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Coloring sparse random k-colorable graphs in polynomial expected time

Böttcher, Julia ORCID: 0000-0002-4104-3635 (2005) Coloring sparse random k-colorable graphs in polynomial expected time. In: Je¸drzejowicz, Joanna and Szepietowski, Andrzej, (eds.) Mathematical Foundations of Computer Science 2005: 30th International Symposium, Mfcs 2005, Gdansk, Poland, August 29–september. Lecture notes in computer science (3618). Springer Berlin / Heidelberg, Berlin, pp. 156-167. ISBN 9783540287025

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Identification Number: 10.1007/11549345_15


Feige and Kilian showed that finding reasonable approximative solutions to the coloring problem on graphs is hard. This motivates the quest for algorithms that either solve the problem in most but not all cases, but are of polynomial time complexity, or that give a correct solution on all input graphs while guaranteeing a polynomial running time on average only. An algorithm of the first kind was suggested by Alon and Kahale in [1] for the following type of random k-colorable graphs: Construct a graph Gnpk on vertex set V of cardinality n by first partitioning V into k equally sized sets and then adding each edge between these sets with probability p independently from each other. Alon and Kahale showed that graphs from Gnpk can be k-colored in polynomial time with high probability as long as p ≥ c/n for some sufficiently large constant c. In this paper, we construct an algorithm with polynomial expected running time for k = 3 on the same type of graphs and for the same range of p. To obtain this result we modify the ideas developed by Alon and Kahale and combine them with techniques from semidefinite programming. The calculations carry over to general k.

Item Type: Book Section
Additional Information: © 2005 Springer-Verlag
Divisions: Mathematics
Subjects: Q Science > QA Mathematics
Date Deposited: 28 May 2012 15:57
Last Modified: 16 May 2024 05:01

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