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An Approximation Algorithm for the Minimum Weight Vertex-Connectivity Problem in Complete Graphs with Sharpened Triangle Inequality

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Theoretical Computer Science (ICTCS 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2841))

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Abstract

Consider a complete graph G with the edge weights satisfying the β-sharpened triangle inequality: weight(u,v) ≤ β (weight(u,x) + weight(x,v) ), for 1/2 ≤ β < 1. We study the NP-hard problem of finding a minimum weight spanning subgraph of G which is k-vertex-connected, k≥ 2, and give a detailed analysis of an approximation quadratic-time algorithm whose performance ratio is \(\frac{\beta}{1 - \beta}\).

The algorithm is derived from the one presented by Böckenhauer et al. in [3] for the k-edge connectivity problem on graphs satisfying the β-sharpened triangle inequality.

Work partially supported by funds for the research from MIUR, grant ex-60% 2002 Università di Salerno.

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Ferrante, A., Parente, M. (2003). An Approximation Algorithm for the Minimum Weight Vertex-Connectivity Problem in Complete Graphs with Sharpened Triangle Inequality. In: Blundo, C., Laneve, C. (eds) Theoretical Computer Science. ICTCS 2003. Lecture Notes in Computer Science, vol 2841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45208-9_12

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  • DOI: https://doi.org/10.1007/978-3-540-45208-9_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20216-5

  • Online ISBN: 978-3-540-45208-9

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