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 0 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 = 4edges = [[1, 0], [1, 2], [1, 3]]

        |

       / \
         

return [1]

Example 2:

Given n = 6edges = [[0, 3], [1, 3], [2, 3], [4, 3], [5, 4]]

      \ | /

        |

        |
        

return [3, 4]

思路:找到这棵树中所有度为1的节点,它们是最外层的节点。从树中移除这些节点,重复这个操作直到树中的节点数小于3。结果可能是1个节点或者两个节点,这取决于树中最长路径的长度(奇偶性)。时间复杂度O(N)。

class Solution {
public:
vector<int> findMinHeightTrees(int n, vector<pair<int, int>>& edges) {
if (n == ) return vector<int>(, );
vector<unordered_set<int> > tree(n, unordered_set<int>());
for (int i = ; i < edges.size(); i++) {
tree[edges[i].first].insert(edges[i].second);
tree[edges[i].second].insert(edges[i].first);
}
vector<int> leaves;
for (int i = ; i < n; i++)
if (tree[i].size() == ) leaves.push_back(i);
while (n > ) {
vector<int> newLeaves;
for (int i = ; i < leaves.size(); i++)
for (auto j : tree[leaves[i]]) {
tree[j].erase(leaves[i]);
if (tree[j].size() == ) newLeaves.push_back(j);
}
n -= leaves.size();
leaves = newLeaves;
}
return leaves;
}
};

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