MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Priority queue can be implemented using an array, a linked list, a heap data structure, or a binary search tree. Among these data structures, heap data structure provides an efficient implementation of priority queues. Hence, we will be using the heap data structure to implement the priority queue in this tutorial.

Detailed explanation-2: -The binary heap is the most efficient method for implementing the priority queue in the data structure.

Detailed explanation-3: -Max Priority Queue is based on the structure of max heap and can perform following operations: maximum(Arr) : It returns maximum element from the Arr.

Detailed explanation-4: -Heaps are great for implementing a priority queue because of the largest and smallest element at the root of the tree for a max-heap and a min-heap respectively. We use a max-heap for a max-priority queue and a min-heap for a min-priority queue. There are mainly 4 operations we want from a priority queue: 1.

Detailed explanation-5: -A priority queue is an abstract data structure like a list or a map; just as a list can be implemented with a linked list or with an array, a priority queue can be implemented with a heap or another method such as an unordered array.