An Improved Upper Bound for SAT
July 08, 2020 Β· Declared Dead Β· π AAAI Conference on Artificial Intelligence
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Authors
Huairui Chu, Mingyu Xiao, Zhe Zhang
arXiv ID
2007.03829
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.CC
Citations
2
Venue
AAAI Conference on Artificial Intelligence
Last Checked
4 months ago
Abstract
We show that the CNF satisfiability problem can be solved $O^*(1.2226^m)$ time, where $m$ is the number of clauses in the formula, improving the known upper bounds $O^*(1.234^m)$ given by Yamamoto 15 years ago and $O^*(1.239^m)$ 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.
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