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. JSP/Servlet开发——第七章 Servel基础

    1.Servlet简介: ●Servlet是一个符合特定规范的 JAVA 程序 , 是一个基于JAVA技术的Web组件. ●Servlet允许在服务器端,由Servlet容器所管理,用于处理客户端请求 ...

  2. 用sqldeveloper连接数据库

    用sql developer连接sqlserver,连接窗口默认没有sqlsever页签,需要配置数据库驱动: 具体步骤: 1.工具--首选项--数据库--第三方JDBC驱动

  3. PHP使用阿里大鱼发送短信验证

    目前,基本上所有的网站注册都要求手机绑定,并通过下发短信验证码方式验证手机的真实性,提高了用户的真实性.但是一般企业单独申请短信行业通道都比较困难,因此选择一家信誉好,稳定性.及时性强的第三方短信通道 ...

  4. Flink实例-Wordcount详细步骤

    link实例之Wordcount详细步骤 1.我的IDE是IntelliJ IDEA.在官网上https://www.jetbrains.com/idea/下载最新版2018.2的IDEA,如下图.破 ...

  5. Python学习 :json、pickle&shelve 模块

    数据交换格式 json 模块 json (JavaScript Object Notation)是一种轻量级的数据交换语言,以文字为基础,且易于让人阅读.尽管 json 是JavaScript的一个子 ...

  6. kafka初步学习

    消息系统 什么是消息系统? 消息系统负责将数据从一个应用程序传输到另一个应用程序,因此应用程序可以专注于数据,但不担心如何共享它.分布式消息传递给予可靠消息队列的概念.消息在客户端应用程序和消息传递系 ...

  7. cocos2d中锚点概念

    这两天看了下锚点的概念. /** * Sets the anchor point in percent. * * anchorPoint is the point around which all t ...

  8. Java基础——网络编程

    一.网络编程概述 概述: Java是 Internet 上的语言,它从语言级上提供了对网络应用程序的支持,程序员能够很容易开发常见的网络应用程序. Java提供的网络类库,可以实现无痛的网络连接,联网 ...

  9. java String matches 正则表达

    package test; /** * 在String的matches()方法,split()方法中使用正则表达式. * @author fhd001 */ public class RegexTes ...

  10. SpringBoot学习:获取yml和properties配置文件的内容

    项目下载地址:http://download.csdn.net/detail/aqsunkai/9805821 (一)yml配置文件: pom.xml加入依赖: <!-- 支持 @Configu ...