An Efficient Implementation of Edmonds' Algorithm for Maximum Matching on Graphs
Journal of the ACM (JACM)
STOC '74 Proceedings of the sixth annual ACM symposium on Theory of computing
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A matching in a graph is a collection of edges, no two of which share a vertex. A maximum matching contains the greatest number of edges possible. This paper presents an efficient implementation of Edmonds'' algorithm for finding maximum matchings. The computation time is proportional to $V^3$, where V is the number of vertices; previous algorithms have computation time proportional to $V^4$. The implementation avoids Edmonds'' blossom reduction by using pointers to encode the structure of alternating paths.