int main (void)
{

    /* ====================================================================== */
    /* input matrix A definition */
    /* ====================================================================== */

    Long A [ALEN] = {

    	0, 1, 4,		/* row indices of nonzeros in column 0 */
	2, 4,			/* row indices of nonzeros in column 1 */
	0, 1, 2, 3,		/* row indices of nonzeros in column 2 */
	1, 3} ;			/* row indices of nonzeros in column 3 */

    Long p [ ] = {

    	0,			/* column 0 is in A [0..2] */
	3,			/* column 1 is in A [3..4] */ 
	5,			/* column 2 is in A [5..8] */
	9,			/* column 3 is in A [9..10] */
	A_NNZ} ;		/* number of nonzeros in A */

    /* ====================================================================== */
    /* input matrix B definition */
    /* ====================================================================== */

    Long B [ ] = {              /* Note: only strictly lower triangular part */
    				/* is included, since symamd ignores the */
				/* diagonal and upper triangular part of B. */

    	1,			/* row indices of nonzeros in column 0 */
    	2, 3,			/* row indices of nonzeros in column 1 */
    				/* row indices of nonzeros in column 2 (none) */
    	4			/* row indices of nonzeros in column 3 */
    	} ;			/* row indices of nonzeros in column 4 (none) */

    Long q [ ] = {

    	0,			/* column 0 is in B [0] */
	1,			/* column 1 is in B [1..2] */ 
	3,			/* column 2 is empty */
	3,			/* column 3 is in B [3] */
	4,			/* column 4 is empty */
	B_NNZ} ;		/* number of nonzeros in strictly lower B */

    /* ====================================================================== */
    /* other variable definitions */
    /* ====================================================================== */

    Long perm [B_N+1] ;	        /* note the size is N+1 */
    Long stats [COLAMD_STATS] ; /* for colamd and symamd output statistics */

    Long row, col, pp, length, ok ;

    /* ====================================================================== */
    /* dump the input matrix A */
    /* ====================================================================== */

    printf ("colamd %d-by-%d input matrix:\n", A_NROW, A_NCOL) ;
    for (col = 0 ; col < A_NCOL ; col++)
    {
	length = p [col+1] - p [col] ;
    	printf ("Column %ld, with %ld entries:\n", col, length) ;
	for (pp = p [col] ; pp < p [col+1] ; pp++)
	{
	    row = A [pp] ;
	    printf ("    row %ld\n", row) ;
	}
    }

    /* ====================================================================== */
    /* order the matrix.  Note that this destroys A and overwrites p */
    /* ====================================================================== */

    ok = colamd_l (A_NROW, A_NCOL, ALEN, A, p, (double *) NULL, stats) ;
    colamd_l_report (stats) ;

    if (!ok)
    {
	printf ("colamd error!\n") ;
	exit (1) ;
    }

    /* ====================================================================== */
    /* print the column ordering */
    /* ====================================================================== */

    printf ("colamd_l column ordering:\n") ;
    printf ("1st column: %ld\n", p [0]) ;
    printf ("2nd column: %ld\n", p [1]) ;
    printf ("3rd column: %ld\n", p [2]) ;
    printf ("4th column: %ld\n", p [3]) ;

    /* ====================================================================== */
    /* dump the strictly lower triangular part of symmetric input matrix B */
    /* ====================================================================== */

    printf ("\n\nsymamd_l %d-by-%d input matrix:\n", B_N, B_N) ;
    printf ("Entries in strictly lower triangular part:\n") ;
    for (col = 0 ; col < B_N ; col++)
    {
	length = q [col+1] - q [col] ;
    	printf ("Column %ld, with %ld entries:\n", col, length) ;
	for (pp = q [col] ; pp < q [col+1] ; pp++)
	{
	    row = B [pp] ;
	    printf ("    row %ld\n", row) ;
	}
    }

    /* ====================================================================== */
    /* order the matrix B.  Note that this does not modify B or q. */
    /* ====================================================================== */

    ok = symamd_l (B_N, B, q, perm, (double *) NULL, stats, &calloc, &free) ;
    symamd_l_report (stats) ;

    if (!ok)
    {
	printf ("symamd error!\n") ;
	exit (1) ;
    }

    /* ====================================================================== */
    /* print the symmetric ordering */
    /* ====================================================================== */

    printf ("symamd_l column ordering:\n") ;
    printf ("1st row/column: %ld\n", perm [0]) ;
    printf ("2nd row/column: %ld\n", perm [1]) ;
    printf ("3rd row/column: %ld\n", perm [2]) ;
    printf ("4th row/column: %ld\n", perm [3]) ;
    printf ("5th row/column: %ld\n", perm [4]) ;

    exit (0) ;
}
Ejemplo n.º 2
0
int CHOLMOD(colamd)
(
    /* ---- input ---- */
    cholmod_sparse *A,	/* matrix to order */
    Int *fset,		/* subset of 0:(A->ncol)-1 */
    size_t fsize,	/* size of fset */
    int postorder,	/* if TRUE, follow with a coletree postorder */
    /* ---- output --- */
    Int *Perm,		/* size A->nrow, output permutation */
    /* --------------- */
    cholmod_common *Common
)
{
    double knobs [COLAMD_KNOBS] ;
    cholmod_sparse *C ;
    Int *NewPerm, *Parent, *Post, *Work2n ;
    Int k, nrow, ncol ;
    size_t s, alen ;
    int ok = TRUE ;

    /* ---------------------------------------------------------------------- */
    /* check inputs */
    /* ---------------------------------------------------------------------- */

    RETURN_IF_NULL_COMMON (FALSE) ;
    RETURN_IF_NULL (A, FALSE) ;
    RETURN_IF_NULL (Perm, FALSE) ;
    RETURN_IF_XTYPE_INVALID (A, CHOLMOD_PATTERN, CHOLMOD_ZOMPLEX, FALSE) ;
    if (A->stype != 0)
    {
	ERROR (CHOLMOD_INVALID, "matrix must be unsymmetric") ;
	return (FALSE) ;
    }
    Common->status = CHOLMOD_OK ;

    /* ---------------------------------------------------------------------- */
    /* get inputs */
    /* ---------------------------------------------------------------------- */

    nrow = A->nrow ;
    ncol = A->ncol ;

    /* ---------------------------------------------------------------------- */
    /* allocate workspace */
    /* ---------------------------------------------------------------------- */

    /* Note: this is less than the space used in cholmod_analyze, so if
     * cholmod_colamd is being called by that routine, no space will be
     * allocated.
     */

    /* s = 4*nrow + ncol */
    s = CHOLMOD(mult_size_t) (nrow, 4, &ok) ;
    s = CHOLMOD(add_size_t) (s, ncol, &ok) ;

#ifdef LONG
    alen = colamd_l_recommended (A->nzmax, ncol, nrow) ;
    colamd_l_set_defaults (knobs) ;
#else
    alen = colamd_recommended (A->nzmax, ncol, nrow) ;
    colamd_set_defaults (knobs) ;
#endif

    if (!ok || alen == 0)
    {
	ERROR (CHOLMOD_TOO_LARGE, "matrix invalid or too large") ;
	return (FALSE) ;
    }

    CHOLMOD(allocate_work) (0, s, 0, Common) ;
    if (Common->status < CHOLMOD_OK)
    {
	return (FALSE) ;
    }

    /* ---------------------------------------------------------------------- */
    /* allocate COLAMD workspace */
    /* ---------------------------------------------------------------------- */

    /* colamd_printf is only available in colamd v2.4 or later */
    colamd_printf = Common->print_function ;

    C = CHOLMOD(allocate_sparse) (ncol, nrow, alen, TRUE, TRUE, 0,
	    CHOLMOD_PATTERN, Common) ;

    /* ---------------------------------------------------------------------- */
    /* copy (and transpose) the input matrix A into the colamd workspace */
    /* ---------------------------------------------------------------------- */

    /* C = A (:,f)', which also packs A if needed. */
    /* workspace: Iwork (nrow if no fset; MAX (nrow,ncol) if fset) */
    ok = CHOLMOD(transpose_unsym) (A, 0, NULL, fset, fsize, C, Common) ;

    /* ---------------------------------------------------------------------- */
    /* order the matrix (destroys the contents of C->i and C->p) */
    /* ---------------------------------------------------------------------- */

    /* get parameters */
    if (Common->current < 0 || Common->current >= CHOLMOD_MAXMETHODS)
    {
	/* this is the CHOLMOD default, not the COLAMD default */
	knobs [COLAMD_DENSE_ROW] = -1 ;
    }
    else
    {
	/* get the knobs from the Common parameters */
	knobs [COLAMD_DENSE_COL] = Common->method[Common->current].prune_dense ;
	knobs [COLAMD_DENSE_ROW] = Common->method[Common->current].prune_dense2;
	knobs [COLAMD_AGGRESSIVE] = Common->method[Common->current].aggressive ;
    }

    if (ok)
    {
	Int *Cp ;
	Int stats [COLAMD_STATS] ;
	Cp = C->p ;

#ifdef LONG
	colamd_l (ncol, nrow, alen, C->i, Cp, knobs, stats) ;
#else
	colamd (ncol, nrow, alen, C->i, Cp, knobs, stats) ;
#endif

	ok = stats [COLAMD_STATUS] ;
	ok = (ok == COLAMD_OK || ok == COLAMD_OK_BUT_JUMBLED) ;
	/* permutation returned in C->p, if the ordering succeeded */
	for (k = 0 ; k < nrow ; k++)
	{
	    Perm [k] = Cp [k] ;
	}
    }

    CHOLMOD(free_sparse) (&C, Common) ;

    /* ---------------------------------------------------------------------- */
    /* column etree postordering */
    /* ---------------------------------------------------------------------- */

    if (postorder)
    {
	/* use the last 2*n space in Iwork for Parent and Post */
	Work2n = Common->Iwork ;
	Work2n += 2*((size_t) nrow) + ncol ;
	Parent = Work2n ;		/* size nrow (i/i/l) */
	Post   = Work2n + nrow ;	/* size nrow (i/i/l) */

	/* workspace: Iwork (2*nrow+ncol), Flag (nrow), Head (nrow+1) */
	ok = ok && CHOLMOD(analyze_ordering) (A, CHOLMOD_COLAMD, Perm, fset,
		fsize, Parent, Post, NULL, NULL, NULL, Common) ;

	/* combine the colamd permutation with its postordering */
	if (ok)
	{
	    NewPerm = Common->Iwork ;		/* size nrow (i/i/l) */
	    for (k = 0 ; k < nrow ; k++)
	    {
		NewPerm [k] = Perm [Post [k]] ;
	    }
	    for (k = 0 ; k < nrow ; k++)
	    {
		Perm [k] = NewPerm [k] ;
	    }
	}
    }

    return (ok) ;
}