• Regular Expression Matching


    题目描述:

    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
     


    这道题难度等级:Hard。我看了提示,说要使用Dynamic Programming、Backtracking。恶补了一下这两个方面的知识,结果还是没做出来。后来想到了递归,大体思路已经正确,可是细节之处总是处理不好。此题,寡人败了。

    我查阅了很多文章,下面的解法在简洁性和易懂性上,无人能出其右。
    solution1:(递归)
    bool isMatch(const char *s, const char *p) {
        if (!*p)    
            return (!*s);
    
        if ('*' == *(p + 1)) {
            // x* matches empty string or at least one character: x* -> xx*
            // *s is to ensure s is non-empty
            return (isMatch(s, p + 2) || *s && (*s == *p || '.' == *p) && isMatch(s + 1, p));
        } 
        else {
            if (!*s)    
                return false;
            return (*s == *p || '.' == *p) ? isMatch(s + 1, p + 1) : false;
        }
    }

    solution2:(动态规划)

     bool isMatch(const char *s, const char *p) {
         int i, j;
         int m = strlen(s);
         int n = strlen(p);
         /**
          * b[i + 1][j + 1]: if s[0..i] matches p[0..j]
          * if p[j] != '*'
          * b[i + 1][j + 1] = b[i][j] && s[i] == p[j]
          * if p[j] == '*', denote p[j - 1] with x,
          * then b[i + 1][j + 1] is true if any of the following is true
          * 1) "x*" repeats 0 time and matches empty: b[i + 1][j -1]
          * 2) "x*" repeats 1 time and matches x: b[i + 1][j]
          * 3) "x*" repeats >= 2 times and matches "x*x": s[i] == x && b[i][j + 1]
          * '.' matches any single character
          */
          //bool b[m + 1][n + 1];
         vector< vector<int> > b(m+1,vector<int>(n+1)); 
         b[0][0] = true;
         for (i = 0; i < m; i++) {
             b[i + 1][0] = false;
         }
         // p[0..j - 2, j - 1, j] matches empty iff p[j] is '*' and p[0..j - 2] matches empty
         b[0][1] = false;
         for (j = 1; j < n; j++) {
             b[0][j + 1] = '*' == p[j] && b[0][j - 1];
         }
         
         for (i = 0; i < m; i++) {
             for (j = 0; j < n; j++) {
                 if (p[j] != '*') {
                     b[i + 1][j + 1] = b[i][j] && ('.' == p[j] || s[i] == p[j]);
                 } 
                 else {
                     b[i + 1][j + 1] = b[i + 1][j - 1] && j > 0 || b[i + 1][j] ||
                         b[i][j + 1] && j > 0 && ('.' == p[j - 1] || s[i] == p[j - 1]);
                 }
             }
         }
         return b[m][n];
     }

    原文链接:https://oj.leetcode.com/discuss/18970/concise-recursive-and-dp-solutions-with-full-explanation-in

     
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  • 原文地址:https://www.cnblogs.com/gattaca/p/4267080.html
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