A probabilistic 3–SAT algorithm further improved

71Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In [Sch99], Schoning proposed a simple yet efficient randomized algorithm for solving the k-SAT problem. In the case of 3-SAT, the algorithm has an expected running time of poly(n) • (4/3)n = O(1.3334n) when given a formula F on n variables. This was the up to now best running time known for an algorithm solving 3-SAT. Here, we describe an algorithm which improves upon this time bound by combining an improved version of the above randomized algorithm with other randomized algorithms. Our new expected time bound for 3-SAT is O(1.3302n).

Cite

CITATION STYLE

APA

Hofmeister, T., Schöning, U., Schuler, R., & Watanabe, O. (2002). A probabilistic 3–SAT algorithm further improved. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2285, pp. 192–202). Springer Verlag. https://doi.org/10.1007/3-540-45841-7_15

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