/*! @file cgsitf.c

 * \brief Computes an ILU factorization of a general sparse matrix

 *

 * 

 * -- SuperLU routine (version 4.1) --

 * Lawrence Berkeley National Laboratory.

 * June 30, 2009

 * 

 */

#include "slu_cdefs.h"

#ifdef DEBUG

int num_drop_L;

#endif

/*! \brief

 *

 * 

 * Purpose

 * =======

 *

 * CGSITRF 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_C; 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_C, 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_C, Mtype = SLU_TRU.

 *

 * 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().

 * 

 */

void

cgsitrf(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, 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;

    complex   *cwork;

    int       *segrep, *repfnz, *parent, *xplore;

    int       *panel_lsub; /* dense[]/panel_lsub[] pair forms a w-wide SPA */

    int       *marker, *marker_relax;

    complex    *dense, *tempv;

    float *stempv;

    int       *relax_end, *relax_fsupc;

    complex    *a;

    int       *asub;

    int       *xa_begin, *xa_end;

    int       *xsup, *supno;

    int       *xlsub, *xlusup, *xusub;

    int       nzlumax;

    float    *amax; 

    complex    drop_sum;

    float alpha, omega;  /* used in MILU, mimicing DRIC */

    static GlobalLU_t Glu; /* persistent to facilitate multiple factors. */

    float    *swork2;	   /* 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;

    complex zero = {0.0, 0.0};

    float 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 = cLUMemInit(fact, work, lwork, m, n, Astore->nnz, panel_size,

		       gamma, L, U, &Glu, &iwork, &cwork);

    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);

    cSetRWork(m, panel_size, cwork, &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 = (float *) floatMalloc(panel_size);

    if (drop_rule & DROP_SECONDARY)

	swork2 = (float *)floatMalloc(n);

    else

	swork2 = 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 */

                stempv = (float *) tempv;

		i = ilu_cdrop_row(options, first, last, tol_L, quota, &nnzLj,

				  &fill_tol, &Glu, stempv, swork2, 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_csnode_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 = cLUMemXpand(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 float tmp = c_abs1 (&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 */

		csnode_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_cpivotL(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_cpanel_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 */

	    cpanel_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_ccolumn_dfs(m, jj, perm_r, &nseg,

					     &panel_lsub[k], segrep, &repfnz[k],

					     marker, parent, xplore, &Glu)))

		    return;

		/* Numeric updates */

		if ((*info = ccolumn_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 = cLUMemXpand(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]++;

		    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_ccopy_to_ucol(jj, nseg, segrep, &repfnz[k],

					       perm_r, &dense[k], drop_rule,

					       milu, amax[jj - jcol] * tol_U,

					       quota, &drop_sum, &nnzUj, &Glu,

					       swork2)) != 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.r != 0.0 && drop_sum.i != 0.0)

		{

                    omega = SUPERLU_MIN(2.0*(1.0-alpha)/c_abs1(&drop_sum), 1.0);

                    cs_mult(&drop_sum, &drop_sum, omega);

		}

		if (usepr) pivrow = iperm_r[jj];

		fill_tol = pow(fill_ini, 1.0 - (double)jj / (double)min_mn);

		if ( (*info = ilu_cpivotL(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 */

                    stempv = (float *) tempv;

		    i = ilu_cdrop_row(options, first, last, tol_L, quota,

				      &nnzLj, &fill_tol, &Glu, stempv, swork2,

				      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);

    cLUWorkFree(iwork, cwork, &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 = 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 = Glu.ucol;

	((NCformat *)U->Store)->rowind = Glu.usub;

	((NCformat *)U->Store)->colptr = Glu.xusub;

    } else {

	cCreate_SuperNode_Matrix(L, A->nrow, min_mn, nnzL, Glu.lusup,

				 Glu.xlusup, Glu.lsub, Glu.xlsub, Glu.supno,

				 Glu.xsup, SLU_SC, SLU_C, SLU_TRLU);

	cCreate_CompCol_Matrix(U, min_mn, min_mn, nnzU, Glu.ucol,

			       Glu.usub, Glu.xusub, SLU_NC, SLU_C, 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 ( swork2 ) SUPERLU_FREE (swork2);

}