Applications of Binary Search Tree
Following are the applications of binary search tree:
- BST can be used to find(an element) and sort a collection of elements in ascending or descending order and for in it.
- BSTs are used to implement priority queues where elements are inserted based on their priority number.
- BSTs are widely used in symbol tables inside compilers.
- BST can also be used to store large datasets using a particular sort key. So, searching and accessing a specific element becomes much faster.
- The Decision trees and rule-based systems in AI use Binary search trees.
- It can be used in databases for multilevel indexing.
Binary Search Tree in C++
A Binary Search Tree (BST) is a type of binary tree in which the data is organized and stored in a sorted order. Unlike, a binary tree that doesn’t follow a specific order for node placement, in a binary search tree all the elements on the left side of a node are smaller than the node itself, and elements on the right side of a node are greater.
In this article, we will learn more about the binary search tree, operations performed on BST, and implementation of BST, as well as the advantages, disadvantages, and applications of binary search tree in C++.