import java.util.LinkedList;
import java.util.Queue;
public class Graph {
/**
* @PLA 图的遍历
*/
private int num = 9;// 结点数
private boolean[] flag;// 存储结点是否遍历过
private String[] vertexs = { "A", "B", "C", "D", "E", "F", "G", "H", "I" };// 结点
private int[][] edges = { // 邻接矩阵存储边
{ 0, 1, 0, 0, 0, 1, 1, 0, 0 }, { 1, 0, 1, 0, 0, 0, 1, 0, 1 },
{ 0, 1, 0, 1, 0, 0, 0, 0, 1 }, { 0, 0, 1, 0, 1, 0, 1, 1, 1 },
{ 0, 0, 0, 1, 0, 1, 0, 1, 0 }, { 1, 0, 0, 0, 1, 0, 1, 0, 0 },
{ 0, 1, 0, 1, 0, 1, 0, 1, 0 }, { 0, 0, 0, 1, 1, 0, 1, 0, 0 },
{ 0, 1, 1, 1, 0, 0, 0, 0, 0 } };
// 深度优先遍历,默认选取A为开始遍历结点
void DFSTraverse() {
flag = new boolean[num];
for (int i = 0; i < num; i++) {
if (flag[i] == false) {
DFST(i);
}
}
}
private void DFST(int i) {
// TODO Auto-generated method stub
System.out.println(vertexs[i] + " ");
flag[i] = true;
for (int j = i; j < num; j++) {
if (flag[j] == false && edges[i][j] == 1) {
DFST(j);
}
}
}
// 广度优先遍历
void BFSTraverse() {
flag = new boolean[num];
Queue<Integer> queue = new LinkedList<Integer>();
for (int i = 0; i < num; i++) {
if (flag[i] == false) {
System.out.println(vertexs[i] + " ");
flag[i] = true;
queue.add(i);
}
while (!queue.isEmpty()) {
int j = queue.poll();
for (int k = 0; k < num; k++) {
if (edges[j][k] == 1 && flag[k] == false) {
System.out.println(vertexs[k] + " ");
flag[k] = true;
queue.add(k);
}
}
}
}
}
public static void main(String[] args) {
// TODO Auto-generated method stub
Graph graph = new Graph();
System.out.println("图的深度优先遍历:");
graph.DFSTraverse();
System.out.println("图的广度优先遍历");
graph.BFSTraverse();
}
}
图的深度优先与广度优先遍历
原文作者:数据结构之图
原文地址: https://blog.csdn.net/Army_War/article/details/38067431
本文转自网络文章,转载此文章仅为分享知识,如有侵权,请联系博主进行删除。
原文地址: https://blog.csdn.net/Army_War/article/details/38067431
本文转自网络文章,转载此文章仅为分享知识,如有侵权,请联系博主进行删除。