Abstract
One of the most important structural parameters of graphs is treewidth, a measure for the “tree-likeness” and thus in many cases an indicator for the hardness of problem instances. The smaller the treewidth, the closer the graph is to a tree and the more efficiently the underlying instance often can be solved. However, computing the treewidth of a graph is NP-hard in general. In this paper we propose an encoding of the decision problem whether the treewidth of a given graph is at most k into the propositional satisfiability problem. The resulting SAT instance can then be fed to a SAT solver. In this way we are able to improve the known bounds on the treewidth of several benchmark graphs from the literature.
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Samer, M., Veith, H. (2009). Encoding Treewidth into SAT. In: Kullmann, O. (eds) Theory and Applications of Satisfiability Testing - SAT 2009. SAT 2009. Lecture Notes in Computer Science, vol 5584. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02777-2_6
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DOI: https://doi.org/10.1007/978-3-642-02777-2_6
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