New Algorithms for #2-SAT and #3-SAT

July 19, 2025 Β· Declared Dead Β· πŸ› International Joint Conference on Artificial Intelligence

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Authors Junqiang Peng, Zimo Sheng, Mingyu Xiao arXiv ID 2507.14504 Category cs.DS: Data Structures & Algorithms Citations 0 Venue International Joint Conference on Artificial Intelligence Last Checked 4 months ago
Abstract
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.
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