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The Complexity of Bottleneck Labeled Graph Problems

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Graph-Theoretic Concepts in Computer Science (WG 2007)

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Abstract

We present hardness results, approximation heuristics, and exact algorithms for bottleneck labeled optimization problems arising in the context of graph theory. This long-established model partitions the set of edges into classes, each of which is identified by a unique color. The generic objective is to construct a subgraph of prescribed structure (such as that of being an s-t path, a spanning tree, or a perfect matching) while trying to avoid over-picking or under-picking edges from any given color.

Due to space limitations, some proofs were omitted from this extended abstract. We refer the reader to the full version of this paper (currently available online at http://www.lamsade.dauphine.fr/~monnot), in which all missing details are provided.

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Andreas Brandstädt Dieter Kratsch Haiko Müller

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Hassin, R., Monnot, J., Segev, D. (2007). The Complexity of Bottleneck Labeled Graph Problems. In: Brandstädt, A., Kratsch, D., Müller, H. (eds) Graph-Theoretic Concepts in Computer Science. WG 2007. Lecture Notes in Computer Science, vol 4769. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74839-7_31

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  • DOI: https://doi.org/10.1007/978-3-540-74839-7_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74838-0

  • Online ISBN: 978-3-540-74839-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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