xref: /petsc/src/mat/utils/zerodiag.c (revision fd61f322cfb32a6b90aaa39eb21e8aacabbf926c)

#ifdef PETSC_RCS_HEADER
static char vcid[] = "$Id: zerodiag.c,v 1.28 1998/11/04 20:02:55 bsmith Exp bsmith $";
#endif

/*
    This file contains routines to reorder a matrix so that the diagonal
    elements are nonzero.
 */

#include "src/mat/matimpl.h"       /*I  "mat.h"  I*/

#define SWAP(a,b) {int _t; _t = a; a = b; b = _t; }

#undef __FUNC__
#define __FUNC__ "MatReorderForNonzeroDiagonal"
/*@
    MatReorderForNonzeroDiagonal - Changes matrix ordering to remove
    zeros from diagonal. This may help in the LU factorization to
    prevent a zero pivot.

    Collective on Mat

    Input Parameters:
+   mat  - matrix to reorder
-   rmap,cmap - row and column permutations.  Usually obtained from
               MatGetReordering().

    Notes:
    This is not intended as a replacement for pivoting for matrices that
    have ``bad'' structure. It is only a stop-gap measure. Should be called
    after a call to MatGetReordering(), this routine changes the column
    ordering defined in cis.

    Options Database Keys (When using SLES):
+      -pc_ilu_nonzeros_along_diagonal
-      -pc_lu_nonzeros_along_diagonal

    Algorithm Notes:
    Column pivoting is used.

    1) Choice of column is made by looking at the
       non-zero elements in the troublesome row for columns that are not yet
       included (moving from left to right).

    2) If (1) fails we check all the columns to the left of the current row
       and see if one of them has could be swapped. It can be swapped if
       its corresponding row has a non-zero in the column it is being
       swapped with; to make sure the previous nonzero diagonal remains
       nonzero


@*/
int MatReorderForNonzeroDiagonal(Mat mat,double atol,IS ris,IS cis )
{
  int      ierr, prow, k, nz, n, repl, *j, *col, *row, m, *irow, *icol,nnz,*jj,kk;
  Scalar   *v,*vv;
  double   repla;
  IS       icis;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(mat,MAT_COOKIE);
  PetscValidHeaderSpecific(ris,IS_COOKIE);
  PetscValidHeaderSpecific(cis,IS_COOKIE);

  ierr = ISGetIndices(ris,&row); CHKERRQ(ierr);
  ierr = ISGetIndices(cis,&col); CHKERRQ(ierr);
  ierr = ISInvertPermutation(cis,&icis);CHKERRQ(ierr);
  ierr = ISGetIndices(icis,&icol); CHKERRQ(ierr);
  ierr = MatGetSize(mat,&m,&n); CHKERRQ(ierr);

  for (prow=0; prow<n; prow++) {
    ierr = MatGetRow( mat, row[prow], &nz, &j, &v ); CHKERRQ(ierr);
    for (k=0; k<nz; k++) {if (icol[j[k]] == prow) break;}
    if (k >= nz || PetscAbsScalar(v[k]) <= atol) {
      /* Element too small or zero; find the best candidate */
      repl  = prow;
      repla = (k >= nz) ? 0.0 : PetscAbsScalar(v[k]);
      /*
          Look for a later column we can swap with this one
      */
      for (k=0; k<nz; k++) {
	if (icol[j[k]] > prow && PetscAbsScalar(v[k]) > repla) {
          /* found a suitable later column */
	  repl  = icol[j[k]];
	  repla = PetscAbsScalar(v[k]);
          SWAP(icol[col[prow]],icol[col[repl]]);
          SWAP(col[prow],col[repl]);
          goto found;
        }
      }
      /*
           Did not find a suitable later column so look for an earlier column
	   We need to be sure that we don't introduce a zero in a previous
	   diagonal
      */
      for (k=0; k<nz; k++) {
        if (icol[j[k]] < prow && PetscAbsScalar(v[k]) > repla) {
          /* See if this one will work */
          repl  = icol[j[k]];
          ierr = MatGetRow( mat, row[repl], &nnz, &jj, &vv ); CHKERRQ(ierr);
          for (kk=0; kk<nnz; kk++) {
            if (icol[jj[kk]] == prow && PetscAbsScalar(vv[kk]) > atol) {
	      repla = PetscAbsScalar(v[k]);
              ierr = MatRestoreRow( mat, row[repl], &nnz, &jj, &vv ); CHKERRQ(ierr);
              SWAP(icol[col[prow]],icol[col[repl]]);
              SWAP(col[prow],col[repl]);
              goto found;
	    }
          }
          ierr = MatRestoreRow( mat, row[repl], &nnz, &jj, &vv ); CHKERRQ(ierr);
        }
      }
      /*
          No column  suitable; instead check all future rows
          Note: this will be very slow
      */
      for (k=prow+1; k<n; k++) {
        ierr = MatGetRow( mat, row[k], &nnz, &jj, &vv ); CHKERRQ(ierr);
        for (kk=0; kk<nnz; kk++) {
          if (icol[jj[kk]] == prow && PetscAbsScalar(vv[kk]) > atol) {
            /* found a row */
            SWAP(row[prow],row[k]);
            goto found;
          }
        }
        ierr = MatRestoreRow( mat, row[k], &nnz, &jj, &vv ); CHKERRQ(ierr);
      }

      found:;
    }
    ierr = MatRestoreRow( mat, row[prow], &nz, &j, &v ); CHKERRQ(ierr);
  }
  ierr = ISRestoreIndices(ris,&row); CHKERRQ(ierr);
  ierr = ISRestoreIndices(cis,&col); CHKERRQ(ierr);
  ierr = ISRestoreIndices(icis,&icol); CHKERRQ(ierr);
  ierr = ISDestroy(icis); CHKERRQ(ierr);
  PetscFunctionReturn(0);
}