LRU Cache
Understand and implement the Least Recently Used cache algorithm by creating a class with set and get methods. Learn to manage cache capacity by evicting the least recently used items, enhancing your problem-solving skills with custom data structures for coding interviews.
We'll cover the following...
Statement
Implement an LRU cache class with the following functions:
- Init(capacity): Initializes an LRU cache with the capacity size.
- Set(key, value): Adds a new key-value pair or updates an existing key with a new value.
- Get(key): Returns the value of the key, or if the key does not exist.
If the number of keys has reached the cache capacity, evict the least recently used key and then add the new key.
As caches use relatively expensive, faster memory, they are not designed to store very large data sets. Whenever the cache becomes full, we need to evict some data from it. There are several caching algorithms to implement a cache eviction policy. LRU is a very simple and commonly used algorithm. The core concept of the LRU algorithm is to evict the oldest data from the cache to accommodate more data. ...