87. Scramble String(leetcode)

原题网址:https://leetcode-cn.com/problems/scramble-string/description/

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.

分析:

由于一个字符串有很多种二叉表示法,貌似很难判断两个字符串是否可以做这样的变换。
对付复杂问题的方法是从简单的特例来思考,从而找出规律。
先考察简单情况:
字符串长度为1:很明显,两个字符串必须完全相同才可以。
字符串长度为2:当s1="ab", s2只有"ab"或者"ba"才可以。
对于任意长度的字符串,我们可以把字符串s1分为a1,b1两个部分,s2分为a2,b2两个部分,满足((a1~a2) && (b1~b2))或者 ((a1~b2) && (a1~b2))

如此,我们找到了解决问题的思路。首先我们尝试用递归来写。


解法一(递归)

两个字符串的相似的必备条件是含有相同的字符集。简单的做法是把两个字符串的字符排序后,然后比较是否相同。
加上这个检查就可以大大的减少递归次数。
代码如下:

import java.util.*;
import java.lang.*;

class Program
 {

        public static void main(String []args){
			
			
	    System.out.println(isScramble("great","eatrg"));//true
            System.out.println(isScramble("abcde", "caebd"));//false
      
			
	}
        public static boolean isScramble(String s1, String s2)
        {
            //using the recursive
            int L1 = s1.length();
            int L2 = s2.length();
            if (L1 != L2) return false;
            if (L1 == 0) return true;

            char[] c1 = s1.toCharArray();
            char[] c2 = s2.toCharArray();
            if(L1==1)return c1[0]==c2[0];

            Arrays.sort(c1);
            Arrays.sort(c2);
    
 
            for (int i = 0; i < L1; i++)
            {
                if (c1[i] != c2[i]) return false;
                //return true;
                
            }
            boolean result = false;
            for (int i = 1; i <L1 && !result; ++i)
            {
                String s11 = s1.substring(0, i);
                String s12 = s1.substring(i);
                String s21 = s2.substring(0, i);
                String s22 = s2.substring(i);
                result = isScramble(s11, s21) && isScramble(s12, s22);
                if (!result)
                {
                    String s31 = s2.substring(0, L1 - i);
                    String s32 = s2.substring(L1 - i);
                    result = isScramble(s11, s32) && isScramble(s12, s31);
                }
            }
            return result;

        }


 }

解法二(动态规划)
这里使用了一个三维数组boolean result[len][len][len],其中第一维为子串的长度,第二维为s1的起始索引,第三维为s2的起始索引。
result[k][i][j]表示s1[i...i+k]是否可以由s2[j...j+k]变化得来。

import java.util.*;
import java.lang.*;

class Program1
 {

 
 
	public static void main(String []args){
			

	    System.out.println(isScramble("great","eatrg"));
            System.out.println(isScramble("abcde", "caebd"));
      
			
	}

        public static boolean isScramble(String s1, String s2)
        {
            //using dynamic programming
            int L1 = s1.length();
            int L2 = s2.length();
            if (L1 != L2) return false;
            if (L1 == 0) return true;

            char[] c1 = s1.toCharArray();
            char[] c2 = s2.toCharArray();
            
	int len=L1;
	boolean[][][] result = new boolean[len][len][len];
        for(int i=0;i<len;++i){
            for(int j=0;j<len;++j){
                result[0][i][j] = (c1[i]==c2[j]);
            }
        }
        
        for(int k=2;k<=len;++k){
            for(int i=len-k;i>=0;--i){
              for(int j=len-k;j>=0;--j){
                  boolean r = false;
                  for(int m=1;m<k && !r;++m){
                      r = (result[m-1][i][j] && result[k-m-1][i+m][j+m]) || (result[m-1][i][j+k-m] && result[k-m-1][i+m][j]);
                  }
                  result[k-1][i][j] = r;
              }
            }
        }
        
        return result[len-1][0][0];
			

        }


 }



参考文章:

1.http://www.blogjava.net/sandy/archive/2013/05/22/399605.html







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