Java实现基于邻接表的图的深度和广度遍历

Java实现基于邻接表的图的深度和广度遍历

Graph类：

package graph1;

import java.util.LinkedList;

import graph.Graph.edgeNode;

public class Graph {

	class EdgeNode{
			int adjvex;
			EdgeNode nextEdge;
	}
	
	class VexNode{
		int data;
		EdgeNode firstEdge;
		boolean isVisted;
		public boolean isVisted() {
			return isVisted;
		}
		public void setVisted(boolean isVisted) {
			this.isVisted = isVisted;
		}
		
	}

	VexNode[] vexsarray ;
	int[] visited = new int[100];
	boolean[] isVisited = new boolean[100];
	
	public void linkLast(EdgeNode target,EdgeNode node) {
		while (target.nextEdge!=null) {
			target=target.nextEdge;
		}
		target.nextEdge=node;
	}
	
	public int getPosition(int data) {
			for(int i=0;i<vexsarray.length;i++) {
				if (data==vexsarray[i].data) {
						return i;
				}
			}
				return -1;
	}
	
	
	public void buildGraph(int[] vexs,int[][] edges ) {
		int vLen = vexs.length;
		int eLen = edges.length;
		vexsarray = new VexNode[vLen];
		
		for(int i=0;i<vLen;i++) {
			vexsarray[i] = new VexNode();
			vexsarray[i].data = vexs[i];
			vexsarray[i].firstEdge = null;
		}
		
		for(int i=0;i<eLen;i++) {
			
			int a = edges[i][0];
			int b = edges[i][1];
			
			int start = getPosition(a);
			int end = getPosition(b);
			
			EdgeNode edgeNode = new EdgeNode();
			edgeNode.adjvex = end;
			
			if (vexsarray[start].firstEdge == null) {
				vexsarray[start].firstEdge = edgeNode;
			} else {
				linkLast(vexsarray[start].firstEdge,edgeNode);
			}
		}
	}
	
	
	public void printGraph() {
		for(int i=0;i<vexsarray.length;i++) {
			System.out.printf("%d--",vexsarray[i].data);
			EdgeNode node = vexsarray[i].firstEdge;
			while (node!=null) {
				System.out.printf("%d--",vexsarray[node.adjvex].data);
				node = node.nextEdge;
			}
			System.out.println("\n");
		}
	}
	
	/*
	 * 深度遍历
	 */
	
	public void DFS(int vex) {
		
			int w;
			EdgeNode node;
			visited[vex] = 1;
			System.out.println(vex);
			node=vexsarray[getPosition(vex)].firstEdge;
			while (node!=null) {
				w=node.adjvex;
				if (visited[vexsarray[w].data]==0) {
					DFS(vexsarray[w].data);
				}
				node=node.nextEdge;
			}
	}
	
	/*
	 * 广度遍历
	 */
	public void BFS(int vex) {
		VexNode start = vexsarray[getPosition(vex)];
		LinkedList<VexNode> queue = new  LinkedList<>();
		start.setVisted(true);
		queue.add(start);
		System.out.println(start.data);
		VexNode currVex;
		while (!queue.isEmpty()) {
			currVex=queue.remove(0);
			EdgeNode node = currVex.firstEdge;
			while (node!=null) {
				if (vexsarray[node.adjvex].isVisted==false) {
					System.out.println(vexsarray[node.adjvex].data);
					vexsarray[node.adjvex].setVisted(true);
					queue.add(vexsarray[node.adjvex]);
				}
				node=node.nextEdge;
			}
		}
		
		
		
	}
	
}

测试类：

package graph1;

import javax.swing.text.GapContent;

public class Test {

	public static void main(String[] args) {
		
		int[] vexs = {0,1,2,3,4};
		int[][] edges = {
				{0,1},
				{0,3},
				{1,0},
				{1,2},
				{2,1},
				{2,3},
				{2,4},
				{3,0},
				{3,2},
				{3,4},
				{4,2},
				{4,3},
				
		};
		Graph graph = new Graph();
		graph.buildGraph(vexs, edges);
		graph.printGraph();
		graph.DFS(0);
		System.out.println("--------");

		graph.BFS(0);
	}

}