Improved Linear Time Approximation Algorithms for Weighted Matchings

Author:

Drake Doratha E.,Hougardy Stefan

Publisher

Springer Berlin Heidelberg

Reference11 articles.

1. Avis, D.: A Survey of Heuristics for the Weighted Matching Problem. Networks 13, 475–493 (1983)

2. Beier, R., Sibeyn, J.F.: A Powerful Heuristic for Telephone Gossiping. In: Proc. 7th Colloquium on Structural Information and Communication Complexity, pp. 17–35. Carleton Scientific, Ottawa (2000)

3. Drake, D.E., Hougardy, S.: A Simple Approximation Algorithm for the Weighted Matching Problem. Information Processing Letters 85, 211–213 (2003)

4. Edmonds, J.: Maximum matching and a polyhedron with 0,1-vertices. J. Res. Nat. Bur. Standards 69B, 125–130 (1965)

5. Frömmel, C., Gille, C., Goede, A., Gröpl, C., Hougardy, S., Nierhoff, T., Preißner, R., Thimm, M.: Accelerating screening of 3D protein data with a graph theoretical approach. To appear in Bioinformatics

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1. Heuristic Approach to Improve the Efficiency of Maximum Weight Matching Algorithm Using Clustering;Intelligent Decision Technologies;2022

2. Mining Multi-Objective Minimal Commitment Decision Significance via Cluster-and-Find-Changes;58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference;2017-01-05

3. Linear-Time Approximation for Maximum Weight Matching;Journal of the ACM;2014-01

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5. Near Approximation of Maximum Weight Matching through Efficient Weight Reduction;Lecture Notes in Computer Science;2011

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