2 #include "isl_basis_reduction.h"
4 static void save_alpha(GBR_LP *lp, int first, int n, GBR_type *alpha)
8 for (i = 0; i < n; ++i)
9 GBR_lp_get_alpha(lp, first + i, &alpha[i]);
12 /* Compute a reduced basis for the set represented by the tableau "tab".
13 * tab->basis, must be initialized by the calling function to an affine
14 * unimodular basis, is updated to reflect the reduced basis.
15 * The first tab->n_zero rows of the basis (ignoring the constant row)
16 * are assumed to correspond to equalities and are left untouched.
17 * tab->n_zero is updated to reflect any additional equalities that
18 * have been detected in the first rows of the new basis.
19 * The final tab->n_unbounded rows of the basis are assumed to correspond
20 * to unbounded directions and are also left untouched.
21 * In particular this means that the remaining rows are assumed to
22 * correspond to bounded directions.
24 * This function implements the algorithm described in
25 * "An Implementation of the Generalized Basis Reduction Algorithm
26 * for Integer Programming" of Cook el al. to compute a reduced basis.
27 * We use \epsilon = 1/4.
29 * If ctx->gbr_only_first is set, the user is only interested
30 * in the first direction. In this case we stop the basis reduction when
31 * the width in the first direction becomes smaller than 2.
33 struct isl_tab *isl_tab_compute_reduced_basis(struct isl_tab *tab)
41 GBR_type F_old, alpha, F_new;
44 struct isl_vec *b_tmp;
46 GBR_type *alpha_buffer[2] = { NULL, NULL };
47 GBR_type *alpha_saved;
69 n_bounded = dim - tab->n_unbounded;
70 if (n_bounded <= tab->n_zero + 1)
86 b_tmp = isl_vec_alloc(ctx, dim);
90 F = isl_alloc_array(ctx, GBR_type, n_bounded);
91 alpha_buffer[0] = isl_alloc_array(ctx, GBR_type, n_bounded);
92 alpha_buffer[1] = isl_alloc_array(ctx, GBR_type, n_bounded);
93 alpha_saved = alpha_buffer[0];
95 if (!F || !alpha_buffer[0] || !alpha_buffer[1])
98 for (i = 0; i < n_bounded; ++i) {
100 GBR_init(alpha_buffer[0][i]);
101 GBR_init(alpha_buffer[1][i]);
107 lp = GBR_lp_init(tab);
113 GBR_lp_set_obj(lp, B->row[1+i]+1, dim);
114 ctx->stats->gbr_solved_lps++;
115 unbounded = GBR_lp_solve(lp);
116 isl_assert(ctx, !unbounded, goto error);
117 GBR_lp_get_obj_val(lp, &F[i]);
119 if (GBR_lt(F[i], one)) {
120 if (!GBR_is_zero(F[i])) {
121 empty = GBR_lp_cut(lp, B->row[1+i]+1);
130 if (i+1 == tab->n_zero) {
131 GBR_lp_set_obj(lp, B->row[1+i+1]+1, dim);
132 ctx->stats->gbr_solved_lps++;
133 unbounded = GBR_lp_solve(lp);
134 isl_assert(ctx, !unbounded, goto error);
135 GBR_lp_get_obj_val(lp, &F_new);
136 fixed = GBR_lp_is_fixed(lp);
137 GBR_set_ui(alpha, 0);
140 row = GBR_lp_next_row(lp);
141 GBR_set(F_new, F_saved);
143 GBR_set(alpha, alpha_saved[i]);
145 row = GBR_lp_add_row(lp, B->row[1+i]+1, dim);
146 GBR_lp_set_obj(lp, B->row[1+i+1]+1, dim);
147 ctx->stats->gbr_solved_lps++;
148 unbounded = GBR_lp_solve(lp);
149 isl_assert(ctx, !unbounded, goto error);
150 GBR_lp_get_obj_val(lp, &F_new);
151 fixed = GBR_lp_is_fixed(lp);
153 GBR_lp_get_alpha(lp, row, &alpha);
156 save_alpha(lp, row-i, i, alpha_saved);
158 if (GBR_lp_del_row(lp) < 0)
161 GBR_set(F[i+1], F_new);
163 GBR_floor(mu[0], alpha);
164 GBR_ceil(mu[1], alpha);
166 if (isl_int_eq(mu[0], mu[1]))
167 isl_int_set(tmp, mu[0]);
171 for (j = 0; j <= 1; ++j) {
172 isl_int_set(tmp, mu[j]);
173 isl_seq_combine(b_tmp->el,
174 ctx->one, B->row[1+i+1]+1,
175 tmp, B->row[1+i]+1, dim);
176 GBR_lp_set_obj(lp, b_tmp->el, dim);
177 ctx->stats->gbr_solved_lps++;
178 unbounded = GBR_lp_solve(lp);
179 isl_assert(ctx, !unbounded, goto error);
180 GBR_lp_get_obj_val(lp, &mu_F[j]);
181 mu_fixed[j] = GBR_lp_is_fixed(lp);
183 save_alpha(lp, row-i, i, alpha_buffer[j]);
186 if (GBR_lt(mu_F[0], mu_F[1]))
191 isl_int_set(tmp, mu[j]);
192 GBR_set(F_new, mu_F[j]);
194 alpha_saved = alpha_buffer[j];
196 isl_seq_combine(B->row[1+i+1]+1, ctx->one, B->row[1+i+1]+1,
197 tmp, B->row[1+i]+1, dim);
199 if (i+1 == tab->n_zero && fixed) {
200 if (!GBR_is_zero(F[i+1])) {
201 empty = GBR_lp_cut(lp, B->row[1+i+1]+1);
204 GBR_set_ui(F[i+1], 0);
209 GBR_set(F_old, F[i]);
212 /* mu_F[0] = 4 * F_new; mu_F[1] = 3 * F_old */
213 GBR_set_ui(mu_F[0], 4);
214 GBR_mul(mu_F[0], mu_F[0], F_new);
215 GBR_set_ui(mu_F[1], 3);
216 GBR_mul(mu_F[1], mu_F[1], F_old);
217 if (GBR_lt(mu_F[0], mu_F[1])) {
218 B = isl_mat_swap_rows(B, 1 + i, 1 + i + 1);
219 if (i > tab->n_zero) {
221 GBR_set(F_saved, F_new);
223 if (GBR_lp_del_row(lp) < 0)
227 GBR_set(F[tab->n_zero], F_new);
228 if (ctx->gbr_only_first && GBR_lt(F[tab->n_zero], two))
232 if (!GBR_is_zero(F[tab->n_zero])) {
233 empty = GBR_lp_cut(lp, B->row[1+tab->n_zero]+1);
236 GBR_set_ui(F[tab->n_zero], 0);
242 GBR_lp_add_row(lp, B->row[1+i]+1, dim);
245 } while (i < n_bounded - 1);
259 for (i = 0; i < n_bounded; ++i) {
261 GBR_clear(alpha_buffer[0][i]);
262 GBR_clear(alpha_buffer[1][i]);
265 free(alpha_buffer[0]);
266 free(alpha_buffer[1]);
280 isl_int_clear(mu[0]);
281 isl_int_clear(mu[1]);
288 struct isl_mat *isl_basic_set_reduced_basis(struct isl_basic_set *bset)
290 struct isl_mat *basis;
293 isl_assert(bset->ctx, bset->n_eq == 0, return NULL);
295 tab = isl_tab_from_basic_set(bset);
296 tab->basis = isl_mat_identity(bset->ctx, 1 + tab->n_var);
297 tab = isl_tab_compute_reduced_basis(tab);
301 basis = isl_mat_copy(tab->basis);