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[matrix] Diff of /pkg/src/Csparse.c
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Diff of /pkg/src/Csparse.c

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revision 1960, Fri Jul 6 16:54:43 2007 UTC revision 2137, Mon Mar 17 22:21:24 2008 UTC
# Line 1  Line 1 
1                          /* Sparse matrices in compressed column-oriented form */                          /* Sparse matrices in compressed column-oriented form */
2  #include "Csparse.h"  #include "Csparse.h"
3    #include "Tsparse.h"
4  #include "chm_common.h"  #include "chm_common.h"
5    
6  SEXP Csparse_validate(SEXP x)  SEXP Csparse_validate(SEXP x)
# Line 57  Line 58 
58      return ScalarLogical(1);      return ScalarLogical(1);
59  }  }
60    
61    SEXP Rsparse_validate(SEXP x)
62    {
63        /* NB: we do *NOT* check a potential 'x' slot here, at all */
64        SEXP pslot = GET_SLOT(x, Matrix_pSym),
65            jslot = GET_SLOT(x, Matrix_jSym);
66        Rboolean sorted, strictly;
67        int i, k,
68            *dims = INTEGER(GET_SLOT(x, Matrix_DimSym)),
69            nrow = dims[0],
70            ncol = dims[1],
71            *xp = INTEGER(pslot),
72            *xj = INTEGER(jslot);
73    
74        if (length(pslot) != dims[0] + 1)
75            return mkString(_("slot p must have length = nrow(.) + 1"));
76        if (xp[0] != 0)
77            return mkString(_("first element of slot p must be zero"));
78        if (length(jslot) < xp[nrow]) /* allow larger slots from over-allocation!*/
79            return
80                mkString(_("last element of slot p must match length of slots j and x"));
81        for (i = 0; i < length(jslot); i++) {
82            if (xj[i] < 0 || xj[i] >= ncol)
83                return mkString(_("all column indices must be between 0 and ncol-1"));
84        }
85        sorted = TRUE; strictly = TRUE;
86        for (i = 0; i < nrow; i++) {
87            if (xp[i] > xp[i+1])
88                return mkString(_("slot p must be non-decreasing"));
89            if(sorted)
90                for (k = xp[i] + 1; k < xp[i + 1]; k++) {
91                    if (xj[k] < xj[k - 1])
92                        sorted = FALSE;
93                    else if (xj[k] == xj[k - 1])
94                        strictly = FALSE;
95                }
96        }
97        if (!sorted)
98            /* cannot easily use cholmod_sort(.) ... -> "error out" :*/
99            return mkString(_("slot j is not increasing inside a column"));
100        else if(!strictly) /* sorted, but not strictly */
101            return mkString(_("slot j is not *strictly* increasing inside a column"));
102    
103        return ScalarLogical(1);
104    }
105    
106    
107  /* Called from ../R/Csparse.R : */  /* Called from ../R/Csparse.R : */
108  /* Can only return [dln]geMatrix (no symm/triang);  /* Can only return [dln]geMatrix (no symm/triang);
109   * FIXME: replace by non-CHOLMOD code ! */   * FIXME: replace by non-CHOLMOD code ! */
# Line 124  Line 171 
171  SEXP Csparse_general_to_symmetric(SEXP x, SEXP uplo)  SEXP Csparse_general_to_symmetric(SEXP x, SEXP uplo)
172  {  {
173      CHM_SP chx = AS_CHM_SP(x), chgx;      CHM_SP chx = AS_CHM_SP(x), chgx;
174      int uploT = (*CHAR(asChar(uplo)) == 'U') ? 1 : -1;      int uploT = (*CHAR(STRING_ELT(uplo,0)) == 'U') ? 1 : -1;
175      int Rkind = (chx->xtype != CHOLMOD_PATTERN) ? Real_kind(x) : 0;      int Rkind = (chx->xtype != CHOLMOD_PATTERN) ? Real_kind(x) : 0;
176      R_CheckStack();      R_CheckStack();
177    
# Line 156  Line 203 
203    
204  SEXP Csparse_Csparse_prod(SEXP a, SEXP b)  SEXP Csparse_Csparse_prod(SEXP a, SEXP b)
205  {  {
206      CHM_SP cha = AS_CHM_SP(a), chb = AS_CHM_SP(b);      CHM_SP
207      CHM_SP chc = cholmod_ssmult(cha, chb, 0, cha->xtype, 1, &c);          cha = AS_CHM_SP(Csparse_diagU2N(a)),
208            chb = AS_CHM_SP(Csparse_diagU2N(b)),
209            chc = cholmod_ssmult(cha, chb, /*out_stype:*/ 0,
210                                 cha->xtype, /*out sorted:*/ 1, &c);
211        const char *cl_a = class_P(a), *cl_b = class_P(b);
212        char diag[] = {'\0', '\0'};
213        int uploT = 0;
214      SEXP dn = allocVector(VECSXP, 2);      SEXP dn = allocVector(VECSXP, 2);
215      R_CheckStack();      R_CheckStack();
216    
217        /* Preserve triangularity and even unit-triangularity if appropriate.
218         * Note that in that case, the multiplication itself should happen
219         * faster.  But there's no support for that in CHOLMOD */
220    
221        /* UGLY hack -- rather should have (fast!) C-level version of
222         *       is(a, "triangularMatrix") etc */
223        if (cl_a[1] == 't' && cl_b[1] == 't')
224            /* FIXME: fails for "Cholesky","BunchKaufmann"..*/
225            if(*uplo_P(a) == *uplo_P(b)) { /* both upper, or both lower tri. */
226                uploT = (*uplo_P(a) == 'U') ? 1 : -1;
227                if(*diag_P(a) == 'U' && *diag_P(b) == 'U') { /* return UNIT-triag. */
228                    /* "remove the diagonal entries": */
229                    chm_diagN2U(chc, uploT, /* do_realloc */ FALSE);
230                    diag[0]= 'U';
231                }
232                else diag[0]= 'N';
233            }
234      SET_VECTOR_ELT(dn, 0,       /* establish dimnames */      SET_VECTOR_ELT(dn, 0,       /* establish dimnames */
235                     duplicate(VECTOR_ELT(GET_SLOT(a, Matrix_DimNamesSym), 0)));                     duplicate(VECTOR_ELT(GET_SLOT(a, Matrix_DimNamesSym), 0)));
236      SET_VECTOR_ELT(dn, 1,      SET_VECTOR_ELT(dn, 1,
237                     duplicate(VECTOR_ELT(GET_SLOT(b, Matrix_DimNamesSym), 1)));                     duplicate(VECTOR_ELT(GET_SLOT(b, Matrix_DimNamesSym), 1)));
238      return chm_sparse_to_SEXP(chc, 1, 0, 0, "", dn);      return chm_sparse_to_SEXP(chc, 1, uploT, /*Rkind*/0, diag, dn);
239  }  }
240    
241  SEXP Csparse_Csparse_crossprod(SEXP a, SEXP b, SEXP trans)  SEXP Csparse_Csparse_crossprod(SEXP a, SEXP b, SEXP trans)
242  {  {
243      int tr = asLogical(trans);      int tr = asLogical(trans);
244      CHM_SP cha = AS_CHM_SP(a), chb = AS_CHM_SP(b), chTr, chc;      CHM_SP
245            cha = AS_CHM_SP(Csparse_diagU2N(a)),
246            chb = AS_CHM_SP(Csparse_diagU2N(b)),
247            chTr, chc;
248        const char *cl_a = class_P(a), *cl_b = class_P(b);
249        char diag[] = {'\0', '\0'};
250        int uploT = 0;
251      SEXP dn = allocVector(VECSXP, 2);      SEXP dn = allocVector(VECSXP, 2);
252      R_CheckStack();      R_CheckStack();
253    
254      chTr = cholmod_transpose((tr) ? chb : cha, chb->xtype, &c);      chTr = cholmod_transpose((tr) ? chb : cha, chb->xtype, &c);
255      chc = cholmod_ssmult((tr) ? cha : chTr, (tr) ? chTr : chb,      chc = cholmod_ssmult((tr) ? cha : chTr, (tr) ? chTr : chb,
256                           0, cha->xtype, 1, &c);                           /*out_stype:*/ 0, cha->xtype, /*out sorted:*/ 1, &c);
257      cholmod_free_sparse(&chTr, &c);      cholmod_free_sparse(&chTr, &c);
258    
259        /* Preserve triangularity and unit-triangularity if appropriate;
260         * see Csparse_Csparse_prod() for comments */
261        if (cl_a[1] == 't' && cl_b[1] == 't')
262            if(*uplo_P(a) != *uplo_P(b)) { /* one 'U', the other 'L' */
263                uploT = (*uplo_P(b) == 'U') ? 1 : -1;
264                if(*diag_P(a) == 'U' && *diag_P(b) == 'U') { /* return UNIT-triag. */
265                    chm_diagN2U(chc, uploT, /* do_realloc */ FALSE);
266                    diag[0]= 'U';
267                }
268                else diag[0]= 'N';
269            }
270    
271      SET_VECTOR_ELT(dn, 0,       /* establish dimnames */      SET_VECTOR_ELT(dn, 0,       /* establish dimnames */
272                     duplicate(VECTOR_ELT(GET_SLOT(a, Matrix_DimNamesSym), (tr) ? 0 : 1)));                     duplicate(VECTOR_ELT(GET_SLOT(a, Matrix_DimNamesSym), (tr) ? 0 : 1)));
273      SET_VECTOR_ELT(dn, 1,      SET_VECTOR_ELT(dn, 1,
274                     duplicate(VECTOR_ELT(GET_SLOT(b, Matrix_DimNamesSym), (tr) ? 0 : 1)));                     duplicate(VECTOR_ELT(GET_SLOT(b, Matrix_DimNamesSym), (tr) ? 0 : 1)));
275      return chm_sparse_to_SEXP(chc, 1, 0, 0, "", dn);      return chm_sparse_to_SEXP(chc, 1, uploT, /*Rkind*/0, diag, dn);
276  }  }
277    
278  SEXP Csparse_dense_prod(SEXP a, SEXP b)  SEXP Csparse_dense_prod(SEXP a, SEXP b)
279  {  {
280      CHM_SP cha = AS_CHM_SP(a);      CHM_SP cha = AS_CHM_SP(Csparse_diagU2N(a));
281      SEXP b_M = PROTECT(mMatrix_as_dgeMatrix(b));      SEXP b_M = PROTECT(mMatrix_as_dgeMatrix(b));
282      CHM_DN chb = AS_CHM_DN(b_M);      CHM_DN chb = AS_CHM_DN(b_M);
283      CHM_DN chc = cholmod_allocate_dense(cha->nrow, chb->ncol, cha->nrow,      CHM_DN chc = cholmod_allocate_dense(cha->nrow, chb->ncol, cha->nrow,
# Line 209  Line 297 
297    
298  SEXP Csparse_dense_crossprod(SEXP a, SEXP b)  SEXP Csparse_dense_crossprod(SEXP a, SEXP b)
299  {  {
300      CHM_SP cha = AS_CHM_SP(a);      CHM_SP cha = AS_CHM_SP(Csparse_diagU2N(a));
301      SEXP b_M = PROTECT(mMatrix_as_dgeMatrix(b));      SEXP b_M = PROTECT(mMatrix_as_dgeMatrix(b));
302      CHM_DN chb = AS_CHM_DN(b_M);      CHM_DN chb = AS_CHM_DN(b_M);
303      CHM_DN chc = cholmod_allocate_dense(cha->ncol, chb->ncol, cha->ncol,      CHM_DN chc = cholmod_allocate_dense(cha->ncol, chb->ncol, cha->ncol,
# Line 227  Line 315 
315      return chm_dense_to_SEXP(chc, 1, 0, dn);      return chm_dense_to_SEXP(chc, 1, 0, dn);
316  }  }
317    
318  /* Computes   x'x  or  x x'  -- see Csparse_Csparse_crossprod above for  x'y and x y' */  /* Computes   x'x  or  x x' -- *also* for Tsparse (triplet = TRUE)
319       see Csparse_Csparse_crossprod above for  x'y and x y' */
320  SEXP Csparse_crossprod(SEXP x, SEXP trans, SEXP triplet)  SEXP Csparse_crossprod(SEXP x, SEXP trans, SEXP triplet)
321  {  {
322      int trip = asLogical(triplet),      int trip = asLogical(triplet),
323          tr   = asLogical(trans); /* gets reversed because _aat is tcrossprod */          tr   = asLogical(trans); /* gets reversed because _aat is tcrossprod */
324      CHM_TR cht = trip ? AS_CHM_TR(x) : (CHM_TR) NULL;      CHM_TR cht = trip ? AS_CHM_TR(Tsparse_diagU2N(x)) : (CHM_TR) NULL;
325      CHM_SP chcp, chxt,      CHM_SP chcp, chxt,
326          chx = trip ? cholmod_triplet_to_sparse(cht, cht->nnz, &c) : AS_CHM_SP(x);          chx = (trip ?
327                   cholmod_triplet_to_sparse(cht, cht->nnz, &c) :
328                   AS_CHM_SP(Csparse_diagU2N(x)));
329      SEXP dn = PROTECT(allocVector(VECSXP, 2));      SEXP dn = PROTECT(allocVector(VECSXP, 2));
330      R_CheckStack();      R_CheckStack();
331    
332      if (!tr) chxt = cholmod_transpose(chx, chx->xtype, &c);      if (!tr) chxt = cholmod_transpose(chx, chx->xtype, &c);
333      chcp = cholmod_aat((!tr) ? chxt : chx, (int *) NULL, 0, chx->xtype, &c);      chcp = cholmod_aat((!tr) ? chxt : chx, (int *) NULL, 0, chx->xtype, &c);
334      if(!chcp) error(_("Csparse_crossprod(): error return from cholmod_aat()"));      if(!chcp) {
335            UNPROTECT(1);
336            error(_("Csparse_crossprod(): error return from cholmod_aat()"));
337        }
338      cholmod_band_inplace(0, chcp->ncol, chcp->xtype, chcp, &c);      cholmod_band_inplace(0, chcp->ncol, chcp->xtype, chcp, &c);
339      chcp->stype = 1;      chcp->stype = 1;
340      if (trip) cholmod_free_sparse(&chx, &c);      if (trip) cholmod_free_sparse(&chx, &c);
# Line 302  Line 396 
396    
397  SEXP Csparse_diagU2N(SEXP x)  SEXP Csparse_diagU2N(SEXP x)
398  {  {
399      if (*diag_P(x) != 'U') {/* "trivially fast" when there's no 'diag' slot at all */      const char *cl = class_P(x);
400        /* dtCMatrix, etc; [1] = the second character =?= 't' for triangular */
401        if (cl[1] != 't' || *diag_P(x) != 'U') {
402            /* "trivially fast" when not triangular (<==> no 'diag' slot),
403               or not *unit* triangular */
404          return (x);          return (x);
405      }      }
406      else {      else { /* unit triangular (diag='U'): "fill the diagonal" & diag:= "N" */
407          CHM_SP chx = AS_CHM_SP(x);          CHM_SP chx = AS_CHM_SP(x);
408          CHM_SP eye = cholmod_speye(chx->nrow, chx->ncol, chx->xtype, &c);          CHM_SP eye = cholmod_speye(chx->nrow, chx->ncol, chx->xtype, &c);
409          double one[] = {1, 0};          double one[] = {1, 0};
# Line 320  Line 418 
418      }      }
419  }  }
420    
421    SEXP Csparse_diagN2U(SEXP x)
422    {
423        const char *cl = class_P(x);
424        /* dtCMatrix, etc; [1] = the second character =?= 't' for triangular */
425        if (cl[1] != 't' || *diag_P(x) != 'N') {
426            /* "trivially fast" when not triangular (<==> no 'diag' slot),
427               or already *unit* triangular */
428            return (x);
429        }
430        else { /* triangular with diag='N'): now drop the diagonal */
431            /* duplicate, since chx will be modified: */
432            CHM_SP chx = AS_CHM_SP(duplicate(x));
433            int uploT = (*uplo_P(x) == 'U') ? 1 : -1,
434                Rkind = (chx->xtype != CHOLMOD_PATTERN) ? Real_kind(x) : 0;
435            R_CheckStack();
436    
437            chm_diagN2U(chx, uploT, /* do_realloc */ FALSE);
438    
439            return chm_sparse_to_SEXP(chx, /*dofree*/ 0/* or 1 ?? */,
440                                      uploT, Rkind, "U",
441                                      GET_SLOT(x, Matrix_DimNamesSym));
442        }
443    }
444    
445  SEXP Csparse_submatrix(SEXP x, SEXP i, SEXP j)  SEXP Csparse_submatrix(SEXP x, SEXP i, SEXP j)
446  {  {
447      CHM_SP chx = AS_CHM_SP(x);      CHM_SP chx = AS_CHM_SP(x);
# Line 339  Line 461 
461                                1, 0, Rkind, "",                                1, 0, Rkind, "",
462                                /* FIXME: drops dimnames */ R_NilValue);                                /* FIXME: drops dimnames */ R_NilValue);
463  }  }
464    
465    SEXP Csparse_MatrixMarket(SEXP x, SEXP fname)
466    {
467        FILE *f = fopen(CHAR(asChar(fname)), "w");
468    
469        if (!f)
470            error(_("failure to open file \"%s\" for writing"),
471                  CHAR(asChar(fname)));
472        if (!cholmod_write_sparse(f, AS_CHM_SP(Csparse_diagU2N(x)),
473                                  (CHM_SP)NULL, (char*) NULL, &c))
474            error(_("cholmod_write_sparse returned error code"));
475        fclose(f);
476        return R_NilValue;
477    }
478    
479    
480    /**
481     * Extract the diagonal entries from *triangular* Csparse matrix  __or__ a
482     * cholmod_sparse factor (LDL = TRUE).
483     *
484     * @param n  dimension of the matrix.
485     * @param x_p  'p' (column pointer) slot contents
486     * @param x_x  'x' (non-zero entries) slot contents
487     * @param perm 'perm' (= permutation vector) slot contents
488     * @param resultKind a (SEXP) string indicating which kind of result is desired.
489     *
490     * @return  a SEXP, either a (double) number or a length n-vector of diagonal entries
491     */
492    SEXP diag_tC_ptr(int n, int *x_p, double *x_x, int *perm, SEXP resultKind)
493    /*                                ^^^^^^ FIXME[Generalize] to int / ... */
494    {
495        const char* res_ch = CHAR(STRING_ELT(resultKind,0));
496        enum diag_kind { diag, diag_backpermuted, trace, prod, sum_log
497        } res_kind = ((!strcmp(res_ch, "trace")) ? trace :
498                      ((!strcmp(res_ch, "sumLog")) ? sum_log :
499                       ((!strcmp(res_ch, "prod")) ? prod :
500                        ((!strcmp(res_ch, "diag")) ? diag :
501                         ((!strcmp(res_ch, "diagBack")) ? diag_backpermuted :
502                          -1)))));
503        int i, n_x, i_from = 0;
504        SEXP ans = PROTECT(allocVector(REALSXP,
505    /*                                 ^^^^  FIXME[Generalize] */
506                                       (res_kind == diag ||
507                                        res_kind == diag_backpermuted) ? n : 1));
508        double *v = REAL(ans);
509    /*  ^^^^^^      ^^^^  FIXME[Generalize] */
510    
511    #define for_DIAG(v_ASSIGN)                                              \
512        for(i = 0; i < n; i++, i_from += n_x) {                             \
513            /* looking at i-th column */                                    \
514            n_x = x_p[i+1] - x_p[i];/* #{entries} in this column */ \
515            v_ASSIGN;                                                       \
516        }
517    
518        /* NOTA BENE: we assume  -- uplo = "L" i.e. lower triangular matrix
519         *            for uplo = "U" (makes sense with a "dtCMatrix" !),
520         *            should use  x_x[i_from + (nx - 1)] instead of x_x[i_from],
521         *            where nx = (x_p[i+1] - x_p[i])
522         */
523    
524        switch(res_kind) {
525        case trace:
526            v[0] = 0.;
527            for_DIAG(v[0] += x_x[i_from]);
528            break;
529    
530        case sum_log:
531            v[0] = 0.;
532            for_DIAG(v[0] += log(x_x[i_from]));
533            break;
534    
535        case prod:
536            v[0] = 1.;
537            for_DIAG(v[0] *= x_x[i_from]);
538            break;
539    
540        case diag:
541            for_DIAG(v[i] = x_x[i_from]);
542            break;
543    
544        case diag_backpermuted:
545            for_DIAG(v[i] = x_x[i_from]);
546            /* now back_permute : */
547    
548            error(_("resultKind = 'diagBack' (back-permuted) is not yet implemented"));
549            break;
550    
551        default: /* -1 from above */
552            error("diag_tC(): invalid 'resultKind'");
553            /* Wall: */ ans = R_NilValue; v = REAL(ans);
554        }
555    
556        UNPROTECT(1);
557        return ans;
558    }
559    
560    /**
561     * Extract the diagonal entries from *triangular* Csparse matrix  __or__ a
562     * cholmod_sparse factor (LDL = TRUE).
563     *
564     * @param pslot  'p' (column pointer)   slot of Csparse matrix/factor
565     * @param xslot  'x' (non-zero entries) slot of Csparse matrix/factor
566     * @param perm_slot  'perm' (= permutation vector) slot of corresponding CHMfactor
567     * @param resultKind a (SEXP) string indicating which kind of result is desired.
568     *
569     * @return  a SEXP, either a (double) number or a length n-vector of diagonal entries
570     */
571    SEXP diag_tC(SEXP pslot, SEXP xslot, SEXP perm_slot, SEXP resultKind)
572    {
573        int n = length(pslot) - 1, /* n = ncol(.) = nrow(.) */
574            *x_p  = INTEGER(pslot),
575            *perm = INTEGER(perm_slot);
576        double *x_x = REAL(xslot);
577    /*  ^^^^^^        ^^^^ FIXME[Generalize] to INTEGER(.) / LOGICAL(.) / ... xslot !*/
578    
579        return diag_tC_ptr(n, x_p, x_x, perm, resultKind);
580    }

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