Year: 2025
Type: preprint
Abstract: Earlier we introduced the notion of a stable set of points (SSP). We proved that a CNF formula is unsatisfiable iff there is a set of points (i.e. complete assignments) that is stable with respect to this formula. Experiments showed that SSPs for CNF formulas of practical interest are very large. So computing an SSP for a CNF formula point by point is, in general, infeasible. In this report, we show how an SSP can be computed in clusters, each cluster being a large set of points that are processed simultaneously. The appeal of computing SSPs is twofold. First, it allows one to better take into account formula structure and hence, arguably, design more efficient SAT algorithms. Second, SAT solving by SSPs facilitates parallel computing.
Source: arXiv (Cornell University)
Author: Goldberg, Eugene
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4415310573
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