Medium:Clone Graph

本文介绍了一种使用深度优先搜索(DFS)算法克隆无向图的方法。通过递归方式遍历图中的每个节点并复制它们,同时利用哈希映射记录已克隆的节点以避免重复操作。

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Clone Graph

目标:克隆一个无向图
Clone an undirected graph. Each node in the graph contains a label and a list of its neighbors.
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 node 0 to both nodes 1 and 2.
Second node is labeled as 1. Connect node 1 to node 2.
Third node is labeled as 2. Connect node 2 to node 2 (itself), thus forming a self-cycle.

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在solution里添加一个map<UndirectedGraphNode *, UndirectedGraphNode *> m来保存克隆图(Key 为节点,Value 为该节点的邻接节点)。用DFS算法遍历全图,若当前节点已在克隆图中,则返回克隆图中的该节点,否则创立新节点加入克隆图中,并添加其所有邻接节点。
程序如下:
class Solution {  
public:  
    UndirectedGraphNode *cloneGraph(UndirectedGraphNode *node) {  
        if(!node) 
            return NULL;  
        if(m.count(node)) 
            return m[node];  
        UndirectedGraphNode *nodeClone = new UndirectedGraphNode(node->label);
        m[node] = nodeClone;
        for(int i=0;i<node->neighbors.size();i++)  
        {
            UndirectedGraphNode *temp = cloneGraph(node->neighbors[i]);
            if(temp != NULL)
                nodeClone->neighbors.push_back(temp);
        }
        return nodeClone;
    }  
private:  
    map<UndirectedGraphNode *, UndirectedGraphNode *> m;  
};  
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