amesos_amd_l1.c

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/* ========================================================================= */
/* === AMD_1 =============================================================== */
/* ========================================================================= */

/* ------------------------------------------------------------------------- */
/* AMD, Copyright (c) Timothy A. Davis,              */
/* Patrick R. Amestoy, and Iain S. Duff.  See ../README.txt for License.     */
/* email: davis at cise.ufl.edu    CISE Department, Univ. of Florida.        */
/* web: http://www.cise.ufl.edu/research/sparse/amd                          */
/* ------------------------------------------------------------------------- */

/* AMD_1: Construct A+A' for a sparse matrix A and perform the AMD ordering.
 *
 * The n-by-n sparse matrix A can be unsymmetric.  It is stored in MATLAB-style
 * compressed-column form, with sorted row indices in each column, and no
 * duplicate entries.  Diagonal entries may be present, but they are ignored.
 * Row indices of column j of A are stored in Ai [Ap [j] ... Ap [j+1]-1].
 * Ap [0] must be zero, and nz = Ap [n] is the number of entries in A.  The
 * size of the matrix, n, must be greater than or equal to zero.
 *
 * This routine must be preceded by a call to AMD_aat, which computes the
 * number of entries in each row/column in A+A', excluding the diagonal.
 * Len [j], on input, is the number of entries in row/column j of A+A'.  This
 * routine constructs the matrix A+A' and then calls AMD_2.  No error checking
 * is performed (this was done in AMD_valid).
 */

/* This file should make the long int version of AMD */
#define DLONG 1

#include "amesos_amd_internal.h"

GLOBAL void AMD_1
(
    Int n,    /* n > 0 */
    const Int Ap [ ], /* input of size n+1, not modified */
    const Int Ai [ ], /* input of size nz = Ap [n], not modified */
    Int P [ ],    /* size n output permutation */
    Int Pinv [ ], /* size n output inverse permutation */
    Int Len [ ],  /* size n input, undefined on output */
    Int slen,   /* slen >= sum (Len [0..n-1]) + 7n,
       * ideally slen = 1.2 * sum (Len) + 8n */
    Int S [ ],    /* size slen workspace */
    double Control [ ], /* input array of size AMD_CONTROL */
    double Info [ ] /* output array of size AMD_INFO */
)
{
    Int i, j, k, p, pfree, iwlen, pj, p1, p2, pj2, *Iw, *Pe, *Nv, *Head,
  *Elen, *Degree, *s, *W, *Sp, *Tp ;

    /* --------------------------------------------------------------------- */
    /* construct the matrix for AMD_2 */
    /* --------------------------------------------------------------------- */

    ASSERT (n > 0) ;

    iwlen = slen - 6*n ;
    s = S ;
    Pe = s ;      s += n ;
    Nv = s ;      s += n ;
    Head = s ;      s += n ;
    Elen = s ;      s += n ;
    Degree = s ;    s += n ;
    W = s ;     s += n ;
    Iw = s ;      s += iwlen ;

    ASSERT (AMD_valid (n, n, Ap, Ai) == AMD_OK) ;

    /* construct the pointers for A+A' */
    Sp = Nv ;     /* use Nv and W as workspace for Sp and Tp [ */
    Tp = W ;
    pfree = 0 ;
    for (j = 0 ; j < n ; j++)
    {
  Pe [j] = pfree ;
  Sp [j] = pfree ;
  pfree += Len [j] ;
    }

    /* Note that this restriction on iwlen is slightly more restrictive than
     * what is strictly required in AMD_2.  AMD_2 can operate with no elbow
     * room at all, but it will be very slow.  For better performance, at
     * least size-n elbow room is enforced. */
    ASSERT (iwlen >= pfree + n) ;

#ifndef NDEBUG
    for (p = 0 ; p < iwlen ; p++) Iw [p] = EMPTY ;
#endif

    for (k = 0 ; k < n ; k++)
    {
  AMD_DEBUG1 (("Construct row/column k= "ID" of A+A'\n", k))  ;
  p1 = Ap [k] ;
  p2 = Ap [k+1] ;

  /* construct A+A' */
  for (p = p1 ; p < p2 ; )
  {
      /* scan the upper triangular part of A */
      j = Ai [p] ;
      ASSERT (j >= 0 && j < n) ;
      if (j < k)
      {
    /* entry A (j,k) in the strictly upper triangular part */
    ASSERT (Sp [j] < (j == n-1 ? pfree : Pe [j+1])) ;
    ASSERT (Sp [k] < (k == n-1 ? pfree : Pe [k+1])) ;
    Iw [Sp [j]++] = k ;
    Iw [Sp [k]++] = j ;
    p++ ;
      }
      else if (j == k)
      {
    /* skip the diagonal */
    p++ ;
    break ;
      }
      else /* j > k */
      {
    /* first entry below the diagonal */
    break ;
      }
      /* scan lower triangular part of A, in column j until reaching
       * row k.  Start where last scan left off. */
      ASSERT (Ap [j] <= Tp [j] && Tp [j] <= Ap [j+1]) ;
      pj2 = Ap [j+1] ;
      for (pj = Tp [j] ; pj < pj2 ; )
      {
    i = Ai [pj] ;
    ASSERT (i >= 0 && i < n) ;
    if (i < k)
    {
        /* A (i,j) is only in the lower part, not in upper */
        ASSERT (Sp [i] < (i == n-1 ? pfree : Pe [i+1])) ;
        ASSERT (Sp [j] < (j == n-1 ? pfree : Pe [j+1])) ;
        Iw [Sp [i]++] = j ;
        Iw [Sp [j]++] = i ;
        pj++ ;
    }
    else if (i == k)
    {
        /* entry A (k,j) in lower part and A (j,k) in upper */
        pj++ ;
        break ;
    }
    else /* i > k */
    {
        /* consider this entry later, when k advances to i */
        break ;
    }
      }
      Tp [j] = pj ;
  }
  Tp [k] = p ;
    }

    /* clean up, for remaining mismatched entries */
    for (j = 0 ; j < n ; j++)
    {
  for (pj = Tp [j] ; pj < Ap [j+1] ; pj++)
  {
      i = Ai [pj] ;
      ASSERT (i >= 0 && i < n) ;
      /* A (i,j) is only in the lower part, not in upper */
      ASSERT (Sp [i] < (i == n-1 ? pfree : Pe [i+1])) ;
      ASSERT (Sp [j] < (j == n-1 ? pfree : Pe [j+1])) ;
      Iw [Sp [i]++] = j ;
      Iw [Sp [j]++] = i ;
  }
    }

#ifndef NDEBUG
    for (j = 0 ; j < n-1 ; j++) ASSERT (Sp [j] == Pe [j+1]) ;
    ASSERT (Sp [n-1] == pfree) ;
#endif

    /* Tp and Sp no longer needed ] */

    /* --------------------------------------------------------------------- */
    /* order the matrix */
    /* --------------------------------------------------------------------- */

    AMD_2 (n, Pe, Iw, Len, iwlen, pfree,
  Nv, Pinv, P, Head, Elen, Degree, W, Control, Info) ;
}