Given a non-empty string s and a dictionary wordDict containing a list of non-empty words, determine if s can be segmented into a space-separated sequence of one or more dictionary words.
Note:
- The same word in the dictionary may be reused multiple times in the segmentation.
- You may assume the dictionary does not contain duplicate words.
Example 1:
Input: s = "leetcode", wordDict = ["leet", "code"] Output: true Explanation: Return true because"leetcode"can be segmented as"leet code".
Example 2:
Input: s = "applepenapple", wordDict = ["apple", "pen"] Output: true Explanation: Return true because"applepenapple"can be segmented as"apple pen apple". Note that you are allowed to reuse a dictionary word.
Example 3:
Input: s = "catsandog", wordDict = ["cats", "dog", "sand", "and", "cat"] Output: false
链接:https://leetcode.com/problems/word-break
题解:跟上一篇一样,难度更简单,直接遍历s求出dp数组就行,dp记录每个位置之前的字符串是否可分,以后bug free要注意调用函数参数是否一致,还有是否缺少引用等细节
class Solution {
public:
bool wordBreak(string s, vector<string>& wordDict) {
set<string> dict;
for(auto ss:wordDict){
dict.insert(ss);
}
if(dict.size()==0) return false;
vector<bool> dp(s.size()+1,false);
for(int i=0;i<s.size();i++){
for(int j=0;j<=i;j++){
string str=s.substr(j,i-j+1);
if(dict.count(str)!=0){
if(j==0) dp[i]=true;
else{
if(dp[j-1]) dp[i]=true;
}
}
}
}
return dp[s.size()-1];
}
};

本文详细解析了LeetCode上的单词拆分问题,通过动态规划的方法,判断一个字符串是否能由字典中的单词组成。文章提供了C++实现的代码示例,并解释了算法的工作原理。
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