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try the lemma scheme

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This commit is contained in:
Lev Nachmanson 2023-09-21 12:18:21 -07:00
parent e31cecf5db
commit f423642e9b
5 changed files with 72 additions and 123 deletions
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182
src/math/lp/nla_core.cpp
View file

@ -1844,7 +1844,7 @@ bool core::is_linear(const svector<lpvar>& m, lpvar& zero_var, lpvar& non_fixed)
zero_var = non_fixed = null_lpvar;
unsigned n_of_non_fixed = 0;
for (lpvar v : m) {
if (!this->var_is_fixed(v)) {
if (!var_is_fixed(v)) {
n_of_non_fixed++;
non_fixed = v;
continue;
@ -1920,129 +1920,75 @@ bool core::lower_bound_is_available(unsigned j) const
void core::propagate_monic_with_non_fixed(lpvar monic_var, const svector<lpvar>& vars, lpvar non_fixed, const rational& k)
{
lp::impq bound_value;
bool is_strict;
auto& lps = lra;
new_lemma lemma(*this, "propagate monic with non fixed");
// using += to not assert thath the inequality does not hold
lemma += ineq(term(rational(1), monic_var, -k, non_fixed), llc::EQ, 0);
lp::explanation exp;
for (auto v : m_emons[monic_var].vars()) {
if (v == non_fixed) continue;
u_dependency* dep = lra.get_column_lower_bound_witness(v);
for (auto ci : lra.flatten(dep)) {
exp.push_back(ci);
}
dep = lra.get_column_upper_bound_witness(v);
for (auto ci : lra.flatten(dep)) {
exp.push_back(ci);
}
}
lemma &= exp;
}
if (lower_bound_is_available(non_fixed)) {
bound_value = lra.column_lower_bound(non_fixed);
is_strict = !bound_value.y.is_zero();
auto lambda = [vars, non_fixed, &lps]() {
u_dependency* dep = lps.get_column_lower_bound_witness(non_fixed);
void core::propagate_monic_with_all_fixed(lpvar monic_var, const svector<lpvar>& vars, const rational& k)
{
auto* lps = &lra;
auto lambda = [vars, lps]() { return lps->get_bound_constraint_witnesses_for_columns(vars); };
add_lower_bound_monic(monic_var, k, false, lambda);
add_upper_bound_monic(monic_var, k, false, lambda);
}
void core::add_bounds_for_zero_var(lpvar monic_var, lpvar zero_var)
{
auto* lps = &lra;
auto lambda = [zero_var, lps]() {
return lps->get_bound_constraint_witnesses_for_column(zero_var);
};
TRACE("add_bound", lra.print_column_info(zero_var, tout) << std::endl;);
add_lower_bound_monic(monic_var, lp::mpq(0), false, lambda);
add_upper_bound_monic(monic_var, lp::mpq(0), false, lambda);
}
void core::calculate_implied_bounds_for_monic(lp::lpvar monic_var)
{
lpvar non_fixed, zero_var;
const auto& vars = m_emons[monic_var].vars();
if (!is_linear(vars, zero_var, non_fixed))
return;
if (zero_var != null_lpvar)
add_bounds_for_zero_var(monic_var, zero_var);
else {
rational k = rational(1);
for (auto v : vars)
if (v != non_fixed)
dep = lps.join_deps(dep, lps.get_bound_constraint_witnesses_for_column(v));
return dep;
};
if (k.is_pos())
add_lower_bound_monic(monic_var, k * bound_value.x, is_strict, lambda);
else
add_upper_bound_monic(monic_var, k * bound_value.x, is_strict, lambda);
}
if (upper_bound_is_available(non_fixed)) {
bound_value = lra.column_upper_bound(non_fixed);
is_strict = !bound_value.y.is_zero();
auto lambda = [vars, non_fixed, &lps]() {
u_dependency* dep = lps.get_column_upper_bound_witness(non_fixed);
for (auto v : vars)
if (v != non_fixed)
dep = lps.join_deps(dep, lps.get_bound_constraint_witnesses_for_column(v));
return dep;
};
if (k.is_neg())
add_lower_bound_monic(monic_var, k * bound_value.x, is_strict, lambda);
else
add_upper_bound_monic(monic_var, k * bound_value.x, is_strict, lambda);
}
if (lower_bound_is_available(monic_var)) {
auto lambda = [vars, monic_var, non_fixed, &lps]() {
u_dependency* dep = lps.get_column_lower_bound_witness(monic_var);
for (auto v : vars) {
if (v != non_fixed) {
dep = lps.join_deps(dep, lps.get_bound_constraint_witnesses_for_column(v));
k *= val(v);
if (k.is_big()) return;
}
}
return dep;
};
bound_value = lra.column_lower_bound(monic_var);
is_strict = !bound_value.y.is_zero();
if (k.is_pos())
add_lower_bound_monic(non_fixed, bound_value.x / k, is_strict, lambda);
else
add_upper_bound_monic(non_fixed, bound_value.x / k, is_strict, lambda);
if (non_fixed != null_lpvar)
propagate_monic_with_non_fixed(monic_var, vars, non_fixed, k);
else // all variables are fixed
propagate_monic_with_all_fixed(monic_var, vars, k);
}
}
if (upper_bound_is_available(monic_var)) {
bound_value = lra.column_upper_bound(monic_var);
is_strict = !bound_value.y.is_zero();
auto lambda = [vars, monic_var, non_fixed, &lps]() {
u_dependency* dep = lps.get_column_upper_bound_witness(monic_var);
for (auto v : vars) {
if (v != non_fixed) {
dep = lps.join_deps(dep, lps.get_bound_constraint_witnesses_for_column(v));
}
}
return dep;
};
if (k.is_neg())
add_lower_bound_monic(non_fixed, bound_value.x / k, is_strict, lambda);
else
add_upper_bound_monic(non_fixed, bound_value.x / k, is_strict, lambda);
void core::init_bound_propagation(vector<lemma> & l_vec)
{
m_implied_bounds.clear();
m_improved_lower_bounds.reset();
m_improved_upper_bounds.reset();
m_column_types = &lra.get_column_types();
m_lemma_vec = &l_vec;
m_lemma_vec->clear();
}
}
void core::propagate_monic_with_all_fixed(lpvar monic_var, const svector<lpvar>& vars, const rational& k)
{
auto* lps = &lra;
auto lambda = [vars, lps]() { return lps->get_bound_constraint_witnesses_for_columns(vars); };
add_lower_bound_monic(monic_var, k, false, lambda);
add_upper_bound_monic(monic_var, k, false, lambda);
}
void core::add_bounds_for_zero_var(lpvar monic_var, lpvar zero_var)
{
auto* lps = &lra;
auto lambda = [zero_var, lps]() {
return lps->get_bound_constraint_witnesses_for_column(zero_var);
};
TRACE("add_bound", lra.print_column_info(zero_var, tout) << std::endl;);
add_lower_bound_monic(monic_var, lp::mpq(0), false, lambda);
add_upper_bound_monic(monic_var, lp::mpq(0), false, lambda);
}
void core::calculate_implied_bounds_for_monic(lp::lpvar monic_var)
{
lpvar non_fixed, zero_var;
const auto& vars = m_emons[monic_var].vars();
if (!is_linear(vars, zero_var, non_fixed))
return;
if (zero_var != null_lpvar)
add_bounds_for_zero_var(monic_var, zero_var);
else {
rational k = rational(1);
for (auto v : vars)
if (v != non_fixed) {
k *= val(v);
if (k.is_big()) return;
}
if (non_fixed != null_lpvar)
propagate_monic_with_non_fixed(monic_var, vars, non_fixed, k);
else // all variables are fixed
propagate_monic_with_all_fixed(monic_var, vars, k);
}
}
void core::init_bound_propagation()
{
this->m_implied_bounds.clear();
this->m_improved_lower_bounds.reset();
this->m_improved_upper_bounds.reset();
this->m_column_types = &lra.get_column_types();
}
} // namespace nla

2
src/math/lp/nla_core.h
View file

@ -451,7 +451,7 @@ private:
void save_tableau();
bool integrality_holds();
void calculate_implied_bounds_for_monic(lp::lpvar v);
void init_bound_propagation();
void init_bound_propagation(vector<lemma>&);
}; // end of core
struct pp_mon {

4
src/math/lp/nla_solver.cpp
View file

@ -100,8 +100,8 @@ namespace nla {
m_core->check_bounded_divisions(lemmas);
}
void solver::init_bound_propagation() {
m_core->init_bound_propagation();
void solver::init_bound_propagation(vector<lemma>& lemmas) {
m_core->init_bound_propagation(lemmas);
}
}

2
src/math/lp/nla_solver.h
View file

@ -49,6 +49,6 @@ namespace nla {
nlsat::anum const& am_value(lp::var_index v) const;
void collect_statistics(::statistics & st);
void calculate_implied_bounds_for_monic(lp::lpvar v);
void init_bound_propagation();
void init_bound_propagation(vector<lemma>&);
};
}

5
src/smt/theory_lra.cpp
View file

@ -2199,11 +2199,14 @@ public:
}
void propagate_bounds_for_touched_monomials() {
m_nla->init_bound_propagation();
m_nla->init_bound_propagation(m_nla_lemma_vector);
for (unsigned v : m_nla->monics_with_changed_bounds()) {
m_nla->calculate_implied_bounds_for_monic(v);
}
m_nla->reset_monics_with_changed_bounds();
for (const auto & l:m_nla_lemma_vector) {
false_case_of_check_nla(l);
}
}
void propagate_bounds_with_nlp() {