On the Computational Complexity of Monotone Constraint Satisfaction Problems

  • Authors:
  • Miki Hermann;Florian Richoux

  • Affiliations:
  • LIX (CNRS, UMR 7161), École Polytechnique, Palaiseau, France 91128;LIX (CNRS, UMR 7161), École Polytechnique, Palaiseau, France 91128

  • Venue:
  • WALCOM '09 Proceedings of the 3rd International Workshop on Algorithms and Computation
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Constraint Satisfaction Problems (csp ) constitute a convenient way to capture many combinatorial problems. The general csp is known to be NP-complete, but its complexity depends on a parameter, usually a set of relations, upon which they are constructed. Following the parameter, there exist tractable and intractable instances of csp s. In this paper we show a dichotomy theorem for every finite domain of csp including also disjunctions. This dichotomy condition is based on a simple condition, allowing us to classify monotone csp s as tractable or NP-complete. We also prove that the meta-problem, verifying the tractability condition for monotone constraint satisfaction problems, is fixed-parameter tractable. Moreover, we present a polynomial-time algorithm to answer this question for monotone csp s over ternary domains.