76. Minimum Window Substring

本文详细解析了如何在O(n)复杂度下找到包含所有目标字符的最小子串,通过C++代码实现并附有具体示例,展示了算法的具体应用。

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Given a string S and a string T, find the minimum window in S which will contain all the characters in T in complexity O(n).

Example:

Input: S = "ADOBECODEBANC", T = "ABC"
Output: "BANC"

Note:

  • If there is no such window in S that covers all characters in T, return the empty string "".
  • If there is such window, you are guaranteed that there will always be only one unique minimum window in S.
 
AC code:
class Solution {
public:
    string minWindow(string s, string t) {
        map<char, int> m;
        for (int i = 0; i < t.length(); ++i) 
            m[t[i]]++;
        int total = t.length();
        int from = 0;
        int minn = INT_MAX;
        for (int i = 0, j = 0; i < s.length(); ++i) {
            if (m[s[i]]-- > 0) total--;
            while (total == 0) {
                if (i-j+1 < minn) {
                    minn = i-j+1;
                    from = j;
                }
                if (++m[s[j++]] > 0) total++;    
            }
        }
        return (minn == INT_MAX) ? "" : s.substr(from, minn);
    }
};
Runtime:  20 ms, faster than 45.51% of C++ online submissions for Minimum Window Substring.

 

C++ string substr()

 

转载于:https://www.cnblogs.com/ruruozhenhao/p/9839793.html

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