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prepare for equality propagation from Grobner basis

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Attempt to remedy performance regressions from the new solver core for NLA. It misses easy lemmas, presumably due to weaker bounds information.
This commit is contained in:
Nikolaj Bjorner 2022-06-14 09:50:53 -07:00
parent 8e2027107d
commit 3d00d1d56b
3 changed files with 2009 additions and 1978 deletions
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3
src/math/dd/dd_pdd.h
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@ -340,7 +340,8 @@ namespace dd {
bool is_one() const { return m.is_one(root); }
bool is_zero() const { return m.is_zero(root); }
bool is_linear() const { return m.is_linear(root); }
bool is_unary() const { return !is_val() && lo().is_zero() && hi().is_val(); }
bool is_unary() const { return !is_val() && lo().is_zero() && hi().is_val(); }
bool is_offset() const { return !is_val() && lo().is_val() && hi().is_one(); }
bool is_binary() const { return m.is_binary(root); }
bool is_monomial() const { return m.is_monomial(root); }
bool is_non_zero() const { return m.is_non_zero(root); }

3
src/math/grobner/pdd_solver.cpp
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@ -160,6 +160,9 @@ namespace dd {
}
while (simplified && !eq.poly().is_val());
if (eq.poly().is_unary() && eq.poly().hi().val() < 0)
eq = -eq.poly();
TRACE("dd.solver", display(tout << "simplification result: ", eq););
}

3981
src/math/lp/nla_core.cpp
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