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fvn_sparse/AMD/MATLAB/amd_mex.c 5.91 KB
422234dc3   daniau   git-svn-id: https...
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  /* ========================================================================= */
  /* === AMD mexFunction ===================================================== */
  /* ========================================================================= */
  
  /* ------------------------------------------------------------------------- */
  /* 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                          */
  /* ------------------------------------------------------------------------- */
  
  /*
   * Usage:
   *	p = amd (A)
   *	p = amd (A, Control)
   *	[p, Info] = amd (A)
   *	[p, Info] = amd (A, Control)
   *	Control = amd ;	    % return the default Control settings for AMD
   *	amd ;		    % print the default Control settings for AMD
   *
   * Given a square matrix A, compute a permutation P suitable for a Cholesky
   * factorization of the matrix B (P,P), where B = spones (A) + spones (A').
   * The method used is the approximate minimum degree ordering method.  See
   * amd.m and amd.h for more information.
   *
   * The input matrix need not have sorted columns, and can have duplicate
   * entries.
   */
  
  #include "amd.h"
  #include "mex.h"
  #include "matrix.h"
  #include "UFconfig.h"
  
  void mexFunction
  (
      int	nargout,
      mxArray *pargout [ ],
      int	nargin,
      const mxArray *pargin [ ]
  )
  {
      UF_long i, m, n, *Ap, *Ai, *P, nc, result, spumoni, full ;
      double *Pout, *InfoOut, Control [AMD_CONTROL], Info [AMD_INFO], *ControlIn ;
      mxArray *A ;
  
      /* --------------------------------------------------------------------- */
      /* get control parameters */
      /* --------------------------------------------------------------------- */
  
      amd_malloc = mxMalloc ;
      amd_free = mxFree ;
      amd_calloc = mxCalloc ;
      amd_realloc = mxRealloc ;
      amd_printf = mexPrintf ;
  
      spumoni = 0 ;
      if (nargin == 0)
      {
  	/* get the default control parameters, and return */
  	pargout [0] = mxCreateDoubleMatrix (AMD_CONTROL, 1, mxREAL) ;
  	amd_l_defaults (mxGetPr (pargout [0])) ;
  	if (nargout == 0)
  	{
  	    amd_l_control (mxGetPr (pargout [0])) ;
  	}
  	return ;
      }
  
      amd_l_defaults (Control) ;
      if (nargin > 1)
      {
  	ControlIn = mxGetPr (pargin [1]) ;
  	nc = mxGetM (pargin [1]) * mxGetN (pargin [1]) ;
  	Control [AMD_DENSE]
  	    = (nc > 0) ? ControlIn [AMD_DENSE] : AMD_DEFAULT_DENSE ;
  	Control [AMD_AGGRESSIVE]
  	    = (nc > 1) ? ControlIn [AMD_AGGRESSIVE] : AMD_DEFAULT_AGGRESSIVE ;
  	spumoni = (nc > 2) ? (ControlIn [2] != 0) : 0 ;
      }
  
      if (spumoni > 0)
      {
  	amd_l_control (Control) ;
      }
  
      /* --------------------------------------------------------------------- */
      /* get inputs */
      /* --------------------------------------------------------------------- */
  
      if (nargout > 2 || nargin > 2)
      {
  	mexErrMsgTxt ("Usage: p = amd (A)
  or [p, Info] = amd (A, Control)") ;
      }
  
      A = (mxArray *) pargin [0] ;
      n = mxGetN (A) ;
      m = mxGetM (A) ;
      if (spumoni > 0)
      {
  	mexPrintf ("    input matrix A is %d-by-%d
  ", m, n) ;
      }
      if (mxGetNumberOfDimensions (A) != 2)
      {
  	mexErrMsgTxt ("amd: A must be 2-dimensional") ;
      }
      if (m != n)
      {
      	mexErrMsgTxt ("amd: A must be square") ;
      }
  
      /* --------------------------------------------------------------------- */
      /* allocate workspace for output permutation */
      /* --------------------------------------------------------------------- */
  
      P = mxMalloc ((n+1) * sizeof (UF_long)) ;
  
      /* --------------------------------------------------------------------- */
      /* if A is full, convert to a sparse matrix */
      /* --------------------------------------------------------------------- */
  
      full = !mxIsSparse (A) ;
      if (full)
      {
  	if (spumoni > 0)
  	{
  	    mexPrintf (
  	    "    input matrix A is full (sparse copy of A will be created)
  ");
  	}
  	mexCallMATLAB (1, &A, 1, (mxArray **) pargin, "sparse") ;
      }
      Ap = (UF_long *) mxGetJc (A) ;
      Ai = (UF_long *) mxGetIr (A) ;
      if (spumoni > 0)
      {
  	mexPrintf ("    input matrix A has %d nonzero entries
  ", Ap [n]) ;
      }
  
      /* --------------------------------------------------------------------- */
      /* order the matrix */
      /* --------------------------------------------------------------------- */
  
      result = amd_l_order (n, Ap, Ai, P, Control, Info) ;
  
      /* --------------------------------------------------------------------- */
      /* if A is full, free the sparse copy of A */
      /* --------------------------------------------------------------------- */
  
      if (full)
      {
  	mxDestroyArray (A) ;
      }
  
      /* --------------------------------------------------------------------- */
      /* print results (including return value) */
      /* --------------------------------------------------------------------- */
  
      if (spumoni > 0)
      {
  	amd_l_info (Info) ;
      }
  
      /* --------------------------------------------------------------------- */
      /* check error conditions */
      /* --------------------------------------------------------------------- */
  
      if (result == AMD_OUT_OF_MEMORY)
      {
  	mexErrMsgTxt ("amd: out of memory") ;
      }
      else if (result == AMD_INVALID)
      {
  	mexErrMsgTxt ("amd: input matrix A is corrupted") ;
      }
  
      /* --------------------------------------------------------------------- */
      /* copy the outputs to MATLAB */
      /* --------------------------------------------------------------------- */
  
      /* output permutation, P */
      pargout [0] = mxCreateDoubleMatrix (1, n, mxREAL) ;
      Pout = mxGetPr (pargout [0])  ;
      for (i = 0 ; i < n ; i++)
      {
  	Pout [i] = P [i] + 1 ;	    /* change to 1-based indexing for MATLAB */
      }
      mxFree (P) ;
  
      /* Info */
      if (nargout > 1)
      {
  	pargout [1] = mxCreateDoubleMatrix (AMD_INFO, 1, mxREAL) ;
  	InfoOut = mxGetPr (pargout [1]) ;
  	for (i = 0 ; i < AMD_INFO ; i++)
  	{
  	    InfoOut [i] = Info [i] ;
  	}
      }
  }