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An Approximation Algorithm for MAX-2-SAT with Cardinality Constraint

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2832))

Abstract

We present a randomized polynomial-time approximation algorithm for the MAX-2-SAT problem in the presence of an extra cardinality constraint which has an asymptotic worst-case ratio of 0.75. This improves upon the previously best approximation ratio 0.6603 which was achieved by Bläser and Manthey [BM]. Our approach is to use a solution obtained from a linear program which we first modify greedily and to which we then apply randomized rounding. The greedy phase guarantees that the errors introduced by the randomized rounding are not too large, an approach that might be interesting for other applications as well.

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© 2003 Springer-Verlag Berlin Heidelberg

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Hofmeister, T. (2003). An Approximation Algorithm for MAX-2-SAT with Cardinality Constraint. In: Di Battista, G., Zwick, U. (eds) Algorithms - ESA 2003. ESA 2003. Lecture Notes in Computer Science, vol 2832. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39658-1_29

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  • DOI: https://doi.org/10.1007/978-3-540-39658-1_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20064-2

  • Online ISBN: 978-3-540-39658-1

  • eBook Packages: Springer Book Archive

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