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]
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.
題意解析:
題目大概就是告訴你有一個無向圖。你可以選取其中一個節點作爲根節點來生成樹。現在要求生成的樹的高度最小,給出最小高度樹的根節點。
看到這道題,首先想到的應該是遍歷每個節點,看看誰當根高度最小。當然這是不可能的,因爲複雜度想想就很高,所以我們反過來,從葉子入手。每次去掉一圈葉子節點,最後剩下的當根就是高度最小樹。這個答案不是1個就是2個,可以試着畫圖看看,代碼如下:
public class Solution {
public List<Integer> findMinHeightTrees(int n, int[][] edges) {
List<Integer> leaves = new LinkedList();
if(n == 0){
return leaves;
}
if(n == 1){
leaves.add(0);
return leaves;
}
HashSet<Integer>[] graph = new HashSet[n];
for(int i = 0; i < n; i++){
graph[i] = new HashSet();
}
for(int x[] : edges){
graph[x[0]].add(x[1]);
graph[x[1]].add(x[0]);
}
for(int i = 0; i < n; i++){
if(graph[i].size() == 1){
leaves.add(i);
}
}
while(n > 2){
List<Integer> newLeaves = new LinkedList();
for(int x : leaves){
for(int y : graph[x]){
graph[x].remove(y);
graph[y].remove(x);
n--;
if(graph[y].size() == 1){
newLeaves.add(y);
}
}
}
leaves = newLeaves;
}
return leaves;
}
}
這裏要注意一下。使用LinkedList比ArrayList快,因爲LinkedList插入快讀取慢,而ArrayList正好相反,這道題更適合使用LinkedList