Bipartite Maximum-Weight Matching: Difference between revisions
Jump to navigation
Jump to search
(Created page with "{{DISPLAYTITLE:Bipartite Maximum-Weight Matching (Maximum-Weight Matching)}} == 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 == <pre>n: number of vertices m: number of edges N: largest weight magnitude</pre> == Table of A...") |
No edit summary |
||
| Line 10: | Line 10: | ||
== Parameters == | == Parameters == | ||
n: number of vertices | |||
m: number of edges | m: number of edges | ||
N: largest weight magnitude | |||
N: largest weight magnitude | |||
== Table of Algorithms == | == Table of Algorithms == | ||
Revision as of 12:02, 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
Error creating thumbnail: Unable to save thumbnail to destination
Space Complexity graph
Error creating thumbnail: Unable to save thumbnail to destination
Pareto Decades graph
Error creating thumbnail: Unable to save thumbnail to destination