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add option to control epsilon #7791

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#7791 reports on using model values during lex optimization that break soft constraints.
This is an artifact of using optimization where optimal values can be arbitrarily close to a rational.
In a way it is by design, but we give the user now an option to control the starting point for epsilon when converting infinitesimals into rationals.
This commit is contained in:
Nikolaj Bjorner 2025-08-17 16:47:23 -07:00
parent d8bf0e047f
commit c75b8ec752
7 changed files with 14 additions and 4 deletions
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6
src/math/lp/lar_solver.cpp
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@ -1523,7 +1523,7 @@ namespace lp {
if (!m_imp->m_columns_with_changed_bounds.empty())
return false;
m_imp->m_delta = get_core_solver().find_delta_for_strict_bounds(mpq(1));
m_imp->m_delta = get_core_solver().find_delta_for_strict_bounds(m_imp->m_settings.m_epsilon);
unsigned j;
unsigned n = get_core_solver().r_x().size();
do {
@ -1545,7 +1545,7 @@ namespace lp {
}
void lar_solver::get_model_do_not_care_about_diff_vars(std::unordered_map<lpvar, mpq>& variable_values) const {
mpq delta = get_core_solver().find_delta_for_strict_bounds(mpq(1));
mpq delta = get_core_solver().find_delta_for_strict_bounds(m_imp->m_settings.m_epsilon);
for (unsigned i = 0; i < get_core_solver().r_x().size(); i++) {
const impq& rp = get_core_solver().r_x(i);
variable_values[i] = rp.x + delta * rp.y;
@ -1569,7 +1569,7 @@ namespace lp {
}
if (y_is_zero)
return;
mpq delta = get_core_solver().find_delta_for_strict_bounds(mpq(1));
mpq delta = get_core_solver().find_delta_for_strict_bounds(m_imp->m_settings.m_epsilon);
for (unsigned j = 0; j < number_of_vars(); j++) {
auto& v = get_core_solver().r_x(j);
if (!v.y.is_zero()) {