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AAAI 2021

An Improved Upper Bound for SAT

Conference Paper AAAI Technical Track on Constraint Satisfaction and Optimization Artificial Intelligence

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