DocumentCode :
3710093
Title :
Satisfiability of Ordering CSPs above Average is Fixed-Parameter Tractable
Author :
Konstantin Makarychev;Yury Makarychev;Yuan Zhou
fYear :
2015
Firstpage :
975
Lastpage :
993
Abstract :
We study the satisfiability of ordering constraint satisfaction problems (CSPs) above average. We prove the conjecture of Gutin, van Iersel, Mnich, and Yeo that the satisfiability above average of ordering CSPs of arity k is fixed-parameter tractable for every k. Previously, this was only known for k=2 and k=3. We also generalize this result to more general classes of CSPs, including CSPs with predicates defined by linear equations. To obtain our results, we prove a new Bonami-type inequality for the Efron -- Stein decomposition. The inequality applies to functions defined on arbitrary product probability spaces. In contrast to other variants of the Bonami Inequality, it does not depend on the mass of the smallest atom in the probability space. We believe that this inequality is of independent interest.
Keywords :
"Approximation methods","Approximation algorithms","Atomic measurements","Kernel","Lattices","Games","Polynomials"
Publisher :
ieee
Conference_Titel :
Foundations of Computer Science (FOCS), 2015 IEEE 56th Annual Symposium on
ISSN :
0272-5428
Type :
conf
DOI :
10.1109/FOCS.2015.64
Filename :
7354438
Link To Document :
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