Titlebook: SAT 2005; Satisfiability Resea Enrico Giunchiglia,Toby Walsh Conference proceedings 2006 Springer Science+Business Media B.V. 2006 Automat.

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Symbolic Techniques in Satisfiability Solving,ce of propositional satisfiability as an existentially quantified proposition formula. Satisfiability solving then amounts to quantifier elimination; once all quantifiers have been eliminated, we are left with either . or .. Our goal in this work is to study the effectiveness of symbolic quantifier

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Clause Weighting Local Search for SAT, the recent history of clause weighting as evidence, we suggest that the best current algorithms have each discovered the same basic framework, that is, to increase weights on false clauses in local minima and then to periodically normalize these weights using a decay mechanism. Within this framewor

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Solving Non-Boolean Satisfiability Problems with Stochastic Local Search: A Comparison of Encodingsms. Many of the problems on which these procedures have been effective are non-Boolean in that they are most naturally formulated in terms of variables with domain sizes greater than two. Approaches to solving non-Boolean satisfiability problems fall into two categories. In the direct approach, the

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Regular Random ,-SAT: Properties of Balanced Formulas,regular random and .-SAT). Our experimental results show that such regular random .-SAT instances are much harder than the usual uniform random .-SAT problems. This is in agreement with other results that show that more balanced instances of random combinatorial problems are often much more difficul

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,SAT: Tight Integration of SAT and Mathematical Decision Procedures,l-checking, circuit testing, propositional planning) by encoding into SAT. However, a purely Boolean representation is not expressive enough for many other real-world applications, including the verification of timed and hybrid systems, of proof obligations in software, and of circuit design at RTL