Recognizing more unsatisfiable random 3-SAT instances Efficiently

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Abstract

It is known that random k-SAT instances with at least dn clauses where d = dk is a suitable constant are unsatisfiable (with high probability). This paper deals with the question to certify the unsatisfiability of a random 3-SAT instance in polynomial time. A backtracking based algorithm of Beame et al. works for random 3-SAT instances with at least n2/log n clauses. This is the best result known by now. We improve the n2/log n bound attained by Beame et al. to n3/2ε for any ε > 0. Our approach extends the spectral approach introduced to the study of random k-SAT instances for k ≥ 4 in previous work of the second author. © 2011 Springer-Verlag Berlin Heidelberg.

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Friedman, J., & Goerdt, A. (2001). Recognizing more unsatisfiable random 3-SAT instances Efficiently. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2076 LNCS, pp. 310–321). Springer Verlag. https://doi.org/10.1007/3-540-48224-5_26

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