Given an array of integers nums and an integer limit, return the size of the longest continuous subarray such that the absolute difference between any two elements is less than or equal to limit.

In case there is no subarray satisfying the given condition return 0.

Example 1:

Input: nums = [8,2,4,7], limit = 4
Output: 2
Explanation: All subarrays are:
[8] with maximum absolute diff |8-8| = 0 <= 4.
[8,2] with maximum absolute diff |8-2| = 6 > 4.
[8,2,4] with maximum absolute diff |8-2| = 6 > 4.
[8,2,4,7] with maximum absolute diff |8-2| = 6 > 4.
[2] with maximum absolute diff |2-2| = 0 <= 4.
[2,4] with maximum absolute diff |2-4| = 2 <= 4.
[2,4,7] with maximum absolute diff |2-7| = 5 > 4.
[4] with maximum absolute diff |4-4| = 0 <= 4.
[4,7] with maximum absolute diff |4-7| = 3 <= 4.
[7] with maximum absolute diff |7-7| = 0 <= 4.
Therefore, the size of the longest subarray is 2.

Example 2:

Input: nums = [10,1,2,4,7,2], limit = 5
Output: 4
Explanation: The subarray [2,4,7,2] is the longest since the maximum absolute diff is |2-7| = 5 <= 5.

Example 3:

Input: nums = [4,2,2,2,4,4,2,2], limit = 0
Output: 3

Constraints:

  • 1 <= nums.length <= 10^5
  • 1 <= nums[i] <= 10^9
  • 0 <= limit <= 10^9

题意:

  给出一个数组,求连续子串的最大长度,所求的子串要求满足 |max_element - min_element| < limit

思路:

  用两个双向队列来模拟,max_deque用来存储当前所在位置之前元素的最大值,min_deque用来存储当前所在位置之前所有元素的最小值。用两个指针leftPointer和rightPointer来寻找最长的subArray,通过对rightPointer向后迭代,更新max_deque 和 min_deque,同时通过shrink leftPointer来使subArray满足题目要求。

Code:

 1 class Solution {
2 public:
3 int longestSubarray(vector<int>& nums, int limit) {
4 deque<int> max_deque, min_deque;
5 int left = 0, ans = 0;
6 for (int right = 0; right < nums.size(); ++right) {
7 while (!max_deque.empty() && max_deque.back() < nums[right])
8 max_deque.pop_back();
9 while (!min_deque.empty() && min_deque.back() > nums[right])
10 min_deque.pop_back();
11 max_deque.push_back(nums[right]);
12 min_deque.push_back(nums[right]);
13 while (max_deque.front() - min_deque.front() > limit) {
14 if (max_deque.front() == nums[left]) max_deque.pop_front();
15 if (min_deque.front() == nums[left]) min_deque.pop_front();
16 left++;
17 }
18 ans = max(ans, right - left + 1);
19 }
20 return ans;
21 }
22 };

参考:

  https://leetcode.com/problems/longest-continuous-subarray-with-absolute-diff-less-than-or-equal-to-limit/discuss/609743/Java-Detailed-Explanation-Sliding-Window-Deque-O(N)

1438. Longest Continuous Subarray With Absolute Diff Less Than or Equal to Limit的更多相关文章

  1. 【LeetCode】1438. 绝对差不超过限制的最长连续子数组 Longest Continuous Subarray With Absolute Diff Less Than or Equal t

    作者: 负雪明烛 id: fuxuemingzhu 个人博客:http://fuxuemingzhu.cn/ 目录 题目描述 题目大意 解题方法 滑动窗口 日期 题目地址:https://leetco ...

  2. [Swift]LeetCode674. 最长连续递增序列 | Longest Continuous Increasing Subsequence

    Given an unsorted array of integers, find the length of longest continuous increasing subsequence (s ...

  3. [LeetCode&Python] Problem 674. Longest Continuous Increasing Subsequence

    Given an unsorted array of integers, find the length of longest continuousincreasing subsequence (su ...

  4. [LeetCode] 674. Longest Continuous Increasing Subsequence_Easy Dynamic Programming

    Given an unsorted array of integers, find the length of longest continuous increasing subsequence (s ...

  5. 674. Longest Continuous Increasing Subsequence最长连续递增子数组

    [抄题]: Given an unsorted array of integers, find the length of longest continuous increasing subseque ...

  6. 674. Longest Continuous Increasing Subsequence@python

    Given an unsorted array of integers, find the length of longest continuous increasing subsequence (s ...

  7. LeetCode 674. Longest Continuous Increasing Subsequence最长连续递增序列 (C++/Java)

    题目: Given an unsorted array of integers, find the length of longest continuous increasing subsequenc ...

  8. LeetCode 674. 最长连续递增序列(Longest Continuous Increasing Subsequence) 18

    674. 最长连续递增序列 674. Longest Continuous Increasing Subsequence 题目描述 给定一个未经排序的整型数组,找到最长且连续的递增序列. Given ...

  9. [LC] 674. Longest Continuous Increasing Subsequence

    Given an unsorted array of integers, find the length of longest continuous increasing subsequence (s ...

随机推荐

  1. 太上老君的炼丹炉之分布式 Quorum NWR

    分布式系列文章: 1.用三国杀讲分布式算法,舒适了吧? 2.用太极拳讲分布式理论,真舒服! 3.诸葛亮 VS 庞统,拿下 Paxos 共识算法 4.用动图讲解分布式 Raft 5.韩信大招:一致性哈希 ...

  2. Python flask-restful框架讲解

    Restful 是 Flask 的扩展,增加了对快速构建 REST api 的支持.它是一个轻量级的概念,与您现有的 ORM/librarie 一起工作.Restful 鼓励最小化设置的最佳实践.如果 ...

  3. python3+tkinter实现的黑白棋,代码完整 100%能运行

    今天分享给大家的是采用Python3+tkinter制作而成的小项目--黑白棋 tkinter是Python内置的图形化模块,简单易用,一般的小型UI程序可以快速用它实现,具体的tkinter相关知识 ...

  4. golang——win10环境protobuf的使用

    1.protobuf配置 (1)https://github.com/protocolbuffers/protobuf/releases (2)选择适合的版本:protoc-3.8.0-win64.z ...

  5. 助力面试之ConcurrentHashMap面试灵魂拷问,你能扛多久

    目录 前言 ConcurrentHashMap 原理 JDK1.8 版本 ConcurrentHashMap 做了什么改进 为什么 key 和 value 不允许为 null ConcurrentHa ...

  6. Java高并发编程基础三大利器之CountDownLatch

    引言 上一篇文章我们介绍了AQS的信号量Semaphore<Java高并发编程基础三大利器之Semaphore>,接下来应该轮到CountDownLatch了. 什么是CountDownL ...

  7. Mysql被黑客攻击了?一定要注意一点,不要关闭mysql服务

    因为mysql没有关闭的情况,可以从缓存里面获取到数据,如果关闭了只能从文件里面去获取数据了,会大大加大恢复难度

  8. Java面向对象(一些问题)

    2. Java 面向对象 2.1. 类和对象 2.1.1. 面向对象和面向过程的区别 面向过程 :面向过程性能比面向对象高. 因为类调用时需要实例化,开销比较大,比较消耗资源,所以当性能是最重要的考量 ...

  9. vue中的.sync修饰符用法

    在项目中接触到父组件传值给子组件的时候,想在子组件改变父组件传的值.(比如用于弹窗关闭) 但是正常来说,vue2是不允许子组件直接改父组件传进去的值的. 所以我们需要在子组件内定义自定义事件,通知父组 ...

  10. ELK查询命令详解总结

    目录 ELK查询命令详解 倒排索引 倒排索引原理 分词器介绍及内置分词器 使用ElasticSearch API 实现CRUD 批量获取文档 使用Bulk API 实现批量操作 版本控制 什么是Map ...