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Improved Approximation Algorithms for Max-2SAT with Cardinality Constraint

机译:基于基数约束的MAX-2SAT的改进近似算法

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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 (6+3·e)/(16+2·e) - ε ≈ 0.6603. 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.
机译:优化问题MAX-2SAT-CC是MAX-2SAT,其中附加基数约束是可以将值分配给大多数K变量。我们呈现了MAX-2SAT-CC的多项式运行时间近似算法。该算法达到任何ε> 0,近似比(6 + 3·e)/(16 + 2·e) - ε≈0.06603。此外,我们呈现了一种贪婪的算法,具有运行时间O(n log n)和近似比1/2。后一种算法甚至适用于任意长度的条款。

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