題目
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 = 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]
題目分析
挺有趣的一道題目,給出一個undirected的無環圖,找到它最小樹高度的結點集。一開始往DP方向去想,樹的動態規劃沒怎麼學過,只好放棄。另一種比較直接明瞭的辦法就是BFS。
用BFS去尋找葉節點,慢慢將葉節點都去除,直到剩下的結點數連接數小於等於1,則將剩下的結點數返回。
源代碼
class Solution {
public:
vector<int> findMinHeightTrees(int n, vector<pair<int, int>>& edges) {
vector<unordered_set<int> > adj(n);
//建立鄰接矩陣
for (int i = 0; i < edges.size(); i++) {
adj[edges[i].first].insert(edges[i].second);
adj[edges[i].second].insert(edges[i].first);
}
vector<int> current;
//
if (n == 1)
current.push_back(0);
for (int i = 0; i < n; i++) {
if (adj[i].size() == 1) {
current.push_back(i);
}
}
while (1) {
vector<int> next;
//找出葉節點
for (int node : current) {
for (int neighbor : adj[node]) {
adj[neighbor].erase(node);
if (adj[neighbor].size() == 1) next.push_back(neighbor);
}
}
if (next.empty()) return current;
current = next;
}
}
};