1. 概述 在处理需要检查给定数组中某些范围的答案的问题时,滑动窗口算法可能是一种非常强大的技术。 在本教程中,我们将解释滑动窗口技术及其变体,即固定窗口大小和灵活窗口大小。此外,我们将提供两种变体的示例,以便更好地理解。 2. 理论思想 滑动窗口技术背后的主要思想是将两个嵌套循环转换为单个循环。通常,该技术...
主要有以下两个常见类型的滑动窗口问题: 1.给定窗口大小 2.最小最大类问题 原理分析 举例1:给定一个字符串 S 和一个字符串 T,请在 S 中找出包含 T 所有字母的最小子串。(minimum-window-substring) 输入: S ="ADOBECODEBANC", T ="ABC"输出:"BANC" 对于这个问题我们常见的思路就是进行匹配 for(int i...
The Sliding Problem contains a sliding window which is a sub – list that runs over a Large Array which is an underlying collection of elements. 滑动窗口算法可以用以解决数组/字符串的子元素问题,它可以将嵌套的循环问题,转换为单循环问题,降低时间复杂度。 假设有数组[a b c d e f g h]一个大...
windowEnd - windowStart) return (max_length)将 x 减到 0 的最小操作数给定一个整数数组 num...
滑动窗口算法精讲(Sliding Window Algorithm) 简介 滑动窗口算法的本质是双指针法中的左右指针法,所谓滑动窗口,就像描述的那样,可以理解成是一个会滑动的窗口,每次记录下窗口的状态,再找出符合条件的适合的窗口。它可以将双层嵌套的循环问题,转换为单层遍历的循环问题。使用两个指针一左一右构成一个窗口,就可以将二维...
滑动：窗口可以按照一定的方向移动。窗口：窗口大小可以固定，也可以不固定，此时可以向外或者向内，扩容...
Let’s take a look at the solution to the described problem: algorithm maximumSumOverRangesSlidingWindow(A, n, k): // INPUT // A = array to calculate the answer for // n = length of the array // k = size of the ranges
滑动窗口算法(Sliding window algorithm) Sliding window algorithm is used to perform required operation on specific window size of given large buffer or array. 滑动窗口算法是在给定特定窗口大小的数组或字符串上执行要求的操作。 This technique shows how a nested for loop in few problems can be converted...
In the sliding window technique, we maintain a window that satisfies the problem constraints. The window is unstable if it violates the problem constraints, and it tries to stabilize by increasing or decreasing its size. Following are some of the commonly asked interview questions that use the sl...
Compensation algorithmSpeed updateIn the speed update process of the Strap-down Inertial Navigation System (SINS), an improved paddle error compensation algorithm is proposed to solve the problem that increasing the number of subsamples will reduce the system speed update frequency, but increasing the...