A dichotomy theorem for typed constraint satisfaction problems

1Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper is a contribution to the general investigation into how the complexity of constraint satisfaction problems (CSPs) is determined by the form of the constraints. Schaefer proved that the Boolean generalized CSP has the dichotomy property (i.e., all instances are either in P or are NP-complete), and gave a complete and simple classification of those instances which are in P (assuming P ≠ NP) [20]. In this paper we consider a special subcase of the generalized CSP. For this CSP subcase, we require that the variables be drawn from disjoint Boolean domains. Our relation set contains only two elements: a monotone multiple-arity Boolean relation R and its complement R̄. We prove a dichotomy theorem for these monotone function CSPs, and characterize those monotone functions such that the corresponding problem resides in P. © Springer-Verlag Berlin Heidelberg 2006.

Cite

CITATION STYLE

APA

Chen, S., Imielinski, T., Johnsgard, K., Smith, D., & Szegedy, M. (2006). A dichotomy theorem for typed constraint satisfaction problems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4121 LNCS, pp. 226–239). Springer Verlag. https://doi.org/10.1007/11814948_23

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free