【题目】
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.
【解析】题意:判断两个字符串是否能通过二叉树的左右子树交换相等。
【递归解法】
其实也是暴力遍历,把s1,s2分别分成两部分,判断s1的两部分和s2的两部分是否分别可以交换相等。
public class Solution { public boolean isScramble(String s1, String s2) { if (s1.length() != s2.length()) return false; if (s1.equals(s2)) return true; char[] c1 = s1.toCharArray(); char[] c2 = s2.toCharArray(); Arrays.sort(c1); Arrays.sort(c2); if (!Arrays.equals(c1, c2)) return false; for (int i = 1; i < s1.length(); i++) { if (isScramble(s1.substring(0, i), s2.substring(0, i)) && isScramble(s1.substring(i), s2.substring(i))) return true; if (isScramble(s1.substring(0, i), s2.substring(s2.length() - i)) && isScramble(s1.substring(i), s2.substring(0, s2.length() - i))) return true; } return false; } }
参考:https://leetcode.com/discuss/3632/any-better-solution
【动态规划解法】
这道题用二维数组来存储中间结果已经不行了,需要一个三维数组 dp[i][j][len],表示从s1的第i个字符开始长度为len的子串,和从s2的第j个字符开始长度为len的子串,是否互为scramble。
初始化为dp[i][j][1] = s1.charAt(i) == s2.charAt(j),即长度为1的子串是否互为scramble。
三维数组就要三层循环,最终结果为dp[0][0][s1.length()],即从s1的第0个字符开始长度为s1.length()的子串,即s1本身和s2本身是否互为scramble。
要判断dp[i][j][len]的值,就要把s1从i开始长度为len的串分别从k=1, 2 ... len-1处切开,判断切成的两半和s2同样切成的两半是否互为scramble,只要有一种切法满足条件,那么dp[i][j][len]就为true,否则为false。
public class Solution { public boolean isScramble(String s1, String s2) { if (s1.length() != s2.length()) return false; if (s1.equals(s2)) return true; boolean[][][] dp = new boolean[s1.length()][s2.length()][s1.length() + 1]; 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); } } for (int len = 2; len <= s1.length(); len++) { for (int i = 0; i < s1.length() - len + 1; i++) { for (int j = 0; j < s2.length() - len + 1; j++) { for (int k = 1; k < len; k++) { dp[i][j][len] |= dp[i][j][k] && dp[i + k][j + k][len - k] || dp[i][j + len - k][k] && dp[i + k][j][len - k]; } } } } return dp[0][0][s1.length()]; } }
参考:http://blog.csdn.net/linhuanmars/article/details/24506703