New Algorithms for #2-SAT and #3-SAT
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. proposed an $\mathcal{O}^*(1.1892^m)$-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 $\mathcal{O}^*(1.1082^m)$ and $\mathcal{O}^*(1.4423^m)$ 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.
Authors
- Zhigao Sheng (ORCID: https://orcid.org/0000-0003-3382-5968)
- Mingyu Xiao (ORCID: https://orcid.org/0000-0002-1012-2373)
- Junqiang Peng (ORCID: https://orcid.org/0000-0002-2776-8066)
Publication Details
- Journal
- ArXiv.org
- Published
- 2025-07-19
- Primary Topic
- Constraint Satisfaction and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00