Question

What is the difference between a max heap and a min heap in data structure and algorithms (DSA)?

a) Max heap allows duplicates, min heap does not.
b) Max heap has the maximum element at the root, min heap has the minimum.
c) Max heap uses a linked list, min heap uses an array.
d) Max heap has faster insertion, min heap has faster deletion.

Answer 1

A max heap and min heap are both types of binary heaps that store elements in a specific order. Max heaps store the maximum element at the root, while min heaps store the minimum element at the root.

Step-by-step explanation:

A max heap and a min heap are both types of binary heaps, which are data structures that satisfy the heap property. The heap property states that for every node in the heap, the value of that node is either greater than or equal to (in the case of a max heap) or less than or equal to (in the case of a min heap) the values of its children.

The main difference between a max heap and a min heap is the order in which elements are stored. In a max heap, the maximum element is stored at the root of the heap, while in a min heap, the minimum element is stored at the root.

Max heaps and min heaps are commonly used in priority queues and can be implemented using arrays, linked lists, or other data structures. The choice of implementation depends on the specific requirements of the application.