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Algebraic Simplification Techniques for Propositional Satisfiability

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Principles and Practice of Constraint Programming – CP 2000 (CP 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1894))

Abstract

The ability to reduce either the number of variables or clauses in instances of the Satisfiability problem (SAT) impacts the expected computational effort of solving a given instance. This ability can actually be essential for specific and hard classes of instances. The objective of this paper is to propose new simplification techniques for Conjunctive Normal Form (CNF) formulas. Experimental results, obtained on representative problem instances, indicate that large simplifications can be observed.

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References

  1. J. F. Groote and J. P. Warners. The propositional formula checker heerhugo. Technical Report SEN-R9905, CWI, January 1999.

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© 2000 Springer-Verlag Berlin Heidelberg

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Marques-Silva, J. (2000). Algebraic Simplification Techniques for Propositional Satisfiability. In: Dechter, R. (eds) Principles and Practice of Constraint Programming – CP 2000. CP 2000. Lecture Notes in Computer Science, vol 1894. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45349-0_45

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  • DOI: https://doi.org/10.1007/3-540-45349-0_45

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41053-9

  • Online ISBN: 978-3-540-45349-9

  • eBook Packages: Springer Book Archive

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