/* * Copyright 2008-2009 Katholieke Universiteit Leuven * * Use of this software is governed by the GNU LGPLv2.1 license * * Written by Sven Verdoolaege, K.U.Leuven, Departement * Computerwetenschappen, Celestijnenlaan 200A, B-3001 Leuven, Belgium */ #include "isl_ilp.h" #include "isl_map_private.h" #include "isl_sample.h" #include "isl_seq.h" #include "isl_equalities.h" /* Given a basic set "bset", construct a basic set U such that for * each element x in U, the whole unit box positioned at x is inside * the given basic set. * Note that U may not contain all points that satisfy this property. * * We simply add the sum of all negative coefficients to the constant * term. This ensures that if x satisfies the resulting constraints, * then x plus any sum of unit vectors satisfies the original constraints. */ static struct isl_basic_set *unit_box_base_points(struct isl_basic_set *bset) { int i, j, k; struct isl_basic_set *unit_box = NULL; unsigned total; if (!bset) goto error; if (bset->n_eq != 0) { unit_box = isl_basic_set_empty_like(bset); isl_basic_set_free(bset); return unit_box; } total = isl_basic_set_total_dim(bset); unit_box = isl_basic_set_alloc_dim(isl_basic_set_get_dim(bset), 0, 0, bset->n_ineq); for (i = 0; i < bset->n_ineq; ++i) { k = isl_basic_set_alloc_inequality(unit_box); if (k < 0) goto error; isl_seq_cpy(unit_box->ineq[k], bset->ineq[i], 1 + total); for (j = 0; j < total; ++j) { if (isl_int_is_nonneg(unit_box->ineq[k][1 + j])) continue; isl_int_add(unit_box->ineq[k][0], unit_box->ineq[k][0], unit_box->ineq[k][1 + j]); } } isl_basic_set_free(bset); return unit_box; error: isl_basic_set_free(bset); isl_basic_set_free(unit_box); return NULL; } /* Find an integer point in "bset", preferably one that is * close to minimizing "f". * * We first check if we can easily put unit boxes inside bset. * If so, we take the best base point of any of the unit boxes we can find * and round it up to the nearest integer. * If not, we simply pick any integer point in "bset". */ static struct isl_vec *initial_solution(struct isl_basic_set *bset, isl_int *f) { enum isl_lp_result res; struct isl_basic_set *unit_box; struct isl_vec *sol; unit_box = unit_box_base_points(isl_basic_set_copy(bset)); res = isl_basic_set_solve_lp(unit_box, 0, f, bset->ctx->one, NULL, NULL, &sol); if (res == isl_lp_ok) { isl_basic_set_free(unit_box); return isl_vec_ceil(sol); } isl_basic_set_free(unit_box); return isl_basic_set_sample_vec(isl_basic_set_copy(bset)); } /* Restrict "bset" to those points with values for f in the interval [l, u]. */ static struct isl_basic_set *add_bounds(struct isl_basic_set *bset, isl_int *f, isl_int l, isl_int u) { int k; unsigned total; total = isl_basic_set_total_dim(bset); bset = isl_basic_set_extend_constraints(bset, 0, 2); k = isl_basic_set_alloc_inequality(bset); if (k < 0) goto error; isl_seq_cpy(bset->ineq[k], f, 1 + total); isl_int_sub(bset->ineq[k][0], bset->ineq[k][0], l); k = isl_basic_set_alloc_inequality(bset); if (k < 0) goto error; isl_seq_neg(bset->ineq[k], f, 1 + total); isl_int_add(bset->ineq[k][0], bset->ineq[k][0], u); return bset; error: isl_basic_set_free(bset); return NULL; } /* Find an integer point in "bset" that minimizes f (in any) such that * the value of f lies inside the interval [l, u]. * Return this integer point if it can be found. * Otherwise, return sol. * * We perform a number of steps until l > u. * In each step, we look for an integer point with value in either * the whole interval [l, u] or half of the interval [l, l+floor(u-l-1/2)]. * The choice depends on whether we have found an integer point in the * previous step. If so, we look for the next point in half of the remaining * interval. * If we find a point, the current solution is updated and u is set * to its value minus 1. * If no point can be found, we update l to the upper bound of the interval * we checked (u or l+floor(u-l-1/2)) plus 1. */ static struct isl_vec *solve_ilp_search(struct isl_basic_set *bset, isl_int *f, isl_int *opt, struct isl_vec *sol, isl_int l, isl_int u) { isl_int tmp; int divide = 1; isl_int_init(tmp); while (isl_int_le(l, u)) { struct isl_basic_set *slice; struct isl_vec *sample; if (!divide) isl_int_set(tmp, u); else { isl_int_sub(tmp, u, l); isl_int_fdiv_q_ui(tmp, tmp, 2); isl_int_add(tmp, tmp, l); } slice = add_bounds(isl_basic_set_copy(bset), f, l, tmp); sample = isl_basic_set_sample_vec(slice); if (!sample) { isl_vec_free(sol); sol = NULL; break; } if (sample->size > 0) { isl_vec_free(sol); sol = sample; isl_seq_inner_product(f, sol->el, sol->size, opt); isl_int_sub_ui(u, *opt, 1); divide = 1; } else { isl_vec_free(sample); if (!divide) break; isl_int_add_ui(l, tmp, 1); divide = 0; } } isl_int_clear(tmp); return sol; } /* Find an integer point in "bset" that minimizes f (if any). * If sol_p is not NULL then the integer point is returned in *sol_p. * The optimal value of f is returned in *opt. * * The algorithm maintains a currently best solution and an interval [l, u] * of values of f for which integer solutions could potentially still be found. * The initial value of the best solution so far is any solution. * The initial value of l is minimal value of f over the rationals * (rounded up to the nearest integer). * The initial value of u is the value of f at the initial solution minus 1. * * We then call solve_ilp_search to perform a binary search on the interval. */ static enum isl_lp_result solve_ilp(struct isl_basic_set *bset, isl_int *f, isl_int *opt, struct isl_vec **sol_p) { enum isl_lp_result res; isl_int l, u; struct isl_vec *sol; res = isl_basic_set_solve_lp(bset, 0, f, bset->ctx->one, opt, NULL, &sol); if (res == isl_lp_ok && isl_int_is_one(sol->el[0])) { if (sol_p) *sol_p = sol; else isl_vec_free(sol); return isl_lp_ok; } isl_vec_free(sol); if (res == isl_lp_error || res == isl_lp_empty) return res; sol = initial_solution(bset, f); if (!sol) return isl_lp_error; if (sol->size == 0) { isl_vec_free(sol); return isl_lp_empty; } if (res == isl_lp_unbounded) { isl_vec_free(sol); return isl_lp_unbounded; } isl_int_init(l); isl_int_init(u); isl_int_set(l, *opt); isl_seq_inner_product(f, sol->el, sol->size, opt); isl_int_sub_ui(u, *opt, 1); sol = solve_ilp_search(bset, f, opt, sol, l, u); if (!sol) res = isl_lp_error; isl_int_clear(l); isl_int_clear(u); if (sol_p) *sol_p = sol; else isl_vec_free(sol); return res; } static enum isl_lp_result solve_ilp_with_eq(struct isl_basic_set *bset, int max, isl_int *f, isl_int *opt, struct isl_vec **sol_p) { unsigned dim; enum isl_lp_result res; struct isl_mat *T = NULL; struct isl_vec *v; bset = isl_basic_set_copy(bset); dim = isl_basic_set_total_dim(bset); v = isl_vec_alloc(bset->ctx, 1 + dim); if (!v) goto error; isl_seq_cpy(v->el, f, 1 + dim); bset = isl_basic_set_remove_equalities(bset, &T, NULL); v = isl_vec_mat_product(v, isl_mat_copy(T)); if (!v) goto error; res = isl_basic_set_solve_ilp(bset, max, v->el, opt, sol_p); isl_vec_free(v); if (res == isl_lp_ok && sol_p) { *sol_p = isl_mat_vec_product(T, *sol_p); if (!*sol_p) res = isl_lp_error; } else isl_mat_free(T); isl_basic_set_free(bset); return res; error: isl_mat_free(T); isl_basic_set_free(bset); return isl_lp_error; } /* Find an integer point in "bset" that minimizes (or maximizes if max is set) * f (if any). * If sol_p is not NULL then the integer point is returned in *sol_p. * The optimal value of f is returned in *opt. * * If there is any equality among the points in "bset", then we first * project it out. Otherwise, we continue with solve_ilp above. */ enum isl_lp_result isl_basic_set_solve_ilp(struct isl_basic_set *bset, int max, isl_int *f, isl_int *opt, struct isl_vec **sol_p) { unsigned dim; enum isl_lp_result res; if (!bset) return isl_lp_error; if (sol_p) *sol_p = NULL; isl_assert(bset->ctx, isl_basic_set_n_param(bset) == 0, goto error); if (isl_basic_set_fast_is_empty(bset)) return isl_lp_empty; if (bset->n_eq) return solve_ilp_with_eq(bset, max, f, opt, sol_p); dim = isl_basic_set_total_dim(bset); if (max) isl_seq_neg(f, f, 1 + dim); res = solve_ilp(bset, f, opt, sol_p); if (max) { isl_seq_neg(f, f, 1 + dim); isl_int_neg(*opt, *opt); } return res; error: isl_basic_set_free(bset); return isl_lp_error; }