{"id":8564,"date":"2022-06-21T09:56:39","date_gmt":"2022-06-21T09:56:39","guid":{"rendered":"https:\/\/www.prepbytes.com\/blog\/?p=8564"},"modified":"2022-06-28T11:28:10","modified_gmt":"2022-06-28T11:28:10","slug":"applications-of-heap-data-structures","status":"publish","type":"post","link":"https:\/\/prepbytes.com\/blog\/applications-of-heap-data-structures\/","title":{"rendered":"Applications of Heap data structures"},"content":{"rendered":"

\"\"<\/p>\n

What is Heap?<\/h3>\n

A heap is a complete binary tree, A complete binary tree is a binary tree in which all the levels are completely filled except the last level i.e. leaf node.<\/p>\n

What is a Heap Sort Algorithm?<\/h3>\n

Heap Sort is a popular sorting Algorithm that processes the element by creating the min-heap or max-heap using the given array. Min-heap or max-heap represents the ordering of the array; the value of the root element will represent the minimum or maximum element of the array.
\nThe basic concept of heap sort is to eliminate the elements one by one from the heap and then insert them in a sorted manner.<\/p>\n

How to \u201cheapify\u201d a tree?<\/h3>\n

So, we can modify the tree in the max heap or min-heap. In other words, we can say, The reshaping of a binary tree into a heap tree is called heapify.<\/p>\n

Working of Heap sort:<\/h3>\n

In heap sort, there are two phases for sorting the elements. They are as follows:<\/p>\n