Heap and Priority Queue
They are the built-in form of a tree, which stores all the elements in a particular order.
There are majorly two types of Heaps or priority queues that came into action:
Min-Heap:
Elements are stored in such a way that the minimum element will always be on the top.
Max-Heap:
Elements are stored in such a way that the maximum element will always be on the top.
The time complexity of push and pop operations in heaps and priority queues is O(log(N)) and it requires O(N) space.
Top Problems related to Heap and Priority Queue
Insertion in a Priority queue -Max Heap

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Fourth Largest Element in the Array
K Most Frequent Words

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Minimum K product

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Meetings II

K-th Largest Sum Subarray

Magician and Chocolates
Median in a stream
