Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
162 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Partial Quantifier Elimination By Certificate Clauses (2003.09667v11)

Published 21 Mar 2020 in cs.LO

Abstract: In this report, we study partial quantifier elimination (PQE) for propositional CNF formulas. PQE is a generalization of quantifier elimination where one can limit the set of clauses taken out of the scope of quantifiers to a small subset of target clauses. The appeal of PQE is twofold. First, PQE can be dramatically simpler than full quantifier elimination. Second, PQE provides a language for performing incremental computations. Many verification problems (e.g. equivalence checking and model checking) are inherently incremental and so can be solved in terms of PQE. Our approach is based on deriving clauses depending only on unquantified variables that make the target clauses $\mathit{redundant}$. Proving redundancy of a target clause is done by construction of a "certificate" clause implying the former. We describe a PQE algorithm called $\mathit{START}$ that employs the approach above. To evaluate $\mathit{START}$, we apply it to invariant generation for a sequential circuit $N$. The goal of invariant generation is to find an $\mathit{unwanted}$ invariant of $N$ proving unreachability of a state that is supposed to be reachable. If $N$ has an unwanted invariant, it is buggy. Our experiments with FIFO buffers and HWMCC-13 benchmarks suggest that $\mathit{START}$ can be used for detecting bugs that are hard to find by existing methods.

Citations (5)

Summary

We haven't generated a summary for this paper yet.