Advantages
- Fast search: Searching for a specific value in a BST has an average time complexity of O(log n), where n is the number of nodes in the tree. This is much faster than searching for an element in an array or linked list, which have a time complexity of O(n) in the worst case.
- In-order traversal: BSTs can be traversed in-order, which visits the left subtree, the root, and the right subtree. This can be used to sort a dataset.
- Space efficient: BSTs are space efficient as they do not store any redundant information, unlike arrays and linked lists.
Introduction to Binary Search Tree – Data Structure and Algorithm Tutorials
Binary Search Tree is a data structure used in computer science for organizing and storing data in a sorted manner. Binary search tree follows all properties of binary tree and its left child contains values less than the parent node and the right child contains values greater than the parent node. This hierarchical structure allows for efficient Searching, Insertion, and Deletion operations on the data stored in the tree.
Table of Content
- What is Binary Search Tree?
- Properties of Binary Search Tree
- Handling duplicate values in the Binary Search Tree
- Operations performed on a BST
- 1. Searching a node in BST
- 2. Insert a node into a BST
- 3. Delete a Node of BST
- 4. Traversal (Inorder traversal of BST)
- Applications of BST
- Advantages
- Disadvantages
- FAQ’s (Frequently asked questions) on Binary Search Tree: