### What is Binary Heap?

A Binary Heap is a complete binary tree that follows a heap ordering property. The representation is done as:

** Parent Node:** (i-1)/2

**(2**

*Left Child:**i) + 1*

i) + 2

**Right Child**: (2The above table shows the indexes of the i^{th} node.

Based on the Ordering property of binary heap, it can be of two types:

**Min Heap:** In Min heap, The value of the node is greater than or equal to the value of its parent’s node. The root node is the smallest in the min-heap.

** For Example 1 :** Using the above rules of array representation we can represent a heap in the array:

For node with value 2, its index value is 1 have left child is at (2*1) + 1 = 3 i.e. node with value 3 and right child is at (2*1) + 2 = 4 i.e. node with value 7. And we can see here that, both the children are bigger than their parent node.

** For Example 2:** Using the above rules of array representation we can represent a heap in the array:

For node with value 4, its index value is 2 have left child is at (2*2) + 1 = 5 i.e. node with value 16 and right child is at (2*2) + 2 = 6 i.e. node with value 18. And we can see here that, both the children are bigger than their parent node. Also its parent node will be at (2-1)/2 = 0 i.e. node with value 2.

**Max Heap:** In Max Heap, The value of the node is smaller than or equal to the value of its parent’s node. The root node is the greatest in max Heap.

*For Example 1:*

For node with value 6, its index value is 1 have left child is at (2*1) + 1 = 3 i.e. node with value 3 and right child is at (2*1) + 2 = 4 i.e. node with value 2. And we can see here that, both the children are bigger than their parent node.

** For Example 2:** Using the above rules of array representation we can represent a heap in the array:

For node with value 14, its index value is 2 have left child is at (2*2) + 1 = 5 i.e. node with value 6 and right child is at (2*2) + 2 = 6 i.e. node with value 8. And we can see here that, both the children are smaller than their parent node. Also its parent node will be at (2-1)/2 = 0 i.e. node with value 18.

This article tried to discuss the **Array Representation of a Binary Heap**. Hope this blog helps you understand the concept. To practice more problems you can check out MYCODE | Competitive Programming at Prepbytes