New Algorithms for #2-SAT and #3-SAT
New Algorithms for #2-SAT and #3-SAT
Junqiang Peng, Zimo Sheng, Mingyu Xiao
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence
Main Track. Pages 2666-2674.
https://doi.org/10.24963/ijcai.2025/297
The #2-SAT and #3-SAT problems involve counting the number of satisfying assignments (also called models) for instances of 2-SAT and 3-SAT, respectively. In 2010, Zhou et al. (https://doi.org/10.1609/aaai.v24i1.7537) proposed an O*(1.1892^m)-time algorithm for #2-SAT and an efficient approach for #3-SAT, where m denotes the number of clauses. In this paper, we show that the weighted versions of #2-SAT and #3-SAT can be solved in O*(1.1082^m) and O*(1.4423^m) time, respectively. These results directly apply to the unweighted cases and achieve substantial improvements over the previous results. These advancements are enabled by the introduction of novel reduction rules, a refined analysis of branching operations, and the application of path decompositions on the primal and dual graphs of the formula.
Keywords:
Constraint Satisfaction and Optimization: CSO: Satisfiabilty
