xref: /petsc/src/mat/impls/aij/seq/cholmod/aijcholmod.c (revision bebe2cf65d55febe21a5af8db2bd2e168caaa2e7)
1 
2 #include <../src/mat/impls/aij/seq/aij.h>
3 #include <../src/mat/impls/sbaij/seq/cholmod/cholmodimpl.h>
4 
5 #undef __FUNCT__
6 #define __FUNCT__ "MatWrapCholmod_seqaij"
7 static PetscErrorCode MatWrapCholmod_seqaij(Mat A,PetscBool values,cholmod_sparse *C,PetscBool  *aijalloc)
8 {
9   Mat_SeqAIJ      *aij = (Mat_SeqAIJ*)A->data;
10   const PetscInt  *ai  = aij->i,*aj = aij->j,*adiag;
11   const MatScalar *aa  = aij->a;
12   PetscInt        m    = A->rmap->n,i,j,k,nz,*ci,*cj;
13   PetscScalar     *ca;
14   PetscErrorCode  ierr;
15 
16   PetscFunctionBegin;
17   ierr  = MatMarkDiagonal_SeqAIJ(A);CHKERRQ(ierr);
18   adiag = aij->diag;
19   for (i=0,nz=0; i<m; i++) nz += ai[i+1] - adiag[i];
20   ierr = PetscMalloc3(m+1,&ci,nz,&cj,values ? nz : 0,&ca);CHKERRQ(ierr);
21   for (i=0,k=0; i<m; i++) {
22     ci[i] = k;
23     for (j=adiag[i]; j<ai[i+1]; j++,k++) {
24       cj[k] = aj[j];
25       if (values) ca[k] = aa[j];
26     }
27   }
28   ci[i]     = k;
29   *aijalloc = PETSC_TRUE;
30 
31   ierr = PetscMemzero(C,sizeof(*C));CHKERRQ(ierr);
32 
33   C->nrow   = (size_t)A->cmap->n;
34   C->ncol   = (size_t)A->rmap->n;
35   C->nzmax  = (size_t)nz;
36   C->p      = ci;
37   C->i      = cj;
38   C->x      = values ? ca : 0;
39   C->stype  = -1;
40   C->itype  = CHOLMOD_INT_TYPE;
41   C->xtype  = values ? CHOLMOD_SCALAR_TYPE : CHOLMOD_PATTERN;
42   C->dtype  = CHOLMOD_DOUBLE;
43   C->sorted = 1;
44   C->packed = 1;
45   PetscFunctionReturn(0);
46 }
47 
48 #undef __FUNCT__
49 #define __FUNCT__ "MatFactorGetSolverPackage_seqaij_cholmod"
50 PetscErrorCode MatFactorGetSolverPackage_seqaij_cholmod(Mat A,const MatSolverPackage *type)
51 {
52   PetscFunctionBegin;
53   *type = MATSOLVERCHOLMOD;
54   PetscFunctionReturn(0);
55 }
56 
57 #undef __FUNCT__
58 #define __FUNCT__ "MatGetFactor_seqaij_cholmod"
59 /* Almost a copy of MatGetFactor_seqsbaij_cholmod, yuck */
60 PETSC_EXTERN PetscErrorCode MatGetFactor_seqaij_cholmod(Mat A,MatFactorType ftype,Mat *F)
61 {
62   Mat            B;
63   Mat_CHOLMOD    *chol;
64   PetscErrorCode ierr;
65   PetscInt       m=A->rmap->n,n=A->cmap->n;
66 
67   PetscFunctionBegin;
68   if (ftype != MAT_FACTOR_CHOLESKY) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_SUP,"CHOLMOD cannot do %s factorization with AIJ, only %s",
69                                              MatFactorTypes[ftype],MatFactorTypes[MAT_FACTOR_CHOLESKY]);
70   /* Create the factorization matrix F */
71   ierr = MatCreate(PetscObjectComm((PetscObject)A),&B);CHKERRQ(ierr);
72   ierr = MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,m,n);CHKERRQ(ierr);
73   ierr = MatSetType(B,((PetscObject)A)->type_name);CHKERRQ(ierr);
74   ierr = MatSeqAIJSetPreallocation(B,0,NULL);CHKERRQ(ierr);
75   ierr = PetscNewLog(B,&chol);CHKERRQ(ierr);
76 
77   chol->Wrap    = MatWrapCholmod_seqaij;
78   chol->Destroy = MatDestroy_SeqAIJ;
79   B->spptr      = chol;
80 
81   B->ops->view                   = MatView_CHOLMOD;
82   B->ops->choleskyfactorsymbolic = MatCholeskyFactorSymbolic_CHOLMOD;
83   B->ops->destroy                = MatDestroy_CHOLMOD;
84 
85   ierr = PetscObjectComposeFunction((PetscObject)B,"MatFactorGetSolverPackage_C",MatFactorGetSolverPackage_seqaij_cholmod);CHKERRQ(ierr);
86 
87   B->factortype   = MAT_FACTOR_CHOLESKY;
88   B->assembled    = PETSC_TRUE; /* required by -ksp_view */
89   B->preallocated = PETSC_TRUE;
90 
91   ierr = CholmodStart(B);CHKERRQ(ierr);
92   *F   = B;
93   PetscFunctionReturn(0);
94 }
95