xref: /petsc/src/mat/impls/aij/seq/cholmod/aijcholmod.c (revision fc2fb351b07424d94bbc5485f22cb3cc22c1417e)

#include <../src/mat/impls/aij/seq/aij.h>
#include <../src/mat/impls/sbaij/seq/cholmod/cholmodimpl.h>

static PetscErrorCode MatWrapCholmod_seqaij(Mat A, PetscBool values, cholmod_sparse *C, PetscBool *aijalloc, PetscBool *valloc)
{
  Mat_SeqAIJ        *aij = (Mat_SeqAIJ *)A->data;
  const PetscScalar *aa;
  PetscScalar       *ca;
  const PetscInt    *ai = aij->i, *aj = aij->j, *adiag;
  PetscInt           m    = A->rmap->n, i, j, k, nz, *ci, *cj;
  PetscBool          vain = PETSC_FALSE;

  PetscFunctionBegin;
  PetscCall(MatGetDiagonalMarkers_SeqAIJ(A, &adiag, NULL));
  for (i = 0, nz = 0; i < m; i++) nz += ai[i + 1] - adiag[i];
  PetscCall(PetscMalloc2(m + 1, &ci, nz, &cj));
  if (values) {
    vain = PETSC_TRUE;
    PetscCall(PetscMalloc1(nz, &ca));
    PetscCall(MatSeqAIJGetArrayRead(A, &aa));
  }
  for (i = 0, k = 0; i < m; i++) {
    ci[i] = k;
    for (j = adiag[i]; j < ai[i + 1]; j++, k++) {
      cj[k] = aj[j];
      if (values) ca[k] = PetscConj(aa[j]);
    }
  }
  ci[i]     = k;
  *aijalloc = PETSC_TRUE;
  *valloc   = vain;
  if (values) PetscCall(MatSeqAIJRestoreArrayRead(A, &aa));

  PetscCall(PetscMemzero(C, sizeof(*C)));

  C->nrow   = (size_t)A->cmap->n;
  C->ncol   = (size_t)A->rmap->n;
  C->nzmax  = (size_t)nz;
  C->p      = ci;
  C->i      = cj;
  C->x      = values ? ca : 0;
  C->stype  = -1;
  C->itype  = CHOLMOD_INT_TYPE;
  C->xtype  = values ? CHOLMOD_SCALAR_TYPE : CHOLMOD_PATTERN;
  C->dtype  = CHOLMOD_DOUBLE;
  C->sorted = 1;
  C->packed = 1;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatFactorGetSolverType_seqaij_cholmod(Mat A, MatSolverType *type)
{
  PetscFunctionBegin;
  *type = MATSOLVERCHOLMOD;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/* Almost a copy of MatGetFactor_seqsbaij_cholmod, yuck */
PETSC_INTERN PetscErrorCode MatGetFactor_seqaij_cholmod(Mat A, MatFactorType ftype, Mat *F)
{
  Mat          B;
  Mat_CHOLMOD *chol;
  PetscInt     m = A->rmap->n, n = A->cmap->n;

  PetscFunctionBegin;
  if (PetscDefined(USE_COMPLEX) && A->hermitian != PETSC_BOOL3_TRUE) {
    PetscCall(PetscInfo(A, "Only for Hermitian matrices.\n"));
    *F = NULL;
    PetscFunctionReturn(PETSC_SUCCESS);
  }
  /* Create the factorization matrix F */
  PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &B));
  PetscCall(MatSetSizes(B, PETSC_DECIDE, PETSC_DECIDE, m, n));
  PetscCall(PetscStrallocpy("cholmod", &((PetscObject)B)->type_name));
  PetscCall(MatSetUp(B));
  PetscCall(PetscNew(&chol));

  chol->Wrap = MatWrapCholmod_seqaij;
  B->data    = chol;

  B->ops->getinfo                = MatGetInfo_CHOLMOD;
  B->ops->view                   = MatView_CHOLMOD;
  B->ops->choleskyfactorsymbolic = MatCholeskyFactorSymbolic_CHOLMOD;
  B->ops->destroy                = MatDestroy_CHOLMOD;

  PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatFactorGetSolverType_C", MatFactorGetSolverType_seqaij_cholmod));

  B->factortype   = MAT_FACTOR_CHOLESKY;
  B->assembled    = PETSC_TRUE;
  B->preallocated = PETSC_TRUE;

  PetscCall(PetscFree(B->solvertype));
  PetscCall(PetscStrallocpy(MATSOLVERCHOLMOD, &B->solvertype));
  B->canuseordering = PETSC_TRUE;
  PetscCall(PetscStrallocpy(MATORDERINGEXTERNAL, (char **)&B->preferredordering[MAT_FACTOR_CHOLESKY]));
  PetscCall(CholmodStart(B));
  *F = B;
  PetscFunctionReturn(PETSC_SUCCESS);
}