forked from JojoYang666/Leetcode-301-600
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy path_323_NumberofConnectedComponentsinanUndirectedGraph.java
More file actions
73 lines (61 loc) · 2.13 KB
/
_323_NumberofConnectedComponentsinanUndirectedGraph.java
File metadata and controls
73 lines (61 loc) · 2.13 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
package leetcode_1To300;
/**
* 本代码来自 Cspiration,由 @Cspiration 提供
* 题目来源:http://leetcode.com
* - Cspiration 致力于在 CS 领域内帮助中国人找到工作,让更多海外国人受益
* - 现有课程:Leetcode Java 版本视频讲解(1-900题)(上)(中)(下)三部
* - 算法基础知识(上)(下)两部;题型技巧讲解(上)(下)两部
* - 节省刷题时间,效率提高2-3倍,初学者轻松一天10题,入门者轻松一天20题
* - 讲师:Edward Shi
* - 官方网站:https://cspiration.com
* - 版权所有,转发请注明出处
*/
public class _323_NumberofConnectedComponentsinanUndirectedGraph {
/**
* 323. Number of Connected Components in an Undirected Graph
* Given n nodes labeled from 0 to n - 1 and a list of undirected edges (each edge is a pair of nodes),
* write a function to find the number of connected components in an undirected graph.
Example 1:
0 3
| |
1 --- 2 4
Given n = 5 and edges = [[0, 1], [1, 2], [3, 4]], return 2.
Example 2:
0 4
| |
1 --- 2 --- 3
Given n = 5 and edges = [[0, 1], [1, 2], [2, 3], [3, 4]], return 1.
Note:
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.
图 : 点 - 边 = 1
n = 5 4 edges n-- = 1
time : O(edges * nodes)
space : O(n)
* @param n
* @param edges
* @return
*/
public int countComponents(int n, int[][] edges) {
int res = n;
int[] roots = new int[n];
for (int i = 0; i < n; i++) {
roots[i] = -1;
}
for (int[] pair : edges) {
int x = find(roots, pair[0]);
int y = find(roots, pair[1]);
if (x != y) {
roots[x] = y;
res--;
}
}
return res;
}
private int find(int[] roots, int i) {
while (roots[i] != -1) {
i = roots[i];
}
return i;
}
}