A General Class of Heuristics for Minimum Weight Perfect Matching and Fast Special Cases with Doubly and Triply Logarithmic Errors |
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Authors: | C Imielińska B Kalantari |
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Affiliation: | (1) Department of Electrical Engineering and Computer Science, Stevens Institute of Technology, Hoboken, NJ 07030, USA., US;(2) Department of Computer Science, Rutgers University, New Brunswick, NJ 08903, USA., US |
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Abstract: | We give a class of heuristic algorithms for minimum weight perfect matching on a complete edge-weighted graph K(V) satisfying the triangle inequality, where V is a set of an even number, n, of vertices. This class is a generalization of the Onethird heuristics, the hypergreedy heuristic, and it possibly employs
any given exact or approximate perfect matching algorithm as an auxiliary heuristic to an appropriate subgraph of K(V). In particular, by using the heuristic of Gabow et al. 3] as its auxiliary heuristic, our algorithm can obtain a solution whose weight is at most times the weight of the optimal solution in time, or a solution with an error of in O(n
2
) time.
Received July 21, 1994; revised November 28, 1995. |
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Keywords: | , Perfect matching, Heuristic algorithms, |
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