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A detailed introduction to a minimum-cost perfect matching algorithm based on linear programming

Author

Listed:
  • Kevin K. H. Cheung

    (Carleton University)

  • Kyel Governor

    (University of Chicago)

Abstract

Full technical details for a slightly simplified version of the minimum weight perfect matching via blossom belief propagation by Ahn, Park, Chertkov and Shin (in Advances in neural information processing systems, vol 28, Curran Associates, Inc., 2015) are provided. An example showing the necessity of a certain uniqueness assumption is given. An alternative to perturbing the edge weights to ensure the uniqueness assumption is satisfied is suggested.

Suggested Citation

  • Kevin K. H. Cheung & Kyel Governor, 2023. "A detailed introduction to a minimum-cost perfect matching algorithm based on linear programming," Journal of Combinatorial Optimization, Springer, vol. 45(3), pages 1-27, April.
  • Handle: RePEc:spr:jcomop:v:45:y:2023:i:3:d:10.1007_s10878-023-00998-8
    DOI: 10.1007/s10878-023-00998-8
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    References listed on IDEAS

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    1. William Cook & André Rohe, 1999. "Computing Minimum-Weight Perfect Matchings," INFORMS Journal on Computing, INFORMS, vol. 11(2), pages 138-148, May.
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