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How Good Can a Resolution Based SAT-solver Be?

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Theory and Applications of Satisfiability Testing (SAT 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2919))

Abstract

We introduce a parameterized class M(p) of unsatisfiable formulas that specify equivalence checking of Boolean circuits. If the parameter p is fixed, a formula of M(p) can be solved in general resolution in a linear number of resolutions. On the other hand, even though there is a polynomial time deterministic algorithm that solves formulas from M(p), the order of the polynomial is a monotone increasing function of parameter p. We give reasons why resolution based SAT-algorithms should have poor performance on this very “easy” class of formulas and provide experimental evidence that this is indeed the case.

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Goldberg, E., Novikov, Y. (2004). How Good Can a Resolution Based SAT-solver Be?. In: Giunchiglia, E., Tacchella, A. (eds) Theory and Applications of Satisfiability Testing. SAT 2003. Lecture Notes in Computer Science, vol 2919. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24605-3_4

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  • DOI: https://doi.org/10.1007/978-3-540-24605-3_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20851-8

  • Online ISBN: 978-3-540-24605-3

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