Given an input string (s
) and a pattern (p
), implement regular expression matching with support for '.'
and '*'
.
'.' Matches any single character. '*' Matches zero or more of the preceding element.
The matching should cover the entire input string (not partial).
Note:
s
could be empty and contains only lowercase lettersa-z
.p
could be empty and contains only lowercase lettersa-z
, and characters like.
or*
.
Example 1:
Input: s = "aa" p = "a" Output: false Explanation: "a" does not match the entire string "aa".
Example 2:
Input: s = "aa" p = "a*" Output: true Explanation: '*' means zero or more of the precedeng element, 'a'. Therefore, by repeating 'a' once, it becomes "aa".
Example 3:
Input: s = "ab" p = ".*" Output: true Explanation: ".*" means "zero or more (*) of any character (.)".
Example 4:
Input: s = "aab" p = "c*a*b" Output: true Explanation: c can be repeated 0 times, a can be repeated 1 time. Therefore it matches "aab".
Example 5:
Input: s = "mississippi" p = "mis*is*p*." Output: false
方法一:首先考虑递归解法。
如果p为空,那么表示已经匹配完成,如果此时s还未匹配完则一定无法匹配,反之则匹配成功。
如果p不为空,判断p的第二位是否为‘*’,如果是,分两种情况,第一种是忽略‘*’,s不变,p往后跳2格,递归调用函数。第二种是匹配一格,s前进一格,p不变。
如果p的第二位不为‘*’,则可以直接判断当前位是否相同,然后s、p各进一格递归调用。
注意每次都要判断s是否为空,若为空则返回false。
class Solution { public: bool isMatch(string s, string p) { if(p.empty()) return s.empty(); if(p[1]=='*') return isMatch(s,p.substr(2)) || ( !s.empty() && (s[0]==p[0] || p[0] == '.') && isMatch(s.substr(1),p) ); else return !s.empty() && (s[0]==p[0] || p[0] == '.') && isMatch(s.substr(1),p.substr(1)); } };
方法二:动态规划。
其实和方法一思想基本相同,只是把递归转换为了dp数组。
class Solution { public: bool isMatch(string s, string p) { if(p.empty()) return s.empty(); int len1=s.size(),len2=p.size(); vector<vector<bool>> dp(len1+1,vector<bool>(len2+1,false)); dp[0][0]=true; for(int i=0;i<=len1;i++) { for(int j=1;j<=len2;j++) { if(p[j-1]=='*') dp[i][j] = dp[i][j-2] || ( i>0 && dp[i-1][j] && (s[i-1]==p[j-2] || p[j-2]=='.') ); else dp[i][j] = i>0 && dp[i-1][j-1] && (s[i-1]==p[j-1] || p[j-1]=='.'); } } return dp[len1][len2]; } };