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International Workshop on Graph-Theoretic Concepts in Computer Science

WG 2011: Graph-Theoretic Concepts in Computer Science pp 47–58Cite as

Graph Classes with Structured Neighborhoods and Algorithmic Applications

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6986))

Abstract

Boolean-width is a recently introduced graph width parameter. If a boolean decomposition of width w is given, several NP-complete problems, such as Maximum Weight Independent Set, k-Coloring and Minimum Weight Dominating Set are solvable in O *(2O(w)) time [6]. In this paper we study graph classes for which we can compute a decomposition of logarithmic boolean-width in polynomial time. Since 2O(logn) = n O(1), this gives polynomial time algorithms for the above problems on these graph classes. For interval graphs we show how to construct decompositions where neighborhoods of vertex subsets are nested. We generalize this idea to neighborhoods that can be represented by a constant number of vertices. Moreover we show that these decompositions have boolean-width O(logn). Graph classes having such decompositions include circular arc graphs, circular k-trapezoid graphs, convex graphs, Dilworth k graphs, k-polygon graphs and complements of k-degenerate graphs. Combined with results in [1,5], this implies that a large class of vertex subset and vertex partitioning problems can be solved in polynomial time on these graph classes.

This project was partially supported by the Research Council of Norway.

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Authors and Affiliations

  1. Department of Informatics, University of Bergen, P.O. Box 7803, N-5020, Bergen, Norway

    Rémy Belmonte & Martin Vatshelle

Authors
  1. Rémy Belmonte
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  2. Martin Vatshelle
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Editors and Affiliations

  1. KAM MFF UK, Charles University, Malostranské nám 25, 11800, Praha 1, Czech Republic

    Petr Kolman  & Jan Kratochvíl  & 

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Belmonte, R., Vatshelle, M. (2011). Graph Classes with Structured Neighborhoods and Algorithmic Applications. In: Kolman, P., Kratochvíl, J. (eds) Graph-Theoretic Concepts in Computer Science. WG 2011. Lecture Notes in Computer Science, vol 6986. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25870-1_6

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  • DOI: https://doi.org/10.1007/978-3-642-25870-1_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25869-5

  • Online ISBN: 978-3-642-25870-1

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