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Algorithms for Finding a Maximum Non-k-linked Graph

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6942))

Abstract

A graph with at least 2k vertices is said to be k-linked if for any ordered k-tuples (s 1, …, s k ) and (t 1, …, t k ) of 2k distinct vertices, there exist pairwise vertex-disjoint paths P 1, …, P k such that P i connects s i and t i for i = 1, …, k. For a given graph G, we consider the problem of finding a maximum induced subgraph of G that is not k-linked. This problem is a common generalization of computing the vertex-connectivity and testing the k-linkedness of G, and it is closely related to the concept of H-linkedness. In this paper, we give the first polynomial-time algorithm for the case of k = 2, whereas a similar problem that finds a maximum induced subgraph without 2-vertex-disjoint paths connecting fixed terminal pairs is NP-hard. For the case of general k, we give an (8k − 2)-additive approximation algorithm. We also investigate the computational complexities of the edge-disjoint case and the directed case.

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Kobayashi, Y., Yoshida, Y. (2011). Algorithms for Finding a Maximum Non-k-linked Graph. In: Demetrescu, C., Halldórsson, M.M. (eds) Algorithms – ESA 2011. ESA 2011. Lecture Notes in Computer Science, vol 6942. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23719-5_12

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  • DOI: https://doi.org/10.1007/978-3-642-23719-5_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23718-8

  • Online ISBN: 978-3-642-23719-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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