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
T. Feo, O. Goldschmidt and M. Khellaf, “One half approximation algorithms for the k-partition problem”, Operations Research 40, 1992, S170–S172.
T. Feo and M. Khellaf, “A class of bounded approximation algorithms for graph partitioning”, Networks 20, 1990, 181–195.
R. Hassin, S. Rubinstein and A. Tamir, “Approximation algorithms for maximum dispersion”, Operations Research Letters, 21 (1997), 133–137.
B. Korte and D. Hausmann, “An analysis of the greedy heuristic for independence systems,” Annals of Discrete Mathematics 2, 1978, 65–74.
G. Woeginger, private communication.
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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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