AAAI 2021
An Improved Upper Bound for SAT
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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Context
- Venue
- AAAI Conference on Artificial Intelligence
- Archive span
- 1980-2026
- Indexed papers
- 28718
- Paper id
- 1014594362449739592