Nordic Journal of Computing Bibliography

T. Asano, T. Ono, and T. Hirata. Approximation Algorithms for the Maximum Satisfiability Problem. Nordic Journal of Computing, 3(4):388-404, Winter 1996.
Abstract

The maximum satisfiability problem (MAX SAT) is the following: given a set of clauses with weights, find a truth assignment that maximizes the sum of the weights of the satisfied clauses. In this paper, we present approximation algorithms for MAX SAT, including a 0.76544-approximation algorithm. The previous best approximation algorithm for MAX SAT was proposed by Goemans-Williamson and has a performance guarantee of 0.7584. Our algorithms are based on semidefinite programming and the 0.75-approximation algorithms of Yannakakis and Goemans-Williamson.

Categories and Subject Descriptors: G.1.6 [Numerical Analysis]: Optimization; G.2.1 [Discrete Mathematics]: Combinatorics; G.3 [Probability and Statistics]; I.1.2 [Algebraic Manipulation]: Algorithms

Additional Key Words and Phrases: approximation algorithms, maximum satisfiability, network flows, randomized algorithms, semidefinite programming

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