The time complexity of constraint satisfaction

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Abstract

We study the time complexity of (d,k)-CSP, the problem of deciding satisfiability of a constraint system C with n variables, domain size d, and at most k variables per constraint. We are interested in the question how the domain size d influences the complexity of deciding satisfiability. We show, assuming the Exponential Time Hypothesis, that two special cases, namely (d,2)-CSP with bounded variable frequency and d-UNIQUE-CSP, already require exponential time Ω(d c•n ) for some c > 0 independent of d. UNIQUE-CSP is the special case for which it is guaranteed that every input constraint system has at most 1 satisfying assignment. © 2008 Springer-Verlag Berlin Heidelberg.

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Traxler, P. (2008). The time complexity of constraint satisfaction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5018 LNCS, pp. 190–201). https://doi.org/10.1007/978-3-540-79723-4_18

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