Lru Cache 146 Leetcode Java - Latest Information & Updates 2026

Web Reference: Implement the LRUCache class: LRUCache(int capacity) Initialize the LRU cache with positive size capacity. int get(int key) Return the value of the key if the key exists, otherwise return -1. void put(int key, int value) Update the value of the key if the key exists. Otherwise, add the key-value pair to the cache. In-depth solution and explanation for LeetCode 146. LRU Cache in Python, Java, C++ and more. Intuitions, example walk through, and complexity analysis. Better than official and forum solutions. We can use a doubly linked list where key-value pairs are stored as nodes, with the least recently used (LRU) node at the head and the most recently used (MRU) node at the tail. Whenever a key is accessed using get () or put (), we remove the corresponding node and reinsert it at the tail.

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L18. Implement LRU Cache

[Java] Leetcode 146. LRU Cache [Design #1]

LRU Cache | LeetCode 146 | Java | Amazon Interview Question | Double Linked list + HashMap | Stacy

LRU Cache: 146 - interview question @ google, apple, amazon, meta, microsoft

Master Java's LinkedHashMap with this LRU Cache Implementation - LeetCode 146. LRU Cache

L76. Implement LRU Cache | Linked List

Software Engineer/Developer Interview Question: 146. LRU Cache

[SOLVED!] LRU Cache - LeetCode 146 - Java

LeetCode 146 (Medium): LRU Cache | Java Solution Explained [JAVA]

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Last Updated: April 5, 2026

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