On approximation hardness of the minimum 2SAT-DELETION problem

9Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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 [8], and its approximability is largely open. We prove a lower approximation bound of 8√5-15 ≈ 2.88854, improving the previous bound of 10√5-21 ≈ 1.36067 by Dinur and Safra [5]. For highly restricted instances with exactly 4 occurrences of every variable we provide a lower bound of 3/2. 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 [3]. © Springer-Verlag 2004.

Cite

CITATION STYLE

APA

Chlebík, M., & Chlebíková, J. (2004). On approximation hardness of the minimum 2SAT-DELETION problem. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3153, 263–273. https://doi.org/10.1007/978-3-540-28629-5_18

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free