Given two words (beginWord and endWord), and a dictionary's word list, find the length of shortest transformation sequence from beginWord to endWord, such that:

  1. Only one letter can be changed at a time.
  2. Each transformed word must exist in the word list. Note that beginWord is not a transformed word.

For example,

Given:
beginWord = "hit"
endWord = "cog"
wordList = ["hot","dot","dog","lot","log","cog"]

As one shortest transformation is "hit" -> "hot" -> "dot" -> "dog" -> "cog",
return its length 5.

Note:

  • Return 0 if there is no such transformation sequence.
  • All words have the same length.
  • All words contain only lowercase alphabetic characters.
  • You may assume no duplicates in the word list.
  • You may assume beginWord and endWord are non-empty and are not the same.

UPDATE (2017/1/20):
The wordList parameter had been changed to a list of strings (instead of a set of strings). Please reload the code definition to get the latest changes.

Code:

 class Solution {
public:
vector<vector<string>> findLadders(string beginWord, string endWord, vector<string>& wordList) {
//1.convert vector to unordered_set
unordered_set<string> wordDict;
for(int i=; i<wordList.size(); i++)
{
wordDict.insert(wordList[i]);
}
if(wordDict.find(endWord) == wordDict.end()) return vector<vector<string>>(); //2.record each node's pre_node from begin to end using bfs strategy
unordered_map<string, vector<string>> preNode;
bfs(preNode, wordDict, beginWord, endWord); //3.search all the road using dfs from end to start
vector<vector<string>> res;
vector<string> temp;
dfs(beginWord, endWord, temp, preNode, res); return res;
} private:
void bfs(unordered_map<string, vector<string>>&preNode,
unordered_set<string>& wordDict, string beginWord, string endWord)
{
queue<string> q;
unordered_set<string> visit;
visit.insert(beginWord);
vector<string> connect;
q.push(beginWord);
while(!q.empty())
{
int len = q.size();
vector<string> tmpVisit;
while(len--)
{
string current = q.front();
q.pop();
isConnect(connect, wordDict, current, endWord, visit);
for(int i=; i<connect.size(); i++)
{
if(visit.find(connect[i]) == visit.end()) // not visited
{
if(preNode[connect[i]].empty())
{
tmpVisit.push_back(connect[i]);
q.push(connect[i]);
}
preNode[connect[i]].push_back(current);
}
}
} //each level
for(int j=; j<tmpVisit.size(); j++)
{
visit.insert(tmpVisit[j]);
}
if(visit.find(endWord) != visit.end())
return;
}
} void isConnect(vector<string>& connect, unordered_set<string>& wordDict,
const string& current, const string& end, unordered_set<string>& visit)
{
connect.clear();
string cur = current;
for(int i=; i<cur.size(); i++)
{
char t = cur[i];
for(char c='a'; c<'z'; c++)
{
if(c == t) continue;
cur[i] = c;
if((wordDict.find(cur) != wordDict.end()) && visit.find(cur) == visit.end())
{
connect.push_back(cur);
}
}
cur[i] = t;
}
} void dfs(const string& beginWord, const string& t, vector<string> tmp,
unordered_map<string, vector<string>>& preNode, vector<vector<string>>& res)
{
if(t == beginWord)
{
tmp.push_back(beginWord);
vector<string> tmpres(tmp.rbegin(), tmp.rend());
res.push_back(tmpres);
return;
}
tmp.push_back(t);
for(int i=; i<preNode[t].size(); i++)
{
dfs(beginWord, preNode[t][i], tmp, preNode, res);
}
}
};

Word Ladder Problem (DFS + BFS)的更多相关文章

  1. [LeetCode] 127. Word Ladder _Medium tag: BFS

    Given two words (beginWord and endWord), and a dictionary's word list, find the length of shortest t ...

  2. 126. Word Ladder II( Queue; BFS)

    Given two words (beginWord and endWord), and a dictionary's word list, find all shortest transformat ...

  3. [LeetCode#128]Word Ladder II

    Problem: Given two words (start and end), and a dictionary, find all shortest transformation sequenc ...

  4. 【题解】【字符串】【BFS】【Leetcode】Word Ladder

    Given two words (start and end), and a dictionary, find the length of shortest transformation sequen ...

  5. Word Ladder(找出start——end的最短长度)——bfs

    Word Ladder Given two words (start and end), and a dictionary, find the length of shortest transform ...

  6. Leetcode之广度优先搜索(BFS)专题-127. 单词接龙(Word Ladder)

    Leetcode之广度优先搜索(BFS)专题-127. 单词接龙(Word Ladder) BFS入门详解:Leetcode之广度优先搜索(BFS)专题-429. N叉树的层序遍历(N-ary Tre ...

  7. Word Ladder系列

    1.Word Ladder 问题描述: 给两个word(beginWord和endWord)和一个字典word list,找出从beginWord到endWord之间的长度最长的一个序列,条件: 1. ...

  8. [LeetCode] Word Ladder 词语阶梯

    Given two words (beginWord and endWord), and a dictionary, find the length of shortest transformatio ...

  9. LeetCode:Word Ladder I II

    其他LeetCode题目欢迎访问:LeetCode结题报告索引 LeetCode:Word Ladder Given two words (start and end), and a dictiona ...

随机推荐

  1. Vuex的第一次接触

    前言:最近在做Vue实现去哪网,想要实现在城市列表页面,点击某个城市的时候,主页的头部的城市会随着改变,就是首页和城市页面有共用的数据要分享,这里使用Vuex 1. Vuex是什么? 是Vue官方推荐 ...

  2. Mysql 关于处理NULL值的相关函数和操作符

    操作符 <=> NULL-safe equal. This operator performs an equality comparison like the = operator, bu ...

  3. 最完整的数据倾斜解决方案(spark)

    一.了解数据倾斜 数据倾斜的原理: 在执行shuffle操作的时候,按照key,来进行values的数据的输出,拉取和聚合.同一个key的values,一定是分配到一个Reduce task进行处理. ...

  4. 初学者:__init__.py文件的作用

    __init__.py 文件的作用及意义 __init__.py文件是一个包必须的文件,即使它是空的,但也是必须的,如果没有这个文件,python将不会把该文件夹当做一个package,而仅仅是一个d ...

  5. POJ-3436:ACM Computer Factory (Dinic最大流)

    题目链接:http://poj.org/problem?id=3436 解题心得: 题目真的是超级复杂,但解出来就是一个网络流,建图稍显复杂.其实提炼出来就是一个工厂n个加工机器,每个机器有一个效率w ...

  6. Java设计模式(1)——创建型模式之简单工厂模式(Simple Factory)

    设计模式系列参考: http://www.cnblogs.com/Coda/p/4279688.html 一.概述 工厂模式主要是为创建对象提供过渡接口,以便将创建对象的具体过程屏蔽隔离起来,达到提高 ...

  7. 20145234黄斐《Java程序设计》第八周学习总结

    教材学习内容总结 第十五章部分 - 通用API 通用API 日志: 日志对信息安全意义重大,审计.取证.入侵检测等都会用到日志信息 日志API Logger: 注意无法使用构造方法生成Logger对象 ...

  8. BZOJ1432_Function_KEY

    题目传送门 找规律. 画一个像这样的图: 不同颜色为不同层,因为函数图像可对称,所以只考虑K<=N/2的情况. 最小为min(K,N-K+1)*2. N=1时特殊考虑,答案为1. code: # ...

  9. 宁波Uber优步司机奖励政策(12月21日到12月27日)

    滴快车单单2.5倍,注册地址:http://www.udache.com/ 如何注册Uber司机(全国版最新最详细注册流程)/月入2万/不用抢单:http://www.cnblogs.com/mfry ...

  10. 【POJ2482】Stars in Your Window

    [POJ2482]Stars in Your Window 题面 vjudge 题解 第一眼还真没发现这题居然™是个扫描线 令点的坐标为\((x,y)\)权值为\(c\),则 若这个点能对结果有\(c ...