For a undirected graph with tree characteristics, we can choose any node as the root. The result graph is then a rooted tree. Among all possible rooted trees, those with minimum height are called minimum height trees (MHTs). Given such a graph, write a function to find all the MHTs and return a list of their root labels.
Format
The graph contains
n
nodes which are labeled from
to
n - 1
. You will be given the number
n
and a list of undirected
edges
(each edge is a pair of labels).
You can assume that no duplicate edges will appear in
edges
. Since all edges are undirected,
[0, 1]
is the same as
[1, 0]
and thus will not appear together in
edges
.
Example 1:
Given
n = 4
,
edges = [[1, 0], [1, 2], [1, 3]]
0
|
1
/ \
2 3
return
[1]
Example 2:
Given
n = 6
,
edges = [[0, 3], [1, 3], [2, 3], [4, 3], [5, 4]]
0 1 2
\ | /
3
|
4
|
5
return
[3, 4]
Hint:
- How many MHTs can a graph have at most?
Note:
(1) According to the definition of tree on Wikipedia: “a tree is an undirected graph in which any two vertices are connected by exactly one path. In other words, any connected graph without simple cycles is a tree.”
(2) The height of a rooted tree is the number of edges on the longest downward path between the root and a leaf.
解法一:
很像topological sort的算法。
class Solution {
public:
vector<int> findMinHeightTrees(int n, vector<pair<int, int>>& edges) {
if(n==1) return {0};
vector<int> in(n,0);
vector<int> res;
vector<vector<int>> graph(n,vector<int>());
for(auto a:edges){
graph[a.first].push_back(a.second);
++in[a.first];
graph[a.second].push_back(a.first);
++in[a.second];
}
queue<int> q;
for(int i=0; i<n; i++){
if(in[i]==1) q.push(i);
}
while(n>2){
int sz = q.size();
for(int i=0; i<sz; i++){
int cur = q.front(); q.pop();
--n;
for(auto a:graph[cur]){
--in[a];
if(in[a]==1) q.push(a);
}
}
}
while(!q.empty()){
res.push_back(q.front());
q.pop();
}
return res;
}
};