Given a weighted graph with n nodes and m edges. for each node v we should calculate number of nodes u such that d(v,u)<=k . n,m<=5e4 k<=100; Please somebody help me. UPD: I don't know if it's important or not but Wi<=100 for every edge.
№ | Пользователь | Рейтинг |
---|---|---|
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 |
Страны | Города | Организации | Всё → |
№ | Пользователь | Вклад |
---|---|---|
1 | maomao90 | 173 |
2 | adamant | 164 |
3 | awoo | 161 |
4 | TheScrasse | 160 |
5 | nor | 159 |
6 | maroonrk | 156 |
7 | SecondThread | 152 |
8 | pajenegod | 146 |
9 | BledDest | 144 |
10 | Um_nik | 143 |
Given a weighted graph with n nodes and m edges. for each node v we should calculate number of nodes u such that d(v,u)<=k . n,m<=5e4 k<=100; Please somebody help me. UPD: I don't know if it's important or not but Wi<=100 for every edge.
Название |
---|
As k is small here. You can do DP with states — DP(u, k) = number of nodes in subtree of u at distance k. Then you need to combine answers for subtrees. Complexity O(nk). (Notice that we are not interested in any path of length > k)
However this problem can also be solved in O(n log n), for large k, using Centroid Decomposition.
You can submit the unweighted graph version of this problem here — 161D - Distance in Tree.
Will this tree concept work for cyclic graph ? (Subtree)
The graph isn't a tree.
i have some problem in 161D
your comment help me a lot thx.
Are negative weights allowed?