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Implemented the largest cube heuristic from Bromberger and Weidenbach's
paper on cubes. Also fixes an overflow bug in mzp.
Use vswhere to find the visual studio version on windows in the build's ymls.
---------

Signed-off-by: Lev Nachmanson <levnach@hotmail.com>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Lev Nachmanson 2026-06-14 16:25:21 -07:00 committed by GitHub
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18 changed files with 620 additions and 24 deletions

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@ -16,6 +16,9 @@ Author:
Revision History:
--*/
#include <algorithm>
#include <unordered_map>
#include "math/lp/int_solver.h"
#include "math/lp/lar_solver.h"
#include "math/lp/int_cube.h"
@ -81,6 +84,252 @@ namespace lp {
SASSERT(lp_status::OPTIMAL == lra.get_status() || lp_status::FEASIBLE == lra.get_status());
}
// The largest cube test of Bromberger and Weidenbach:
// maximize x_e subject to Ax + a'(x_e/2) <= b, x_e >= 0, where a'_i = ||a_i||_1,
// with the 1-norm taken over the integer variables of the row.
// The solution is the center z of a largest cube contained in the polyhedron.
// If the maximal edge length is at least 1, then the rounding of z is
// an integer solution; otherwise the rounding is checked, and possibly repaired,
// against the original constraints.
lia_move int_cube::find_largest_cube() {
lia.settings().stats().m_lcube_calls++;
TRACE(cube,
for (unsigned j = 0; j < lra.number_of_vars(); ++j)
lia.display_column(tout, j);
tout << lra.constraints();
);
lra.push();
// The edge rows are ephemeral: suppress the add-term callback,
// dioph_eq's reaction to it is not undone by pop().
auto add_term_cb = lra.m_add_term_callback;
lra.m_add_term_callback = nullptr;
unsigned x_e = lra.add_var(UINT_MAX, false); // the edge length of the cube
lra.add_var_bound(x_e, lconstraint_kind::GE, mpq(0));
bool ok = add_cube_edge_rows(x_e);
lra.m_add_term_callback = add_term_cb;
if (!ok) {
lra.pop();
lra.set_status(lp_status::OPTIMAL);
return lia_move::undef;
}
lp_status st = lra.find_feasible_solution();
if (st != lp_status::FEASIBLE && st != lp_status::OPTIMAL) {
TRACE(cube, tout << "cannot find a feasible solution";);
lra.pop();
lra.move_non_basic_columns_to_bounds();
// it can happen that we found an integer solution here
return !lra.r_basis_has_inf_int()? lia_move::sat: lia_move::undef;
}
impq e; // the maximal edge length
st = lra.maximize_term(x_e, e, /*fix_int_cols*/ false);
if (lia.settings().get_cancel_flag()) {
lra.pop();
return lia_move::undef;
}
if (st == lp_status::UNBOUNDED) {
// infinite lattice width: the polyhedron contains cubes of arbitrary edge length
lra.add_var_bound(x_e, lconstraint_kind::GE, mpq(1));
st = lra.find_feasible_solution();
if (st != lp_status::FEASIBLE && st != lp_status::OPTIMAL) {
lra.pop();
return lia_move::undef;
}
lra.pop();
return sat_after_rounding();
}
TRACE(cube, tout << "max edge length = " << e << "\n";);
if (e >= impq(mpq(1))) {
lra.pop();
return sat_after_rounding();
}
// the largest cube is smaller than the unit cube:
// the rounded center is only a candidate
lra.pop();
return round_and_repair();
}
bool int_cube::add_cube_edge_rows(unsigned x_e) {
// snapshot the term columns: add_edge_rows_for_term appends to lra.terms()
svector<unsigned> term_columns;
for (const lar_term* t : lra.terms())
term_columns.push_back(t->j());
for (unsigned j : term_columns)
if (!add_edge_rows_for_term(j, x_e)) {
TRACE(cube, tout << "cannot add the edge rows";);
return false;
}
return true;
}
// i is the column index having the term
bool int_cube::add_edge_rows_for_term(unsigned i, unsigned x_e) {
if (!lra.column_associated_with_row(i))
return true;
const lar_term& t = lra.get_term(i);
impq delta = get_cube_delta_for_term(t);
TRACE(cube, lra.print_term_as_indices(t, tout); tout << ", delta = " << delta << "\n";);
if (is_zero(delta))
return true;
if (!is_zero(delta.y))
// the infinitesimal delta does not scale with x_e: tighten statically,
// it is sound for any edge length
return lra.tighten_term_bounds_by_delta(i, delta);
if (lra.column_has_upper_bound(i)) {
impq u = lra.get_upper_bound(i); // copy: add_term invalidates bound references
vector<std::pair<mpq, unsigned>> coeffs;
coeffs.push_back(std::make_pair(mpq(1), i));
coeffs.push_back(std::make_pair(delta.x, x_e));
unsigned s = lra.add_term(coeffs, UINT_MAX);
lra.add_var_bound(s, is_zero(u.y) ? lconstraint_kind::LE : lconstraint_kind::LT, u.x);
}
if (lra.column_has_lower_bound(i)) {
impq l = lra.get_lower_bound(i); // copy: add_term invalidates bound references
vector<std::pair<mpq, unsigned>> coeffs;
coeffs.push_back(std::make_pair(mpq(1), i));
coeffs.push_back(std::make_pair(-delta.x, x_e));
unsigned s = lra.add_term(coeffs, UINT_MAX);
lra.add_var_bound(s, is_zero(l.y) ? lconstraint_kind::GE : lconstraint_kind::GT, l.x);
}
return true;
}
lia_move int_cube::sat_after_rounding() {
lra.round_to_integer_solution();
lra.set_status(lp_status::FEASIBLE);
SASSERT(lia.settings().get_cancel_flag() || lia.is_feasible());
TRACE(cube, tout << "largest cube success";);
lia.settings().stats().m_lcube_success++;
return lia_move::sat;
}
lia_move int_cube::round_and_repair() {
lra.backup_x(); // remember the cube center
vector<flip_candidate> flips;
for (unsigned j = 0; j < lra.column_count(); ++j) {
if (!lra.column_is_int(j) || lra.column_has_term(j))
continue;
const impq& v = lra.get_column_value(j);
if (v.is_int())
continue;
flip_candidate f;
f.m_j = j;
f.m_lo = floor(v);
flips.push_back(f);
}
lra.round_to_integer_solution();
for (auto& f : flips)
f.m_at_hi = lra.get_column_value(f.m_j).x > f.m_lo;
if (repair_rounded_candidate(flips)) {
lra.set_status(lp_status::FEASIBLE);
SASSERT(lia.settings().get_cancel_flag() || lia.is_feasible());
TRACE(cube, tout << "largest cube success";);
lia.settings().stats().m_lcube_success++;
return lia_move::sat;
}
// return to the cube center: an interior point of the polyhedron
lra.restore_x();
lra.set_status(lp_status::FEASIBLE);
return lia_move::undef;
}
// Checks the rounded center against the original constraints. On failure
// searches the vertices of the lattice cell around the center greedily:
// flip a coordinate between floor and ceiling to maximally decrease the
// total bound violation, within a budget.
bool int_cube::repair_rounded_candidate(vector<flip_candidate>& flips) {
vector<bounded_row> rows;
for (const lar_term* t : lra.terms()) {
unsigned j = t->j();
if (!lra.column_associated_with_row(j))
continue;
if (!lra.column_has_upper_bound(j) && !lra.column_has_lower_bound(j))
continue;
bounded_row r;
r.m_j = j;
r.m_val = t->apply(lra.r_x());
rows.push_back(r);
}
auto row_violation = [&](unsigned ri, const impq& v) {
impq w;
unsigned j = rows[ri].m_j;
if (lra.column_has_upper_bound(j) && v > lra.get_upper_bound(j))
w += v - lra.get_upper_bound(j);
if (lra.column_has_lower_bound(j) && v < lra.get_lower_bound(j))
w += lra.get_lower_bound(j) - v;
return w;
};
impq violation;
for (unsigned ri = 0; ri < rows.size(); ++ri)
violation += row_violation(ri, rows[ri].m_val);
if (is_zero(violation))
return true; // the rounded center fits as it is
if (flips.empty())
return false;
std::unordered_map<unsigned, unsigned> flip_of_var;
for (unsigned fi = 0; fi < flips.size(); ++fi)
flip_of_var[flips[fi].m_j] = fi;
// occurrences of the flip candidates in the bounded rows
vector<vector<std::pair<unsigned, mpq>>> occs;
occs.resize(flips.size());
for (unsigned ri = 0; ri < rows.size(); ++ri) {
const lar_term& t = lra.get_term(rows[ri].m_j);
for (lar_term::ival p : t) {
auto it = flip_of_var.find(p.j());
if (it != flip_of_var.end())
occs[it->second].push_back(std::make_pair(ri, p.coeff()));
}
}
unsigned budget = std::min(2 * flips.size(), lia.settings().lcube_flips());
bool flipped = false;
while (!is_zero(violation) && budget-- > 0) {
unsigned best_fi = UINT_MAX;
impq best_gain;
for (unsigned fi = 0; fi < flips.size(); ++fi) {
if (occs[fi].empty())
continue;
mpq step = flips[fi].m_at_hi ? mpq(-1) : mpq(1);
impq gain;
for (const auto& o : occs[fi]) {
const impq& v = rows[o.first].m_val;
gain += row_violation(o.first, v + impq(step * o.second)) - row_violation(o.first, v);
}
if (gain < best_gain) {
best_gain = gain;
best_fi = fi;
}
}
if (best_fi == UINT_MAX)
return false; // no flip decreases the violation
mpq step = flips[best_fi].m_at_hi ? mpq(-1) : mpq(1);
for (const auto& o : occs[best_fi])
rows[o.first].m_val += impq(step * o.second);
flips[best_fi].m_at_hi = !flips[best_fi].m_at_hi;
violation += best_gain;
flipped = true;
TRACE(cube, tout << "flipped column " << flips[best_fi].m_j << ", violation = " << violation << "\n";);
}
if (!is_zero(violation))
return false;
// apply the repaired candidate
for (const auto& f : flips)
lra.set_column_value(f.m_j, impq(f.m_at_hi ? f.m_lo + 1 : f.m_lo));
for (const lar_term* t : lra.terms()) {
unsigned j = t->j();
if (!lra.column_associated_with_row(j))
continue;
lra.set_column_value(j, t->apply(lra.r_x()));
}
if (flipped)
lia.settings().stats().m_lcube_flip_success++;
return true;
}
impq int_cube::get_cube_delta_for_term(const lar_term& t) const {
if (t.size() == 2) {
bool seen_minus = false;