Advantages of Binary Search Tree
- Because of the unique properties of BST, it provides an efficient way to search an element having O(log n) time complexity.
- The In-Order Traversal of BST is always in a sorted order. So, it becomes easier to retrieve elements in sorted order in a BST.
- It can adapt to various applications by defining a custom node structure.
- Balanced Binary search tree have logarithmic height that ensures efficient operations.
- It stores only the key values, that makes them space-efficient.
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++.
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