/* // Definition for a Node. class Node { public: int val; vector<Node*> neighbors; Node() {} Node(int _val, vector<Node*> _neighbors) { val = _val; neighbors = _neighbors; } }; */ //BFS class Solution { public: Node* cloneGraph(Node* node) { if(node == NULL) return NULL; //use bfs to get all nodes vector<Node*> nodes = bfs(node); unordered_map<Node*, Node*> mp; // copy nodes for(auto nod : nodes){ Node* clone=new Node(nod->val); // Node* clone=new Node(nod->val,vector<Node*>()); mp[nod] = clone; } //copy neighbors/edges for(auto nod : nodes){ Node* newNode = mp[nod]; for(auto neighbor : nod->neighbors){ Node* new_neigh = mp[neighbor]; newNode->neighbors.push_back(new_neigh); } } return mp[node]; } vector<Node*> bfs(Node* node){ // use queue to implement bfs unordered_set<Node*> visited; queue<Node*> q; vector<Node*> nodes; q.push(node); visited.insert(node); nodes.push_back(node); while(!q.empty()){ Node* cur = q.front(); q.pop(); for(auto neigh : cur->neighbors){ //已经遍历过 if(visited.find(neigh) != visited.end()) continue; //未遍历过 q.push(neigh); visited.insert(neigh); nodes.push_back(neigh); } } return nodes; } };
BFS 时间复杂度:O(边数 + 点数)
参考链接:
(word ladder)
https://www.youtube.com/watch?v=70l1rGhJ-8A&list=PLgkTb_uYkq5f6mI52NZv68QTb6Ui7omWX&index=9
(word ladder II)
https://www.youtube.com/watch?v=X84Huebakeg
用BFS来创建一个从startWord 到 endWord 有最短路径的图;再使用DFS来遍历这个图,求出所有的路径。如下图:
若在wordList找到了变换后的单词,不能像 word Ladder一样,将这个单词从wordList中删除,因为上一题是找出一条路径即可;而这道题需要找出所有路径,如下图,tex被找到之后不能删除,因为ted还需要用它。故这一层可以有重复的。