/* * Copyright 2006-2007 Universiteit Leiden * Copyright 2008-2009 Katholieke Universiteit Leuven * * Use of this software is governed by the MIT license * * Written by Sven Verdoolaege, Leiden Institute of Advanced Computer Science, * Universiteit Leiden, Niels Bohrweg 1, 2333 CA Leiden, The Netherlands * and K.U.Leuven, Departement Computerwetenschappen, Celestijnenlaan 200A, * B-3001 Leuven, Belgium */ #include #include #include #include #include #include "isl_basis_reduction.h" static void save_alpha(GBR_LP *lp, int first, int n, GBR_type *alpha) { int i; for (i = 0; i < n; ++i) GBR_lp_get_alpha(lp, first + i, &alpha[i]); } /* Compute a reduced basis for the set represented by the tableau "tab". * tab->basis, which must be initialized by the calling function to an affine * unimodular basis, is updated to reflect the reduced basis. * The first tab->n_zero rows of the basis (ignoring the constant row) * are assumed to correspond to equalities and are left untouched. * tab->n_zero is updated to reflect any additional equalities that * have been detected in the first rows of the new basis. * The final tab->n_unbounded rows of the basis are assumed to correspond * to unbounded directions and are also left untouched. * In particular this means that the remaining rows are assumed to * correspond to bounded directions. * * This function implements the algorithm described in * "An Implementation of the Generalized Basis Reduction Algorithm * for Integer Programming" of Cook el al. to compute a reduced basis. * We use \epsilon = 1/4. * * If ctx->opt->gbr_only_first is set, the user is only interested * in the first direction. In this case we stop the basis reduction when * the width in the first direction becomes smaller than 2. */ struct isl_tab *isl_tab_compute_reduced_basis(struct isl_tab *tab) { unsigned dim; struct isl_ctx *ctx; struct isl_mat *B; int unbounded; int i; GBR_LP *lp = NULL; GBR_type F_old, alpha, F_new; int row; isl_int tmp; struct isl_vec *b_tmp; GBR_type *F = NULL; GBR_type *alpha_buffer[2] = { NULL, NULL }; GBR_type *alpha_saved; GBR_type F_saved; int use_saved = 0; isl_int mu[2]; GBR_type mu_F[2]; GBR_type two; GBR_type one; int empty = 0; int fixed = 0; int fixed_saved = 0; int mu_fixed[2]; int n_bounded; int gbr_only_first; if (!tab) return NULL; if (tab->empty) return tab; ctx = tab->mat->ctx; gbr_only_first = ctx->opt->gbr_only_first; dim = tab->n_var; B = tab->basis; if (!B) return tab; n_bounded = dim - tab->n_unbounded; if (n_bounded <= tab->n_zero + 1) return tab; isl_int_init(tmp); isl_int_init(mu[0]); isl_int_init(mu[1]); GBR_init(alpha); GBR_init(F_old); GBR_init(F_new); GBR_init(F_saved); GBR_init(mu_F[0]); GBR_init(mu_F[1]); GBR_init(two); GBR_init(one); b_tmp = isl_vec_alloc(ctx, dim); if (!b_tmp) goto error; F = isl_alloc_array(ctx, GBR_type, n_bounded); alpha_buffer[0] = isl_alloc_array(ctx, GBR_type, n_bounded); alpha_buffer[1] = isl_alloc_array(ctx, GBR_type, n_bounded); alpha_saved = alpha_buffer[0]; if (!F || !alpha_buffer[0] || !alpha_buffer[1]) goto error; for (i = 0; i < n_bounded; ++i) { GBR_init(F[i]); GBR_init(alpha_buffer[0][i]); GBR_init(alpha_buffer[1][i]); } GBR_set_ui(two, 2); GBR_set_ui(one, 1); lp = GBR_lp_init(tab); if (!lp) goto error; i = tab->n_zero; GBR_lp_set_obj(lp, B->row[1+i]+1, dim); ctx->stats->gbr_solved_lps++; unbounded = GBR_lp_solve(lp); isl_assert(ctx, !unbounded, goto error); GBR_lp_get_obj_val(lp, &F[i]); if (GBR_lt(F[i], one)) { if (!GBR_is_zero(F[i])) { empty = GBR_lp_cut(lp, B->row[1+i]+1); if (empty) goto done; GBR_set_ui(F[i], 0); } tab->n_zero++; } do { if (i+1 == tab->n_zero) { GBR_lp_set_obj(lp, B->row[1+i+1]+1, dim); ctx->stats->gbr_solved_lps++; unbounded = GBR_lp_solve(lp); isl_assert(ctx, !unbounded, goto error); GBR_lp_get_obj_val(lp, &F_new); fixed = GBR_lp_is_fixed(lp); GBR_set_ui(alpha, 0); } else if (use_saved) { row = GBR_lp_next_row(lp); GBR_set(F_new, F_saved); fixed = fixed_saved; GBR_set(alpha, alpha_saved[i]); } else { row = GBR_lp_add_row(lp, B->row[1+i]+1, dim); GBR_lp_set_obj(lp, B->row[1+i+1]+1, dim); ctx->stats->gbr_solved_lps++; unbounded = GBR_lp_solve(lp); isl_assert(ctx, !unbounded, goto error); GBR_lp_get_obj_val(lp, &F_new); fixed = GBR_lp_is_fixed(lp); GBR_lp_get_alpha(lp, row, &alpha); if (i > 0) save_alpha(lp, row-i, i, alpha_saved); if (GBR_lp_del_row(lp) < 0) goto error; } GBR_set(F[i+1], F_new); GBR_floor(mu[0], alpha); GBR_ceil(mu[1], alpha); if (isl_int_eq(mu[0], mu[1])) isl_int_set(tmp, mu[0]); else { int j; for (j = 0; j <= 1; ++j) { isl_int_set(tmp, mu[j]); isl_seq_combine(b_tmp->el, ctx->one, B->row[1+i+1]+1, tmp, B->row[1+i]+1, dim); GBR_lp_set_obj(lp, b_tmp->el, dim); ctx->stats->gbr_solved_lps++; unbounded = GBR_lp_solve(lp); isl_assert(ctx, !unbounded, goto error); GBR_lp_get_obj_val(lp, &mu_F[j]); mu_fixed[j] = GBR_lp_is_fixed(lp); if (i > 0) save_alpha(lp, row-i, i, alpha_buffer[j]); } if (GBR_lt(mu_F[0], mu_F[1])) j = 0; else j = 1; isl_int_set(tmp, mu[j]); GBR_set(F_new, mu_F[j]); fixed = mu_fixed[j]; alpha_saved = alpha_buffer[j]; } isl_seq_combine(B->row[1+i+1]+1, ctx->one, B->row[1+i+1]+1, tmp, B->row[1+i]+1, dim); if (i+1 == tab->n_zero && fixed) { if (!GBR_is_zero(F[i+1])) { empty = GBR_lp_cut(lp, B->row[1+i+1]+1); if (empty) goto done; GBR_set_ui(F[i+1], 0); } tab->n_zero++; } GBR_set(F_old, F[i]); use_saved = 0; /* mu_F[0] = 4 * F_new; mu_F[1] = 3 * F_old */ GBR_set_ui(mu_F[0], 4); GBR_mul(mu_F[0], mu_F[0], F_new); GBR_set_ui(mu_F[1], 3); GBR_mul(mu_F[1], mu_F[1], F_old); if (GBR_lt(mu_F[0], mu_F[1])) { B = isl_mat_swap_rows(B, 1 + i, 1 + i + 1); if (i > tab->n_zero) { use_saved = 1; GBR_set(F_saved, F_new); fixed_saved = fixed; if (GBR_lp_del_row(lp) < 0) goto error; --i; } else { GBR_set(F[tab->n_zero], F_new); if (gbr_only_first && GBR_lt(F[tab->n_zero], two)) break; if (fixed) { if (!GBR_is_zero(F[tab->n_zero])) { empty = GBR_lp_cut(lp, B->row[1+tab->n_zero]+1); if (empty) goto done; GBR_set_ui(F[tab->n_zero], 0); } tab->n_zero++; } } } else { GBR_lp_add_row(lp, B->row[1+i]+1, dim); ++i; } } while (i < n_bounded - 1); if (0) { done: if (empty < 0) { error: isl_mat_free(B); B = NULL; } } GBR_lp_delete(lp); if (alpha_buffer[1]) for (i = 0; i < n_bounded; ++i) { GBR_clear(F[i]); GBR_clear(alpha_buffer[0][i]); GBR_clear(alpha_buffer[1][i]); } free(F); free(alpha_buffer[0]); free(alpha_buffer[1]); isl_vec_free(b_tmp); GBR_clear(alpha); GBR_clear(F_old); GBR_clear(F_new); GBR_clear(F_saved); GBR_clear(mu_F[0]); GBR_clear(mu_F[1]); GBR_clear(two); GBR_clear(one); isl_int_clear(tmp); isl_int_clear(mu[0]); isl_int_clear(mu[1]); tab->basis = B; return tab; } /* Compute an affine form of a reduced basis of the given basic * non-parametric set, which is assumed to be bounded and not * include any integer divisions. * The first column and the first row correspond to the constant term. * * If the input contains any equalities, we first create an initial * basis with the equalities first. Otherwise, we start off with * the identity matrix. */ struct isl_mat *isl_basic_set_reduced_basis(struct isl_basic_set *bset) { struct isl_mat *basis; struct isl_tab *tab; if (!bset) return NULL; if (isl_basic_set_dim(bset, isl_dim_div) != 0) isl_die(bset->ctx, isl_error_invalid, "no integer division allowed", return NULL); if (isl_basic_set_dim(bset, isl_dim_param) != 0) isl_die(bset->ctx, isl_error_invalid, "no parameters allowed", return NULL); tab = isl_tab_from_basic_set(bset, 0); if (!tab) return NULL; if (bset->n_eq == 0) tab->basis = isl_mat_identity(bset->ctx, 1 + tab->n_var); else { isl_mat *eq; unsigned nvar = isl_basic_set_total_dim(bset); eq = isl_mat_sub_alloc6(bset->ctx, bset->eq, 0, bset->n_eq, 1, nvar); eq = isl_mat_left_hermite(eq, 0, NULL, &tab->basis); tab->basis = isl_mat_lin_to_aff(tab->basis); tab->n_zero = bset->n_eq; isl_mat_free(eq); } tab = isl_tab_compute_reduced_basis(tab); if (!tab) return NULL; basis = isl_mat_copy(tab->basis); isl_tab_free(tab); return basis; }