Problem Description:
Given a string s and a dictionary of words dict, determine if s can be segmented into a space-separated sequence of one or more dictionary words.
For example, given
s = "leetcode",
dict = ["leet", "code"].
Return true because "leetcode" can be segmented as "leet code".
这个题目最容易想到的是利用递归,不断地拆分出在字典中的单词,然后递归判断后缀是否能被拆分,后来想着利用利用字典中的单词最大最小长度提高效率,结果还是超时,具体代码如下:
class Solution {
public:
int minlen,maxlen;
void findlen(unordered_set
&dict)
{
unordered_set
::iterator iter=dict.begin(); minlen=(*iter).length(); maxlen=(*iter).length(); for(iter=dict.begin();iter!=dict.end();++iter) { if((*iter).length()
maxlen) maxlen=(*iter).length(); } } bool wordcontain(string s, unordered_set
&dict,int begin) { if(begin==s.length()) return true; for(int i=minlen;i<=maxlen;++i) { if((begin+i)>s.length()) continue; if(dict.find(s.substr(begin,i))!=dict.end()) if(wordcontain(s,dict,begin+i)) return true; } return false; } bool wordBreak(string s, unordered_set
&dict) { if(s.empty()||dict.empty()) return false; findlen(dict); return wordcontain(s,dict,0); } };
Submission Result: Time Limit Exceeded
| Last executed input: | "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaab", ["a","aa","aaa","aaaa","aaaaa","aaaaaa","aaaaaaa","aaaaaaaa","aaaaaaaaa","aaaaaaaaaa"] |
然后在discuss区看了一些讨论,发现应该用动态规划来实现,利用一个一维bool数组记录子串是否可被拆分,减少了重复判断子串的次数,效率明显提高。 代码如下:
class Solution {
public:
bool wordBreak(string s, unordered_set
&dict) {
if(s.empty()||dict.empty())
return false;
int len=s.size();
vector
flag(len+1,false); flag[0]=true; for(int i=1;i<=len;++i) for(int j=0;j