Web Reference: LRU Cache - Design a data structure that follows the constraints of a Least Recently Used (LRU) cache [https://en.wikipedia.org/wiki/Cache_replacement_policies#LRU]. 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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