[LeetCode] 209. Minimum Size Subarray Sum

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

Example: 

Input: s = 7, nums = [2,3,1,2,4,3]
Output: 2
Explanation: the subarray [4,3] has the minimal length under the problem constraint.

长度最小的子数组。题意是给定一个含有 n 个正整数的数组和一个正整数 s ,找出该数组中满足其和 ≥ s 的长度最小的连续子数组,并返回其长度。如果不存在符合条件的连续子数组,返回 0。

还是sliding window的思路做。给两个指针left和right,也用一个变量sum记录遍历到的数字们的加和。遍历的时候一开始也是只移动右指针,当sum >= S的时候,开始试图移动左指针。所谓的最短的子数组也就是左右指针的距离最短,所以每次当sum >= S的时候,需要记录right - left的值。注意有可能最后是找不到一个子数组满足其sum >= S的,如果是这种情况,需要输出0。

时间O(n)

空间O(1)

Java实现

 1 class Solution {
 2     public int minSubArrayLen(int s, int[] nums) {
 3         int res = Integer.MAX_VALUE;
 4         int left = 0;
 5         int right = 0;
 6         int sum = 0;
 7         while (right < nums.length) {
 8             sum += nums[right];
 9             right++;
10             while (sum >= s) {
11                 res = Math.min(res, right - left);
12                 sum -= nums[left];
13                 left++;
14             }
15         }
16         return res == Integer.MAX_VALUE ? 0 : res;
17     }
18 }

JavaScript实现

 1 /**
 2  * @param {number} s
 3  * @param {number[]} nums
 4  * @return {number}
 5  */
 6 var minSubArrayLen = function (s, nums) {
 7     let left = 0;
 8     let right = 0;
 9     let sum = 0;
10     let res = Number.MAX_SAFE_INTEGER;
11     while (right < nums.length) {
12         sum += nums[right];
13         right++;
14         while (sum >= s) {
15             res = Math.min(res, right - left);
16             sum -= nums[left];
17             left++;
18         }
19     }
20     return res === Number.MAX_SAFE_INTEGER ? 0 : res;
21 };

sliding window相关题目

LeetCode 题目总结

原文地址:https://www.cnblogs.com/cnoodle/p/12376937.html