An Improved Upper Bound for SAT

July 08, 2020 Β· Declared Dead Β· πŸ› 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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