We show that the CNF satisfiability problem can be solved O*(1.2226m) time, where m is the number of clauses in the formula, improving the known upper bounds O*(1.234m) given by Yamamoto 15 years ago and O*(1.239m) 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.
CITATION STYLE
Chu, H., Xiao, M., & Zhang, Z. (2021). An Improved Upper Bound for SAT. In 35th AAAI Conference on Artificial Intelligence, AAAI 2021 (Vol. 5A, pp. 3707–3714). Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v35i5.16487
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