[Leetcode Week9]Word Break II
Word Break II 题解
题目来源:https://leetcode.com/problems/word-break-ii/description/
Description
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. You may assume the dictionary does not contain duplicate words.
Return all such possible sentences.
For example, given
s = "catsanddog",
dict = ["cat", "cats", "and", "sand", "dog"].
A solution is ["cats and dog", "cat sand dog"].
Solution
class Solution {
public:
vector<string> wordBreak(string s, vector<string>& wordDict) {
int size = s.size();
string outputStr;
vector<string> result;
vector<bool> flags(size + 1, true);
dfs(s, 0, wordDict, flags, outputStr, result);
return result;
}
void dfs(string& s, int startIdx, vector<string>& wordDict, vector<bool>& flags, string& outputStr, vector<string>& result) {
int size = s.size();
if (startIdx == size) {
result.push_back(outputStr.substr(0, outputStr.size() - 1));
return;
}
for (int i = startIdx; i < size; i++) {
string tempSubStr = s.substr(startIdx, i + 1 - startIdx);
if (find(wordDict.begin(), wordDict.end(), tempSubStr) != wordDict.end() && flags[i + 1]) {
outputStr += tempSubStr + " ";
int preSize = result.size();
dfs(s, i + 1, wordDict, flags, outputStr, result);
if (preSize == result.size())
flags[i + 1] = false;
outputStr.resize(outputStr.size() - tempSubStr.size() - 1);
}
}
}
};
解题描述
这道题虽然表面上是第一道Word Break的升级版,但是不同于第一道,这道题使用动态规划可能会出现问题。刚开始做的时候我就想着改用第一道题的做法就好,但是几次提交都是MLE;修改了代码,减少了变量的使用之后,在后面一个比较长的测例上面一直TLE。自己本机上也是运行那个测例的时候被KILL掉,查看系统日志原因仍然是超内存。查阅了一些资料之后才发现,这道题使用动态规划比较繁琐而且效率不高,没有做好剪枝的话还很容易就会出现MLE。结合各种资料重新修改代码,最终还是采用了DFS来解决,并且采用一个bool
数组flags
来做剪枝标记。
[Leetcode Week9]Word Break II的更多相关文章
- 【leetcode】Word Break II
Word Break II Given a string s and a dictionary of words dict, add spaces in s to construct a senten ...
- [LeetCode] 140. Word Break II 单词拆分II
Given a non-empty string s and a dictionary wordDict containing a list of non-empty words, add space ...
- [Leetcode Week9]Word Break
Word Break 题解 原创文章,拒绝转载 题目来源:https://leetcode.com/problems/word-break/description/ Description Given ...
- leetcode 140. Word Break II ----- java
Given a string s and a dictionary of words dict, add spaces in s to construct a sentence where each ...
- Java for LeetCode 140 Word Break II
Given a string s and a dictionary of words dict, add spaces in s to construct a sentence where each ...
- 【leetcode】Word Break II (hard)★
Given a string s and a dictionary of words dict, add spaces in s to construct a sentence where each ...
- Leetcode#140 Word Break II
原题地址 动态规划题 令s[i..j]表示下标从i到j的子串,它的所有分割情况用words[i]表示 假设s[0..i]的所有分割情况words[i]已知.则s[0..i+1]的分割情况words[i ...
- [LeetCode] 139. Word Break 单词拆分
Given a non-empty string s and a dictionary wordDict containing a list of non-empty words, determine ...
- LeetCode之“动态规划”:Word Break && Word Break II
1. Word Break 题目链接 题目要求: Given a string s and a dictionary of words dict, determine if s can be seg ...
随机推荐
- Spring实战第四章学习笔记————面向切面的Spring
Spring实战第四章学习笔记----面向切面的Spring 什么是面向切面的编程 我们把影响应用多处的功能描述为横切关注点.比如安全就是一个横切关注点,应用中许多方法都会涉及安全规则.而切面可以帮我 ...
- 企业级Nginx Web服务优化实战
web优化一览总结表 优化类型 优化说明 优化方法 安全优化 隐藏nginx版本信息优化 修改nginx配置文件实现优化 server_tokens off: 修改nginx版本信息优化 修改ngin ...
- (原创)最小生成树之Prim(普里姆)算法+代码详解,最懂你的讲解
Prim算法 (哈欠)在创建最小生成树之前,让我们回忆一下什么是最小生成树.最小生成树即在一个待权值的图(即网结构)中用一个七拐八绕的折线串连起所有的点,最小嘛,顾名思义,要权值相加起来最小,你当然可 ...
- 关键词提取TF-IDF算法/关键字提取之TF-IDF算法
TF-IDF(term frequency–inverse document frequency)是一种用于信息检索与信息探勘的常用加权技术.TF的意思是词频(Term - frequency), ...
- thinkPHP form表单提交参数无法获取
后台打印获取的数据为empty, 找了半天,是因为 input标签没有写name, 真是醉了!记一下,免得以后再犯错了.
- linux备忘录-例行性工作排程 (crontab)
例行性工作排程 例行性工作排程分为两类 at at是只执行一次就结束的指令安排.要想使用at,必须要有atd服务的支持. crontab crontab是每隔一段时间自动执行的指令安排.crontab ...
- HDU 4757 Tree(可持久化字典树)(2013 ACM/ICPC Asia Regional Nanjing Online)
Problem Description Zero and One are good friends who always have fun with each other. This time, ...
- winform 不同语言(中文,英文等)
Visual Studio 对于.NET 程序的本地化提供了完整的支持,这里仅介绍实现多语言版本本地化程序的简单步骤.注意黑体处为关键点.一. 窗体本地化 对于Windows 窗体,你需要做的第 ...
- Hadoop执行bin/stop-all.sh时no namenode to stop异常
1 先关闭hadoop所有服务 命令: bin/stop-all.sh 2 格式化namenode 命令: bin/hadoop namenode -format 3 重新启动所有服务 命令: bin ...
- 【python】Python 字典(Dictionary)操作详解
Python字典是另一种可变容器模型,且可存储任意类型对象,如字符串.数字.元组等其他容器模型.一.创建字典字典由键和对应值成对组成.字典也被称作关联数组或哈希表.基本语法如下: dict = {'} ...