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merge LRA
Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
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120 changed files with 23069 additions and 15 deletions
333
src/util/lp/bound_analyzer_on_row.h
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333
src/util/lp/bound_analyzer_on_row.h
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/*
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Copyright (c) 2017 Microsoft Corporation
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Author: Lev Nachmanson
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*/
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#pragma once
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#include "util/vector.h"
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#include "util/lp/linear_combination_iterator.h"
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#include "implied_bound.h"
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#include "test_bound_analyzer.h"
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#include <functional>
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#include "util/lp/bound_propagator.h"
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// We have an equality : sum by j of row[j]*x[j] = rs
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// We try to pin a var by pushing the total by using the variable bounds
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// In a loop we drive the partial sum down, denoting the variables of this process by _u.
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// In the same loop trying to pin variables by pushing the partial sum up, denoting the variable related to it by _l
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namespace lean {
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class bound_analyzer_on_row {
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linear_combination_iterator<mpq> & m_it;
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unsigned m_row_or_term_index;
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int m_column_of_u = -1; // index of an unlimited from above monoid
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// -1 means that such a value is not found, -2 means that at least two of such monoids were found
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int m_column_of_l = -1; // index of an unlimited from below monoid
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impq m_rs;
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bound_propagator & m_bp;
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public :
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// constructor
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bound_analyzer_on_row(
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linear_combination_iterator<mpq> &it,
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const numeric_pair<mpq>& rs,
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unsigned row_or_term_index,
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bound_propagator & bp
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)
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:
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m_it(it),
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m_row_or_term_index(row_or_term_index),
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m_rs(rs),
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m_bp(bp)
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{}
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unsigned j;
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void analyze() {
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mpq a; unsigned j;
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while (((m_column_of_l != -2) || (m_column_of_u != -2)) && m_it.next(a, j))
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analyze_bound_on_var_on_coeff(j, a);
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if (m_column_of_u >= 0)
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limit_monoid_u_from_below();
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else if (m_column_of_u == -1)
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limit_all_monoids_from_below();
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if (m_column_of_l >= 0)
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limit_monoid_l_from_above();
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else if (m_column_of_l == -1)
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limit_all_monoids_from_above();
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}
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bool bound_is_available(unsigned j, bool low_bound) {
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return (low_bound && low_bound_is_available(j)) ||
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(!low_bound && upper_bound_is_available(j));
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}
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bool upper_bound_is_available(unsigned j) const {
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switch (m_bp.get_column_type(j))
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{
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case column_type::fixed:
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case column_type::boxed:
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case column_type::upper_bound:
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return true;
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default:
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return false;
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}
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}
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bool low_bound_is_available(unsigned j) const {
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switch (m_bp.get_column_type(j))
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{
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case column_type::fixed:
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case column_type::boxed:
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case column_type::low_bound:
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return true;
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default:
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return false;
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}
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}
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const impq & ub(unsigned j) const {
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lean_assert(upper_bound_is_available(j));
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return m_bp.get_upper_bound(j);
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}
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const impq & lb(unsigned j) const {
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lean_assert(low_bound_is_available(j));
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return m_bp.get_low_bound(j);
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}
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const mpq & monoid_max_no_mult(bool a_is_pos, unsigned j, bool & strict) const {
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if (a_is_pos) {
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strict = !is_zero(ub(j).y);
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return ub(j).x;
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}
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strict = !is_zero(lb(j).y);
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return lb(j).x;
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}
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mpq monoid_max(const mpq & a, unsigned j) const {
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if (is_pos(a)) {
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return a * ub(j).x;
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}
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return a * lb(j).x;
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}
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mpq monoid_max(const mpq & a, unsigned j, bool & strict) const {
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if (is_pos(a)) {
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strict = !is_zero(ub(j).y);
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return a * ub(j).x;
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}
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strict = !is_zero(lb(j).y);
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return a * lb(j).x;
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}
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const mpq & monoid_min_no_mult(bool a_is_pos, unsigned j, bool & strict) const {
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if (!a_is_pos) {
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strict = !is_zero(ub(j).y);
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return ub(j).x;
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}
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strict = !is_zero(lb(j).y);
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return lb(j).x;
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}
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mpq monoid_min(const mpq & a, unsigned j, bool& strict) const {
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if (is_neg(a)) {
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strict = !is_zero(ub(j).y);
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return a * ub(j).x;
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}
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strict = !is_zero(lb(j).y);
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return a * lb(j).x;
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}
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mpq monoid_min(const mpq & a, unsigned j) const {
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if (is_neg(a)) {
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return a * ub(j).x;
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}
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return a * lb(j).x;
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}
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void limit_all_monoids_from_above() {
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int strict = 0;
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mpq total;
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lean_assert(is_zero(total));
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m_it.reset();
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mpq a; unsigned j;
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while (m_it.next(a, j)) {
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bool str;
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total -= monoid_min(a, j, str);
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if (str)
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strict++;
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}
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m_it.reset();
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while (m_it.next(a, j)) {
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bool str;
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bool a_is_pos = is_pos(a);
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mpq bound = total / a + monoid_min_no_mult(a_is_pos, j, str);
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if (a_is_pos) {
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limit_j(j, bound, true, false, strict - static_cast<int>(str) > 0);
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}
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else {
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limit_j(j, bound, false, true, strict - static_cast<int>(str) > 0);
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}
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}
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}
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void limit_all_monoids_from_below() {
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int strict = 0;
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mpq total;
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lean_assert(is_zero(total));
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m_it.reset();
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mpq a; unsigned j;
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while (m_it.next(a, j)) {
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bool str;
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total -= monoid_max(a, j, str);
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if (str)
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strict++;
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}
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m_it.reset();
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while (m_it.next(a, j)) {
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bool str;
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bool a_is_pos = is_pos(a);
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mpq bound = total / a + monoid_max_no_mult(a_is_pos, j, str);
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bool astrict = strict - static_cast<int>(str) > 0;
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if (a_is_pos) {
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limit_j(j, bound, true, true, astrict);
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}
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else {
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limit_j(j, bound, false, false, astrict);
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}
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}
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}
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void limit_monoid_u_from_below() {
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// we are going to limit from below the monoid m_column_of_u,
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// every other monoid is impossible to limit from below
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mpq u_coeff, a;
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unsigned j;
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mpq bound = -m_rs.x;
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m_it.reset();
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bool strict = false;
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while (m_it.next(a, j)) {
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if (j == static_cast<unsigned>(m_column_of_u)) {
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u_coeff = a;
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continue;
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}
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bool str;
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bound -= monoid_max(a, j, str);
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if (str)
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strict = true;
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}
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bound /= u_coeff;
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if (numeric_traits<impq>::is_pos(u_coeff)) {
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limit_j(m_column_of_u, bound, true, true, strict);
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} else {
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limit_j(m_column_of_u, bound, false, false, strict);
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}
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}
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void limit_monoid_l_from_above() {
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// we are going to limit from above the monoid m_column_of_l,
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// every other monoid is impossible to limit from above
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mpq l_coeff, a;
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unsigned j;
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mpq bound = -m_rs.x;
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bool strict = false;
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m_it.reset();
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while (m_it.next(a, j)) {
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if (j == static_cast<unsigned>(m_column_of_l)) {
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l_coeff = a;
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continue;
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}
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bool str;
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bound -= monoid_min(a, j, str);
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if (str)
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strict = true;
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}
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bound /= l_coeff;
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if (is_pos(l_coeff)) {
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limit_j(m_column_of_l, bound, true, false, strict);
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} else {
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limit_j(m_column_of_l, bound, false, true, strict);
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}
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}
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// // it is the coefficent before the bounded column
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// void provide_evidence(bool coeff_is_pos) {
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// /*
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// auto & be = m_ibounds.back();
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// bool low_bound = be.m_low_bound;
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// if (!coeff_is_pos)
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// low_bound = !low_bound;
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// auto it = m_it.clone();
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// mpq a; unsigned j;
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// while (it->next(a, j)) {
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// if (be.m_j == j) continue;
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// lean_assert(bound_is_available(j, is_neg(a) ? low_bound : !low_bound));
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// be.m_vector_of_bound_signatures.emplace_back(a, j, numeric_traits<impq>::
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// is_neg(a)? low_bound: !low_bound);
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// }
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// delete it;
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// */
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// }
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void limit_j(unsigned j, const mpq& u, bool coeff_before_j_is_pos, bool is_low_bound, bool strict){
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m_bp.try_add_bound(u, j, is_low_bound, coeff_before_j_is_pos, m_row_or_term_index, strict);
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}
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void advance_u(unsigned j) {
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if (m_column_of_u == -1)
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m_column_of_u = j;
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else
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m_column_of_u = -2;
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}
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void advance_l(unsigned j) {
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if (m_column_of_l == -1)
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m_column_of_l = j;
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else
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m_column_of_l = -2;
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}
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void analyze_bound_on_var_on_coeff(int j, const mpq &a) {
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switch (m_bp.get_column_type(j)) {
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case column_type::low_bound:
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if (numeric_traits<mpq>::is_pos(a))
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advance_u(j);
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else
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advance_l(j);
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break;
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case column_type::upper_bound:
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if(numeric_traits<mpq>::is_neg(a))
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advance_u(j);
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else
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advance_l(j);
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break;
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case column_type::free_column:
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advance_u(j);
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advance_l(j);
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break;
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default:
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break;
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}
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}
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static void analyze_row(linear_combination_iterator<mpq> &it,
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const numeric_pair<mpq>& rs,
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unsigned row_or_term_index,
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bound_propagator & bp
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) {
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bound_analyzer_on_row a(it, rs, row_or_term_index, bp);
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a.analyze();
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}
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};
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}
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