2 * Copyright 2006-2007 Universiteit Leiden
3 * Copyright 2008-2009 Katholieke Universiteit Leuven
5 * Use of this software is governed by the GNU LGPLv2.1 license
7 * Written by Sven Verdoolaege, Leiden Institute of Advanced Computer Science,
8 * Universiteit Leiden, Niels Bohrweg 1, 2333 CA Leiden, The Netherlands
9 * and K.U.Leuven, Departement Computerwetenschappen, Celestijnenlaan 200A,
10 * B-3001 Leuven, Belgium
14 #include <isl_map_private.h>
15 #include "isl_basis_reduction.h"
17 static void save_alpha(GBR_LP
*lp
, int first
, int n
, GBR_type
*alpha
)
21 for (i
= 0; i
< n
; ++i
)
22 GBR_lp_get_alpha(lp
, first
+ i
, &alpha
[i
]);
25 /* Compute a reduced basis for the set represented by the tableau "tab".
26 * tab->basis, which must be initialized by the calling function to an affine
27 * unimodular basis, is updated to reflect the reduced basis.
28 * The first tab->n_zero rows of the basis (ignoring the constant row)
29 * are assumed to correspond to equalities and are left untouched.
30 * tab->n_zero is updated to reflect any additional equalities that
31 * have been detected in the first rows of the new basis.
32 * The final tab->n_unbounded rows of the basis are assumed to correspond
33 * to unbounded directions and are also left untouched.
34 * In particular this means that the remaining rows are assumed to
35 * correspond to bounded directions.
37 * This function implements the algorithm described in
38 * "An Implementation of the Generalized Basis Reduction Algorithm
39 * for Integer Programming" of Cook el al. to compute a reduced basis.
40 * We use \epsilon = 1/4.
42 * If ctx->opt->gbr_only_first is set, the user is only interested
43 * in the first direction. In this case we stop the basis reduction when
44 * the width in the first direction becomes smaller than 2.
46 struct isl_tab
*isl_tab_compute_reduced_basis(struct isl_tab
*tab
)
54 GBR_type F_old
, alpha
, F_new
;
57 struct isl_vec
*b_tmp
;
59 GBR_type
*alpha_buffer
[2] = { NULL
, NULL
};
60 GBR_type
*alpha_saved
;
81 gbr_only_first
= ctx
->opt
->gbr_only_first
;
87 n_bounded
= dim
- tab
->n_unbounded
;
88 if (n_bounded
<= tab
->n_zero
+ 1)
104 b_tmp
= isl_vec_alloc(ctx
, dim
);
108 F
= isl_alloc_array(ctx
, GBR_type
, n_bounded
);
109 alpha_buffer
[0] = isl_alloc_array(ctx
, GBR_type
, n_bounded
);
110 alpha_buffer
[1] = isl_alloc_array(ctx
, GBR_type
, n_bounded
);
111 alpha_saved
= alpha_buffer
[0];
113 if (!F
|| !alpha_buffer
[0] || !alpha_buffer
[1])
116 for (i
= 0; i
< n_bounded
; ++i
) {
118 GBR_init(alpha_buffer
[0][i
]);
119 GBR_init(alpha_buffer
[1][i
]);
125 lp
= GBR_lp_init(tab
);
131 GBR_lp_set_obj(lp
, B
->row
[1+i
]+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
[i
]);
137 if (GBR_lt(F
[i
], one
)) {
138 if (!GBR_is_zero(F
[i
])) {
139 empty
= GBR_lp_cut(lp
, B
->row
[1+i
]+1);
148 if (i
+1 == tab
->n_zero
) {
149 GBR_lp_set_obj(lp
, B
->row
[1+i
+1]+1, dim
);
150 ctx
->stats
->gbr_solved_lps
++;
151 unbounded
= GBR_lp_solve(lp
);
152 isl_assert(ctx
, !unbounded
, goto error
);
153 GBR_lp_get_obj_val(lp
, &F_new
);
154 fixed
= GBR_lp_is_fixed(lp
);
155 GBR_set_ui(alpha
, 0);
158 row
= GBR_lp_next_row(lp
);
159 GBR_set(F_new
, F_saved
);
161 GBR_set(alpha
, alpha_saved
[i
]);
163 row
= GBR_lp_add_row(lp
, B
->row
[1+i
]+1, dim
);
164 GBR_lp_set_obj(lp
, B
->row
[1+i
+1]+1, dim
);
165 ctx
->stats
->gbr_solved_lps
++;
166 unbounded
= GBR_lp_solve(lp
);
167 isl_assert(ctx
, !unbounded
, goto error
);
168 GBR_lp_get_obj_val(lp
, &F_new
);
169 fixed
= GBR_lp_is_fixed(lp
);
171 GBR_lp_get_alpha(lp
, row
, &alpha
);
174 save_alpha(lp
, row
-i
, i
, alpha_saved
);
176 if (GBR_lp_del_row(lp
) < 0)
179 GBR_set(F
[i
+1], F_new
);
181 GBR_floor(mu
[0], alpha
);
182 GBR_ceil(mu
[1], alpha
);
184 if (isl_int_eq(mu
[0], mu
[1]))
185 isl_int_set(tmp
, mu
[0]);
189 for (j
= 0; j
<= 1; ++j
) {
190 isl_int_set(tmp
, mu
[j
]);
191 isl_seq_combine(b_tmp
->el
,
192 ctx
->one
, B
->row
[1+i
+1]+1,
193 tmp
, B
->row
[1+i
]+1, dim
);
194 GBR_lp_set_obj(lp
, b_tmp
->el
, dim
);
195 ctx
->stats
->gbr_solved_lps
++;
196 unbounded
= GBR_lp_solve(lp
);
197 isl_assert(ctx
, !unbounded
, goto error
);
198 GBR_lp_get_obj_val(lp
, &mu_F
[j
]);
199 mu_fixed
[j
] = GBR_lp_is_fixed(lp
);
201 save_alpha(lp
, row
-i
, i
, alpha_buffer
[j
]);
204 if (GBR_lt(mu_F
[0], mu_F
[1]))
209 isl_int_set(tmp
, mu
[j
]);
210 GBR_set(F_new
, mu_F
[j
]);
212 alpha_saved
= alpha_buffer
[j
];
214 isl_seq_combine(B
->row
[1+i
+1]+1, ctx
->one
, B
->row
[1+i
+1]+1,
215 tmp
, B
->row
[1+i
]+1, dim
);
217 if (i
+1 == tab
->n_zero
&& fixed
) {
218 if (!GBR_is_zero(F
[i
+1])) {
219 empty
= GBR_lp_cut(lp
, B
->row
[1+i
+1]+1);
222 GBR_set_ui(F
[i
+1], 0);
227 GBR_set(F_old
, F
[i
]);
230 /* mu_F[0] = 4 * F_new; mu_F[1] = 3 * F_old */
231 GBR_set_ui(mu_F
[0], 4);
232 GBR_mul(mu_F
[0], mu_F
[0], F_new
);
233 GBR_set_ui(mu_F
[1], 3);
234 GBR_mul(mu_F
[1], mu_F
[1], F_old
);
235 if (GBR_lt(mu_F
[0], mu_F
[1])) {
236 B
= isl_mat_swap_rows(B
, 1 + i
, 1 + i
+ 1);
237 if (i
> tab
->n_zero
) {
239 GBR_set(F_saved
, F_new
);
241 if (GBR_lp_del_row(lp
) < 0)
245 GBR_set(F
[tab
->n_zero
], F_new
);
246 if (gbr_only_first
&& GBR_lt(F
[tab
->n_zero
], two
))
250 if (!GBR_is_zero(F
[tab
->n_zero
])) {
251 empty
= GBR_lp_cut(lp
, B
->row
[1+tab
->n_zero
]+1);
254 GBR_set_ui(F
[tab
->n_zero
], 0);
260 GBR_lp_add_row(lp
, B
->row
[1+i
]+1, dim
);
263 } while (i
< n_bounded
- 1);
277 for (i
= 0; i
< n_bounded
; ++i
) {
279 GBR_clear(alpha_buffer
[0][i
]);
280 GBR_clear(alpha_buffer
[1][i
]);
283 free(alpha_buffer
[0]);
284 free(alpha_buffer
[1]);
298 isl_int_clear(mu
[0]);
299 isl_int_clear(mu
[1]);
306 /* Compute an affine form of a reduced basis of the given basic
307 * non-parametric set, which is assumed to be bounded and not
308 * include any integer divisions.
309 * The first column and the first row correspond to the constant term.
311 * If the input contains any equalities, we first create an initial
312 * basis with the equalities first. Otherwise, we start off with
313 * the identity matrix.
315 struct isl_mat
*isl_basic_set_reduced_basis(struct isl_basic_set
*bset
)
317 struct isl_mat
*basis
;
323 if (isl_basic_set_dim(bset
, isl_dim_div
) != 0)
324 isl_die(bset
->ctx
, isl_error_invalid
,
325 "no integer division allowed", return NULL
);
326 if (isl_basic_set_dim(bset
, isl_dim_param
) != 0)
327 isl_die(bset
->ctx
, isl_error_invalid
,
328 "no parameters allowed", return NULL
);
330 tab
= isl_tab_from_basic_set(bset
);
335 tab
->basis
= isl_mat_identity(bset
->ctx
, 1 + tab
->n_var
);
338 unsigned nvar
= isl_basic_set_total_dim(bset
);
339 eq
= isl_mat_sub_alloc(bset
->ctx
, bset
->eq
, 0, bset
->n_eq
,
341 eq
= isl_mat_left_hermite(eq
, 0, NULL
, &tab
->basis
);
342 tab
->basis
= isl_mat_lin_to_aff(tab
->basis
);
343 tab
->n_zero
= bset
->n_eq
;
346 tab
= isl_tab_compute_reduced_basis(tab
);
350 basis
= isl_mat_copy(tab
->basis
);