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Partitioning Graphs into Connected Parts

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Computer Science - Theory and Applications (CSR 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5675))

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Abstract

The 2-Disjoint Connected Subgraphs problem asks if a given graph has two vertex-disjoint connected subgraphs containing pre-specified sets of vertices. We show that this problem is NP-complete even if one of the sets has cardinality 2. The Longest Path Contractibility problem asks for the largest integer ℓ for which an input graph can be contracted to the path P on ℓ vertices. We show that the computational complexity of the Longest Path Contractibility problem restricted to P -free graphs jumps from being polynomially solvable to being NP-hard at ℓ= 6, while this jump occurs at ℓ= 5 for the 2-Disjoint Connected Subgraphs problem. We also present an exact algorithm that solves the 2-Disjoint Connected Subgraphs problem faster than \({\cal O}^*(2^n)\) for any n-vertex P -free graph. For ℓ= 6, its running time is \({\cal O}^*(1.5790^n)\). We modify this algorithm to solve the Longest Path Contractibility problem for P 6-free graphs in \({\cal O}^*(1.5790^n)\) time.

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© 2009 Springer-Verlag Berlin Heidelberg

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van ’t Hof, P., Paulusma, D., Woeginger, G.J. (2009). Partitioning Graphs into Connected Parts. In: Frid, A., Morozov, A., Rybalchenko, A., Wagner, K.W. (eds) Computer Science - Theory and Applications. CSR 2009. Lecture Notes in Computer Science, vol 5675. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03351-3_15

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  • DOI: https://doi.org/10.1007/978-3-642-03351-3_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03350-6

  • Online ISBN: 978-3-642-03351-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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