/**
* public class GraphNode {
int label;
List<GraphNode> neighbors;
GraphNode(int x) { label = x; neighbors = new ArrayList<GraphNode>(); }
}
*/
public class graphTravel {
public static void main(String[] args) {
// TODO Auto-generated method stub
GraphNode graph = new GraphNode(0);
List<GraphNode> neighbors = new ArrayList<GraphNode>();
graph.neighbors = neighbors;
GraphNode g1 = new GraphNode(1);
GraphNode g2 = new GraphNode(2);
GraphNode g3 = new GraphNode(3);
neighbors.add(g1);
neighbors.add(g2);
neighbors.add(g3);
List<GraphNode> neighbors1 = new ArrayList<GraphNode>();
g1.neighbors=neighbors1;
neighbors1.add(new GraphNode(4));
neighbors1.add(new GraphNode(5));
Map<GraphNode,Boolean> map = new HashMap<GraphNode,Boolean>();
System.out.println("深度优先遍历");
DepthFirstTravel(graph,map);
System.out.println("广度优先遍历");
BroadFirstTravel(graph);
}
/**
* 深度优先遍历,递归实现,需map判断是否访问过
*/
public static void DepthFirstTravel(GraphNode graph,Map<GraphNode,Boolean> map){
if(graph == null)return;
System.out.println(graph.label);
map.put(graph, true);
List<GraphNode> neighbors = graph.neighbors;
for(GraphNode n:neighbors){
if(!map.containsKey(n)){
DepthFirstTravel(n,map);
}
}
}
/**
* 广度遍历,用队列实现,需要布尔map判断是否访问过
*/
public static void BroadFirstTravel(GraphNode graph){
if(graph == null)return;
Map<GraphNode,Boolean> map = new HashMap<GraphNode,Boolean>();
Queue<GraphNode> queue = new ArrayDeque<GraphNode>();
queue.offer(graph);
map.put(graph, true);
GraphNode n = null;
while(!queue.isEmpty()){
n = queue.poll();//出队
if(n!=null && !map.containsKey(n)){
System.out.println(n.label);
map.put(n, true);
for(GraphNode ch:n.neighbors){
queue.offer(ch);//入队
}
}
}
}
}
图的深度遍历和广度遍历(用邻接表的方式)
原文作者:数据结构之图
原文地址: https://blog.csdn.net/okiwilldoit/article/details/40654351
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/okiwilldoit/article/details/40654351
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。