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Robust Matchings and Maximum Clustering

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Algorithm Theory - SWAT 2000 (SWAT 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1851))

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Abstract

We consider complete graphs with nonnegative edge weights. A p-matching is a set of p disjoint edges. We prove the existence of a maximal (with respect to inclusion) matching M that contains for any P < |M| p edges whose total weight is at least 1/√2 of the maximum weight of a p-matching. We use this property to approximate graph partitioning problems in which the sizes of the parts of the partitioning are given.

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References

  1. T. Feo, O. Goldschmidt and M. Khellaf, “One half approximation algorithms for the k-partition problem”, Operations Research 40, 1992, S170–S172.

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© 2000 Springer-Verlag Berlin Heidelberg

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Hassin, R., Rubinstein, S. (2000). Robust Matchings and Maximum Clustering. In: Algorithm Theory - SWAT 2000. SWAT 2000. Lecture Notes in Computer Science, vol 1851. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44985-X_23

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  • DOI: https://doi.org/10.1007/3-540-44985-X_23

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67690-4

  • Online ISBN: 978-3-540-44985-0

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