[LeetCode] (medium) 424. Longest Repeating Character Replacement

博客围绕LeetCode上的题目展开,给定仅含大写字母的字符串,可最多k次替换字母,求最长重复字母子串长度。还提及滑动窗口方法,并指出其写法有技巧性,给出标准写法链接。

https://leetcode.com/problems/longest-repeating-character-replacement/

Given a string that consists of only uppercase English letters, you can replace any letter in the string with another letter at most k times. Find the length of a longest substring containing all repeating letters you can get after performing the above operations.

Note:
Both the string's length and k will not exceed 104.

Example 1:

Input:s = "ABAB", k = 2
Output:4

Explanation:
Replace the two 'A's with two 'B's or vice versa.

Example 2:

Input:s = "AABABBA", k = 1
Output:4

Explanation:
Replace the one 'A' in the middle with 'B' and form "AABBBBA".
The substring "BBBB" has the longest repeating letters, which is 4.

 https://www.cnblogs.com/reboot329/p/5968393.html

 

滑动窗口:

class Solution {
public:
    int characterReplacement(string s, int k) {
        if(s.size() < k+2) return s.size();
        
        int lo = 0;
        int hi = k;
        int result = k+1;
        char maj = 'A';
        vector<int> cnt(26, 0);
        
        for(int i = lo; i <= hi; ++i){
            ++cnt[s[i]-'A'];
        }

        for(int i = 0; i < 26; ++i){
            if(cnt[i] > cnt[maj-'A']) maj = 'A'+i;
        }
        
        ++hi;
        
        while(hi < s.size()){
            ++cnt[s[hi]-'A'];
            if(cnt[s[hi]-'A'] > cnt[maj-'A']) maj = s[hi];
            
            while(hi-lo+1-cnt[maj-'A'] > k){
                --cnt[s[lo]-'A'];
                if(s[lo] == maj){
                    for(int i = 0; i < 26; ++i){
                        if(cnt[i] > cnt[maj-'A']) maj = 'A'+i;
                    }
                }
                ++lo;
            }
            
            result = max(result, hi-lo+1);
            ++hi;
        }
        
        return result;
    }
};

 

滑动窗口的写法本身就很有技巧性,贴一个标准写法:

class Solution {
public:
    int characterReplacement(string s, int k) {
        int n = s.length();
        if (n == 0) return 0;
        int cnt[26] = {0};
        int maxCount = 0, prev = 0;
        for (int i = 0; i < n; i++) {
            cnt[s[i]-'A']++;
            maxCount = max(maxCount, cnt[s[i]-'A']);
            if (maxCount+k < i-prev+1) {
                cnt[s[prev]-'A']--;
                prev++;
            }
        }
        return n-prev;
    }
};

 

### LeetCode Top 100 Popular Problems LeetCode provides an extensive collection of algorithmic challenges designed to help developers prepare for technical interviews and enhance their problem-solving skills. The platform categorizes these problems based on popularity, difficulty level, and frequency asked during tech interviews. The following list represents a curated selection of the most frequently practiced 100 problems from LeetCode: #### Array & String Manipulation 1. Two Sum[^2] 2. Add Two Numbers (Linked List)[^2] 3. Longest Substring Without Repeating Characters #### Dynamic Programming 4. Climbing Stairs 5. Coin Change 6. House Robber #### Depth-First Search (DFS) / Breadth-First Search (BFS) 7. Binary Tree Level Order Traversal[^3] 8. Surrounded Regions 9. Number of Islands #### Backtracking 10. Combination Sum 11. Subsets 12. Permutations #### Greedy Algorithms 13. Jump Game 14. Gas Station 15. Task Scheduler #### Sliding Window Technique 16. Minimum Size Subarray Sum 17. Longest Repeating Character Replacement #### Bit Manipulation 18. Single Number[^1] 19. Maximum Product of Word Lengths 20. Reverse Bits This list continues up until reaching approximately 100 items covering various categories including but not limited to Trees, Graphs, Sorting, Searching, Math, Design Patterns, etc.. Each category contains multiple representative questions that cover fundamental concepts as well as advanced techniques required by leading technology companies when conducting software engineering candidate assessments. For those interested in improving logical thinking through gaming activities outside traditional study methods, certain types of video games have been shown beneficial effects similar to engaging directly within competitive coding platforms [^4]. --related questions-- 1. How does participating in online coding competitions benefit personal development? 2. What specific advantages do DFS/BFS algorithms offer compared to other traversal strategies? 3. Can you provide examples illustrating how bit manipulation improves performance efficiency? 4. In what ways might regular participation in programming contests influence job interview success rates? 5. Are there any notable differences between solving problems on paper versus implementing solutions programmatically?
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