Design and implement a data structure for Least Frequently Used (LFU) cache. It should support the following operations: get and put. get(key) - Get the value (will always be positive) of the key if the key exists in the cache, otherwise return -1. put(key, value) - Set or insert the value if the key is not already present. When the cache reaches its capacity, it should invalidate the least frequently used item before inserting a new item.
Design your implementation of the circular double-ended queue (deque). Your implementation should support following operations: MyCircularDeque(k): Constructor, set the size of the deque to be k. insertFront(): Adds an item at the front of Deque. Return true if the operation is successful. insertLast(): Adds an item at the rear of Deque. Return true if the operation is successful. deleteFront(): Deletes an item from the front of Deque. Return true if the operation is successful.
Design your implementation of the circular queue. The circular queue is a linear data structure in which the operations are performed based on FIFO (First In First Out) principle and the last position is connected back to the first position to make a circle. It is also called “Ring Buffer”. One of the benefits of the circular queue is that we can make use of the spaces in front of the queue.
Convert a BST to a sorted circular doubly-linked list in-place. Think of the left and right pointers as synonymous to the previous and next pointers in a doubly-linked list. Let’s take the following BST as an example, it may help you understand the problem better: We want to transform this BST into a circular doubly linked list. Each node in a doubly linked list has a predecessor and successor. For a circular doubly linked list, the predecessor of the first element is the last element, and the successor of the last element is the first element.
Design and implement a data structure for Least Recently Used (LRU) cache. It should support the following operations: get and put. get(key) - Get the value (will always be positive) of the key if the key exists in the cache, otherwise return -1. put(key, value) - Set or insert the value if the key is not already present. When the cache reached its capacity, it should invalidate the least recently used item before inserting a new item.