10. Regular Expression Matching
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 preceding 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
class Solution { public: bool isMatch(string s, string p) { int m = s.size(); int n = p.size(); vector<vector<bool>> dp(m + 1, vector<bool>(n + 1, false)); //1.dp[0][0] = true; dp[0][0] = true; //2.dp[i][0] = false // 初始化时已经设置 //3.dp[0][j] = ? 只有 #*#*#* 或者 (#*)* 这种模式才能匹配空字符串 for(int j = 0; j < n; j++) { if ((p[j] == '*') && (dp[0][j-1])) dp[0][j + 1] = true; } // 1. s[i] == p[j] || p[j] == '.' : dp[i][j] = dp[i - 1][j - 1] // 2. p[j] == '*': // (1). s[i] != p[j - 1]:dp[i][j] = dp[i][j - 2] // (2). s[i] == p[j - 1] || p[j - 1] == '.': dp[i][j] = dp[i][j - 2] || dp[i][j - 1] || dp[i - 1][j] // 其中,dp[i][j - 2]为#*匹配0个, dp[i][j - 1]为#*匹配1个,dp[i - 1][j]为#*匹配多个 for (int i = 0; i < m; ++i) { for (int j = 0; j < n; ++j) { if(p[j] == '.'){ dp[i+1][j+1] = dp[i][j]; } if(s[i] == p[j]){ dp[i+1][j+1] = dp[i][j]; } if (p[j] == '*') { if ((s[i] != p[j-1]) && (p[j - 1] != '.')){ dp[i+1][j+1] = dp[i+1][j-1]; } else{ dp[i+1][j+1] = (dp[i+1][j] || dp[i][j+1] || dp[i+1][j-1]); } } } } return dp[m][n]; } };