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On Approximation Hardness of the Minimum 2SAT-DELETION Problem

机译:最小2SAT-DELETION问题的近似硬度

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The MINIMUM 2SAT-DELETION problem is to delete the minimum number of clauses in a 2SAT instance to make it satisfiable. It is one of the prototypes in the approximability hierarchy of minimization problems, and its approximability is largely open. We prove a lower approximation bound of 8(5~(1/2)) - 15 ≈ 2.88854, improving the previous bound of 10(5~(1/2))- 21 ≈ 1.36067 by Dinur and Safra. For highly restricted instances with exactly 4 occurrences of every variable we provide a lower bound of |. Both inapproximability results apply to instances with no mixed clauses (the literals in every clause are both either negated, or unnegated). We further prove that any k-approximation algorithm for MINIMUM 2SAT-DELETION polynomially reduces to a (2 - 2/(k+1)-approximation algorithm for the MINIMUM VERTEX COVER problem. One ingredient of these improvements is our proof that for the MINIMUM VERTEX COVER problem restricted to graphs with a perfect matching its threshold on polynomial time approximability is the same as for the general MINIMUM VERTEX COVER problem. This improves also on results of Chen and Kanj.
机译:MINIMUM 2SAT-DELETION问题是删除2SAT实例中的子句的最小数量以使其可满足要求。它是最小化问题的逼近度层次结构中的原型之一,其逼近度在很大程度上是开放的。我们证明了Dinur和Safra改进了8(5〜(1/2))-15≈2.88854的下界,提高了10(5〜(1/2))-21≈1.36067的前界。对于每个变量恰好出现4次的高度受限实例,我们提供|的下限。两种不可逼近的结果都适用于没有混合子句的实例(每个子句中的文字都是取反的,也可以是取反的)。我们进一步证明,针对MINIMUM 2SAT-DELETION的任何k逼近算法在多项式上都可以简化为MINIMUM VERTEX COVER问题的(2-2 /(k + 1)逼近算法。这些改进的一个要素是我们证明了MINIMUM VERTEX COVER问题仅限于与多项式时间逼近度阈值完全匹配的图,这与一般的MINIMUM VERTEX COVER问题相同,这也改善了Chen和Kanj的结果。

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