heap vs binary search tree

Heap vs Binary Search Tree: A heap is a complete binary tree where each node's value is greater than or equal to its children's values (in a max heap), or each node's value is less than or equal to its children's values (in a min heap). It is primarily used to efficiently find and remove the root (maximum or minimum) element. A binary search tree (BST) is a binary tree where each node's value is greater than all values in its left subtree and less than all values in its right subtree. It is used for efficient searching, insertion, and deletion of elements in a sorted manner. In summary, the main difference between a heap and a binary search tree lies in their structural properties and the operations they optimize for. A heap ensures the highest or lowest element is always at the root, while a binary search tree maintains sorted order for efficient searching and insertion.

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