Clone an undirected graph. Each node in the graph contains a label and a list of its neighbors.
OJ's undirected graph serialization:
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 #.
- First node is labeled as
0. Connect node0to both nodes1and2. - Second node is labeled as
1. Connect node1to node2. - Third node is labeled as
2. Connect node2to node2(itself), thus forming a self-cycle.
Visually, the graph looks like the following:
1
/ \
/ \
0 --- 2
/ \
\_/
HashMap<Integer,UndirectedGraphNode> hashMap = new HashMap<Integer, UndirectedGraphNode>();
public UndirectedGraphNode cloneGraph(UndirectedGraphNode node) {
if(node==null)return null;
UndirectedGraphNode headGraphNode,tempgGraphNode;
tempgGraphNode = hashMap.get(node.label);
headGraphNode = new UndirectedGraphNode(node.label);
headGraphNode.neighbors = new ArrayList<UndirectedGraphNode>();
hashMap.put(node.label, headGraphNode);
int n = node.neighbors.size();
for(int i=0;i<n;i++){
tempgGraphNode = hashMap.get(node.neighbors.get(i).label);
if(tempgGraphNode!=null){
headGraphNode.neighbors.add(tempgGraphNode);
}
else{
tempgGraphNode = cloneGraph(node.neighbors.get(i));
headGraphNode.neighbors.add(tempgGraphNode);
}
}
return headGraphNode;
}
本文介绍了一种使用深度优先搜索(DFS)和哈希映射来克隆无向图的方法。通过递归地访问每个节点及其邻居,并利用哈希映射记录已访问节点,避免重复克隆。
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