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  • 【LeetCode】 子字符串思路

    在一些求字串含有固定字符最短串,含有不同字符最长子串等问题中,利用 vector<int> map(128, 0)可以解决

    题一:最短给定子串

    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.
    Seen this question in a real interview before?

    思路:

    利用map,将常用的128个ascall码都包含进去,然后将T里有的字符在map进行累加,并计数,然后在S里找子串,完全找到后计数为零,然后继续找,直到找到最短的子串。

    class Solution {
    public:
        string minWindow(string s, string t) {
            vector<int> map(128,0);
            int counter=t.size(), begin=0, end=0, min_length=INT_MAX, head = 0;
            for(auto a : t) map[a]++;
            while(end<s.size()){
                if(map[s[end++]]-- > 0) counter--;
                while(counter == 0){
                    if(min_length > end - begin) min_length = end - (head = begin); 
                    if(map[s[begin++]]++ == 0) counter++;                
                } 
            }
            return min_length == INT_MAX ? "" : s.substr(head, min_length);
        }
    };

    模板

    int findSubstring(string s){
            vector<int> map(128,0);
            int counter; // check whether the substring is valid
            int begin=0, end=0; //two pointers, one point to tail and one  head
            int d; //the length of substring
    
            for() { /* initialize the hash map here */ }
    
            while(end<s.size()){
    
                if(map[s[end++]]-- ?){  /* modify counter here */ }
    
                while(/* counter condition */){ 
                     
                     /* update d here if finding minimum*/
    
                    //increase begin to make it invalid/valid again
                    
                    if(map[s[begin++]]++ ?){ /*modify counter here*/ }
                }  
    
                /* update d here if finding maximum*/
            }
            return d;
      }

    根据模板就可以在不同的子串题中进行应用,也不是为了死搬硬套,这个只是利用map解决的思路,像递归解决排列问题一样。

    题二:最长可出现两次子串

    int lengthOfLongestSubstringTwoDistinct(string s) {
            vector<int> map(128, 0);
            int counter=0, begin=0, end=0, d=0; 
            while(end<s.size()){
                if(map[s[end++]]++==0) counter++;
                while(counter>2) if(map[s[begin++]]--==1) counter--;
                d=max(d, end-begin);
            }
            return d;
        }

    题三:最长无重复子串‘

    输出长度

    int lengthOfLongestSubstring(string s) {
            vector<int> map(128,0);
            int counter=0, begin=0, end=0, d=0; 
            while(end<s.size()){
                if(map[s[end++]]++>0) counter++; 
                while(counter>0) if(map[s[begin++]]-->1) counter--;
                d=max(d, end-begin); //while valid, update d
            }
            return d;
        }

    输出具体子串,这里加一个子串起始标志位就行,在更新长度时更新子串起始位就行

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  • 原文地址:https://www.cnblogs.com/ygh1229/p/9830132.html
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