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Consistency for counting quantifiers

Madelaine, Florent; Martin, Barnaby

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Authors

Florent Madelaine



Contributors

Igor Potapov
Editor

Paul Spirakis
Editor

James Worrell
Editor

Abstract

We apply the algebraic approach for Constraint Satisfaction Problems (CSPs) with counting quantifiers, developed by Bulatov and Hedayaty, for the first time to obtain classifications for computational complexity. We develop the consistency approach for expanding polymorphisms to deduce that, if H has an expanding majority polymorphism, then the corresponding CSP with counting quantifiers is tractable. We elaborate some applications of our result, in particular deriving a complexity classification for partially reflexive graphs endowed with all unary relations. For each such structure, either the corresponding CSP with counting quantifiers is in P, or it is NP-hard.

Citation

Madelaine, F., & Martin, B. (2018). Consistency for counting quantifiers. In I. Potapov, P. Spirakis, & J. Worrell (Eds.), 43rd International Symposium on Mathematical Foundations of Computer Science (MFCS 2018). August 27-31, 2018, Liverpool (UK) (11:1-11:13). https://doi.org/10.4230/lipics.mfcs.2018.11

Conference Name 43rd International Symposium on Mathematical Foundations of Computer Science (MFCS 2018).
Conference Location Liverpool, UK
Start Date Aug 27, 2018
End Date Aug 31, 2018
Acceptance Date Jun 13, 2018
Publication Date Aug 31, 2018
Deposit Date Jul 12, 2018
Publicly Available Date Jun 27, 2019
Volume 117
Pages 11:1-11:13
Series Title Leibniz International Proceedings in Informatics (LIPIcs)
Series ISSN 1868-8969
Book Title 43rd International Symposium on Mathematical Foundations of Computer Science (MFCS 2018). August 27-31, 2018, Liverpool (UK).
DOI https://doi.org/10.4230/lipics.mfcs.2018.11
Public URL https://durham-repository.worktribe.com/output/1145134

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