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fvn_sparse/UMFPACK/Source/umf_scale.c 2.3 KB
422234dc3   daniau   git-svn-id: https...
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  /* ========================================================================== */
  /* === UMF_scale ============================================================ */
  /* ========================================================================== */
  
  /* -------------------------------------------------------------------------- */
  /* UMFPACK Copyright (c) Timothy A. Davis, CISE,                              */
  /* Univ. of Florida.  All Rights Reserved.  See ../Doc/License for License.   */
  /* web: http://www.cise.ufl.edu/research/sparse/umfpack                       */
  /* -------------------------------------------------------------------------- */
  
  /* Divide a vector of stride 1 by the pivot value. */
  
  #include "umf_internal.h"
  
  GLOBAL void UMF_scale
  (
      Int n,
      Entry pivot,
      Entry X [ ]
  )
  {
      Entry x ;
      double s ;
      Int i ;
  
      /* ---------------------------------------------------------------------- */
      /* compute the approximate absolute value of the pivot, and select method */
      /* ---------------------------------------------------------------------- */
  
      APPROX_ABS (s, pivot) ;
  
      if (s < RECIPROCAL_TOLERANCE || IS_NAN (pivot))
      {
  	/* ------------------------------------------------------------------ */
  	/* tiny, or zero, pivot case */
  	/* ------------------------------------------------------------------ */
  
  	/* The pivot is tiny, or NaN.  Do not divide zero by the pivot value,
  	 * and do not multiply by 1/pivot, either. */
  
  	for (i = 0 ; i < n ; i++)
  	{
  	    /* X [i] /= pivot ; */
  	    x = X [i] ;
  
  #ifndef NO_DIVIDE_BY_ZERO
  	    if (IS_NONZERO (x))
  	    {
  		DIV (X [i], x, pivot) ;
  	    }
  #else
  	    /* Do not divide by zero */
  	    if (IS_NONZERO (x) && IS_NONZERO (pivot))
  	    {
  		DIV (X [i], x, pivot) ;
  	    }
  #endif
  
  	}
  
      }
      else
      {
  
  	/* ------------------------------------------------------------------ */
  	/* normal case */
  	/* ------------------------------------------------------------------ */
  
  	/* The pivot is not tiny, and is not NaN.   Don't bother to check for
  	 * zeros in the pivot column, X.  This is slightly more accurate than
  	 * multiplying by 1/pivot (but slightly slower), particularly if the
  	 * pivot column consists of only IEEE subnormals. */
  
  	for (i = 0 ; i < n ; i++)
  	{
  	    /* X [i] /= pivot ; */
  	    x = X [i] ;
  	    DIV (X [i], x, pivot) ;
  	}
      }
  }