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  • 87. Scramble String (Java)

    Given a string s1, we may represent it as a binary tree by partitioning it to two non-empty substrings recursively.

    Below is one possible representation of s1 = "great":

        great
       /    
      gr    eat
     /     /  
    g   r  e   at
               / 
              a   t
    

    To scramble the string, we may choose any non-leaf node and swap its two children.

    For example, if we choose the node "gr" and swap its two children, it produces a scrambled string "rgeat".

        rgeat
       /    
      rg    eat
     /     /  
    r   g  e   at
               / 
              a   t
    

    We say that "rgeat" is a scrambled string of "great".

    Similarly, if we continue to swap the children of nodes "eat" and "at", it produces a scrambled string "rgtae".

        rgtae
       /    
      rg    tae
     /     /  
    r   g  ta  e
           / 
          t   a
    

    We say that "rgtae" is a scrambled string of "great".

    Given two strings s1 and s2 of the same length, determine if s2 is a scrambled string of s1.

    Example 1:

    Input: s1 = "great", s2 = "rgeat"
    Output: true
    

    Example 2:

    Input: s1 = "abcde", s2 = "caebd"
    Output: false

    思路:对付复杂问题的方法是从简单的特例来思考。简单情况:

    1. 如果字符串长度为1,那么必须两个字符串完全相同;
    2. 如果字符串长度为2,例如s1='ab',则s2='ab'或s2='ba'才行
    3. 如果字符串任意长度,那么可以把s1分为a1, b1两部分,s2分为a2,b2两部分。需要满足:((a1=a2)&&(b1=b2)) || ((a1=b2)&&(a2=b1)) =>可用递归
    class Solution {
        public boolean isScramble(String s1, String s2) {
            if(s1.length()==1) return s1.equals(s2);
            
            String s11;
            String s12;
            String s21;
            String s22;
            for(int i = 1; i <= s1.length(); i++){
                s11 = s1.substring(0, i);
                s12 = s1.substring(i);
                s21 = s2.substring(0,i);
                s22 = s2.substring(i);
                if(isScramble(s11,s21) && isScramble(s12,s22)) return true;
                if(isScramble(s11,s22) && isScramble(s12,s21)) return true;
            }
            return false;
        }
    }

    Result: Time Limit Exceeded

    解决方法:动态规划。三维状态dp[i][j][k],前两维分别表示s1和s2的下标起始位置,k表示子串的长度。dp[i][j][k]=true表示s1(i, i+k-1)和s2(j, j+k-1)是scramble。

    结合递归法中的逻辑,dp[i][j][k]=true的条件是s1(i, i+split-1)=s2(j, j+split-1) && s1(i+split, i+k-1) = s2(j+split, j+k-1) 或者 s1(i, i+split-1)=s2(j+k-split, j+k-1) && s1(i+split, i+k-1) = s2(j, j+k-split-1)

    所以状态转移方程是:如果dp[i][j][split] = true && dp[i+split][j+split][k-split] = true 或者 dp[i][j+k-split][split]=true && dp[i+split][j][k-split]=true,那么dp[i][j][k]=true

    初始状态:当k=1的时候dp[i][j][1]=true的条件是s1(i)=s2(j)

    class Solution {
        public boolean isScramble(String s1, String s2) {
            if(s1.length()== 0 || s1.equals(s2)) return true;
            
            boolean dp[][][] = new boolean[s1.length()][s1.length()][s1.length()+1];
            
            //initial state
            for(int i = 0; i < s1.length(); i++){
                for(int j = 0; j < s2.length(); j++){
                    dp[i][j][1] = s1.charAt(i)==s2.charAt(j);
                }
            }
            
            //state transfer
            for(int k = 2; k <= s1.length(); k++){
                for(int i = 0; i+k-1 < s1.length(); i++){
                    for(int j = 0; j+k-1 < s1.length(); j++){
                        for(int split = 1; split < k; split++){
                            //如果dp[i][j][split] = true && dp[i+split][j+split][k-split] = true 或者 dp[i][j+k-split][split]=true && dp[i+split][j][k-split]=true,那么dp[i][j][k]=true
                            if((dp[i][j][split] && dp[i+split][j+split][k-split]) || (dp[i][j+k-split][split] && dp[i+split][j][k-split])){
                                dp[i][j][k] = true;
                                break;
                            }
                        }
                    }
                }
            }     
            return dp[0][0][s1.length()];
        }
    }
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  • 原文地址:https://www.cnblogs.com/qionglouyuyu/p/11134500.html
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