Hello, how can Kruskal's algorithm be modified to run in O(n^2) time in a dense graph of n nodes??
# | User | Rating |
---|---|---|
1 | jiangly | 3640 |
2 | Benq | 3593 |
3 | tourist | 3572 |
4 | orzdevinwang | 3561 |
5 | cnnfls_csy | 3539 |
6 | ecnerwala | 3534 |
7 | Radewoosh | 3532 |
8 | gyh20 | 3447 |
9 | Rebelz | 3409 |
10 | Geothermal | 3408 |
# | User | Contrib. |
---|---|---|
1 | maomao90 | 174 |
2 | awoo | 164 |
3 | adamant | 163 |
4 | TheScrasse | 159 |
5 | nor | 158 |
6 | maroonrk | 156 |
7 | -is-this-fft- | 151 |
8 | SecondThread | 147 |
9 | orz | 146 |
10 | pajenegod | 145 |
Name |
---|
This seems well explained and it has cpp code.
Why do you need Kruskal for such a task? Prim have your desired complexity, and is not much harder to implement compare to Kruskal.
I am thinking that since Kruskal is usually faster to implement from scratch compared to Prim, the OP was hoping for an easy modification to Kruskal to achieve O(N^2) time complexity on dense graphs so that he could use it in more contexts during contests.
What does OP mean?
Original poster
It's the same as O(V^2 + E) dijkstra, just linearly search for smallest cost vertex that hasn't been visited yet.
Edit: I meant prim