一. Scramble String
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.
Difficulty:Hard
TIME:36MIN
解法(深度優先搜索)
一開始看到這道題以爲很難,其實仔細思考了一下,發現也並不是特別難。
既然是一個樹形結構,那麼當然很容易就想到了遞歸。這道題的關鍵在於翻轉,可以翻轉一次,當然也可以翻轉兩次。翻轉兩次後就和原字符串等價了。
比如對於字符串great,如果我拆分成gr和eat兩個字符串,那麼我可以翻轉一次變爲eatgr,也可以此翻轉兩次變成great,所以要分兩種情況考慮。
bool isScramble(string s1, string s2) {
string t1 = s1;
string t2 = s2;
sort(t1.begin(), t1.end()); //如果字符串很長可以改爲計數排序
sort(t2.begin(), t2.end());
if(t1 != t2)
return false;
int len = s1.size();
if(len <= 3) //長度小於等於3而且字符相同,必定可以通過翻轉得到
return true;
for(int i = 1; i < len; i++) {
/*假設翻轉一次*/
if(isScramble(s1.substr(0, i), s2.substr(len - i)) && isScramble(s1.substr(i), s2.substr(0, len - i)))
return true;
/*假設翻轉兩次*/
if(isScramble(s1.substr(0, i), s2.substr(0, i)) && isScramble(s1.substr(i), s2.substr(i)))
return true;
}
return false;
}
代碼的時間複雜度小於
優化(帶備忘的深度優先搜索)
其實仔細看一下代碼,就可以發現我們重複計算了很多之前已經計算過的值。因此,我們可以採用帶備忘的深度優先搜索來提升代碼的運行效率。
具體做法是採用一個map來記錄兩個子串的求值結果。
bool isScramble(string s1, string s2) {
unordered_map<string, bool> m; //用來記錄兩個子串是否出現過
return isScramble(s1, s2, m);
}
bool isScramble(string s1, string s2, unordered_map<string, bool> &m) {
int len = s1.size();
bool result = false;
if(len == 0)
return true;
else if(len == 1)
return s1 == s2;
else if(m.find(s1 + s2) != m.end())
return m[s1 + s2];
result = s1 == s2;
for (int k = 1; k < len && !result; k++) {
result = result || isScramble(s1.substr(0, k), s2.substr(len - k), m) && isScramble(s1.substr(k), s2.substr(0, len - k), m);
result = result || isScramble(s1.substr(0, k), s2.substr(0, k), m) && isScramble(s1.substr(k), s2.substr(k), m);
}
m[s1 + s2] = result;
return m[s1 + s2];
}
代碼的時間複雜度約爲