[Swift]LeetCode310. 最小高度树 | Minimum Height Trees

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For an 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.node

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).git

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.github

Example 1 :微信

Input: , 

        0
        |
        1
       / \
      2   3 

Output: 
n = 4edges = [[1, 0], [1, 2], [1, 3]][1]

Example 2 :app

Input: , 

     0  1  2
      \ | /
        3
        |
        4
        |
        5 

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

Note:函数

  • 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.”
  • The height of a rooted tree is the number of edges on the longest downward path between the root and a leaf.

对于一个具备树特征的无向图,咱们可选择任何一个节点做为根。图所以能够成为树,在全部可能的树中,具备最小高度的树被称为最小高度树。给出这样的一个图,写出一个函数找到全部的最小高度树并返回他们的根节点。spa

格式code

该图包含 n 个节点,标记为 0 到 n - 1。给定数字 n 和一个无向边 edges 列表(每个边都是一对标签)。orm

你能够假设没有重复的边会出如今 edges 中。因为全部的边都是无向边, [0, 1]和 [1, 0] 是相同的,所以不会同时出如今 edges 里。

示例 1:

输入: , 

        0
        |
        1
       / \
      2   3 

输出: 
n = 4edges = [[1, 0], [1, 2], [1, 3]][1]

示例 2:

输入: , 

     0  1  2
      \ | /
        3
        |
        4
        |
        5 

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

说明:

  •  根据树的定义,树是一个无向图,其中任何两个顶点只经过一条路径链接。 换句话说,一个任何没有简单环路的连通图都是一棵树。
  • 树的高度是指根节点和叶子节点之间最长向下路径上边的数量。

1724 ms

 1 class Solution {
 2     func findMinHeightTrees(_ n: Int, _ edges: [[Int]]) -> [Int]{
 3         var graph = [Int : Set<Int>]()
 4         for edge in edges {
 5             if graph[edge[0]] == nil {
 6                 graph[edge[0]] = [edge[1]]
 7             }else {
 8                 graph[edge[0]]!.insert(edge[1])
 9             }
10             if graph[edge[1]] == nil {
11                 graph[edge[1]] = [edge[0]]
12             }else {
13                 graph[edge[1]]!.insert(edge[0])
14             }
15             
16         }
17         while graph.count > 2 {
18             let list = graph.filter{$1.count == 1}
19             for dict in list {
20                 graph[dict.value.first!]?.remove(dict.key)
21                 graph[dict.key] = nil
22             }
23         }
24         
25         let res = Array(graph.keys)
26         if res.isEmpty {
27             return [0]
28         }
29         return res
30     }
31 }
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