basis_reduction_templ.c revision 1.1 1 1.1 mrg /*
2 1.1 mrg * Copyright 2006-2007 Universiteit Leiden
3 1.1 mrg * Copyright 2008-2009 Katholieke Universiteit Leuven
4 1.1 mrg *
5 1.1 mrg * Use of this software is governed by the MIT license
6 1.1 mrg *
7 1.1 mrg * Written by Sven Verdoolaege, Leiden Institute of Advanced Computer Science,
8 1.1 mrg * Universiteit Leiden, Niels Bohrweg 1, 2333 CA Leiden, The Netherlands
9 1.1 mrg * and K.U.Leuven, Departement Computerwetenschappen, Celestijnenlaan 200A,
10 1.1 mrg * B-3001 Leuven, Belgium
11 1.1 mrg */
12 1.1 mrg
13 1.1 mrg #include <stdlib.h>
14 1.1 mrg #include <isl_ctx_private.h>
15 1.1 mrg #include <isl_map_private.h>
16 1.1 mrg #include <isl_vec_private.h>
17 1.1 mrg #include <isl_options_private.h>
18 1.1 mrg #include "isl_basis_reduction.h"
19 1.1 mrg
20 1.1 mrg static void save_alpha(GBR_LP *lp, int first, int n, GBR_type *alpha)
21 1.1 mrg {
22 1.1 mrg int i;
23 1.1 mrg
24 1.1 mrg for (i = 0; i < n; ++i)
25 1.1 mrg GBR_lp_get_alpha(lp, first + i, &alpha[i]);
26 1.1 mrg }
27 1.1 mrg
28 1.1 mrg /* Compute a reduced basis for the set represented by the tableau "tab".
29 1.1 mrg * tab->basis, which must be initialized by the calling function to an affine
30 1.1 mrg * unimodular basis, is updated to reflect the reduced basis.
31 1.1 mrg * The first tab->n_zero rows of the basis (ignoring the constant row)
32 1.1 mrg * are assumed to correspond to equalities and are left untouched.
33 1.1 mrg * tab->n_zero is updated to reflect any additional equalities that
34 1.1 mrg * have been detected in the first rows of the new basis.
35 1.1 mrg * The final tab->n_unbounded rows of the basis are assumed to correspond
36 1.1 mrg * to unbounded directions and are also left untouched.
37 1.1 mrg * In particular this means that the remaining rows are assumed to
38 1.1 mrg * correspond to bounded directions.
39 1.1 mrg *
40 1.1 mrg * This function implements the algorithm described in
41 1.1 mrg * "An Implementation of the Generalized Basis Reduction Algorithm
42 1.1 mrg * for Integer Programming" of Cook el al. to compute a reduced basis.
43 1.1 mrg * We use \epsilon = 1/4.
44 1.1 mrg *
45 1.1 mrg * If ctx->opt->gbr_only_first is set, the user is only interested
46 1.1 mrg * in the first direction. In this case we stop the basis reduction when
47 1.1 mrg * the width in the first direction becomes smaller than 2.
48 1.1 mrg */
49 1.1 mrg struct isl_tab *isl_tab_compute_reduced_basis(struct isl_tab *tab)
50 1.1 mrg {
51 1.1 mrg unsigned dim;
52 1.1 mrg struct isl_ctx *ctx;
53 1.1 mrg struct isl_mat *B;
54 1.1 mrg int i;
55 1.1 mrg GBR_LP *lp = NULL;
56 1.1 mrg GBR_type F_old, alpha, F_new;
57 1.1 mrg int row;
58 1.1 mrg isl_int tmp;
59 1.1 mrg struct isl_vec *b_tmp;
60 1.1 mrg GBR_type *F = NULL;
61 1.1 mrg GBR_type *alpha_buffer[2] = { NULL, NULL };
62 1.1 mrg GBR_type *alpha_saved;
63 1.1 mrg GBR_type F_saved;
64 1.1 mrg int use_saved = 0;
65 1.1 mrg isl_int mu[2];
66 1.1 mrg GBR_type mu_F[2];
67 1.1 mrg GBR_type two;
68 1.1 mrg GBR_type one;
69 1.1 mrg int empty = 0;
70 1.1 mrg int fixed = 0;
71 1.1 mrg int fixed_saved = 0;
72 1.1 mrg int mu_fixed[2];
73 1.1 mrg int n_bounded;
74 1.1 mrg int gbr_only_first;
75 1.1 mrg
76 1.1 mrg if (!tab)
77 1.1 mrg return NULL;
78 1.1 mrg
79 1.1 mrg if (tab->empty)
80 1.1 mrg return tab;
81 1.1 mrg
82 1.1 mrg ctx = tab->mat->ctx;
83 1.1 mrg gbr_only_first = ctx->opt->gbr_only_first;
84 1.1 mrg dim = tab->n_var;
85 1.1 mrg B = tab->basis;
86 1.1 mrg if (!B)
87 1.1 mrg return tab;
88 1.1 mrg
89 1.1 mrg n_bounded = dim - tab->n_unbounded;
90 1.1 mrg if (n_bounded <= tab->n_zero + 1)
91 1.1 mrg return tab;
92 1.1 mrg
93 1.1 mrg isl_int_init(tmp);
94 1.1 mrg isl_int_init(mu[0]);
95 1.1 mrg isl_int_init(mu[1]);
96 1.1 mrg
97 1.1 mrg GBR_init(alpha);
98 1.1 mrg GBR_init(F_old);
99 1.1 mrg GBR_init(F_new);
100 1.1 mrg GBR_init(F_saved);
101 1.1 mrg GBR_init(mu_F[0]);
102 1.1 mrg GBR_init(mu_F[1]);
103 1.1 mrg GBR_init(two);
104 1.1 mrg GBR_init(one);
105 1.1 mrg
106 1.1 mrg b_tmp = isl_vec_alloc(ctx, dim);
107 1.1 mrg if (!b_tmp)
108 1.1 mrg goto error;
109 1.1 mrg
110 1.1 mrg F = isl_alloc_array(ctx, GBR_type, n_bounded);
111 1.1 mrg alpha_buffer[0] = isl_alloc_array(ctx, GBR_type, n_bounded);
112 1.1 mrg alpha_buffer[1] = isl_alloc_array(ctx, GBR_type, n_bounded);
113 1.1 mrg alpha_saved = alpha_buffer[0];
114 1.1 mrg
115 1.1 mrg if (!F || !alpha_buffer[0] || !alpha_buffer[1])
116 1.1 mrg goto error;
117 1.1 mrg
118 1.1 mrg for (i = 0; i < n_bounded; ++i) {
119 1.1 mrg GBR_init(F[i]);
120 1.1 mrg GBR_init(alpha_buffer[0][i]);
121 1.1 mrg GBR_init(alpha_buffer[1][i]);
122 1.1 mrg }
123 1.1 mrg
124 1.1 mrg GBR_set_ui(two, 2);
125 1.1 mrg GBR_set_ui(one, 1);
126 1.1 mrg
127 1.1 mrg lp = GBR_lp_init(tab);
128 1.1 mrg if (!lp)
129 1.1 mrg goto error;
130 1.1 mrg
131 1.1 mrg i = tab->n_zero;
132 1.1 mrg
133 1.1 mrg GBR_lp_set_obj(lp, B->row[1+i]+1, dim);
134 1.1 mrg ctx->stats->gbr_solved_lps++;
135 1.1 mrg if (GBR_lp_solve(lp) < 0)
136 1.1 mrg goto error;
137 1.1 mrg GBR_lp_get_obj_val(lp, &F[i]);
138 1.1 mrg
139 1.1 mrg if (GBR_lt(F[i], one)) {
140 1.1 mrg if (!GBR_is_zero(F[i])) {
141 1.1 mrg empty = GBR_lp_cut(lp, B->row[1+i]+1);
142 1.1 mrg if (empty)
143 1.1 mrg goto done;
144 1.1 mrg GBR_set_ui(F[i], 0);
145 1.1 mrg }
146 1.1 mrg tab->n_zero++;
147 1.1 mrg }
148 1.1 mrg
149 1.1 mrg do {
150 1.1 mrg if (i+1 == tab->n_zero) {
151 1.1 mrg GBR_lp_set_obj(lp, B->row[1+i+1]+1, dim);
152 1.1 mrg ctx->stats->gbr_solved_lps++;
153 1.1 mrg if (GBR_lp_solve(lp) < 0)
154 1.1 mrg goto error;
155 1.1 mrg GBR_lp_get_obj_val(lp, &F_new);
156 1.1 mrg fixed = GBR_lp_is_fixed(lp);
157 1.1 mrg GBR_set_ui(alpha, 0);
158 1.1 mrg } else if (use_saved) {
159 1.1 mrg row = GBR_lp_next_row(lp);
160 1.1 mrg GBR_set(F_new, F_saved);
161 1.1 mrg fixed = fixed_saved;
162 1.1 mrg GBR_set(alpha, alpha_saved[i]);
163 1.1 mrg } else {
164 1.1 mrg row = GBR_lp_add_row(lp, B->row[1+i]+1, dim);
165 1.1 mrg GBR_lp_set_obj(lp, B->row[1+i+1]+1, dim);
166 1.1 mrg ctx->stats->gbr_solved_lps++;
167 1.1 mrg if (GBR_lp_solve(lp) < 0)
168 1.1 mrg goto error;
169 1.1 mrg GBR_lp_get_obj_val(lp, &F_new);
170 1.1 mrg fixed = GBR_lp_is_fixed(lp);
171 1.1 mrg
172 1.1 mrg GBR_lp_get_alpha(lp, row, &alpha);
173 1.1 mrg
174 1.1 mrg if (i > 0)
175 1.1 mrg save_alpha(lp, row-i, i, alpha_saved);
176 1.1 mrg
177 1.1 mrg if (GBR_lp_del_row(lp) < 0)
178 1.1 mrg goto error;
179 1.1 mrg }
180 1.1 mrg GBR_set(F[i+1], F_new);
181 1.1 mrg
182 1.1 mrg GBR_floor(mu[0], alpha);
183 1.1 mrg GBR_ceil(mu[1], alpha);
184 1.1 mrg
185 1.1 mrg if (isl_int_eq(mu[0], mu[1]))
186 1.1 mrg isl_int_set(tmp, mu[0]);
187 1.1 mrg else {
188 1.1 mrg int j;
189 1.1 mrg
190 1.1 mrg for (j = 0; j <= 1; ++j) {
191 1.1 mrg isl_int_set(tmp, mu[j]);
192 1.1 mrg isl_seq_combine(b_tmp->el,
193 1.1 mrg ctx->one, B->row[1+i+1]+1,
194 1.1 mrg tmp, B->row[1+i]+1, dim);
195 1.1 mrg GBR_lp_set_obj(lp, b_tmp->el, dim);
196 1.1 mrg ctx->stats->gbr_solved_lps++;
197 1.1 mrg if (GBR_lp_solve(lp) < 0)
198 1.1 mrg goto error;
199 1.1 mrg GBR_lp_get_obj_val(lp, &mu_F[j]);
200 1.1 mrg mu_fixed[j] = GBR_lp_is_fixed(lp);
201 1.1 mrg if (i > 0)
202 1.1 mrg save_alpha(lp, row-i, i, alpha_buffer[j]);
203 1.1 mrg }
204 1.1 mrg
205 1.1 mrg if (GBR_lt(mu_F[0], mu_F[1]))
206 1.1 mrg j = 0;
207 1.1 mrg else
208 1.1 mrg j = 1;
209 1.1 mrg
210 1.1 mrg isl_int_set(tmp, mu[j]);
211 1.1 mrg GBR_set(F_new, mu_F[j]);
212 1.1 mrg fixed = mu_fixed[j];
213 1.1 mrg alpha_saved = alpha_buffer[j];
214 1.1 mrg }
215 1.1 mrg isl_seq_combine(B->row[1+i+1]+1, ctx->one, B->row[1+i+1]+1,
216 1.1 mrg tmp, B->row[1+i]+1, dim);
217 1.1 mrg
218 1.1 mrg if (i+1 == tab->n_zero && fixed) {
219 1.1 mrg if (!GBR_is_zero(F[i+1])) {
220 1.1 mrg empty = GBR_lp_cut(lp, B->row[1+i+1]+1);
221 1.1 mrg if (empty)
222 1.1 mrg goto done;
223 1.1 mrg GBR_set_ui(F[i+1], 0);
224 1.1 mrg }
225 1.1 mrg tab->n_zero++;
226 1.1 mrg }
227 1.1 mrg
228 1.1 mrg GBR_set(F_old, F[i]);
229 1.1 mrg
230 1.1 mrg use_saved = 0;
231 1.1 mrg /* mu_F[0] = 4 * F_new; mu_F[1] = 3 * F_old */
232 1.1 mrg GBR_set_ui(mu_F[0], 4);
233 1.1 mrg GBR_mul(mu_F[0], mu_F[0], F_new);
234 1.1 mrg GBR_set_ui(mu_F[1], 3);
235 1.1 mrg GBR_mul(mu_F[1], mu_F[1], F_old);
236 1.1 mrg if (GBR_lt(mu_F[0], mu_F[1])) {
237 1.1 mrg B = isl_mat_swap_rows(B, 1 + i, 1 + i + 1);
238 1.1 mrg if (i > tab->n_zero) {
239 1.1 mrg use_saved = 1;
240 1.1 mrg GBR_set(F_saved, F_new);
241 1.1 mrg fixed_saved = fixed;
242 1.1 mrg if (GBR_lp_del_row(lp) < 0)
243 1.1 mrg goto error;
244 1.1 mrg --i;
245 1.1 mrg } else {
246 1.1 mrg GBR_set(F[tab->n_zero], F_new);
247 1.1 mrg if (gbr_only_first && GBR_lt(F[tab->n_zero], two))
248 1.1 mrg break;
249 1.1 mrg
250 1.1 mrg if (fixed) {
251 1.1 mrg if (!GBR_is_zero(F[tab->n_zero])) {
252 1.1 mrg empty = GBR_lp_cut(lp, B->row[1+tab->n_zero]+1);
253 1.1 mrg if (empty)
254 1.1 mrg goto done;
255 1.1 mrg GBR_set_ui(F[tab->n_zero], 0);
256 1.1 mrg }
257 1.1 mrg tab->n_zero++;
258 1.1 mrg }
259 1.1 mrg }
260 1.1 mrg } else {
261 1.1 mrg GBR_lp_add_row(lp, B->row[1+i]+1, dim);
262 1.1 mrg ++i;
263 1.1 mrg }
264 1.1 mrg } while (i < n_bounded - 1);
265 1.1 mrg
266 1.1 mrg if (0) {
267 1.1 mrg done:
268 1.1 mrg if (empty < 0) {
269 1.1 mrg error:
270 1.1 mrg isl_mat_free(B);
271 1.1 mrg B = NULL;
272 1.1 mrg }
273 1.1 mrg }
274 1.1 mrg
275 1.1 mrg GBR_lp_delete(lp);
276 1.1 mrg
277 1.1 mrg if (alpha_buffer[1])
278 1.1 mrg for (i = 0; i < n_bounded; ++i) {
279 1.1 mrg GBR_clear(F[i]);
280 1.1 mrg GBR_clear(alpha_buffer[0][i]);
281 1.1 mrg GBR_clear(alpha_buffer[1][i]);
282 1.1 mrg }
283 1.1 mrg free(F);
284 1.1 mrg free(alpha_buffer[0]);
285 1.1 mrg free(alpha_buffer[1]);
286 1.1 mrg
287 1.1 mrg isl_vec_free(b_tmp);
288 1.1 mrg
289 1.1 mrg GBR_clear(alpha);
290 1.1 mrg GBR_clear(F_old);
291 1.1 mrg GBR_clear(F_new);
292 1.1 mrg GBR_clear(F_saved);
293 1.1 mrg GBR_clear(mu_F[0]);
294 1.1 mrg GBR_clear(mu_F[1]);
295 1.1 mrg GBR_clear(two);
296 1.1 mrg GBR_clear(one);
297 1.1 mrg
298 1.1 mrg isl_int_clear(tmp);
299 1.1 mrg isl_int_clear(mu[0]);
300 1.1 mrg isl_int_clear(mu[1]);
301 1.1 mrg
302 1.1 mrg tab->basis = B;
303 1.1 mrg
304 1.1 mrg return tab;
305 1.1 mrg }
306 1.1 mrg
307 1.1 mrg /* Compute an affine form of a reduced basis of the given basic
308 1.1 mrg * non-parametric set, which is assumed to be bounded and not
309 1.1 mrg * include any integer divisions.
310 1.1 mrg * The first column and the first row correspond to the constant term.
311 1.1 mrg *
312 1.1 mrg * If the input contains any equalities, we first create an initial
313 1.1 mrg * basis with the equalities first. Otherwise, we start off with
314 1.1 mrg * the identity matrix.
315 1.1 mrg */
316 1.1 mrg __isl_give isl_mat *isl_basic_set_reduced_basis(__isl_keep isl_basic_set *bset)
317 1.1 mrg {
318 1.1 mrg struct isl_mat *basis;
319 1.1 mrg struct isl_tab *tab;
320 1.1 mrg
321 1.1 mrg if (isl_basic_set_check_no_locals(bset) < 0 ||
322 1.1 mrg isl_basic_set_check_no_params(bset) < 0)
323 1.1 mrg return NULL;
324 1.1 mrg
325 1.1 mrg tab = isl_tab_from_basic_set(bset, 0);
326 1.1 mrg if (!tab)
327 1.1 mrg return NULL;
328 1.1 mrg
329 1.1 mrg if (bset->n_eq == 0)
330 1.1 mrg tab->basis = isl_mat_identity(bset->ctx, 1 + tab->n_var);
331 1.1 mrg else {
332 1.1 mrg isl_mat *eq;
333 1.1 mrg isl_size nvar = isl_basic_set_dim(bset, isl_dim_all);
334 1.1 mrg if (nvar < 0)
335 1.1 mrg goto error;
336 1.1 mrg eq = isl_mat_sub_alloc6(bset->ctx, bset->eq, 0, bset->n_eq,
337 1.1 mrg 1, nvar);
338 1.1 mrg eq = isl_mat_left_hermite(eq, 0, NULL, &tab->basis);
339 1.1 mrg tab->basis = isl_mat_lin_to_aff(tab->basis);
340 1.1 mrg tab->n_zero = bset->n_eq;
341 1.1 mrg isl_mat_free(eq);
342 1.1 mrg }
343 1.1 mrg tab = isl_tab_compute_reduced_basis(tab);
344 1.1 mrg if (!tab)
345 1.1 mrg return NULL;
346 1.1 mrg
347 1.1 mrg basis = isl_mat_copy(tab->basis);
348 1.1 mrg
349 1.1 mrg isl_tab_free(tab);
350 1.1 mrg
351 1.1 mrg return basis;
352 1.1 mrg error:
353 1.1 mrg isl_tab_free(tab);
354 1.1 mrg return NULL;
355 1.1 mrg }
356