Please tell the complexity of http://www.geeksforgeeks.org/maximum-bipartite-matching/ ?
And if we use directly Ford-Fulkerson Algorithm, will it be better?
| # | User | Rating |
|---|---|---|
| 1 | Benq | 3676 |
| 2 | Kevin114514 | 3659 |
| 3 | jiangly | 3640 |
| 4 | turmax | 3450 |
| 5 | tourist | 3382 |
| 6 | strapple | 3360 |
| 7 | Um_nik | 3354 |
| 8 | squareOf105 | 3348 |
| 9 | maroonrk | 3312 |
| 10 | idontwannadothis…e | 3191 |
| # | User | Contrib. |
|---|---|---|
| 1 | Qingyu | 156 |
| 2 | nik_exists | 151 |
| 3 | maspy | 149 |
| 4 | AmShZ | 145 |
| 5 | Um_nik | 143 |
| 6 | Errichto | 139 |
| 7 | BledDest | 136 |
| 8 | adamant | 135 |
| 9 | maroonrk | 132 |
| 10 | cry | 130 |
Please tell the complexity of http://www.geeksforgeeks.org/maximum-bipartite-matching/ ?
And if we use directly Ford-Fulkerson Algorithm, will it be better?
| Name |
|---|



Maximum Bipartite Matching with Ford-Fulkerson takes O(VE) time. Using Dinic instead of Ford-Fulkerson (or Edmonds Karp for that matter; note that Edmonds Karp always find the shortest augmenting path instead of finding a random path), you can achieve a complexity of
.
Can you plz explain the complexity of the link I provided?
Secondly when and how Ford-Fulkerson Algorithm becomes better?
In the link, the bipartite matching is done using Ford-Fulkerson, so the complexity is O(VE).
I don't understand your second question.
A very good source to learn Max-Flow is CLRS. There's an entire chapter dedicated to network flows. You should read it.