Research output: Contribution to journal › Conference article › peer-review
The maximum 2-satisfiability problem (MAX-2-SAT) is: given a Boolean formula in 2-CNF, find a truth assignment that satisfies the maximum possible number of its clauses. MAX-2-SAT is MAX-SNP-complete. Recently, this problem received much attention in the contexts of (polynomial-time) approximation algorithms and (exponential-time) exact algorithms. In this paper, we present an exact algorithm solving MAX-2-SAT in time poly(L) · 2K/5, where K is the number of clauses and L is their total length. In fact, the running time is only poly(L) · 2K2/5, where K2 is the number of clauses containing two literals. This bound implies the bound poly(L) · 2L/10. Our results significantly improve previous bounds: poly(L) ·2 K/2.88 (J. Algorithms 36 (2000) 62-88) and poly(L) · 2K/3.44 (implicit in Bansal and Raman (Proceedings of the 10th Annual Conference on Algorithms and Computation, ISAAC'99, Lecture Notes in Computer Science, Vol. 1741, Springer, Berlin, 1999, pp. 247-258.)). As an application, we derive upper bounds for the (MAX-SNP-complete) maximum cut problem (MAX-CUT), showing that it can be solved in time poly(M) · 2M/3, where M is the number of edges in the graph. This is of special interest for graphs with low vertex degree.
Original language | English |
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Pages (from-to) | 139-155 |
Number of pages | 17 |
Journal | Discrete Applied Mathematics |
Volume | 130 |
Issue number | 2 |
DOIs | |
State | Published - 15 Aug 2003 |
Event | CMMSE 2002 - Alicante, Spain Duration: 20 Sep 2002 → 25 Sep 2002 |
ID: 49828739