Clone an undirected graph. Each node in the graph contains a label
and a list of its neighbors
.
Nodes are labeled uniquely.
We use#
as a separator for each node, and ,
as
a separator for node label and each neighbor of the node.
As an example, consider the serialized graph {0,1,2#1,2#2,2}
.
The graph has a total of three nodes, and therefore contains three parts as separated by #
.
0
. Connect node 0
to
both nodes 1
and 2
.1
. Connect node 1
to
node 2
.2
. Connect node 2
to
node 2
(itself), thus forming a self-cycle.Visually, the graph looks like the following:
1
/ / 0 --- 2
/ \_/
克隆无向图。图中的每一个节点包含一个label
和 一组neighbors
.
本题中的无向图的定义为:
每个节点都是唯一标记的。
我们通过#
来划分每一个节点
,
通过,来划分节点标记和节点的每一个邻居。
举个例子,给定一个图{0,1,2#1,2#2,2}
.
这个图中共3个节点,因此包含了通过#
划分的三个部分
.
1.第一个节点被标记为 0.连接节点0和节点1
and 2
.
2.第二个节点被标记为 1.将节点1和 节点2相连接.
3.第三个节点被标记为 2. 将节点2和节点2(它自身)想连接,这样就形成了自环.
这个图就如下面所示:
1
/ / 0 --- 2
/ \_/
* 共两种方法,DFS--递归, BFS--队列
* 拷贝方法是用用HashMap,key存原始值,value存copy的值,用DFS或者BFS方法遍历帮助拷贝neighbors的值。
* 但这里有个问题,在clone一个节点时我们需要clone它的neighbors,而邻居节点有的已经存在,有的未存在,如何进行区分?
* 这里我们使用Map来进行区分,Map的key值为原来的node,value为新clone的node,当发现一个node未在map中时说明这个node还未被clone,
/** * Definition for undirected graph. * class UndirectedGraphNode * { * int label; * List<UndirectedGraphNode> neighbors; * UndirectedGraphNode(int x) { label = x; neighbors = new ArrayList<UndirectedGraphNode>(); } * }; */
方法一:广度优先搜索BFS 利用队列
public class Solution { public UndirectedGraphNode cloneGraph(UndirectedGraphNode node) { if(node == null) return null; HashMap<UndirectedGraphNode, UndirectedGraphNode> hm = new HashMap<UndirectedGraphNode, UndirectedGraphNode>(); LinkedList<UndirectedGraphNode> queue = new LinkedList<UndirectedGraphNode>(); UndirectedGraphNode head = new UndirectedGraphNode(node.label); hm.put(node, head);//key存原始值,value存copy的值 queue.add(node); while(!queue.isEmpty()) { UndirectedGraphNode curnode = queue.poll(); for(UndirectedGraphNode aneighbor: curnode.neighbors)//check each neighbor { if(!hm.containsKey(aneighbor))//if not visited,then add to queue { queue.add(aneighbor); UndirectedGraphNode newneighbor = new UndirectedGraphNode(aneighbor.label); hm.put(aneighbor, newneighbor); } hm.get(curnode).neighbors.add(hm.get(aneighbor));//head.neighbors.add(newneightbor) } } return head; } }
public class Solution { public UndirectedGraphNode cloneGraph(UndirectedGraphNode node) { if(node == null) return null; HashMap<UndirectedGraphNode, UndirectedGraphNode> hm = new HashMap<UndirectedGraphNode, UndirectedGraphNode>(); UndirectedGraphNode head = new UndirectedGraphNode(node.label);//初始化话节点时没有邻接节点 hm.put(node, head);//key存原始值,value存copy的值 DFS(hm, node);//DFS return head; } public void DFS(HashMap<UndirectedGraphNode, UndirectedGraphNode> hm, UndirectedGraphNode node) { if(node == null) return; for(UndirectedGraphNode aneighbor: node.neighbors) { if(!hm.containsKey(aneighbor)) { UndirectedGraphNode newneighbor = new UndirectedGraphNode(aneighbor.label); hm.put(aneighbor, newneighbor); DFS(hm, aneighbor);//DFS } hm.get(node).neighbors.add(hm.get(aneighbor));//对该节点拷贝neighbors的值。 } } }
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原文地址:http://blog.csdn.net/evan123mg/article/details/47187775