10. Regular Expression Matching
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). The function prototype should be: bool isMatch(const char *s, const char *p) Some examples: isMatch("aa","a") → false isMatch("aa","aa") → true isMatch("aaa","aa") → false isMatch("aa", "a*") → true isMatch("aa", ".*") → true isMatch("ab", ".*") → true isMatch("aab", "c*a*b") → true
解题思路:此题的难点在于 x*可以延伸为xx*,即s中xxxyzyz与p中x*yzyz匹配的时候,每次都能把s中的x去掉一个,于是可以转化成了xxyzyz与p中x*yzyz匹配。
dfs解法:
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)); } };
dp解法:膜 https://discuss.leetcode.com/topic/6183/my-concise-recursive-and-dp-solutions-with-full-explanation-in-c/2
需要注意的是:初始化的时候,当p[j-1]='*'的时候,f[0][j]=f[0][j-2] 比如s="",p="a*b*",f[0][2]是可以为true的。
class Solution { public: bool isMatch(string s, string p) { /** * f[i][j]: if s[0..i-1] matches p[0..j-1] * if p[j - 1] != '*' * f[i][j] = f[i - 1][j - 1] && s[i - 1] == p[j - 1] * if p[j - 1] == '*', denote p[j - 2] with x * f[i][j] is true iff any of the following is true * 1) "x*" repeats 0 time and matches empty: f[i][j - 2] * 2) "x*" repeats >= 1 times and matches "x*x": s[i - 1] == x && f[i - 1][j] * '.' matches any single character */ int n=s.length(),m=p.length(); vector<vector<bool>> f(n + 1, vector<bool>(m + 1, false)); f[0][0]=true; for(int i=1;i<=n;i++){ f[i][0]=false; } for(int j=1;j<=m;j++) f[0][j]=j>1&&p[j-1]=='*'&&f[0][j-2]; for(int i=1;i<=n;i++){ for(int j=1;j<=m;j++) if(p[j-1]!='*'){ f[i][j]=f[i-1][j-1]&&(s[i-1]==p[j-1]||p[j-1]=='.'); } else { f[i][j]=f[i][j-2]||(s[i-1]==p[j-2]||p[j-2]=='.')&&f[i-1][j]; } } return f[n][m]; } };