LeetCode Minimum Size Subarray Sum

本文探讨了一个经典的编程问题:在一个由正整数组成的数组中找到和大于等于给定值s的最短子数组。通过双指针技巧实现了一种高效的解决方案,并附带详细的代码解释。

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Given an array of n positive integers and a positive integer s, find the minimal length of a subarray of which the sum ≥ s. If there isn't one, return 0 instead.

For example, given the array [2,3,1,2,4,3] and s = 7,
the subarray [4,3] has the minimal length under the problem constraint.

题意:给出一个由正整数组成的数组,求其和为s的最小子数组长度

思路:先计算和>=s的下标,然后减去最左边的下标,直到其和小于s,这时,更新最小子数组长度

代码如下:

class Solution {
     public int minSubArrayLen(int s, int[] nums)
     {
         int res = nums.length;
         int lo = 0, hi = 0;
         int sum = 0;
         boolean hasMin = false;

         while (hi < nums.length)
         {
             while (sum < s && hi < nums.length)
             {
                 sum += nums[hi++];
             }

             while (sum - nums[lo] >= s)
             {
                 sum -= nums[lo++];
             }
             if (!hasMin && sum >= s) hasMin = true;
             res = Math.min(res, hi - lo);
             sum -= nums[lo++];
         }


         return hasMin ? res : 0;
     }
}

### 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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