滑动窗口Sliding Window Algorithm
2021-03-06 19:26
标签:let input 嵌套循环 元素 ref nbsp string i++ 滑动 应用及优点: 1.可用于解决数组或者字符串的子元素问题。 2.用单循环代替了嵌套循环问题,时间复杂度低。 3.用双指针维护动态窗口。 相关算法题: 以“Find All Anagrams in a String”为例: Given a string s and a non-empty string p, find all the start indices of p‘s anagrams in s. Strings consists of lowercase English letters only and the length of both strings s and p will not be larger than 20,100.The order of output does not matter. Example 1: 滑动窗口Sliding Window Algorithm 标签:let input 嵌套循环 元素 ref nbsp string i++ 滑动 原文地址:https://www.cnblogs.com/NeverGiveUp0/p/12850775.html Longest Substring Without Repeating Characters无重复最长子串
Find All Anagrams in a String(找到字符串中所有字母异位词)
Minimum Window Substring最小覆盖子串
209. Minimum Size Subarray Sum长度最小子数组
Input:
s: "cbaebabacd" p: "abc"
Output:
[0, 6]
class Solution {
public List
文章标题:滑动窗口Sliding Window Algorithm
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