A new PQE algorithm learns D-sequents for reuse and backtracks upon proving a single clause redundant, outperforming its predecessor experimentally.
Removal of Quantifiers by Elimination of Boundary Points
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abstract
We consider the problem of elimination of existential quantifiers from a Boolean CNF formula. Our approach is based on the following observation. One can get rid of dependency on a set of variables of a quantified CNF formula F by adding resolvent clauses of F eliminating boundary points. This approach is similar to the method of quantifier elimination described in [9]. The difference of the method described in the present paper is twofold: {\bullet} branching is performed only on quantified variables, {\bullet} an explicit search for boundary points is performed by calls to a SAT-solver Although we published the paper [9] before this one, chrono- logically the method of the present report was developed first. Preliminary presentations of this method were made in [10], [11]. We postponed a publication of this method due to preparation of a patent application [8].
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2019 1verdicts
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Partial Quantifier Elimination With Learning
A new PQE algorithm learns D-sequents for reuse and backtracks upon proving a single clause redundant, outperforming its predecessor experimentally.