/* ========================================================================== */ /* === Partition/cholmod_metis ============================================== */ /* ========================================================================== */ /* ----------------------------------------------------------------------------- * CHOLMOD/Partition Module. * Copyright (C) 2005-2006, Univ. of Florida. Author: Timothy A. Davis * The CHOLMOD/Partition Module is licensed under Version 2.1 of the GNU * Lesser General Public License. See lesser.txt for a text of the license. * CHOLMOD is also available under other licenses; contact authors for details. * http://www.cise.ufl.edu/research/sparse * -------------------------------------------------------------------------- */ /* CHOLMOD interface to the METIS package (Version 4.0.1): * * cholmod_metis_bisector: * * Wrapper for METIS_NodeComputeSeparator. Finds a set of nodes that * partitions the graph into two parts. * * cholmod_metis: * * Wrapper for METIS_NodeND, METIS's own nested dissection algorithm. * Typically faster than cholmod_nested_dissection, mostly because it * uses minimum degree on just the leaves of the separator tree, rather * than the whole matrix. * * Note that METIS does not return an error if it runs out of memory. Instead, * it terminates the program. This interface attempts to avoid that problem * by preallocating space that should be large enough for any memory allocations * within METIS, and then freeing that space, just before the call to METIS. * While this is not guaranteed to work, it is very unlikely to fail. If you * encounter this problem, increase Common->metis_memory. If you don't mind * having your program terminated, set Common->metis_memory to zero (a value of * 2.0 is usually safe). Several other METIS workarounds are made in the * routines in this file. See the description of metis_memory_ok, just below, * for more details. * * FUTURE WORK: interfaces to other partitioners (CHACO, SCOTCH, JOSTLE, ... ) * * workspace: several size-nz and size-n temporary arrays. Uses no workspace * in Common. * * Supports any xtype (pattern, real, complex, or zomplex). */ #ifndef NPARTITION #include "cholmod_internal.h" #undef ASSERT #include "metis.h" /* METIS has its own ASSERT that it reveals to the user, so remove it here: */ #undef ASSERT /* and redefine it back again */ #ifndef NDEBUG #define ASSERT(expression) (assert (expression)) #else #define ASSERT(expression) #endif #include "cholmod_partition.h" #include "cholmod_cholesky.h" /* ========================================================================== */ /* === dumpgraph ============================================================ */ /* ========================================================================== */ /* For dumping the input graph to METIS_NodeND, to check with METIS's onmetis * and graphchk programs. For debugging only. To use, uncomment this #define: #define DUMP_GRAPH */ #ifdef DUMP_GRAPH #include /* After dumping the graph with this routine, run "onmetis metisgraph" */ static void dumpgraph (idxtype *Mp, idxtype *Mi, UF_long n, cholmod_common *Common) { UF_long i, j, p, nz ; FILE *f ; nz = Mp [n] ; printf ("Dumping METIS graph n %ld nz %ld\n", n, nz) ; /* DUMP_GRAPH */ f = fopen ("metisgraph", "w") ; if (f == NULL) { ERROR (-99, "cannot open metisgraph") ; return ; } fprintf (f, "%ld %ld\n", n, nz/2) ; /* DUMP_GRAPH */ for (j = 0 ; j < n ; j++) { for (p = Mp [j] ; p < Mp [j+1] ; p++) { i = Mi [p] ; fprintf (f, " %ld", i+1) ; /* DUMP_GRAPH */ } fprintf (f, "\n") ; /* DUMP_GRAPH */ } fclose (f) ; } #endif /* ========================================================================== */ /* === metis_memory_ok ====================================================== */ /* ========================================================================== */ /* METIS_NodeND and METIS_NodeComputeSeparator will terminate your program it * they run out of memory. In an attempt to workaround METIS' behavior, this * routine allocates a single block of memory of size equal to an observed * upper bound on METIS' memory usage. It then immediately deallocates the * block. If the allocation fails, METIS is not called. * * Median memory usage for a graph with n nodes and nz edges (counting each * edge twice, or both upper and lower triangular parts of a matrix) is * 4*nz + 40*n + 4096 integers. A "typical" upper bound is 10*nz + 50*n + 4096 * integers. Nearly all matrices tested fit within that upper bound, with the * exception two in the UF sparse matrix collection: Schenk_IBMNA/c-64 and * Gupta/gupta2. The latter exceeds the "upper bound" by a factor of just less * than 2. * * If you do not mind having your program terminated if it runs out of memory, * set Common->metis_memory to zero. Its default value is 2, which allows for * some memory fragmentation, and also accounts for the Gupta/gupta2 matrix. * * An alternative, if CHOLMOD is used in MATLAB, is to use a version of METIS * (4.0.2, perhaps) proposed to George Karypis. This version uses function * pointer for malloc and free. They can be set to mxMalloc and mxFree * (see sputil_config in MATLAB/sputil.c). On Linux, with gcc, you must also * compile CHOLMOD, METIS, AMD, COLAMD, and CCOLAMD with the -fexceptions * compiler flag. With this configuration, mxMalloc safely aborts the * mexFunction, frees all memory allocted by METIS, and safely returns to * MATLAB. You may then set Common->metis_memory = 0. */ #define GUESS(nz,n) (10 * (nz) + 50 * (n) + 4096) static int metis_memory_ok ( Int n, Int nz, cholmod_common *Common ) { double s ; void *p ; size_t metis_guard ; if (Common->metis_memory <= 0) { /* do not prevent METIS from running out of memory */ return (TRUE) ; } n = MAX (1, n) ; nz = MAX (0, nz) ; /* compute in double, to avoid integer overflow */ s = GUESS ((double) nz, (double) n) ; s *= Common->metis_memory ; if (s * sizeof (idxtype) >= ((double) Size_max)) { /* don't even attempt to malloc such a large block */ return (FALSE) ; } /* recompute in size_t */ metis_guard = GUESS ((size_t) nz, (size_t) n) ; metis_guard *= Common->metis_memory ; /* attempt to malloc the block */ p = CHOLMOD(malloc) (metis_guard, sizeof (idxtype), Common) ; if (p == NULL) { /* failure - return out-of-memory condition */ return (FALSE) ; } /* success - free the block */ CHOLMOD(free) (metis_guard, sizeof (idxtype), p, Common) ; return (TRUE) ; } /* ========================================================================== */ /* === cholmod_metis_bisector =============================================== */ /* ========================================================================== */ /* Finds a set of nodes that bisects the graph of A or AA' (direct interface * to METIS_NodeComputeSeparator). * * The input matrix A must be square, symmetric (with both upper and lower * parts present) and with no diagonal entries. These conditions are NOT * checked. */ UF_long CHOLMOD(metis_bisector) /* returns separator size */ ( /* ---- input ---- */ cholmod_sparse *A, /* matrix to bisect */ Int *Anw, /* size A->nrow, node weights */ Int *Aew, /* size nz, edge weights */ /* ---- output --- */ Int *Partition, /* size A->nrow */ /* --------------- */ cholmod_common *Common ) { Int *Ap, *Ai ; idxtype *Mp, *Mi, *Mnw, *Mew, *Mpart ; Int n, nleft, nright, j, p, csep, total_weight, lightest, nz ; int Opt [8], nn, csp ; size_t n1 ; DEBUG (Int nsep) ; /* ---------------------------------------------------------------------- */ /* check inputs */ /* ---------------------------------------------------------------------- */ RETURN_IF_NULL_COMMON (EMPTY) ; RETURN_IF_NULL (A, EMPTY) ; RETURN_IF_NULL (Anw, EMPTY) ; RETURN_IF_NULL (Aew, EMPTY) ; RETURN_IF_NULL (Partition, EMPTY) ; RETURN_IF_XTYPE_INVALID (A, CHOLMOD_PATTERN, CHOLMOD_ZOMPLEX, EMPTY) ; if (A->stype || A->nrow != A->ncol) { /* A must be square, with both upper and lower parts present */ ERROR (CHOLMOD_INVALID, "matrix must be square, symmetric," " and with both upper/lower parts present") ; return (EMPTY) ; } Common->status = CHOLMOD_OK ; /* ---------------------------------------------------------------------- */ /* quick return */ /* ---------------------------------------------------------------------- */ n = A->nrow ; if (n == 0) { return (0) ; } n1 = ((size_t) n) + 1 ; /* ---------------------------------------------------------------------- */ /* get inputs */ /* ---------------------------------------------------------------------- */ Ap = A->p ; Ai = A->i ; nz = Ap [n] ; /* ---------------------------------------------------------------------- */ /* METIS does not have a UF_long integer version */ /* ---------------------------------------------------------------------- */ #ifdef LONG if (sizeof (Int) > sizeof (idxtype) && MAX (n,nz) > INT_MAX / sizeof (int)) { /* CHOLMOD's matrix is too large for METIS */ return (EMPTY) ; } #endif /* ---------------------------------------------------------------------- */ /* set default options */ /* ---------------------------------------------------------------------- */ Opt [0] = 0 ; /* use defaults */ Opt [1] = 3 ; /* matching type */ Opt [2] = 1 ; /* init. partitioning algo*/ Opt [3] = 2 ; /* refinement algorithm */ Opt [4] = 0 ; /* no debug */ Opt [5] = 0 ; /* unused */ Opt [6] = 0 ; /* unused */ Opt [7] = -1 ; /* random seed */ DEBUG (for (j = 0 ; j < n ; j++) ASSERT (Anw [j] > 0)) ; /* ---------------------------------------------------------------------- */ /* copy Int to METIS idxtype, if necessary */ /* ---------------------------------------------------------------------- */ DEBUG (for (j = 0 ; j < nz ; j++) ASSERT (Aew [j] > 0)) ; if (sizeof (Int) == sizeof (idxtype)) { /* this is the typical case */ Mi = (idxtype *) Ai ; Mew = (idxtype *) Aew ; Mp = (idxtype *) Ap ; Mnw = (idxtype *) Anw ; Mpart = (idxtype *) Partition ; } else { /* idxtype and Int differ; copy the graph into the METIS idxtype */ Mi = CHOLMOD(malloc) (nz, sizeof (idxtype), Common) ; Mew = CHOLMOD(malloc) (nz, sizeof (idxtype), Common) ; Mp = CHOLMOD(malloc) (n1, sizeof (idxtype), Common) ; Mnw = CHOLMOD(malloc) (n, sizeof (idxtype), Common) ; Mpart = CHOLMOD(malloc) (n, sizeof (idxtype), Common) ; if (Common->status < CHOLMOD_OK) { CHOLMOD(free) (nz, sizeof (idxtype), Mi, Common) ; CHOLMOD(free) (nz, sizeof (idxtype), Mew, Common) ; CHOLMOD(free) (n1, sizeof (idxtype), Mp, Common) ; CHOLMOD(free) (n, sizeof (idxtype), Mnw, Common) ; CHOLMOD(free) (n, sizeof (idxtype), Mpart, Common) ; return (EMPTY) ; } for (p = 0 ; p < nz ; p++) { Mi [p] = Ai [p] ; } for (p = 0 ; p < nz ; p++) { Mew [p] = Aew [p] ; } for (j = 0 ; j <= n ; j++) { Mp [j] = Ap [j] ; } for (j = 0 ; j < n ; j++) { Mnw [j] = Anw [j] ; } } /* ---------------------------------------------------------------------- */ /* METIS workaround: try to ensure METIS doesn't run out of memory */ /* ---------------------------------------------------------------------- */ if (!metis_memory_ok (n, nz, Common)) { /* METIS might ask for too much memory and thus terminate the program */ if (sizeof (Int) != sizeof (idxtype)) { CHOLMOD(free) (nz, sizeof (idxtype), Mi, Common) ; CHOLMOD(free) (nz, sizeof (idxtype), Mew, Common) ; CHOLMOD(free) (n1, sizeof (idxtype), Mp, Common) ; CHOLMOD(free) (n, sizeof (idxtype), Mnw, Common) ; CHOLMOD(free) (n, sizeof (idxtype), Mpart, Common) ; } return (EMPTY) ; } /* ---------------------------------------------------------------------- */ /* partition the graph */ /* ---------------------------------------------------------------------- */ #ifndef NDEBUG PRINT1 (("Metis graph, n = "ID"\n", n)) ; for (j = 0 ; j < n ; j++) { Int ppp ; PRINT2 (("M(:,"ID") node weight "ID"\n", j, (Int) Mnw [j])) ; ASSERT (Mnw [j] > 0) ; for (ppp = Mp [j] ; ppp < Mp [j+1] ; ppp++) { PRINT3 ((" "ID" : "ID"\n", (Int) Mi [ppp], (Int) Mew [ppp])) ; ASSERT (Mi [ppp] != j) ; ASSERT (Mew [ppp] > 0) ; } } #endif nn = n ; METIS_NodeComputeSeparator (&nn, Mp, Mi, Mnw, Mew, Opt, &csp, Mpart) ; n = nn ; csep = csp ; PRINT1 (("METIS csep "ID"\n", csep)) ; /* ---------------------------------------------------------------------- */ /* copy the results back from idxtype, if required */ /* ---------------------------------------------------------------------- */ if (sizeof (Int) != sizeof (idxtype)) { for (j = 0 ; j < n ; j++) { Partition [j] = Mpart [j] ; } CHOLMOD(free) (nz, sizeof (idxtype), Mi, Common) ; CHOLMOD(free) (nz, sizeof (idxtype), Mew, Common) ; CHOLMOD(free) (n1, sizeof (idxtype), Mp, Common) ; CHOLMOD(free) (n, sizeof (idxtype), Mnw, Common) ; CHOLMOD(free) (n, sizeof (idxtype), Mpart, Common) ; } /* ---------------------------------------------------------------------- */ /* ensure a reasonable separator */ /* ---------------------------------------------------------------------- */ /* METIS can return a valid separator with no nodes in (for example) the * left part. In this case, there really is no separator. CHOLMOD * prefers, in this case, for all nodes to be in the separator (and both * left and right parts to be empty). Also, if the graph is unconnected, * METIS can return a valid empty separator. CHOLMOD prefers at least one * node in the separator. Note that cholmod_nested_dissection only calls * this routine on connected components, but cholmod_bisect can call this * routine for any graph. */ if (csep == 0) { /* The separator is empty, select lightest node as separator. If * ties, select the highest numbered node. */ lightest = 0 ; for (j = 0 ; j < n ; j++) { if (Anw [j] <= Anw [lightest]) { lightest = j ; } } PRINT1 (("Force "ID" as sep\n", lightest)) ; Partition [lightest] = 2 ; csep = Anw [lightest] ; } /* determine the node weights in the left and right part of the graph */ nleft = 0 ; nright = 0 ; DEBUG (nsep = 0) ; for (j = 0 ; j < n ; j++) { PRINT1 (("Partition ["ID"] = "ID"\n", j, Partition [j])) ; if (Partition [j] == 0) { nleft += Anw [j] ; } else if (Partition [j] == 1) { nright += Anw [j] ; } #ifndef NDEBUG else { ASSERT (Partition [j] == 2) ; nsep += Anw [j] ; } #endif } ASSERT (csep == nsep) ; total_weight = nleft + nright + csep ; if (csep < total_weight) { /* The separator is less than the whole graph. Make sure the left and * right parts are either both empty or both non-empty. */ PRINT1 (("nleft "ID" nright "ID" csep "ID" tot "ID"\n", nleft, nright, csep, total_weight)) ; ASSERT (nleft + nright + csep == total_weight) ; ASSERT (nleft > 0 || nright > 0) ; if ((nleft == 0 && nright > 0) || (nleft > 0 && nright == 0)) { /* left or right is empty; put all nodes in the separator */ PRINT1 (("Force all in sep\n")) ; csep = total_weight ; for (j = 0 ; j < n ; j++) { Partition [j] = 2 ; } } } ASSERT (CHOLMOD(dump_partition) (n, Ap, Ai, Anw, Partition, csep, Common)) ; /* ---------------------------------------------------------------------- */ /* return the sum of the weights of nodes in the separator */ /* ---------------------------------------------------------------------- */ return (csep) ; } /* ========================================================================== */ /* === cholmod_metis ======================================================== */ /* ========================================================================== */ /* CHOLMOD wrapper for the METIS_NodeND ordering routine. Creates A+A', * A*A' or A(:,f)*A(:,f)' and then calls METIS_NodeND on the resulting graph. * This routine is comparable to cholmod_nested_dissection, except that it * calls METIS_NodeND directly, and it does not return the separator tree. * * workspace: Flag (nrow), Iwork (4*n+uncol) * Allocates a temporary matrix B=A*A' or B=A. */ int CHOLMOD(metis) ( /* ---- 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 etree or coletree postorder */ /* ---- output --- */ Int *Perm, /* size A->nrow, output permutation */ /* --------------- */ cholmod_common *Common ) { double d ; Int *Iperm, *Iwork, *Bp, *Bi ; idxtype *Mp, *Mi, *Mperm, *Miperm ; cholmod_sparse *B ; Int i, j, n, nz, p, identity, uncol ; int Opt [8], nn, zero = 0 ; size_t n1, s ; int ok = TRUE ; /* ---------------------------------------------------------------------- */ /* get 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) ; Common->status = CHOLMOD_OK ; /* ---------------------------------------------------------------------- */ /* quick return */ /* ---------------------------------------------------------------------- */ n = A->nrow ; if (n == 0) { return (TRUE) ; } n1 = ((size_t) n) + 1 ; /* ---------------------------------------------------------------------- */ /* allocate workspace */ /* ---------------------------------------------------------------------- */ /* s = 4*n + uncol */ uncol = (A->stype == 0) ? A->ncol : 0 ; s = CHOLMOD(mult_size_t) (n, 4, &ok) ; s = CHOLMOD(add_size_t) (s, uncol, &ok) ; if (!ok) { ERROR (CHOLMOD_TOO_LARGE, "problem too large") ; return (FALSE) ; } CHOLMOD(allocate_work) (n, s, 0, Common) ; if (Common->status < CHOLMOD_OK) { return (FALSE) ; } ASSERT (CHOLMOD(dump_work) (TRUE, TRUE, 0, Common)) ; /* ---------------------------------------------------------------------- */ /* convert the matrix to adjacency list form */ /* ---------------------------------------------------------------------- */ /* The input graph for METIS must be symmetric, with both upper and lower * parts present, and with no diagonal entries. The columns need not be * sorted. * B = A+A', A*A', or A(:,f)*A(:,f)', upper and lower parts present */ if (A->stype) { /* Add the upper/lower part to a symmetric lower/upper matrix by * converting to unsymmetric mode */ /* workspace: Iwork (nrow) */ B = CHOLMOD(copy) (A, 0, -1, Common) ; } else { /* B = A*A' or A(:,f)*A(:,f)', no diagonal */ /* workspace: Flag (nrow), Iwork (max (nrow,ncol)) */ B = CHOLMOD(aat) (A, fset, fsize, -1, Common) ; } ASSERT (CHOLMOD(dump_sparse) (B, "B for NodeND", Common) >= 0) ; if (Common->status < CHOLMOD_OK) { return (FALSE) ; } ASSERT (B->nrow == A->nrow) ; /* ---------------------------------------------------------------------- */ /* get inputs */ /* ---------------------------------------------------------------------- */ Iwork = Common->Iwork ; Iperm = Iwork ; /* size n (i/i/l) */ Bp = B->p ; Bi = B->i ; nz = Bp [n] ; /* ---------------------------------------------------------------------- */ /* METIS does not have a UF_long integer version */ /* ---------------------------------------------------------------------- */ #ifdef LONG if (sizeof (Int) > sizeof (idxtype) && MAX (n,nz) > INT_MAX / sizeof (int)) { /* CHOLMOD's matrix is too large for METIS */ CHOLMOD(free_sparse) (&B, Common) ; return (FALSE) ; } #endif /* B does not include the diagonal, and both upper and lower parts. * Common->anz includes the diagonal, and just the lower part of B */ Common->anz = nz / 2 + n ; /* ---------------------------------------------------------------------- */ /* set control parameters for METIS_NodeND */ /* ---------------------------------------------------------------------- */ Opt [0] = 0 ; /* use defaults */ Opt [1] = 3 ; /* matching type */ Opt [2] = 1 ; /* init. partitioning algo*/ Opt [3] = 2 ; /* refinement algorithm */ Opt [4] = 0 ; /* no debug */ Opt [5] = 1 ; /* initial compression */ Opt [6] = 0 ; /* no dense node removal */ Opt [7] = 1 ; /* number of separators @ each step */ /* ---------------------------------------------------------------------- */ /* allocate the METIS input arrays, if needed */ /* ---------------------------------------------------------------------- */ if (sizeof (Int) == sizeof (idxtype)) { /* This is the typical case. */ Miperm = (idxtype *) Iperm ; Mperm = (idxtype *) Perm ; Mp = (idxtype *) Bp ; Mi = (idxtype *) Bi ; } else { /* allocate graph for METIS only if Int and idxtype differ */ Miperm = CHOLMOD(malloc) (n, sizeof (idxtype), Common) ; Mperm = CHOLMOD(malloc) (n, sizeof (idxtype), Common) ; Mp = CHOLMOD(malloc) (n1, sizeof (idxtype), Common) ; Mi = CHOLMOD(malloc) (nz, sizeof (idxtype), Common) ; if (Common->status < CHOLMOD_OK) { /* out of memory */ CHOLMOD(free_sparse) (&B, Common) ; CHOLMOD(free) (n, sizeof (idxtype), Miperm, Common) ; CHOLMOD(free) (n, sizeof (idxtype), Mperm, Common) ; CHOLMOD(free) (n1, sizeof (idxtype), Mp, Common) ; CHOLMOD(free) (nz, sizeof (idxtype), Mi, Common) ; return (FALSE) ; } for (j = 0 ; j <= n ; j++) { Mp [j] = Bp [j] ; } for (p = 0 ; p < nz ; p++) { Mi [p] = Bi [p] ; } } /* ---------------------------------------------------------------------- */ /* METIS workarounds */ /* ---------------------------------------------------------------------- */ identity = FALSE ; if (nz == 0) { /* The matrix has no off-diagonal entries. METIS_NodeND fails in this * case, so avoid using it. The best permutation is identity anyway, * so this is an easy fix. */ identity = TRUE ; PRINT1 (("METIS:: no nz\n")) ; } else if (Common->metis_nswitch > 0) { /* METIS_NodeND in METIS 4.0.1 gives a seg fault with one matrix of * order n = 3005 and nz = 6,036,025, including the diagonal entries. * The workaround is to return the identity permutation instead of using * METIS for matrices of dimension 3000 or more and with density of 66% * or more - admittedly an uncertain fix, but such matrices are so dense * that any reasonable ordering will do, even identity (n^2 is only 50% * higher than nz in this case). CHOLMOD's nested dissection method * (cholmod_nested_dissection) has no problems with the same matrix, * even though it too uses METIS_NodeComputeSeparator. The matrix is * derived from LPnetlib/lpi_cplex1 in the UF sparse matrix collection. * If C is the lpi_cplex matrix (of order 3005-by-5224), A = (C*C')^2 * results in the seg fault. The seg fault also occurs in the stand- * alone onmetis program that comes with METIS. If a future version of * METIS fixes this problem, then set Common->metis_nswitch to zero. */ d = ((double) nz) / (((double) n) * ((double) n)) ; if (n > (Int) (Common->metis_nswitch) && d > Common->metis_dswitch) { identity = TRUE ; PRINT1 (("METIS:: nswitch/dswitch activated\n")) ; } } if (!identity && !metis_memory_ok (n, nz, Common)) { /* METIS might ask for too much memory and thus terminate the program */ identity = TRUE ; } /* ---------------------------------------------------------------------- */ /* find the permutation */ /* ---------------------------------------------------------------------- */ if (identity) { /* no need to do the postorder */ postorder = FALSE ; for (i = 0 ; i < n ; i++) { Mperm [i] = i ; } } else { #ifdef DUMP_GRAPH /* DUMP_GRAPH */ printf ("Calling METIS_NodeND n "ID" nz "ID"" "density %g\n", n, nz, ((double) nz) / (((double) n) * ((double) n))); dumpgraph (Mp, Mi, n, Common) ; #endif nn = n ; METIS_NodeND (&nn, Mp, Mi, &zero, Opt, Mperm, Miperm) ; n = nn ; PRINT0 (("METIS_NodeND done\n")) ; } /* ---------------------------------------------------------------------- */ /* free the METIS input arrays */ /* ---------------------------------------------------------------------- */ if (sizeof (Int) != sizeof (idxtype)) { for (i = 0 ; i < n ; i++) { Perm [i] = (Int) (Mperm [i]) ; } CHOLMOD(free) (n, sizeof (idxtype), Miperm, Common) ; CHOLMOD(free) (n, sizeof (idxtype), Mperm, Common) ; CHOLMOD(free) (n+1, sizeof (idxtype), Mp, Common) ; CHOLMOD(free) (nz, sizeof (idxtype), Mi, Common) ; } CHOLMOD(free_sparse) (&B, Common) ; /* ---------------------------------------------------------------------- */ /* etree or column-etree postordering, using the Cholesky Module */ /* ---------------------------------------------------------------------- */ if (postorder) { Int *Parent, *Post, *NewPerm ; Int k ; Parent = Iwork + 2*((size_t) n) + uncol ; /* size n = nrow */ Post = Parent + n ; /* size n */ /* workspace: Iwork (2*nrow+uncol), Flag (nrow), Head (nrow+1) */ CHOLMOD(analyze_ordering) (A, CHOLMOD_METIS, Perm, fset, fsize, Parent, Post, NULL, NULL, NULL, Common) ; if (Common->status == CHOLMOD_OK) { /* combine the METIS permutation with its postordering */ NewPerm = Parent ; /* use Parent as workspace */ for (k = 0 ; k < n ; k++) { NewPerm [k] = Perm [Post [k]] ; } for (k = 0 ; k < n ; k++) { Perm [k] = NewPerm [k] ; } } } ASSERT (CHOLMOD(dump_work) (TRUE, TRUE, 0, Common)) ; PRINT1 (("cholmod_metis done\n")) ; return (Common->status == CHOLMOD_OK) ; } #endif