Actual source code: petscmat.h

petsc-master 2018-11-21
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  1: /*
  2:      Include file for the matrix component of PETSc
  3: */
  4: #ifndef __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:   Concepts: matrix; linear operator

 16: .seealso:  MatCreate(), MatType, MatSetType(), MatDestroy()
 17: S*/
 18: typedef struct _p_Mat*           Mat;

 20: /*J
 21:     MatType - String with the name of a PETSc matrix type

 23:    Level: beginner

 25: .seealso: MatSetType(), Mat, MatSolverType, MatRegister()
 26: J*/
 27: typedef const char* MatType;
 28: #define MATSAME            "same"
 29: #define MATMAIJ            "maij"
 30: #define MATSEQMAIJ         "seqmaij"
 31: #define MATMPIMAIJ         "mpimaij"
 32: #define MATIS              "is"
 33: #define MATAIJ             "aij"
 34: #define MATSEQAIJ          "seqaij"
 35: #define MATMPIAIJ          "mpiaij"
 36: #define MATAIJCRL          "aijcrl"
 37: #define MATSEQAIJCRL       "seqaijcrl"
 38: #define MATMPIAIJCRL       "mpiaijcrl"
 39: #define MATAIJCUSPARSE     "aijcusparse"
 40: #define MATSEQAIJCUSPARSE  "seqaijcusparse"
 41: #define MATMPIAIJCUSPARSE  "mpiaijcusparse"
 42: #define MATAIJVIENNACL     "aijviennacl"
 43: #define MATSEQAIJVIENNACL  "seqaijviennacl"
 44: #define MATMPIAIJVIENNACL  "mpiaijviennacl"
 45: #define MATAIJPERM         "aijperm"
 46: #define MATSEQAIJPERM      "seqaijperm"
 47: #define MATMPIAIJPERM      "mpiaijperm"
 48: #define MATAIJSELL         "aijsell"
 49: #define MATSEQAIJSELL      "seqaijsell"
 50: #define MATMPIAIJSELL      "mpiaijsell"
 51: #define MATAIJMKL          "aijmkl"
 52: #define MATSEQAIJMKL       "seqaijmkl"
 53: #define MATMPIAIJMKL       "mpiaijmkl"
 54: #define MATBAIJMKL         "baijmkl"
 55: #define MATSEQBAIJMKL      "seqbaijmkl"
 56: #define MATMPIBAIJMKL      "mpibaijmkl"
 57: #define MATSHELL           "shell"
 58: #define MATDENSE           "dense"
 59: #define MATSEQDENSE        "seqdense"
 60: #define MATMPIDENSE        "mpidense"
 61: #define MATELEMENTAL       "elemental"
 62: #define MATBAIJ            "baij"
 63: #define MATSEQBAIJ         "seqbaij"
 64: #define MATMPIBAIJ         "mpibaij"
 65: #define MATMPIADJ          "mpiadj"
 66: #define MATSBAIJ           "sbaij"
 67: #define MATSEQSBAIJ        "seqsbaij"
 68: #define MATMPISBAIJ        "mpisbaij"
 69: #define MATDAAD            "daad"
 70: #define MATMFFD            "mffd"
 71: #define MATNORMAL          "normal"
 72: #define MATNORMALHERMITIAN "normalh"
 73: #define MATLRC             "lrc"
 74: #define MATSCATTER         "scatter"
 75: #define MATBLOCKMAT        "blockmat"
 76: #define MATCOMPOSITE       "composite"
 77: #define MATFFT             "fft"
 78: #define MATFFTW            "fftw"
 79: #define MATSEQCUFFT        "seqcufft"
 80: #define MATTRANSPOSEMAT    "transpose"
 81: #define MATSCHURCOMPLEMENT "schurcomplement"
 82: #define MATPYTHON          "python"
 83: #define MATHYPRE           "hypre"
 84: #define MATHYPRESTRUCT     "hyprestruct"
 85: #define MATHYPRESSTRUCT    "hypresstruct"
 86: #define MATSUBMATRIX       "submatrix"
 87: #define MATLOCALREF        "localref"
 88: #define MATNEST            "nest"
 89: #define MATPREALLOCATOR    "preallocator"
 90: #define MATSELL            "sell"
 91: #define MATSEQSELL         "seqsell"
 92: #define MATMPISELL         "mpisell"
 93: #define MATDUMMY           "dummy"
 94: #define MATLMVM            "lmvm"
 95: #define MATLMVMDFP         "lmvmdfp"
 96: #define MATLMVMBFGS        "lmvmbfgs"
 97: #define MATLMVMSR1         "lmvmsr1"
 98: #define MATLMVMBRDN        "lmvmbrdn"
 99: #define MATLMVMBADBRDN     "lmvmbadbrdn"
100: #define MATLMVMSYMBRDN     "lmvmsymbrdn"
101: #define MATLMVMSYMBADBRDN  "lmvmsymbadbrdn"
102: #define MATLMVMDIAGBRDN    "lmvmdiagbrdn"

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

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

109:    Level: beginner

111: .seealso: MatGetFactor(), Mat, MatSetType(), MatType
112: J*/
113: typedef const char* MatSolverType;
114: #define MATSOLVERSUPERLU          "superlu"
115: #define MATSOLVERSUPERLU_DIST     "superlu_dist"
116: #define MATSOLVERSTRUMPACK        "strumpack"
117: #define MATSOLVERUMFPACK          "umfpack"
118: #define MATSOLVERCHOLMOD          "cholmod"
119: #define MATSOLVERKLU              "klu"
120: #define MATSOLVERSPARSEELEMENTAL  "sparseelemental"
121: #define MATSOLVERELEMENTAL        "elemental"
122: #define MATSOLVERESSL             "essl"
123: #define MATSOLVERLUSOL            "lusol"
124: #define MATSOLVERMUMPS            "mumps"
125: #define MATSOLVERMKL_PARDISO      "mkl_pardiso"
126: #define MATSOLVERMKL_CPARDISO     "mkl_cpardiso"
127: #define MATSOLVERPASTIX           "pastix"
128: #define MATSOLVERMATLAB           "matlab"
129: #define MATSOLVERPETSC            "petsc"
130: #define MATSOLVERBAS              "bas"
131: #define MATSOLVERCUSPARSE         "cusparse"

133: /*E
134:     MatFactorType - indicates what type of factorization is requested

136:     Level: beginner

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

140: .seealso: MatSolverType, MatGetFactor()
141: E*/
142: typedef enum {MAT_FACTOR_NONE, MAT_FACTOR_LU, MAT_FACTOR_CHOLESKY, MAT_FACTOR_ILU, MAT_FACTOR_ICC,MAT_FACTOR_ILUDT} MatFactorType;
143: PETSC_EXTERN const char *const MatFactorTypes[];

145: PETSC_EXTERN PetscErrorCode MatGetFactor(Mat,MatSolverType,MatFactorType,Mat*);
146: PETSC_EXTERN PetscErrorCode MatGetFactorAvailable(Mat,MatSolverType,MatFactorType,PetscBool *);
147: PETSC_EXTERN PetscErrorCode MatFactorGetSolverType(Mat,MatSolverType*);
148: PETSC_EXTERN PetscErrorCode MatGetFactorType(Mat,MatFactorType*);
149: PETSC_EXTERN PetscErrorCode MatSetFactorType(Mat,MatFactorType);
150: PETSC_EXTERN PetscErrorCode MatSolverTypeRegister(MatSolverType,MatType,MatFactorType,PetscErrorCode(*)(Mat,MatFactorType,Mat*));
151: PETSC_EXTERN PetscErrorCode MatSolverTypeGet(MatSolverType,MatType,MatFactorType,PetscBool*,PetscBool*,PetscErrorCode (**)(Mat,MatFactorType,Mat*));
152: typedef MatSolverType MatSolverPackage PETSC_DEPRECATED("Use MatSolverType");
153: PETSC_DEPRECATED("Use MatSolverTypeRegister()") PETSC_STATIC_INLINE PetscErrorCode MatSolverPackageRegister(MatSolverType stype,MatType mtype,MatFactorType ftype,PetscErrorCode(*f)(Mat,MatFactorType,Mat*))
154: { return MatSolverTypeRegister(stype,mtype,ftype,f); }
155: PETSC_DEPRECATED("Use MatSolverTypeGet()") PETSC_STATIC_INLINE PetscErrorCode MatSolverPackageGet(MatSolverType stype,MatType mtype,MatFactorType ftype,PetscBool *foundmtype,PetscBool *foundstype,PetscErrorCode(**f)(Mat,MatFactorType,Mat*))
156: { return MatSolverTypeGet(stype,mtype,ftype,foundmtype,foundstype,f); }

158: /* Logging support */
159: #define    MAT_FILE_CLASSID 1211216    /* used to indicate matrices in binary files */
160: PETSC_EXTERN PetscClassId MAT_CLASSID;
161: PETSC_EXTERN PetscClassId MAT_COLORING_CLASSID;
162: PETSC_EXTERN PetscClassId MAT_FDCOLORING_CLASSID;
163: PETSC_EXTERN PetscClassId MAT_TRANSPOSECOLORING_CLASSID;
164: PETSC_EXTERN PetscClassId MAT_PARTITIONING_CLASSID;
165: PETSC_EXTERN PetscClassId MAT_COARSEN_CLASSID;
166: PETSC_EXTERN PetscClassId MAT_NULLSPACE_CLASSID;
167: PETSC_EXTERN PetscClassId MATMFFD_CLASSID;

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

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

178:     Level: beginner

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

182: .seealso: MatCreateSubMatrices(), MatCreateSubMatrix(), MatDestroyMatrices(), MatConvert()
183: E*/
184: typedef enum {MAT_INITIAL_MATRIX,MAT_REUSE_MATRIX,MAT_IGNORE_MATRIX,MAT_INPLACE_MATRIX} MatReuse;

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

190:     Level: beginner

192: .seealso: MatGetSeqNonzerostructure()
193: E*/
194: typedef enum {MAT_DO_NOT_GET_VALUES,MAT_GET_VALUES} MatCreateSubMatrixOption;

196: PETSC_EXTERN PetscErrorCode MatInitializePackage(void);

198: PETSC_EXTERN PetscErrorCode MatCreate(MPI_Comm,Mat*);
199: PETSC_EXTERN PetscErrorCode MatSetSizes(Mat,PetscInt,PetscInt,PetscInt,PetscInt);
200: PETSC_EXTERN PetscErrorCode MatSetType(Mat,MatType);
201: PETSC_EXTERN PetscErrorCode MatSetFromOptions(Mat);
202: PETSC_STATIC_INLINE PetscErrorCode MatViewFromOptions(Mat A,PetscObject obj,const char name[]) {return PetscObjectViewFromOptions((PetscObject)A,obj,name);}
203: PETSC_EXTERN PetscErrorCode MatRegister(const char[],PetscErrorCode(*)(Mat));
204: PETSC_EXTERN PetscErrorCode MatRegisterRootName(const char[],const char[],const char[]);
205: PETSC_EXTERN PetscErrorCode MatSetOptionsPrefix(Mat,const char[]);
206: PETSC_EXTERN PetscErrorCode MatAppendOptionsPrefix(Mat,const char[]);
207: PETSC_EXTERN PetscErrorCode MatGetOptionsPrefix(Mat,const char*[]);
208: PETSC_EXTERN PetscErrorCode MatSetErrorIfFailure(Mat,PetscBool);

210: PETSC_EXTERN PetscFunctionList MatList;
211: PETSC_EXTERN PetscFunctionList MatColoringList;
212: PETSC_EXTERN PetscFunctionList MatPartitioningList;

214: /*E
215:     MatStructure - Indicates if two matrices have the same nonzero structure

217:     Level: beginner

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

221: .seealso: MatCopy(), MatAXPY()
222: E*/
223: typedef enum {DIFFERENT_NONZERO_PATTERN,SUBSET_NONZERO_PATTERN,SAME_NONZERO_PATTERN} MatStructure;

225: #if defined PETSC_HAVE_MKL_SPARSE
226: PETSC_EXTERN PetscErrorCode MatCreateBAIJMKL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
227: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJMKL(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt nz,const PetscInt nnz[],Mat *A);
228: #endif

230: PETSC_EXTERN PetscErrorCode MatCreateSeqSELL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
231: PETSC_EXTERN PetscErrorCode MatCreateSELL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
232: PETSC_EXTERN PetscErrorCode MatSeqSELLSetPreallocation(Mat,PetscInt,const PetscInt[]);
233: PETSC_EXTERN PetscErrorCode MatMPISELLSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);

235: PETSC_EXTERN PetscErrorCode MatCreateSeqDense(MPI_Comm,PetscInt,PetscInt,PetscScalar[],Mat*);
236: PETSC_EXTERN PetscErrorCode MatCreateDense(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscScalar[],Mat*);
237: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
238: PETSC_EXTERN PetscErrorCode MatCreateAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
239: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat *);
240: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSplitArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],PetscInt[],PetscInt[],PetscScalar[],Mat*);
241: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSeqAIJ(MPI_Comm,Mat,Mat,const PetscInt[],Mat*);

243: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
244: PETSC_EXTERN PetscErrorCode MatCreateBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
245: PETSC_EXTERN PetscErrorCode MatCreateMPIBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat*);

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

250: PETSC_EXTERN PetscErrorCode MatCreateSBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
251: PETSC_EXTERN PetscErrorCode MatCreateMPISBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat *);
252: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
253: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
254: PETSC_EXTERN PetscErrorCode MatXAIJSetPreallocation(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscInt[],const PetscInt[]);

256: PETSC_EXTERN PetscErrorCode MatCreateShell(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,void *,Mat*);
257: PETSC_EXTERN PetscErrorCode MatCreateNormal(Mat,Mat*);
258: PETSC_EXTERN PetscErrorCode MatCreateNormalHermitian(Mat,Mat*);
259: PETSC_EXTERN PetscErrorCode MatCreateLRC(Mat,Mat,Vec,Mat,Mat*);
260: PETSC_EXTERN PetscErrorCode MatLRCGetMats(Mat,Mat*,Mat*,Vec*,Mat*);
261: PETSC_EXTERN PetscErrorCode MatCreateIS(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,ISLocalToGlobalMapping,ISLocalToGlobalMapping,Mat*);
262: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCRL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
263: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJCRL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);

265: PETSC_EXTERN PetscErrorCode MatCreateScatter(MPI_Comm,VecScatter,Mat*);
266: PETSC_EXTERN PetscErrorCode MatScatterSetVecScatter(Mat,VecScatter);
267: PETSC_EXTERN PetscErrorCode MatScatterGetVecScatter(Mat,VecScatter*);
268: PETSC_EXTERN PetscErrorCode MatCreateBlockMat(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt*,Mat*);
269: PETSC_EXTERN PetscErrorCode MatCompositeAddMat(Mat,Mat);
270: PETSC_EXTERN PetscErrorCode MatCompositeMerge(Mat);
271: PETSC_EXTERN PetscErrorCode MatCreateComposite(MPI_Comm,PetscInt,const Mat*,Mat*);
272: typedef enum {MAT_COMPOSITE_ADDITIVE,MAT_COMPOSITE_MULTIPLICATIVE} MatCompositeType;
273: PETSC_EXTERN PetscErrorCode MatCompositeSetType(Mat,MatCompositeType);

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

278: PETSC_EXTERN PetscErrorCode MatCreateTranspose(Mat,Mat*);
279: PETSC_EXTERN PetscErrorCode MatTransposeGetMat(Mat,Mat*);
280: PETSC_EXTERN PetscErrorCode MatCreateHermitianTranspose(Mat,Mat*);
281: PETSC_EXTERN PetscErrorCode MatHermitianTransposeGetMat(Mat,Mat*);
282: PETSC_EXTERN PetscErrorCode MatCreateSubMatrixVirtual(Mat,IS,IS,Mat*);
283: PETSC_EXTERN PetscErrorCode MatSubMatrixVirtualUpdate(Mat,Mat,IS,IS);
284: PETSC_EXTERN PetscErrorCode MatCreateLocalRef(Mat,IS,IS,Mat*);

286: #if defined(PETSC_HAVE_HYPRE)
287: PETSC_EXTERN PetscErrorCode MatHYPRESetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
288: #endif

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

292: PETSC_EXTERN PetscErrorCode MatResetPreallocation(Mat);
293: PETSC_EXTERN PetscErrorCode MatSetUp(Mat);
294: PETSC_EXTERN PetscErrorCode MatDestroy(Mat*);
295: PETSC_EXTERN PetscErrorCode MatGetNonzeroState(Mat,PetscObjectState*);

297: PETSC_EXTERN PetscErrorCode MatConjugate(Mat);
298: PETSC_EXTERN PetscErrorCode MatRealPart(Mat);
299: PETSC_EXTERN PetscErrorCode MatImaginaryPart(Mat);
300: PETSC_EXTERN PetscErrorCode MatGetDiagonalBlock(Mat,Mat*);
301: PETSC_EXTERN PetscErrorCode MatGetTrace(Mat,PetscScalar*);
302: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonal(Mat,const PetscScalar **);
303: PETSC_EXTERN PetscErrorCode MatInvertVariableBlockDiagonal(Mat,PetscInt,const PetscInt*,PetscScalar*);
304: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonalMat(Mat,Mat);

306: /* ------------------------------------------------------------*/
307: PETSC_EXTERN PetscErrorCode MatSetValues(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
308: PETSC_EXTERN PetscErrorCode MatSetValuesBlocked(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
309: PETSC_EXTERN PetscErrorCode MatSetValuesRow(Mat,PetscInt,const PetscScalar[]);
310: PETSC_EXTERN PetscErrorCode MatSetValuesRowLocal(Mat,PetscInt,const PetscScalar[]);
311: PETSC_EXTERN PetscErrorCode MatSetValuesBatch(Mat,PetscInt,PetscInt,PetscInt[],const PetscScalar[]);
312: PETSC_EXTERN PetscErrorCode MatSetRandom(Mat,PetscRandom);

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

318:    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).
319:    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.

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

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

325:    Level: beginner

327:   Concepts: matrix; linear operator

329: .seealso:  MatSetValuesStencil(), MatSetStencil(), MatSetValuesBlockedStencil(), DMDAVecGetArray(), DMDAVecGetArrayF90()
330: S*/
331: typedef struct {
332:   PetscInt k,j,i,c;
333: } MatStencil;

335: PETSC_EXTERN PetscErrorCode MatSetValuesStencil(Mat,PetscInt,const MatStencil[],PetscInt,const MatStencil[],const PetscScalar[],InsertMode);
336: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedStencil(Mat,PetscInt,const MatStencil[],PetscInt,const MatStencil[],const PetscScalar[],InsertMode);
337: PETSC_EXTERN PetscErrorCode MatSetStencil(Mat,PetscInt,const PetscInt[],const PetscInt[],PetscInt);

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

343:     Level: beginner

345: .seealso: MatAssemblyBegin(), MatAssemblyEnd()
346: E*/
347: typedef enum {MAT_FLUSH_ASSEMBLY=1,MAT_FINAL_ASSEMBLY=0} MatAssemblyType;
348: PETSC_EXTERN PetscErrorCode MatAssemblyBegin(Mat,MatAssemblyType);
349: PETSC_EXTERN PetscErrorCode MatAssemblyEnd(Mat,MatAssemblyType);
350: PETSC_EXTERN PetscErrorCode MatAssembled(Mat,PetscBool *);



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

357:     Level: beginner

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

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

365: .seealso: MatSetOption()
366: E*/
367: typedef enum {MAT_OPTION_MIN = -3,
368:               MAT_UNUSED_NONZERO_LOCATION_ERR = -2,
369:               MAT_ROW_ORIENTED = -1,
370:               MAT_SYMMETRIC = 1,
371:               MAT_STRUCTURALLY_SYMMETRIC = 2,
372:               MAT_NEW_DIAGONALS = 3,
373:               MAT_IGNORE_OFF_PROC_ENTRIES = 4,
374:               MAT_USE_HASH_TABLE = 5,
375:               MAT_KEEP_NONZERO_PATTERN = 6,
376:               MAT_IGNORE_ZERO_ENTRIES = 7,
377:               MAT_USE_INODES = 8,
378:               MAT_HERMITIAN = 9,
379:               MAT_SYMMETRY_ETERNAL = 10,
380:               MAT_NEW_NONZERO_LOCATION_ERR = 11,
381:               MAT_IGNORE_LOWER_TRIANGULAR = 12,
382:               MAT_ERROR_LOWER_TRIANGULAR = 13,
383:               MAT_GETROW_UPPERTRIANGULAR = 14,
384:               MAT_SPD = 15,
385:               MAT_NO_OFF_PROC_ZERO_ROWS = 16,
386:               MAT_NO_OFF_PROC_ENTRIES = 17,
387:               MAT_NEW_NONZERO_LOCATIONS = 18,
388:               MAT_NEW_NONZERO_ALLOCATION_ERR = 19,
389:               MAT_SUBSET_OFF_PROC_ENTRIES = 20,
390:               MAT_SUBMAT_SINGLEIS = 21,
391:               MAT_STRUCTURE_ONLY = 22,
392:               MAT_OPTION_MAX = 23} MatOption;

394: PETSC_EXTERN const char *const *MatOptions;
395: PETSC_EXTERN PetscErrorCode MatSetOption(Mat,MatOption,PetscBool);
396: PETSC_EXTERN PetscErrorCode MatGetOption(Mat,MatOption,PetscBool*);
397: PETSC_EXTERN PetscErrorCode MatGetType(Mat,MatType*);

399: PETSC_EXTERN PetscErrorCode MatGetValues(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],PetscScalar[]);
400: PETSC_EXTERN PetscErrorCode MatGetRow(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
401: PETSC_EXTERN PetscErrorCode MatRestoreRow(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
402: PETSC_EXTERN PetscErrorCode MatGetRowUpperTriangular(Mat);
403: PETSC_EXTERN PetscErrorCode MatRestoreRowUpperTriangular(Mat);
404: PETSC_EXTERN PetscErrorCode MatGetColumnVector(Mat,Vec,PetscInt);
405: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArray(Mat,PetscScalar *[]);
406: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArray(Mat,PetscScalar *[]);
407: PETSC_EXTERN PetscErrorCode MatSeqAIJGetMaxRowNonzeros(Mat,PetscInt*);
408: PETSC_EXTERN PetscErrorCode MatSeqAIJSetValuesLocalFast(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
409: PETSC_EXTERN PetscErrorCode MatSeqAIJSetType(Mat,MatType);
410: PETSC_EXTERN PetscErrorCode MatSeqAIJRegister(const char[],PetscErrorCode (*)(Mat,MatType,MatReuse,Mat *));
411: PETSC_EXTERN PetscFunctionList MatSeqAIJList;
412: PETSC_EXTERN PetscErrorCode MatSeqSBAIJGetArray(Mat,PetscScalar *[]);
413: PETSC_EXTERN PetscErrorCode MatSeqSBAIJRestoreArray(Mat,PetscScalar *[]);
414: PETSC_EXTERN PetscErrorCode MatDenseGetArray(Mat,PetscScalar *[]);
415: PETSC_EXTERN PetscErrorCode MatDenseRestoreArray(Mat,PetscScalar *[]);
416: PETSC_EXTERN PetscErrorCode MatDensePlaceArray(Mat,const PetscScalar[]);
417: PETSC_EXTERN PetscErrorCode MatDenseResetArray(Mat);
418: PETSC_EXTERN PetscErrorCode MatDenseGetArrayRead(Mat,const PetscScalar *[]);
419: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayRead(Mat,const PetscScalar *[]);
420: PETSC_EXTERN PetscErrorCode MatGetBlockSize(Mat,PetscInt *);
421: PETSC_EXTERN PetscErrorCode MatSetBlockSize(Mat,PetscInt);
422: PETSC_EXTERN PetscErrorCode MatGetBlockSizes(Mat,PetscInt *,PetscInt *);
423: PETSC_EXTERN PetscErrorCode MatSetBlockSizes(Mat,PetscInt,PetscInt);
424: PETSC_EXTERN PetscErrorCode MatSetBlockSizesFromMats(Mat,Mat,Mat);
425: PETSC_EXTERN PetscErrorCode MatSetVariableBlockSizes(Mat,PetscInt,PetscInt*);
426: PETSC_EXTERN PetscErrorCode MatGetVariableBlockSizes(Mat,PetscInt*,const PetscInt**);

428: PETSC_EXTERN PetscErrorCode MatDenseGetColumn(Mat,PetscInt,PetscScalar *[]);
429: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumn(Mat,PetscScalar *[]);

431: PETSC_EXTERN PetscErrorCode MatMult(Mat,Vec,Vec);
432: PETSC_EXTERN PetscErrorCode MatMultDiagonalBlock(Mat,Vec,Vec);
433: PETSC_EXTERN PetscErrorCode MatMultAdd(Mat,Vec,Vec,Vec);
434: PETSC_EXTERN PetscErrorCode MatMultTranspose(Mat,Vec,Vec);
435: PETSC_EXTERN PetscErrorCode MatMultHermitianTranspose(Mat,Vec,Vec);
436: PETSC_EXTERN PetscErrorCode MatIsTranspose(Mat,Mat,PetscReal,PetscBool *);
437: PETSC_EXTERN PetscErrorCode MatIsHermitianTranspose(Mat,Mat,PetscReal,PetscBool *);
438: PETSC_EXTERN PetscErrorCode MatMultTransposeAdd(Mat,Vec,Vec,Vec);
439: PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeAdd(Mat,Vec,Vec,Vec);
440: PETSC_EXTERN PetscErrorCode MatMultConstrained(Mat,Vec,Vec);
441: PETSC_EXTERN PetscErrorCode MatMultTransposeConstrained(Mat,Vec,Vec);
442: PETSC_EXTERN PetscErrorCode MatMatSolve(Mat,Mat,Mat);
443: PETSC_EXTERN PetscErrorCode MatMatSolveTranspose(Mat,Mat,Mat);
444: PETSC_EXTERN PetscErrorCode MatMatTransposeSolve(Mat,Mat,Mat);
445: PETSC_EXTERN PetscErrorCode MatResidual(Mat,Vec,Vec,Vec);

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

451:     Level: beginner

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

455: $   MAT_DO_NOT_COPY_VALUES    - Create a matrix using the same nonzero pattern as the original matrix,
456: $                               with zeros for the numerical values.
457: $   MAT_COPY_VALUES           - Create a matrix with the same nonzero pattern as the original matrix
458: $                               and with the same numerical values.
459: $   MAT_SHARE_NONZERO_PATTERN - Create a matrix that shares the nonzero structure with the previous matrix
460: $                               and does not copy it, using zeros for the numerical values. The parent and
461: $                               child matrices will share their index (i and j) arrays, and you cannot
462: $                               insert new nonzero entries into either matrix.

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

468: .seealso: MatDuplicate()
469: E*/
470: typedef enum {MAT_DO_NOT_COPY_VALUES,MAT_COPY_VALUES,MAT_SHARE_NONZERO_PATTERN} MatDuplicateOption;

472: PETSC_EXTERN PetscErrorCode MatConvert(Mat,MatType,MatReuse,Mat*);
473: PETSC_EXTERN PetscErrorCode MatDuplicate(Mat,MatDuplicateOption,Mat*);


476: PETSC_EXTERN PetscErrorCode MatCopy(Mat,Mat,MatStructure);
477: PETSC_EXTERN PetscErrorCode MatView(Mat,PetscViewer);
478: PETSC_EXTERN PetscErrorCode MatIsSymmetric(Mat,PetscReal,PetscBool *);
479: PETSC_EXTERN PetscErrorCode MatIsStructurallySymmetric(Mat,PetscBool *);
480: PETSC_EXTERN PetscErrorCode MatIsHermitian(Mat,PetscReal,PetscBool *);
481: PETSC_EXTERN PetscErrorCode MatIsSymmetricKnown(Mat,PetscBool *,PetscBool *);
482: PETSC_EXTERN PetscErrorCode MatIsHermitianKnown(Mat,PetscBool *,PetscBool *);
483: PETSC_EXTERN PetscErrorCode MatMissingDiagonal(Mat,PetscBool  *,PetscInt *);
484: PETSC_EXTERN PetscErrorCode MatLoad(Mat, PetscViewer);

486: PETSC_EXTERN PetscErrorCode MatGetRowIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool  *);
487: PETSC_EXTERN PetscErrorCode MatRestoreRowIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt *,const PetscInt *[],const PetscInt *[],PetscBool  *);
488: PETSC_EXTERN PetscErrorCode MatGetColumnIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool  *);
489: PETSC_EXTERN PetscErrorCode MatRestoreColumnIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt *,const PetscInt *[],const PetscInt *[],PetscBool  *);

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

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

496:    Level: intermediate

498:   Concepts: matrix^nonzero information

500: .seealso:  MatGetInfo(), MatInfoType
501: S*/
502: typedef struct {
503:   PetscLogDouble block_size;                         /* block size */
504:   PetscLogDouble nz_allocated,nz_used,nz_unneeded;   /* number of nonzeros */
505:   PetscLogDouble memory;                             /* memory allocated */
506:   PetscLogDouble assemblies;                         /* number of matrix assemblies called */
507:   PetscLogDouble mallocs;                            /* number of mallocs during MatSetValues() */
508:   PetscLogDouble fill_ratio_given,fill_ratio_needed; /* fill ratio for LU/ILU */
509:   PetscLogDouble factor_mallocs;                     /* number of mallocs during factorization */
510: } MatInfo;

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

516:     Level: beginner

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

520: .seealso: MatGetInfo(), MatInfo
521: E*/
522: typedef enum {MAT_LOCAL=1,MAT_GLOBAL_MAX=2,MAT_GLOBAL_SUM=3} MatInfoType;
523: PETSC_EXTERN PetscErrorCode MatGetInfo(Mat,MatInfoType,MatInfo*);
524: PETSC_EXTERN PetscErrorCode MatGetDiagonal(Mat,Vec);
525: PETSC_EXTERN PetscErrorCode MatGetRowMax(Mat,Vec,PetscInt[]);
526: PETSC_EXTERN PetscErrorCode MatGetRowMin(Mat,Vec,PetscInt[]);
527: PETSC_EXTERN PetscErrorCode MatGetRowMaxAbs(Mat,Vec,PetscInt[]);
528: PETSC_EXTERN PetscErrorCode MatGetRowMinAbs(Mat,Vec,PetscInt[]);
529: PETSC_EXTERN PetscErrorCode MatGetRowSum(Mat,Vec);
530: PETSC_EXTERN PetscErrorCode MatTranspose(Mat,MatReuse,Mat*);
531: PETSC_EXTERN PetscErrorCode MatHermitianTranspose(Mat,MatReuse,Mat*);
532: PETSC_EXTERN PetscErrorCode MatPermute(Mat,IS,IS,Mat*);
533: PETSC_EXTERN PetscErrorCode MatDiagonalScale(Mat,Vec,Vec);
534: PETSC_EXTERN PetscErrorCode MatDiagonalSet(Mat,Vec,InsertMode);

536: PETSC_EXTERN PetscErrorCode MatEqual(Mat,Mat,PetscBool*);
537: PETSC_EXTERN PetscErrorCode MatMultEqual(Mat,Mat,PetscInt,PetscBool*);
538: PETSC_EXTERN PetscErrorCode MatMultAddEqual(Mat,Mat,PetscInt,PetscBool*);
539: PETSC_EXTERN PetscErrorCode MatMultTransposeEqual(Mat,Mat,PetscInt,PetscBool*);
540: PETSC_EXTERN PetscErrorCode MatMultTransposeAddEqual(Mat,Mat,PetscInt,PetscBool*);
541: PETSC_EXTERN PetscErrorCode MatMatMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
542: PETSC_EXTERN PetscErrorCode MatTransposeMatMultEqual(Mat,Mat,Mat,PetscInt,PetscBool*);
543: PETSC_EXTERN PetscErrorCode MatIsLinear(Mat,PetscInt,PetscBool*);

545: PETSC_EXTERN PetscErrorCode MatNorm(Mat,NormType,PetscReal*);
546: PETSC_EXTERN PetscErrorCode MatGetColumnNorms(Mat,NormType,PetscReal*);
547: PETSC_EXTERN PetscErrorCode MatZeroEntries(Mat);
548: PETSC_EXTERN PetscErrorCode MatZeroRows(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
549: PETSC_EXTERN PetscErrorCode MatZeroRowsIS(Mat,IS,PetscScalar,Vec,Vec);
550: PETSC_EXTERN PetscErrorCode MatZeroRowsStencil(Mat,PetscInt,const MatStencil [],PetscScalar,Vec,Vec);
551: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsStencil(Mat,PetscInt,const MatStencil[],PetscScalar,Vec,Vec);
552: PETSC_EXTERN PetscErrorCode MatZeroRowsColumns(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
553: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsIS(Mat,IS,PetscScalar,Vec,Vec);

555: PETSC_EXTERN PetscErrorCode MatGetSize(Mat,PetscInt*,PetscInt*);
556: PETSC_EXTERN PetscErrorCode MatGetLocalSize(Mat,PetscInt*,PetscInt*);
557: PETSC_EXTERN PetscErrorCode MatGetOwnershipRange(Mat,PetscInt*,PetscInt*);
558: PETSC_EXTERN PetscErrorCode MatGetOwnershipRanges(Mat,const PetscInt**);
559: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangeColumn(Mat,PetscInt*,PetscInt*);
560: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangesColumn(Mat,const PetscInt**);
561: PETSC_EXTERN PetscErrorCode MatGetOwnershipIS(Mat,IS*,IS*);

563: PETSC_EXTERN PetscErrorCode MatCreateSubMatrices(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
564: PETSC_DEPRECATED("Use MatCreateSubMatrices()") 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);}
565: PETSC_EXTERN PetscErrorCode MatCreateSubMatricesMPI(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
566: PETSC_DEPRECATED("Use MatCreateSubMatricesMPI()") 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);}
567: PETSC_EXTERN PetscErrorCode MatDestroyMatrices(PetscInt,Mat *[]);
568: PETSC_EXTERN PetscErrorCode MatDestroySubMatrices(PetscInt,Mat *[]);
569: PETSC_EXTERN PetscErrorCode MatCreateSubMatrix(Mat,IS,IS,MatReuse,Mat *);
570: PETSC_DEPRECATED("Use MatCreateSubMatrix()") PETSC_STATIC_INLINE PetscErrorCode MatGetSubMatrix(Mat mat,IS isrow,IS iscol,MatReuse cll,Mat *newmat) {return MatCreateSubMatrix(mat,isrow,iscol,cll,newmat);}
571: PETSC_EXTERN PetscErrorCode MatGetLocalSubMatrix(Mat,IS,IS,Mat*);
572: PETSC_EXTERN PetscErrorCode MatRestoreLocalSubMatrix(Mat,IS,IS,Mat*);
573: PETSC_EXTERN PetscErrorCode MatGetSeqNonzeroStructure(Mat,Mat*);
574: PETSC_EXTERN PetscErrorCode MatDestroySeqNonzeroStructure(Mat*);

576: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJ(MPI_Comm,Mat,PetscInt,PetscInt,MatReuse,Mat*);
577: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJSymbolic(MPI_Comm,Mat,PetscInt,PetscInt,Mat*);
578: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJNumeric(Mat,Mat);
579: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMat(Mat,MatReuse,Mat*);
580: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMatCondensed(Mat,MatReuse,IS*,IS*,Mat*);
581: PETSC_EXTERN PetscErrorCode MatGetBrowsOfAcols(Mat,Mat,MatReuse,IS*,IS*,Mat*);
582: PETSC_EXTERN PetscErrorCode MatGetGhosts(Mat, PetscInt *,const PetscInt *[]);

584: PETSC_EXTERN PetscErrorCode MatIncreaseOverlap(Mat,PetscInt,IS[],PetscInt);
585: PETSC_EXTERN PetscErrorCode MatIncreaseOverlapSplit(Mat mat,PetscInt n,IS is[],PetscInt ov);
586: PETSC_EXTERN PetscErrorCode MatMPIAIJSetUseScalableIncreaseOverlap(Mat,PetscBool);

588: PETSC_EXTERN PetscErrorCode MatMatMult(Mat,Mat,MatReuse,PetscReal,Mat*);
589: PETSC_EXTERN PetscErrorCode MatMatMultSymbolic(Mat,Mat,PetscReal,Mat*);
590: PETSC_EXTERN PetscErrorCode MatMatMultNumeric(Mat,Mat,Mat);

592: PETSC_EXTERN PetscErrorCode MatMatMatMult(Mat,Mat,Mat,MatReuse,PetscReal,Mat*);
593: PETSC_EXTERN PetscErrorCode MatGalerkin(Mat,Mat,Mat,MatReuse,PetscReal,Mat*);

595: PETSC_EXTERN PetscErrorCode MatPtAP(Mat,Mat,MatReuse,PetscReal,Mat*);
596: PETSC_EXTERN PetscErrorCode MatPtAPSymbolic(Mat,Mat,PetscReal,Mat*);
597: PETSC_EXTERN PetscErrorCode MatPtAPNumeric(Mat,Mat,Mat);
598: PETSC_EXTERN PetscErrorCode MatRARt(Mat,Mat,MatReuse,PetscReal,Mat*);
599: PETSC_EXTERN PetscErrorCode MatRARtSymbolic(Mat,Mat,PetscReal,Mat*);
600: PETSC_EXTERN PetscErrorCode MatRARtNumeric(Mat,Mat,Mat);

602: PETSC_EXTERN PetscErrorCode MatTransposeMatMult(Mat,Mat,MatReuse,PetscReal,Mat*);
603: PETSC_EXTERN PetscErrorCode MatTransposetMatMultSymbolic(Mat,Mat,PetscReal,Mat*);
604: PETSC_EXTERN PetscErrorCode MatTransposetMatMultNumeric(Mat,Mat,Mat);
605: PETSC_EXTERN PetscErrorCode MatMatTransposeMult(Mat,Mat,MatReuse,PetscReal,Mat*);
606: PETSC_EXTERN PetscErrorCode MatMatTransposeMultSymbolic(Mat,Mat,PetscReal,Mat*);
607: PETSC_EXTERN PetscErrorCode MatMatTransposeMultNumeric(Mat,Mat,Mat);

609: PETSC_EXTERN PetscErrorCode MatAXPY(Mat,PetscScalar,Mat,MatStructure);
610: PETSC_EXTERN PetscErrorCode MatAYPX(Mat,PetscScalar,Mat,MatStructure);

612: PETSC_EXTERN PetscErrorCode MatScale(Mat,PetscScalar);
613: PETSC_EXTERN PetscErrorCode MatShift(Mat,PetscScalar);

615: PETSC_EXTERN PetscErrorCode MatSetLocalToGlobalMapping(Mat,ISLocalToGlobalMapping,ISLocalToGlobalMapping);
616: PETSC_EXTERN PetscErrorCode MatGetLocalToGlobalMapping(Mat,ISLocalToGlobalMapping*,ISLocalToGlobalMapping*);
617: PETSC_EXTERN PetscErrorCode MatGetLayouts(Mat,PetscLayout*,PetscLayout*);
618: PETSC_EXTERN PetscErrorCode MatZeroRowsLocal(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
619: PETSC_EXTERN PetscErrorCode MatZeroRowsLocalIS(Mat,IS,PetscScalar,Vec,Vec);
620: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocal(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
621: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocalIS(Mat,IS,PetscScalar,Vec,Vec);
622: PETSC_EXTERN PetscErrorCode MatSetValuesLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
623: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);

625: PETSC_EXTERN PetscErrorCode MatStashSetInitialSize(Mat,PetscInt,PetscInt);
626: PETSC_EXTERN PetscErrorCode MatStashGetInfo(Mat,PetscInt*,PetscInt*,PetscInt*,PetscInt*);

628: PETSC_EXTERN PetscErrorCode MatInterpolate(Mat,Vec,Vec);
629: PETSC_EXTERN PetscErrorCode MatInterpolateAdd(Mat,Vec,Vec,Vec);
630: PETSC_EXTERN PetscErrorCode MatRestrict(Mat,Vec,Vec);
631: PETSC_EXTERN PetscErrorCode MatCreateVecs(Mat,Vec*,Vec*);
632: PETSC_DEPRECATED("Use MatCreateVecs()") PETSC_STATIC_INLINE PetscErrorCode MatGetVecs(Mat mat,Vec *x,Vec *y) {return MatCreateVecs(mat,x,y);}
633: PETSC_EXTERN PetscErrorCode MatCreateRedundantMatrix(Mat,PetscInt,MPI_Comm,MatReuse,Mat*);
634: PETSC_EXTERN PetscErrorCode MatGetMultiProcBlock(Mat,MPI_Comm,MatReuse,Mat*);
635: PETSC_EXTERN PetscErrorCode MatFindZeroDiagonals(Mat,IS*);
636: PETSC_EXTERN PetscErrorCode MatFindOffBlockDiagonalEntries(Mat,IS*);
637: PETSC_EXTERN PetscErrorCode MatCreateMPIMatConcatenateSeqMat(MPI_Comm,Mat,PetscInt,MatReuse,Mat*);

639: /*MC
640:    MatSetValue - Set a single entry into a matrix.

642:    Not collective

644:    Synopsis:
645:      #include <petscmat.h>
646:      PetscErrorCode MatSetValue(Mat m,PetscInt row,PetscInt col,PetscScalar value,InsertMode mode)

648:    Input Parameters:
649: +  m - the matrix
650: .  row - the row location of the entry
651: .  col - the column location of the entry
652: .  value - the value to insert
653: -  mode - either INSERT_VALUES or ADD_VALUES

655:    Notes:
656:    For efficiency one should use MatSetValues() and set several or many
657:    values simultaneously if possible.

659:    Level: beginner

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

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

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

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

673:    Synopsis:
674:    #include <petscmat.h>
675:    PetscErrorCode MatPreallocateInitialize(MPI_Comm comm, PetscInt nrows, PetscInt ncols, PetscInt *dnz, PetscInt *onz)

677:    Collective on MPI_Comm

679:    Input Parameters:
680: +  comm - the communicator that will share the eventually allocated matrix
681: .  nrows - the number of LOCAL rows in the matrix
682: -  ncols - the number of LOCAL columns in the matrix

684:    Output Parameters:
685: +  dnz - the array that will be passed to the matrix preallocation routines
686: -  onz - the other array passed to the matrix preallocation routines

688:    Level: intermediate

690:    Notes:
691:     See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.

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

695:    Use MatPreallocateInitializeSymmetric() for symmetric matrices (MPISBAIJ matrices)

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

699:   Concepts: preallocation^Matrix

701: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
702:           MatPreallocateInitializeSymmetric(), MatPreallocateSymmetricSetLocalBlock()
703: M*/
704: #define MatPreallocateInitialize(comm,nrows,ncols,dnz,onz) 0; \
705: { \
706:   PetscErrorCode _4_ierr; PetscInt __nrows = (nrows),__ncols = (ncols),__rstart,__start,__end; \
707:   _4_PetscCalloc2((size_t)__nrows,&dnz,(size_t)__nrows,&onz);CHKERRQ(_4_ierr); \
708:   __start = 0; __end = __start;                                         \
709:   _4_MPI_Scan(&__ncols,&__end,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __start = __end - __ncols;\
710:   _4_MPI_Scan(&__nrows,&__rstart,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __rstart = __rstart - __nrows;

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

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

720:    Not Collective

722:    Input Parameters:
723: +  map - the row mapping from local numbering to global numbering
724: .  nrows - the number of rows indicated
725: .  rows - the indices of the rows
726: .  cmap - the column mapping from local to global numbering
727: .  ncols - the number of columns in the matrix
728: .  cols - the columns indicated
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:   Concepts: preallocation^Matrix

741: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
742:           MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock(), MatPreallocateSetLocalRemoveDups()
743: M*/
744: #define MatPreallocateSetLocal(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
745: {\
746:   PetscInt __l;\
747:   _4_ISLocalToGlobalMappingApply(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
748:   _4_ISLocalToGlobalMappingApply(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
749:   for (__l=0;__l<nrows;__l++) {\
750:     _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
751:   }\
752: }

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

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

762:    Not Collective

764:    Input Parameters:
765: +  map - the row mapping from local numbering to global numbering
766: .  nrows - the number of rows indicated
767: .  rows - the indices of the rows (these values are mapped to the global values)
768: .  cmap - the column mapping from local to global numbering
769: .  ncols - the number of columns in the matrix   (this value will be changed if duplicate columns are found)
770: .  cols - the columns indicated (these values are mapped to the global values, they are then sorted and duplicates removed)
771: .  dnz - the array that will be passed to the matrix preallocation routines
772: -  onz - the other array passed to the matrix preallocation routines

774:    Level: intermediate

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

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

781:   Concepts: preallocation^Matrix

783: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
784:           MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock(), MatPreallocateSetLocal()
785: M*/
786: #define MatPreallocateSetLocalRemoveDups(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
787: {\
788:   PetscInt __l;\
789:   _4_ISLocalToGlobalMappingApply(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
790:   _4_ISLocalToGlobalMappingApply(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
791:   _4_PetscSortRemoveDupsInt(&ncols,cols);CHKERRQ(_4_ierr);\
792:   for (__l=0;__l<nrows;__l++) {\
793:     _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
794:   }\
795: }

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

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

805:    Not Collective

807:    Input Parameters:
808: +  map - the row mapping from local numbering to global numbering
809: .  nrows - the number of rows indicated
810: .  rows - the indices of the rows
811: .  cmap - the column mapping from local to global numbering
812: .  ncols - the number of columns in the matrix
813: .  cols - the columns indicated
814: .  dnz - the array that will be passed to the matrix preallocation routines
815: -  onz - the other array passed to the matrix preallocation routines

817:    Level: intermediate

819:    Notes:
820:     See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.

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

824:   Concepts: preallocation^Matrix

826: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
827:           MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock()
828: M*/
829: #define MatPreallocateSetLocalBlock(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
830: {\
831:   PetscInt __l;\
832:   _4_ISLocalToGlobalMappingApplyBlock(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
833:   _4_ISLocalToGlobalMappingApplyBlock(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
834:   for (__l=0;__l<nrows;__l++) {\
835:     _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
836:   }\
837: }

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

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

847:    Not Collective

849:    Input Parameters:
850: +  map - the mapping between local numbering and global numbering
851: .  nrows - the number of rows indicated
852: .  rows - the indices of the rows
853: .  ncols - the number of columns in the matrix
854: .  cols - the columns indicated
855: .  dnz - the array that will be passed to the matrix preallocation routines
856: -  onz - the other array passed to the matrix preallocation routines

858:    Level: intermediate

860:    Notes:
861:     See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.

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

865:   Concepts: preallocation^Matrix

867: .seealso: MatPreallocateFinalize(), MatPreallocateSet()
868:           MatPreallocateInitialize(),  MatPreallocateSetLocal()
869: M*/
870: #define MatPreallocateSymmetricSetLocalBlock(map,nrows,rows,ncols,cols,dnz,onz) 0;\
871: {\
872:   PetscInt __l;\
873:   _4_ISLocalToGlobalMappingApplyBlock(map,nrows,rows,rows);CHKERRQ(_4_ierr);\
874:   _4_ISLocalToGlobalMappingApplyBlock(map,ncols,cols,cols);CHKERRQ(_4_ierr);\
875:   for (__l=0;__l<nrows;__l++) {\
876:     _4_MatPreallocateSymmetricSetBlock((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
877:   }\
878: }
879: /*MC
880:    MatPreallocateSet - Indicates the locations (rows and columns) in the matrix where nonzeros will be
881:        inserted using a local number of the rows and columns

883:    Synopsis:
884:    #include <petscmat.h>
885:    PetscErrorCode MatPreallocateSet(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)

887:    Not Collective

889:    Input Parameters:
890: +  row - the row
891: .  ncols - the number of columns in the matrix
892: -  cols - the columns indicated

894:    Output Parameters:
895: +  dnz - the array that will be passed to the matrix preallocation routines
896: -  onz - the other array passed to the matrix preallocation routines

898:    Level: intermediate

900:    Notes:
901:     See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.

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

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

907:   Concepts: preallocation^Matrix

909: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock()
910:           MatPreallocateInitialize(), MatPreallocateSetLocal()
911: M*/
912: #define MatPreallocateSet(row,nc,cols,dnz,onz) 0;\
913: { PetscInt __i; \
914:   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);\
915:   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);\
916:   for (__i=0; __i<nc; __i++) {\
917:     if ((cols)[__i] < __start || (cols)[__i] >= __end) onz[row - __rstart]++; \
918:     else if (dnz[row - __rstart] < __ncols) dnz[row - __rstart]++;\
919:   }\
920: }

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

926:    Synopsis:
927:    #include <petscmat.h>
928:    PetscErrorCode MatPreallocateSymmetricSetBlock(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)

930:    Not Collective

932:    Input Parameters:
933: +  nrows - the number of rows indicated
934: .  rows - the indices of the rows
935: .  ncols - the number of columns in the matrix
936: .  cols - the columns indicated
937: .  dnz - the array that will be passed to the matrix preallocation routines
938: -  onz - the other array passed to the matrix preallocation routines

940:    Level: intermediate

942:    Notes:
943:     See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.

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

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

949:   Concepts: preallocation^Matrix

951: .seealso: MatPreallocateFinalize(), MatPreallocateSet(),  MatPreallocateInitialize(),
952:           MatPreallocateSymmetricSetLocalBlock(), MatPreallocateSetLocal()
953: M*/
954: #define MatPreallocateSymmetricSetBlock(row,nc,cols,dnz,onz) 0;\
955: { PetscInt __i; \
956:   for (__i=0; __i<nc; __i++) {\
957:     if (cols[__i] >= __end) onz[row - __rstart]++; \
958:     else if (cols[__i] >= row && dnz[row - __rstart] < __ncols) dnz[row - __rstart]++;\
959:   }\
960: }

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

965:    Synopsis:
966:    #include <petscmat.h>
967:    PetscErrorCode MatPreallocateLocations(Mat A,PetscInt row,PetscInt ncols,PetscInt *cols,PetscInt *dnz,PetscInt *onz)

969:    Not Collective

971:    Input Parameters:
972: .  A - matrix
973: .  row - row where values exist (must be local to this process)
974: .  ncols - number of columns
975: .  cols - columns with nonzeros
976: .  dnz - the array that will be passed to the matrix preallocation routines
977: -  onz - the other array passed to the matrix preallocation routines

979:    Level: intermediate

981:    Notes:
982:     See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.

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

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

988:   Concepts: preallocation^Matrix

990: .seealso: MatPreallocateInitialize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
991:           MatPreallocateSymmetricSetLocalBlock()
992: M*/
993: #define MatPreallocateLocation(A,row,ncols,cols,dnz,onz) 0;if (A) {MatSetValues(A,1,&row,ncols,cols,NULL,INSERT_VALUES);} else { MatPreallocateSet(row,ncols,cols,dnz,onz);}


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

1000:    Synopsis:
1001:    #include <petscmat.h>
1002:    PetscErrorCode MatPreallocateFinalize(PetscInt *dnz, PetscInt *onz)

1004:    Collective on MPI_Comm

1006:    Input Parameters:
1007: +  dnz - the array that was be passed to the matrix preallocation routines
1008: -  onz - the other array passed to the matrix preallocation routines

1010:    Level: intermediate

1012:    Notes:
1013:     See Users-Manual: Chapter 14 Hints for Performance Tuning for more details.

1015:    Do not malloc or free dnz and onz that is handled internally by these routines

1017:    This is a MACRO not a function because it closes the { started in MatPreallocateInitialize().

1019:   Concepts: preallocation^Matrix

1021: .seealso: MatPreallocateInitialize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
1022:           MatPreallocateSymmetricSetLocalBlock()
1023: M*/
1024: #define MatPreallocateFinalize(dnz,onz) 0;_4_PetscFree2(dnz,onz);CHKERRQ(_4_ierr);}

1026: /* Routines unique to particular data structures */
1027: PETSC_EXTERN PetscErrorCode MatShellGetContext(Mat,void *);

1029: PETSC_EXTERN PetscErrorCode MatInodeAdjustForInodes(Mat,IS*,IS*);
1030: PETSC_EXTERN PetscErrorCode MatInodeGetInodeSizes(Mat,PetscInt *,PetscInt *[],PetscInt *);

1032: PETSC_EXTERN PetscErrorCode MatSeqAIJSetColumnIndices(Mat,PetscInt[]);
1033: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetColumnIndices(Mat,PetscInt[]);
1034: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
1035: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
1036: PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
1037: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJFromTriple(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*,PetscInt,PetscBool);

1039: #define MAT_SKIP_ALLOCATION -4

1041: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
1042: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
1043: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocation(Mat,PetscInt,const PetscInt[]);

1045: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1046: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1047: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1048: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocationCSR(Mat,const PetscInt [],const PetscInt [],const PetscScalar []);
1049: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
1050: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocationCSR(Mat,const PetscInt[],const PetscInt[],const PetscScalar[]);
1051: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
1052: PETSC_EXTERN PetscErrorCode MatMPIAdjSetPreallocation(Mat,PetscInt[],PetscInt[],PetscInt[]);
1053: PETSC_EXTERN PetscErrorCode MatMPIAdjToSeq(Mat,Mat*);
1054: PETSC_EXTERN PetscErrorCode MatMPIDenseSetPreallocation(Mat,PetscScalar[]);
1055: PETSC_EXTERN PetscErrorCode MatSeqDenseSetPreallocation(Mat,PetscScalar[]);
1056: PETSC_EXTERN PetscErrorCode MatMPIAIJGetSeqAIJ(Mat,Mat*,Mat*,const PetscInt*[]);
1057: PETSC_EXTERN PetscErrorCode MatMPIBAIJGetSeqBAIJ(Mat,Mat*,Mat*,const PetscInt*[]);
1058: PETSC_EXTERN PetscErrorCode MatMPIAdjCreateNonemptySubcommMat(Mat,Mat*);

1060: PETSC_EXTERN PetscErrorCode MatSeqDenseSetLDA(Mat,PetscInt);
1061: PETSC_EXTERN PetscErrorCode MatDenseGetLocalMatrix(Mat,Mat*);

1063: PETSC_EXTERN PetscErrorCode MatStoreValues(Mat);
1064: PETSC_EXTERN PetscErrorCode MatRetrieveValues(Mat);

1066: PETSC_EXTERN PetscErrorCode MatDAADSetCtx(Mat,void*);

1068: PETSC_EXTERN PetscErrorCode MatFindNonzeroRows(Mat,IS*);
1069: PETSC_EXTERN PetscErrorCode MatFindZeroRows(Mat,IS*);
1070: /*
1071:   These routines are not usually accessed directly, rather solving is
1072:   done through the KSP and PC interfaces.
1073: */

1075: /*J
1076:     MatOrderingType - String with the name of a PETSc matrix ordering

1078:    Level: beginner

1080: .seealso: MatGetOrdering()
1081: J*/
1082: typedef const char* MatOrderingType;
1083: #define MATORDERINGNATURAL     "natural"
1084: #define MATORDERINGND          "nd"
1085: #define MATORDERING1WD         "1wd"
1086: #define MATORDERINGRCM         "rcm"
1087: #define MATORDERINGQMD         "qmd"
1088: #define MATORDERINGROWLENGTH   "rowlength"
1089: #define MATORDERINGWBM         "wbm"
1090: #define MATORDERINGSPECTRAL    "spectral"
1091: #define MATORDERINGAMD         "amd"            /* only works if UMFPACK is installed with PETSc */

1093: PETSC_EXTERN PetscErrorCode MatGetOrdering(Mat,MatOrderingType,IS*,IS*);
1094: PETSC_EXTERN PetscErrorCode MatGetOrderingList(PetscFunctionList*);
1095: PETSC_EXTERN PetscErrorCode MatOrderingRegister(const char[],PetscErrorCode(*)(Mat,MatOrderingType,IS*,IS*));
1096: PETSC_EXTERN PetscFunctionList MatOrderingList;

1098: PETSC_EXTERN PetscErrorCode MatReorderForNonzeroDiagonal(Mat,PetscReal,IS,IS);
1099: PETSC_EXTERN PetscErrorCode MatCreateLaplacian(Mat,PetscReal,PetscBool,Mat*);

1101: /*S
1102:     MatFactorShiftType - Numeric Shift.

1104:    Level: beginner

1106: S*/
1107: typedef enum {MAT_SHIFT_NONE,MAT_SHIFT_NONZERO,MAT_SHIFT_POSITIVE_DEFINITE,MAT_SHIFT_INBLOCKS} MatFactorShiftType;
1108: PETSC_EXTERN const char *const MatFactorShiftTypes[];
1109: PETSC_EXTERN const char *const MatFactorShiftTypesDetail[];

1111: /*S
1112:     MatFactorError - indicates what type of error in matrix factor

1114:     Level: beginner

1116:     Developer Notes:
1117:     Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h

1119: .seealso: MatGetFactor()
1120: S*/
1121: typedef enum {MAT_FACTOR_NOERROR,MAT_FACTOR_STRUCT_ZEROPIVOT,MAT_FACTOR_NUMERIC_ZEROPIVOT,MAT_FACTOR_OUTMEMORY,MAT_FACTOR_OTHER} MatFactorError;

1123: PETSC_EXTERN PetscErrorCode MatFactorGetError(Mat,MatFactorError*);
1124: PETSC_EXTERN PetscErrorCode MatFactorClearError(Mat);
1125: PETSC_EXTERN PetscErrorCode MatFactorGetErrorZeroPivot(Mat,PetscReal*,PetscInt*);

1127: /*S
1128:    MatFactorInfo - Data passed into the matrix factorization routines, and information about the resulting factorization

1130:    In Fortran these are simply double precision arrays of size MAT_FACTORINFO_SIZE, that is use
1131: $     MatFactorInfo  info(MAT_FACTORINFO_SIZE)

1133:    Notes:
1134:     These are not usually directly used by users, instead use PC type of LU, ILU, CHOLESKY or ICC.

1136:       You can use MatFactorInfoInitialize() to set default values.

1138:    Level: developer

1140: .seealso: MatLUFactorSymbolic(), MatILUFactorSymbolic(), MatCholeskyFactorSymbolic(), MatICCFactorSymbolic(), MatICCFactor(),
1141:           MatFactorInfoInitialize()

1143: S*/
1144: typedef struct {
1145:   PetscReal     diagonal_fill;  /* force diagonal to fill in if initially not filled */
1146:   PetscReal     usedt;
1147:   PetscReal     dt;             /* drop tolerance */
1148:   PetscReal     dtcol;          /* tolerance for pivoting */
1149:   PetscReal     dtcount;        /* maximum nonzeros to be allowed per row */
1150:   PetscReal     fill;           /* expected fill, nonzeros in factored matrix/nonzeros in original matrix */
1151:   PetscReal     levels;         /* ICC/ILU(levels) */
1152:   PetscReal     pivotinblocks;  /* for BAIJ and SBAIJ matrices pivot in factorization on blocks, default 1.0
1153:                                    factorization may be faster if do not pivot */
1154:   PetscReal     zeropivot;      /* pivot is called zero if less than this */
1155:   PetscReal     shifttype;      /* type of shift added to matrix factor to prevent zero pivots */
1156:   PetscReal     shiftamount;     /* how large the shift is */
1157: } MatFactorInfo;

1159: PETSC_EXTERN PetscErrorCode MatFactorInfoInitialize(MatFactorInfo*);
1160: PETSC_EXTERN PetscErrorCode MatCholeskyFactor(Mat,IS,const MatFactorInfo*);
1161: PETSC_EXTERN PetscErrorCode MatCholeskyFactorSymbolic(Mat,Mat,IS,const MatFactorInfo*);
1162: PETSC_EXTERN PetscErrorCode MatCholeskyFactorNumeric(Mat,Mat,const MatFactorInfo*);
1163: PETSC_EXTERN PetscErrorCode MatLUFactor(Mat,IS,IS,const MatFactorInfo*);
1164: PETSC_EXTERN PetscErrorCode MatILUFactor(Mat,IS,IS,const MatFactorInfo*);
1165: PETSC_EXTERN PetscErrorCode MatLUFactorSymbolic(Mat,Mat,IS,IS,const MatFactorInfo*);
1166: PETSC_EXTERN PetscErrorCode MatILUFactorSymbolic(Mat,Mat,IS,IS,const MatFactorInfo*);
1167: PETSC_EXTERN PetscErrorCode MatICCFactorSymbolic(Mat,Mat,IS,const MatFactorInfo*);
1168: PETSC_EXTERN PetscErrorCode MatICCFactor(Mat,IS,const MatFactorInfo*);
1169: PETSC_EXTERN PetscErrorCode MatLUFactorNumeric(Mat,Mat,const MatFactorInfo*);
1170: PETSC_EXTERN PetscErrorCode MatGetInertia(Mat,PetscInt*,PetscInt*,PetscInt*);
1171: PETSC_EXTERN PetscErrorCode MatSolve(Mat,Vec,Vec);
1172: PETSC_EXTERN PetscErrorCode MatForwardSolve(Mat,Vec,Vec);
1173: PETSC_EXTERN PetscErrorCode MatBackwardSolve(Mat,Vec,Vec);
1174: PETSC_EXTERN PetscErrorCode MatSolveAdd(Mat,Vec,Vec,Vec);
1175: PETSC_EXTERN PetscErrorCode MatSolveTranspose(Mat,Vec,Vec);
1176: PETSC_EXTERN PetscErrorCode MatSolveTransposeAdd(Mat,Vec,Vec,Vec);
1177: PETSC_EXTERN PetscErrorCode MatSolves(Mat,Vecs,Vecs);
1178: PETSC_EXTERN PetscErrorCode MatSetUnfactored(Mat);

1180: typedef enum {MAT_FACTOR_SCHUR_UNFACTORED, MAT_FACTOR_SCHUR_FACTORED, MAT_FACTOR_SCHUR_INVERTED} MatFactorSchurStatus;
1181: PETSC_EXTERN PetscErrorCode MatFactorSetSchurIS(Mat,IS);
1182: PETSC_EXTERN PetscErrorCode MatFactorGetSchurComplement(Mat,Mat*,MatFactorSchurStatus*);
1183: PETSC_EXTERN PetscErrorCode MatFactorRestoreSchurComplement(Mat,Mat*,MatFactorSchurStatus);
1184: PETSC_EXTERN PetscErrorCode MatFactorInvertSchurComplement(Mat);
1185: PETSC_EXTERN PetscErrorCode MatFactorCreateSchurComplement(Mat,Mat*,MatFactorSchurStatus*);
1186: PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplement(Mat,Vec,Vec);
1187: PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplementTranspose(Mat,Vec,Vec);
1188: PETSC_EXTERN PetscErrorCode MatFactorFactorizeSchurComplement(Mat);

1190: /*E
1191:     MatSORType - What type of (S)SOR to perform

1193:     Level: beginner

1195:    May be bitwise ORd together

1197:    Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h

1199:    MatSORType may be bitwise ORd together, so do not change the numbers

1201: .seealso: MatSOR()
1202: E*/
1203: typedef enum {SOR_FORWARD_SWEEP=1,SOR_BACKWARD_SWEEP=2,SOR_SYMMETRIC_SWEEP=3,
1204:               SOR_LOCAL_FORWARD_SWEEP=4,SOR_LOCAL_BACKWARD_SWEEP=8,
1205:               SOR_LOCAL_SYMMETRIC_SWEEP=12,SOR_ZERO_INITIAL_GUESS=16,
1206:               SOR_EISENSTAT=32,SOR_APPLY_UPPER=64,SOR_APPLY_LOWER=128} MatSORType;
1207: PETSC_EXTERN PetscErrorCode MatSOR(Mat,Vec,PetscReal,MatSORType,PetscReal,PetscInt,PetscInt,Vec);

1209: /*
1210:     These routines are for efficiently computing Jacobians via finite differences.
1211: */

1213: /*S
1214:      MatColoring - Object for managing the coloring of matrices.

1216:    Level: beginner

1218:   Concepts: matrix, coloring

1220: .seealso:  MatFDColoringCreate() ISColoring MatFDColoring
1221: S*/
1222: typedef struct _p_MatColoring* MatColoring;
1223: /*J
1224:     MatColoringType - String with the name of a PETSc matrix coloring

1226:    Level: beginner

1228: .seealso: MatColoringSetType(), MatColoring
1229: J*/

1231: typedef const  char*           MatColoringType;
1232: #define MATCOLORINGJP      "jp"
1233: #define MATCOLORINGPOWER   "power"
1234: #define MATCOLORINGNATURAL "natural"
1235: #define MATCOLORINGSL      "sl"
1236: #define MATCOLORINGLF      "lf"
1237: #define MATCOLORINGID      "id"
1238: #define MATCOLORINGGREEDY  "greedy"

1240: /*E
1241:    MatColoringWeightType - Type of weight scheme

1243:     Not Collective

1245: +   MAT_COLORING_RANDOM  - Random weights
1246: .   MAT_COLORING_LEXICAL - Lexical weighting based upon global numbering.
1247: -   MAT_COLORING_LF      - Last-first weighting.

1249:     Level: intermediate

1251:    Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h
1252: E*/
1253: typedef enum {MAT_COLORING_WEIGHT_RANDOM,MAT_COLORING_WEIGHT_LEXICAL,MAT_COLORING_WEIGHT_LF,MAT_COLORING_WEIGHT_SL} MatColoringWeightType;

1255: PETSC_EXTERN PetscErrorCode MatColoringCreate(Mat,MatColoring*);
1256: PETSC_EXTERN PetscErrorCode MatColoringGetDegrees(Mat,PetscInt,PetscInt*);
1257: PETSC_EXTERN PetscErrorCode MatColoringDestroy(MatColoring*);
1258: PETSC_EXTERN PetscErrorCode MatColoringView(MatColoring,PetscViewer);
1259: PETSC_EXTERN PetscErrorCode MatColoringSetType(MatColoring,MatColoringType);
1260: PETSC_EXTERN PetscErrorCode MatColoringSetFromOptions(MatColoring);
1261: PETSC_EXTERN PetscErrorCode MatColoringSetDistance(MatColoring,PetscInt);
1262: PETSC_EXTERN PetscErrorCode MatColoringGetDistance(MatColoring,PetscInt*);
1263: PETSC_EXTERN PetscErrorCode MatColoringSetMaxColors(MatColoring,PetscInt);
1264: PETSC_EXTERN PetscErrorCode MatColoringGetMaxColors(MatColoring,PetscInt*);
1265: PETSC_EXTERN PetscErrorCode MatColoringApply(MatColoring,ISColoring*);
1266: PETSC_EXTERN PetscErrorCode MatColoringRegister(const char[],PetscErrorCode(*)(MatColoring));
1267: PETSC_EXTERN PetscErrorCode MatColoringPatch(Mat,PetscInt,PetscInt,ISColoringValue[],ISColoring*);
1268: PETSC_EXTERN PetscErrorCode MatColoringSetWeightType(MatColoring,MatColoringWeightType);
1269: PETSC_EXTERN PetscErrorCode MatColoringSetWeights(MatColoring,PetscReal*,PetscInt*);
1270: PETSC_EXTERN PetscErrorCode MatColoringCreateWeights(MatColoring,PetscReal **,PetscInt **lperm);
1271: PETSC_EXTERN PetscErrorCode MatColoringTest(MatColoring,ISColoring);
1272: PETSC_DEPRECATED("Use MatColoringTest()") PETSC_STATIC_INLINE PetscErrorCode MatColoringTestValid(MatColoring matcoloring,ISColoring iscoloring) {return MatColoringTest(matcoloring,iscoloring);}
1273: PETSC_EXTERN PetscErrorCode MatISColoringTest(Mat,ISColoring);

1275: /*S
1276:      MatFDColoring - Object for computing a sparse Jacobian via finite differences
1277:         and coloring

1279:    Level: beginner

1281:   Concepts: coloring, sparse Jacobian, finite differences

1283: .seealso:  MatFDColoringCreate()
1284: S*/
1285: typedef struct _p_MatFDColoring* MatFDColoring;

1287: PETSC_EXTERN PetscErrorCode MatFDColoringCreate(Mat,ISColoring,MatFDColoring *);
1288: PETSC_EXTERN PetscErrorCode MatFDColoringDestroy(MatFDColoring*);
1289: PETSC_EXTERN PetscErrorCode MatFDColoringView(MatFDColoring,PetscViewer);
1290: PETSC_EXTERN PetscErrorCode MatFDColoringSetFunction(MatFDColoring,PetscErrorCode (*)(void),void*);
1291: PETSC_EXTERN PetscErrorCode MatFDColoringGetFunction(MatFDColoring,PetscErrorCode (**)(void),void**);
1292: PETSC_EXTERN PetscErrorCode MatFDColoringSetParameters(MatFDColoring,PetscReal,PetscReal);
1293: PETSC_EXTERN PetscErrorCode MatFDColoringSetFromOptions(MatFDColoring);
1294: PETSC_EXTERN PetscErrorCode MatFDColoringApply(Mat,MatFDColoring,Vec,void *);
1295: PETSC_EXTERN PetscErrorCode MatFDColoringSetF(MatFDColoring,Vec);
1296: PETSC_EXTERN PetscErrorCode MatFDColoringGetPerturbedColumns(MatFDColoring,PetscInt*,const PetscInt*[]);
1297: PETSC_EXTERN PetscErrorCode MatFDColoringSetUp(Mat,ISColoring,MatFDColoring);
1298: PETSC_EXTERN PetscErrorCode MatFDColoringSetBlockSize(MatFDColoring,PetscInt,PetscInt);


1301: /*S
1302:      MatTransposeColoring - Object for computing a sparse matrix product C=A*B^T via coloring

1304:    Level: beginner

1306:   Concepts: coloring, sparse matrix product

1308: .seealso:  MatTransposeColoringCreate()
1309: S*/
1310: typedef struct _p_MatTransposeColoring* MatTransposeColoring;

1312: PETSC_EXTERN PetscErrorCode MatTransposeColoringCreate(Mat,ISColoring,MatTransposeColoring *);
1313: PETSC_EXTERN PetscErrorCode MatTransColoringApplySpToDen(MatTransposeColoring,Mat,Mat);
1314: PETSC_EXTERN PetscErrorCode MatTransColoringApplyDenToSp(MatTransposeColoring,Mat,Mat);
1315: PETSC_EXTERN PetscErrorCode MatTransposeColoringDestroy(MatTransposeColoring*);

1317: /*
1318:     These routines are for partitioning matrices: currently used only
1319:   for adjacency matrix, MatCreateMPIAdj().
1320: */

1322: /*S
1323:      MatPartitioning - Object for managing the partitioning of a matrix or graph

1325:    Level: beginner

1327:   Concepts: partitioning

1329: .seealso:  MatPartitioningCreate(), MatPartitioningType
1330: S*/
1331: typedef struct _p_MatPartitioning* MatPartitioning;

1333: /*J
1334:     MatPartitioningType - String with the name of a PETSc matrix partitioning

1336:    Level: beginner
1337: dm
1338: .seealso: MatPartitioningCreate(), MatPartitioning
1339: J*/
1340: typedef const char* MatPartitioningType;
1341: #define MATPARTITIONINGCURRENT  "current"
1342: #define MATPARTITIONINGAVERAGE   "average"
1343: #define MATPARTITIONINGSQUARE   "square"
1344: #define MATPARTITIONINGPARMETIS "parmetis"
1345: #define MATPARTITIONINGCHACO    "chaco"
1346: #define MATPARTITIONINGPARTY    "party"
1347: #define MATPARTITIONINGPTSCOTCH "ptscotch"
1348: #define MATPARTITIONINGHIERARCH  "hierarch"


1351: PETSC_EXTERN PetscErrorCode MatPartitioningCreate(MPI_Comm,MatPartitioning*);
1352: PETSC_EXTERN PetscErrorCode MatPartitioningSetType(MatPartitioning,MatPartitioningType);
1353: PETSC_EXTERN PetscErrorCode MatPartitioningSetNParts(MatPartitioning,PetscInt);
1354: PETSC_EXTERN PetscErrorCode MatPartitioningSetAdjacency(MatPartitioning,Mat);
1355: PETSC_EXTERN PetscErrorCode MatPartitioningSetVertexWeights(MatPartitioning,const PetscInt[]);
1356: PETSC_EXTERN PetscErrorCode MatPartitioningSetPartitionWeights(MatPartitioning,const PetscReal []);
1357: PETSC_EXTERN PetscErrorCode MatPartitioningApply(MatPartitioning,IS*);
1358: PETSC_EXTERN PetscErrorCode MatPartitioningApplyND(MatPartitioning,IS*);
1359: PETSC_EXTERN PetscErrorCode MatPartitioningDestroy(MatPartitioning*);

1361: PETSC_EXTERN PetscErrorCode MatPartitioningRegister(const char[],PetscErrorCode (*)(MatPartitioning));



1365: PETSC_EXTERN PetscErrorCode MatPartitioningView(MatPartitioning,PetscViewer);
1366: PETSC_STATIC_INLINE PetscErrorCode MatPartitioningViewFromOptions(MatPartitioning A,PetscObject B,const char name[]) {return PetscObjectViewFromOptions((PetscObject)A,B,name);}

1368: PETSC_EXTERN PetscErrorCode MatPartitioningSetFromOptions(MatPartitioning);
1369: PETSC_EXTERN PetscErrorCode MatPartitioningGetType(MatPartitioning,MatPartitioningType*);

1371: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetRepartition(MatPartitioning part);
1372: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetCoarseSequential(MatPartitioning);
1373: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisGetEdgeCut(MatPartitioning, PetscInt *);

1375: typedef enum { MP_CHACO_MULTILEVEL=1,MP_CHACO_SPECTRAL=2,MP_CHACO_LINEAR=4,MP_CHACO_RANDOM=5,MP_CHACO_SCATTERED=6 } MPChacoGlobalType;
1376: PETSC_EXTERN const char *const MPChacoGlobalTypes[];
1377: typedef enum { MP_CHACO_KERNIGHAN=1,MP_CHACO_NONE=2 } MPChacoLocalType;
1378: PETSC_EXTERN const char *const MPChacoLocalTypes[];
1379: typedef enum { MP_CHACO_LANCZOS=0,MP_CHACO_RQI=1 } MPChacoEigenType;
1380: PETSC_EXTERN const char *const MPChacoEigenTypes[];

1382: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetGlobal(MatPartitioning,MPChacoGlobalType);
1383: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetGlobal(MatPartitioning,MPChacoGlobalType*);
1384: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetLocal(MatPartitioning,MPChacoLocalType);
1385: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetLocal(MatPartitioning,MPChacoLocalType*);
1386: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetCoarseLevel(MatPartitioning,PetscReal);
1387: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenSolver(MatPartitioning,MPChacoEigenType);
1388: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenSolver(MatPartitioning,MPChacoEigenType*);
1389: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenTol(MatPartitioning,PetscReal);
1390: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenTol(MatPartitioning,PetscReal*);
1391: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenNumber(MatPartitioning,PetscInt);
1392: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenNumber(MatPartitioning,PetscInt*);

1394: #define MP_PARTY_OPT "opt"
1395: #define MP_PARTY_LIN "lin"
1396: #define MP_PARTY_SCA "sca"
1397: #define MP_PARTY_RAN "ran"
1398: #define MP_PARTY_GBF "gbf"
1399: #define MP_PARTY_GCF "gcf"
1400: #define MP_PARTY_BUB "bub"
1401: #define MP_PARTY_DEF "def"
1402: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetGlobal(MatPartitioning,const char*);
1403: #define MP_PARTY_HELPFUL_SETS "hs"
1404: #define MP_PARTY_KERNIGHAN_LIN "kl"
1405: #define MP_PARTY_NONE "no"
1406: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetLocal(MatPartitioning,const char*);
1407: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetCoarseLevel(MatPartitioning,PetscReal);
1408: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetBipart(MatPartitioning,PetscBool);
1409: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetMatchOptimization(MatPartitioning,PetscBool);

1411: typedef enum { MP_PTSCOTCH_DEFAULT,MP_PTSCOTCH_QUALITY,MP_PTSCOTCH_SPEED,MP_PTSCOTCH_BALANCE,MP_PTSCOTCH_SAFETY,MP_PTSCOTCH_SCALABILITY } MPPTScotchStrategyType;
1412: PETSC_EXTERN const char *const MPPTScotchStrategyTypes[];

1414: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetImbalance(MatPartitioning,PetscReal);
1415: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetImbalance(MatPartitioning,PetscReal*);
1416: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetStrategy(MatPartitioning,MPPTScotchStrategyType);
1417: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetStrategy(MatPartitioning,MPPTScotchStrategyType*);

1419: /*
1420:  * hierarchical partitioning
1421:  */
1422: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetFineparts(MatPartitioning,IS*);
1423: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetCoarseparts(MatPartitioning,IS*);
1424: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNcoarseparts(MatPartitioning,PetscInt);
1425: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNfineparts(MatPartitioning, PetscInt);

1427: PETSC_EXTERN PetscErrorCode MatMeshToVertexGraph(Mat,PetscInt,Mat*);
1428: PETSC_EXTERN PetscErrorCode MatMeshToCellGraph(Mat,PetscInt,Mat*);

1430: /*
1431:     If you add entries here you must also add them to petsc/finclude/petscmat.h
1432: */
1433: typedef enum { MATOP_SET_VALUES=0,
1434:                MATOP_GET_ROW=1,
1435:                MATOP_RESTORE_ROW=2,
1436:                MATOP_MULT=3,
1437:                MATOP_MULT_ADD=4,
1438:                MATOP_MULT_TRANSPOSE=5,
1439:                MATOP_MULT_TRANSPOSE_ADD=6,
1440:                MATOP_SOLVE=7,
1441:                MATOP_SOLVE_ADD=8,
1442:                MATOP_SOLVE_TRANSPOSE=9,
1443:                MATOP_SOLVE_TRANSPOSE_ADD=10,
1444:                MATOP_LUFACTOR=11,
1445:                MATOP_CHOLESKYFACTOR=12,
1446:                MATOP_SOR=13,
1447:                MATOP_TRANSPOSE=14,
1448:                MATOP_GETINFO=15,
1449:                MATOP_EQUAL=16,
1450:                MATOP_GET_DIAGONAL=17,
1451:                MATOP_DIAGONAL_SCALE=18,
1452:                MATOP_NORM=19,
1453:                MATOP_ASSEMBLY_BEGIN=20,
1454:                MATOP_ASSEMBLY_END=21,
1455:                MATOP_SET_OPTION=22,
1456:                MATOP_ZERO_ENTRIES=23,
1457:                MATOP_ZERO_ROWS=24,
1458:                MATOP_LUFACTOR_SYMBOLIC=25,
1459:                MATOP_LUFACTOR_NUMERIC=26,
1460:                MATOP_CHOLESKY_FACTOR_SYMBOLIC=27,
1461:                MATOP_CHOLESKY_FACTOR_NUMERIC=28,
1462:                MATOP_SETUP_PREALLOCATION=29,
1463:                MATOP_ILUFACTOR_SYMBOLIC=30,
1464:                MATOP_ICCFACTOR_SYMBOLIC=31,
1465:                MATOP_GET_DIAGONAL_BLOCK=32,
1466:                /* MATOP_PLACEHOLDER_33=33, */
1467:                MATOP_DUPLICATE=34,
1468:                MATOP_FORWARD_SOLVE=35,
1469:                MATOP_BACKWARD_SOLVE=36,
1470:                MATOP_ILUFACTOR=37,
1471:                MATOP_ICCFACTOR=38,
1472:                MATOP_AXPY=39,
1473:                MATOP_CREATE_SUBMATRICES=40,
1474:                MATOP_INCREASE_OVERLAP=41,
1475:                MATOP_GET_VALUES=42,
1476:                MATOP_COPY=43,
1477:                MATOP_GET_ROW_MAX=44,
1478:                MATOP_SCALE=45,
1479:                MATOP_SHIFT=46,
1480:                MATOP_DIAGONAL_SET=47,
1481:                MATOP_ZERO_ROWS_COLUMNS=48,
1482:                MATOP_SET_RANDOM=49,
1483:                MATOP_GET_ROW_IJ=50,
1484:                MATOP_RESTORE_ROW_IJ=51,
1485:                MATOP_GET_COLUMN_IJ=52,
1486:                MATOP_RESTORE_COLUMN_IJ=53,
1487:                MATOP_FDCOLORING_CREATE=54,
1488:                MATOP_COLORING_PATCH=55,
1489:                MATOP_SET_UNFACTORED=56,
1490:                MATOP_PERMUTE=57,
1491:                MATOP_SET_VALUES_BLOCKED=58,
1492:                MATOP_CREATE_SUBMATRIX=59,
1493:                MATOP_DESTROY=60,
1494:                MATOP_VIEW=61,
1495:                MATOP_CONVERT_FROM=62,
1496:                MATOP_MATMAT_MULT=63,
1497:                MATOP_MATMAT_MULT_SYMBOLIC=64,
1498:                MATOP_MATMAT_MULT_NUMERIC=65,
1499:                MATOP_SET_LOCAL_TO_GLOBAL_MAP=66,
1500:                MATOP_SET_VALUES_LOCAL=67,
1501:                MATOP_ZERO_ROWS_LOCAL=68,
1502:                MATOP_GET_ROW_MAX_ABS=69,
1503:                MATOP_GET_ROW_MIN_ABS=70,
1504:                MATOP_CONVERT=71,
1505:                MATOP_SET_COLORING=72,
1506:                /* MATOP_PLACEHOLDER_73=73, */
1507:                MATOP_SET_VALUES_ADIFOR=74,
1508:                MATOP_FD_COLORING_APPLY=75,
1509:                MATOP_SET_FROM_OPTIONS=76,
1510:                MATOP_MULT_CONSTRAINED=77,
1511:                MATOP_MULT_TRANSPOSE_CONSTRAIN=78,
1512:                MATOP_FIND_ZERO_DIAGONALS=79,
1513:                MATOP_MULT_MULTIPLE=80,
1514:                MATOP_SOLVE_MULTIPLE=81,
1515:                MATOP_GET_INERTIA=82,
1516:                MATOP_LOAD=83,
1517:                MATOP_IS_SYMMETRIC=84,
1518:                MATOP_IS_HERMITIAN=85,
1519:                MATOP_IS_STRUCTURALLY_SYMMETRIC=86,
1520:                MATOP_SET_VALUES_BLOCKEDLOCAL=87,
1521:                MATOP_CREATE_VECS=88,
1522:                MATOP_MAT_MULT=89,
1523:                MATOP_MAT_MULT_SYMBOLIC=90,
1524:                MATOP_MAT_MULT_NUMERIC=91,
1525:                MATOP_PTAP=92,
1526:                MATOP_PTAP_SYMBOLIC=93,
1527:                MATOP_PTAP_NUMERIC=94,
1528:                MATOP_MAT_TRANSPOSE_MULT=95,
1529:                MATOP_MAT_TRANSPOSE_MULT_SYMBO=96,
1530:                MATOP_MAT_TRANSPOSE_MULT_NUMER=97,
1531:                /* MATOP_PLACEHOLDER_98=98, */
1532:                /* MATOP_PLACEHOLDER_99=99, */
1533:                /* MATOP_PLACEHOLDER_100=100, */
1534:                /* MATOP_PLACEHOLDER_101=101, */
1535:                MATOP_CONJUGATE=102,
1536:                /* MATOP_PLACEHOLDER_103=103, */
1537:                MATOP_SET_VALUES_ROW=104,
1538:                MATOP_REAL_PART=105,
1539:                MATOP_IMAGINARY_PART=106,
1540:                MATOP_GET_ROW_UPPER_TRIANGULAR=107,
1541:                MATOP_RESTORE_ROW_UPPER_TRIANG=108,
1542:                MATOP_MAT_SOLVE=109,
1543:                MATOP_MAT_SOLVE_TRANSPOSE=110,
1544:                MATOP_GET_ROW_MIN=111,
1545:                MATOP_GET_COLUMN_VECTOR=112,
1546:                MATOP_MISSING_DIAGONAL=113,
1547:                MATOP_GET_SEQ_NONZERO_STRUCTUR=114,
1548:                MATOP_CREATE=115,
1549:                MATOP_GET_GHOSTS=116,
1550:                MATOP_GET_LOCAL_SUB_MATRIX=117,
1551:                MATOP_RESTORE_LOCALSUB_MATRIX=118,
1552:                MATOP_MULT_DIAGONAL_BLOCK=119,
1553:                MATOP_HERMITIAN_TRANSPOSE=120,
1554:                MATOP_MULT_HERMITIAN_TRANSPOSE=121,
1555:                MATOP_MULT_HERMITIAN_TRANS_ADD=122,
1556:                MATOP_GET_MULTI_PROC_BLOCK=123,
1557:                MATOP_FIND_NONZERO_ROWS=124,
1558:                MATOP_GET_COLUMN_NORMS=125,
1559:                MATOP_INVERT_BLOCK_DIAGONAL=126,
1560:                /* MATOP_PLACEHOLDER_127=127, */
1561:                MATOP_CREATE_SUB_MATRICES_MPI=128,
1562:                MATOP_SET_VALUES_BATCH=129,
1563:                MATOP_TRANSPOSE_MAT_MULT=130,
1564:                MATOP_TRANSPOSE_MAT_MULT_SYMBO=131,
1565:                MATOP_TRANSPOSE_MAT_MULT_NUMER=132,
1566:                MATOP_TRANSPOSE_COLORING_CREAT=133,
1567:                MATOP_TRANS_COLORING_APPLY_SPT=134,
1568:                MATOP_TRANS_COLORING_APPLY_DEN=135,
1569:                MATOP_RART=136,
1570:                MATOP_RART_SYMBOLIC=137,
1571:                MATOP_RART_NUMERIC=138,
1572:                MATOP_SET_BLOCK_SIZES=139,
1573:                MATOP_AYPX=140,
1574:                MATOP_RESIDUAL=141,
1575:                MATOP_FDCOLORING_SETUP=142,
1576:                MATOP_MPICONCATENATESEQ=144,
1577:                MATOP_DESTROYSUBMATRICES=145
1578:              } MatOperation;
1579: PETSC_EXTERN PetscErrorCode MatSetOperation(Mat,MatOperation,void(*)(void));
1580: PETSC_EXTERN PetscErrorCode MatGetOperation(Mat,MatOperation,void(**)(void));
1581: PETSC_EXTERN PetscErrorCode MatHasOperation(Mat,MatOperation,PetscBool *);
1582: PETSC_EXTERN PetscErrorCode MatHasCongruentLayouts(Mat,PetscBool *);

1584: PETSC_EXTERN PetscErrorCode MatShellSetOperation(Mat,MatOperation,void(*)(void));
1585: PETSC_EXTERN PetscErrorCode MatShellGetOperation(Mat,MatOperation,void(**)(void));
1586: PETSC_EXTERN PetscErrorCode MatShellSetContext(Mat,void*);
1587: PETSC_EXTERN PetscErrorCode MatShellTestMult(Mat,PetscErrorCode (*)(void*,Vec,Vec),Vec,void*,PetscBool*);
1588: PETSC_EXTERN PetscErrorCode MatShellTestMultTranspose(Mat,PetscErrorCode (*)(void*,Vec,Vec),Vec,void*,PetscBool*);
1589: PETSC_EXTERN PetscErrorCode MatShellSetManageScalingShifts(Mat);

1591: /*
1592:    Codes for matrices stored on disk. By default they are
1593:    stored in a universal format. By changing the format with
1594:    PetscViewerPushFormat(viewer,PETSC_VIEWER_NATIVE); the matrices will
1595:    be stored in a way natural for the matrix, for example dense matrices
1596:    would be stored as dense. Matrices stored this way may only be
1597:    read into matrices of the same type.
1598: */
1599: #define MATRIX_BINARY_FORMAT_DENSE -1

1601: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetHashTableFactor(Mat,PetscReal);

1603: PETSC_EXTERN PetscErrorCode MatISSetLocalMatType(Mat,MatType);
1604: PETSC_EXTERN PetscErrorCode MatISSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
1605: PETSC_EXTERN PetscErrorCode MatISStoreL2L(Mat,PetscBool);
1606: PETSC_EXTERN PetscErrorCode MatISFixLocalEmpty(Mat,PetscBool);
1607: PETSC_EXTERN PetscErrorCode MatISGetLocalMat(Mat,Mat*);
1608: PETSC_EXTERN PetscErrorCode MatISRestoreLocalMat(Mat,Mat*);
1609: PETSC_EXTERN PetscErrorCode MatISSetLocalMat(Mat,Mat);
1610: PETSC_EXTERN PETSC_DEPRECATED("Use the MatConvert() interface") PetscErrorCode MatISGetMPIXAIJ(Mat,MatReuse,Mat*);

1612: /*S
1613:      MatNullSpace - Object that removes a null space from a vector, i.e.
1614:          orthogonalizes the vector to a subsapce

1616:    Level: advanced

1618:   Concepts: matrix; linear operator, null space

1620:   Users manual sections:
1621: .   Section 4.19 Solving Singular Systems

1623: .seealso:  MatNullSpaceCreate()
1624: S*/
1625: typedef struct _p_MatNullSpace* MatNullSpace;

1627: PETSC_EXTERN PetscErrorCode MatNullSpaceCreate(MPI_Comm,PetscBool ,PetscInt,const Vec[],MatNullSpace*);
1628: PETSC_EXTERN PetscErrorCode MatNullSpaceSetFunction(MatNullSpace,PetscErrorCode (*)(MatNullSpace,Vec,void*),void*);
1629: PETSC_EXTERN PetscErrorCode MatNullSpaceDestroy(MatNullSpace*);
1630: PETSC_EXTERN PetscErrorCode MatNullSpaceRemove(MatNullSpace,Vec);
1631: PETSC_EXTERN PetscErrorCode MatGetNullSpace(Mat, MatNullSpace *);
1632: PETSC_EXTERN PetscErrorCode MatGetTransposeNullSpace(Mat, MatNullSpace *);
1633: PETSC_EXTERN PetscErrorCode MatSetTransposeNullSpace(Mat,MatNullSpace);
1634: PETSC_EXTERN PetscErrorCode MatSetNullSpace(Mat,MatNullSpace);
1635: PETSC_EXTERN PetscErrorCode MatSetNearNullSpace(Mat,MatNullSpace);
1636: PETSC_EXTERN PetscErrorCode MatGetNearNullSpace(Mat,MatNullSpace*);
1637: PETSC_EXTERN PetscErrorCode MatNullSpaceTest(MatNullSpace,Mat,PetscBool  *);
1638: PETSC_EXTERN PetscErrorCode MatNullSpaceView(MatNullSpace,PetscViewer);
1639: PETSC_EXTERN PetscErrorCode MatNullSpaceGetVecs(MatNullSpace,PetscBool*,PetscInt*,const Vec**);
1640: PETSC_EXTERN PetscErrorCode MatNullSpaceCreateRigidBody(Vec,MatNullSpace*);

1642: PETSC_EXTERN PetscErrorCode MatReorderingSeqSBAIJ(Mat,IS);
1643: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetHashTableFactor(Mat,PetscReal);
1644: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetColumnIndices(Mat,PetscInt *);
1645: PETSC_EXTERN PetscErrorCode MatSeqBAIJInvertBlockDiagonal(Mat);

1647: PETSC_EXTERN PetscErrorCode MatCreateMAIJ(Mat,PetscInt,Mat*);
1648: PETSC_EXTERN PetscErrorCode MatMAIJRedimension(Mat,PetscInt,Mat*);
1649: PETSC_EXTERN PetscErrorCode MatMAIJGetAIJ(Mat,Mat*);

1651: PETSC_EXTERN PetscErrorCode MatComputeExplicitOperator(Mat,Mat*);
1652: PETSC_EXTERN PetscErrorCode MatComputeExplicitOperatorTranspose(Mat,Mat*);

1654: PETSC_EXTERN PetscErrorCode MatDiagonalScaleLocal(Mat,Vec);

1656: PETSC_EXTERN PetscErrorCode MatCreateMFFD(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,Mat*);
1657: PETSC_EXTERN PetscErrorCode MatMFFDSetBase(Mat,Vec,Vec);
1658: PETSC_EXTERN PetscErrorCode MatMFFDSetFunction(Mat,PetscErrorCode(*)(void*,Vec,Vec),void*);
1659: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioni(Mat,PetscErrorCode (*)(void*,PetscInt,Vec,PetscScalar*));
1660: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioniBase(Mat,PetscErrorCode (*)(void*,Vec));
1661: PETSC_EXTERN PetscErrorCode MatMFFDSetHHistory(Mat,PetscScalar[],PetscInt);
1662: PETSC_EXTERN PetscErrorCode MatMFFDResetHHistory(Mat);
1663: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctionError(Mat,PetscReal);
1664: PETSC_EXTERN PetscErrorCode MatMFFDSetPeriod(Mat,PetscInt);
1665: PETSC_EXTERN PetscErrorCode MatMFFDGetH(Mat,PetscScalar *);
1666: PETSC_EXTERN PetscErrorCode MatMFFDSetOptionsPrefix(Mat,const char[]);
1667: PETSC_EXTERN PetscErrorCode MatMFFDCheckPositivity(void*,Vec,Vec,PetscScalar*);
1668: PETSC_EXTERN PetscErrorCode MatMFFDSetCheckh(Mat,PetscErrorCode (*)(void*,Vec,Vec,PetscScalar*),void*);

1670: /*S
1671:     MatMFFD - A data structured used to manage the computation of the h differencing parameter for matrix-free
1672:               Jacobian vector products

1674:     Notes:
1675:     MATMFFD is a specific MatType which uses the MatMFFD data structure

1677:            MatMFFD*() methods actually take the Mat as their first argument. Not a MatMFFD data structure

1679:     Level: developer

1681: .seealso: MATMFFD, MatCreateMFFD(), MatMFFDSetFuction(), MatMFFDSetType(), MatMFFDRegister()
1682: S*/
1683: typedef struct _p_MatMFFD* MatMFFD;

1685: /*J
1686:     MatMFFDType - algorithm used to compute the h used in computing matrix-vector products via differencing of the function

1688:    Level: beginner

1690: .seealso: MatMFFDSetType(), MatMFFDRegister()
1691: J*/
1692: typedef const char* MatMFFDType;
1693: #define MATMFFD_DS  "ds"
1694: #define MATMFFD_WP  "wp"

1696: PETSC_EXTERN PetscErrorCode MatMFFDSetType(Mat,MatMFFDType);
1697: PETSC_EXTERN PetscErrorCode MatMFFDRegister(const char[],PetscErrorCode (*)(MatMFFD));

1699: PETSC_EXTERN PetscErrorCode MatMFFDDSSetUmin(Mat,PetscReal);
1700: PETSC_EXTERN PetscErrorCode MatMFFDWPSetComputeNormU(Mat,PetscBool );

1702: PETSC_EXTERN PetscErrorCode MatFDColoringSetType(MatFDColoring,MatMFFDType);

1704: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutMatrix(PetscViewer, PetscInt, PetscInt, PetscReal *);
1705: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutCSRMatrix(PetscViewer, PetscInt, PetscInt, PetscInt *, PetscInt *, PetscReal *);

1707: /*
1708:    PETSc interface to MUMPS
1709: */
1710: #ifdef PETSC_HAVE_MUMPS
1711: PETSC_EXTERN PetscErrorCode MatMumpsSetIcntl(Mat,PetscInt,PetscInt);
1712: PETSC_EXTERN PetscErrorCode MatMumpsGetIcntl(Mat,PetscInt,PetscInt*);
1713: PETSC_EXTERN PetscErrorCode MatMumpsSetCntl(Mat,PetscInt,PetscReal);
1714: PETSC_EXTERN PetscErrorCode MatMumpsGetCntl(Mat,PetscInt,PetscReal*);

1716: PETSC_EXTERN PetscErrorCode MatMumpsGetInfo(Mat,PetscInt,PetscInt*);
1717: PETSC_EXTERN PetscErrorCode MatMumpsGetInfog(Mat,PetscInt,PetscInt*);
1718: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfo(Mat,PetscInt,PetscReal*);
1719: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfog(Mat,PetscInt,PetscReal*);
1720: PETSC_EXTERN PetscErrorCode MatMumpsGetInverse(Mat,Mat);
1721: PETSC_EXTERN PetscErrorCode MatMumpsGetInverseTranspose(Mat,Mat);
1722: #endif

1724: /*
1725:    PETSc interface to Mkl_Pardiso
1726: */
1727: #ifdef PETSC_HAVE_MKL_PARDISO
1728: PETSC_EXTERN PetscErrorCode MatMkl_PardisoSetCntl(Mat,PetscInt,PetscInt);
1729: #endif

1731: /*
1732:    PETSc interface to Mkl_CPardiso
1733: */
1734: #ifdef PETSC_HAVE_MKL_CPARDISO
1735: PETSC_EXTERN PetscErrorCode MatMkl_CPardisoSetCntl(Mat,PetscInt,PetscInt);
1736: #endif

1738: /*
1739:    PETSc interface to SUPERLU
1740: */
1741: #ifdef PETSC_HAVE_SUPERLU
1742: PETSC_EXTERN PetscErrorCode MatSuperluSetILUDropTol(Mat,PetscReal);
1743: #endif

1745: /*
1746:    PETSc interface to SUPERLU_DIST
1747: */
1748: #ifdef PETSC_HAVE_SUPERLU_DIST
1749: PETSC_EXTERN PetscErrorCode MatSuperluDistGetDiagU(Mat,PetscScalar*);
1750: #endif

1752: /*
1753:    PETSc interface to STRUMPACK
1754: */
1755: #ifdef PETSC_HAVE_STRUMPACK
1756: /*E
1757:     MatSTRUMPACKReordering - sparsity reducing ordering to be used in STRUMPACK

1759:     Level: intermediate
1760: E*/
1761: typedef enum {MAT_STRUMPACK_NATURAL=0,
1762:               MAT_STRUMPACK_METIS=1,
1763:               MAT_STRUMPACK_PARMETIS=2,
1764:               MAT_STRUMPACK_SCOTCH=3,
1765:               MAT_STRUMPACK_PTSCOTCH=4,
1766:               MAT_STRUMPACK_RCM=5} MatSTRUMPACKReordering;
1767: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetReordering(Mat,MatSTRUMPACKReordering);
1768: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetColPerm(Mat,PetscBool);
1769: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSRelTol(Mat,PetscReal);
1770: PETSC_DEPRECATED ("Use MatSTRUMPACKSetHSSRelTol()") PETSC_STATIC_INLINE PetscErrorCode MatSTRUMPACKSetHSSRelCompTol(Mat mat,PetscReal rtol) {return MatSTRUMPACKSetHSSRelTol(mat,rtol);}
1771: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSAbsTol(Mat,PetscReal);
1772: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSMinSepSize(Mat,PetscInt);
1773: PETSC_DEPRECATED ("Use MatSTRUMPACKSetHSSMinSepSize()") PETSC_STATIC_INLINE PetscErrorCode MatSTRUMPACKSetHSSMinSize(Mat mat,PetscInt hssminsize) {return MatSTRUMPACKSetHSSMinSepSize(mat,hssminsize);}
1774: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSMaxRank(Mat,PetscInt);
1775: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSLeafSize(Mat,PetscInt);
1776: #endif


1779: #ifdef PETSC_HAVE_CUDA
1780: /*E
1781:     MatCUSPARSEStorageFormat - indicates the storage format for CUSPARSE (GPU)
1782:     matrices.

1784:     Not Collective

1786: +   MAT_CUSPARSE_CSR - Compressed Sparse Row
1787: .   MAT_CUSPARSE_ELL - Ellpack (requires CUDA 4.2 or later).
1788: -   MAT_CUSPARSE_HYB - Hybrid, a combination of Ellpack and Coordinate format (requires CUDA 4.2 or later).

1790:     Level: intermediate

1792:    Any additions/changes here MUST also be made in include/petsc/finclude/petscmat.h

1794: .seealso: MatCUSPARSESetFormat(), MatCUSPARSEFormatOperation
1795: E*/

1797: typedef enum {MAT_CUSPARSE_CSR, MAT_CUSPARSE_ELL, MAT_CUSPARSE_HYB} MatCUSPARSEStorageFormat;

1799: /* these will be strings associated with enumerated type defined above */
1800: PETSC_EXTERN const char *const MatCUSPARSEStorageFormats[];

1802: /*E
1803:     MatCUSPARSEFormatOperation - indicates the operation of CUSPARSE (GPU)
1804:     matrices whose operation should use a particular storage format.

1806:     Not Collective

1808: +   MAT_CUSPARSE_MULT_DIAG - sets the storage format for the diagonal matrix in the parallel MatMult
1809: .   MAT_CUSPARSE_MULT_OFFDIAG - sets the storage format for the offdiagonal matrix in the parallel MatMult
1810: .   MAT_CUSPARSE_MULT - sets the storage format for the entire matrix in the serial (single GPU) MatMult
1811: -   MAT_CUSPARSE_ALL - sets the storage format for all CUSPARSE (GPU) matrices

1813:     Level: intermediate

1815: .seealso: MatCUSPARSESetFormat(), MatCUSPARSEStorageFormat
1816: E*/
1817: typedef enum {MAT_CUSPARSE_MULT_DIAG, MAT_CUSPARSE_MULT_OFFDIAG, MAT_CUSPARSE_MULT, MAT_CUSPARSE_ALL} MatCUSPARSEFormatOperation;

1819: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCUSPARSE(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
1820: PETSC_EXTERN PetscErrorCode MatCreateAIJCUSPARSE(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
1821: PETSC_EXTERN PetscErrorCode MatCUSPARSESetFormat(Mat,MatCUSPARSEFormatOperation,MatCUSPARSEStorageFormat);
1822: #endif

1824: #if defined(PETSC_HAVE_VIENNACL)
1825: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJViennaCL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
1826: PETSC_EXTERN PetscErrorCode MatCreateAIJViennaCL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
1827: #endif

1829: /*
1830:    PETSc interface to FFTW
1831: */
1832: #if defined(PETSC_HAVE_FFTW)
1833: PETSC_EXTERN PetscErrorCode VecScatterPetscToFFTW(Mat,Vec,Vec);
1834: PETSC_EXTERN PetscErrorCode VecScatterFFTWToPetsc(Mat,Vec,Vec);
1835: PETSC_EXTERN PetscErrorCode MatCreateVecsFFTW(Mat,Vec*,Vec*,Vec*);
1836: #endif

1838: PETSC_EXTERN PetscErrorCode MatCreateNest(MPI_Comm,PetscInt,const IS[],PetscInt,const IS[],const Mat[],Mat*);
1839: PETSC_EXTERN PetscErrorCode MatNestGetSize(Mat,PetscInt*,PetscInt*);
1840: PETSC_EXTERN PetscErrorCode MatNestGetISs(Mat,IS[],IS[]);
1841: PETSC_EXTERN PetscErrorCode MatNestGetLocalISs(Mat,IS[],IS[]);
1842: PETSC_EXTERN PetscErrorCode MatNestGetSubMats(Mat,PetscInt*,PetscInt*,Mat***);
1843: PETSC_EXTERN PetscErrorCode MatNestGetSubMat(Mat,PetscInt,PetscInt,Mat*);
1844: PETSC_EXTERN PetscErrorCode MatNestSetVecType(Mat,VecType);
1845: PETSC_EXTERN PetscErrorCode MatNestSetSubMats(Mat,PetscInt,const IS[],PetscInt,const IS[],const Mat[]);
1846: PETSC_EXTERN PetscErrorCode MatNestSetSubMat(Mat,PetscInt,PetscInt,Mat);

1848: PETSC_EXTERN PetscErrorCode MatChop(Mat,PetscReal);
1849: PETSC_EXTERN PetscErrorCode MatComputeBandwidth(Mat,PetscReal,PetscInt*);

1851: PETSC_EXTERN PetscErrorCode MatSubdomainsCreateCoalesce(Mat,PetscInt,PetscInt*,IS**);

1853: PETSC_EXTERN PetscErrorCode MatPreallocatorPreallocate(Mat,PetscBool,Mat);

1855: PETSC_INTERN PetscErrorCode MatHeaderMerge(Mat,Mat*);
1856: PETSC_EXTERN PetscErrorCode MatHeaderReplace(Mat,Mat*);

1858: #endif