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
題意:匹配正則表達式。
思路:遞歸,基準條件是 p空
,然後匹配第一個字符,接着匹配剩下的字符。
代碼:
class Solution {
public:
bool isMatch(string s, string p) {
if (p.empty()) return s.empty(); //p空和s空爲真;p空s非空爲假
bool firstMatch = !s.empty() && (s[0] == p[0] || p[0] == '.'); //s非空的情況下比較第一個字符
if (p.size() >= 2 && p[1] == '*') { //匹配s[0]0次或多次
return isMatch(s, p.substr(2)) || (firstMatch && isMatch(s.substr(1), p));
} else
return firstMatch && isMatch(s.substr(1), p.substr(1)); //遞歸判斷第二個字符是否匹配
}
};
效率不高:
執行用時:852 ms, 在所有 C++ 提交中擊敗了9.17% 的用戶
內存消耗:13.3 MB, 在所有 C++ 提交中擊敗了21.43% 的用戶
其實可以用再優化一下代碼,減少字符串的複製和拷貝;或者用動態規劃;或者用AC自動機等等。
這道題還有很多值得挖掘的地方,以後再更新,多做幾次。