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]]

        0
|
1
/ \
2 3

return [1]

Example 2:

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

     0  1  2
\ | /
3
|
4
|
5

return [3, 4]

分析:

首先笨办法,假设每个点都是root, 然后利用BFS,看那个root到最后一个leaf的高度是多少,如果比目前找到的更小,则更新,如果相同,则把那个点加到list里。

 public List<Integer> findMinHeightTrees(int n, int[][] edges) {
List<Integer> all = new ArrayList<Integer>();
if (n <= ) {
all.add();
return all;
} Map<Integer, List<Integer>> map = new HashMap<>(); for (int i = ; i < n; i++) {
map.put(i, new ArrayList<Integer>());
} for (int[] edge : edges) {
map.get(edge[]).add(edge[]);
map.get(edge[]).add(edge[]);
} int minHeight = Integer.MAX_VALUE;
List<Integer> temp = new ArrayList<>();
for (int i = ; i < n; i++) {
int height = ;
boolean[] visited = new boolean[n];
visited[i] = true;
List<Integer> list = map.get(i);
while (list.size() != ) {
for (Integer k : list) {
if (!visited[k]) {
visited[k] = true;
temp.addAll(map.get(k));
}
}
list = temp;
temp = new ArrayList<>();
height++;
}
if (height < minHeight) {
all.clear();
all.add(i);
minHeight = height;
} else if (height == minHeight) {
all.add(i);
}
}
return all;
}

更好的方法,先构成一棵树,把数的叶子逐层的砍掉(叶子的degree为1),当这棵树只剩下2颗或者不到两颗的节点的时候,就停止。

 public class Solution {
public List<Integer> findMinHeightTrees(int n, int[][] edges) {
List<Integer> leaves = new ArrayList<Integer>();
if (n <= ) {
leaves.add();
return leaves;
} List<Set<Integer>> graph = new ArrayList<>(); for (int i = ; i < n; i++) {
graph.add(new HashSet<Integer>());
} for (int[] edge : edges) {
graph.get(edge[]).add(edge[]);
graph.get(edge[]).add(edge[]);
} for (int i = ; i < n; i++) {
if (graph.get(i).size() == ) {
leaves.add(i);
}
} while (n > ) {
n -= leaves.size();
List<Integer> newLeaves = new ArrayList<>();
for (int leave : leaves) {
for (int newLeaf : graph.get(leave)) {
graph.get(newLeaf).remove(leave);
if (graph.get(newLeaf).size() == ) {
newLeaves.add(newLeaf);
}
}
}
leaves = newLeaves;
} return leaves;
}
}

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