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Minimal Unsatisfiable Sets: Classification and Bounds

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Advances in Computer Science - ASIAN 2004. Higher-Level Decision Making (ASIAN 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3321))

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Abstract

Proving the unsatisfiability of propositional Boolean formulas has applications in a wide range of fields. Minimal Unsatisfiable Sets (MUS) are signatures of the property of unsatisfiability in formulas and our understanding of these signatures can be very helpful in answering various algorithmic and structural questions relating to unsatisfiability. In this paper, we explore some combinatorial properties of MUS and use them to devise a classification scheme for MUS. We also derive bounds on the sizes of MUS in Horn, 2-SAT and 3-SAT formulas.

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Dasgupta, S., Chandru, V. (2004). Minimal Unsatisfiable Sets: Classification and Bounds. In: Maher, M.J. (eds) Advances in Computer Science - ASIAN 2004. Higher-Level Decision Making. ASIAN 2004. Lecture Notes in Computer Science, vol 3321. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30502-6_24

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  • DOI: https://doi.org/10.1007/978-3-540-30502-6_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24087-7

  • Online ISBN: 978-3-540-30502-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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