LRU Cache

In this video, we will explore the implementation of an LRU (Least Recently Used) Cache using a Doubly Linked List. The LRU Cache is a data structure designed to store key-value pairs and evict the least recently used items when it exceeds its capacity. We will walk through the key operations of this cache: get(key), which retrieves the value of a given key, and put(key, value), which adds or updates the key-value pair in the cache. When the cache reaches its capacity, it will evict the least recently used item.

The Doubly Linked List approach works by maintaining a list where the most recently used items are at the front, and the least recently used items are at the back. Whenever an item is accessed or inserted, it is moved to the front of the list. When the cache exceeds its capacity, the item at the back is removed. We will also look at an alternate approach using inbuilt doubly linked lists from the standard library, simplifying the implementation while achieving efficient operations. With this approach, both get and put operations are executed in constant time, O(1), ensuring high performance for real-world applications.

For more details, please go through - LRU Cache Implementation using Doubly Linked List