LRU Cache
Medium
|
Design
Hash Table
Linked List
OOP
|
Solved: Feb 24, 2026
Complexity Analysis
Time Complexity: O(1)
Space Complexity: O(capacity)
Problem Description
Design a data structure that follows the constraints of a Least Recently Used (LRU) cache.
Implement the LRUCache class:
LRUCache(int capacity)Initialize the LRU cache with positive sizecapacity.int get(int key)Return the value of thekeyif the key exists, otherwise return-1.void put(int key, int value)Update the value of thekeyif thekeyexists. Otherwise, add thekey-valuepair to the cache. If the number of keys exceeds thecapacityfrom this operation, evict the least recently used key.
The functions get and put must each run in O(1) average time complexity.
Approach
We can combine a Hash Map (for O(1) lookups) and a Doubly Linked List (for O(1) removals and additions).
- Node class to hold key, value, prev, next
- Head and Tail dummy nodes in the Doubly Linked List to ease boundary operations.
Solution
// Add your implementation here...
class LRUCache {
public LRUCache(int capacity) {
}
public int get(int key) {
return -1;
}
public void put(int key, int value) {
}
}