The best data structure for implementing LRU (Least Recently Used) Cache is a Doubly Linked List with a Hash Map.

Here's why:

1. Doubly Linked List: This is used to store the keys of cache with the most recently used keys at the start of the list and the least recently used keys at the end. The advantage of using a doubly linked list is that it supports O(1) time complexity for all operations (insertion, deletion, moving an element to the start) if we have a direct reference to the node containing key.

2. Hash Map: This is used for supporting quick look-up (O(1) time complexity) to check if a key is present in the cache or not. The key in the hash map is the actual key and the value is the address of the node in the doubly linked list.

So, the combination of these two data structures provides an efficient way of implementing LRU Cache.

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The best data structure for implementing LRU (Least Recently Used) Cache is a Doubly Linked List with a Hash Map.

Here's why:

1. Doubly Linked List: This is used to store the keys of cache with the most recently used keys at the start of the list and the least recently used keys at the end. The advantage of using a doubly linked list is that it supports O(1) time complexity for all operations (insertion, deletion, moving an element to the start) if we have a direct reference to the node containing key.

2. Hash Map: This is used for supporting quick look-up (O(1) time complexity) to check if a key is present in the cache or not. The key in the hash map is the actual key and the value is the address of the node in the doubly linked list.

So, the combination of these two data structures provides an efficient way of implementing LRU Cache.

Knowee AI · Accepted Answer

The best data structure for implementing LRU (Least Recently Used) Cache is a Doubly Linked List with a Hash Map.

Here's why:

1. Doubly Linked List: This is used to store the keys of cache with the most recently used keys at the start of the list and the least recently used keys at the end. The advantage of using a doubly linked list is that it supports O(1) time complexity for all operations (insertion, deletion, moving an element to the start) if we have a direct reference to the node containing key.

2. Hash Map: This is used for supporting quick look-up (O(1) time complexity) to check if a key is present in the cache or not. The key in the hash map is the actual key and the value is the address of the node in the doubly linked list.

So, the combination of these two data structures provides an efficient way of implementing LRU Cache.

Which data structure is best suited for implementing LRU Cache?Singly Linked ListDoubly linked list with a hash mapCircular linked listArray

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