An Improved Upper Bound for SAT

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Abstract

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.

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APA

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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