Sword finger Offer 19. Detailed problem solution of regular expression matching

Sword finger Offer 19. Regular expression matching ...
subject
Problem solving ideas
java code
Sword finger Offer 19. Regular expression matching

subject

Please implement a function to match regular expressions containing '.' and '*'. The character '.' in the mode indicates any character, while '*' indicates that the character before it can appear any time (including 0 times). In this question, matching means that all characters of the string match the whole pattern. For example, the string "aaa" matches the patterns "a.a" and "abaca", but not "aa.a" and "ab*a".

Example 1:
Input:
s = "aa"
p = "a"
Output: false
Explanation: "a" cannot match "aa" the entire string.

Example 2:
Input:
s = "aa"
p = "a*"
Output: true
Explanation: because '*' means that zero or more preceding elements can be matched, the preceding element here is' a '. Therefore, the string "aa" can be regarded as' a 'repeated once.

Example 3:
Input:
s = "ab"
p = "."
Output: true
Explanation: "." means that it can match zero or more ('*') arbitrary characters ('.').

Example 4:
Input:
s = "aab"
p = "cab"
Output: true
Explanation: because '*' represents zero or more, here 'c' is 0, and 'a' is repeated once. Therefore, the string "aab" can be matched.

Example 5:
Input:
s = "mississippi"
p = "misisp*."
Output: false

s may be empty and contain only lowercase letters from a-z.
p may be empty and contain only lowercase letters from a-z and the characters. And *, with no consecutive '*'.
Note: this question is the same as question 10 of the main station: https://leetcode-cn.com/problems/regular-expression-matching/

Source: LeetCode
Link: https://leetcode-cn.com/problems/zheng-ze-biao-da-shi-pi-pei-lcof

Problem solving ideas

Method 1: "cheating"
Directly use the function matches provided by java to judge whether the string matches the regular expression. Actually, the static method of Pattern is called.

Law 2: violence recursion
When writing, you should think clearly and judge whether the given regular expression is empty. When both p and s are empty, it proves that the matching is successful. After excluding this situation, judge whether the first character of S and p matches.
When the next character of p is * look at the matching result of the first character in front.
Mismatch, p moves back two bits during recursion, and s remains unchanged.
Match, then s moves back one bit and p remains unchanged during recursion.
If the first characters of s and p are equal, the remaining strings are recursive.

Method 3: dynamic programming
Dynamic programming should first find laws and transfer equations.
If you look at the previous solution, you can get:
f[0][0] = true when both string and expression are empty
f[i][j] = f[i-1][j-1]
When the current character does not match, but the next digit is *, f[i][j] = f[i][j-2]
When the current character matches and the next digit is *, f[i][j] = f[i-1][j]

java code

//FA Yi class Solution { public boolean isMatch(String s, String p) { return s.matches(p);//Matches checks whether the string matches the given regular expression } }
//Method II class Solution { public boolean isMatch(String s, String p) { //If p is empty and s is also empty, the matching is successful if (p.isEmpty()){ return s.isEmpty(); } //Determine whether the first character of s and p matches boolean headMatched = !s.isEmpty() && (s.charAt(0)==p.charAt(0)||p.charAt(0)=='.'); if (p.length()>=2 && p.charAt(1)=='*'){//If the next element of the first element of p is* return isMatch(s,p.substring(2)) || (headMatched&&isMatch(s.substring(1),p)); } else if (headMatched){//If the first characters of s and p are equal return isMatch(s.substring(1),p.substring(1)); } else { return false; } } }
//Method three class Solution { public boolean isMatch(String s, String p) { int lens = s.length(); int lenp = p.length(); //Initialize dynamic programming matrix boolean[][] dp = new boolean[lens+1][lenp+1]; dp[0][0] = true;//Both are space-time matching for(int j = 2; j < lenp+1; j += 2){//initialization dp[0][j] = dp[0][j - 2] && p.charAt(j - 1) == '*'; } for(int i = 1; i < lens+1; i++) { for(int j = 1; j < lenp+1; j++) { if(p.charAt(j - 1) == '*'){ dp[i][j] = dp[i][j - 2] || dp[i - 1][j] && (s.charAt(i - 1) == p.charAt(j - 2) || p.charAt(j - 2) == '.'); } else{ dp[i][j] = dp[i - 1][j - 1] && (p.charAt(j - 1) == '.' || s.charAt(i - 1) == p.charAt(j - 1)); } } } return dp[lens][lenp]; } }

23 October 2021, 16:14 | Views: 6138

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