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.
目前 Leetcode 上最难的 DP 题,三维 DP。
answer[i][j][k] 表示 S1.substr(i,k) 与 S2.substr(j,k) 是否互为 scramble string。
DP 的状态方程与代码参考:http://blog.youkuaiyun.com/sunjilong/article/details/8266313
然而对这道题而言,用递归远比 DP 来得直观;普通的递归会大集合超时,然而在加入剪枝后,performance 似乎也与 DP 差不离了。
class Solution {
public:
bool isScramble(string s1, string s2) {
// Start typing your C/C++ solution below
// DO NOT write int main() function
assert(s1.length()==s2.length());
//base case
if(s1==s2) return true;
//剪枝
string sort1 = s1, sort2 = s2;
sort(sort1.begin(),sort1.end());
sort(sort2.begin(),sort2.end());
if(sort1!=sort2) return false;
for(int i=1;i<s1.length();i++)
{
string subStr11 = s1.substr(0,i);
string subStr12 = s1.substr(i);
string subStr21 = s2.substr(0,i);
string subStr22 = s2.substr(i);
if(isScramble(subStr11,subStr21)&&isScramble(subStr12,subStr22))
return true;
subStr21 = s2.substr(s2.length()-i);
subStr22 = s2.substr(0,s2.length()-i);
if(isScramble(subStr11,subStr21)&&isScramble(subStr12,subStr22))
return true;
}
return false;
}
};
本文探讨了如何使用动态规划(DP)和递归来解决字符串乱序问题,对比了两种方法的效率,并提供了代码实现。通过实例分析,展示了如何判断两个字符串是否为彼此的乱序字符串。
397

被折叠的 条评论
为什么被折叠?



