Implement LRU Cache - Object Oriented System Design Interview Preparation - Leetcode 146 - Java

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Design a LRU or Least Recently Used Cache - Leetcode 146 Java
#leetcodejava #codinginterviewprep #java #objectorientedprogramming #interview #coding #codinginterviewprep #faangcodinginterviewpreparation #faangpreparation #algorithms #algorithm

Problem Statement with Detail Solution atWebsite:

It is demonstrated how this data structure helps optimize real-world applications by efficiently managing cached data.

If you like quicker implementation for Leetcode, You can watch directly from here:

17:06 Showing an alternate way of implementing using a Linked Hashset (#leetcode)

In this Video, I have designed and implemented a Least Recently Used Cache that can serve GET and PUT operation in O(1) time complexity. For efficient lookup, I have used a HashMap and for cache eviction I have used a Double Ended LinkedList that can also serve as Queue. New elements are added at the end of the queue and for cache eviction I am removing elements from the beginning of the queue.

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Timecode:

0:00 Intro to Design LRU Cache
0:37 Problem Statement from Leetcode
1:43 Understand The Problem with an example
5:07 Constraints for this problem
5:40 Walk through the code implementation
15:24 Running the code in browser for simple test cases
16:04 Showing actual time taken to run along with consumed memory
17:06 Showing an alternate way of implementing using a Linked Hashset

Problem statement with detail article:

Github Link:

@code_design

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