Concurrent cube-and-conquer (Poster presentation)

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Abstract

Satisfiability solvers targeting industrial instances are currently almost always based on conflict-driven clause learning (CDCL) [5]. This technique can successfully solve very large instances. Yet on small, hard problems lookahead solvers [3] often perform better by applying much more reasoning in each search node and then recursively splitting the search space until a solution is found. © 2012 Springer-Verlag.

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Van Der Tak, P., Heule, M. J. H., & Biere, A. (2012). Concurrent cube-and-conquer (Poster presentation). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7317 LNCS, pp. 475–476). https://doi.org/10.1007/978-3-642-31612-8_42

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