CF1707C DFS Trees
Description
You are given a connected undirected graph consisting of $ n $ vertices and $ m $ edges. The weight of the $ i $ -th edge is $ i $ .
Here is a wrong algorithm of finding a [minimum spanning tree](https://en.wikipedia.org/wiki/Minimum_spanning_tree) (MST) of a graph:
```
vis := an array of length n
s := a set of edges
function dfs(u):
vis[u] := true
iterate through each edge (u, v) in the order from smallest to largest edge weight
if vis[v] = false
add edge (u, v) into the set (s)
dfs(v)
function findMST(u):
reset all elements of (vis) to false
reset the edge set (s) to empty
dfs(u)
return the edge set (s)
``` Each of the calls findMST(1), findMST(2), ..., findMST(n) gives you a spanning tree of the graph. Determine which of these trees are minimum spanning trees.
Input Format
N/A
Output Format
N/A
Explanation/Hint
Here is the graph given in the first example.
There is only one minimum spanning tree in this graph. A minimum spanning tree is $ (1,2),(3,5),(1,3),(2,4) $ which has weight $ 1+2+3+5=11 $ .
Here is a part of the process of calling findMST(1):
- reset the array vis and the edge set s;
- calling dfs(1);
- vis\[1\] := true;
- iterate through each edge $ (1,2),(1,3) $ ;
- add edge $ (1,2) $ into the edge set s, calling dfs(2):
- vis\[2\] := true
- iterate through each edge $ (2,1),(2,3),(2,4) $ ;
- because vis\[1\] = true, ignore the edge $ (2,1) $ ;
- add edge $ (2,3) $ into the edge set s, calling dfs(3):
- ...
In the end, it will select edges $ (1,2),(2,3),(3,5),(2,4) $ with total weight $ 1+4+2+5=12>11 $ , so findMST(1) does not find a minimum spanning tree.
It can be shown that the other trees are all MSTs, so the answer is 01111.