1 /* 2 Include file for the matrix component of PETSc 3 */ 4 #ifndef __PETSCMAT_H 5 #define __PETSCMAT_H 6 #include "petscvec.h" 7 PETSC_EXTERN_CXX_BEGIN 8 9 /*S 10 Mat - Abstract PETSc matrix object 11 12 Level: beginner 13 14 Concepts: matrix; linear operator 15 16 .seealso: MatCreate(), MatType, MatSetType() 17 S*/ 18 typedef struct _p_Mat* Mat; 19 20 /*J 21 MatType - String with the name of a PETSc matrix or the creation function 22 with an optional dynamic library name, for example 23 http://www.mcs.anl.gov/petsc/lib.a:mymatcreate() 24 25 Level: beginner 26 27 .seealso: MatSetType(), Mat, MatSolverPackage 28 J*/ 29 #define MatType char* 30 #define MATSAME "same" 31 #define MATMAIJ "maij" 32 #define MATSEQMAIJ "seqmaij" 33 #define MATMPIMAIJ "mpimaij" 34 #define MATIS "is" 35 #define MATAIJ "aij" 36 #define MATSEQAIJ "seqaij" 37 #define MATSEQAIJPTHREAD "seqaijpthread" 38 #define MATAIJPTHREAD "aijpthread" 39 #define MATMPIAIJ "mpiaij" 40 #define MATAIJCRL "aijcrl" 41 #define MATSEQAIJCRL "seqaijcrl" 42 #define MATMPIAIJCRL "mpiaijcrl" 43 #define MATAIJCUSP "aijcusp" 44 #define MATSEQAIJCUSP "seqaijcusp" 45 #define MATMPIAIJCUSP "mpiaijcusp" 46 #define MATAIJPERM "aijperm" 47 #define MATSEQAIJPERM "seqaijperm" 48 #define MATMPIAIJPERM "mpiaijperm" 49 #define MATSHELL "shell" 50 #define MATDENSE "dense" 51 #define MATSEQDENSE "seqdense" 52 #define MATMPIDENSE "mpidense" 53 #define MATBAIJ "baij" 54 #define MATSEQBAIJ "seqbaij" 55 #define MATMPIBAIJ "mpibaij" 56 #define MATMPIADJ "mpiadj" 57 #define MATSBAIJ "sbaij" 58 #define MATSEQSBAIJ "seqsbaij" 59 #define MATMPISBAIJ "mpisbaij" 60 #define MATSEQBSTRM "seqbstrm" 61 #define MATMPIBSTRM "mpibstrm" 62 #define MATBSTRM "bstrm" 63 #define MATSEQSBSTRM "seqsbstrm" 64 #define MATMPISBSTRM "mpisbstrm" 65 #define MATSBSTRM "sbstrm" 66 #define MATDAAD "daad" 67 #define MATMFFD "mffd" 68 #define MATNORMAL "normal" 69 #define MATLRC "lrc" 70 #define MATSCATTER "scatter" 71 #define MATBLOCKMAT "blockmat" 72 #define MATCOMPOSITE "composite" 73 #define MATFFT "fft" 74 #define MATFFTW "fftw" 75 #define MATSEQCUFFT "seqcufft" 76 #define MATTRANSPOSEMAT "transpose" 77 #define MATSCHURCOMPLEMENT "schurcomplement" 78 #define MATPYTHON "python" 79 #define MATHYPRESTRUCT "hyprestruct" 80 #define MATHYPRESSTRUCT "hypresstruct" 81 #define MATSUBMATRIX "submatrix" 82 #define MATLOCALREF "localref" 83 #define MATNEST "nest" 84 #define MATIJ "ij" 85 86 /*J 87 MatSolverPackage - String with the name of a PETSc matrix solver type. 88 89 For example: "petsc" indicates what PETSc provides, "superlu" indicates either 90 SuperLU or SuperLU_Dist etc. 91 92 93 Level: beginner 94 95 .seealso: MatGetFactor(), Mat, MatSetType(), MatType 96 J*/ 97 #define MatSolverPackage char* 98 #define MATSOLVERSPOOLES "spooles" 99 #define MATSOLVERSUPERLU "superlu" 100 #define MATSOLVERSUPERLU_DIST "superlu_dist" 101 #define MATSOLVERUMFPACK "umfpack" 102 #define MATSOLVERCHOLMOD "cholmod" 103 #define MATSOLVERESSL "essl" 104 #define MATSOLVERLUSOL "lusol" 105 #define MATSOLVERMUMPS "mumps" 106 #define MATSOLVERPASTIX "pastix" 107 #define MATSOLVERMATLAB "matlab" 108 #define MATSOLVERPETSC "petsc" 109 #define MATSOLVERPLAPACK "plapack" 110 #define MATSOLVERBAS "bas" 111 112 #define MATSOLVERBSTRM "bstrm" 113 #define MATSOLVERSBSTRM "sbstrm" 114 115 /*E 116 MatFactorType - indicates what type of factorization is requested 117 118 Level: beginner 119 120 Any additions/changes here MUST also be made in include/finclude/petscmat.h 121 122 .seealso: MatSolverPackage, MatGetFactor() 123 E*/ 124 typedef enum {MAT_FACTOR_NONE, MAT_FACTOR_LU, MAT_FACTOR_CHOLESKY, MAT_FACTOR_ILU, MAT_FACTOR_ICC,MAT_FACTOR_ILUDT} MatFactorType; 125 extern const char *const MatFactorTypes[]; 126 127 extern PetscErrorCode MatGetFactor(Mat,const MatSolverPackage,MatFactorType,Mat*); 128 extern PetscErrorCode MatGetFactorAvailable(Mat,const MatSolverPackage,MatFactorType,PetscBool *); 129 extern PetscErrorCode MatFactorGetSolverPackage(Mat,const MatSolverPackage*); 130 extern PetscErrorCode MatGetFactorType(Mat,MatFactorType*); 131 132 /* Logging support */ 133 #define MAT_FILE_CLASSID 1211216 /* used to indicate matrices in binary files */ 134 extern PetscClassId MAT_CLASSID; 135 extern PetscClassId MAT_FDCOLORING_CLASSID; 136 extern PetscClassId MAT_PARTITIONING_CLASSID; 137 extern PetscClassId MAT_NULLSPACE_CLASSID; 138 extern PetscClassId MATMFFD_CLASSID; 139 140 /*E 141 MatReuse - Indicates if matrices obtained from a previous call to MatGetSubMatrices() 142 or MatGetSubMatrix() are to be reused to store the new matrix values. For MatConvert() is used to indicate 143 that the input matrix is to be replaced with the converted matrix. 144 145 Level: beginner 146 147 Any additions/changes here MUST also be made in include/finclude/petscmat.h 148 149 .seealso: MatGetSubMatrices(), MatGetSubMatrix(), MatDestroyMatrices(), MatConvert() 150 E*/ 151 typedef enum {MAT_INITIAL_MATRIX,MAT_REUSE_MATRIX,MAT_IGNORE_MATRIX} MatReuse; 152 153 /*E 154 MatGetSubMatrixOption - Indicates if matrices obtained from a call to MatGetSubMatrices() 155 include the matrix values. Currently it is only used by MatGetSeqNonzerostructure(). 156 157 Level: beginner 158 159 .seealso: MatGetSeqNonzerostructure() 160 E*/ 161 typedef enum {MAT_DO_NOT_GET_VALUES,MAT_GET_VALUES} MatGetSubMatrixOption; 162 163 extern PetscErrorCode MatInitializePackage(const char[]); 164 165 extern PetscErrorCode MatCreate(MPI_Comm,Mat*); 166 PetscPolymorphicFunction(MatCreate,(MPI_Comm comm),(comm,&A),Mat,A) 167 PetscPolymorphicFunction(MatCreate,(),(PETSC_COMM_WORLD,&A),Mat,A) 168 extern PetscErrorCode MatSetSizes(Mat,PetscInt,PetscInt,PetscInt,PetscInt); 169 extern PetscErrorCode MatSetType(Mat,const MatType); 170 extern PetscErrorCode MatSetFromOptions(Mat); 171 extern PetscErrorCode MatSetUpPreallocation(Mat); 172 extern PetscErrorCode MatRegisterAll(const char[]); 173 extern PetscErrorCode MatRegister(const char[],const char[],const char[],PetscErrorCode(*)(Mat)); 174 extern PetscErrorCode MatRegisterBaseName(const char[],const char[],const char[]); 175 extern PetscErrorCode MatSetOptionsPrefix(Mat,const char[]); 176 extern PetscErrorCode MatAppendOptionsPrefix(Mat,const char[]); 177 extern PetscErrorCode MatGetOptionsPrefix(Mat,const char*[]); 178 179 /*MC 180 MatRegisterDynamic - Adds a new matrix type 181 182 Synopsis: 183 PetscErrorCode MatRegisterDynamic(const char *name,const char *path,const char *name_create,PetscErrorCode (*routine_create)(Mat)) 184 185 Not Collective 186 187 Input Parameters: 188 + name - name of a new user-defined matrix type 189 . path - path (either absolute or relative) the library containing this solver 190 . name_create - name of routine to create method context 191 - routine_create - routine to create method context 192 193 Notes: 194 MatRegisterDynamic() may be called multiple times to add several user-defined solvers. 195 196 If dynamic libraries are used, then the fourth input argument (routine_create) 197 is ignored. 198 199 Sample usage: 200 .vb 201 MatRegisterDynamic("my_mat",/home/username/my_lib/lib/libO/solaris/mylib.a, 202 "MyMatCreate",MyMatCreate); 203 .ve 204 205 Then, your solver can be chosen with the procedural interface via 206 $ MatSetType(Mat,"my_mat") 207 or at runtime via the option 208 $ -mat_type my_mat 209 210 Level: advanced 211 212 Notes: ${PETSC_ARCH} occuring in pathname will be replaced with appropriate values. 213 If your function is not being put into a shared library then use VecRegister() instead 214 215 .keywords: Mat, register 216 217 .seealso: MatRegisterAll(), MatRegisterDestroy() 218 219 M*/ 220 #if defined(PETSC_USE_DYNAMIC_LIBRARIES) 221 #define MatRegisterDynamic(a,b,c,d) MatRegister(a,b,c,0) 222 #else 223 #define MatRegisterDynamic(a,b,c,d) MatRegister(a,b,c,d) 224 #endif 225 226 extern PetscBool MatRegisterAllCalled; 227 extern PetscFList MatList; 228 extern PetscFList MatColoringList; 229 extern PetscFList MatPartitioningList; 230 231 /*E 232 MatStructure - Indicates if the matrix has the same nonzero structure 233 234 Level: beginner 235 236 Any additions/changes here MUST also be made in include/finclude/petscmat.h 237 238 .seealso: MatCopy(), KSPSetOperators(), PCSetOperators() 239 E*/ 240 typedef enum {DIFFERENT_NONZERO_PATTERN,SUBSET_NONZERO_PATTERN,SAME_NONZERO_PATTERN,SAME_PRECONDITIONER} MatStructure; 241 242 extern PetscErrorCode MatCreateSeqDense(MPI_Comm,PetscInt,PetscInt,PetscScalar[],Mat*); 243 extern PetscErrorCode MatCreateMPIDense(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscScalar[],Mat*); 244 extern PetscErrorCode MatCreateSeqAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*); 245 PetscPolymorphicFunction(MatCreateSeqAIJ,(PetscInt m,PetscInt n,PetscInt nz,const PetscInt nnz[]),(PETSC_COMM_SELF,m,n,nz,nnz,&A),Mat,A) 246 PetscPolymorphicFunction(MatCreateSeqAIJ,(PetscInt m,PetscInt n,PetscInt nz),(PETSC_COMM_SELF,m,n,nz,PETSC_NULL,&A),Mat,A) 247 PetscPolymorphicFunction(MatCreateSeqAIJ,(PetscInt m,PetscInt n,const PetscInt nnz[]),(PETSC_COMM_SELF,m,n,0,nnz,&A),Mat,A) 248 PetscPolymorphicFunction(MatCreateSeqAIJ,(PetscInt m,PetscInt n),(PETSC_COMM_SELF,m,n,0,PETSC_NULL,&A),Mat,A) 249 PetscPolymorphicSubroutine(MatCreateSeqAIJ,(PetscInt m,PetscInt n,PetscInt nz,Mat *A),(PETSC_COMM_SELF,m,n,nz,PETSC_NULL,A)) 250 PetscPolymorphicSubroutine(MatCreateSeqAIJ,(PetscInt m,PetscInt n,const PetscInt nnz[],Mat *A),(PETSC_COMM_SELF,m,n,0,nnz,A)) 251 PetscPolymorphicSubroutine(MatCreateSeqAIJ,(PetscInt m,PetscInt n,Mat *A),(PETSC_COMM_SELF,m,n,0,PETSC_NULL,A)) 252 extern PetscErrorCode MatCreateMPIAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*); 253 PetscPolymorphicFunction(MatCreateMPIAIJ,(MPI_Comm comm,PetscInt m,PetscInt n,PetscInt M,PetscInt N,PetscInt nz,const PetscInt nnz[],PetscInt onz,const PetscInt onnz[]),(comm,m,n,M,N,nz,nnz,onz,onnz,&A),Mat,A) 254 PetscPolymorphicFunction(MatCreateMPIAIJ,(MPI_Comm comm,PetscInt m,PetscInt n,PetscInt M,PetscInt N,PetscInt nz,PetscInt nnz),(comm,m,n,M,N,nz,PETSC_NULL,nnz,PETSC_NULL,&A),Mat,A) 255 PetscPolymorphicFunction(MatCreateMPIAIJ,(MPI_Comm comm,PetscInt m,PetscInt n,PetscInt M,PetscInt N,const PetscInt nnz[],const PetscInt onz[]),(comm,m,n,M,N,0,nnz,0,onz,&A),Mat,A) 256 PetscPolymorphicFunction(MatCreateMPIAIJ,(MPI_Comm comm,PetscInt m,PetscInt n,PetscInt M,PetscInt N),(comm,m,n,M,N,0,PETSC_NULL,0,PETSC_NULL,&A),Mat,A) 257 PetscPolymorphicSubroutine(MatCreateMPIAIJ,(MPI_Comm comm,PetscInt m,PetscInt n,PetscInt M,PetscInt N,PetscInt nz,PetscInt nnz,Mat *A),(comm,m,n,M,N,nz,PETSC_NULL,nnz,PETSC_NULL,A)) 258 PetscPolymorphicSubroutine(MatCreateMPIAIJ,(MPI_Comm comm,PetscInt m,PetscInt n,PetscInt M,PetscInt N,const PetscInt nnz[],const PetscInt onz[],Mat *A),(comm,m,n,M,N,0,nnz,0,onz,A)) 259 PetscPolymorphicSubroutine(MatCreateMPIAIJ,(MPI_Comm comm,PetscInt m,PetscInt n,PetscInt M,PetscInt N,Mat *A),(comm,m,n,M,N,0,PETSC_NULL,0,PETSC_NULL,A)) 260 PetscPolymorphicFunction(MatCreateMPIAIJ,(PetscInt m,PetscInt n,PetscInt M,PetscInt N,PetscInt nz,const PetscInt nnz[],PetscInt onz,const PetscInt onnz[]),(PETSC_COMM_WORLD,m,n,M,N,nz,nnz,onz,onnz,&A),Mat,A) 261 PetscPolymorphicFunction(MatCreateMPIAIJ,(PetscInt m,PetscInt n,PetscInt M,PetscInt N,PetscInt nz,PetscInt nnz),(PETSC_COMM_WORLD,m,n,M,N,nz,PETSC_NULL,nnz,PETSC_NULL,&A),Mat,A) 262 PetscPolymorphicFunction(MatCreateMPIAIJ,(PetscInt m,PetscInt n,PetscInt M,PetscInt N,const PetscInt nnz[],const PetscInt onz[]),(PETSC_COMM_WORLD,m,n,M,N,0,nnz,0,onz,&A),Mat,A) 263 PetscPolymorphicFunction(MatCreateMPIAIJ,(PetscInt m,PetscInt n,PetscInt M,PetscInt N),(PETSC_COMM_WORLD,m,n,M,N,0,PETSC_NULL,0,PETSC_NULL,&A),Mat,A) 264 PetscPolymorphicSubroutine(MatCreateMPIAIJ,(PetscInt m,PetscInt n,PetscInt M,PetscInt N,PetscInt nz,PetscInt nnz,Mat *A),(PETSC_COMM_WORLD,m,n,M,N,nz,PETSC_NULL,nnz,PETSC_NULL,A)) 265 PetscPolymorphicSubroutine(MatCreateMPIAIJ,(PetscInt m,PetscInt n,PetscInt M,PetscInt N,const PetscInt nnz[],const PetscInt onz[],Mat *A),(PETSC_COMM_WORLD,m,n,M,N,0,nnz,0,onz,A)) 266 PetscPolymorphicSubroutine(MatCreateMPIAIJ,(PetscInt m,PetscInt n,PetscInt M,PetscInt N,Mat *A),(PETSC_COMM_WORLD,m,n,M,N,0,PETSC_NULL,0,PETSC_NULL,A)) 267 extern PetscErrorCode MatCreateMPIAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat *); 268 extern PetscErrorCode MatCreateMPIAIJWithSplitArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],PetscInt[],PetscInt[],PetscScalar[],Mat*); 269 270 extern PetscErrorCode MatCreateSeqBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*); 271 PetscPolymorphicFunction(MatCreateSeqBAIJ,(PetscInt bs,PetscInt m,PetscInt n,PetscInt nz,const PetscInt nnz[]),(PETSC_COMM_SELF,bs,m,n,nz,nnz,&A),Mat,A) 272 PetscPolymorphicFunction(MatCreateSeqBAIJ,(PetscInt bs,PetscInt m,PetscInt n,PetscInt nz),(PETSC_COMM_SELF,bs,m,n,nz,PETSC_NULL,&A),Mat,A) 273 PetscPolymorphicFunction(MatCreateSeqBAIJ,(PetscInt bs,PetscInt m,PetscInt n,const PetscInt nnz[]),(PETSC_COMM_SELF,bs,m,n,0,nnz,&A),Mat,A) 274 PetscPolymorphicFunction(MatCreateSeqBAIJ,(PetscInt bs,PetscInt m,PetscInt n),(PETSC_COMM_SELF,bs,m,n,0,PETSC_NULL,&A),Mat,A) 275 PetscPolymorphicSubroutine(MatCreateSeqBAIJ,(PetscInt bs,PetscInt m,PetscInt n,PetscInt nz,Mat *A),(PETSC_COMM_SELF,bs,m,n,nz,PETSC_NULL,A)) 276 PetscPolymorphicSubroutine(MatCreateSeqBAIJ,(PetscInt bs,PetscInt m,PetscInt n,const PetscInt nnz[],Mat *A),(PETSC_COMM_SELF,bs,m,n,0,nnz,A)) 277 PetscPolymorphicSubroutine(MatCreateSeqBAIJ,(PetscInt bs,PetscInt m,PetscInt n,Mat *A),(PETSC_COMM_SELF,bs,m,n,0,PETSC_NULL,A)) 278 extern PetscErrorCode MatCreateMPIBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*); 279 PetscPolymorphicFunction(MatCreateMPIBAIJ,(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,PetscInt nz,const PetscInt nnz[],PetscInt onz,const PetscInt onnz[]),(comm,bs,m,n,M,N,nz,nnz,onz,onnz,&A),Mat,A) 280 PetscPolymorphicFunction(MatCreateMPIBAIJ,(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,PetscInt nz,PetscInt nnz),(comm,bs,m,n,M,N,nz,PETSC_NULL,nnz,PETSC_NULL,&A),Mat,A) 281 PetscPolymorphicFunction(MatCreateMPIBAIJ,(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,const PetscInt nnz[],const PetscInt onz[]),(comm,bs,m,n,M,N,0,nnz,0,onz,&A),Mat,A) 282 PetscPolymorphicFunction(MatCreateMPIBAIJ,(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N),(comm,bs,m,n,M,N,0,PETSC_NULL,0,PETSC_NULL,&A),Mat,A) 283 PetscPolymorphicSubroutine(MatCreateMPIBAIJ,(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,PetscInt nz,PetscInt nnz,Mat *A),(comm,bs,m,n,M,N,nz,PETSC_NULL,nnz,PETSC_NULL,A)) 284 PetscPolymorphicSubroutine(MatCreateMPIBAIJ,(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,const PetscInt nnz[],const PetscInt onz[],Mat *A),(comm,bs,m,n,M,N,0,nnz,0,onz,A)) 285 PetscPolymorphicSubroutine(MatCreateMPIBAIJ,(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,Mat *A),(comm,bs,m,n,M,N,0,PETSC_NULL,0,PETSC_NULL,A)) 286 PetscPolymorphicFunction(MatCreateMPIBAIJ,(PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,PetscInt nz,const PetscInt nnz[],PetscInt onz,const PetscInt onnz[]),(PETSC_COMM_WORLD,bs,m,n,M,N,nz,nnz,onz,onnz,&A),Mat,A) 287 PetscPolymorphicFunction(MatCreateMPIBAIJ,(PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,PetscInt nz,PetscInt nnz),(PETSC_COMM_WORLD,bs,m,n,M,N,nz,PETSC_NULL,nnz,PETSC_NULL,&A),Mat,A) 288 PetscPolymorphicFunction(MatCreateMPIBAIJ,(PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,const PetscInt nnz[],const PetscInt onz[]),(PETSC_COMM_WORLD,bs,m,n,M,N,0,nnz,0,onz,&A),Mat,A) 289 PetscPolymorphicFunction(MatCreateMPIBAIJ,(PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N),(PETSC_COMM_WORLD,bs,m,n,M,N,0,PETSC_NULL,0,PETSC_NULL,&A),Mat,A) 290 PetscPolymorphicSubroutine(MatCreateMPIBAIJ,(PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,PetscInt nz,PetscInt nnz,Mat *A),(PETSC_COMM_WORLD,bs,m,n,M,N,nz,PETSC_NULL,nnz,PETSC_NULL,A)) 291 PetscPolymorphicSubroutine(MatCreateMPIBAIJ,(PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,const PetscInt nnz[],const PetscInt onz[],Mat *A),(PETSC_COMM_WORLD,bs,m,n,M,N,0,nnz,0,onz,A)) 292 PetscPolymorphicSubroutine(MatCreateMPIBAIJ,(PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,Mat *A),(PETSC_COMM_WORLD,bs,m,n,M,N,0,PETSC_NULL,0,PETSC_NULL,A)) 293 extern PetscErrorCode MatCreateMPIBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat*); 294 295 extern PetscErrorCode MatCreateMPIAdj(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscInt[],Mat*); 296 extern PetscErrorCode MatCreateSeqSBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*); 297 PetscPolymorphicFunction(MatCreateSeqSBAIJ,(PetscInt bs,PetscInt m,PetscInt n,PetscInt nz,const PetscInt nnz[]),(PETSC_COMM_SELF,bs,m,n,nz,nnz,&A),Mat,A) 298 PetscPolymorphicFunction(MatCreateSeqSBAIJ,(PetscInt bs,PetscInt m,PetscInt n,PetscInt nz),(PETSC_COMM_SELF,bs,m,n,nz,PETSC_NULL,&A),Mat,A) 299 PetscPolymorphicFunction(MatCreateSeqSBAIJ,(PetscInt bs,PetscInt m,PetscInt n,const PetscInt nnz[]),(PETSC_COMM_SELF,bs,m,n,0,nnz,&A),Mat,A) 300 PetscPolymorphicFunction(MatCreateSeqSBAIJ,(PetscInt bs,PetscInt m,PetscInt n),(PETSC_COMM_SELF,bs,m,n,0,PETSC_NULL,&A),Mat,A) 301 PetscPolymorphicSubroutine(MatCreateSeqSBAIJ,(PetscInt bs,PetscInt m,PetscInt n,PetscInt nz,Mat *A),(PETSC_COMM_SELF,bs,m,n,nz,PETSC_NULL,A)) 302 PetscPolymorphicSubroutine(MatCreateSeqSBAIJ,(PetscInt bs,PetscInt m,PetscInt n,const PetscInt nnz[],Mat *A),(PETSC_COMM_SELF,bs,m,n,0,nnz,A)) 303 PetscPolymorphicSubroutine(MatCreateSeqSBAIJ,(PetscInt bs,PetscInt m,PetscInt n,Mat *A),(PETSC_COMM_SELF,bs,m,n,0,PETSC_NULL,A)) 304 305 extern PetscErrorCode MatCreateMPISBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*); 306 PetscPolymorphicFunction(MatCreateMPISBAIJ,(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,PetscInt nz,const PetscInt nnz[],PetscInt onz,const PetscInt onnz[]),(comm,bs,m,n,M,N,nz,nnz,onz,onnz,&A),Mat,A) 307 PetscPolymorphicFunction(MatCreateMPISBAIJ,(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,PetscInt nz,PetscInt nnz),(comm,bs,m,n,M,N,nz,PETSC_NULL,nnz,PETSC_NULL,&A),Mat,A) 308 PetscPolymorphicFunction(MatCreateMPISBAIJ,(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,const PetscInt nnz[],const PetscInt onz[]),(comm,bs,m,n,M,N,0,nnz,0,onz,&A),Mat,A) 309 PetscPolymorphicFunction(MatCreateMPISBAIJ,(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N),(comm,bs,m,n,M,N,0,PETSC_NULL,0,PETSC_NULL,&A),Mat,A) 310 PetscPolymorphicSubroutine(MatCreateMPISBAIJ,(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,PetscInt nz,PetscInt nnz,Mat *A),(comm,bs,m,n,M,N,nz,PETSC_NULL,nnz,PETSC_NULL,A)) 311 PetscPolymorphicSubroutine(MatCreateMPISBAIJ,(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,const PetscInt nnz[],const PetscInt onz[],Mat *A),(comm,bs,m,n,M,N,0,nnz,0,onz,A)) 312 PetscPolymorphicSubroutine(MatCreateMPISBAIJ,(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,Mat *A),(comm,bs,m,n,M,N,0,PETSC_NULL,0,PETSC_NULL,A)) 313 PetscPolymorphicFunction(MatCreateMPISBAIJ,(PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,PetscInt nz,const PetscInt nnz[],PetscInt onz,const PetscInt onnz[]),(PETSC_COMM_WORLD,bs,m,n,M,N,nz,nnz,onz,onnz,&A),Mat,A) 314 PetscPolymorphicFunction(MatCreateMPISBAIJ,(PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,PetscInt nz,PetscInt nnz),(PETSC_COMM_WORLD,bs,m,n,M,N,nz,PETSC_NULL,nnz,PETSC_NULL,&A),Mat,A) 315 PetscPolymorphicFunction(MatCreateMPISBAIJ,(PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,const PetscInt nnz[],const PetscInt onz[]),(PETSC_COMM_WORLD,bs,m,n,M,N,0,nnz,0,onz,&A),Mat,A) 316 PetscPolymorphicFunction(MatCreateMPISBAIJ,(PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N),(PETSC_COMM_WORLD,bs,m,n,M,N,0,PETSC_NULL,0,PETSC_NULL,&A),Mat,A) 317 PetscPolymorphicSubroutine(MatCreateMPISBAIJ,(PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,PetscInt nz,PetscInt nnz,Mat *A),(PETSC_COMM_WORLD,bs,m,n,M,N,nz,PETSC_NULL,nnz,PETSC_NULL,A)) 318 PetscPolymorphicSubroutine(MatCreateMPISBAIJ,(PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,const PetscInt nnz[],const PetscInt onz[],Mat *A),(PETSC_COMM_WORLD,bs,m,n,M,N,0,nnz,0,onz,A)) 319 PetscPolymorphicSubroutine(MatCreateMPISBAIJ,(PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,Mat *A),(PETSC_COMM_WORLD,bs,m,n,M,N,0,PETSC_NULL,0,PETSC_NULL,A)) 320 extern PetscErrorCode MatCreateMPISBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat *); 321 extern PetscErrorCode MatMPISBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]); 322 323 extern PetscErrorCode MatCreateShell(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,void *,Mat*); 324 PetscPolymorphicFunction(MatCreateShell,(MPI_Comm comm,PetscInt m,PetscInt n,PetscInt M,PetscInt N,void *ctx),(comm,m,n,M,N,ctx,&A),Mat,A) 325 PetscPolymorphicFunction(MatCreateShell,(PetscInt m,PetscInt n,PetscInt M,PetscInt N,void *ctx),(PETSC_COMM_WORLD,m,n,M,N,ctx,&A),Mat,A) 326 extern PetscErrorCode MatCreateAdic(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,void (*)(void),Mat*); 327 extern PetscErrorCode MatCreateNormal(Mat,Mat*); 328 PetscPolymorphicFunction(MatCreateNormal,(Mat mat),(mat,&A),Mat,A) 329 extern PetscErrorCode MatCreateLRC(Mat,Mat,Mat,Mat*); 330 extern PetscErrorCode MatCreateIS(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,ISLocalToGlobalMapping,Mat*); 331 extern PetscErrorCode MatCreateSeqAIJCRL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*); 332 extern PetscErrorCode MatCreateMPIAIJCRL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*); 333 334 extern PetscErrorCode MatCreateSeqBSTRM(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*); 335 extern PetscErrorCode MatCreateMPIBSTRM(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*); 336 extern PetscErrorCode MatCreateSeqSBSTRM(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*); 337 extern PetscErrorCode MatCreateMPISBSTRM(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*); 338 339 extern PetscErrorCode MatCreateScatter(MPI_Comm,VecScatter,Mat*); 340 extern PetscErrorCode MatScatterSetVecScatter(Mat,VecScatter); 341 extern PetscErrorCode MatScatterGetVecScatter(Mat,VecScatter*); 342 extern PetscErrorCode MatCreateBlockMat(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt*,Mat*); 343 extern PetscErrorCode MatCompositeAddMat(Mat,Mat); 344 extern PetscErrorCode MatCompositeMerge(Mat); 345 extern PetscErrorCode MatCreateComposite(MPI_Comm,PetscInt,const Mat*,Mat*); 346 typedef enum {MAT_COMPOSITE_ADDITIVE,MAT_COMPOSITE_MULTIPLICATIVE} MatCompositeType; 347 extern PetscErrorCode MatCompositeSetType(Mat,MatCompositeType); 348 349 extern PetscErrorCode MatCreateFFT(MPI_Comm,PetscInt,const PetscInt[],const MatType,Mat*); 350 extern PetscErrorCode MatCreateSeqCUFFT(MPI_Comm,PetscInt,const PetscInt[],Mat*); 351 352 extern PetscErrorCode MatCreateTranspose(Mat,Mat*); 353 extern PetscErrorCode MatCreateSubMatrix(Mat,IS,IS,Mat*); 354 extern PetscErrorCode MatSubMatrixUpdate(Mat,Mat,IS,IS); 355 extern PetscErrorCode MatCreateLocalRef(Mat,IS,IS,Mat*); 356 357 extern PetscErrorCode MatPythonSetType(Mat,const char[]); 358 359 extern PetscErrorCode MatSetUp(Mat); 360 extern PetscErrorCode MatDestroy(Mat*); 361 362 extern PetscErrorCode MatConjugate(Mat); 363 extern PetscErrorCode MatRealPart(Mat); 364 extern PetscErrorCode MatImaginaryPart(Mat); 365 extern PetscErrorCode MatGetDiagonalBlock(Mat,Mat*); 366 extern PetscErrorCode MatGetTrace(Mat,PetscScalar*); 367 extern PetscErrorCode MatInvertBlockDiagonal(Mat,PetscScalar **); 368 369 /* ------------------------------------------------------------*/ 370 extern PetscErrorCode MatSetValues(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode); 371 extern PetscErrorCode MatSetValuesBlocked(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode); 372 extern PetscErrorCode MatSetValuesRow(Mat,PetscInt,const PetscScalar[]); 373 extern PetscErrorCode MatSetValuesRowLocal(Mat,PetscInt,const PetscScalar[]); 374 extern PetscErrorCode MatSetValuesBatch(Mat,PetscInt,PetscInt,PetscInt[],const PetscScalar[]); 375 376 /*S 377 MatStencil - Data structure (C struct) for storing information about a single row or 378 column of a matrix as index on an associated grid. 379 380 Level: beginner 381 382 Concepts: matrix; linear operator 383 384 .seealso: MatSetValuesStencil(), MatSetStencil(), MatSetValuesBlockStencil() 385 S*/ 386 typedef struct { 387 PetscInt k,j,i,c; 388 } MatStencil; 389 390 extern PetscErrorCode MatSetValuesStencil(Mat,PetscInt,const MatStencil[],PetscInt,const MatStencil[],const PetscScalar[],InsertMode); 391 extern PetscErrorCode MatSetValuesBlockedStencil(Mat,PetscInt,const MatStencil[],PetscInt,const MatStencil[],const PetscScalar[],InsertMode); 392 extern PetscErrorCode MatSetStencil(Mat,PetscInt,const PetscInt[],const PetscInt[],PetscInt); 393 394 extern PetscErrorCode MatSetColoring(Mat,ISColoring); 395 extern PetscErrorCode MatSetValuesAdic(Mat,void*); 396 extern PetscErrorCode MatSetValuesAdifor(Mat,PetscInt,void*); 397 398 /*E 399 MatAssemblyType - Indicates if the matrix is now to be used, or if you plan 400 to continue to add values to it 401 402 Level: beginner 403 404 .seealso: MatAssemblyBegin(), MatAssemblyEnd() 405 E*/ 406 typedef enum {MAT_FLUSH_ASSEMBLY=1,MAT_FINAL_ASSEMBLY=0} MatAssemblyType; 407 extern PetscErrorCode MatAssemblyBegin(Mat,MatAssemblyType); 408 extern PetscErrorCode MatAssemblyEnd(Mat,MatAssemblyType); 409 extern PetscErrorCode MatAssembled(Mat,PetscBool *); 410 411 412 413 /*E 414 MatOption - Options that may be set for a matrix and its behavior or storage 415 416 Level: beginner 417 418 Any additions/changes here MUST also be made in include/finclude/petscmat.h 419 420 .seealso: MatSetOption() 421 E*/ 422 typedef enum {MAT_ROW_ORIENTED,MAT_NEW_NONZERO_LOCATIONS, 423 MAT_SYMMETRIC, 424 MAT_STRUCTURALLY_SYMMETRIC, 425 MAT_NEW_DIAGONALS,MAT_IGNORE_OFF_PROC_ENTRIES, 426 MAT_NEW_NONZERO_LOCATION_ERR, 427 MAT_NEW_NONZERO_ALLOCATION_ERR,MAT_USE_HASH_TABLE, 428 MAT_KEEP_NONZERO_PATTERN,MAT_IGNORE_ZERO_ENTRIES, 429 MAT_USE_INODES, 430 MAT_HERMITIAN, 431 MAT_SYMMETRY_ETERNAL, 432 MAT_CHECK_COMPRESSED_ROW, 433 MAT_IGNORE_LOWER_TRIANGULAR,MAT_ERROR_LOWER_TRIANGULAR, 434 MAT_GETROW_UPPERTRIANGULAR,MAT_UNUSED_NONZERO_LOCATION_ERR, 435 MAT_SPD,MAT_NO_OFF_PROC_ENTRIES,MAT_NO_OFF_PROC_ZERO_ROWS, 436 NUM_MAT_OPTIONS} MatOption; 437 extern const char *MatOptions[]; 438 extern PetscErrorCode MatSetOption(Mat,MatOption,PetscBool ); 439 extern PetscErrorCode MatGetType(Mat,const MatType*); 440 PetscPolymorphicFunction(MatGetType,(Mat mat),(mat,&t),const MatType,t) 441 442 extern PetscErrorCode MatGetValues(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],PetscScalar[]); 443 extern PetscErrorCode MatGetRow(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]); 444 extern PetscErrorCode MatRestoreRow(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]); 445 extern PetscErrorCode MatGetRowUpperTriangular(Mat); 446 extern PetscErrorCode MatRestoreRowUpperTriangular(Mat); 447 extern PetscErrorCode MatGetColumn(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]); 448 extern PetscErrorCode MatRestoreColumn(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]); 449 extern PetscErrorCode MatGetColumnVector(Mat,Vec,PetscInt); 450 extern PetscErrorCode MatGetArray(Mat,PetscScalar *[]); 451 PetscPolymorphicFunction(MatGetArray,(Mat mat),(mat,&a),PetscScalar*,a) 452 extern PetscErrorCode MatRestoreArray(Mat,PetscScalar *[]); 453 extern PetscErrorCode MatGetBlockSize(Mat,PetscInt *); 454 PetscPolymorphicFunction(MatGetBlockSize,(Mat mat),(mat,&a),PetscInt,a) 455 extern PetscErrorCode MatSetBlockSize(Mat,PetscInt); 456 457 458 extern PetscErrorCode MatMult(Mat,Vec,Vec); 459 extern PetscErrorCode MatMultDiagonalBlock(Mat,Vec,Vec); 460 extern PetscErrorCode MatMultAdd(Mat,Vec,Vec,Vec); 461 PetscPolymorphicSubroutine(MatMultAdd,(Mat A,Vec x,Vec y),(A,x,y,y)) 462 extern PetscErrorCode MatMultTranspose(Mat,Vec,Vec); 463 extern PetscErrorCode MatMultHermitianTranspose(Mat,Vec,Vec); 464 extern PetscErrorCode MatIsTranspose(Mat,Mat,PetscReal,PetscBool *); 465 PetscPolymorphicFunction(MatIsTranspose,(Mat A,Mat B,PetscReal tol),(A,B,tol,&t),PetscBool ,t) 466 PetscPolymorphicFunction(MatIsTranspose,(Mat A,Mat B),(A,B,0,&t),PetscBool ,t) 467 extern PetscErrorCode MatIsHermitianTranspose(Mat,Mat,PetscReal,PetscBool *); 468 extern PetscErrorCode MatMultTransposeAdd(Mat,Vec,Vec,Vec); 469 extern PetscErrorCode MatMultHermitianTransposeAdd(Mat,Vec,Vec,Vec); 470 PetscPolymorphicSubroutine(MatMultTransposeAdd,(Mat A,Vec x,Vec y),(A,x,y,y)) 471 extern PetscErrorCode MatMultConstrained(Mat,Vec,Vec); 472 extern PetscErrorCode MatMultTransposeConstrained(Mat,Vec,Vec); 473 extern PetscErrorCode MatMatSolve(Mat,Mat,Mat); 474 475 /*E 476 MatDuplicateOption - Indicates if a duplicated sparse matrix should have 477 its numerical values copied over or just its nonzero structure. 478 479 Level: beginner 480 481 Any additions/changes here MUST also be made in include/finclude/petscmat.h 482 483 $ MAT_SHARE_NONZERO_PATTERN - the i and j arrays in the new matrix will be shared with the original matrix 484 $ this also triggers the MAT_DO_NOT_COPY_VALUES option. This is used when you 485 $ have several matrices with the same nonzero pattern. 486 487 .seealso: MatDuplicate() 488 E*/ 489 typedef enum {MAT_DO_NOT_COPY_VALUES,MAT_COPY_VALUES,MAT_SHARE_NONZERO_PATTERN} MatDuplicateOption; 490 491 extern PetscErrorCode MatConvert(Mat,const MatType,MatReuse,Mat*); 492 PetscPolymorphicFunction(MatConvert,(Mat A,const MatType t),(A,t,MAT_INITIAL_MATRIX,&a),Mat,a) 493 extern PetscErrorCode MatDuplicate(Mat,MatDuplicateOption,Mat*); 494 PetscPolymorphicFunction(MatDuplicate,(Mat A,MatDuplicateOption o),(A,o,&a),Mat,a) 495 PetscPolymorphicFunction(MatDuplicate,(Mat A),(A,MAT_COPY_VALUES,&a),Mat,a) 496 497 498 extern PetscErrorCode MatCopy(Mat,Mat,MatStructure); 499 extern PetscErrorCode MatView(Mat,PetscViewer); 500 extern PetscErrorCode MatIsSymmetric(Mat,PetscReal,PetscBool *); 501 PetscPolymorphicFunction(MatIsSymmetric,(Mat A,PetscReal tol),(A,tol,&t),PetscBool ,t) 502 PetscPolymorphicFunction(MatIsSymmetric,(Mat A),(A,0,&t),PetscBool ,t) 503 extern PetscErrorCode MatIsStructurallySymmetric(Mat,PetscBool *); 504 PetscPolymorphicFunction(MatIsStructurallySymmetric,(Mat A),(A,&t),PetscBool ,t) 505 extern PetscErrorCode MatIsHermitian(Mat,PetscReal,PetscBool *); 506 PetscPolymorphicFunction(MatIsHermitian,(Mat A),(A,0,&t),PetscBool ,t) 507 extern PetscErrorCode MatIsSymmetricKnown(Mat,PetscBool *,PetscBool *); 508 extern PetscErrorCode MatIsHermitianKnown(Mat,PetscBool *,PetscBool *); 509 extern PetscErrorCode MatMissingDiagonal(Mat,PetscBool *,PetscInt *); 510 extern PetscErrorCode MatLoad(Mat, PetscViewer); 511 512 extern PetscErrorCode MatGetRowIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,PetscInt *[],PetscInt *[],PetscBool *); 513 extern PetscErrorCode MatRestoreRowIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt *,PetscInt *[],PetscInt *[],PetscBool *); 514 extern PetscErrorCode MatGetColumnIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,PetscInt *[],PetscInt *[],PetscBool *); 515 extern PetscErrorCode MatRestoreColumnIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt *,PetscInt *[],PetscInt *[],PetscBool *); 516 517 /*S 518 MatInfo - Context of matrix information, used with MatGetInfo() 519 520 In Fortran this is simply a double precision array of dimension MAT_INFO_SIZE 521 522 Level: intermediate 523 524 Concepts: matrix^nonzero information 525 526 .seealso: MatGetInfo(), MatInfoType 527 S*/ 528 typedef struct { 529 PetscLogDouble block_size; /* block size */ 530 PetscLogDouble nz_allocated,nz_used,nz_unneeded; /* number of nonzeros */ 531 PetscLogDouble memory; /* memory allocated */ 532 PetscLogDouble assemblies; /* number of matrix assemblies called */ 533 PetscLogDouble mallocs; /* number of mallocs during MatSetValues() */ 534 PetscLogDouble fill_ratio_given,fill_ratio_needed; /* fill ratio for LU/ILU */ 535 PetscLogDouble factor_mallocs; /* number of mallocs during factorization */ 536 } MatInfo; 537 538 /*E 539 MatInfoType - Indicates if you want information about the local part of the matrix, 540 the entire parallel matrix or the maximum over all the local parts. 541 542 Level: beginner 543 544 Any additions/changes here MUST also be made in include/finclude/petscmat.h 545 546 .seealso: MatGetInfo(), MatInfo 547 E*/ 548 typedef enum {MAT_LOCAL=1,MAT_GLOBAL_MAX=2,MAT_GLOBAL_SUM=3} MatInfoType; 549 extern PetscErrorCode MatGetInfo(Mat,MatInfoType,MatInfo*); 550 extern PetscErrorCode MatGetDiagonal(Mat,Vec); 551 extern PetscErrorCode MatGetRowMax(Mat,Vec,PetscInt[]); 552 extern PetscErrorCode MatGetRowMin(Mat,Vec,PetscInt[]); 553 extern PetscErrorCode MatGetRowMaxAbs(Mat,Vec,PetscInt[]); 554 extern PetscErrorCode MatGetRowMinAbs(Mat,Vec,PetscInt[]); 555 extern PetscErrorCode MatGetRowSum(Mat,Vec); 556 extern PetscErrorCode MatTranspose(Mat,MatReuse,Mat*); 557 PetscPolymorphicFunction(MatTranspose,(Mat A),(A,MAT_INITIAL_MATRIX,&t),Mat,t) 558 extern PetscErrorCode MatHermitianTranspose(Mat,MatReuse,Mat*); 559 extern PetscErrorCode MatPermute(Mat,IS,IS,Mat *); 560 PetscPolymorphicFunction(MatPermute,(Mat A,IS is1,IS is2),(A,is1,is2,&t),Mat,t) 561 extern PetscErrorCode MatDiagonalScale(Mat,Vec,Vec); 562 extern PetscErrorCode MatDiagonalSet(Mat,Vec,InsertMode); 563 extern PetscErrorCode MatEqual(Mat,Mat,PetscBool *); 564 PetscPolymorphicFunction(MatEqual,(Mat A,Mat B),(A,B,&t),PetscBool ,t) 565 extern PetscErrorCode MatMultEqual(Mat,Mat,PetscInt,PetscBool *); 566 extern PetscErrorCode MatMultAddEqual(Mat,Mat,PetscInt,PetscBool *); 567 extern PetscErrorCode MatMultTransposeEqual(Mat,Mat,PetscInt,PetscBool *); 568 extern PetscErrorCode MatMultTransposeAddEqual(Mat,Mat,PetscInt,PetscBool *); 569 570 extern PetscErrorCode MatNorm(Mat,NormType,PetscReal *); 571 PetscPolymorphicFunction(MatNorm,(Mat A,NormType t),(A,t,&n),PetscReal,n) 572 extern PetscErrorCode MatGetColumnNorms(Mat,NormType,PetscReal *); 573 extern PetscErrorCode MatZeroEntries(Mat); 574 extern PetscErrorCode MatZeroRows(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec); 575 extern PetscErrorCode MatZeroRowsIS(Mat,IS,PetscScalar,Vec,Vec); 576 extern PetscErrorCode MatZeroRowsStencil(Mat,PetscInt,const MatStencil [],PetscScalar,Vec,Vec); 577 extern PetscErrorCode MatZeroRowsColumnsStencil(Mat,PetscInt,const MatStencil[],PetscScalar,Vec,Vec); 578 extern PetscErrorCode MatZeroRowsColumns(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec); 579 extern PetscErrorCode MatZeroRowsColumnsIS(Mat,IS,PetscScalar,Vec,Vec); 580 581 extern PetscErrorCode MatUseScaledForm(Mat,PetscBool ); 582 extern PetscErrorCode MatScaleSystem(Mat,Vec,Vec); 583 extern PetscErrorCode MatUnScaleSystem(Mat,Vec,Vec); 584 585 extern PetscErrorCode MatGetSize(Mat,PetscInt*,PetscInt*); 586 extern PetscErrorCode MatGetLocalSize(Mat,PetscInt*,PetscInt*); 587 extern PetscErrorCode MatGetOwnershipRange(Mat,PetscInt*,PetscInt*); 588 extern PetscErrorCode MatGetOwnershipRanges(Mat,const PetscInt**); 589 extern PetscErrorCode MatGetOwnershipRangeColumn(Mat,PetscInt*,PetscInt*); 590 extern PetscErrorCode MatGetOwnershipRangesColumn(Mat,const PetscInt**); 591 592 extern PetscErrorCode MatGetSubMatrices(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]); 593 extern PetscErrorCode MatGetSubMatricesParallel(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]); 594 extern PetscErrorCode MatDestroyMatrices(PetscInt,Mat *[]); 595 extern PetscErrorCode MatGetSubMatrix(Mat,IS,IS,MatReuse,Mat *); 596 extern PetscErrorCode MatGetLocalSubMatrix(Mat,IS,IS,Mat*); 597 extern PetscErrorCode MatRestoreLocalSubMatrix(Mat,IS,IS,Mat*); 598 extern PetscErrorCode MatGetSeqNonzeroStructure(Mat,Mat*); 599 extern PetscErrorCode MatDestroySeqNonzeroStructure(Mat*); 600 601 extern PetscErrorCode MatMerge(MPI_Comm,Mat,PetscInt,MatReuse,Mat*); 602 extern PetscErrorCode MatMerge_SeqsToMPI(MPI_Comm,Mat,PetscInt,PetscInt,MatReuse,Mat*); 603 extern PetscErrorCode MatMerge_SeqsToMPISymbolic(MPI_Comm,Mat,PetscInt,PetscInt,Mat*); 604 extern PetscErrorCode MatMerge_SeqsToMPINumeric(Mat,Mat); 605 extern PetscErrorCode MatMPIAIJGetLocalMat(Mat,MatReuse,Mat*); 606 extern PetscErrorCode MatMPIAIJGetLocalMatCondensed(Mat,MatReuse,IS*,IS*,Mat*); 607 extern PetscErrorCode MatGetBrowsOfAcols(Mat,Mat,MatReuse,IS*,IS*,PetscInt*,Mat*); 608 extern PetscErrorCode MatGetBrowsOfAoCols(Mat,Mat,MatReuse,PetscInt**,PetscInt**,MatScalar**,Mat*); 609 #if defined (PETSC_USE_CTABLE) 610 extern PetscErrorCode MatGetCommunicationStructs(Mat, Vec *, PetscTable *, VecScatter *); 611 #else 612 extern PetscErrorCode MatGetCommunicationStructs(Mat, Vec *, PetscInt *[], VecScatter *); 613 #endif 614 extern PetscErrorCode MatGetGhosts(Mat, PetscInt *,const PetscInt *[]); 615 616 extern PetscErrorCode MatIncreaseOverlap(Mat,PetscInt,IS[],PetscInt); 617 618 extern PetscErrorCode MatMatMult(Mat,Mat,MatReuse,PetscReal,Mat*); 619 extern PetscErrorCode MatMatMultSymbolic(Mat,Mat,PetscReal,Mat*); 620 extern PetscErrorCode MatMatMultNumeric(Mat,Mat,Mat); 621 622 extern PetscErrorCode MatPtAP(Mat,Mat,MatReuse,PetscReal,Mat*); 623 extern PetscErrorCode MatPtAPSymbolic(Mat,Mat,PetscReal,Mat*); 624 extern PetscErrorCode MatPtAPNumeric(Mat,Mat,Mat); 625 626 extern PetscErrorCode MatMatMultTranspose(Mat,Mat,MatReuse,PetscReal,Mat*); 627 extern PetscErrorCode MatMatMultTransposeSymbolic(Mat,Mat,PetscReal,Mat*); 628 extern PetscErrorCode MatMatMultTransposeNumeric(Mat,Mat,Mat); 629 630 extern PetscErrorCode MatAXPY(Mat,PetscScalar,Mat,MatStructure); 631 extern PetscErrorCode MatAYPX(Mat,PetscScalar,Mat,MatStructure); 632 633 extern PetscErrorCode MatScale(Mat,PetscScalar); 634 extern PetscErrorCode MatShift(Mat,PetscScalar); 635 636 extern PetscErrorCode MatSetLocalToGlobalMapping(Mat,ISLocalToGlobalMapping,ISLocalToGlobalMapping); 637 extern PetscErrorCode MatSetLocalToGlobalMappingBlock(Mat,ISLocalToGlobalMapping,ISLocalToGlobalMapping); 638 extern PetscErrorCode MatGetLocalToGlobalMapping(Mat,ISLocalToGlobalMapping*,ISLocalToGlobalMapping*); 639 extern PetscErrorCode MatGetLocalToGlobalMappingBlock(Mat,ISLocalToGlobalMapping*,ISLocalToGlobalMapping*); 640 extern PetscErrorCode MatZeroRowsLocal(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec); 641 extern PetscErrorCode MatZeroRowsLocalIS(Mat,IS,PetscScalar,Vec,Vec); 642 extern PetscErrorCode MatZeroRowsColumnsLocal(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec); 643 extern PetscErrorCode MatZeroRowsColumnsLocalIS(Mat,IS,PetscScalar,Vec,Vec); 644 extern PetscErrorCode MatSetValuesLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode); 645 extern PetscErrorCode MatSetValuesBlockedLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode); 646 647 extern PetscErrorCode MatStashSetInitialSize(Mat,PetscInt,PetscInt); 648 extern PetscErrorCode MatStashGetInfo(Mat,PetscInt*,PetscInt*,PetscInt*,PetscInt*); 649 650 extern PetscErrorCode MatInterpolate(Mat,Vec,Vec); 651 extern PetscErrorCode MatInterpolateAdd(Mat,Vec,Vec,Vec); 652 PetscPolymorphicSubroutine(MatInterpolateAdd,(Mat A,Vec x,Vec y),(A,x,y,y)) 653 extern PetscErrorCode MatRestrict(Mat,Vec,Vec); 654 extern PetscErrorCode MatGetVecs(Mat,Vec*,Vec*); 655 extern PetscErrorCode MatGetRedundantMatrix(Mat,PetscInt,MPI_Comm,PetscInt,MatReuse,Mat*); 656 extern PetscErrorCode MatGetMultiProcBlock(Mat,MPI_Comm,Mat*); 657 extern PetscErrorCode MatFindZeroDiagonals(Mat,IS*); 658 659 /*MC 660 MatSetValue - Set a single entry into a matrix. 661 662 Not collective 663 664 Input Parameters: 665 + m - the matrix 666 . row - the row location of the entry 667 . col - the column location of the entry 668 . value - the value to insert 669 - mode - either INSERT_VALUES or ADD_VALUES 670 671 Notes: 672 For efficiency one should use MatSetValues() and set several or many 673 values simultaneously if possible. 674 675 Level: beginner 676 677 .seealso: MatSetValues(), MatSetValueLocal() 678 M*/ 679 PETSC_STATIC_INLINE PetscErrorCode MatSetValue(Mat v,PetscInt i,PetscInt j,PetscScalar va,InsertMode mode) {return MatSetValues(v,1,&i,1,&j,&va,mode);} 680 681 PETSC_STATIC_INLINE PetscErrorCode MatGetValue(Mat v,PetscInt i,PetscInt j,PetscScalar *va) {return MatGetValues(v,1,&i,1,&j,va);} 682 683 PETSC_STATIC_INLINE PetscErrorCode MatSetValueLocal(Mat v,PetscInt i,PetscInt j,PetscScalar va,InsertMode mode) {return MatSetValuesLocal(v,1,&i,1,&j,&va,mode);} 684 685 /*MC 686 MatPreallocateInitialize - Begins the block of code that will count the number of nonzeros per 687 row in a matrix providing the data that one can use to correctly preallocate the matrix. 688 689 Synopsis: 690 PetscErrorCode MatPreallocateInitialize(MPI_Comm comm, PetscInt nrows, PetscInt ncols, PetscInt *dnz, PetscInt *onz) 691 692 Collective on MPI_Comm 693 694 Input Parameters: 695 + comm - the communicator that will share the eventually allocated matrix 696 . nrows - the number of LOCAL rows in the matrix 697 - ncols - the number of LOCAL columns in the matrix 698 699 Output Parameters: 700 + dnz - the array that will be passed to the matrix preallocation routines 701 - ozn - the other array passed to the matrix preallocation routines 702 703 704 Level: intermediate 705 706 Notes: 707 See the <A href="../../docs/manual.pdf#nameddest=ch_performance">Hints for Performance Improvment</A> chapter in the users manual for more details. 708 709 Do not malloc or free dnz and onz, that is handled internally by these routines 710 711 Use MatPreallocateInitializeSymmetric() for symmetric matrices (MPISBAIJ matrices) 712 713 This is a MACRO not a function because it has a leading { that is closed by PetscPreallocateFinalize(). 714 715 Concepts: preallocation^Matrix 716 717 .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateSetLocal(), 718 MatPreallocateInitializeSymmetric(), MatPreallocateSymmetricSetLocal() 719 M*/ 720 #define MatPreallocateInitialize(comm,nrows,ncols,dnz,onz) 0; \ 721 { \ 722 PetscErrorCode _4_ierr; PetscInt __nrows = (nrows),__ctmp = (ncols),__rstart,__start,__end; \ 723 _4_ierr = PetscMalloc2(__nrows,PetscInt,&dnz,__nrows,PetscInt,&onz);CHKERRQ(_4_ierr); \ 724 _4_ierr = PetscMemzero(dnz,__nrows*sizeof(PetscInt));CHKERRQ(_4_ierr);\ 725 _4_ierr = PetscMemzero(onz,__nrows*sizeof(PetscInt));CHKERRQ(_4_ierr);\ 726 _4_ierr = MPI_Scan(&__ctmp,&__end,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __start = __end - __ctmp;\ 727 _4_ierr = MPI_Scan(&__nrows,&__rstart,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __rstart = __rstart - __nrows; 728 729 /*MC 730 MatPreallocateSymmetricInitialize - Begins the block of code that will count the number of nonzeros per 731 row in a matrix providing the data that one can use to correctly preallocate the matrix. 732 733 Synopsis: 734 PetscErrorCode MatPreallocateSymmetricInitialize(MPI_Comm comm, PetscInt nrows, PetscInt ncols, PetscInt *dnz, PetscInt *onz) 735 736 Collective on MPI_Comm 737 738 Input Parameters: 739 + comm - the communicator that will share the eventually allocated matrix 740 . nrows - the number of LOCAL rows in the matrix 741 - ncols - the number of LOCAL columns in the matrix 742 743 Output Parameters: 744 + dnz - the array that will be passed to the matrix preallocation routines 745 - ozn - the other array passed to the matrix preallocation routines 746 747 748 Level: intermediate 749 750 Notes: 751 See the <A href="../../docs/manual.pdf#nameddest=ch_performance">Hints for Performance Improvment</A> chapter in the users manual for more details. 752 753 Do not malloc or free dnz and onz, that is handled internally by these routines 754 755 This is a MACRO not a function because it has a leading { that is closed by PetscPreallocateFinalize(). 756 757 Concepts: preallocation^Matrix 758 759 .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateSetLocal(), 760 MatPreallocateInitialize(), MatPreallocateSymmetricSetLocal() 761 M*/ 762 #define MatPreallocateSymmetricInitialize(comm,nrows,ncols,dnz,onz) 0; \ 763 { \ 764 PetscErrorCode _4_ierr; PetscInt __nrows = (nrows),__ctmp = (ncols),__rstart,__end; \ 765 _4_ierr = PetscMalloc2(__nrows,PetscInt,&dnz,__nrows,PetscInt,&onz);CHKERRQ(_4_ierr); \ 766 _4_ierr = PetscMemzero(dnz,__nrows*sizeof(PetscInt));CHKERRQ(_4_ierr);\ 767 _4_ierr = PetscMemzero(onz,__nrows*sizeof(PetscInt));CHKERRQ(_4_ierr);\ 768 _4_ierr = MPI_Scan(&__ctmp,&__end,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr);\ 769 _4_ierr = MPI_Scan(&__nrows,&__rstart,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __rstart = __rstart - __nrows; 770 771 /*MC 772 MatPreallocateSetLocal - Indicates the locations (rows and columns) in the matrix where nonzeros will be 773 inserted using a local number of the rows and columns 774 775 Synopsis: 776 PetscErrorCode MatPreallocateSetLocal(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz) 777 778 Not Collective 779 780 Input Parameters: 781 + map - the row mapping from local numbering to global numbering 782 . nrows - the number of rows indicated 783 . rows - the indices of the rows 784 . cmap - the column mapping from local to global numbering 785 . ncols - the number of columns in the matrix 786 . cols - the columns indicated 787 . dnz - the array that will be passed to the matrix preallocation routines 788 - ozn - the other array passed to the matrix preallocation routines 789 790 791 Level: intermediate 792 793 Notes: 794 See the <A href="../../docs/manual.pdf#nameddest=ch_performance">Hints for Performance Improvment</A> chapter in the users manual for more details. 795 796 Do not malloc or free dnz and onz, that is handled internally by these routines 797 798 Concepts: preallocation^Matrix 799 800 .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateInitialize(), 801 MatPreallocateInitialize(), MatPreallocateSymmetricSetLocal() 802 M*/ 803 #define MatPreallocateSetLocal(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \ 804 {\ 805 PetscInt __l;\ 806 _4_ierr = ISLocalToGlobalMappingApply(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\ 807 _4_ierr = ISLocalToGlobalMappingApply(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\ 808 for (__l=0;__l<nrows;__l++) {\ 809 _4_ierr = MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\ 810 }\ 811 } 812 813 /*MC 814 MatPreallocateSymmetricSetLocal - Indicates the locations (rows and columns) in the matrix where nonzeros will be 815 inserted using a local number of the rows and columns 816 817 Synopsis: 818 PetscErrorCode MatPreallocateSymmetricSetLocal(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz) 819 820 Not Collective 821 822 Input Parameters: 823 + map - the mapping between local numbering and global numbering 824 . nrows - the number of rows indicated 825 . rows - the indices of the rows 826 . ncols - the number of columns in the matrix 827 . cols - the columns indicated 828 . dnz - the array that will be passed to the matrix preallocation routines 829 - ozn - the other array passed to the matrix preallocation routines 830 831 832 Level: intermediate 833 834 Notes: 835 See the <A href="../../docs/manual.pdf#nameddest=ch_performance">Hints for Performance Improvment</A> chapter in the users manual for more details. 836 837 Do not malloc or free dnz and onz that is handled internally by these routines 838 839 Concepts: preallocation^Matrix 840 841 .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateInitialize(), 842 MatPreallocateInitialize(), MatPreallocateSymmetricSetLocal(), MatPreallocateSetLocal() 843 M*/ 844 #define MatPreallocateSymmetricSetLocal(map,nrows,rows,ncols,cols,dnz,onz) 0;\ 845 {\ 846 PetscInt __l;\ 847 _4_ierr = ISLocalToGlobalMappingApply(map,nrows,rows,rows);CHKERRQ(_4_ierr);\ 848 _4_ierr = ISLocalToGlobalMappingApply(map,ncols,cols,cols);CHKERRQ(_4_ierr);\ 849 for (__l=0;__l<nrows;__l++) {\ 850 _4_ierr = MatPreallocateSymmetricSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\ 851 }\ 852 } 853 854 /*MC 855 MatPreallocateSet - Indicates the locations (rows and columns) in the matrix where nonzeros will be 856 inserted using a local number of the rows and columns 857 858 Synopsis: 859 PetscErrorCode MatPreallocateSet(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz) 860 861 Not Collective 862 863 Input Parameters: 864 + row - the row 865 . ncols - the number of columns in the matrix 866 - cols - the columns indicated 867 868 Output Parameters: 869 + dnz - the array that will be passed to the matrix preallocation routines 870 - ozn - the other array passed to the matrix preallocation routines 871 872 873 Level: intermediate 874 875 Notes: 876 See the <A href="../../docs/manual.pdf#nameddest=ch_performance">Hints for Performance Improvment</A> chapter in the users manual for more details. 877 878 Do not malloc or free dnz and onz that is handled internally by these routines 879 880 This is a MACRO not a function because it uses variables declared in MatPreallocateInitialize(). 881 882 Concepts: preallocation^Matrix 883 884 .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateInitialize(), 885 MatPreallocateInitialize(), MatPreallocateSymmetricSetLocal(), MatPreallocateSetLocal() 886 M*/ 887 #define MatPreallocateSet(row,nc,cols,dnz,onz) 0;\ 888 { PetscInt __i; \ 889 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);\ 890 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);\ 891 for (__i=0; __i<nc; __i++) {\ 892 if ((cols)[__i] < __start || (cols)[__i] >= __end) onz[row - __rstart]++; \ 893 else dnz[row - __rstart]++;\ 894 }\ 895 } 896 897 /*MC 898 MatPreallocateSymmetricSet - Indicates the locations (rows and columns) in the matrix where nonzeros will be 899 inserted using a local number of the rows and columns 900 901 Synopsis: 902 PetscErrorCode MatPreallocateSymmetricSet(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz) 903 904 Not Collective 905 906 Input Parameters: 907 + nrows - the number of rows indicated 908 . rows - the indices of the rows 909 . ncols - the number of columns in the matrix 910 . cols - the columns indicated 911 . dnz - the array that will be passed to the matrix preallocation routines 912 - ozn - the other array passed to the matrix preallocation routines 913 914 915 Level: intermediate 916 917 Notes: 918 See the <A href="../../docs/manual.pdf#nameddest=ch_performance">Hints for Performance Improvment</A> chapter in the users manual for more details. 919 920 Do not malloc or free dnz and onz that is handled internally by these routines 921 922 This is a MACRO not a function because it uses variables declared in MatPreallocateInitialize(). 923 924 Concepts: preallocation^Matrix 925 926 .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateInitialize(), 927 MatPreallocateInitialize(), MatPreallocateSymmetricSetLocal(), MatPreallocateSetLocal() 928 M*/ 929 #define MatPreallocateSymmetricSet(row,nc,cols,dnz,onz) 0;\ 930 { PetscInt __i; \ 931 for (__i=0; __i<nc; __i++) {\ 932 if (cols[__i] >= __end) onz[row - __rstart]++; \ 933 else if (cols[__i] >= row) dnz[row - __rstart]++;\ 934 }\ 935 } 936 937 /*MC 938 MatPreallocateLocation - An alternative to MatPreallocationSet() that puts the nonzero locations into the matrix if it exists 939 940 Synopsis: 941 PetscErrorCode MatPreallocateLocations(Mat A,PetscInt row,PetscInt ncols,PetscInt *cols,PetscInt *dnz,PetscInt *onz) 942 943 Not Collective 944 945 Input Parameters: 946 . A - matrix 947 . row - row where values exist (must be local to this process) 948 . ncols - number of columns 949 . cols - columns with nonzeros 950 . dnz - the array that will be passed to the matrix preallocation routines 951 - ozn - the other array passed to the matrix preallocation routines 952 953 954 Level: intermediate 955 956 Notes: 957 See the <A href="../../docs/manual.pdf#nameddest=ch_performance">Hints for Performance Improvment</A> chapter in the users manual for more details. 958 959 Do not malloc or free dnz and onz that is handled internally by these routines 960 961 This is a MACRO not a function because it uses a bunch of variables private to the MatPreallocation.... routines. 962 963 Concepts: preallocation^Matrix 964 965 .seealso: MatPreallocateInitialize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateSetLocal(), 966 MatPreallocateSymmetricInitialize(), MatPreallocateSymmetricSetLocal() 967 M*/ 968 #define MatPreallocateLocation(A,row,ncols,cols,dnz,onz) 0;if (A) {ierr = MatSetValues(A,1,&row,ncols,cols,PETSC_NULL,INSERT_VALUES);CHKERRQ(ierr);} else {ierr = MatPreallocateSet(row,ncols,cols,dnz,onz);CHKERRQ(ierr);} 969 970 971 /*MC 972 MatPreallocateFinalize - Ends the block of code that will count the number of nonzeros per 973 row in a matrix providing the data that one can use to correctly preallocate the matrix. 974 975 Synopsis: 976 PetscErrorCode MatPreallocateFinalize(PetscInt *dnz, PetscInt *onz) 977 978 Collective on MPI_Comm 979 980 Input Parameters: 981 + dnz - the array that was be passed to the matrix preallocation routines 982 - ozn - the other array passed to the matrix preallocation routines 983 984 985 Level: intermediate 986 987 Notes: 988 See the <A href="../../docs/manual.pdf#nameddest=ch_performance">Hints for Performance Improvment</A> chapter in the users manual for more details. 989 990 Do not malloc or free dnz and onz that is handled internally by these routines 991 992 This is a MACRO not a function because it closes the { started in MatPreallocateInitialize(). 993 994 Concepts: preallocation^Matrix 995 996 .seealso: MatPreallocateInitialize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateSetLocal(), 997 MatPreallocateSymmetricInitialize(), MatPreallocateSymmetricSetLocal() 998 M*/ 999 #define MatPreallocateFinalize(dnz,onz) 0;_4_ierr = PetscFree2(dnz,onz);CHKERRQ(_4_ierr);} 1000 1001 1002 1003 /* Routines unique to particular data structures */ 1004 extern PetscErrorCode MatShellGetContext(Mat,void *); 1005 PetscPolymorphicFunction(MatShellGetContext,(Mat A),(A,&t),void*,t) 1006 1007 extern PetscErrorCode MatInodeAdjustForInodes(Mat,IS*,IS*); 1008 extern PetscErrorCode MatInodeGetInodeSizes(Mat,PetscInt *,PetscInt *[],PetscInt *); 1009 1010 extern PetscErrorCode MatSeqAIJSetColumnIndices(Mat,PetscInt[]); 1011 extern PetscErrorCode MatSeqBAIJSetColumnIndices(Mat,PetscInt[]); 1012 extern PetscErrorCode MatCreateSeqAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*); 1013 extern PetscErrorCode MatCreateSeqBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*); 1014 extern PetscErrorCode MatCreateSeqSBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*); 1015 extern PetscErrorCode MatCreateSeqAIJFromTriple(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*,PetscInt,PetscBool); 1016 1017 #define MAT_SKIP_ALLOCATION -4 1018 1019 extern PetscErrorCode MatSeqBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]); 1020 PetscPolymorphicSubroutine(MatSeqBAIJSetPreallocation,(Mat A,PetscInt bs,const PetscInt nnz[]),(A,bs,0,nnz)) 1021 extern PetscErrorCode MatSeqSBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]); 1022 PetscPolymorphicSubroutine(MatSeqSBAIJSetPreallocation,(Mat A,PetscInt bs,const PetscInt nnz[]),(A,bs,0,nnz)) 1023 extern PetscErrorCode MatSeqAIJSetPreallocation(Mat,PetscInt,const PetscInt[]); 1024 PetscPolymorphicSubroutine(MatSeqAIJSetPreallocation,(Mat A,const PetscInt nnz[]),(A,0,nnz)) 1025 1026 extern PetscErrorCode MatMPIBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[]); 1027 PetscPolymorphicSubroutine(MatMPIBAIJSetPreallocation,(Mat A,PetscInt bs,const PetscInt nnz[],const PetscInt onz[]),(A,bs,0,nnz,0,onz)) 1028 extern PetscErrorCode MatMPISBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[]); 1029 extern PetscErrorCode MatMPIAIJSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]); 1030 extern PetscErrorCode MatSeqAIJSetPreallocationCSR(Mat,const PetscInt [],const PetscInt [],const PetscScalar []); 1031 extern PetscErrorCode MatSeqBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]); 1032 extern PetscErrorCode MatMPIAIJSetPreallocationCSR(Mat,const PetscInt[],const PetscInt[],const PetscScalar[]); 1033 extern PetscErrorCode MatMPIBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]); 1034 extern PetscErrorCode MatMPIAdjSetPreallocation(Mat,PetscInt[],PetscInt[],PetscInt[]); 1035 extern PetscErrorCode MatMPIDenseSetPreallocation(Mat,PetscScalar[]); 1036 extern PetscErrorCode MatSeqDenseSetPreallocation(Mat,PetscScalar[]); 1037 extern PetscErrorCode MatMPIAIJGetSeqAIJ(Mat,Mat*,Mat*,PetscInt*[]); 1038 extern PetscErrorCode MatMPIBAIJGetSeqBAIJ(Mat,Mat*,Mat*,PetscInt*[]); 1039 extern PetscErrorCode MatAdicSetLocalFunction(Mat,void (*)(void)); 1040 1041 extern PetscErrorCode MatSeqDenseSetLDA(Mat,PetscInt); 1042 extern PetscErrorCode MatDenseGetLocalMatrix(Mat,Mat*); 1043 1044 extern PetscErrorCode MatStoreValues(Mat); 1045 extern PetscErrorCode MatRetrieveValues(Mat); 1046 1047 extern PetscErrorCode MatDAADSetCtx(Mat,void*); 1048 1049 extern PetscErrorCode MatFindNonzeroRows(Mat,IS*); 1050 /* 1051 These routines are not usually accessed directly, rather solving is 1052 done through the KSP and PC interfaces. 1053 */ 1054 1055 /*J 1056 MatOrderingType - String with the name of a PETSc matrix ordering or the creation function 1057 with an optional dynamic library name, for example 1058 http://www.mcs.anl.gov/petsc/lib.a:orderingcreate() 1059 1060 Level: beginner 1061 1062 Cannot use const because the PC objects manipulate the string 1063 1064 .seealso: MatGetOrdering() 1065 J*/ 1066 #define MatOrderingType char* 1067 #define MATORDERINGNATURAL "natural" 1068 #define MATORDERINGND "nd" 1069 #define MATORDERING1WD "1wd" 1070 #define MATORDERINGRCM "rcm" 1071 #define MATORDERINGQMD "qmd" 1072 #define MATORDERINGROWLENGTH "rowlength" 1073 #define MATORDERINGAMD "amd" /* only works if UMFPACK is installed with PETSc */ 1074 1075 extern PetscErrorCode MatGetOrdering(Mat,const MatOrderingType,IS*,IS*); 1076 extern PetscErrorCode MatGetOrderingList(PetscFList *list); 1077 extern PetscErrorCode MatOrderingRegister(const char[],const char[],const char[],PetscErrorCode(*)(Mat,const MatOrderingType,IS*,IS*)); 1078 1079 /*MC 1080 MatOrderingRegisterDynamic - Adds a new sparse matrix ordering to the matrix package. 1081 1082 Synopsis: 1083 PetscErrorCode MatOrderingRegisterDynamic(const char *name_ordering,const char *path,const char *name_create,PetscErrorCode (*routine_create)(MatOrdering)) 1084 1085 Not Collective 1086 1087 Input Parameters: 1088 + sname - name of ordering (for example MATORDERINGND) 1089 . path - location of library where creation routine is 1090 . name - name of function that creates the ordering type,a string 1091 - function - function pointer that creates the ordering 1092 1093 Level: developer 1094 1095 If dynamic libraries are used, then the fourth input argument (function) 1096 is ignored. 1097 1098 Sample usage: 1099 .vb 1100 MatOrderingRegisterDynamic("my_order",/home/username/my_lib/lib/libO/solaris/mylib.a, 1101 "MyOrder",MyOrder); 1102 .ve 1103 1104 Then, your partitioner can be chosen with the procedural interface via 1105 $ MatOrderingSetType(part,"my_order) 1106 or at runtime via the option 1107 $ -pc_factor_mat_ordering_type my_order 1108 1109 ${PETSC_ARCH} occuring in pathname will be replaced with appropriate values. 1110 1111 .keywords: matrix, ordering, register 1112 1113 .seealso: MatOrderingRegisterDestroy(), MatOrderingRegisterAll() 1114 M*/ 1115 #if defined(PETSC_USE_DYNAMIC_LIBRARIES) 1116 #define MatOrderingRegisterDynamic(a,b,c,d) MatOrderingRegister(a,b,c,0) 1117 #else 1118 #define MatOrderingRegisterDynamic(a,b,c,d) MatOrderingRegister(a,b,c,d) 1119 #endif 1120 1121 extern PetscErrorCode MatOrderingRegisterDestroy(void); 1122 extern PetscErrorCode MatOrderingRegisterAll(const char[]); 1123 extern PetscBool MatOrderingRegisterAllCalled; 1124 extern PetscFList MatOrderingList; 1125 1126 extern PetscErrorCode MatReorderForNonzeroDiagonal(Mat,PetscReal,IS,IS); 1127 1128 /*S 1129 MatFactorShiftType - Numeric Shift. 1130 1131 Level: beginner 1132 1133 S*/ 1134 typedef enum {MAT_SHIFT_NONE,MAT_SHIFT_NONZERO,MAT_SHIFT_POSITIVE_DEFINITE,MAT_SHIFT_INBLOCKS} MatFactorShiftType; 1135 extern const char *MatFactorShiftTypes[]; 1136 1137 /*S 1138 MatFactorInfo - Data passed into the matrix factorization routines 1139 1140 In Fortran these are simply double precision arrays of size MAT_FACTORINFO_SIZE, that is use 1141 $ MatFactorInfo info(MAT_FACTORINFO_SIZE) 1142 1143 Notes: These are not usually directly used by users, instead use PC type of LU, ILU, CHOLESKY or ICC. 1144 1145 You can use MatFactorInfoInitialize() to set default values. 1146 1147 Level: developer 1148 1149 .seealso: MatLUFactorSymbolic(), MatILUFactorSymbolic(), MatCholeskyFactorSymbolic(), MatICCFactorSymbolic(), MatICCFactor(), 1150 MatFactorInfoInitialize() 1151 1152 S*/ 1153 typedef struct { 1154 PetscReal diagonal_fill; /* force diagonal to fill in if initially not filled */ 1155 PetscReal usedt; 1156 PetscReal dt; /* drop tolerance */ 1157 PetscReal dtcol; /* tolerance for pivoting */ 1158 PetscReal dtcount; /* maximum nonzeros to be allowed per row */ 1159 PetscReal fill; /* expected fill, nonzeros in factored matrix/nonzeros in original matrix */ 1160 PetscReal levels; /* ICC/ILU(levels) */ 1161 PetscReal pivotinblocks; /* for BAIJ and SBAIJ matrices pivot in factorization on blocks, default 1.0 1162 factorization may be faster if do not pivot */ 1163 PetscReal zeropivot; /* pivot is called zero if less than this */ 1164 PetscReal shifttype; /* type of shift added to matrix factor to prevent zero pivots */ 1165 PetscReal shiftamount; /* how large the shift is */ 1166 } MatFactorInfo; 1167 1168 extern PetscErrorCode MatFactorInfoInitialize(MatFactorInfo*); 1169 extern PetscErrorCode MatCholeskyFactor(Mat,IS,const MatFactorInfo*); 1170 extern PetscErrorCode MatCholeskyFactorSymbolic(Mat,Mat,IS,const MatFactorInfo*); 1171 extern PetscErrorCode MatCholeskyFactorNumeric(Mat,Mat,const MatFactorInfo*); 1172 extern PetscErrorCode MatLUFactor(Mat,IS,IS,const MatFactorInfo*); 1173 extern PetscErrorCode MatILUFactor(Mat,IS,IS,const MatFactorInfo*); 1174 extern PetscErrorCode MatLUFactorSymbolic(Mat,Mat,IS,IS,const MatFactorInfo*); 1175 extern PetscErrorCode MatILUFactorSymbolic(Mat,Mat,IS,IS,const MatFactorInfo*); 1176 extern PetscErrorCode MatICCFactorSymbolic(Mat,Mat,IS,const MatFactorInfo*); 1177 extern PetscErrorCode MatICCFactor(Mat,IS,const MatFactorInfo*); 1178 extern PetscErrorCode MatLUFactorNumeric(Mat,Mat,const MatFactorInfo*); 1179 extern PetscErrorCode MatGetInertia(Mat,PetscInt*,PetscInt*,PetscInt*); 1180 extern PetscErrorCode MatSolve(Mat,Vec,Vec); 1181 extern PetscErrorCode MatForwardSolve(Mat,Vec,Vec); 1182 extern PetscErrorCode MatBackwardSolve(Mat,Vec,Vec); 1183 extern PetscErrorCode MatSolveAdd(Mat,Vec,Vec,Vec); 1184 extern PetscErrorCode MatSolveTranspose(Mat,Vec,Vec); 1185 extern PetscErrorCode MatSolveTransposeAdd(Mat,Vec,Vec,Vec); 1186 extern PetscErrorCode MatSolves(Mat,Vecs,Vecs); 1187 1188 extern PetscErrorCode MatSetUnfactored(Mat); 1189 1190 /*E 1191 MatSORType - What type of (S)SOR to perform 1192 1193 Level: beginner 1194 1195 May be bitwise ORd together 1196 1197 Any additions/changes here MUST also be made in include/finclude/petscmat.h 1198 1199 MatSORType may be bitwise ORd together, so do not change the numbers 1200 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 extern PetscErrorCode MatSOR(Mat,Vec,PetscReal,MatSORType,PetscReal,PetscInt,PetscInt,Vec); 1208 1209 /* 1210 These routines are for efficiently computing Jacobians via finite differences. 1211 */ 1212 1213 /*J 1214 MatColoringType - String with the name of a PETSc matrix coloring or the creation function 1215 with an optional dynamic library name, for example 1216 http://www.mcs.anl.gov/petsc/lib.a:coloringcreate() 1217 1218 Level: beginner 1219 1220 .seealso: MatGetColoring() 1221 J*/ 1222 #define MatColoringType char* 1223 #define MATCOLORINGNATURAL "natural" 1224 #define MATCOLORINGSL "sl" 1225 #define MATCOLORINGLF "lf" 1226 #define MATCOLORINGID "id" 1227 1228 extern PetscErrorCode MatGetColoring(Mat,const MatColoringType,ISColoring*); 1229 extern PetscErrorCode MatColoringRegister(const char[],const char[],const char[],PetscErrorCode(*)(Mat,MatColoringType,ISColoring *)); 1230 1231 /*MC 1232 MatColoringRegisterDynamic - Adds a new sparse matrix coloring to the 1233 matrix package. 1234 1235 Synopsis: 1236 PetscErrorCode MatColoringRegisterDynamic(const char *name_coloring,const char *path,const char *name_create,PetscErrorCode (*routine_create)(MatColoring)) 1237 1238 Not Collective 1239 1240 Input Parameters: 1241 + sname - name of Coloring (for example MATCOLORINGSL) 1242 . path - location of library where creation routine is 1243 . name - name of function that creates the Coloring type, a string 1244 - function - function pointer that creates the coloring 1245 1246 Level: developer 1247 1248 If dynamic libraries are used, then the fourth input argument (function) 1249 is ignored. 1250 1251 Sample usage: 1252 .vb 1253 MatColoringRegisterDynamic("my_color",/home/username/my_lib/lib/libO/solaris/mylib.a, 1254 "MyColor",MyColor); 1255 .ve 1256 1257 Then, your partitioner can be chosen with the procedural interface via 1258 $ MatColoringSetType(part,"my_color") 1259 or at runtime via the option 1260 $ -mat_coloring_type my_color 1261 1262 $PETSC_ARCH occuring in pathname will be replaced with appropriate values. 1263 1264 .keywords: matrix, Coloring, register 1265 1266 .seealso: MatColoringRegisterDestroy(), MatColoringRegisterAll() 1267 M*/ 1268 #if defined(PETSC_USE_DYNAMIC_LIBRARIES) 1269 #define MatColoringRegisterDynamic(a,b,c,d) MatColoringRegister(a,b,c,0) 1270 #else 1271 #define MatColoringRegisterDynamic(a,b,c,d) MatColoringRegister(a,b,c,d) 1272 #endif 1273 1274 extern PetscBool MatColoringRegisterAllCalled; 1275 1276 extern PetscErrorCode MatColoringRegisterAll(const char[]); 1277 extern PetscErrorCode MatColoringRegisterDestroy(void); 1278 extern PetscErrorCode MatColoringPatch(Mat,PetscInt,PetscInt,ISColoringValue[],ISColoring*); 1279 1280 /*S 1281 MatFDColoring - Object for computing a sparse Jacobian via finite differences 1282 and coloring 1283 1284 Level: beginner 1285 1286 Concepts: coloring, sparse Jacobian, finite differences 1287 1288 .seealso: MatFDColoringCreate() 1289 S*/ 1290 typedef struct _p_MatFDColoring* MatFDColoring; 1291 1292 extern PetscErrorCode MatFDColoringCreate(Mat,ISColoring,MatFDColoring *); 1293 extern PetscErrorCode MatFDColoringDestroy(MatFDColoring*); 1294 extern PetscErrorCode MatFDColoringView(MatFDColoring,PetscViewer); 1295 extern PetscErrorCode MatFDColoringSetFunction(MatFDColoring,PetscErrorCode (*)(void),void*); 1296 extern PetscErrorCode MatFDColoringGetFunction(MatFDColoring,PetscErrorCode (**)(void),void**); 1297 extern PetscErrorCode MatFDColoringSetParameters(MatFDColoring,PetscReal,PetscReal); 1298 extern PetscErrorCode MatFDColoringSetFromOptions(MatFDColoring); 1299 extern PetscErrorCode MatFDColoringApply(Mat,MatFDColoring,Vec,MatStructure*,void *); 1300 extern PetscErrorCode MatFDColoringApplyTS(Mat,MatFDColoring,PetscReal,Vec,MatStructure*,void *); 1301 extern PetscErrorCode MatFDColoringSetF(MatFDColoring,Vec); 1302 extern PetscErrorCode MatFDColoringGetPerturbedColumns(MatFDColoring,PetscInt*,PetscInt*[]); 1303 /* 1304 These routines are for partitioning matrices: currently used only 1305 for adjacency matrix, MatCreateMPIAdj(). 1306 */ 1307 1308 /*S 1309 MatPartitioning - Object for managing the partitioning of a matrix or graph 1310 1311 Level: beginner 1312 1313 Concepts: partitioning 1314 1315 .seealso: MatPartitioningCreate(), MatPartitioningType 1316 S*/ 1317 typedef struct _p_MatPartitioning* MatPartitioning; 1318 1319 /*J 1320 MatPartitioningType - String with the name of a PETSc matrix partitioning or the creation function 1321 with an optional dynamic library name, for example 1322 http://www.mcs.anl.gov/petsc/lib.a:partitioningcreate() 1323 1324 Level: beginner 1325 1326 .seealso: MatPartitioningCreate(), MatPartitioning 1327 J*/ 1328 #define MatPartitioningType char* 1329 #define MATPARTITIONINGCURRENT "current" 1330 #define MATPARTITIONINGSQUARE "square" 1331 #define MATPARTITIONINGPARMETIS "parmetis" 1332 #define MATPARTITIONINGCHACO "chaco" 1333 #define MATPARTITIONINGPARTY "party" 1334 #define MATPARTITIONINGPTSCOTCH "ptscotch" 1335 1336 1337 extern PetscErrorCode MatPartitioningCreate(MPI_Comm,MatPartitioning*); 1338 extern PetscErrorCode MatPartitioningSetType(MatPartitioning,const MatPartitioningType); 1339 extern PetscErrorCode MatPartitioningSetNParts(MatPartitioning,PetscInt); 1340 extern PetscErrorCode MatPartitioningSetAdjacency(MatPartitioning,Mat); 1341 extern PetscErrorCode MatPartitioningSetVertexWeights(MatPartitioning,const PetscInt[]); 1342 extern PetscErrorCode MatPartitioningSetPartitionWeights(MatPartitioning,const PetscReal []); 1343 extern PetscErrorCode MatPartitioningApply(MatPartitioning,IS*); 1344 extern PetscErrorCode MatPartitioningDestroy(MatPartitioning*); 1345 1346 extern PetscErrorCode MatPartitioningRegister(const char[],const char[],const char[],PetscErrorCode (*)(MatPartitioning)); 1347 1348 /*MC 1349 MatPartitioningRegisterDynamic - Adds a new sparse matrix partitioning to the 1350 matrix package. 1351 1352 Synopsis: 1353 PetscErrorCode MatPartitioningRegisterDynamic(const char *name_partitioning,const char *path,const char *name_create,PetscErrorCode (*routine_create)(MatPartitioning)) 1354 1355 Not Collective 1356 1357 Input Parameters: 1358 + sname - name of partitioning (for example MATPARTITIONINGCURRENT) or parmetis 1359 . path - location of library where creation routine is 1360 . name - name of function that creates the partitioning type, a string 1361 - function - function pointer that creates the partitioning type 1362 1363 Level: developer 1364 1365 If dynamic libraries are used, then the fourth input argument (function) 1366 is ignored. 1367 1368 Sample usage: 1369 .vb 1370 MatPartitioningRegisterDynamic("my_part",/home/username/my_lib/lib/libO/solaris/mylib.a, 1371 "MyPartCreate",MyPartCreate); 1372 .ve 1373 1374 Then, your partitioner can be chosen with the procedural interface via 1375 $ MatPartitioningSetType(part,"my_part") 1376 or at runtime via the option 1377 $ -mat_partitioning_type my_part 1378 1379 $PETSC_ARCH occuring in pathname will be replaced with appropriate values. 1380 1381 .keywords: matrix, partitioning, register 1382 1383 .seealso: MatPartitioningRegisterDestroy(), MatPartitioningRegisterAll() 1384 M*/ 1385 #if defined(PETSC_USE_DYNAMIC_LIBRARIES) 1386 #define MatPartitioningRegisterDynamic(a,b,c,d) MatPartitioningRegister(a,b,c,0) 1387 #else 1388 #define MatPartitioningRegisterDynamic(a,b,c,d) MatPartitioningRegister(a,b,c,d) 1389 #endif 1390 1391 extern PetscBool MatPartitioningRegisterAllCalled; 1392 1393 extern PetscErrorCode MatPartitioningRegisterAll(const char[]); 1394 extern PetscErrorCode MatPartitioningRegisterDestroy(void); 1395 1396 extern PetscErrorCode MatPartitioningView(MatPartitioning,PetscViewer); 1397 extern PetscErrorCode MatPartitioningSetFromOptions(MatPartitioning); 1398 extern PetscErrorCode MatPartitioningGetType(MatPartitioning,const MatPartitioningType*); 1399 1400 extern PetscErrorCode MatPartitioningParmetisSetCoarseSequential(MatPartitioning); 1401 extern PetscErrorCode MatPartitioningParmetisGetEdgeCut(MatPartitioning, PetscInt *); 1402 1403 typedef enum { MP_CHACO_MULTILEVEL=1,MP_CHACO_SPECTRAL=2,MP_CHACO_LINEAR=4,MP_CHACO_RANDOM=5,MP_CHACO_SCATTERED=6 } MPChacoGlobalType; 1404 extern const char *MPChacoGlobalTypes[]; 1405 typedef enum { MP_CHACO_KERNIGHAN=1,MP_CHACO_NONE=2 } MPChacoLocalType; 1406 extern const char *MPChacoLocalTypes[]; 1407 typedef enum { MP_CHACO_LANCZOS=0,MP_CHACO_RQI=1 } MPChacoEigenType; 1408 extern const char *MPChacoEigenTypes[]; 1409 1410 extern PetscErrorCode MatPartitioningChacoSetGlobal(MatPartitioning,MPChacoGlobalType); 1411 extern PetscErrorCode MatPartitioningChacoGetGlobal(MatPartitioning,MPChacoGlobalType*); 1412 extern PetscErrorCode MatPartitioningChacoSetLocal(MatPartitioning,MPChacoLocalType); 1413 extern PetscErrorCode MatPartitioningChacoGetLocal(MatPartitioning,MPChacoLocalType*); 1414 extern PetscErrorCode MatPartitioningChacoSetCoarseLevel(MatPartitioning,PetscReal); 1415 extern PetscErrorCode MatPartitioningChacoSetEigenSolver(MatPartitioning,MPChacoEigenType); 1416 extern PetscErrorCode MatPartitioningChacoGetEigenSolver(MatPartitioning,MPChacoEigenType*); 1417 extern PetscErrorCode MatPartitioningChacoSetEigenTol(MatPartitioning,PetscReal); 1418 extern PetscErrorCode MatPartitioningChacoGetEigenTol(MatPartitioning,PetscReal*); 1419 extern PetscErrorCode MatPartitioningChacoSetEigenNumber(MatPartitioning,PetscInt); 1420 extern PetscErrorCode MatPartitioningChacoGetEigenNumber(MatPartitioning,PetscInt*); 1421 1422 #define MP_PARTY_OPT "opt" 1423 #define MP_PARTY_LIN "lin" 1424 #define MP_PARTY_SCA "sca" 1425 #define MP_PARTY_RAN "ran" 1426 #define MP_PARTY_GBF "gbf" 1427 #define MP_PARTY_GCF "gcf" 1428 #define MP_PARTY_BUB "bub" 1429 #define MP_PARTY_DEF "def" 1430 extern PetscErrorCode MatPartitioningPartySetGlobal(MatPartitioning,const char*); 1431 #define MP_PARTY_HELPFUL_SETS "hs" 1432 #define MP_PARTY_KERNIGHAN_LIN "kl" 1433 #define MP_PARTY_NONE "no" 1434 extern PetscErrorCode MatPartitioningPartySetLocal(MatPartitioning,const char*); 1435 extern PetscErrorCode MatPartitioningPartySetCoarseLevel(MatPartitioning,PetscReal); 1436 extern PetscErrorCode MatPartitioningPartySetBipart(MatPartitioning,PetscBool); 1437 extern PetscErrorCode MatPartitioningPartySetMatchOptimization(MatPartitioning,PetscBool); 1438 1439 typedef enum { MP_PTSCOTCH_QUALITY,MP_PTSCOTCH_SPEED,MP_PTSCOTCH_BALANCE,MP_PTSCOTCH_SAFETY,MP_PTSCOTCH_SCALABILITY } MPPTScotchStrategyType; 1440 extern const char *MPPTScotchStrategyTypes[]; 1441 1442 extern PetscErrorCode MatPartitioningPTScotchSetImbalance(MatPartitioning,PetscReal); 1443 extern PetscErrorCode MatPartitioningPTScotchGetImbalance(MatPartitioning,PetscReal*); 1444 extern PetscErrorCode MatPartitioningPTScotchSetStrategy(MatPartitioning,MPPTScotchStrategyType); 1445 extern PetscErrorCode MatPartitioningPTScotchGetStrategy(MatPartitioning,MPPTScotchStrategyType*); 1446 1447 extern PetscErrorCode MatMeshToVertexGraph(Mat,PetscInt,Mat*); 1448 extern PetscErrorCode MatMeshToCellGraph(Mat,PetscInt,Mat*); 1449 1450 /* 1451 If you add entries here you must also add them to finclude/petscmat.h 1452 */ 1453 typedef enum { MATOP_SET_VALUES=0, 1454 MATOP_GET_ROW=1, 1455 MATOP_RESTORE_ROW=2, 1456 MATOP_MULT=3, 1457 MATOP_MULT_ADD=4, 1458 MATOP_MULT_TRANSPOSE=5, 1459 MATOP_MULT_TRANSPOSE_ADD=6, 1460 MATOP_SOLVE=7, 1461 MATOP_SOLVE_ADD=8, 1462 MATOP_SOLVE_TRANSPOSE=9, 1463 MATOP_SOLVE_TRANSPOSE_ADD=10, 1464 MATOP_LUFACTOR=11, 1465 MATOP_CHOLESKYFACTOR=12, 1466 MATOP_SOR=13, 1467 MATOP_TRANSPOSE=14, 1468 MATOP_GETINFO=15, 1469 MATOP_EQUAL=16, 1470 MATOP_GET_DIAGONAL=17, 1471 MATOP_DIAGONAL_SCALE=18, 1472 MATOP_NORM=19, 1473 MATOP_ASSEMBLY_BEGIN=20, 1474 MATOP_ASSEMBLY_END=21, 1475 MATOP_SET_OPTION=22, 1476 MATOP_ZERO_ENTRIES=23, 1477 MATOP_ZERO_ROWS=24, 1478 MATOP_LUFACTOR_SYMBOLIC=25, 1479 MATOP_LUFACTOR_NUMERIC=26, 1480 MATOP_CHOLESKY_FACTOR_SYMBOLIC=27, 1481 MATOP_CHOLESKY_FACTOR_NUMERIC=28, 1482 MATOP_SETUP_PREALLOCATION=29, 1483 MATOP_ILUFACTOR_SYMBOLIC=30, 1484 MATOP_ICCFACTOR_SYMBOLIC=31, 1485 MATOP_GET_ARRAY=32, 1486 MATOP_RESTORE_ARRAY=33, 1487 MATOP_DUPLICATE=34, 1488 MATOP_FORWARD_SOLVE=35, 1489 MATOP_BACKWARD_SOLVE=36, 1490 MATOP_ILUFACTOR=37, 1491 MATOP_ICCFACTOR=38, 1492 MATOP_AXPY=39, 1493 MATOP_GET_SUBMATRICES=40, 1494 MATOP_INCREASE_OVERLAP=41, 1495 MATOP_GET_VALUES=42, 1496 MATOP_COPY=43, 1497 MATOP_GET_ROW_MAX=44, 1498 MATOP_SCALE=45, 1499 MATOP_SHIFT=46, 1500 MATOP_DIAGONAL_SET=47, 1501 MATOP_ILUDT_FACTOR=48, 1502 MATOP_SET_BLOCK_SIZE=49, 1503 MATOP_GET_ROW_IJ=50, 1504 MATOP_RESTORE_ROW_IJ=51, 1505 MATOP_GET_COLUMN_IJ=52, 1506 MATOP_RESTORE_COLUMN_IJ=53, 1507 MATOP_FDCOLORING_CREATE=54, 1508 MATOP_COLORING_PATCH=55, 1509 MATOP_SET_UNFACTORED=56, 1510 MATOP_PERMUTE=57, 1511 MATOP_SET_VALUES_BLOCKED=58, 1512 MATOP_GET_SUBMATRIX=59, 1513 MATOP_DESTROY=60, 1514 MATOP_VIEW=61, 1515 MATOP_CONVERT_FROM=62, 1516 MATOP_USE_SCALED_FORM=63, 1517 MATOP_SCALE_SYSTEM=64, 1518 MATOP_UNSCALE_SYSTEM=65, 1519 MATOP_SET_LOCAL_TO_GLOBAL_MAP=66, 1520 MATOP_SET_VALUES_LOCAL=67, 1521 MATOP_ZERO_ROWS_LOCAL=68, 1522 MATOP_GET_ROW_MAX_ABS=69, 1523 MATOP_GET_ROW_MIN_ABS=70, 1524 MATOP_CONVERT=71, 1525 MATOP_SET_COLORING=72, 1526 MATOP_SET_VALUES_ADIC=73, 1527 MATOP_SET_VALUES_ADIFOR=74, 1528 MATOP_FD_COLORING_APPLY=75, 1529 MATOP_SET_FROM_OPTIONS=76, 1530 MATOP_MULT_CON=77, 1531 MATOP_MULT_TRANSPOSE_CON=78, 1532 MATOP_PERMUTE_SPARSIFY=79, 1533 MATOP_MULT_MULTIPLE=80, 1534 MATOP_SOLVE_MULTIPLE=81, 1535 MATOP_GET_INERTIA=82, 1536 MATOP_LOAD=83, 1537 MATOP_IS_SYMMETRIC=84, 1538 MATOP_IS_HERMITIAN=85, 1539 MATOP_IS_STRUCTURALLY_SYMMETRIC=86, 1540 MATOP_DUMMY=87, 1541 MATOP_GET_VECS=88, 1542 MATOP_MAT_MULT=89, 1543 MATOP_MAT_MULT_SYMBOLIC=90, 1544 MATOP_MAT_MULT_NUMERIC=91, 1545 MATOP_PTAP=92, 1546 MATOP_PTAP_SYMBOLIC=93, 1547 MATOP_PTAP_NUMERIC=94, 1548 MATOP_MAT_MULTTRANSPOSE=95, 1549 MATOP_MAT_MULTTRANSPOSE_SYM=96, 1550 MATOP_MAT_MULTTRANSPOSE_NUM=97, 1551 MATOP_PTAP_SYMBOLIC_SEQAIJ=98, 1552 MATOP_PTAP_NUMERIC_SEQAIJ=99, 1553 MATOP_PTAP_SYMBOLIC_MPIAIJ=100, 1554 MATOP_PTAP_NUMERIC_MPIAIJ=101, 1555 MATOP_CONJUGATE=102, 1556 MATOP_SET_SIZES=103, 1557 MATOP_SET_VALUES_ROW=104, 1558 MATOP_REAL_PART=105, 1559 MATOP_IMAG_PART=106, 1560 MATOP_GET_ROW_UTRIANGULAR=107, 1561 MATOP_RESTORE_ROW_UTRIANGULAR=108, 1562 MATOP_MATSOLVE=109, 1563 MATOP_GET_REDUNDANTMATRIX=110, 1564 MATOP_GET_ROW_MIN=111, 1565 MATOP_GET_COLUMN_VEC=112, 1566 MATOP_MISSING_DIAGONAL=113, 1567 MATOP_MATGETSEQNONZEROSTRUCTURE=114, 1568 MATOP_CREATE=115, 1569 MATOP_GET_GHOSTS=116, 1570 MATOP_GET_LOCALSUBMATRIX=117, 1571 MATOP_RESTORE_LOCALSUBMATRIX=118, 1572 MATOP_MULT_DIAGONAL_BLOCK=119, 1573 MATOP_HERMITIANTRANSPOSE=120, 1574 MATOP_MULTHERMITIANTRANSPOSE=121, 1575 MATOP_MULTHERMITIANTRANSPOSEADD=122, 1576 MATOP_GETMULTIPROCBLOCK=123, 1577 MATOP_GETCOLUMNNORMS=125, 1578 MATOP_GET_SUBMATRICES_PARALLEL=128, 1579 MATOP_SET_VALUES_BATCH=129 1580 } MatOperation; 1581 extern PetscErrorCode MatHasOperation(Mat,MatOperation,PetscBool *); 1582 extern PetscErrorCode MatShellSetOperation(Mat,MatOperation,void(*)(void)); 1583 extern PetscErrorCode MatShellGetOperation(Mat,MatOperation,void(**)(void)); 1584 extern PetscErrorCode MatShellSetContext(Mat,void*); 1585 1586 /* 1587 Codes for matrices stored on disk. By default they are 1588 stored in a universal format. By changing the format with 1589 PetscViewerSetFormat(viewer,PETSC_VIEWER_NATIVE); the matrices will 1590 be stored in a way natural for the matrix, for example dense matrices 1591 would be stored as dense. Matrices stored this way may only be 1592 read into matrices of the same type. 1593 */ 1594 #define MATRIX_BINARY_FORMAT_DENSE -1 1595 1596 extern PetscErrorCode MatMPIBAIJSetHashTableFactor(Mat,PetscReal); 1597 extern PetscErrorCode MatISGetLocalMat(Mat,Mat*); 1598 1599 /*S 1600 MatNullSpace - Object that removes a null space from a vector, i.e. 1601 orthogonalizes the vector to a subsapce 1602 1603 Level: advanced 1604 1605 Concepts: matrix; linear operator, null space 1606 1607 Users manual sections: 1608 . sec_singular 1609 1610 .seealso: MatNullSpaceCreate() 1611 S*/ 1612 typedef struct _p_MatNullSpace* MatNullSpace; 1613 1614 extern PetscErrorCode MatNullSpaceCreate(MPI_Comm,PetscBool ,PetscInt,const Vec[],MatNullSpace*); 1615 extern PetscErrorCode MatNullSpaceSetFunction(MatNullSpace,PetscErrorCode (*)(MatNullSpace,Vec,void*),void*); 1616 extern PetscErrorCode MatNullSpaceDestroy(MatNullSpace*); 1617 extern PetscErrorCode MatNullSpaceRemove(MatNullSpace,Vec,Vec*); 1618 extern PetscErrorCode MatSetNullSpace(Mat,MatNullSpace); 1619 extern PetscErrorCode MatSetNearNullSpace(Mat,MatNullSpace); 1620 extern PetscErrorCode MatNullSpaceTest(MatNullSpace,Mat,PetscBool *); 1621 extern PetscErrorCode MatNullSpaceView(MatNullSpace,PetscViewer); 1622 1623 extern PetscErrorCode MatReorderingSeqSBAIJ(Mat,IS); 1624 extern PetscErrorCode MatMPISBAIJSetHashTableFactor(Mat,PetscReal); 1625 extern PetscErrorCode MatSeqSBAIJSetColumnIndices(Mat,PetscInt *); 1626 extern PetscErrorCode MatSeqBAIJInvertBlockDiagonal(Mat); 1627 1628 extern PetscErrorCode MatCreateMAIJ(Mat,PetscInt,Mat*); 1629 extern PetscErrorCode MatMAIJRedimension(Mat,PetscInt,Mat*); 1630 extern PetscErrorCode MatMAIJGetAIJ(Mat,Mat*); 1631 1632 extern PetscErrorCode MatComputeExplicitOperator(Mat,Mat*); 1633 1634 extern PetscErrorCode MatDiagonalScaleLocal(Mat,Vec); 1635 1636 extern PetscErrorCode MatCreateMFFD(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,Mat*); 1637 extern PetscErrorCode MatMFFDSetBase(Mat,Vec,Vec); 1638 extern PetscErrorCode MatMFFDSetFunction(Mat,PetscErrorCode(*)(void*,Vec,Vec),void*); 1639 extern PetscErrorCode MatMFFDSetFunctioni(Mat,PetscErrorCode (*)(void*,PetscInt,Vec,PetscScalar*)); 1640 extern PetscErrorCode MatMFFDSetFunctioniBase(Mat,PetscErrorCode (*)(void*,Vec)); 1641 extern PetscErrorCode MatMFFDAddNullSpace(Mat,MatNullSpace); 1642 extern PetscErrorCode MatMFFDSetHHistory(Mat,PetscScalar[],PetscInt); 1643 extern PetscErrorCode MatMFFDResetHHistory(Mat); 1644 extern PetscErrorCode MatMFFDSetFunctionError(Mat,PetscReal); 1645 extern PetscErrorCode MatMFFDSetPeriod(Mat,PetscInt); 1646 extern PetscErrorCode MatMFFDGetH(Mat,PetscScalar *); 1647 extern PetscErrorCode MatMFFDSetOptionsPrefix(Mat,const char[]); 1648 extern PetscErrorCode MatMFFDCheckPositivity(void*,Vec,Vec,PetscScalar*); 1649 extern PetscErrorCode MatMFFDSetCheckh(Mat,PetscErrorCode (*)(void*,Vec,Vec,PetscScalar*),void*); 1650 1651 /*S 1652 MatMFFD - A data structured used to manage the computation of the h differencing parameter for matrix-free 1653 Jacobian vector products 1654 1655 Notes: MATMFFD is a specific MatType which uses the MatMFFD data structure 1656 1657 MatMFFD*() methods actually take the Mat as their first argument. Not a MatMFFD data structure 1658 1659 Level: developer 1660 1661 .seealso: MATMFFD, MatCreateMFFD(), MatMFFDSetFuction(), MatMFFDSetType(), MatMFFDRegister() 1662 S*/ 1663 typedef struct _p_MatMFFD* MatMFFD; 1664 1665 /*J 1666 MatMFFDType - algorithm used to compute the h used in computing matrix-vector products via differencing of the function 1667 1668 Level: beginner 1669 1670 .seealso: MatMFFDSetType(), MatMFFDRegister() 1671 J*/ 1672 #define MatMFFDType char* 1673 #define MATMFFD_DS "ds" 1674 #define MATMFFD_WP "wp" 1675 1676 extern PetscErrorCode MatMFFDSetType(Mat,const MatMFFDType); 1677 extern PetscErrorCode MatMFFDRegister(const char[],const char[],const char[],PetscErrorCode (*)(MatMFFD)); 1678 1679 /*MC 1680 MatMFFDRegisterDynamic - Adds a method to the MatMFFD registry. 1681 1682 Synopsis: 1683 PetscErrorCode MatMFFDRegisterDynamic(const char *name_solver,const char *path,const char *name_create,PetscErrorCode (*routine_create)(MatMFFD)) 1684 1685 Not Collective 1686 1687 Input Parameters: 1688 + name_solver - name of a new user-defined compute-h module 1689 . path - path (either absolute or relative) the library containing this solver 1690 . name_create - name of routine to create method context 1691 - routine_create - routine to create method context 1692 1693 Level: developer 1694 1695 Notes: 1696 MatMFFDRegisterDynamic() may be called multiple times to add several user-defined solvers. 1697 1698 If dynamic libraries are used, then the fourth input argument (routine_create) 1699 is ignored. 1700 1701 Sample usage: 1702 .vb 1703 MatMFFDRegisterDynamic("my_h",/home/username/my_lib/lib/libO/solaris/mylib.a, 1704 "MyHCreate",MyHCreate); 1705 .ve 1706 1707 Then, your solver can be chosen with the procedural interface via 1708 $ MatMFFDSetType(mfctx,"my_h") 1709 or at runtime via the option 1710 $ -snes_mf_type my_h 1711 1712 .keywords: MatMFFD, register 1713 1714 .seealso: MatMFFDRegisterAll(), MatMFFDRegisterDestroy() 1715 M*/ 1716 #if defined(PETSC_USE_DYNAMIC_LIBRARIES) 1717 #define MatMFFDRegisterDynamic(a,b,c,d) MatMFFDRegister(a,b,c,0) 1718 #else 1719 #define MatMFFDRegisterDynamic(a,b,c,d) MatMFFDRegister(a,b,c,d) 1720 #endif 1721 1722 extern PetscErrorCode MatMFFDRegisterAll(const char[]); 1723 extern PetscErrorCode MatMFFDRegisterDestroy(void); 1724 extern PetscErrorCode MatMFFDDSSetUmin(Mat,PetscReal); 1725 extern PetscErrorCode MatMFFDWPSetComputeNormU(Mat,PetscBool ); 1726 1727 1728 extern PetscErrorCode PetscViewerMathematicaPutMatrix(PetscViewer, PetscInt, PetscInt, PetscReal *); 1729 extern PetscErrorCode PetscViewerMathematicaPutCSRMatrix(PetscViewer, PetscInt, PetscInt, PetscInt *, PetscInt *, PetscReal *); 1730 1731 /* 1732 PETSc interface to MUMPS 1733 */ 1734 #ifdef PETSC_HAVE_MUMPS 1735 extern PetscErrorCode MatMumpsSetIcntl(Mat,PetscInt,PetscInt); 1736 #endif 1737 1738 /* 1739 PETSc interface to SUPERLU 1740 */ 1741 #ifdef PETSC_HAVE_SUPERLU 1742 extern PetscErrorCode MatSuperluSetILUDropTol(Mat,PetscReal); 1743 #endif 1744 1745 #if defined(PETSC_HAVE_CUSP) 1746 extern PetscErrorCode MatCreateSeqAIJCUSP(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*); 1747 extern PetscErrorCode MatCreateMPIAIJCUSP(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*); 1748 #endif 1749 1750 /* 1751 PETSc interface to FFTW 1752 */ 1753 #if defined(PETSC_HAVE_FFTW) 1754 extern PetscErrorCode VecScatterPetscToFFTW(Mat,Vec,Vec); 1755 extern PetscErrorCode VecScatterFFTWToPetsc(Mat,Vec,Vec); 1756 extern PetscErrorCode MatGetVecsFFTW(Mat,Vec*,Vec*,Vec*); 1757 #endif 1758 1759 extern PetscErrorCode MatCreateNest(MPI_Comm,PetscInt,const IS[],PetscInt,const IS[],const Mat[],Mat*); 1760 extern PetscErrorCode MatNestGetSize(Mat,PetscInt*,PetscInt*); 1761 extern PetscErrorCode MatNestGetSubMats(Mat,PetscInt*,PetscInt*,Mat***); 1762 extern PetscErrorCode MatNestGetSubMat(Mat,PetscInt,PetscInt,Mat*); 1763 extern PetscErrorCode MatNestSetVecType(Mat,const VecType); 1764 extern PetscErrorCode MatNestSetSubMats(Mat,PetscInt,const IS[],PetscInt,const IS[],const Mat[]); 1765 extern PetscErrorCode MatNestSetSubMat(Mat,PetscInt,PetscInt,Mat); 1766 1767 /* 1768 MatIJ: 1769 An unweighted directed pseudograph 1770 An interpretation of this matrix as a (pseudo)graph allows us to define additional operations on it: 1771 A MatIJ can act on sparse arrays: arrays of indices, or index arrays of integers, scalars, or integer-scalar pairs 1772 by mapping the indices to the indices connected to them by the (pseudo)graph ed 1773 */ 1774 typedef enum {MATIJ_LOCAL, MATIJ_GLOBAL} MatIJIndexType; 1775 extern PetscErrorCode MatIJSetMultivalued(Mat, PetscBool); 1776 extern PetscErrorCode MatIJGetMultivalued(Mat, PetscBool*); 1777 extern PetscErrorCode MatIJSetEdges(Mat, PetscInt, const PetscInt*, const PetscInt*); 1778 extern PetscErrorCode MatIJGetEdges(Mat, PetscInt *, PetscInt **, PetscInt **); 1779 extern PetscErrorCode MatIJSetEdgesIS(Mat, IS, IS); 1780 extern PetscErrorCode MatIJGetEdgesIS(Mat, IS*, IS*); 1781 extern PetscErrorCode MatIJGetRowSizes(Mat, MatIJIndexType, PetscInt, const PetscInt *, PetscInt **); 1782 extern PetscErrorCode MatIJGetMinRowSize(Mat, PetscInt *); 1783 extern PetscErrorCode MatIJGetMaxRowSize(Mat, PetscInt *); 1784 extern PetscErrorCode MatIJGetSupport(Mat, PetscInt *, PetscInt **); 1785 extern PetscErrorCode MatIJGetSupportIS(Mat, IS *); 1786 extern PetscErrorCode MatIJGetImage(Mat, PetscInt*, PetscInt**); 1787 extern PetscErrorCode MatIJGetImageIS(Mat, IS *); 1788 extern PetscErrorCode MatIJGetSupportSize(Mat, PetscInt *); 1789 extern PetscErrorCode MatIJGetImageSize(Mat, PetscInt *); 1790 1791 extern PetscErrorCode MatIJBinRenumber(Mat, Mat*); 1792 1793 extern PetscErrorCode MatIJMap(Mat, MatIJIndexType, PetscInt,const PetscInt*,const PetscInt*,const PetscScalar*, MatIJIndexType,PetscInt*,PetscInt**,PetscInt**,PetscScalar**,PetscInt**); 1794 extern PetscErrorCode MatIJBin(Mat, MatIJIndexType, PetscInt,const PetscInt*,const PetscInt*,const PetscScalar*,PetscInt*,PetscInt**,PetscInt**,PetscScalar**,PetscInt**); 1795 extern PetscErrorCode MatIJBinMap(Mat,Mat, MatIJIndexType,PetscInt,const PetscInt*,const PetscInt*,const PetscScalar*,MatIJIndexType,PetscInt*,PetscInt**,PetscInt**,PetscScalar**,PetscInt**); 1796 1797 PETSC_EXTERN_CXX_END 1798 #endif 1799