滑动窗口(sliding window)方法是一种在序列数据(如字符串、数组等)中找到满足特定条件的 连续子序列的算法。滑动窗口方法的核心思想是使用两个指针(通常称为左指针和右指针)表示当前的窗口。在遍历过程中,…
https://leetcode-cn.com/problems/sliding-window-maximum/ 题目内容 给定一个数组 nums,有一个大小为 k 的滑动窗口从数组的最左侧移动到数组的最右侧。你只可以看到在滑动窗口内的 k 个数字。滑动窗口每次只向右移动一位。 返回滑动窗口中的最大值。 输入: nums = [1,3,-1,-3,5,3,6,7], 和 k =...
Find All Anagrams in a String: https://leetcode.com/problems/find-all-anagrams-in-a-string/description/ Minimum Window Substring: https://leetcode.com/problems/minimum-window-substring/description/ Longest Substring Without Repeating Characters: https://leetcode.com/problems/longest-substring-without-...
Can you solve this real interview question? Sliding Window Median - The median is the middle value in an ordered integer list. If the size of the list is even, there is no middle value. So the median is the mean of the two middle values. * For examples
leetcode.cn/problems/sl 解题方法 俺这版 比较直接的思路,呜呜呜呜～超时了 class Solution { public int[] maxSlidingWindow(int[] nums, int k) { if (nums == null) { return null; } Queue<Integer> result = new LinkedList<>(); int len = nums.length; for (int i = 0; i < len -...
算法:Sliding Window Maximum(滑动窗口最大值) 说明 算法:Sliding Window Maximum LeetCode地址:https://leetcode.com/problems/sliding-window-maximum/ 题目: Given an array nums, there is a sliding window of size k which is moving from the very left of the arr......
480 Sliding Window Median 滑动窗口中位数 详见:https://leetcode.com/problems/sliding-window-median/description/C++:class Solution {public: vector<double> medianSlidingWindow(vector<int>& nums, int k) { vecto LeetCode html c++ 239 Sliding Window Maximum 滑动窗口最大值 给定一个数组 nums,有一个...
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/sliding-window-maximum/ 英文版:https://leetcode.com/problems/sliding-window-maximum/给定一个数组nums,有一个大小为k的滑动窗口从数组的最左侧移动到数组的最右侧。你只可以看到在滑动窗口k内的数字。滑动窗口每次只向右移动一位。返回滑动窗口最大值。 示例: 输入:nums= [1,3,-1,-3,5,3,6,7], 和...
[leetcode]480. Sliding Window Median 题目链接:https://leetcode.com/problems/sliding-window-median/description/ Median is the middle value in an ordered integer list. If the size of the list is even, there is no middle value. So the median is......