This analysis reveals how hypergraphs lead to tractable CSPs by defining their generalized hypertree width.
The SAT problem is important in the theory of computational complexity. It has been deeply studied because solutions for fragments of SAT can be transformed into solutions for several CSPs, including problems in areas such as Artificial Intelligence and Operations Research. Although SAT is an NP-complete problem, it is known that SAT is fixed-parameter tractable if we take any hypertree width as a parameter. In this work, we present several hypergraphs and countable classes of hypergraphs. For these classes of hypergraphs, we analyze their generalized hypertree width to prove that all the CSPs modeled with those hypergraphs are tractable.
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Flores et al. (2025) studied this question.
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