Affiliation:
1. College of Information Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 030024, China
Abstract
Matching theory is one of the most forefront issues of graph theory. Based on the largest geometric multiplicity, we develop an efficient approach to identify maximum matchings in a digraph. For a given digraph, it has been proved that the number of maximum matched nodes has close relationship with the largest geometric multiplicity of the transpose of the adjacency matrix. Moreover, through fundamental column transformations, we can obtain the matched nodes and related matching edges. In particular, when a digraph contains a cycle factor, the largest geometric multiplicity is equal to one. In this case, the maximum matching is a perfect matching and each node in the digraph is a matched node. The method is validated by an example.
Funder
Innovation Foundations of Education for Graduate Students of Shanxi Province
Subject
General Engineering,General Mathematics
Cited by
1 articles.
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1. Perfecting matching of an undirected dense based on geometric multiplicity;2ND INTERNATIONAL CONFERENCE ON MATHEMATICAL TECHNIQUES AND APPLICATIONS: ICMTA2021;2022