
/*! @file dgsitrf.c
 * \brief Computes an ILU factorization of a general sparse matrix
 *
 * <pre>
 * -- SuperLU routine (version 4.1) --
 * Lawrence Berkeley National Laboratory.
 * June 30, 2009
 *
 * </pre>
 */

#include "slu_ddefs.h"

#ifdef DEBUG
int num_drop_L;
#endif

/*! \brief
 *
 * <pre>
 * Purpose
 * =======
 *
 * DGSITRF computes an ILU factorization of a general sparse m-by-n
 * matrix A using partial pivoting with row interchanges.
 * The factorization has the form
 *     Pr * A = L * U
 * where Pr is a row permutation matrix, L is lower triangular with unit
 * diagonal elements (lower trapezoidal if A->nrow > A->ncol), and U is upper
 * triangular (upper trapezoidal if A->nrow < A->ncol).
 *
 * See supermatrix.h for the definition of 'SuperMatrix' structure.
 *
 * Arguments
 * =========
 *
 * options (input) superlu_options_t*
 *	   The structure defines the input parameters to control
 *	   how the ILU decomposition will be performed.
 *
 * A	    (input) SuperMatrix*
 *	    Original matrix A, permuted by columns, of dimension
 *	    (A->nrow, A->ncol). The type of A can be:
 *	    Stype = SLU_NCP; Dtype = SLU_D; Mtype = SLU_GE.
 *
 * relax    (input) int
 *	    To control degree of relaxing supernodes. If the number
 *	    of nodes (columns) in a subtree of the elimination tree is less
 *	    than relax, this subtree is considered as one supernode,
 *	    regardless of the row structures of those columns.
 *
 * panel_size (input) int
 *	    A panel consists of at most panel_size consecutive columns.
 *
 * etree    (input) int*, dimension (A->ncol)
 *	    Elimination tree of A'*A.
 *	    Note: etree is a vector of parent pointers for a forest whose
 *	    vertices are the integers 0 to A->ncol-1; etree[root]==A->ncol.
 *	    On input, the columns of A should be permuted so that the
 *	    etree is in a certain postorder.
 *
 * work     (input/output) void*, size (lwork) (in bytes)
 *	    User-supplied work space and space for the output data structures.
 *	    Not referenced if lwork = 0;
 *
 * lwork   (input) int
 *	   Specifies the size of work array in bytes.
 *	   = 0:  allocate space internally by system malloc;
 *	   > 0:  use user-supplied work array of length lwork in bytes,
 *		 returns error if space runs out.
 *	   = -1: the routine guesses the amount of space needed without
 *		 performing the factorization, and returns it in
 *		 *info; no other side effects.
 *
 * perm_c   (input) int*, dimension (A->ncol)
 *	    Column permutation vector, which defines the
 *	    permutation matrix Pc; perm_c[i] = j means column i of A is
 *	    in position j in A*Pc.
 *	    When searching for diagonal, perm_c[*] is applied to the
 *	    row subscripts of A, so that diagonal threshold pivoting
 *	    can find the diagonal of A, rather than that of A*Pc.
 *
 * perm_r   (input/output) int*, dimension (A->nrow)
 *	    Row permutation vector which defines the permutation matrix Pr,
 *	    perm_r[i] = j means row i of A is in position j in Pr*A.
 *	    If options->Fact = SamePattern_SameRowPerm, the pivoting routine
 *	       will try to use the input perm_r, unless a certain threshold
 *	       criterion is violated. In that case, perm_r is overwritten by
 *	       a new permutation determined by partial pivoting or diagonal
 *	       threshold pivoting.
 *	    Otherwise, perm_r is output argument;
 *
 * L	    (output) SuperMatrix*
 *	    The factor L from the factorization Pr*A=L*U; use compressed row
 *	    subscripts storage for supernodes, i.e., L has type:
 *	    Stype = SLU_SC, Dtype = SLU_D, Mtype = SLU_TRLU.
 *
 * U	    (output) SuperMatrix*
 *	    The factor U from the factorization Pr*A*Pc=L*U. Use column-wise
 *	    storage scheme, i.e., U has types: Stype = SLU_NC,
 *	    Dtype = SLU_D, Mtype = SLU_TRU.
 *
 * Glu      (input/output) GlobalLU_t *
 *          If options->Fact == SamePattern_SameRowPerm, it is an input;
 *              The matrix A will be factorized assuming that a 
 *              factorization of a matrix with the same sparsity pattern
 *              and similar numerical values was performed prior to this one.
 *              Therefore, this factorization will reuse both row and column
 *		scaling factors R and C, both row and column permutation
 *		vectors perm_r and perm_c, and the L & U data structures
 *		set up from the previous factorization.
 *          Otherwise, it is an output.
 *
 * stat     (output) SuperLUStat_t*
 *	    Record the statistics on runtime and floating-point operation count.
 *	    See slu_util.h for the definition of 'SuperLUStat_t'.
 *
 * info     (output) int*
 *	    = 0: successful exit
 *	    < 0: if info = -i, the i-th argument had an illegal value
 *	    > 0: if info = i, and i is
 *	       <= A->ncol: number of zero pivots. They are replaced by small
 *		  entries according to options->ILU_FillTol.
 *	       > A->ncol: number of bytes allocated when memory allocation
 *		  failure occurred, plus A->ncol. If lwork = -1, it is
 *		  the estimated amount of space needed, plus A->ncol.
 *
 * ======================================================================
 *
 * Local Working Arrays:
 * ======================
 *   m = number of rows in the matrix
 *   n = number of columns in the matrix
 *
 *   marker[0:3*m-1]: marker[i] = j means that node i has been
 *	reached when working on column j.
 *	Storage: relative to original row subscripts
 *	NOTE: There are 4 of them:
 *	      marker/marker1 are used for panel dfs, see (ilu_)dpanel_dfs.c;
 *	      marker2 is used for inner-factorization, see (ilu)_dcolumn_dfs.c;
 *	      marker_relax(has its own space) is used for relaxed supernodes.
 *
 *   parent[0:m-1]: parent vector used during dfs
 *	Storage: relative to new row subscripts
 *
 *   xplore[0:m-1]: xplore[i] gives the location of the next (dfs)
 *	unexplored neighbor of i in lsub[*]
 *
 *   segrep[0:nseg-1]: contains the list of supernodal representatives
 *	in topological order of the dfs. A supernode representative is the
 *	last column of a supernode.
 *	The maximum size of segrep[] is n.
 *
 *   repfnz[0:W*m-1]: for a nonzero segment U[*,j] that ends at a
 *	supernodal representative r, repfnz[r] is the location of the first
 *	nonzero in this segment.  It is also used during the dfs: repfnz[r]>0
 *	indicates the supernode r has been explored.
 *	NOTE: There are W of them, each used for one column of a panel.
 *
 *   panel_lsub[0:W*m-1]: temporary for the nonzeros row indices below
 *	the panel diagonal. These are filled in during dpanel_dfs(), and are
 *	used later in the inner LU factorization within the panel.
 *	panel_lsub[]/dense[] pair forms the SPA data structure.
 *	NOTE: There are W of them.
 *
 *   dense[0:W*m-1]: sparse accumulating (SPA) vector for intermediate values;
 *		   NOTE: there are W of them.
 *
 *   tempv[0:*]: real temporary used for dense numeric kernels;
 *	The size of this array is defined by NUM_TEMPV() in slu_util.h.
 *	It is also used by the dropping routine ilu_ddrop_row().
 * </pre>
 */

void
dgsitrf(superlu_options_t *options, SuperMatrix *A, int relax, int panel_size,
	int *etree, void *work, int lwork, int *perm_c, int *perm_r,
	SuperMatrix *L, SuperMatrix *U, 
    	GlobalLU_t *Glu, /* persistent to facilitate multiple factorizations */
	SuperLUStat_t *stat, int *info)
{
    /* Local working arrays */
    NCPformat *Astore;
    int       *iperm_r = NULL; /* inverse of perm_r; used when
				  options->Fact == SamePattern_SameRowPerm */
    int       *iperm_c; /* inverse of perm_c */
    int       *swap, *iswap; /* swap is used to store the row permutation
				during the factorization. Initially, it is set
				to iperm_c (row indeces of Pc*A*Pc').
				iswap is the inverse of swap. After the
				factorization, it is equal to perm_r. */
    int       *iwork;
    double   *dwork;
    int       *segrep, *repfnz, *parent, *xplore;
    int       *panel_lsub; /* dense[]/panel_lsub[] pair forms a w-wide SPA */
    int       *marker, *marker_relax;
    double    *dense, *tempv;
    int       *relax_end, *relax_fsupc;
    double    *a;
    int       *asub;
    int       *xa_begin, *xa_end;
    int       *xsup, *supno;
    int       *xlsub, *xlusup, *xusub;
    int       nzlumax;
    double    *amax; 
    double    drop_sum;
    double alpha, omega;  /* used in MILU, mimicing DRIC */
    double    *dwork2;	   /* used by the second dropping rule */

    /* Local scalars */
    fact_t    fact = options->Fact;
    double    diag_pivot_thresh = options->DiagPivotThresh;
    double    drop_tol = options->ILU_DropTol; /* tau */
    double    fill_ini = options->ILU_FillTol; /* tau^hat */
    double    gamma = options->ILU_FillFactor;
    int       drop_rule = options->ILU_DropRule;
    milu_t    milu = options->ILU_MILU;
    double    fill_tol;
    int       pivrow;	/* pivotal row number in the original matrix A */
    int       nseg1;	/* no of segments in U-column above panel row jcol */
    int       nseg;	/* no of segments in each U-column */
    register int jcol;
    register int kcol;	/* end column of a relaxed snode */
    register int icol;
    register int i, k, jj, new_next, iinfo;
    int       m, n, min_mn, jsupno, fsupc, nextlu, nextu;
    int       w_def;	/* upper bound on panel width */
    int       usepr, iperm_r_allocated = 0;
    int       nnzL, nnzU;
    int       *panel_histo = stat->panel_histo;
    flops_t   *ops = stat->ops;

    int       last_drop;/* the last column which the dropping rules applied */
    int       quota;
    int       nnzAj;	/* number of nonzeros in A(:,1:j) */
    int       nnzLj, nnzUj;
    double    tol_L = drop_tol, tol_U = drop_tol;
    double zero = 0.0;
    double one = 1.0;

    /* Executable */	   
    iinfo    = 0;
    m	     = A->nrow;
    n	     = A->ncol;
    min_mn   = SUPERLU_MIN(m, n);
    Astore   = A->Store;
    a	     = Astore->nzval;
    asub     = Astore->rowind;
    xa_begin = Astore->colbeg;
    xa_end   = Astore->colend;

    /* Allocate storage common to the factor routines */
    *info = dLUMemInit(fact, work, lwork, m, n, Astore->nnz, panel_size,
		       gamma, L, U, Glu, &iwork, &dwork);
    if ( *info ) return;

    xsup    = Glu->xsup;
    supno   = Glu->supno;
    xlsub   = Glu->xlsub;
    xlusup  = Glu->xlusup;
    xusub   = Glu->xusub;

    SetIWork(m, n, panel_size, iwork, &segrep, &parent, &xplore,
	     &repfnz, &panel_lsub, &marker_relax, &marker);
    dSetRWork(m, panel_size, dwork, &dense, &tempv);

    usepr = (fact == SamePattern_SameRowPerm);
    if ( usepr ) {
	/* Compute the inverse of perm_r */
	iperm_r = (int *) intMalloc(m);
	for (k = 0; k < m; ++k) iperm_r[perm_r[k]] = k;
	iperm_r_allocated = 1;
    }

    iperm_c = (int *) intMalloc(n);
    for (k = 0; k < n; ++k) iperm_c[perm_c[k]] = k;
    swap = (int *)intMalloc(n);
    for (k = 0; k < n; k++) swap[k] = iperm_c[k];
    iswap = (int *)intMalloc(n);
    for (k = 0; k < n; k++) iswap[k] = perm_c[k];
    amax = (double *) doubleMalloc(panel_size);
    if (drop_rule & DROP_SECONDARY)
	dwork2 = (double *)doubleMalloc(n);
    else
	dwork2 = NULL;

    nnzAj = 0;
    nnzLj = 0;
    nnzUj = 0;
    last_drop = SUPERLU_MAX(min_mn - 2 * sp_ienv(7), (int)(min_mn * 0.95));
    alpha = pow((double)n, -1.0 / options->ILU_MILU_Dim);

    /* Identify relaxed snodes */
    relax_end = (int *) intMalloc(n);
    relax_fsupc = (int *) intMalloc(n);
    if ( options->SymmetricMode == YES )
	ilu_heap_relax_snode(n, etree, relax, marker, relax_end, relax_fsupc);
    else
	ilu_relax_snode(n, etree, relax, marker, relax_end, relax_fsupc);

    ifill (perm_r, m, EMPTY);
    ifill (marker, m * NO_MARKER, EMPTY);
    supno[0] = -1;
    xsup[0]  = xlsub[0] = xusub[0] = xlusup[0] = 0;
    w_def    = panel_size;

    /* Mark the rows used by relaxed supernodes */
    ifill (marker_relax, m, EMPTY);
    i = mark_relax(m, relax_end, relax_fsupc, xa_begin, xa_end,
	         asub, marker_relax);
#if ( PRNTlevel >= 1)
    printf("%d relaxed supernodes.\n", i);
#endif

    /*
     * Work on one "panel" at a time. A panel is one of the following:
     *	   (a) a relaxed supernode at the bottom of the etree, or
     *	   (b) panel_size contiguous columns, defined by the user
     */
    for (jcol = 0; jcol < min_mn; ) {

	if ( relax_end[jcol] != EMPTY ) { /* start of a relaxed snode */
	    kcol = relax_end[jcol];	  /* end of the relaxed snode */
	    panel_histo[kcol-jcol+1]++;

	    /* Drop small rows in the previous supernode. */
	    if (jcol > 0 && jcol < last_drop) {
		int first = xsup[supno[jcol - 1]];
		int last = jcol - 1;
		int quota;

		/* Compute the quota */
		if (drop_rule & DROP_PROWS)
		    quota = gamma * Astore->nnz / m * (m - first) / m
			    * (last - first + 1);
		else if (drop_rule & DROP_COLUMN) {
		    int i;
		    quota = 0;
		    for (i = first; i <= last; i++)
			quota += xa_end[i] - xa_begin[i];
		    quota = gamma * quota * (m - first) / m;
		} else if (drop_rule & DROP_AREA)
		    quota = gamma * nnzAj * (1.0 - 0.5 * (last + 1.0) / m)
			    - nnzLj;
		else
		    quota = m * n;
		fill_tol = pow(fill_ini, 1.0 - 0.5 * (first + last) / min_mn);

		/* Drop small rows */
		i = ilu_ddrop_row(options, first, last, tol_L, quota, &nnzLj,
				  &fill_tol, Glu, tempv, dwork2, 0);
		/* Reset the parameters */
		if (drop_rule & DROP_DYNAMIC) {
		    if (gamma * nnzAj * (1.0 - 0.5 * (last + 1.0) / m)
			     < nnzLj)
			tol_L = SUPERLU_MIN(1.0, tol_L * 2.0);
		    else
			tol_L = SUPERLU_MAX(drop_tol, tol_L * 0.5);
		}
		if (fill_tol < 0) iinfo -= (int)fill_tol;
#ifdef DEBUG
		num_drop_L += i * (last - first + 1);
#endif
	    }

	    /* --------------------------------------
	     * Factorize the relaxed supernode(jcol:kcol)
	     * -------------------------------------- */
	    /* Determine the union of the row structure of the snode */
	    if ( (*info = ilu_dsnode_dfs(jcol, kcol, asub, xa_begin, xa_end,
					 marker, Glu)) != 0 )
		return;

	    nextu    = xusub[jcol];
	    nextlu   = xlusup[jcol];
	    jsupno   = supno[jcol];
	    fsupc    = xsup[jsupno];
	    new_next = nextlu + (xlsub[fsupc+1]-xlsub[fsupc])*(kcol-jcol+1);
	    nzlumax = Glu->nzlumax;
	    while ( new_next > nzlumax ) {
		if ((*info = dLUMemXpand(jcol, nextlu, LUSUP, &nzlumax, Glu)))
		    return;
	    }

	    for (icol = jcol; icol <= kcol; icol++) {
		xusub[icol+1] = nextu;

		amax[0] = 0.0;
		/* Scatter into SPA dense[*] */
		for (k = xa_begin[icol]; k < xa_end[icol]; k++) {
		    register double tmp = fabs(a[k]);
		    if (tmp > amax[0]) amax[0] = tmp;
		    dense[asub[k]] = a[k];
		}
		nnzAj += xa_end[icol] - xa_begin[icol];
		if (amax[0] == 0.0) {
		    amax[0] = fill_ini;
#if ( PRNTlevel >= 1)
		    printf("Column %d is entirely zero!\n", icol);
		    fflush(stdout);
#endif
		}

		/* Numeric update within the snode */
		dsnode_bmod(icol, jsupno, fsupc, dense, tempv, Glu, stat);

		if (usepr) pivrow = iperm_r[icol];
		fill_tol = pow(fill_ini, 1.0 - (double)icol / (double)min_mn);
		if ( (*info = ilu_dpivotL(icol, diag_pivot_thresh, &usepr,
					  perm_r, iperm_c[icol], swap, iswap,
					  marker_relax, &pivrow,
                                          amax[0] * fill_tol, milu, zero,
                                          Glu, stat)) ) {
		    iinfo++;
		    marker[pivrow] = kcol;
		}

	    }

	    jcol = kcol + 1;

	} else { /* Work on one panel of panel_size columns */

	    /* Adjust panel_size so that a panel won't overlap with the next
	     * relaxed snode.
	     */
	    panel_size = w_def;
	    for (k = jcol + 1; k < SUPERLU_MIN(jcol+panel_size, min_mn); k++)
		if ( relax_end[k] != EMPTY ) {
		    panel_size = k - jcol;
		    break;
		}
	    if ( k == min_mn ) panel_size = min_mn - jcol;
	    panel_histo[panel_size]++;

	    /* symbolic factor on a panel of columns */
	    ilu_dpanel_dfs(m, panel_size, jcol, A, perm_r, &nseg1,
                          dense, amax, panel_lsub, segrep, repfnz,
                          marker, parent, xplore, Glu);

	    /* numeric sup-panel updates in topological order */
	    dpanel_bmod(m, panel_size, jcol, nseg1, dense,
			tempv, segrep, repfnz, Glu, stat);

	    /* Sparse LU within the panel, and below panel diagonal */
	    for (jj = jcol; jj < jcol + panel_size; jj++) {

		k = (jj - jcol) * m; /* column index for w-wide arrays */

		nseg = nseg1;	/* Begin after all the panel segments */

		nnzAj += xa_end[jj] - xa_begin[jj];

		if ((*info = ilu_dcolumn_dfs(m, jj, perm_r, &nseg,
					     &panel_lsub[k], segrep, &repfnz[k],
					     marker, parent, xplore, Glu)))
		    return;

		/* Numeric updates */
		if ((*info = dcolumn_bmod(jj, (nseg - nseg1), &dense[k],
					  tempv, &segrep[nseg1], &repfnz[k],
					  jcol, Glu, stat)) != 0) return;

		/* Make a fill-in position if the column is entirely zero */
		if (xlsub[jj + 1] == xlsub[jj]) {
		    register int i, row;
		    int nextl;
		    int nzlmax = Glu->nzlmax;
		    int *lsub = Glu->lsub;
		    int *marker2 = marker + 2 * m;

		    /* Allocate memory */
		    nextl = xlsub[jj] + 1;
		    if (nextl >= nzlmax) {
			int error = dLUMemXpand(jj, nextl, LSUB, &nzlmax, Glu);
			if (error) { *info = error; return; }
			lsub = Glu->lsub;
		    }
		    xlsub[jj + 1]++;
		    assert(xlusup[jj]==xlusup[jj+1]);
		    xlusup[jj + 1]++;
		    ((double *) Glu->lusup)[xlusup[jj]] = zero;

		    /* Choose a row index (pivrow) for fill-in */
		    for (i = jj; i < n; i++)
			if (marker_relax[swap[i]] <= jj) break;
		    row = swap[i];
		    marker2[row] = jj;
		    lsub[xlsub[jj]] = row;
#ifdef DEBUG
		    printf("Fill col %d.\n", jj);
		    fflush(stdout);
#endif
		}

		/* Computer the quota */
		if (drop_rule & DROP_PROWS)
		    quota = gamma * Astore->nnz / m * jj / m;
		else if (drop_rule & DROP_COLUMN)
		    quota = gamma * (xa_end[jj] - xa_begin[jj]) *
			    (jj + 1) / m;
		else if (drop_rule & DROP_AREA)
		    quota = gamma * 0.9 * nnzAj * 0.5 - nnzUj;
		else
		    quota = m;

		/* Copy the U-segments to ucol[*] and drop small entries */
		if ((*info = ilu_dcopy_to_ucol(jj, nseg, segrep, &repfnz[k],
					       perm_r, &dense[k], drop_rule,
					       milu, amax[jj - jcol] * tol_U,
					       quota, &drop_sum, &nnzUj, Glu,
					       dwork2)) != 0)
		    return;

		/* Reset the dropping threshold if required */
		if (drop_rule & DROP_DYNAMIC) {
		    if (gamma * 0.9 * nnzAj * 0.5 < nnzLj)
			tol_U = SUPERLU_MIN(1.0, tol_U * 2.0);
		    else
			tol_U = SUPERLU_MAX(drop_tol, tol_U * 0.5);
		}

		if (drop_sum != zero)
		{
		    if (drop_sum > zero)
			omega = SUPERLU_MIN(2.0 * (1.0 - alpha)
				* amax[jj - jcol] / drop_sum, one);
		    else
			omega = SUPERLU_MAX(2.0 * (1.0 - alpha)
				* amax[jj - jcol] / drop_sum, -one);
		    drop_sum *= omega;
                }
		if (usepr) pivrow = iperm_r[jj];
		fill_tol = pow(fill_ini, 1.0 - (double)jj / (double)min_mn);
		if ( (*info = ilu_dpivotL(jj, diag_pivot_thresh, &usepr, perm_r,
					  iperm_c[jj], swap, iswap,
					  marker_relax, &pivrow,
					  amax[jj - jcol] * fill_tol, milu,
					  drop_sum, Glu, stat)) ) {
		    iinfo++;
		    marker[m + pivrow] = jj;
		    marker[2 * m + pivrow] = jj;
		}

		/* Reset repfnz[] for this column */
		resetrep_col (nseg, segrep, &repfnz[k]);

		/* Start a new supernode, drop the previous one */
		if (jj > 0 && supno[jj] > supno[jj - 1] && jj < last_drop) {
		    int first = xsup[supno[jj - 1]];
		    int last = jj - 1;
		    int quota;

		    /* Compute the quota */
		    if (drop_rule & DROP_PROWS)
			quota = gamma * Astore->nnz / m * (m - first) / m
				* (last - first + 1);
		    else if (drop_rule & DROP_COLUMN) {
			int i;
			quota = 0;
			for (i = first; i <= last; i++)
			    quota += xa_end[i] - xa_begin[i];
			quota = gamma * quota * (m - first) / m;
		    } else if (drop_rule & DROP_AREA)
			quota = gamma * nnzAj * (1.0 - 0.5 * (last + 1.0)
				/ m) - nnzLj;
		    else
			quota = m * n;
		    fill_tol = pow(fill_ini, 1.0 - 0.5 * (first + last) /
			    (double)min_mn);

		    /* Drop small rows */
		    i = ilu_ddrop_row(options, first, last, tol_L, quota,
				      &nnzLj, &fill_tol, Glu, tempv, dwork2,
				      1);

		    /* Reset the parameters */
		    if (drop_rule & DROP_DYNAMIC) {
			if (gamma * nnzAj * (1.0 - 0.5 * (last + 1.0) / m)
				< nnzLj)
			    tol_L = SUPERLU_MIN(1.0, tol_L * 2.0);
			else
			    tol_L = SUPERLU_MAX(drop_tol, tol_L * 0.5);
		    }
		    if (fill_tol < 0) iinfo -= (int)fill_tol;
#ifdef DEBUG
		    num_drop_L += i * (last - first + 1);
#endif
		} /* if start a new supernode */

	    } /* for */

	    jcol += panel_size; /* Move to the next panel */

	} /* else */

    } /* for */

    *info = iinfo;

    if ( m > n ) {
	k = 0;
	for (i = 0; i < m; ++i)
	    if ( perm_r[i] == EMPTY ) {
		perm_r[i] = n + k;
		++k;
	    }
    }

    ilu_countnz(min_mn, &nnzL, &nnzU, Glu);
    fixupL(min_mn, perm_r, Glu);

    dLUWorkFree(iwork, dwork, Glu); /* Free work space and compress storage */

    if ( fact == SamePattern_SameRowPerm ) {
	/* L and U structures may have changed due to possibly different
	   pivoting, even though the storage is available.
	   There could also be memory expansions, so the array locations
	   may have changed, */
	((SCformat *)L->Store)->nnz = nnzL;
	((SCformat *)L->Store)->nsuper = Glu->supno[n];
	((SCformat *)L->Store)->nzval = (double *) Glu->lusup;
	((SCformat *)L->Store)->nzval_colptr = Glu->xlusup;
	((SCformat *)L->Store)->rowind = Glu->lsub;
	((SCformat *)L->Store)->rowind_colptr = Glu->xlsub;
	((NCformat *)U->Store)->nnz = nnzU;
	((NCformat *)U->Store)->nzval = (double *) Glu->ucol;
	((NCformat *)U->Store)->rowind = Glu->usub;
	((NCformat *)U->Store)->colptr = Glu->xusub;
    } else {
	dCreate_SuperNode_Matrix(L, A->nrow, min_mn, nnzL,
              (double *) Glu->lusup, Glu->xlusup,
              Glu->lsub, Glu->xlsub, Glu->supno, Glu->xsup,
	      SLU_SC, SLU_D, SLU_TRLU);
	dCreate_CompCol_Matrix(U, min_mn, min_mn, nnzU,
	      (double *) Glu->ucol, Glu->usub, Glu->xusub,
	      SLU_NC, SLU_D, SLU_TRU);
    }

    ops[FACT] += ops[TRSV] + ops[GEMV];
    stat->expansions = --(Glu->num_expansions);

    if ( iperm_r_allocated ) SUPERLU_FREE (iperm_r);
    SUPERLU_FREE (iperm_c);
    SUPERLU_FREE (relax_end);
    SUPERLU_FREE (swap);
    SUPERLU_FREE (iswap);
    SUPERLU_FREE (relax_fsupc);
    SUPERLU_FREE (amax);
    if ( dwork2 ) SUPERLU_FREE (dwork2);

}
