An Improved Upper Bound for SAT
Data Structures and Algorithms
2020-07-09 v1 Computational Complexity
Abstract
We show that the CNF satisfiability problem can be solved time, where is the number of clauses in the formula, improving the known upper bounds given by Yamamoto 15 years ago and given by Hirsch 22 years ago. By using an amortized technique and careful case analysis, we successfully avoid the bottlenecks in previous algorithms and get the improvement.
Keywords
Cite
@article{arxiv.2007.03829,
title = {An Improved Upper Bound for SAT},
author = {Huairui Chu and Mingyu Xiao and Zhe Zhang},
journal= {arXiv preprint arXiv:2007.03829},
year = {2020}
}