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

  1. Only one letter can be changed at a time
  2. Each intermediate word must exist in the word list

For example,

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

Return

  [
["hit","hot","dot","dog","cog"],
["hit","hot","lot","log","cog"]
]

Note:

  • All words have the same length.
  • All words contain only lowercase alphabetic characters.

思路:仍然使用两个队列做WFS, 不同于I的是

  1. 入队的元素是从根节点至当前节点的单词数组
  2. 不能立即删dict中的元素,因为该元素可能在同级的其他节点中存在
class Solution {
public:
vector<vector<string>> findLadders(string beginWord, string endWord, unordered_set<string> &wordList) {
queue<vector<string>> queue_to_push;
queue<vector<string>> queue_to_pop;
set<string> flag;
set<string>::iterator it;
bool endFlag = false;
string curStr;
vector<string> curVec;
vector<vector<string>> ret;
char tmp; curVec.push_back(beginWord);
queue_to_pop.push(curVec);
wordList.erase(beginWord); //if beginWord is in the dict, it should be erased to ensure shortest path
while(!queue_to_pop.empty()){
curVec = queue_to_pop.front();
curStr = curVec[curVec.size()-];
queue_to_pop.pop(); //find one letter transformation
for(int i = ; i < curStr.length(); i++){ //traverse each letter in the word
for(int j = 'a'; j <= 'z'; j++){ //traverse letters to replace
if(curStr[i]==j) continue; //ignore itself
tmp = curStr[i];
curStr[i]=j;
if(curStr == endWord){
curVec.push_back(curStr);
ret.push_back(curVec);
endFlag = true;
curVec.pop_back(); //back track
}
else if(!endFlag && wordList.count(curStr)>){ //occur in the dict
flag.insert(curStr);
curVec.push_back(curStr);
queue_to_push.push(curVec);
curVec.pop_back(); //back track
}
curStr[i] = tmp; //back track
}
} if(queue_to_pop.empty()){//move to next level
if(endFlag){ //terminate
break; //Maybe there's no such path, so we return uniformaly at the end
}
for(it=flag.begin(); it != flag.end();it++){ //erase the word occurred in current level from the dict
wordList.erase(*it);
}
swap(queue_to_pop, queue_to_push); //maybe there's no such path, then endFlag = false, queue_to_push empty, so we should check if queue_to_pop is empty in the next while
flag.clear();
}
}
return ret;
}
};

126. Word Ladder II( Queue; BFS)的更多相关文章

  1. 126. Word Ladder II(hard)

    126. Word Ladder II 题目 Given two words (beginWord and endWord), and a dictionary's word list, find a ...

  2. 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 ...

  3. [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 transformat ...

  4. 126. Word Ladder II

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

  5. [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 ...

  6. 【leetcode】126. Word Ladder II

    题目如下: 解题思路:DFS或者BFS都行.本题的关键在于减少重复计算.我采用了两种方法:一是用字典dic_ladderlist记录每一个单词可以ladder的单词列表:另外是用dp数组记录从star ...

  7. Java for LeetCode 126 Word Ladder II 【HARD】

    Given two words (start and end), and a dictionary, find all shortest transformation sequence(s) from ...

  8. 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 ...

  9. 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 ...

随机推荐

  1. 集成学习之Boosting —— AdaBoost实现

    集成学习之Boosting -- AdaBoost原理 集成学习之Boosting -- AdaBoost实现 AdaBoost的一般算法流程 输入: 训练数据集 \(T = \left \{(x_1 ...

  2. java基础第7天

    Javabean的特点 私人成员变量 公共的成员方法 利用get/set成员方法对私人变量进行取值/赋值 构造方法(构造器) 构造方法(也叫构造器)是一种特殊的方法,定义的位置是在类中,成员方法外,和 ...

  3. New Concept English Two 14 34

    recently  busy  a lot ,just  practices   every   morning. $课文32  购物变得很方便 324. People are not so hone ...

  4. iOS-----使用AddressBookUI管理联系人

    使用AddressBookUI管理联系人 iOS SDK为管理地址簿提供的视图控制器位于AddressBookUI框架内.总结来说,AddressBookUI框架提供了如下特殊的视图控制器. ABPe ...

  5. Codeforces 158B:Taxi

    B. Taxi time limit per test 3 seconds memory limit per test 256 megabytes input standard input outpu ...

  6. deno学习二 基本代码

    deno 介绍是安全的ts 运行时 简单的代码 使用js(app.js) console.log("demoapp") 输出 dalongdemo 使用ts(app.ts) con ...

  7. SpookyOTP

    https://pypi.python.org/pypi/SpookyOTP/1.1.1 SpookyOTP 1.1.1 Downloads ↓ A lightweight Python 2/3 pa ...

  8. application项目获取bean

    对于web项目,编程方式获取bean如下: WebApplicationContext wac = ContextLoader.getCurrentWebApplicationContext(); C ...

  9. UOJ 55 【WC2014】紫荆花之恋——点分治+平衡树

    题目:http://uoj.ac/problem/55 点分治.在点分树上每个点上用 splay 维护管辖的点的情况.做几次就重构点分树.TLE.只能过 20 分. #include<cstdi ...

  10. python 可视化 词云图

    文本挖掘及可视化知识链接 我的代码: # -*- coding: utf-8 -*- from pandas import read_csv import numpy as np from sklea ...