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The Maximum Clique Problem in Multiple Interval Graphs (Extended Abstract)

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Book cover Graph-Theoretic Concepts in Computer Science (WG 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7551))

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Abstract

Multiple interval graphs are variants of interval graphs where instead of a single interval, each vertex is assigned a set of intervals on the real line. We study the complexity of the MAXIMUM CLIQUE problem in several classes of multiple interval graphs. The MAXIMUM CLIQUE problem, or the problem of finding the size of the maximum clique, is known to be NP-complete for t-interval graphs when t ≥ 3 and polynomial-time solvable when t = 1. The problem is also known to be NP-complete in t-track graphs when t ≥ 4 and polynomial-time solvable when t ≤ 2. We show that MAXIMUM CLIQUE is already NP-complete for unit 2-interval graphs and unit 3-track graphs. Further, we show that the problem is APX-complete for 2-interval graphs, 3-track graphs, unit 3-interval graphs and unit 4-track graphs. We also introduce two new classes of graphs called t-circular interval graphs and t-circular track graphs and study the complexity of the MAXIMUM CLIQUE problem in them. On the positive side, we present a polynomial time t-approximation algorithm for WEIGHTED MAXIMUM CLIQUE on t-interval graphs, improving earlier work with approximation ratio 4t.

This work was partially supported by the grant ANR-09-JCJC-0041.

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Francis, M.C., Gonçalves, D., Ochem, P. (2012). The Maximum Clique Problem in Multiple Interval Graphs (Extended Abstract). In: Golumbic, M.C., Stern, M., Levy, A., Morgenstern, G. (eds) Graph-Theoretic Concepts in Computer Science. WG 2012. Lecture Notes in Computer Science, vol 7551. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34611-8_9

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  • DOI: https://doi.org/10.1007/978-3-642-34611-8_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34610-1

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