Bipartite Maximum-Weight Matching: Difference between revisions
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== Time Complexity | == Time Complexity Graph == | ||
[[File:Maximum-Weight Matching - Bipartite Maximum-Weight Matching - Time.png|1000px]] | [[File:Maximum-Weight Matching - Bipartite Maximum-Weight Matching - Time.png|1000px]] | ||
== Space Complexity | == Space Complexity Graph == | ||
[[File:Maximum-Weight Matching - Bipartite Maximum-Weight Matching - Space.png|1000px]] | [[File:Maximum-Weight Matching - Bipartite Maximum-Weight Matching - Space.png|1000px]] | ||
== Pareto | == Pareto Frontier Improvements Graph == | ||
[[File:Maximum-Weight Matching - Bipartite Maximum-Weight Matching - Pareto Frontier.png|1000px]] | [[File:Maximum-Weight Matching - Bipartite Maximum-Weight Matching - Pareto Frontier.png|1000px]] | ||
Revision as of 13:04, 15 February 2023
Description
In computer science, the maximum weight matching problem is the problem of finding, in a weighted graph, a matching in which the sum of weights is maximized. Here, the graph must be bipartite.
Related Problems
Generalizations: Maximum-Weight Matching
Parameters
n: number of vertices
m: number of edges
N: largest weight magnitude
Table of Algorithms
| Name | Year | Time | Space | Approximation Factor | Model | Reference |
|---|---|---|---|---|---|---|
| Hungarian algorithm | 1955 | $O(n^{4})$ | $O(n^{2})$ | Exact | Deterministic | Time |
| Micali; Vazirani | 1980 | $O(n^{3} logn)$ | Exact | Deterministic | Time | |
| Mucha and Sankowski | 2004 | $O(n^{3})$ | Exact | Deterministic | Time |
Time Complexity Graph
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Space Complexity Graph
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Pareto Frontier Improvements Graph
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