C++实现LeetCode(126.词语阶梯之二)

[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:

  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.

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 = 1, 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 = 0; 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:

Word Ladder

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

到此这篇关于C++实现LeetCode(126.词语阶梯之二)的文章就介绍到这了,更多相关C++实现词语阶梯之二内容请搜索我们以前的文章或继续浏览下面的相关文章希望大家以后多多支持我们!

(0)

相关推荐

  • C++实现LeetCode(123.买股票的最佳时间之三)

    [LeetCode] 123.Best Time to Buy and Sell Stock III 买股票的最佳时间之三 Say you have an array for which the ith element is the price of a given stock on day i. Design an algorithm to find the maximum profit. You may complete at most two transactions. Note: You

  • C++实现LeetCode(121.买卖股票的最佳时间)

    [LeetCode] 121.Best Time to Buy and Sell Stock 买卖股票的最佳时间 Say you have an array for which the ith element is the price of a given stock on day i. If you were only permitted to complete at most one transaction (ie, buy one and sell one share of the sto

  • C++验证LeetCode包围区域的DFS方法

    验证LeetCode Surrounded Regions 包围区域的DFS方法 在LeetCode中的Surrounded Regions 包围区域这道题中,我们发现用DFS方法中的最后一个条件必须是j > 1,如下面的红色字体所示,如果写成j > 0的话无法通过OJ,一直百思不得其解其中的原因,直到有网友告诉我说他验证了最后一个大集合在本地机子上可以通过,那么我也来验证看看吧. class Solution { public: void solve(vector<vector<

  • C++实现LeetCode(127.词语阶梯)

    [LeetCode] 127.Word Ladder 词语阶梯 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: Only one letter can be changed at a time. Each transforme

  • C++实现LeetCode(119.杨辉三角之二)

    [LeetCode] 119. Pascal's Triangle II 杨辉三角之二 Given a non-negative index k where k ≤ 33, return the kth index row of the Pascal's triangle. Note that the row index starts from 0. In Pascal's triangle, each number is the sum of the two numbers directly

  • C++实现LeetCode(128.求最长连续序列)

    [LeetCode] 128.Longest Consecutive Sequence 求最长连续序列 Given an unsorted array of integers, find the length of the longest consecutive elements sequence. Your algorithm should run in O(n) complexity. Example: Input: [100, 4, 200, 1, 3, 2] Output: 4 Expl

  • C++实现LeetCode(124.求二叉树的最大路径和)

    [LeetCode] 124. Binary Tree Maximum Path Sum 求二叉树的最大路径和 Given a non-empty binary tree, find the maximum path sum. For this problem, a path is defined as any sequence of nodes from some starting node to any node in the tree along the parent-child conn

  • C++实现LeetCode(122.买股票的最佳时间之二)

    [LeetCode] 122.Best Time to Buy and Sell Stock II 买股票的最佳时间之二 Say you have an array for which the ith element is the price of a given stock on day i. Design an algorithm to find the maximum profit. You may complete as many transactions as you like (ie

  • C++实现LeetCode(126.词语阶梯之二)

    [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

  • C++实现LeetCode(79.词语搜索)

    [LeetCode] 79. Word Search 词语搜索 Given a 2D board and a word, find if the word exists in the grid. The word can be constructed from letters of sequentially adjacent cell, where "adjacent" cells are those horizontally or vertically neighboring. Th

  • C++实现LeetCode(45.跳跃游戏之二)

    [LeetCode] 45. Jump Game II 跳跃游戏之二 Given an array of non-negative integers, you are initially positioned at the first index of the array. Each element in the array represents your maximum jump length at that position. Your goal is to reach the last i

  • C++实现LeetCode(90.子集合之二)

    [LeetCode] 90. Subsets II 子集合之二 Given a collection of integers that might contain duplicates, S, return all possible subsets. Note: Elements in a subset must be in non-descending order. The solution set must not contain duplicate subsets. For example

  • C++实现LeetCode(40.组合之和之二)

    [LeetCode] 40. Combination Sum II 组合之和之二 Given a collection of candidate numbers (candidates) and a target number (target), find all unique combinations in candidates where the candidate numbers sums to target. Each number in candidates may only be u

  • C++实现LeetCode(59.螺旋矩阵之二)

    [LeetCode] 59. Spiral Matrix II 螺旋矩阵之二 Given a positive integer n, generate a square matrix filled with elements from 1 to n2 in spiral order. Example: Input: 3 Output: [ [ 1, 2, 3 ], [ 8, 9, 4 ], [ 7, 6, 5 ] ] 此题跟之前那道 Spiral Matrix 本质上没什么区别,就相当于个类似逆

  • C++实现LeetCode(140.拆分词句之二)

    [LeetCode] 140.Word Break II 拆分词句之二 Given a non-empty string s and a dictionary wordDict containing a list of non-empty words, add spaces in s to construct a sentence where each word is a valid dictionary word. Return all such possible sentences. Not

  • C++实现LeetCode(210.课程清单之二)

    [LeetCode] 210. Course Schedule II 课程清单之二 There are a total of n courses you have to take, labeled from 0 to n-1. Some courses may have prerequisites, for example to take course 0 you have to first take course 1, which is expressed as a pair: [0,1] G

  • 详解Go开发Struct转换成map两种方式比较

    最近做Go开发的时候接触到了一个新的orm第三方框架gorose,在使用的过程中,发现没有类似beego进行直接对struct结构进行操作的方法,有部分API是通过map进行数据库相关操作,那么就需要我们把struct转化成map,下面是是我尝试两种不同struct转换成map的方法 mport ( "encoding/json" "fmt" "reflect" "time" ) type Persion struct { I

随机推荐