[LeetCode] 126. Word Ladder II 词语阶梯之二
Given two words (beginWord and endWord), and a dictionary's word list, find all shortest transformation sequence(s) from beginWord to endWord, such that:
- Only one letter can be changed at a time
- Each transformed word must exist in the word list. Note that beginWord is not a transformed word.
Note:
- Return an empty list 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.
Example 1:
Input:
beginWord = "hit",
endWord = "cog",
wordList = ["hot","dot","dog","lot","log","cog"] Output:
[
["hit","hot","dot","dog","cog"],
["hit","hot","lot","log","cog"]
]
Example 2:
Input:
beginWord = "hit"
endWord = "cog"
wordList = ["hot","dot","dog","lot","log"] Output: [] Explanation: The endWord "cog" is not in wordList, therefore no possible transformation.
个人感觉这道题是相当有难度的一道题,它比之前那道 Word Ladder 要复杂很多,全场第四低的通过率 12.9% 正说明了这道题的难度,博主也是研究了网上别人的解法很久才看懂,然后照葫芦画瓢的写了出来,下面这种解法的核心思想是 BFS,大概思路如下:目的是找出所有的路径,这里建立一个路径集 paths,用以保存所有路径,然后是起始路径p,在p中先把起始单词放进去。然后定义两个整型变量 level,和 minLevel,其中 level 是记录循环中当前路径的长度,minLevel 是记录最短路径的长度,这样的好处是,如果某条路径的长度超过了已有的最短路径的长度,那么舍弃,这样会提高运行速度,相当于一种剪枝。还要定义一个 HashSet 变量 words,用来记录已经循环过的路径中的词,然后就是 BFS 的核心了,循环路径集 paths 里的内容,取出队首路径,如果该路径长度大于 level,说明字典中的有些词已经存入路径了,如果在路径中重复出现,则肯定不是最短路径,所以需要在字典中将这些词删去,然后将 words 清空,对循环对剪枝处理。然后取出当前路径的最后一个词,对每个字母进行替换并在字典中查找是否存在替换后的新词,这个过程在之前那道 Word Ladder 里面也有。如果替换后的新词在字典中存在,将其加入 words 中,并在原有路径的基础上加上这个新词生成一条新路径,如果这个新词就是结束词,则此新路径为一条完整的路径,加入结果中,并更新 minLevel,若不是结束词,则将新路径加入路径集中继续循环。写了这么多,不知道你看晕了没有,还是看代码吧,这个最有效:
class Solution {
public:
vector<vector<string>> findLadders(string beginWord, string endWord, vector<string>& wordList) {
vector<vector<string>> res;
unordered_set<string> dict(wordList.begin(), wordList.end());
vector<string> p{beginWord};
queue<vector<string>> paths;
paths.push(p);
int level = , minLevel = INT_MAX;
unordered_set<string> words;
while (!paths.empty()) {
auto t = paths.front(); paths.pop();
if (t.size() > level) {
for (string w : words) dict.erase(w);
words.clear();
level = t.size();
if (level > minLevel) break;
}
string last = t.back();
for (int i = ; i < last.size(); ++i) {
string newLast = last;
for (char ch = 'a'; ch <= 'z'; ++ch) {
newLast[i] = ch;
if (!dict.count(newLast)) continue;
words.insert(newLast);
vector<string> nextPath = t;
nextPath.push_back(newLast);
if (newLast == endWord) {
res.push_back(nextPath);
minLevel = level;
} else paths.push(nextPath);
}
}
}
return res;
}
};
Github 同步地址:
https://github.com/grandyang/leetcode/issues/126
类似题目:
参考资料:
https://leetcode.com/problems/word-ladder-ii/
http://yucoding.blogspot.com/2014/01/leetcode-question-word-ladder-ii.html
https://leetcode.com/problems/word-ladder-ii/discuss/40487/Java-Solution-with-Iteration
LeetCode All in One 题目讲解汇总(持续更新中...)
[LeetCode] 126. Word Ladder II 词语阶梯之二的更多相关文章
- [LeetCode] 126. Word Ladder II 词语阶梯 II
Given two words (beginWord and endWord), and a dictionary's word list, find all shortest transformat ...
- [LeetCode] Word Ladder II 词语阶梯之二
Given two words (start and end), and a dictionary, find all shortest transformation sequence(s) from ...
- Java for LeetCode 126 Word Ladder II 【HARD】
Given two words (start and end), and a dictionary, find all shortest transformation sequence(s) from ...
- LeetCode 126. Word Ladder II 单词接龙 II(C++/Java)
题目: Given two words (beginWord and endWord), and a dictionary's word list, find all shortest transfo ...
- leetcode 126. Word Ladder II ----- java
Given two words (beginWord and endWord), and a dictionary's word list, find all shortest transformat ...
- Leetcode#126 Word Ladder II
原题地址 既然是求最短路径,可以考虑动归或广搜.这道题对字典直接进行动归是不现实的,因为字典里的单词非常多.只能选择广搜了. 思路也非常直观,从start或end开始,不断加入所有可到达的单词,直到最 ...
- leetcode@ [126] Word Ladder II (BFS + 层次遍历 + DFS)
https://leetcode.com/problems/word-ladder-ii/ Given two words (beginWord and endWord), and a diction ...
- [LeetCode] 212. Word Search II 词语搜索之二
Given a 2D board and a list of words from the dictionary, find all words in the board. Each word mus ...
- leetcode 127. Word Ladder、126. Word Ladder II
127. Word Ladder 这道题使用bfs来解决,每次将满足要求的变换单词加入队列中. wordSet用来记录当前词典中的单词,做一个单词变换生成一个新单词,都需要判断这个单词是否在词典中,不 ...
随机推荐
- springboot拦截器拦了静态资源css,js,png,jpeg,svg等等静态资源
1.在SpringBoot中自己写的拦截器,居然把静态资源也拦截了,导致了页面加载失败. package com.bie.config; import com.bie.component.MyLoca ...
- Xamarin移动开发备忘
vs2017下: 1.debug用于本地生成和调试,release用于发布.区别主要在于: 安卓项目的生成选项属性中,开发者模式release是不勾的,而且高级里的cpu不同(debug是x86,re ...
- Codeforces 939A题,B题(水题)
题目链接:http://codeforces.com/problemset/problem/939/A A题 A. Love Triangle time limit per test 1 second ...
- js中this关键字的作用
this中的几种情况 1.普通函数中的this window 2.构造函数中的this 是当前构造函数创建的对象在new这个构造函数的时候会在内存中创建一个对象,此时会让this指向刚创建好的这个对象 ...
- python 树与二叉树的实现
1.树的基本概念 1.树的定义 树的定义是递归的,树是一种递归的数据结构. 1)树的根结点没有前驱结点,除根结点之外所有结点有且只有一个前驱结点 2)树中所有结点可以有零个或多个后继结点 2.树的术语 ...
- QString判断空 isEmpty
isEmpty Returns true if the string has no characters; otherwise returns false. QString().isEmpty(); ...
- vue -全局组件和局部组件
1.全局组件:Vue.component('标签名', 构造器名) Vue.component('mycpn', cpnC) 注:这种注册组件的方式是全局组件,可以在多个Vue实例中使用. 2.局部组 ...
- odoo10学习笔记二:继承(扩展)、模块数据
转载请注明原文地址:https://www.cnblogs.com/ygj0930/p/11189252.html 一:继承 在不改变底层对象的时候添加新的功能——这是通过继承机制来实现的,作为在现有 ...
- Mysql之架构篇
1.主从复制解决方案 这是MySQL自身提供的一种高可用解决方案,数据同步方法采用的是MySQL replication技术.MySQL replication就是从服务器到主服务器拉取二进制日志文件 ...
- linux(03)基础系统优化
Linux之基础系统优化 Linux基础系统优化 >>> https://www.cnblogs.com/pyyu/p/9355477.html Linux的网络功能相当强悍,一时之 ...