBFGS        "lmvmbfgs"
 99: #define MATLMVMSR1         "lmvmsr1"
100: #define MATLMVMBROYDEN     "lmvmbroyden"
101: #define MATLMVMBADBROYDEN  "lmvmbadbroyden"
102: #define MATLMVMSYMBROYDEN  "lmvmsymbroyden"
103: #define MATLMVMSYMBADBROYDEN "lmvmsymbadbroyden"
104: #define MATLMVMDIAGBROYDEN "lmvmdiagbroyden"
105: #define MATCONSTANTDIAGONAL "constantdiagonal"

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

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

112:    Level: beginner

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

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

139: /*E
140:     MatFactorType - indicates what type of factorization is requested

142:     Level: beginner

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

146: .seealso: MatSolverType, MatGetFactor()
147: E*/
148: typedef enum {MAT_FACTOR_NONE, MAT_FACTOR_LU, MAT_FACTOR_CHOLESKY, MAT_FACTOR_ILU, MAT_FACTOR_ICC,MAT_FACTOR_ILUDT} MatFactorType;
149: PETSC_EXTERN const char *const MatFactorTypes[];

151: PETSC_EXTERN PetscErrorCode MatGetFactor(Mat,MatSolverType,MatFactorType,Mat*);
152: PETSC_EXTERN PetscErrorCode MatGetFactorAvailable(Mat,MatSolverType,MatFactorType,PetscBool *);
153: PETSC_EXTERN PetscErrorCode MatFactorGetSolverType(Mat,MatSolverType*);
154: PETSC_EXTERN PetscErrorCode MatGetFactorType(Mat,MatFactorType*);
155: PETSC_EXTERN PetscErrorCode MatSetFactorType(Mat,MatFactorType);
156: PETSC_EXTERN PetscErrorCode MatSolverTypeRegister(MatSolverType,MatType,MatFactorType,PetscErrorCode(*)(Mat,MatFactorType,Mat*));
157: PETSC_EXTERN PetscErrorCode MatSolverTypeGet(MatSolverType,MatType,MatFactorType,PetscBool*,PetscBool*,PetscErrorCode (**)(Mat,MatFactorType,Mat*));
158: typedef MatSolverType MatSolverPackage PETSC_DEPRECATED_TYPEDEF("Use MatSolverType (since version 3.9)");
159: PETSC_DEPRECATED_FUNCTION("Use MatSolverTypeRegister() (since version 3.9)") PETSC_STATIC_INLINE PetscErrorCode MatSolverPackageRegister(MatSolverType stype,MatType mtype,MatFactorType ftype,PetscErrorCode(*f)(Mat,MatFactorType,Mat*))
160: { return MatSolverTypeRegister(stype,mtype,ftype,f); }
161: PETSC_DEPRECATED_FUNCTION("Use MatSolverTypeGet() (since version 3.9)") PETSC_STATIC_INLINE PetscErrorCode MatSolverPackageGet(MatSolverType stype,MatType mtype,MatFactorType ftype,PetscBool *foundmtype,PetscBool *foundstype,PetscErrorCode(**f)(Mat,MatFactorType,Mat*))
162: { return MatSolverTypeGet(stype,mtype,ftype,foundmtype,foundstype,f); }

164: /*E
165:     MatProductType - indicates what type of matrix product is requested

167:     Level: beginner

169: .seealso: MatSolverType, MatProductSetType()
170: E*/
171: typedef enum {MATPRODUCT_AB,MATPRODUCT_AtB,MATPRODUCT_ABt,MATPRODUCT_PtAP,MATPRODUCT_RARt,MATPRODUCT_ABC} MatProductType;
172: PETSC_EXTERN const char *const MatProductTypes[];

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

177:    Level: beginner

179: .seealso: MatSetType(), Mat, MatSolverType, MatRegister(), MatProductSetAlgorithm(), MatProductType
180: J*/
181: typedef const char* MatProductAlgorithm;
182: #define MATPRODUCTALGORITHM_DEFAULT       "default"

184: PETSC_EXTERN PetscErrorCode MatProductCreate(Mat,Mat,Mat,Mat*);
185: PETSC_EXTERN PetscErrorCode MatProductCreateWithMat(Mat,Mat,Mat,Mat);
186: PETSC_EXTERN PetscErrorCode MatProductSetType(Mat,MatProductType);
187: PETSC_EXTERN PetscErrorCode MatProductSetAlgorithm(Mat,MatProductAlgorithm);
188: PETSC_EXTERN PetscErrorCode MatProductSetFill(Mat,PetscReal);
189: PETSC_EXTERN PetscErrorCode MatProductSetFromOptions(Mat);
190: PETSC_EXTERN PetscErrorCode MatProductSymbolic(Mat);
191: PETSC_EXTERN PetscErrorCode MatProductNumeric(Mat);
192: PETSC_EXTERN PetscErrorCode MatProductReplaceMats(Mat,Mat,Mat,Mat);
193: PETSC_EXTERN PetscErrorCode MatProductClear(Mat);

195: /* Logging support */
196: #define    MAT_FILE_CLASSID 1211216    /* used to indicate matrices in binary files */
197: PETSC_EXTERN PetscClassId MAT_CLASSID;
198: PETSC_EXTERN PetscClassId MAT_COLORING_CLASSID;
199: PETSC_EXTERN PetscClassId MAT_FDCOLORING_CLASSID;
200: PETSC_EXTERN PetscClassId MAT_TRANSPOSECOLORING_CLASSID;
201: PETSC_EXTERN PetscClassId MAT_PARTITIONING_CLASSID;
202: PETSC_EXTERN PetscClassId MAT_COARSEN_CLASSID;
203: PETSC_EXTERN PetscClassId MAT_NULLSPACE_CLASSID;
204: PETSC_EXTERN PetscClassId MATMFFD_CLASSID;

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

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

215:     Level: beginner

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

219: .seealso: MatCreateSubMatrices(), MatCreateSubMatrix(), MatDestroyMatrices(), MatConvert()
220: E*/
221: typedef enum {MAT_INITIAL_MATRIX,MAT_REUSE_MATRIX,MAT_IGNORE_MATRIX,MAT_INPLACE_MATRIX} MatReuse;

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

227:     Level: beginner

229: .seealso: MatGetSeqNonzerostructure()
230: E*/
231: typedef enum {MAT_DO_NOT_GET_VALUES,MAT_GET_VALUES} MatCreateSubMatrixOption;

233: PETSC_EXTERN PetscErrorCode MatInitializePackage(void);

235: PETSC_EXTERN PetscErrorCode MatCreate(MPI_Comm,Mat*);
236: PETSC_EXTERN PetscErrorCode MatSetSizes(Mat,PetscInt,PetscInt,PetscInt,PetscInt);
237: PETSC_EXTERN PetscErrorCode MatSetType(Mat,MatType);
238: PETSC_EXTERN PetscErrorCode MatSetFromOptions(Mat);
239: PETSC_EXTERN PetscErrorCode MatViewFromOptions(Mat,PetscObject,const char[]);
240: PETSC_EXTERN PetscErrorCode MatRegister(const char[],PetscErrorCode(*)(Mat));
241: PETSC_EXTERN PetscErrorCode MatRegisterRootName(const char[],const char[],const char[]);
242: PETSC_EXTERN PetscErrorCode MatSetOptionsPrefix(Mat,const char[]);
243: PETSC_EXTERN PetscErrorCode MatAppendOptionsPrefix(Mat,const char[]);
244: PETSC_EXTERN PetscErrorCode MatGetOptionsPrefix(Mat,const char*[]);
245: PETSC_EXTERN PetscErrorCode MatSetErrorIfFailure(Mat,PetscBool);

247: PETSC_EXTERN PetscFunctionList MatList;
248: PETSC_EXTERN PetscFunctionList MatColoringList;
249: PETSC_EXTERN PetscFunctionList MatPartitioningList;

251: /*E
252:     MatStructure - Indicates if two matrices have the same nonzero structure

254:     Level: beginner

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

258: .seealso: MatCopy(), MatAXPY()
259: E*/
260: typedef enum {DIFFERENT_NONZERO_PATTERN,SUBSET_NONZERO_PATTERN,SAME_NONZERO_PATTERN} MatStructure;

262: #if defined PETSC_HAVE_MKL_SPARSE
263: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
264: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
265: PETSC_EXTERN PetscErrorCode MatCreateBAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
266: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
267: #endif

269: PETSC_EXTERN PetscErrorCode MatCreateSeqSELL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
270: PETSC_EXTERN PetscErrorCode MatCreateSELL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
271: PETSC_EXTERN PetscErrorCode MatSeqSELLSetPreallocation(Mat,PetscInt,const PetscInt[]);
272: PETSC_EXTERN PetscErrorCode MatMPISELLSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);

274: PETSC_EXTERN PetscErrorCode MatCreateSeqDense(MPI_Comm,PetscInt,PetscInt,PetscScalar[],Mat*);
275: PETSC_EXTERN PetscErrorCode MatCreateDense(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscScalar[],Mat*);
276: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
277: PETSC_EXTERN PetscErrorCode MatCreateAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
278: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat *);
279: PETSC_EXTERN PetscErrorCode MatUpdateMPIAIJWithArrays(Mat,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
280: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSplitArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],PetscInt[],PetscInt[],PetscScalar[],Mat*);
281: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSeqAIJ(MPI_Comm,Mat,Mat,const PetscInt[],Mat*);

283: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
284: PETSC_EXTERN PetscErrorCode MatCreateBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
285: PETSC_EXTERN PetscErrorCode MatCreateMPIBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat*);

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

290: PETSC_EXTERN PetscErrorCode MatCreateSBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
291: PETSC_EXTERN PetscErrorCode MatCreateMPISBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat *);
292: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
293: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
294: PETSC_EXTERN PetscErrorCode MatXAIJSetPreallocation(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscInt[],const PetscInt[]);

296: PETSC_EXTERN PetscErrorCode MatCreateShell(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,void *,Mat*);
297: PETSC_EXTERN PetscErrorCode MatCreateNormal(Mat,Mat*);
298: PETSC_EXTERN PetscErrorCode MatCreateNormalHermitian(Mat,Mat*);
299: PETSC_EXTERN PetscErrorCode MatCreateLRC(Mat,Mat,Vec,Mat,Mat*);
300: PETSC_EXTERN PetscErrorCode MatLRCGetMats(Mat,Mat*,Mat*,Vec*,Mat*);
301: PETSC_EXTERN PetscErrorCode MatCreateIS(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,ISLocalToGlobalMapping,ISLocalToGlobalMapping,Mat*);
302: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCRL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
303: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJCRL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);

305: PETSC_EXTERN PetscErrorCode MatCreateScatter(MPI_Comm,VecScatter,Mat*);
306: PETSC_EXTERN PetscErrorCode MatScatterSetVecScatter(Mat,VecScatter);
307: PETSC_EXTERN PetscErrorCode MatScatterGetVecScatter(Mat,VecScatter*);
308: PETSC_EXTERN PetscErrorCode MatCreateBlockMat(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt*,Mat*);
309: PETSC_EXTERN PetscErrorCode MatCompositeAddMat(Mat,Mat);
310: PETSC_EXTERN PetscErrorCode MatCompositeMerge(Mat);
311: typedef enum {MAT_COMPOSITE_MERGE_RIGHT,MAT_COMPOSITE_MERGE_LEFT} MatCompositeMergeType;
312: PETSC_EXTERN PetscErrorCode MatCompositeSetMergeType(Mat,MatCompositeMergeType);
313: PETSC_EXTERN PetscErrorCode MatCreateComposite(MPI_Comm,PetscInt,const Mat*,Mat*);
314: typedef enum {MAT_COMPOSITE_ADDITIVE,MAT_COMPOSITE_MULTIPLICATIVE} MatCompositeType;
315: PETSC_EXTERN PetscErrorCode MatCompositeSetType(Mat,MatCompositeType);
316: PETSC_EXTERN PetscErrorCode MatCompositeGetType(Mat,MatCompositeType*);
317: PETSC_EXTERN PetscErrorCode MatCompositeSetMatStructure(Mat,MatStructure);
318: PETSC_EXTERN PetscErrorCode MatCompositeGetMatStructure(Mat,MatStructure*);
319: PETSC_EXTERN PetscErrorCode MatCompositeGetNumberMat(Mat,PetscInt*);
320: PETSC_EXTERN PetscErrorCode MatCompositeGetMat(Mat,PetscInt,Mat*);
321: PETSC_EXTERN PetscErrorCode MatCompositeSetScalings(Mat,const PetscScalar*);

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

326: PETSC_EXTERN PetscErrorCode MatCreateTranspose(Mat,Mat*);
327: PETSC_EXTERN PetscErrorCode MatTransposeGetMat(Mat,Mat*);
328: PETSC_EXTERN PetscErrorCode MatCreateHermitianTranspose(Mat,Mat*);
329: PETSC_EXTERN PetscErrorCode MatHermitianTransposeGetMat(Mat,Mat*);
330: PETSC_EXTERN PetscErrorCode MatCreateSubMatrixVirtual(Mat,IS,IS,Mat*);
331: PETSC_EXTERN PetscErrorCode MatSubMatrixVirtualUpdate(Mat,Mat,IS,IS);
332: PETSC_EXTERN PetscErrorCode MatCreateLocalRef(Mat,IS,IS,Mat*);
333: PETSC_EXTERN PetscErrorCode MatCreateConstantDiagonal(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscScalar,Mat*);

335: #if defined(PETSC_HAVE_HYPRE)
336: PETSC_EXTERN PetscErrorCode MatHYPRESetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
337: #endif

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

341: PETSC_EXTERN PetscErrorCode MatResetPreallocation(Mat);
342: PETSC_EXTERN PetscErrorCode MatSetUp(Mat);
343: PETSC_EXTERN PetscErrorCode MatDestroy(Mat*);
344: PETSC_EXTERN PetscErrorCode MatGetNonzeroState(Mat,PetscObjectState*);

346: PETSC_EXTERN PetscErrorCode MatConjugate(Mat);
347: PETSC_EXTERN PetscErrorCode MatRealPart(Mat);
348: PETSC_EXTERN PetscErrorCode MatImaginaryPart(Mat);
349: PETSC_EXTERN PetscErrorCode MatGetDiagonalBlock(Mat,Mat*);
350: PETSC_EXTERN PetscErrorCode MatGetTrace(Mat,PetscScalar*);
351: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonal(Mat,const PetscScalar **);
352: PETSC_EXTERN PetscErrorCode MatInvertVariableBlockDiagonal(Mat,PetscInt,const PetscInt*,PetscScalar*);
353: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonalMat(Mat,Mat);

355: /* ------------------------------------------------------------*/
356: PETSC_EXTERN PetscErrorCode MatSetValues(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
357: PETSC_EXTERN PetscErrorCode MatSetValuesBlocked(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
358: PETSC_EXTERN PetscErrorCode MatSetValuesRow(Mat,PetscInt,const PetscScalar[]);
359: PETSC_EXTERN PetscErrorCode MatSetValuesRowLocal(Mat,PetscInt,const PetscScalar[]);
360: PETSC_EXTERN PetscErrorCode MatSetValuesBatch(Mat,PetscInt,PetscInt,PetscInt[],const PetscScalar[]);
361: PETSC_EXTERN PetscErrorCode MatSetRandom(Mat,PetscRandom);

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

367:    The i,j, and k represent the logical coordinates over the entire grid (for 2 and 1 dimensional problems the k and j entries are ignored).
368:    The c represents the the degrees of freedom at each grid point (the dof argument to DMDASetDOF()). If dof is 1 then this entry is ignored.

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

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

374:    Level: beginner

376: .seealso:  MatSetValuesStencil(), MatSetStencil(), MatSetValuesBlockedStencil(), DMDAVecGetArray(), DMDAVecGetArrayF90()
377: S*/
378: typedef struct {
379:   PetscInt k,j,i,c;
380: } MatStencil;

382: PETSC_EXTERN PetscErrorCode MatSetValuesStencil(Mat,PetscInt,const MatStencil[],PetscInt,const MatStencil[],const PetscScalar[],InsertMode);
383: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedStencil(Mat,PetscInt,const MatStencil[],PetscInt,const MatStencil[],const PetscScalar[],InsertMode);
384: PETSC_EXTERN PetscErrorCode MatSetStencil(Mat,PetscInt,const PetscInt[],const PetscInt[],PetscInt);

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

390:     Level: beginner

392: .seealso: MatAssemblyBegin(), MatAssemblyEnd()
393: E*/
394: typedef enum {MAT_FLUSH_ASSEMBLY=1,MAT_FINAL_ASSEMBLY=0} MatAssemblyType;
395: PETSC_EXTERN PetscErrorCode MatAssemblyBegin(Mat,MatAssemblyType);
396: PETSC_EXTERN PetscErrorCode MatAssemblyEnd(Mat,MatAssemblyType);
397: PETSC_EXTERN PetscErrorCode MatAssembled(Mat,PetscBool *);



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

404:     Level: beginner

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

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

412: .seealso: MatSetOption()
413: E*/
414: typedef enum {MAT_OPTION_MIN = -3,
415:               MAT_UNUSED_NONZERO_LOCATION_ERR = -2,
416:               MAT_ROW_ORIENTED = -1,
417:               MAT_SYMMETRIC = 1,
418:               MAT_STRUCTURALLY_SYMMETRIC = 2,
419:               MAT_NEW_DIAGONALS = 3,
420:               MAT_IGNORE_OFF_PROC_ENTRIES = 4,
421:               MAT_USE_HASH_TABLE = 5,
422:               MAT_KEEP_NONZERO_PATTERN = 6,
423:               MAT_IGNORE_ZERO_ENTRIES = 7,
424:               MAT_USE_INODES = 8,
425:               MAT_HERMITIAN = 9,
426:               MAT_SYMMETRY_ETERNAL = 10,
427:               MAT_NEW_NONZERO_LOCATION_ERR = 11,
428:               MAT_IGNORE_LOWER_TRIANGULAR = 12,
429:               MAT_ERROR_LOWER_TRIANGULAR = 13,
430:               MAT_GETROW_UPPERTRIANGULAR = 14,
431:               MAT_SPD = 15,
432:               MAT_NO_OFF_PROC_ZERO_ROWS = 16,
433:               MAT_NO_OFF_PROC_ENTRIES = 17,
434:               MAT_NEW_NONZERO_LOCATIONS = 18,
435:               MAT_NEW_NONZERO_ALLOCATION_ERR = 19,
436:               MAT_SUBSET_OFF_PROC_ENTRIES = 20,
437:               MAT_SUBMAT_SINGLEIS = 21,
438:               MAT_STRUCTURE_ONLY = 22,
439:               MAT_SORTED_FULL = 23,
440:               MAT_OPTION_MAX = 24} MatOption;

442: PETSC_EXTERN const char *const *MatOptions;
443: PETSC_EXTERN PetscErrorCode MatSetOption(Mat,MatOption,PetscBool);
444: PETSC_EXTERN PetscErrorCode MatGetOption(Mat,MatOption,PetscBool*);
445: PETSC_EXTERN PetscErrorCode MatPropagateSymmetryOptions(Mat,Mat);
446: PETSC_EXTERN PetscErrorCode MatGetType(Mat,MatType*);

448: PETSC_EXTERN PetscErrorCode MatGetValues(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],PetscScalar[]);
449: PETSC_EXTERN PetscErrorCode MatGetRow(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
450: PETSC_EXTERN PetscErrorCode MatRestoreRow(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
451: PETSC_EXTERN PetscErrorCode MatGetRowUpperTriangular(Mat);
452: PETSC_EXTERN PetscErrorCode MatRestoreRowUpperTriangular(Mat);
453: PETSC_EXTERN PetscErrorCode MatGetColumnVector(Mat,Vec,PetscInt);
454: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArray(Mat,PetscScalar *[]);
455: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArrayRead(Mat,const PetscScalar *[]);
456: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArray(Mat,PetscScalar *[]);
457: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArrayRead(Mat,const PetscScalar *[]);
458: PETSC_EXTERN PetscErrorCode MatSeqAIJGetMaxRowNonzeros(Mat,PetscInt*);
459: PETSC_EXTERN PetscErrorCode MatSeqAIJSetValuesLocalFast(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
460: PETSC_EXTERN PetscErrorCode MatSeqAIJSetType(Mat,MatType);
461: PETSC_EXTERN PetscErrorCode MatSeqAIJRegister(const char[],PetscErrorCode (*)(Mat,MatType,MatReuse,Mat *));
462: PETSC_EXTERN PetscFunctionList MatSeqAIJList;
463: PETSC_EXTERN PetscErrorCode MatSeqBAIJGetArray(Mat,PetscScalar *[]);
464: PETSC_EXTERN PetscErrorCode MatSeqBAIJRestoreArray(Mat,PetscScalar *[]);
465: PETSC_EXTERN PetscErrorCode MatSeqSBAIJGetArray(Mat,PetscScalar *[]);
466: PETSC_EXTERN PetscErrorCode MatSeqSBAIJRestoreArray(Mat,PetscScalar *[]);
467: PETSC_EXTERN PetscErrorCode MatDenseGetArray(Mat,PetscScalar *[]);
468: PETSC_EXTERN PetscErrorCode MatDenseRestoreArray(Mat,PetscScalar *[]);
469: PETSC_EXTERN PetscErrorCode MatDensePlaceArray(Mat,const PetscScalar[]);
470: PETSC_EXTERN PetscErrorCode MatDenseResetArray(Mat);
471: PETSC_EXTERN PetscErrorCode MatDenseGetArrayRead(Mat,const PetscScalar *[]);
472: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayRead(Mat,const PetscScalar *[]);
473: PETSC_EXTERN PetscErrorCode MatGetBlockSize(Mat,PetscInt *);
474: PETSC_EXTERN PetscErrorCode MatSetBlockSize(Mat,PetscInt);
475: PETSC_EXTERN PetscErrorCode MatGetBlockSizes(Mat,PetscInt *,PetscInt *);
476: PETSC_EXTERN PetscErrorCode MatSetBlockSizes(Mat,PetscInt,PetscInt);
477: PETSC_EXTERN PetscErrorCode MatSetBlockSizesFromMats(Mat,Mat,Mat);
478: PETSC_EXTERN PetscErrorCode MatSetVariableBlockSizes(Mat,PetscInt,PetscInt*);
479: PETSC_EXTERN PetscErrorCode MatGetVariableBlockSizes(Mat,PetscInt*,const PetscInt**);

481: PETSC_EXTERN PetscErrorCode MatDenseGetColumn(Mat,PetscInt,PetscScalar *[]);
482: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumn(Mat,PetscScalar *[]);

484: PETSC_EXTERN PetscErrorCode MatMult(Mat,Vec,Vec);
485: PETSC_EXTERN PetscErrorCode MatMultDiagonalBlock(Mat,Vec,Vec);
486: PETSC_EXTERN PetscErrorCode MatMultAdd(Mat,Vec,Vec,Vec);
487: PETSC_EXTERN PetscErrorCode MatMultTranspose(Mat,Vec,Vec);
488: PETSC_EXTERN PetscErrorCode MatMultHermitianTranspose(Mat,Vec,Vec);
489: PETSC_EXTERN PetscErrorCode MatIsTranspose(Mat,Mat,PetscReal,PetscBool *);
490: PETSC_EXTERN PetscErrorCode MatIsHermitianTranspose(Mat,Mat,PetscReal,PetscBool *);
491: PETSC_EXTERN PetscErrorCode MatMultTransposeAdd(Mat,Vec,Vec,Vec);
492: PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeAdd(Mat,Vec,Vec,Vec);
493: PETSC_EXTERN PetscErrorCode MatMultConstrained(Mat,Vec,Vec);
494: PETSC_EXTERN PetscErrorCode MatMultTransposeConstrained(Mat,Vec,Vec);
495: PETSC_EXTERN PetscErrorCode MatMatSolve(Mat,Mat,Mat);
496: PETSC_EXTERN PetscErrorCode MatMatSolveTranspose(Mat,Mat,Mat);
497: PETSC_EXTERN PetscErrorCode MatMatTransposeSolve(Mat,Mat,Mat);
498: PETSC_EXTERN PetscErrorCode MatResidual(Mat,Vec,Vec,Vec);

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

504:     Level: beginner

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

508: $   MAT_DO_NOT_COPY_VALUES    - Create a matrix using the same nonzero pattern as the original matrix,
509: $                               with zeros for the numerical values.
510: $   MAT_COPY_VALUES           - Create a matrix with the same nonzero pattern as the original matrix
511: $                               and with the same numerical values.
512: $   MAT_SHARE_NONZERO_PATTERN - Create a matrix that shares the nonzero structure with the previous matrix
513: $                               and does not copy it, using zeros for the numerical values. The parent and
514: $                               child matrices will share their index (i and j) arrays, and you cannot
515: $                               insert new nonzero entries into either matrix.

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

521: .seealso: MatDuplicate()
522: E*/
523: typedef enum {MAT_DO_NOT_COPY_VALUES,MAT_COPY_VALUES,MAT_SHARE_NONZERO_PATTERN} MatDuplicateOption;

525: PETSC_EXTERN PetscErrorCode MatConvert(Mat,MatType,MatReuse,Mat*);
526: PETSC_EXTERN PetscErrorCode MatDuplicate(Mat,MatDuplicateOption,Mat*);


529: PETSC_EXTERN PetscErrorCode MatCopy(Mat,Mat,MatStructure);
530: PETSC_EXTERN PetscErrorCode MatView(Mat,PetscViewer);
531: PETSC_EXTERN PetscErrorCode MatIsSymmetric(Mat,PetscReal,PetscBool *);
532: PETSC_EXTERN PetscErrorCode MatIsStructurallySymmetric(Mat,PetscBool *);
533: PETSC_EXTERN PetscErrorCode MatIsHermitian(Mat,PetscReal,PetscBool *);
534: PETSC_EXTERN PetscErrorCode MatIsSymmetricKnown(Mat,PetscBool *,PetscBool *);
535: PETSC_EXTERN PetscErrorCode MatIsHermitianKnown(Mat,PetscBool *,PetscBool *);
536: PETSC_EXTERN PetscErrorCode MatMissingDiagonal(Mat,PetscBool  *,PetscInt *);
537: PETSC_EXTERN PetscErrorCode MatLoad(Mat, PetscViewer);

539: PETSC_EXTERN PetscErrorCode MatGetRowIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool  *);
540: PETSC_EXTERN PetscErrorCode MatRestoreRowIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt *,const PetscInt *[],const PetscInt *[],PetscBool  *);
541: PETSC_EXTERN PetscErrorCode MatGetColumnIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool  *);
542: PETSC_EXTERN PetscErrorCode MatRestoreColumnIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt *,const PetscInt *[],const PetscInt *[],PetscBool  *);

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

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

549:    Level: intermediate

551: .seealso:  MatGetInfo(), MatInfoType
552: S*/
553: typedef struct {
554:   PetscLogDouble block_size;                         /* block size */
555:   PetscLogDouble nz_allocated,nz_used,nz_unneeded;   /* number of nonzeros */
556:   PetscLogDouble memory;                             /* memory allocated */
557:   PetscLogDouble assemblies;                         /* number of matrix assemblies called */
558:   PetscLogDouble mallocs;                            /* number of mallocs during MatSetValues() */
559:   PetscLogDouble fill_ratio_given,fill_ratio_needed; /* fill ratio for LU/ILU */
560:   PetscLogDouble factor_mallocs;                     /* number of mallocs during factorization */
561: } MatInfo;

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

567:     Level: beginner

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

571: .seealso: MatGetInfo(), MatInfo
572: E*/
573: typedef enum {MAT_LOCAL=1,MAT_GLOBAL_MAX=2,MAT_GLOBAL_SUM=3} MatInfoType;
574: PETSC_EXTERN PetscErrorCode MatGetInfo(Mat,MatInfoType,MatInfo*);
575: PETSC_EXTERN PetscErrorCode MatGetDiagonal(Mat,Vec);
576: PETSC_EXTERN PetscErrorCode MatGetRowMax(Mat,Vec,PetscInt[]);
577: PETSC_EXTERN PetscErrorCode MatGetRowMin(Mat,Vec,PetscInt[]);
578: PETSC_EXTERN PetscErrorCode MatGetRowMaxAbs(Mat,Vec,PetscInt[]);
579: PETSC_EXTERN PetscErrorCode MatGetRowMinAbs(Mat,Vec,PetscInt[]);
580: PETSC_EXTERN PetscErrorCode MatGetRowSum(Mat,Vec);
581: PETSC_EXTERN PetscErrorCode MatTranspose(Mat,MatReuse,Mat*);
582: PETSC_EXTERN PetscErrorCode MatHermitianTranspose(Mat,MatReuse,Mat*);
583: PETSC_EXTERN PetscErrorCode MatPermute(Mat,IS,IS,Mat*);
584: PETSC_EXTERN PetscErrorCode MatDiagonalScale(Mat,Vec,Vec);
585: PETSC_EXTERN PetscErrorCode MatDiagonalSet(Mat,Vec,InsertMode);

587: PETSC_EXTERN PetscErrorCode MatEqual(Mat,Mat,PetscBool*);
588: PETSC_EXTERN PetscErrorCode MatMultEqual(Mat,Mat,PetscInt,PetscBool*);
589: PETSC_EXTERN PetscErrorCode MatMultAddEqual(Mat,Mat,PetscInt,PetscBool*);
590: PETSC_EXTERN PetscErrorCode MatMultTransposeEqual(Mat,Mat,PetscInt,PetscBool*);
591: PETSC_EXTERN PetscErrorCode MatMultTransposeAddEqual(Mat,Mat,PetscInt,PetscBool*);
592: PETSC_EXTERN PetscErrorCode MatMatMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
593: PETSC_EXTERN PetscErrorCode MatTransposeMatMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
594: PETSC_EXTERN PetscErrorCode MatMatTransposeMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
595: PETSC_EXTERN PetscErrorCode MatPtAPMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
596: PETSC_EXTERN PetscErrorCode MatIsLinear(Mat,PetscInt,PetscBool*);

598: PETSC_EXTERN PetscErrorCode MatNorm(Mat,NormType,PetscReal*);
599: PETSC_EXTERN PetscErrorCode MatGetColumnNorms(Mat,NormType,PetscReal*);
600: PETSC_EXTERN PetscErrorCode MatZeroEntries(Mat);
601: PETSC_EXTERN PetscErrorCode MatZeroRows(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
602: PETSC_EXTERN PetscErrorCode MatZeroRowsIS(Mat,IS,PetscScalar,Vec,Vec);
603: PETSC_EXTERN PetscErrorCode MatZeroRowsStencil(Mat,PetscInt,const MatStencil [],PetscScalar,Vec,Vec);
604: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsStencil(Mat,PetscInt,const MatStencil[],PetscScalar,Vec,Vec);
605: PETSC_EXTERN PetscErrorCode MatZeroRowsColumns(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
606: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsIS(Mat,IS,PetscScalar,Vec,Vec);

608: PETSC_EXTERN PetscErrorCode MatGetSize(Mat,PetscInt*,PetscInt*);
609: PETSC_EXTERN PetscErrorCode MatGetLocalSize(Mat,PetscInt*,PetscInt*);
610: PETSC_EXTERN PetscErrorCode MatGetOwnershipRange(Mat,PetscInt*,PetscInt*);
611: PETSC_EXTERN PetscErrorCode MatGetOwnershipRanges(Mat,const PetscInt**);
612: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangeColumn(Mat,PetscInt*,PetscInt*);
613: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangesColumn(Mat,const PetscInt**);
614: PETSC_EXTERN PetscErrorCode MatGetOwnershipIS(Mat,IS*,IS*);

616: PETSC_EXTERN PetscErrorCode MatCreateSubMatrices(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
617: PETSC_DEPRECATED_FUNCTION("Use MatCreateSubMatrices() (since version 3.8)") PETSC_STATIC_INLINE PetscErrorCode MatGetSubMatrices(Mat mat,PetscInt n,const IS irow[],const IS icol[],MatReuse scall,Mat *submat[]) {return MatCreateSubMatrices(mat,n,irow,icol,scall,submat);}
618: PETSC_EXTERN PetscErrorCode MatCreateSubMatricesMPI(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
619: PETSC_DEPRECATED_FUNCTION("Use MatCreateSubMatricesMPI() (since version 3.8)") PETSC_STATIC_INLINE PetscErrorCode MatGetSubMatricesMPI(Mat mat,PetscInt n,const IS irow[],const IS icol[],MatReuse scall,Mat *submat[]) {return MatCreateSubMatricesMPI(mat,n,irow,icol,scall,submat);}
620: PETSC_EXTERN PetscErrorCode MatDestroyMatrices(PetscInt,Mat *[]);
621: PETSC_EXTERN PetscErrorCode MatDestroySubMatrices(PetscInt,Mat *[]);
622: PETSC_EXTERN PetscErrorCode MatCreateSubMatrix(Mat,IS,IS,MatReuse,Mat *);
623: PETSC_DEPRECATED_FUNCTION("Use MatCreateSubMatrix() (since version 3.8)") PETSC_STATIC_INLINE PetscErrorCode MatGetSubMatrix(Mat mat,IS isrow,IS iscol,MatReuse cll,Mat *newmat) {return MatCreateSubMatrix(mat,isrow,iscol,cll,newmat);}
624: PETSC_EXTERN PetscErrorCode MatGetLocalSubMatrix(Mat,IS,IS,Mat*);
625: PETSC_EXTERN PetscErrorCode MatRestoreLocalSubMatrix(Mat,IS,IS,Mat*);
626: PETSC_EXTERN PetscErrorCode MatGetSeqNonzeroStructure(Mat,Mat*);
627: PETSC_EXTERN PetscErrorCode MatDestroySeqNonzeroStructure(Mat*);

629: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJ(MPI_Comm,Mat,PetscInt,PetscInt,MatReuse,Mat*);
630: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJSymbolic(MPI_Comm,Mat,PetscInt,PetscInt,Mat*);
631: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJNumeric(Mat,Mat);
632: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMat(Mat,MatReuse,Mat*);
633: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMatCondensed(Mat,MatReuse,IS*,IS*,Mat*);
634: PETSC_EXTERN PetscErrorCode MatGetBrowsOfAcols(Mat,Mat,MatReuse,IS*,IS*,Mat*);
635: PETSC_EXTERN PetscErrorCode MatGetGhosts(Mat, PetscInt *,const PetscInt *[]);

637: PETSC_EXTERN PetscErrorCode MatIncreaseOverlap(Mat,PetscInt,IS[],PetscInt);
638: PETSC_EXTERN PetscErrorCode MatIncreaseOverlapSplit(Mat mat,PetscInt n,IS is[],PetscInt ov);
639: PETSC_EXTERN PetscErrorCode MatMPIAIJSetUseScalableIncreaseOverlap(Mat,PetscBool);

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

643: PETSC_EXTERN PetscErrorCode MatMatMatMult(Mat,Mat,Mat,MatReuse,PetscReal,Mat*);
644: PETSC_EXTERN PetscErrorCode MatGalerkin(Mat,Mat,Mat,MatReuse,PetscReal,Mat*);

646: PETSC_EXTERN PetscErrorCode MatPtAP(Mat,Mat,MatReuse,PetscReal,Mat*);
647: PETSC_EXTERN PetscErrorCode MatRARt(Mat,Mat,MatReuse,PetscReal,Mat*);

649: PETSC_EXTERN PetscErrorCode MatTransposeMatMult(Mat,Mat,MatReuse,PetscReal,Mat*);
650: PETSC_EXTERN PetscErrorCode MatMatTransposeMult(Mat,Mat,MatReuse,PetscReal,Mat*);

652: PETSC_EXTERN PetscErrorCode MatAXPY(Mat,PetscScalar,Mat,MatStructure);
653: PETSC_EXTERN PetscErrorCode MatAYPX(Mat,PetscScalar,Mat,MatStructure);

655: PETSC_EXTERN PetscErrorCode MatScale(Mat,PetscScalar);
656: PETSC_EXTERN PetscErrorCode MatShift(Mat,PetscScalar);

658: PETSC_EXTERN PetscErrorCode MatSetLocalToGlobalMapping(Mat,ISLocalToGlobalMapping,ISLocalToGlobalMapping);
659: PETSC_EXTERN PetscErrorCode MatGetLocalToGlobalMapping(Mat,ISLocalToGlobalMapping*,ISLocalToGlobalMapping*);
660: PETSC_EXTERN PetscErrorCode MatGetLayouts(Mat,PetscLayout*,PetscLayout*);
661: PETSC_EXTERN PetscErrorCode MatZeroRowsLocal(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
662: PETSC_EXTERN PetscErrorCode MatZeroRowsLocalIS(Mat,IS,PetscScalar,Vec,Vec);
663: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocal(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
664: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocalIS(Mat,IS,PetscScalar,Vec,Vec);
665: PETSC_EXTERN PetscErrorCode MatGetValuesLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],PetscScalar[]);
666: PETSC_EXTERN PetscErrorCode MatSetValuesLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
667: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);

669: PETSC_EXTERN PetscErrorCode MatStashSetInitialSize(Mat,PetscInt,PetscInt);
670: PETSC_EXTERN PetscErrorCode MatStashGetInfo(Mat,PetscInt*,PetscInt*,PetscInt*,PetscInt*);

672: PETSC_EXTERN PetscErrorCode MatInterpolate(Mat,Vec,Vec);
673: PETSC_EXTERN PetscErrorCode MatInterpolateAdd(Mat,Vec,Vec,Vec);
674: PETSC_EXTERN PetscErrorCode MatRestrict(Mat,Vec,Vec);
675: PETSC_EXTERN PetscErrorCode MatCreateVecs(Mat,Vec*,Vec*);
676: PETSC_DEPRECATED_FUNCTION("Use MatCreateVecs() (since version 3.6)") PETSC_STATIC_INLINE PetscErrorCode MatGetVecs(Mat mat,Vec *x,Vec *y) {return MatCreateVecs(mat,x,y);}
677: PETSC_EXTERN PetscErrorCode MatCreateRedundantMatrix(Mat,PetscInt,MPI_Comm,MatReuse,Mat*);
678: PETSC_EXTERN PetscErrorCode MatGetMultiProcBlock(Mat,MPI_Comm,MatReuse,Mat*);
679: PETSC_EXTERN PetscErrorCode MatFindZeroDiagonals(Mat,IS*);
680: PETSC_EXTERN PetscErrorCode MatFindOffBlockDiagonalEntries(Mat,IS*);
681: PETSC_EXTERN PetscErrorCode MatCreateMPIMatConcatenateSeqMat(MPI_Comm,Mat,PetscInt,MatReuse,Mat*);

683: /*MC
684:    MatSetValue - Set a single entry into a matrix.

686:    Not collective

688:    Synopsis:
689:  #include <petscmat.h>
690:      PetscErrorCode MatSetValue(Mat m,PetscInt row,PetscInt col,PetscScalar value,InsertMode mode)

692:    Input Parameters:
693: +  m - the matrix
694: .  row - the row location of the entry
695: .  col - the column location of the entry
696: .  value - the value to insert
697: -  mode - either INSERT_VALUES or ADD_VALUES

699:    Notes:
700:    For efficiency one should use MatSetValues() and set several or many
701:    values simultaneously if possible.

703:    Level: beginner

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

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

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

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

717:    Synopsis:
718:  #include <petscmat.h>
719:    PetscErrorCode MatPreallocateInitialize(MPI_Comm comm, PetscInt nrows, PetscInt ncols, PetscInt *dnz, PetscInt *onz)

721:    Collective

723:    Input Parameters:
724: +  comm - the communicator that will share the eventually allocated matrix
725: .  nrows - the number of LOCAL rows in the matrix
726: -  ncols - the number of LOCAL columns in the matrix

728:    Output Parameters:
729: +  dnz - the array that will be passed to the matrix preallocation routines
730: -  onz - the other array passed to the matrix preallocation routines

732:    Level: intermediate

734:    Notes:
735:     See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.

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

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

741: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
742:           MatPreallocateSymmetricSetLocalBlock()
743: M*/
744: #define MatPreallocateInitialize(comm,nrows,ncols,dnz,onz) 0; \
745: do { \
746:   PetscErrorCode _4_ierr; PetscInt __nrows = (nrows),__ncols = (ncols),__rstart,__start,__end; \
747:   _4_PetscCalloc2((size_t)__nrows,&dnz,(size_t)__nrows,&onz);CHKERRQ(_4_ierr); \
748:   __start = 0; __end = __start;                                         \
749:   _4_MPI_Scan(&__ncols,&__end,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __start = __end - __ncols;\
750:   _4_MPI_Scan(&__nrows,&__rstart,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __rstart = __rstart - __nrows; \
751:   do { } while(0)

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

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

761:    Not Collective

763:    Input Parameters:
764: +  map - the row mapping from local numbering to global numbering
765: .  nrows - the number of rows indicated
766: .  rows - the indices of the rows
767: .  cmap - the column mapping from local to global numbering
768: .  ncols - the number of columns in the matrix
769: .  cols - the columns indicated
770: .  dnz - the array that will be passed to the matrix preallocation routines
771: -  onz - the other array passed to the matrix preallocation routines

773:    Level: intermediate

775:    Notes:
776:     See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.

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

780: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
781:           MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock(), MatPreallocateSetLocalRemoveDups()
782: M*/
783: #define MatPreallocateSetLocal(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
784: do {\
785:   PetscInt __l;\
786:   _4_ISLocalToGlobalMappingApply(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
787:   _4_ISLocalToGlobalMappingApply(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
788:   for (__l=0;__l<nrows;__l++) {\
789:     _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
790:   }\
791:  } while (0)

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

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

801:    Not Collective

803:    Input Parameters:
804: +  map - the row mapping from local numbering to global numbering
805: .  nrows - the number of rows indicated
806: .  rows - the indices of the rows (these values are mapped to the global values)
807: .  cmap - the column mapping from local to global numbering
808: .  ncols - the number of columns in the matrix   (this value will be changed if duplicate columns are found)
809: .  cols - the columns indicated (these values are mapped to the global values, they are then sorted and duplicates removed)
810: .  dnz - the array that will be passed to the matrix preallocation routines
811: -  onz - the other array passed to the matrix preallocation routines

813:    Level: intermediate

815:    Notes:
816:     See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.

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

820: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
821:           MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock(), MatPreallocateSetLocal()
822: M*/
823: #define MatPreallocateSetLocalRemoveDups(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
824: do {\
825:   PetscInt __l;\
826:   _4_ISLocalToGlobalMappingApply(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
827:   _4_ISLocalToGlobalMappingApply(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
828:   _4_PetscSortRemoveDupsInt(&ncols,cols);CHKERRQ(_4_ierr);\
829:   for (__l=0;__l<nrows;__l++) {\
830:     _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
831:   }\
832:  } while (0)

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

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

842:    Not Collective

844:    Input Parameters:
845: +  map - the row mapping from local numbering to global numbering
846: .  nrows - the number of rows indicated
847: .  rows - the indices of the rows
848: .  cmap - the column mapping from local to global numbering
849: .  ncols - the number of columns in the matrix
850: .  cols - the columns indicated
851: .  dnz - the array that will be passed to the matrix preallocation routines
852: -  onz - the other array passed to the matrix preallocation routines

854:    Level: intermediate

856:    Notes:
857:     See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.

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

861: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
862:           MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock()
863: M*/
864: #define MatPreallocateSetLocalBlock(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
865: do {\
866:   PetscInt __l;\
867:   _4_ISLocalToGlobalMappingApplyBlock(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
868:   _4_ISLocalToGlobalMappingApplyBlock(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
869:   for (__l=0;__l<nrows;__l++) {\
870:     _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
871:   }\
872: } while (0)

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

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

882:    Not Collective

884:    Input Parameters:
885: +  map - the mapping between local numbering and global numbering
886: .  nrows - the number of rows indicated
887: .  rows - the indices of the rows
888: .  ncols - the number of columns in the matrix
889: .  cols - the columns indicated
890: .  dnz - the array that will be passed to the matrix preallocation routines
891: -  onz - the other array passed to the matrix preallocation routines

893:    Level: intermediate

895:    Notes:
896:     See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.

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

900: .seealso: MatPreallocateFinalize(), MatPreallocateSet()
901:           MatPreallocateInitialize(),  MatPreallocateSetLocal()
902: M*/
903: #define MatPreallocateSymmetricSetLocalBlock(map,nrows,rows,ncols,cols,dnz,onz) 0;\
904: do {\
905:   PetscInt __l;\
906:   _4_ISLocalToGlobalMappingApplyBlock(map,nrows,rows,rows);CHKERRQ(_4_ierr);\
907:   _4_ISLocalToGlobalMappingApplyBlock(map,ncols,cols,cols);CHKERRQ(_4_ierr);\
908:   for (__l=0;__l<nrows;__l++) {\
909:     _4_MatPreallocateSymmetricSetBlock((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
910:   }\
911: } while (0)

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

917:    Synopsis:
918:  #include <petscmat.h>
919:    PetscErrorCode MatPreallocateSet(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)

921:    Not Collective

923:    Input Parameters:
924: +  row - the row
925: .  ncols - the number of columns in the matrix
926: -  cols - the columns indicated

928:    Output Parameters:
929: +  dnz - the array that will be passed to the matrix preallocation routines
930: -  onz - the other array passed to the matrix preallocation routines

932:    Level: intermediate

934:    Notes:
935:     See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.

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

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

941: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
942:           MatPreallocateInitialize(), MatPreallocateSetLocal()
943: M*/
944: #define MatPreallocateSet(row,nc,cols,dnz,onz) 0;\
945: do { PetscInt __i; \
946:   if (row < __rstart) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Trying to set preallocation for row %D less than first local row %D",row,__rstart);\
947:   if (row >= __rstart+__nrows) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Trying to set preallocation for row %D greater than last local row %D",row,__rstart+__nrows-1);\
948:   for (__i=0; __i<nc; __i++) {\
949:     if ((cols)[__i] < __start || (cols)[__i] >= __end) onz[row - __rstart]++; \
950:     else if (dnz[row - __rstart] < __ncols) dnz[row - __rstart]++;\
951:   }\
952: } while (0)

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

958:    Synopsis:
959:  #include <petscmat.h>
960:    PetscErrorCode MatPreallocateSymmetricSetBlock(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)

962:    Not Collective

964:    Input Parameters:
965: +  nrows - the number of rows indicated
966: .  rows - the indices of the rows
967: .  ncols - the number of columns in the matrix
968: .  cols - the columns indicated
969: .  dnz - the array that will be passed to the matrix preallocation routines
970: -  onz - the other array passed to the matrix preallocation routines

972:    Level: intermediate

974:    Notes:
975:     See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.

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

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

981: .seealso: MatPreallocateFinalize(), MatPreallocateSet(),  MatPreallocateInitialize(),
982:           MatPreallocateSymmetricSetLocalBlock(), MatPreallocateSetLocal()
983: M*/
984: #define MatPreallocateSymmetricSetBlock(row,nc,cols,dnz,onz) 0;\
985: do { PetscInt __i; \
986:   for (__i=0; __i<nc; __i++) {\
987:     if (cols[__i] >= __end) onz[row - __rstart]++; \
988:     else if (cols[__i] >= row && dnz[row - __rstart] < __ncols) dnz[row - __rstart]++;\
989:   }\
990: } while (0)

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

995:    Synopsis:
996:  #include <petscmat.h>
997:    PetscErrorCode MatPreallocateLocations(Mat A,PetscInt row,PetscInt ncols,PetscInt *cols,PetscInt *dnz,PetscInt *onz)

999:    Not Collective

1001:    Input Parameters:
1002: +  A - matrix
1003: .  row - row where values exist (must be local to this process)
1004: .  ncols - number of columns
1005: .  cols - columns with nonzeros
1006: .  dnz - the array that will be passed to the matrix preallocation routines
1007: -  onz - the other array passed to the matrix preallocation routines

1009:    Level: intermediate

1011:    Notes:
1012:     See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.

1014:    Do not malloc or free dnz and onz that is handled internally by these routines

1016:    This is a MACRO not a function because it uses a bunch of variables private to the MatPreallocation.... routines.

1018: .seealso: MatPreallocateInitialize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
1019:           MatPreallocateSymmetricSetLocalBlock()
1020: M*/
1021: #define MatPreallocateLocation(A,row,ncols,cols,dnz,onz) 0; do {if (A) {MatSetValues(A,1,&row,ncols,cols,NULL,INSERT_VALUES);} else { MatPreallocateSet(row,ncols,cols,dnz,onz);}} while(0)


1024: /*MC
1025:    MatPreallocateFinalize - Ends the block of code that will count the number of nonzeros per
1026:        row in a matrix providing the data that one can use to correctly preallocate the matrix.

1028:    Synopsis:
1029:  #include <petscmat.h>
1030:    PetscErrorCode MatPreallocateFinalize(PetscInt *dnz, PetscInt *onz)

1032:    Collective

1034:    Input Parameters:
1035: +  dnz - the array that was be passed to the matrix preallocation routines
1036: -  onz - the other array passed to the matrix preallocation routines

1038:    Level: intermediate

1040:    Notes:
1041:     See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.

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

1045:    This is a MACRO not a function because it closes the { started in MatPreallocateInitialize().

1047: .seealso: MatPreallocateInitialize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
1048:           MatPreallocateSymmetricSetLocalBlock()
1049: M*/
1050: #define MatPreallocateFinalize(dnz,onz) 0;_4_PetscFree2(dnz,onz);CHKERRQ(_4_ierr);} while(0)

1052: /* Routines unique to particular data structures */
1053: PETSC_EXTERN PetscErrorCode MatShellGetContext(Mat,void *);

1055: PETSC_EXTERN PetscErrorCode MatInodeAdjustForInodes(Mat,IS*,IS*);
1056: PETSC_EXTERN PetscErrorCode MatInodeGetInodeSizes(Mat,PetscInt *,PetscInt *[],PetscInt *);

1058: PETSC_EXTERN PetscErrorCode MatSeqAIJSetColumnIndices(Mat,PetscInt[]);
1059: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetColumnIndices(Mat,PetscInt[]);
1060: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
1061: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
1062: PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
1063: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJFromTriple(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*,PetscInt,PetscBool);

1065: #define MAT_SKIP_ALLOCATION -4

1067: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
1068: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
1069: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocation(Mat,PetscInt,const PetscInt[]);

1071: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1072: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1073: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1074: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocationCSR(Mat,const PetscInt [],const PetscInt [],const PetscScalar []);
1075: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
1076: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocationCSR(Mat,const PetscInt[],const PetscInt[],const PetscScalar[]);
1077: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
1078: PETSC_EXTERN PetscErrorCode MatMPIAdjSetPreallocation(Mat,PetscInt[],PetscInt[],PetscInt[]);
1079: PETSC_EXTERN PetscErrorCode MatMPIAdjToSeq(Mat,Mat*);
1080: PETSC_EXTERN PetscErrorCode MatMPIDenseSetPreallocation(Mat,PetscScalar[]);
1081: PETSC_EXTERN PetscErrorCode MatSeqDenseSetPreallocation(Mat,PetscScalar[]);
1082: PETSC_EXTERN PetscErrorCode MatMPIAIJGetSeqAIJ(Mat,Mat*,Mat*,const PetscInt*[]);
1083: PETSC_EXTERN PetscErrorCode MatMPIBAIJGetSeqBAIJ(Mat,Mat*,Mat*,const PetscInt*[]);
1084: PETSC_EXTERN PetscErrorCode MatMPIAdjCreateNonemptySubcommMat(Mat,Mat*);

1086: PETSC_EXTERN PetscErrorCode MatSeqDenseSetLDA(Mat,PetscInt);
1087: PETSC_EXTERN PetscErrorCode MatDenseGetLDA(Mat,PetscInt*);
1088: PETSC_EXTERN PetscErrorCode MatDenseGetLocalMatrix(Mat,Mat*);

1090: PETSC_EXTERN PetscErrorCode MatBlockMatSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);

1092: PETSC_EXTERN PetscErrorCode MatStoreValues(Mat);
1093: PETSC_EXTERN PetscErrorCode MatRetrieveValues(Mat);

1095: PETSC_EXTERN PetscErrorCode MatDAADSetCtx(Mat,void*);

1097: PETSC_EXTERN PetscErrorCode MatFindNonzeroRows(Mat,IS*);
1098: PETSC_EXTERN PetscErrorCode MatFindZeroRows(Mat,IS*);
1099: /*
1100:   These routines are not usually accessed directly, rather solving is
1101:   done through the KSP and PC interfaces.
1102: */

1104: /*J
1105:     MatOrderingType - String with the name of a PETSc matrix ordering

1107:    Level: beginner

1109: .seealso: MatGetOrdering()
1110: J*/
1111: typedef const char* MatOrderingType;
1112: #define MATORDERINGNATURAL        "natural"
1113: #define MATORDERINGND             "nd"
1114: #define MATORDERING1WD            "1wd"
1115: #define MATORDERINGRCM            "rcm"
1116: #define MATORDERINGQMD            "qmd"
1117: #define MATORDERINGROWLENGTH      "rowlength"
1118: #define MATORDERINGWBM            "wbm"
1119: #define MATORDERINGSPECTRAL       "spectral"
1120: #define MATORDERINGAMD            "amd"            /* only works if UMFPACK is installed with PETSc */
1121: #define MATORDERINGNATURAL_OR_ND  "natural_or_nd"  /* special coase used for Cholesky and ICC, allows ND when AIJ matrix is used but Natural when SBAIJ is used */

1123: PETSC_EXTERN PetscErrorCode MatGetOrdering(Mat,MatOrderingType,IS*,IS*);
1124: PETSC_EXTERN PetscErrorCode MatGetOrderingList(PetscFunctionList*);
1125: PETSC_EXTERN PetscErrorCode MatOrderingRegister(const char[],PetscErrorCode(*)(Mat,MatOrderingType,IS*,IS*));
1126: PETSC_EXTERN PetscFunctionList MatOrderingList;

1128: PETSC_EXTERN PetscErrorCode MatReorderForNonzeroDiagonal(Mat,PetscReal,IS,IS);
1129: PETSC_EXTERN PetscErrorCode MatCreateLaplacian(Mat,PetscReal,PetscBool,Mat*);

1131: /*S
1132:     MatFactorShiftType - Numeric Shift for factorizations

1134:    Level: beginner

1136: .seealso: MatGetFactor()
1137: S*/
1138: typedef enum {MAT_SHIFT_NONE,MAT_SHIFT_NONZERO,MAT_SHIFT_POSITIVE_DEFINITE,MAT_SHIFT_INBLOCKS} MatFactorShiftType;
1139: PETSC_EXTERN const char *const MatFactorShiftTypes[];
1140: PETSC_EXTERN const char *const MatFactorShiftTypesDetail[];

1142: /*S
1143:     MatFactorError - indicates what type of error was generated in a matrix factorization

1145:     Level: beginner

1147:     Developer Notes:
1148:     Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h

1150: .seealso: MatGetFactor()
1151: S*/
1152: typedef enum {MAT_FACTOR_NOERROR,MAT_FACTOR_STRUCT_ZEROPIVOT,MAT_FACTOR_NUMERIC_ZEROPIVOT,MAT_FACTOR_OUTMEMORY,MAT_FACTOR_OTHER} MatFactorError;

1154: PETSC_EXTERN PetscErrorCode MatFactorGetError(Mat,MatFactorError*);
1155: PETSC_EXTERN PetscErrorCode MatFactorClearError(Mat);
1156: PETSC_EXTERN PetscErrorCode MatFactorGetErrorZeroPivot(Mat,PetscReal*,PetscInt*);

1158: /*S
1159:    MatFactorInfo - Data passed into the matrix factorization routines, and information about the resulting factorization

1161:    In Fortran these are simply double precision arrays of size MAT_FACTORINFO_SIZE, that is use
1162: $     MatFactorInfo  info(MAT_FACTORINFO_SIZE)

1164:    Notes:
1165:     These are not usually directly used by users, instead use PC type of LU, ILU, CHOLESKY or ICC.

1167:       You can use MatFactorInfoInitialize() to set default values.

1169:    Level: developer

1171: .seealso: MatLUFactorSymbolic(), MatILUFactorSymbolic(), MatCholeskyFactorSymbolic(), MatICCFactorSymbolic(), MatICCFactor(),
1172:           MatFactorInfoInitialize()

1174: S*/
1175: typedef struct {
1176:   PetscReal     diagonal_fill;  /* force diagonal to fill in if initially not filled */
1177:   PetscReal     usedt;
1178:   PetscReal     dt;             /* drop tolerance */
1179:   PetscReal     dtcol;          /* tolerance for pivoting */
1180:   PetscReal     dtcount;        /* maximum nonzeros to be allowed per row */
1181:   PetscReal     fill;           /* expected fill, nonzeros in factored matrix/nonzeros in original matrix */
1182:   PetscReal     levels;         /* ICC/ILU(levels) */
1183:   PetscReal     pivotinblocks;  /* for BAIJ and SBAIJ matrices pivot in factorization on blocks, default 1.0
1184:                                    factorization may be faster if do not pivot */
1185:   PetscReal     zeropivot;      /* pivot is called zero if less than this */
1186:   PetscReal     shifttype;      /* type of shift added to matrix factor to prevent zero pivots */
1187:   PetscReal     shiftamount;     /* how large the shift is */
1188: } MatFactorInfo;

1190: PETSC_EXTERN PetscErrorCode MatFactorInfoInitialize(MatFactorInfo*);
1191: PETSC_EXTERN PetscErrorCode MatCholeskyFactor(Mat,IS,const MatFactorInfo*);
1192: PETSC_EXTERN PetscErrorCode MatCholeskyFactorSymbolic(Mat,Mat,IS,const MatFactorInfo*);
1193: PETSC_EXTERN PetscErrorCode MatCholeskyFactorNumeric(Mat,Mat,const MatFactorInfo*);
1194: PETSC_EXTERN PetscErrorCode MatLUFactor(Mat,IS,IS,const MatFactorInfo*);
1195: PETSC_EXTERN PetscErrorCode MatILUFactor(Mat,IS,IS,const MatFactorInfo*);
1196: PETSC_EXTERN PetscErrorCode MatLUFactorSymbolic(Mat,Mat,IS,IS,const MatFactorInfo*);
1197: PETSC_EXTERN PetscErrorCode MatILUFactorSymbolic(Mat,Mat,IS,IS,const MatFactorInfo*);
1198: PETSC_EXTERN PetscErrorCode MatICCFactorSymbolic(Mat,Mat,IS,const MatFactorInfo*);
1199: PETSC_EXTERN PetscErrorCode MatICCFactor(Mat,IS,const MatFactorInfo*);
1200: PETSC_EXTERN PetscErrorCode MatLUFactorNumeric(Mat,Mat,const MatFactorInfo*);
1201: PETSC_EXTERN PetscErrorCode MatGetInertia(Mat,PetscInt*,PetscInt*,PetscInt*);
1202: PETSC_EXTERN PetscErrorCode MatSolve(Mat,Vec,Vec);
1203: PETSC_EXTERN PetscErrorCode MatForwardSolve(Mat,Vec,Vec);
1204: PETSC_EXTERN PetscErrorCode MatBackwardSolve(Mat,Vec,Vec);
1205: PETSC_EXTERN PetscErrorCode MatSolveAdd(Mat,Vec,Vec,Vec);
1206: PETSC_EXTERN PetscErrorCode MatSolveTranspose(Mat,Vec,Vec);
1207: PETSC_EXTERN PetscErrorCode MatSolveTransposeAdd(Mat,Vec,Vec,Vec);
1208: PETSC_EXTERN PetscErrorCode MatSolves(Mat,Vecs,Vecs);
1209: PETSC_EXTERN PetscErrorCode MatSetUnfactored(Mat);

1211: typedef enum {MAT_FACTOR_SCHUR_UNFACTORED, MAT_FACTOR_SCHUR_FACTORED, MAT_FACTOR_SCHUR_INVERTED} MatFactorSchurStatus;
1212: PETSC_EXTERN PetscErrorCode MatFactorSetSchurIS(Mat,IS);
1213: PETSC_EXTERN PetscErrorCode MatFactorGetSchurComplement(Mat,Mat*,MatFactorSchurStatus*);
1214: PETSC_EXTERN PetscErrorCode MatFactorRestoreSchurComplement(Mat,Mat*,MatFactorSchurStatus);
1215: PETSC_EXTERN PetscErrorCode MatFactorInvertSchurComplement(Mat);
1216: PETSC_EXTERN PetscErrorCode MatFactorCreateSchurComplement(Mat,Mat*,MatFactorSchurStatus*);
1217: PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplement(Mat,Vec,Vec);
1218: PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplementTranspose(Mat,Vec,Vec);
1219: PETSC_EXTERN PetscErrorCode MatFactorFactorizeSchurComplement(Mat);

1221: /*E
1222:     MatSORType - What type of (S)SOR to perform

1224:     Level: beginner

1226:    May be bitwise ORd together

1228:    Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h

1230:    MatSORType may be bitwise ORd together, so do not change the numbers

1232: .seealso: MatSOR()
1233: E*/
1234: typedef enum {SOR_FORWARD_SWEEP=1,SOR_BACKWARD_SWEEP=2,SOR_SYMMETRIC_SWEEP=3,
1235:               SOR_LOCAL_FORWARD_SWEEP=4,SOR_LOCAL_BACKWARD_SWEEP=8,
1236:               SOR_LOCAL_SYMMETRIC_SWEEP=12,SOR_ZERO_INITIAL_GUESS=16,
1237:               SOR_EISENSTAT=32,SOR_APPLY_UPPER=64,SOR_APPLY_LOWER=128} MatSORType;
1238: PETSC_EXTERN PetscErrorCode MatSOR(Mat,Vec,PetscReal,MatSORType,PetscReal,PetscInt,PetscInt,Vec);

1240: /*
1241:     These routines are for efficiently computing Jacobians via finite differences.
1242: */

1244: /*S
1245:      MatColoring - Object for managing the coloring of matrices.

1247:    Level: beginner

1249:     Notes:
1250:        Coloring of matrices can be computed directly from the sparse matrix nonzero structure via the MatColoring object or from the mesh from which the
1251:        matrix comes from via DMCreateColoring(). In general using the mesh produces a more optimal coloring (fewer colors).

1253:        Once a coloring is available MatFDColoringCreate() creates an object that can be used to efficiently compute Jacobians using that coloring. This
1254:        same object can also be used to efficiently convert data created by Automatic Differentation tools to PETSc sparse matrices.

1256: .seealso:  MatFDColoringCreate(), MatColoringWeightType, ISColoring, MatFDColoring, DMCreateColoring(), MatColoringCreate(), MatOrdering, MatPartitioning
1257: S*/
1258: typedef struct _p_MatColoring* MatColoring;

1260: /*J
1261:     MatColoringType - String with the name of a PETSc matrix coloring

1263:    Level: beginner

1265: .seealso: MatColoringSetType(), MatColoring
1266: J*/
1267: typedef const  char*           MatColoringType;
1268: #define MATCOLORINGJP      "jp"
1269: #define MATCOLORINGPOWER   "power"
1270: #define MATCOLORINGNATURAL "natural"
1271: #define MATCOLORINGSL      "sl"
1272: #define MATCOLORINGLF      "lf"
1273: #define MATCOLORINGID      "id"
1274: #define MATCOLORINGGREEDY  "greedy"

1276: /*E
1277:    MatColoringWeightType - Type of weight scheme

1279:     Not Collective

1281: +   MAT_COLORING_RANDOM  - Random weights
1282: .   MAT_COLORING_LEXICAL - Lexical weighting based upon global numbering.
1283: -   MAT_COLORING_LF      - Last-first weighting.

1285:     Level: intermediate

1287:    Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h

1289: .seealso: MatColoring, MatColoringCreate()
1290: E*/
1291: typedef enum {MAT_COLORING_WEIGHT_RANDOM,MAT_COLORING_WEIGHT_LEXICAL,MAT_COLORING_WEIGHT_LF,MAT_COLORING_WEIGHT_SL} MatColoringWeightType;

1293: PETSC_EXTERN PetscErrorCode MatColoringCreate(Mat,MatColoring*);
1294: PETSC_EXTERN PetscErrorCode MatColoringGetDegrees(Mat,PetscInt,PetscInt*);
1295: PETSC_EXTERN PetscErrorCode MatColoringDestroy(MatColoring*);
1296: PETSC_EXTERN PetscErrorCode MatColoringView(MatColoring,PetscViewer);
1297: PETSC_EXTERN PetscErrorCode MatColoringSetType(MatColoring,MatColoringType);
1298: PETSC_EXTERN PetscErrorCode MatColoringSetFromOptions(MatColoring);
1299: PETSC_EXTERN PetscErrorCode MatColoringSetDistance(MatColoring,PetscInt);
1300: PETSC_EXTERN PetscErrorCode MatColoringGetDistance(MatColoring,PetscInt*);
1301: PETSC_EXTERN PetscErrorCode MatColoringSetMaxColors(MatColoring,PetscInt);
1302: PETSC_EXTERN PetscErrorCode MatColoringGetMaxColors(MatColoring,PetscInt*);
1303: PETSC_EXTERN PetscErrorCode MatColoringApply(MatColoring,ISColoring*);
1304: PETSC_EXTERN PetscErrorCode MatColoringRegister(const char[],PetscErrorCode(*)(MatColoring));
1305: PETSC_EXTERN PetscErrorCode MatColoringPatch(Mat,PetscInt,PetscInt,ISColoringValue[],ISColoring*);
1306: PETSC_EXTERN PetscErrorCode MatColoringSetWeightType(MatColoring,MatColoringWeightType);
1307: PETSC_EXTERN PetscErrorCode MatColoringSetWeights(MatColoring,PetscReal*,PetscInt*);
1308: PETSC_EXTERN PetscErrorCode MatColoringCreateWeights(MatColoring,PetscReal **,PetscInt **lperm);
1309: PETSC_EXTERN PetscErrorCode MatColoringTest(MatColoring,ISColoring);
1310: PETSC_DEPRECATED_FUNCTION("Use MatColoringTest() (since version 3.10)") PETSC_STATIC_INLINE PetscErrorCode MatColoringTestValid(MatColoring matcoloring,ISColoring iscoloring) {return MatColoringTest(matcoloring,iscoloring);}
1311: PETSC_EXTERN PetscErrorCode MatISColoringTest(Mat,ISColoring);

1313: /*S
1314:      MatFDColoring - Object for computing a sparse Jacobian via finite differences
1315:         and coloring

1317:    Level: beginner

1319:    Notes:
1320:       This object is creating utilizing a coloring provided by the MatColoring object or DMCreateColoring()

1322: .seealso:  MatFDColoringCreate(), MatColoring, DMCreateColoring()
1323: S*/
1324: typedef struct _p_MatFDColoring* MatFDColoring;

1326: PETSC_EXTERN PetscErrorCode MatFDColoringCreate(Mat,ISColoring,MatFDColoring *);
1327: PETSC_EXTERN PetscErrorCode MatFDColoringDestroy(MatFDColoring*);
1328: PETSC_EXTERN PetscErrorCode MatFDColoringView(MatFDColoring,PetscViewer);
1329: PETSC_EXTERN PetscErrorCode MatFDColoringSetFunction(MatFDColoring,PetscErrorCode (*)(void),void*);
1330: PETSC_EXTERN PetscErrorCode MatFDColoringGetFunction(MatFDColoring,PetscErrorCode (**)(void),void**);
1331: PETSC_EXTERN PetscErrorCode MatFDColoringSetParameters(MatFDColoring,PetscReal,PetscReal);
1332: PETSC_EXTERN PetscErrorCode MatFDColoringSetFromOptions(MatFDColoring);
1333: PETSC_EXTERN PetscErrorCode MatFDColoringApply(Mat,MatFDColoring,Vec,void *);
1334: PETSC_EXTERN PetscErrorCode MatFDColoringSetF(MatFDColoring,Vec);
1335: PETSC_EXTERN PetscErrorCode MatFDColoringGetPerturbedColumns(MatFDColoring,PetscInt*,const PetscInt*[]);
1336: PETSC_EXTERN PetscErrorCode MatFDColoringSetUp(Mat,ISColoring,MatFDColoring);
1337: PETSC_EXTERN PetscErrorCode MatFDColoringSetBlockSize(MatFDColoring,PetscInt,PetscInt);
1338: PETSC_EXTERN PetscErrorCode MatFDColoringSetValues(Mat,MatFDColoring,const PetscScalar*);

1340: /*S
1341:      MatTransposeColoring - Object for computing a sparse matrix product C=A*B^T via coloring

1343:    Level: beginner

1345: .seealso:  MatTransposeColoringCreate()
1346: S*/
1347: typedef struct _p_MatTransposeColoring* MatTransposeColoring;

1349: PETSC_EXTERN PetscErrorCode MatTransposeColoringCreate(Mat,ISColoring,MatTransposeColoring *);
1350: PETSC_EXTERN PetscErrorCode MatTransColoringApplySpToDen(MatTransposeColoring,Mat,Mat);
1351: PETSC_EXTERN PetscErrorCode MatTransColoringApplyDenToSp(MatTransposeColoring,Mat,Mat);
1352: PETSC_EXTERN PetscErrorCode MatTransposeColoringDestroy(MatTransposeColoring*);

1354: /*
1355:     These routines are for partitioning matrices: currently used only
1356:   for adjacency matrix, MatCreateMPIAdj().
1357: */

1359: /*S
1360:      MatPartitioning - Object for managing the partitioning of a matrix or graph

1362:    Level: beginner

1364:    Notes:
1365:      There is also a PetscPartitioner object that provides the same functionality. It can utilize the MatPartitioning operations
1366:      via PetscPartitionerSetType(p,PETSCPARTITIONERMATPARTITIONING)

1368:    Developers Note:
1369:      It is an extra maintainance and documentation cost to have two objects with the same functionality.

1371: .seealso:  MatPartitioningCreate(), MatPartitioningType, MatColoring, MatGetOrdering()
1372: S*/
1373: typedef struct _p_MatPartitioning* MatPartitioning;

1375: /*J
1376:     MatPartitioningType - String with the name of a PETSc matrix partitioning

1378:    Level: beginner
1379: dm
1380: .seealso: MatPartitioningCreate(), MatPartitioning
1381: J*/
1382: typedef const char* MatPartitioningType;
1383: #define MATPARTITIONINGCURRENT  "current"
1384: #define MATPARTITIONINGAVERAGE   "average"
1385: #define MATPARTITIONINGSQUARE   "square"
1386: #define MATPARTITIONINGPARMETIS "parmetis"
1387: #define MATPARTITIONINGCHACO    "chaco"
1388: #define MATPARTITIONINGPARTY    "party"
1389: #define MATPARTITIONINGPTSCOTCH "ptscotch"
1390: #define MATPARTITIONINGHIERARCH  "hierarch"

1392: PETSC_EXTERN PetscErrorCode MatPartitioningCreate(MPI_Comm,MatPartitioning*);
1393: PETSC_EXTERN PetscErrorCode MatPartitioningSetType(MatPartitioning,MatPartitioningType);
1394: PETSC_EXTERN PetscErrorCode MatPartitioningSetNParts(MatPartitioning,PetscInt);
1395: PETSC_EXTERN PetscErrorCode MatPartitioningSetAdjacency(MatPartitioning,Mat);
1396: PETSC_EXTERN PetscErrorCode MatPartitioningSetVertexWeights(MatPartitioning,const PetscInt[]);
1397: PETSC_EXTERN PetscErrorCode MatPartitioningSetPartitionWeights(MatPartitioning,const PetscReal []);
1398: PETSC_EXTERN PetscErrorCode MatPartitioningSetUseEdgeWeights(MatPartitioning,PetscBool);
1399: PETSC_EXTERN PetscErrorCode MatPartitioningGetUseEdgeWeights(MatPartitioning,PetscBool*);
1400: PETSC_EXTERN PetscErrorCode MatPartitioningApply(MatPartitioning,IS*);
1401: PETSC_EXTERN PetscErrorCode MatPartitioningImprove(MatPartitioning,IS*);
1402: PETSC_EXTERN PetscErrorCode MatPartitioningViewImbalance(MatPartitioning,IS);
1403: PETSC_EXTERN PetscErrorCode MatPartitioningApplyND(MatPartitioning,IS*);
1404: PETSC_EXTERN PetscErrorCode MatPartitioningDestroy(MatPartitioning*);
1405: PETSC_EXTERN PetscErrorCode MatPartitioningRegister(const char[],PetscErrorCode (*)(MatPartitioning));
1406: PETSC_EXTERN PetscErrorCode MatPartitioningView(MatPartitioning,PetscViewer);
1407: PETSC_EXTERN PetscErrorCode MatPartitioningViewFromOptions(MatPartitioning,PetscObject,const char[]);
1408: PETSC_EXTERN PetscErrorCode MatPartitioningSetFromOptions(MatPartitioning);
1409: PETSC_EXTERN PetscErrorCode MatPartitioningGetType(MatPartitioning,MatPartitioningType*);

1411: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetRepartition(MatPartitioning part);
1412: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetCoarseSequential(MatPartitioning);
1413: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisGetEdgeCut(MatPartitioning, PetscInt *);

1415: typedef enum { MP_CHACO_MULTILEVEL=1,MP_CHACO_SPECTRAL=2,MP_CHACO_LINEAR=4,MP_CHACO_RANDOM=5,MP_CHACO_SCATTERED=6 } MPChacoGlobalType;
1416: PETSC_EXTERN const char *const MPChacoGlobalTypes[];
1417: typedef enum { MP_CHACO_KERNIGHAN=1,MP_CHACO_NONE=2 } MPChacoLocalType;
1418: PETSC_EXTERN const char *const MPChacoLocalTypes[];
1419: typedef enum { MP_CHACO_LANCZOS=0,MP_CHACO_RQI=1 } MPChacoEigenType;
1420: PETSC_EXTERN const char *const MPChacoEigenTypes[];

1422: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetGlobal(MatPartitioning,MPChacoGlobalType);
1423: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetGlobal(MatPartitioning,MPChacoGlobalType*);
1424: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetLocal(MatPartitioning,MPChacoLocalType);
1425: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetLocal(MatPartitioning,MPChacoLocalType*);
1426: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetCoarseLevel(MatPartitioning,PetscReal);
1427: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenSolver(MatPartitioning,MPChacoEigenType);
1428: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenSolver(MatPartitioning,MPChacoEigenType*);
1429: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenTol(MatPartitioning,PetscReal);
1430: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenTol(MatPartitioning,PetscReal*);
1431: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenNumber(MatPartitioning,PetscInt);
1432: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenNumber(MatPartitioning,PetscInt*);

1434: #define MP_PARTY_OPT "opt"
1435: #define MP_PARTY_LIN "lin"
1436: #define MP_PARTY_SCA "sca"
1437: #define MP_PARTY_RAN "ran"
1438: #define MP_PARTY_GBF "gbf"
1439: #define MP_PARTY_GCF "gcf"
1440: #define MP_PARTY_BUB "bub"
1441: #define MP_PARTY_DEF "def"
1442: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetGlobal(MatPartitioning,const char*);
1443: #define MP_PARTY_HELPFUL_SETS "hs"
1444: #define MP_PARTY_KERNIGHAN_LIN "kl"
1445: #define MP_PARTY_NONE "no"
1446: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetLocal(MatPartitioning,const char*);
1447: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetCoarseLevel(MatPartitioning,PetscReal);
1448: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetBipart(MatPartitioning,PetscBool);
1449: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetMatchOptimization(MatPartitioning,PetscBool);

1451: typedef enum { MP_PTSCOTCH_DEFAULT,MP_PTSCOTCH_QUALITY,MP_PTSCOTCH_SPEED,MP_PTSCOTCH_BALANCE,MP_PTSCOTCH_SAFETY,MP_PTSCOTCH_SCALABILITY } MPPTScotchStrategyType;
1452: PETSC_EXTERN const char *const MPPTScotchStrategyTypes[];

1454: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetImbalance(MatPartitioning,PetscReal);
1455: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetImbalance(MatPartitioning,PetscReal*);
1456: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetStrategy(MatPartitioning,MPPTScotchStrategyType);
1457: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetStrategy(MatPartitioning,MPPTScotchStrategyType*);

1459: /*
1460:  * hierarchical partitioning
1461:  */
1462: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetFineparts(MatPartitioning,IS*);
1463: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetCoarseparts(MatPartitioning,IS*);
1464: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNcoarseparts(MatPartitioning,PetscInt);
1465: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNfineparts(MatPartitioning, PetscInt);

1467: PETSC_EXTERN PetscErrorCode MatMeshToVertexGraph(Mat,PetscInt,Mat*);
1468: PETSC_EXTERN PetscErrorCode MatMeshToCellGraph(Mat,PetscInt,Mat*);

1470: /*
1471:     If you add entries here you must also add them to include/petscmat.h
1472:     and src/mat/f90-mod/petscmat.h
1473: */
1474: typedef enum { MATOP_SET_VALUES=0,
1475:                MATOP_GET_ROW=1,
1476:                MATOP_RESTORE_ROW=2,
1477:                MATOP_MULT=3,
1478:                MATOP_MULT_ADD=4,
1479:                MATOP_MULT_TRANSPOSE=5,
1480:                MATOP_MULT_TRANSPOSE_ADD=6,
1481:                MATOP_SOLVE=7,
1482:                MATOP_SOLVE_ADD=8,
1483:                MATOP_SOLVE_TRANSPOSE=9,
1484:                MATOP_SOLVE_TRANSPOSE_ADD=10,
1485:                MATOP_LUFACTOR=11,
1486:                MATOP_CHOLESKYFACTOR=12,
1487:                MATOP_SOR=13,
1488:                MATOP_TRANSPOSE=14,
1489:                MATOP_GETINFO=15,
1490:                MATOP_EQUAL=16,
1491:                MATOP_GET_DIAGONAL=17,
1492:                MATOP_DIAGONAL_SCALE=18,
1493:                MATOP_NORM=19,
1494:                MATOP_ASSEMBLY_BEGIN=20,
1495:                MATOP_ASSEMBLY_END=21,
1496:                MATOP_SET_OPTION=22,
1497:                MATOP_ZERO_ENTRIES=23,
1498:                MATOP_ZERO_ROWS=24,
1499:                MATOP_LUFACTOR_SYMBOLIC=25,
1500:                MATOP_LUFACTOR_NUMERIC=26,
1501:                MATOP_CHOLESKY_FACTOR_SYMBOLIC=27,
1502:                MATOP_CHOLESKY_FACTOR_NUMERIC=28,
1503:                MATOP_SETUP_PREALLOCATION=29,
1504:                MATOP_ILUFACTOR_SYMBOLIC=30,
1505:                MATOP_ICCFACTOR_SYMBOLIC=31,
1506:                MATOP_GET_DIAGONAL_BLOCK=32,
1507:                MATOP_FREE_INTER_STRUCT=33,
1508:                MATOP_DUPLICATE=34,
1509:                MATOP_FORWARD_SOLVE=35,
1510:                MATOP_BACKWARD_SOLVE=36,
1511:                MATOP_ILUFACTOR=37,
1512:                MATOP_ICCFACTOR=38,
1513:                MATOP_AXPY=39,
1514:                MATOP_CREATE_SUBMATRICES=40,
1515:                MATOP_INCREASE_OVERLAP=41,
1516:                MATOP_GET_VALUES=42,
1517:                MATOP_COPY=43,
1518:                MATOP_GET_ROW_MAX=44,
1519:                MATOP_SCALE=45,
1520:                MATOP_SHIFT=46,
1521:                MATOP_DIAGONAL_SET=47,
1522:                MATOP_ZERO_ROWS_COLUMNS=48,
1523:                MATOP_SET_RANDOM=49,
1524:                MATOP_GET_ROW_IJ=50,
1525:                MATOP_RESTORE_ROW_IJ=51,
1526:                MATOP_GET_COLUMN_IJ=52,
1527:                MATOP_RESTORE_COLUMN_IJ=53,
1528:                MATOP_FDCOLORING_CREATE=54,
1529:                MATOP_COLORING_PATCH=55,
1530:                MATOP_SET_UNFACTORED=56,
1531:                MATOP_PERMUTE=57,
1532:                MATOP_SET_VALUES_BLOCKED=58,
1533:                MATOP_CREATE_SUBMATRIX=59,
1534:                MATOP_DESTROY=60,
1535:                MATOP_VIEW=61,
1536:                MATOP_CONVERT_FROM=62,
1537:                MATOP_MATMAT_MULT=63,
1538:                MATOP_MATMAT_MULT_SYMBOLIC=64,
1539:                MATOP_MATMAT_MULT_NUMERIC=65,
1540:                MATOP_SET_LOCAL_TO_GLOBAL_MAP=66,
1541:                MATOP_SET_VALUES_LOCAL=67,
1542:                MATOP_ZERO_ROWS_LOCAL=68,
1543:                MATOP_GET_ROW_MAX_ABS=69,
1544:                MATOP_GET_ROW_MIN_ABS=70,
1545:                MATOP_CONVERT=71,
1546:                MATOP_SET_COLORING=72,
1547:                /* MATOP_PLACEHOLDER_73=73, */
1548:                MATOP_SET_VALUES_ADIFOR=74,
1549:                MATOP_FD_COLORING_APPLY=75,
1550:                MATOP_SET_FROM_OPTIONS=76,
1551:                MATOP_MULT_CONSTRAINED=77,
1552:                MATOP_MULT_TRANSPOSE_CONSTRAIN=78,
1553:                MATOP_FIND_ZERO_DIAGONALS=79,
1554:                MATOP_MULT_MULTIPLE=80,
1555:                MATOP_SOLVE_MULTIPLE=81,
1556:                MATOP_GET_INERTIA=82,
1557:                MATOP_LOAD=83,
1558:                MATOP_IS_SYMMETRIC=84,
1559:                MATOP_IS_HERMITIAN=85,
1560:                MATOP_IS_STRUCTURALLY_SYMMETRIC=86,
1561:                MATOP_SET_VALUES_BLOCKEDLOCAL=87,
1562:                MATOP_CREATE_VECS=88,
1563:                MATOP_MAT_MULT=89,
1564:                MATOP_MAT_MULT_SYMBOLIC=90,
1565:                MATOP_MAT_MULT_NUMERIC=91,
1566:                MATOP_PTAP=92,
1567:                MATOP_PTAP_SYMBOLIC=93,
1568:                MATOP_PTAP_NUMERIC=94,
1569:                MATOP_MAT_TRANSPOSE_MULT=95,
1570:                MATOP_MAT_TRANSPOSE_MULT_SYMBO=96,
1571:                MATOP_MAT_TRANSPOSE_MULT_NUMER=97,
1572:                /* MATOP_PLACEHOLDER_98=98, */
1573:                /* MATOP_PLACEHOLDER_99=99, */
1574:                /* MATOP_PLACEHOLDER_100=100, */
1575:                /* MATOP_PLACEHOLDER_101=101, */
1576:                MATOP_CONJUGATE=102,
1577:                /* MATOP_PLACEHOLDER_103=103, */
1578:                MATOP_SET_VALUES_ROW=104,
1579:                MATOP_REAL_PART=105,
1580:                MATOP_IMAGINARY_PART=106,
1581:                MATOP_GET_ROW_UPPER_TRIANGULAR=107,
1582:                MATOP_RESTORE_ROW_UPPER_TRIANG=108,
1583:                MATOP_MAT_SOLVE=109,
1584:                MATOP_MAT_SOLVE_TRANSPOSE=110,
1585:                MATOP_GET_ROW_MIN=111,
1586:                MATOP_GET_COLUMN_VECTOR=112,
1587:                MATOP_MISSING_DIAGONAL=113,
1588:                MATOP_GET_SEQ_NONZERO_STRUCTUR=114,
1589:                MATOP_CREATE=115,
1590:                MATOP_GET_GHOSTS=116,
1591:                MATOP_GET_LOCAL_SUB_MATRIX=117,
1592:                MATOP_RESTORE_LOCALSUB_MATRIX=118,
1593:                MATOP_MULT_DIAGONAL_BLOCK=119,
1594:                MATOP_HERMITIAN_TRANSPOSE=120,
1595:                MATOP_MULT_HERMITIAN_TRANSPOSE=121,
1596:                MATOP_MULT_HERMITIAN_TRANS_ADD=122,
1597:                MATOP_GET_MULTI_PROC_BLOCK=123,
1598:                MATOP_FIND_NONZERO_ROWS=124,
1599:                MATOP_GET_COLUMN_NORMS=125,
1600:                MATOP_INVERT_BLOCK_DIAGONAL=126,
1601:                /* MATOP_PLACEHOLDER_127=127, */
1602:                MATOP_CREATE_SUB_MATRICES_MPI=128,
1603:                MATOP_SET_VALUES_BATCH=129,
1604:                MATOP_TRANSPOSE_MAT_MULT=130,
1605:                MATOP_TRANSPOSE_MAT_MULT_SYMBO=131,
1606:                MATOP_TRANSPOSE_MAT_MULT_NUMER=132,
1607:                MATOP_TRANSPOSE_COLORING_CREAT=133,
1608:                MATOP_TRANS_COLORING_APPLY_SPT=134,
1609:                MATOP_TRANS_COLORING_APPLY_DEN=135,
1610:                MATOP_RART=136,
1611:                MATOP_RART_SYMBOLIC=137,
1612:                MATOP_RART_NUMERIC=138,
1613:                MATOP_SET_BLOCK_SIZES=139,
1614:                MATOP_AYPX=140,
1615:                MATOP_RESIDUAL=141,
1616:                MATOP_FDCOLORING_SETUP=142,
1617:                MATOP_MPICONCATENATESEQ=144,
1618:                MATOP_DESTROYSUBMATRICES=145,
1619:                MATOP_TRANSPOSE_SOLVE=146,
1620:                MATOP_GET_VALUES_LOCAL=147
1621:              } MatOperation;
1622: PETSC_EXTERN PetscErrorCode MatSetOperation(Mat,MatOperation,void(*)(void));
1623: PETSC_EXTERN PetscErrorCode MatGetOperation(Mat,MatOperation,void(**)(void));
1624: PETSC_EXTERN PetscErrorCode MatHasOperation(Mat,MatOperation,PetscBool*);
1625: PETSC_EXTERN PetscErrorCode MatHasCongruentLayouts(Mat,PetscBool*);
1626: PETSC_EXTERN PetscErrorCode MatFreeIntermediateDataStructures(Mat);

1628: PETSC_EXTERN PetscErrorCode MatShellSetOperation(Mat,MatOperation,void(*)(void));
1629: PETSC_EXTERN PetscErrorCode MatShellGetOperation(Mat,MatOperation,void(**)(void));
1630: PETSC_EXTERN PetscErrorCode MatShellSetContext(Mat,void*);
1631: PETSC_EXTERN PetscErrorCode MatShellSetVecType(Mat,VecType);
1632: PETSC_EXTERN PetscErrorCode MatShellTestMult(Mat,PetscErrorCode (*)(void*,Vec,Vec),Vec,void*,PetscBool*);
1633: PETSC_EXTERN PetscErrorCode MatShellTestMultTranspose(Mat,PetscErrorCode (*)(void*,Vec,Vec),Vec,void*,PetscBool*);
1634: PETSC_EXTERN PetscErrorCode MatShellSetManageScalingShifts(Mat);

1636: /*
1637:    Codes for matrices stored on disk. By default they are
1638:    stored in a universal format. By changing the format with
1639:    PetscViewerPushFormat(viewer,PETSC_VIEWER_NATIVE); the matrices will
1640:    be stored in a way natural for the matrix, for example dense matrices
1641:    would be stored as dense. Matrices stored this way may only be
1642:    read into matrices of the same type.
1643: */
1644: #define MATRIX_BINARY_FORMAT_DENSE -1

1646: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetHashTableFactor(Mat,PetscReal);

1648: PETSC_EXTERN PetscErrorCode MatISSetLocalMatType(Mat,MatType);
1649: PETSC_EXTERN PetscErrorCode MatISSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1650: PETSC_EXTERN PetscErrorCode MatISStoreL2L(Mat,PetscBool);
1651: PETSC_EXTERN PetscErrorCode MatISFixLocalEmpty(Mat,PetscBool);
1652: PETSC_EXTERN PetscErrorCode MatISGetLocalMat(Mat,Mat*);
1653: PETSC_EXTERN PetscErrorCode MatISRestoreLocalMat(Mat,Mat*);
1654: PETSC_EXTERN PetscErrorCode MatISSetLocalMat(Mat,Mat);
1655: PETSC_EXTERN PETSC_DEPRECATED_FUNCTION("Use the MatConvert() interface (since version 3.10)") PetscErrorCode MatISGetMPIXAIJ(Mat,MatReuse,Mat*);

1657: /*S
1658:      MatNullSpace - Object that removes a null space from a vector, i.e.
1659:          orthogonalizes the vector to a subsapce

1661:    Level: advanced

1663:   Users manual sections:
1664: .   Section 4.19 Solving Singular Systems

1666: .seealso:  MatNullSpaceCreate()
1667: S*/
1668: typedef struct _p_MatNullSpace* MatNullSpace;

1670: PETSC_EXTERN PetscErrorCode MatNullSpaceCreate(MPI_Comm,PetscBool ,PetscInt,const Vec[],MatNullSpace*);
1671: PETSC_EXTERN PetscErrorCode MatNullSpaceSetFunction(MatNullSpace,PetscErrorCode (*)(MatNullSpace,Vec,void*),void*);
1672: PETSC_EXTERN PetscErrorCode MatNullSpaceDestroy(MatNullSpace*);
1673: PETSC_EXTERN PetscErrorCode MatNullSpaceRemove(MatNullSpace,Vec);
1674: PETSC_EXTERN PetscErrorCode MatGetNullSpace(Mat, MatNullSpace *);
1675: PETSC_EXTERN PetscErrorCode MatGetTransposeNullSpace(Mat, MatNullSpace *);
1676: PETSC_EXTERN PetscErrorCode MatSetTransposeNullSpace(Mat,MatNullSpace);
1677: PETSC_EXTERN PetscErrorCode MatSetNullSpace(Mat,MatNullSpace);
1678: PETSC_EXTERN PetscErrorCode MatSetNearNullSpace(Mat,MatNullSpace);
1679: PETSC_EXTERN PetscErrorCode MatGetNearNullSpace(Mat,MatNullSpace*);
1680: PETSC_EXTERN PetscErrorCode MatNullSpaceTest(MatNullSpace,Mat,PetscBool  *);
1681: PETSC_EXTERN PetscErrorCode MatNullSpaceView(MatNullSpace,PetscViewer);
1682: PETSC_EXTERN PetscErrorCode MatNullSpaceGetVecs(MatNullSpace,PetscBool*,PetscInt*,const Vec**);
1683: PETSC_EXTERN PetscErrorCode MatNullSpaceCreateRigidBody(Vec,MatNullSpace*);

1685: PETSC_EXTERN PetscErrorCode MatReorderingSeqSBAIJ(Mat,IS);
1686: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetHashTableFactor(Mat,PetscReal);
1687: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetColumnIndices(Mat,PetscInt *);
1688: PETSC_EXTERN PetscErrorCode MatSeqBAIJInvertBlockDiagonal(Mat);

1690: PETSC_EXTERN PetscErrorCode MatCreateMAIJ(Mat,PetscInt,Mat*);
1691: PETSC_EXTERN PetscErrorCode MatMAIJRedimension(Mat,PetscInt,Mat*);
1692: PETSC_EXTERN PetscErrorCode MatMAIJGetAIJ(Mat,Mat*);

1694: PETSC_EXTERN PetscErrorCode MatComputeOperator(Mat,MatType,Mat*);
1695: PETSC_EXTERN PetscErrorCode MatComputeOperatorTranspose(Mat,MatType,Mat*);

1697: PETSC_DEPRECATED_FUNCTION("Use MatComputeOperator() (since version 3.12)") PETSC_STATIC_INLINE PetscErrorCode MatComputeExplicitOperator(Mat A,Mat* B) { return MatComputeOperator(A,NULL,B); }
1698: PETSC_DEPRECATED_FUNCTION("Use MatComputeOperatorTranspose() (since version 3.12)") PETSC_STATIC_INLINE PetscErrorCode MatComputeExplicitOperatorTranspose(Mat A,Mat* B) { return MatComputeOperatorTranspose(A,NULL,B); }

1700: PETSC_EXTERN PetscErrorCode MatCreateKAIJ(Mat,PetscInt,PetscInt,const PetscScalar[],const PetscScalar[],Mat*);
1701: PETSC_EXTERN PetscErrorCode MatKAIJGetAIJ(Mat,Mat*);
1702: PETSC_EXTERN PetscErrorCode MatKAIJGetS(Mat,PetscInt*,PetscInt*,PetscScalar**);
1703: PETSC_EXTERN PetscErrorCode MatKAIJGetSRead(Mat,PetscInt*,PetscInt*,const PetscScalar**);
1704: PETSC_EXTERN PetscErrorCode MatKAIJRestoreS(Mat,PetscScalar**);
1705: PETSC_EXTERN PetscErrorCode MatKAIJRestoreSRead(Mat,const PetscScalar**);
1706: PETSC_EXTERN PetscErrorCode MatKAIJGetT(Mat,PetscInt*,PetscInt*,PetscScalar**);
1707: PETSC_EXTERN PetscErrorCode MatKAIJGetTRead(Mat,PetscInt*,PetscInt*,const PetscScalar**);
1708: PETSC_EXTERN PetscErrorCode MatKAIJRestoreT(Mat,PetscScalar**);
1709: PETSC_EXTERN PetscErrorCode MatKAIJRestoreTRead(Mat,const PetscScalar**);
1710: PETSC_EXTERN PetscErrorCode MatKAIJSetAIJ(Mat,Mat);
1711: PETSC_EXTERN PetscErrorCode MatKAIJSetS(Mat,PetscInt,PetscInt,const PetscScalar[]);
1712: PETSC_EXTERN PetscErrorCode MatKAIJSetT(Mat,PetscInt,PetscInt,const PetscScalar[]);
1713: PETSC_EXTERN PetscErrorCode MatKAIJGetScaledIdentity(Mat,PetscBool*);

1715: PETSC_EXTERN PetscErrorCode MatDiagonalScaleLocal(Mat,Vec);

1717: PETSC_EXTERN PetscErrorCode MatCreateMFFD(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,Mat*);
1718: PETSC_EXTERN PetscErrorCode MatMFFDSetBase(Mat,Vec,Vec);
1719: PETSC_EXTERN PetscErrorCode MatMFFDSetFunction(Mat,PetscErrorCode(*)(void*,Vec,Vec),void*);
1720: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioni(Mat,PetscErrorCode (*)(void*,PetscInt,Vec,PetscScalar*));
1721: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioniBase(Mat,PetscErrorCode (*)(void*,Vec));
1722: PETSC_EXTERN PetscErrorCode MatMFFDSetHHistory(Mat,PetscScalar[],PetscInt);
1723: PETSC_EXTERN PetscErrorCode MatMFFDResetHHistory(Mat);
1724: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctionError(Mat,PetscReal);
1725: PETSC_EXTERN PetscErrorCode MatMFFDSetPeriod(Mat,PetscInt);
1726: PETSC_EXTERN PetscErrorCode MatMFFDGetH(Mat,PetscScalar *);
1727: PETSC_EXTERN PetscErrorCode MatMFFDSetOptionsPrefix(Mat,const char[]);
1728: PETSC_EXTERN PetscErrorCode MatMFFDCheckPositivity(void*,Vec,Vec,PetscScalar*);
1729: PETSC_EXTERN PetscErrorCode MatMFFDSetCheckh(Mat,PetscErrorCode (*)(void*,Vec,Vec,PetscScalar*),void*);

1731: /*S
1732:     MatMFFD - A data structured used to manage the computation of the h differencing parameter for matrix-free
1733:               Jacobian vector products

1735:     Notes:
1736:     MATMFFD is a specific MatType which uses the MatMFFD data structure

1738:            MatMFFD*() methods actually take the Mat as their first argument. Not a MatMFFD data structure

1740:     Level: developer

1742: .seealso: MATMFFD, MatCreateMFFD(), MatMFFDSetFuction(), MatMFFDSetType(), MatMFFDRegister()
1743: S*/
1744: typedef struct _p_MatMFFD* MatMFFD;

1746: /*J
1747:     MatMFFDType - algorithm used to compute the h used in computing matrix-vector products via differencing of the function

1749:    Level: beginner

1751: .seealso: MatMFFDSetType(), MatMFFDRegister()
1752: J*/
1753: typedef const char* MatMFFDType;
1754: #define MATMFFD_DS  "ds"
1755: #define MATMFFD_WP  "wp"

1757: PETSC_EXTERN PetscErrorCode MatMFFDSetType(Mat,MatMFFDType);
1758: PETSC_EXTERN PetscErrorCode MatMFFDRegister(const char[],PetscErrorCode (*)(MatMFFD));

1760: PETSC_EXTERN PetscErrorCode MatMFFDDSSetUmin(Mat,PetscReal);
1761: PETSC_EXTERN PetscErrorCode MatMFFDWPSetComputeNormU(Mat,PetscBool );

1763: PETSC_EXTERN PetscErrorCode MatFDColoringSetType(MatFDColoring,MatMFFDType);

1765: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutMatrix(PetscViewer, PetscInt, PetscInt, PetscReal *);
1766: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutCSRMatrix(PetscViewer, PetscInt, PetscInt, PetscInt *, PetscInt *, PetscReal *);

1768: /*
1769:    PETSc interface to MUMPS
1770: */
1771: #ifdef PETSC_HAVE_MUMPS
1772: PETSC_EXTERN PetscErrorCode MatMumpsSetIcntl(Mat,PetscInt,PetscInt);
1773: PETSC_EXTERN PetscErrorCode MatMumpsGetIcntl(Mat,PetscInt,PetscInt*);
1774: PETSC_EXTERN PetscErrorCode MatMumpsSetCntl(Mat,PetscInt,PetscReal);
1775: PETSC_EXTERN PetscErrorCode MatMumpsGetCntl(Mat,PetscInt,PetscReal*);

1777: PETSC_EXTERN PetscErrorCode MatMumpsGetInfo(Mat,PetscInt,PetscInt*);
1778: PETSC_EXTERN PetscErrorCode MatMumpsGetInfog(Mat,PetscInt,PetscInt*);
1779: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfo(Mat,PetscInt,PetscReal*);
1780: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfog(Mat,PetscInt,PetscReal*);
1781: PETSC_EXTERN PetscErrorCode MatMumpsGetInverse(Mat,Mat);
1782: PETSC_EXTERN PetscErrorCode MatMumpsGetInverseTranspose(Mat,Mat);
1783: #endif

1785: /*
1786:    PETSc interface to Mkl_Pardiso
1787: */
1788: #ifdef PETSC_HAVE_MKL_PARDISO
1789: PETSC_EXTERN PetscErrorCode MatMkl_PardisoSetCntl(Mat,PetscInt,PetscInt);
1790: #endif

1792: /*
1793:    PETSc interface to Mkl_CPardiso
1794: */
1795: #ifdef PETSC_HAVE_MKL_CPARDISO
1796: PETSC_EXTERN PetscErrorCode MatMkl_CPardisoSetCntl(Mat,PetscInt,PetscInt);
1797: #endif

1799: /*
1800:    PETSc interface to SUPERLU
1801: */
1802: #ifdef PETSC_HAVE_SUPERLU
1803: PETSC_EXTERN PetscErrorCode MatSuperluSetILUDropTol(Mat,PetscReal);
1804: #endif

1806: /*
1807:    PETSc interface to SUPERLU_DIST
1808: */
1809: #ifdef PETSC_HAVE_SUPERLU_DIST
1810: PETSC_EXTERN PetscErrorCode MatSuperluDistGetDiagU(Mat,PetscScalar*);
1811: #endif

1813: /*
1814:    PETSc interface to STRUMPACK
1815: */
1816: #ifdef PETSC_HAVE_STRUMPACK
1817: /*E
1818:     MatSTRUMPACKReordering - sparsity reducing ordering to be used in STRUMPACK

1820:     Level: intermediate
1821: E*/
1822: typedef enum {MAT_STRUMPACK_NATURAL=0,
1823:               MAT_STRUMPACK_METIS=1,
1824:               MAT_STRUMPACK_PARMETIS=2,
1825:               MAT_STRUMPACK_SCOTCH=3,
1826:               MAT_STRUMPACK_PTSCOTCH=4,
1827:               MAT_STRUMPACK_RCM=5} MatSTRUMPACKReordering;
1828: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetReordering(Mat,MatSTRUMPACKReordering);
1829: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetColPerm(Mat,PetscBool);
1830: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSRelTol(Mat,PetscReal);
1831: PETSC_DEPRECATED_FUNCTION("Use MatSTRUMPACKSetHSSRelTol() (since version 3.9)") PETSC_STATIC_INLINE PetscErrorCode MatSTRUMPACKSetHSSRelCompTol(Mat mat,PetscReal rtol) {return MatSTRUMPACKSetHSSRelTol(mat,rtol);}
1832: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSAbsTol(Mat,PetscReal);
1833: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSMinSepSize(Mat,PetscInt);
1834: PETSC_DEPRECATED_FUNCTION("Use MatSTRUMPACKSetHSSMinSepSize() (since version 3.9)") PETSC_STATIC_INLINE PetscErrorCode MatSTRUMPACKSetHSSMinSize(Mat mat,PetscInt hssminsize) {return MatSTRUMPACKSetHSSMinSepSize(mat,hssminsize);}
1835: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSMaxRank(Mat,PetscInt);
1836: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSLeafSize(Mat,PetscInt);
1837: #endif


1840: PETSC_EXTERN PetscErrorCode MatBindToCPU(Mat,PetscBool);
1841: PETSC_DEPRECATED_FUNCTION("Use MatBindToCPU (since v3.13)") PETSC_STATIC_INLINE PetscErrorCode MatPinToCPU(Mat A,PetscBool flg) {return MatBindToCPU(A,flg);}

1843: #ifdef PETSC_HAVE_CUDA
1844: /*E
1845:     MatCUSPARSEStorageFormat - indicates the storage format for CUSPARSE (GPU)
1846:     matrices.

1848:     Not Collective

1850: +   MAT_CUSPARSE_CSR - Compressed Sparse Row
1851: .   MAT_CUSPARSE_ELL - Ellpack (requires CUDA 4.2 or later).
1852: -   MAT_CUSPARSE_HYB - Hybrid, a combination of Ellpack and Coordinate format (requires CUDA 4.2 or later).

1854:     Level: intermediate

1856:    Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h

1858: .seealso: MatCUSPARSESetFormat(), MatCUSPARSEFormatOperation
1859: E*/

1861: typedef enum {MAT_CUSPARSE_CSR, MAT_CUSPARSE_ELL, MAT_CUSPARSE_HYB} MatCUSPARSEStorageFormat;

1863: /* these will be strings associated with enumerated type defined above */
1864: PETSC_EXTERN const char *const MatCUSPARSEStorageFormats[];

1866: /*E
1867:     MatCUSPARSEFormatOperation - indicates the operation of CUSPARSE (GPU)
1868:     matrices whose operation should use a particular storage format.

1870:     Not Collective

1872: +   MAT_CUSPARSE_MULT_DIAG - sets the storage format for the diagonal matrix in the parallel MatMult
1873: .   MAT_CUSPARSE_MULT_OFFDIAG - sets the storage format for the offdiagonal matrix in the parallel MatMult
1874: .   MAT_CUSPARSE_MULT - sets the storage format for the entire matrix in the serial (single GPU) MatMult
1875: -   MAT_CUSPARSE_ALL - sets the storage format for all CUSPARSE (GPU) matrices

1877:     Level: intermediate

1879: .seealso: MatCUSPARSESetFormat(), MatCUSPARSEStorageFormat
1880: E*/
1881: typedef enum {MAT_CUSPARSE_MULT_DIAG, MAT_CUSPARSE_MULT_OFFDIAG, MAT_CUSPARSE_MULT, MAT_CUSPARSE_ALL} MatCUSPARSEFormatOperation;

1883: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCUSPARSE(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
1884: PETSC_EXTERN PetscErrorCode MatCreateAIJCUSPARSE(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
1885: PETSC_EXTERN PetscErrorCode MatCUSPARSESetFormat(Mat,MatCUSPARSEFormatOperation,MatCUSPARSEStorageFormat);
1886: #endif

1888: #if defined(PETSC_HAVE_VIENNACL)
1889: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJViennaCL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
1890: PETSC_EXTERN PetscErrorCode MatCreateAIJViennaCL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
1891: #endif

1893: /*
1894:    PETSc interface to FFTW
1895: */
1896: #if defined(PETSC_HAVE_FFTW)
1897: PETSC_EXTERN PetscErrorCode VecScatterPetscToFFTW(Mat,Vec,Vec);
1898: PETSC_EXTERN PetscErrorCode VecScatterFFTWToPetsc(Mat,Vec,Vec);
1899: PETSC_EXTERN PetscErrorCode MatCreateVecsFFTW(Mat,Vec*,Vec*,Vec*);
1900: #endif

1902: PETSC_EXTERN PetscErrorCode MatCreateNest(MPI_Comm,PetscInt,const IS[],PetscInt,const IS[],const Mat[],Mat*);
1903: PETSC_EXTERN PetscErrorCode MatNestGetSize(Mat,PetscInt*,PetscInt*);
1904: PETSC_EXTERN PetscErrorCode MatNestGetISs(Mat,IS[],IS[]);
1905: PETSC_EXTERN PetscErrorCode MatNestGetLocalISs(Mat,IS[],IS[]);
1906: PETSC_EXTERN PetscErrorCode MatNestGetSubMats(Mat,PetscInt*,PetscInt*,Mat***);
1907: PETSC_EXTERN PetscErrorCode MatNestGetSubMat(Mat,PetscInt,PetscInt,Mat*);
1908: PETSC_EXTERN PetscErrorCode MatNestSetVecType(Mat,VecType);
1909: PETSC_EXTERN PetscErrorCode MatNestSetSubMats(Mat,PetscInt,const IS[],PetscInt,const IS[],const Mat[]);
1910: PETSC_EXTERN PetscErrorCode MatNestSetSubMat(Mat,PetscInt,PetscInt,Mat);

1912: PETSC_EXTERN PetscErrorCode MatChop(Mat,PetscReal);
1913: PETSC_EXTERN PetscErrorCode MatComputeBandwidth(Mat,PetscReal,PetscInt*);

1915: PETSC_EXTERN PetscErrorCode MatSubdomainsCreateCoalesce(Mat,PetscInt,PetscInt*,IS**);

1917: PETSC_EXTERN PetscErrorCode MatPreallocatorPreallocate(Mat,PetscBool,Mat);

1919: PETSC_INTERN PetscErrorCode MatHeaderMerge(Mat,Mat*);
1920: PETSC_EXTERN PetscErrorCode MatHeaderReplace(Mat,Mat*);

1922: #endif