Leetcode Minimum Size Subarray Sum

本文介绍了一种算法,用于寻找给定数组中最短的连续子序列,该子序列的元素之和大于或等于一个特定的目标值。通过枚举并使用双指针技巧,实现了高效的求解。
题意:找出最短的连续数列,使其各项之和大于给定值。
思路:先判断是否存在这样的数列。枚举以每一个元素结尾的满足条件的最短数列,枚举的时候保持一个指针,指向满足条件数列开始的位置。
class Solution {
public:
    int minSubArrayLen(int s, vector<int>& nums) {
        vector <int> p(nums.size(), -1);
        int sum = 0;
        int st = 0;
        for(int i = 0; i < nums.size(); ++ i) {
            sum += nums[i];
        }
        if(sum < s) return 0;
        
        sum = 0;
        for(int i = 0; i < nums.size(); ++ i) {
            sum += nums[i];
            if(sum < s) continue;
            else {
                while(sum >= s) {
                    sum -= nums[st];
                    p[i] = st;
                    st ++;
                }
                //st --;
            }
        }
        int shortest = nums.size();
        for(int i = 0; i < nums.size(); ++ i) { //cout << p[i] << endl;
            if(p[i] != -1) {
                if(shortest > i - p[i]) shortest = i - p[i] + 1;
            }
        }
        
        return shortest;
    }
};

### 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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