ID | Title | Difficulty | |
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10. Regular Expression Matching
Hard
LeetCode
String, Dynamic Programming, Recursion
Problem
Given an input string s and a pattern p, implement regular expression matching with support for ‘.’ and ‘*’ where:
- ’.’ Matches any single character.
- ’*’ Matches zero or more of the preceding element.
The matching should cover the entire input string (not partial).
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 (.)".
Constraints:
- 1 <= s.length <= 20
- 1 <= p.length <= 30
- s contains only lowercase English letters.
- p contains only lowercase English letters, ‘.’, and ‘*’.
- It is guaranteed for each appearance of the character ‘*’, there will be a previous valid character to match.
Code
x | a | * | b | . | c | ||
---|---|---|---|---|---|---|---|
T | F | F | F | F | F | F | |
x | F | T | F | T | F | F | F |
a | F | F | T | T | F | F | F |
a | F | F | F | T | F | F | F |
b | F | F | F | F | T | F | F |
y | F | F | F | F | F | T | F |
c | F | F | F | F | F | F | T |
class Solution {
public boolean isMatch(String s, String p) {
int m = s.length();
int n = p.length();
boolean[][] dp = new boolean[m + 1][n + 1];
dp[0][0] = true;
for(int i = 1; i <= n; i++){
if(p.charAt(i - 1) =='*' && dp[0][i - 2] == true){
dp[0][i] = true;
}
}
for(int i = 1; i <= m; i++){
for(int j = 1; j <= n; j++){
if(s.charAt(i - 1) == p.charAt(j - 1)){
dp[i][j] = dp[i - 1][j - 1];
}
if (p.charAt(j - 1) =='.'){
dp[i][j] = dp[i - 1][j - 1];
}
if(p.charAt(j - 1) =='*'){
// p的前一个字符不能变成s的当前字符
// -> 只能删除p的前一个字符和p的当前字符, 看是不是可以匹配
if(p.charAt(j - 2) != s.charAt(i - 1) && p.charAt(j - 2) != '.'){
dp[i][j] = dp[i][j - 2];
} else {
// p的前一个字符可以等于s的当前字符
dp[i][j] = dp[i - 1][j] || dp[i][j - 1] || dp[i][j - 2];
}
}
}
}
return dp[m][n];
}
}
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