LeetCode - Scramble String

Scramble String

2014.2.27 00:04

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.

Solution:

　　First I considered DFS as a solution, but gave up quickly because it was too time-consuming.

　　Two strings s1 and s2 can be "scramble" only under either of the conditions below:

　　　　1. there exists a partition for s1 and s2, such that s1.left and s2.left are scramble, s1.right and s2.right are scramble.

　　　　2. there exists a partition for s1 and s2, such that s1.left and s2.right are scramble, s1.right and s2.left are scramble.

　　With this you can solve the problem with dynamic programming.

　　The DP array will require O(n^3) time and space, therefore the complexities are both O(n^3).

Accepted code:

 1 // 2CE, 2RE, 1AC

 2 class Solution {

 3 public:

 4     bool isScramble(string s1, string s2) {

 5         int len1, len2;

 6         

 7         len1 = (int)s1.length();

 8         len2 = (int)s2.length();

 9         // their lengths must be at least equal

10         if (len1 == 0 || len2 == 0 || len1 != len2) {

11             return false;

12         }

13         

14         // they must at least anagrams

15         int c[256];

16         int i, j, k, m;

17         for (i = 0; i < 256; ++i) {

18             c[i] = 0;

19         }

20         for (i = 0; i < len1; ++i) {

21             ++c[s1[i]];

22         }

23         for (i = 0; i < len2; ++i) {

24             --c[s2[i]];

25         }

26         for (i = 0; i < 256; ++i) {

27             if (c[i] != 0) {

28                 return false;

29             }

30         }

31         

32         int n = len1;

33         int ***dp;

34         dp = new int**[n];

35         dp[0] =  new int*[n * n];

36         for (i = 1; i < n; ++i) {

37             dp[i] = &dp[0][0] + i * n;

38         }

39         dp[0][0] = new int[n * n * n];

40         for (i = 1; i < n * n; ++i) {

41             dp[i / n][i % n] = &dp[0][0][0] + i * n;

42         }

43         

44         for (i = 0; i < n; ++i) {

45             for (j = 0; j < n; ++j) {

46                 for (k = 0; k < n; ++k) {

47                     dp[i][j][k] = 0;

48                 }

49             }

50         }

51         

52         for (i = 0; i < n; ++i) {

53             for (j = 0; j < n; ++j) {

54                 if (s1[i] == s2[j]) {

55                     dp[0][i][j] = 1;

56                 }

57             }

58         }

59         for (i = 1; i < n; ++i) {

60             for (j = 0; j + i < n; ++j) {

61                 for (k = 0; k + i < n; ++k) {

62                     for (m = 0; m < i; ++m) {

63                         dp[i][j][k] = (dp[m][j][k] && dp[i - m - 1][j + m + 1][k + m + 1]) || 

64                                       (dp[m][j][k + i - m] && dp[i - m - 1][j + m + 1][k]);

65                         if (dp[i][j][k]) {

66                             break;

67                         }

68                     }

69                 }

70             }

71         }

72         int result = dp[n - 1][0][0];

73         

74         delete[] dp[0][0];

75         dp[0][0] = nullptr;

76         delete[] dp[0];

77         dp[0] = nullptr;

78         delete[] dp;

79         dp = nullptr;

80         

81         return result == 1;

82     }

83 };