133. Clone Graph
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- 题目描述
- 题意分析
- 实现
题目描述
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 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.
Visually, the graph looks like the following:
1 / \ / \0 --- 2 / \ \_/
题意分析
克隆一个图
每次添加一个节点, 并且保存他的邻居信息.
其中一个难点就是邻居可能已经出现过,你只要把他的指针加到邻居集合中即可,也有可能这个结点还没出现过,因此你需要新建一个这个结点,因此我们需要一个hash表来对结点做一一映射.
本题有两种方法来做,广度搜索BFS和深度搜索DFS.
我选择了DFS,更简洁.
参考了别人的更优雅的代码, 改进了自己的代码
实现
/** * Definition for undirected graph. * struct UndirectedGraphNode { * int label; * vector<UndirectedGraphNode *> neighbors; * UndirectedGraphNode(int x) : label(x) {}; * }; */class Solution { public: UndirectedGraphNode *cloneGraph(UndirectedGraphNode *node) { if(!node) return NULL; // empty node if(hash.count(node)) return hash[node]; // the node exists hash[node] = new UndirectedGraphNode(node->label); // create the node for(auto neighbor: node->neighbors) // add neighbors hash[node]->neighbors.push_back(cloneGraph(neighbor)); return hash[node]; } private: unordered_map<UndirectedGraphNode *, UndirectedGraphNode *> hash; };
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