`

图的遍历(广度和深度)

    博客分类:
  • java
阅读更多
//深度优先遍历****************************************************
 class Graph1 {  //以邻接矩阵存储的图类
	
 protected int n;      //图的节点个数
 protected int mat[][];   // 二维数组存储图的邻接矩阵
 protected int visited[]; //访问标记数组
 
	 public Graph1(int m1[][]){
		 n = m1.length;
		 mat = new int [n][n];
		 System.arraycopy(m1, 0, mat, 0, n);  //System类方法,复制数组
		 visited= new int [n];
	 }
	 public Graph1(){
	 }
 public void depthFirstSearch(){  //图的深度优先遍历
	 System.out.println("深度优先遍历Depth first search:");
	 for(int k=1;k<=n;k++){
		 depthfs(k);
		 System.out.println();
		 unvisited();
	 }
	 }
	private void unvisited() {
	 int i;
		for(i = 0;i<visited.length;i++){
			visited[i]=0;
		}
	}
	private void depthfs(int k) {    //从节点k开始的深度优先遍历
		 int i,j=0;
		 System.out.print(" v"+k+"->");
		 i = k - 1;
		 visited[i]=1;
		 while(j<n){
			 if(mat[i][j]==1 && visited[j]==0){
				 depthfs(j+1);
			 }else {
				 j++;
			 }
		 }
	}
}
 public class testGraph1{
	public static void main(String ag[]){
		int mat[][]= {{0,1,0,0},{0,0,1,1},{0,0,0,0},{1,0,1,0}};
		Graph1 g1 = new Graph1(mat);
		g1.depthFirstSearch();
	}
}

//广度优先遍历*****************************************************
public class OnelinkNode {      //单向链表的节点结构
   public int data;
   public OnelinkNode next;
   public OnelinkNode(int k){   //构造值为k的节点
	   data = k;
	   next = null;
   }
   public OnelinkNode(){
	   this(0);
   }  
}

public class Graph2 extends Graph1 {             //以邻接表存储的图类
   OnelinkNode table[];                //图的邻接表
   
   public Graph2(int mat[][]){               //以邻接矩阵的形式建立图的邻接表
	 n = mat.length;                // 继承Graph1类的成员
	 table  = new OnelinkNode[n+1];           //建立节点表,多一个元素
	 OnelinkNode p = null,  q;
	 int i ,j ;
	 for(i = 1; i<= n;i++){                    //table[0]不用   节点序号i与table中的 下标一致
		 table[i] = new  OnelinkNode(i);          //创建i在节点表中的元素
		 p = table[i];   //建立节点i的出边表
		 for(j = 1; j<=n;j++){      //查找与i相邻的其他节点j
			 if(mat[i-1][j-1]==1){
				 q = new OnelinkNode(j);
				 p.next = q;
				  p = q;
			 }
		 }
		 visited = new int [n +1];
	 }
   }
   public Graph2(){}
   
   public void output(){
	   OnelinkNode p;
	   System.out.println("邻接表table:");
	   for(int i=0;i<table.length;i++){
		   System.out.print("table["+i+"]=");
		   if(table[i]!=null){
			   System.out.print("v"+table[i].data);
			   p = table[i].next;
			   while(p != null){
				   System.out.print("->v"+p.data);
				   p = p.next;
			   }
		   }
		   System.out.println(" null");
	   }
	   
   }

   
  /* public void depthfs(int k){
	   int i , j = 0;
	   OnelinkNode p ;
	   System.out.print("  v" +k+" ->");
	   i = k;
	   visited[i]=1;
	   if(table[i]!=null){
		   p = table[i].next;
		   while(p !=null){
			   j = p.data;
			   if(visited[j]==0){
				   depthfs(j);
			   }else{
			   p = table[i].next;
			   }
		   }
	   }
   }
   */
   public static void main(String args[]){
	   int mat[][]=  {{0,1,0,0},{0,0,1,1},{0,0,0,0},{1,0,1,0}};  
	   Graph2 g2 = new Graph2(mat);                    //现在的g2已经是一个邻接表了不是邻接矩阵了
	   g2.output();
	   
	   
   }
}
//邻接表table:
//table[0]= null
//table[1]=v1->2->4 null
//table[2]=v2->1->3->4 null
//table[3]=v3->2->4 null
//table[4]=v4->1->2->3 null



分享到:
评论

相关推荐

Global site tag (gtag.js) - Google Analytics