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Improved Approximation Algorithms for Max-2SAT with Cardinality Constraint

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Algorithms and Computation (ISAAC 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2518))

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Abstract

The optimization problem Max-2SAT-CC is Max-2SAT with the additional cardinality constraint that the value one may be assigned to at most K variables. We present an approximation algorithm with polynomial running time for Max-2SAT-CC. This algorithm achieves, for any ε > 0, approximation ratio \( \frac{{6 + 3 \cdot e}} {{16 + 2 \cdot e}} - \varepsilon \approx 0 \cdot 6603 \). Furthermore, we present a greedy algorithm with running time O(N log N) and approximation ratio 1/2. The latter algorithm even works for clauses of arbitrary length.

Birth name: Bodo Siebert. Supported by DFG research grant Re 672/3.

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Bläser, M., Manthey, B. (2002). Improved Approximation Algorithms for Max-2SAT with Cardinality Constraint. In: Bose, P., Morin, P. (eds) Algorithms and Computation. ISAAC 2002. Lecture Notes in Computer Science, vol 2518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36136-7_17

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  • DOI: https://doi.org/10.1007/3-540-36136-7_17

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00142-3

  • Online ISBN: 978-3-540-36136-7

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