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lp: add best-of-N efficacy-based Gomory row selection

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Add lp.gomory_efficacy_select (default false) and lp.gomory_candidate_rows
(default 3). When enabled, Gomory cut rows are no longer chosen by how close
the basic variable is to an integer. Instead, gomory_candidate_rows
integer-infeasible GMI-clean rows are sampled uniformly at random, a cut is
built for each, and the most efficacious cuts whose efficacy
(k - t(x*))/||t||_2 is at least gomory_cut_efficacy_threshold are added (up to
num_cuts of them, best first).

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
This commit is contained in:
Lev Nachmanson 2026-06-25 15:24:23 -07:00
parent 8d1dde407e
commit 11e95dafeb
5 changed files with 81 additions and 14 deletions
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2
src/math/lp/lp_settings.cpp
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@ -50,6 +50,8 @@ void lp::lp_settings::updt_params(params_ref const& _p) {
m_lcube_flips = lp_p.lcube_flips();
m_gomory_cut_efficacy_filter = lp_p.gomory_cut_efficacy_filter();
m_gomory_cut_efficacy_threshold = lp_p.gomory_cut_efficacy_threshold();
m_gomory_efficacy_select = lp_p.gomory_efficacy_select();
m_gomory_candidate_rows = lp_p.gomory_candidate_rows();
unsigned hammer_period = lp_p.int_hammer_period();
SASSERT(hammer_period != 0);
m_int_find_cube_period = hammer_period;