C++: Standard Heap vs Binary Search Tree

What are the main differences between a standard heap and a binary search tree in C++?

The main differences include structure, performance, and use cases. A heap is a complete binary tree used for priority queues, while a binary search tree (BST) maintains sorted data for efficient searching.

Can you explain the time complexity for operations in both data structures?

Sure! For a standard heap, insertion and deletion operations have a time complexity of O(log n). In a binary search tree, average case for insertion, deletion, and search is O(log n), but in the worst case (unbalanced tree), it can degrade to O(n).

Which one would you recommend for implementing a priority queue?

I would recommend using a standard heap for implementing a priority queue because it efficiently supports the required operations like insertion and extraction of the highest priority element.

Are there any scenarios where a binary search tree would be more beneficial?

Yes, a binary search tree is more beneficial when you need to maintain a sorted collection of data and perform frequent searches, insertions, and deletions.