图的深度优先遍历 邻接表(边结点存在列表中)

8.3.1深度优先搜索遍历

 

  图的深度优先搜索遍历类似于二叉树的深度优先搜索遍历。其基本思想如下:假定以图中某个顶点Vi为出发点,首先访问出发点,然后选择一个Vi的未访问过的邻接点Vj,以Vj为新的出发点继续进行深度优先搜索,直至图中所有顶点都被访问过。显然,这是一个递归的搜索过程。

 

  现以图8.15为例说明深度优先搜索过程。假定V1是出发点,首先访问V1。因V1有两个邻接点V2、V3均末被访问过,可以选择V2作为新的出发点,访问V2之后,再找V2的末访问过的邻接点。同V2邻接的有V1、V4和V5,其中V1已被访问过,而V4、V5尚未被访问过,可以选择V4作为新的出发点。重复上述搜索过程,继续依次访问V8、V5 。访问V5之后,由于与V5相邻的顶点均已被访问过,搜索退回到V8,访问V8的另一个邻接点V6。接下来依次访问V3和V7,最后得到的的顶点的访问序列为:V1 → V2 → V4 → V8 → V5 → V6 → V3 → V7。

《图的深度优先遍历 邻接表(边结点存在列表中)》

 

package abc.graph;

import java.util.ArrayList;
import java.util.List;

public class AlGraph3 {
	
	List<Node> vertexes = new ArrayList<Node>();
	
	void addVertex(Node vertex) {
		vertexes.add(vertex);
	}
	
	void addArc(Node head, Node tail) {
		head.addArc(tail);
	}
	
	public void DFSTraverse() {
		InitVisited();
		DFS(vertexes.get(0));
	}
	private void DFS(Node node) {
		node.isVisited = true;
		System.out.print(node.name);
		System.out.print(" -> ");
		
		for(Node tmp : node.adjs) {
			if(tmp.isVisited != true)
				DFS(tmp);
		}
	}
	
	private void InitVisited() {
		for(Node node : vertexes) {
			node.isVisited = false;
		}
	}
	
	static AlGraph3 createAlGraph() {
		AlGraph3 alGraph = new AlGraph3();
		
		Node V1 = new Node("V1");
		Node V2 = new Node("V2");
		Node V3 = new Node("V3");
		Node V4 = new Node("V4");
		Node V5 = new Node("V5");
		Node V6 = new Node("V6");
		Node V7 = new Node("V7");
		Node V8 = new Node("V8");
		
		
		alGraph.addVertex(V1);
		alGraph.addVertex(V2);
		alGraph.addVertex(V3);
		alGraph.addVertex(V4);
		alGraph.addVertex(V5);
		alGraph.addVertex(V6);
		alGraph.addVertex(V7);
		alGraph.addVertex(V8);
		
		alGraph.addArc(V1, V2);			alGraph.addArc(V1, V3);
		alGraph.addArc(V2, V1);			alGraph.addArc(V2, V4);	alGraph.addArc(V2, V5);
		alGraph.addArc(V3, V1);			alGraph.addArc(V3, V6);	alGraph.addArc(V3, V7);
		alGraph.addArc(V4, V2);			alGraph.addArc(V4, V8);
		alGraph.addArc(V5, V2);			alGraph.addArc(V5, V8);
		alGraph.addArc(V6, V3);			alGraph.addArc(V6, V8);
		alGraph.addArc(V7, V3);			alGraph.addArc(V7, V8);
		alGraph.addArc(V8, V4);			alGraph.addArc(V8, V5);	alGraph.addArc(V8, V6);	alGraph.addArc(V8, V7);
		
		return alGraph;
	}
	
	void print() {
		for(Node head : vertexes) {
			System.out.print(head.name);
			for(Node arc : head.adjs) {
				System.out.print(" -> ");
				System.out.print(arc.name);
			}
			System.out.println();
		}
	}

	public static void main(String[] args) {
		AlGraph3.createAlGraph().print();
		System.out.println("\nAlGraph DFSTraverse !!");
		AlGraph3.createAlGraph().DFSTraverse();

	}
}

class Node {
	String name;
	boolean isVisited;
	List<Node> adjs = new ArrayList<Node>();
	
	Node(String name) {
		this.name = name;
	}
	
	void addArc(Node node) {
		adjs.add(node);
	}
}

 

输出结果 写道 V1 -> V2 -> V3

V2 -> V1 -> V4 -> V5

V3 -> V1 -> V6 -> V7

V4 -> V2 -> V8

V5 -> V2 -> V8

V6 -> V3 -> V8

V7 -> V3 -> V8

V8 -> V4 -> V5 -> V6 -> V7

AlGraph DFSTraverse !!

V1 -> V2 -> V4 -> V8 -> V5 -> V6 -> V3 -> V7 ->

 

    原文作者:数据结构之图
    原文地址: https://blog.csdn.net/iteye_7333/article/details/82582684
    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。
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