Solving LeetCode Problem 146 - LRU Cache Implementation in C

In this video, we'll tackle the challenging LeetCode Problem 146: LRU Cache. We'll walk through the implementation of an efficient LRU (Least Recently Used) cache in C, ensuring our solution meets the O(1) time complexity for both get and put operations. We'll explore key concepts, including:

Creating and managing a doubly linked list
Utilizing a hash map for fast lookups
Handling cache capacity and eviction of least recently used items
Ensuring our code is optimized and effective
Code along with me and gain a deeper understanding of how to implement an LRU Cache from scratch. Don't forget to like, comment, and subscribe for more algorithm and data structure tutorials!

GitHub Repository:

Timestamps:
00:00 - Introduction
01:30 - Problem Explanation
03:45 - Data Structures Overview
06:20 - Creating the Node Structure
08:50 - Initializing the LRU Cache
11:30 - Implementing the get Function
15:00 - Implementing the put Function
20:00 - Handling Edge Cases
23:00 - Testing the Solution
27:30 - Conclusion

Happy coding!