Difference between Min Heap and Max Heap

Min Heap Vs. Max Heap: Explore the difference between Min Heap and Max Heap

In computer science, a heap is like a tree-based data structure that provides admittance to the minimum and maximum component in the tree in fixed time. There are two types of heaps: Min-heap and Max-heap. As the name implies, the min-heap is used to obtain the minimum component in the heap, on the other hand, the max-heap is used to access the maximum component in the heap. Let’s analyze more differences between min-heap and max-heap.

What is Min Heap?

In the case of min-heap, the root or parent node is generally lesser in value as compared to the children nodes. Also, in Min-heap, the root always contains the minimum key element.

What is Max Heap?

In the case of Max-Heap, the root or parent node is generally greater as compared to the children nodes. Unlike the min-heap, the root contains the maximum key element.

Difference between Min Heap and Max Heap

S.No.

Min Heap

Max Heap

1.

In the case of min-heap, the root or parent node is generally lesser in value as compared to the children nodes.

In the case of Max-Heap, the root or parent node is generally greater as compared to the children nodes. Unlike the min-heap, the root contains the maximum key element.

2.

In Min-heap, the root always contains the minimum key element.

In Max-heap, the root always contains the maximum key element.

3.

The smallest component counts as priority while constructing a Min-heap.

The largest component counts as priority while constructing a Max-heap.

4.

Here the smallest component jumped first from the heap.

Here the largest component jumped first from the heap.

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