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Complexity Results for Linear XSAT-Problems

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Theory and Applications of Satisfiability Testing – SAT 2010 (SAT 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6175))

Abstract

We investigate the computational complexity of the exact satisfiability problem (XSAT) restricted to certain subclasses of linear CNF formulas. These classes are defined through restricting the number of occurrences of variables and are therefore interesting because the complexity status does not follow from Schaefer’s theorem [14,7]. Specifically we prove that XSAT remains NP-complete for linear formulas which are monotone and all variables occur exactly l times. We also present some complexity results for exact linear formulas left open in [9]. Concretely, we show that XSAT for this class is NP-complete, in contrast to SAT or NAE-SAT. This can also be established when clauses have length at least k, for fixed integer k ≥ 3. However, the XSAT-complexity for exact linear formulas with clause length exactly k remains open, but we provide its polynomial-time behaviour at least for every positive integer k ≤ 6.

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Porschen, S., Schmidt, T., Speckenmeyer, E. (2010). Complexity Results for Linear XSAT-Problems . In: Strichman, O., Szeider, S. (eds) Theory and Applications of Satisfiability Testing – SAT 2010. SAT 2010. Lecture Notes in Computer Science, vol 6175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14186-7_21

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  • DOI: https://doi.org/10.1007/978-3-642-14186-7_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14185-0

  • Online ISBN: 978-3-642-14186-7

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