Applications of Heap Data Structure

  • Priority Queues: Priority queues can be efficiently implemented using Binary Heap because it supports insert(), delete() and extractmax(), decreaseKey() operations in O(log N) time. 
  • Binomial Heap and Fibonacci Heap are variations of Binary Heap. These variations perform union also in O(log N) time which is an O(N) operation in Binary Heap.
  • Order statistics: The Heap data structure can be used to efficiently find the kth smallest (or largest) element in an array. You can see this gfg article to know more about the kth smallest or largest element.

Introduction to Heap – Data Structure and Algorithm Tutorials

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What is Heap Data Structure?

A Heap is a special Tree-based Data Structure in which the tree is a complete binary tree....

Types of heaps:

Generally, heaps are of two types....

Properties of Heap:

Heap has the following Properties:...

Operations Supported by Heap:

Operations supported by min – heap and max – heap are same. The difference is just that min-heap contains minimum element at root of the tree and max – heap contains maximum element at the root of the tree....

Implementation of Heap Data Structure:-

The following code shows the implementation of a max-heap....

Applications of Heap Data Structure:

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Advantages of Heaps:

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Disadvantages of Heaps:

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