目录
1 问题描述
引用自百度百科:
如果两个顶点可以相互通达,则称两个顶点强连通(strongly connected)。如果有向图G的每两个顶点都强连通,称G是一个强连通图。有向图的极大强连通子图,称为强连通分量(strongly connected components)。
当DFN(u)=Low(u)时,以u为根的搜索子树上所有节点是一个强连通分量。
2 解决方案
下面代码所使用图:
具体代码如下:
package com.liuzhen.practice; import java.util.ArrayList;
import java.util.Scanner;
import java.util.Stack; public class Main {
public static int MAX = 100;
public static int count; //用于对图中顶点遍历的次序进行计数
public static int n;
public static int[] DFN = new int[MAX]; //记录图中每个节点的DFS遍历的时间戳(即次序)
public static int[] Low = new int[MAX]; //记录每个顶点的所在树的根节点编号
public static boolean[] inStack = new boolean[MAX]; //用于记录当前节点是否在栈中
public static Stack<Integer> stack; public void init(int n) {
count = 0;
stack = new Stack<Integer>();
for(int i = 0;i <= n;i++) {
DFN[i] = -1; //代表顶点i未被遍历
Low[i] = -1;
inStack[i] = false;
}
} static class edge {
public int a; //边的起点
public int b; //边的终点 edge(int a, int b) {
this.a = a;
this.b = b;
}
} public void dfs(ArrayList<edge>[] map, int start) {
DFN[start] = count++;
Low[start] = DFN[start];
stack.push(start);
inStack[start] = true;
int j = start;
for(int i = 0;i < map[start].size();i++) {
j = map[start].get(i).b;
if(DFN[j] == -1) { //顶点j未被遍历
dfs(map, j);
Low[start] = Math.min(Low[start], Low[j]);
} else if(inStack[j]) {
Low[start] = Math.min(Low[start], DFN[j]);
}
}
if(DFN[start] == Low[start]) {
System.out.print("强连通分量:");
do {
j = stack.pop();
System.out.print(j+" ");
inStack[j] = false;
} while(start != j);
System.out.println();
}
return;
} public static void main(String[] args) {
Main test = new Main();
Scanner in = new Scanner(System.in);
n = in.nextInt();
test.init(n);
int k = in.nextInt(); //有向图的边数目
@SuppressWarnings("unchecked")
ArrayList<edge>[] map = new ArrayList[n + 1];
for(int i = 0;i <= n;i++)
map[i] = new ArrayList<edge>();
in.nextLine();
for(int i = 0;i < k;i++) {
int a = in.nextInt();
int b = in.nextInt();
map[a].add(new edge(a, b));
}
test.dfs(map, 1);
}
}
运行结果:
6
8
1 2
1 3
2 4
3 4
3 5
4 1
4 6
5 6
强连通分量:6
强连通分量:5
强连通分量:3 4 2 1
参考资料: