Applications of BST
- Graph algorithms: BSTs can be used to implement graph algorithms, such as in minimum spanning tree algorithms.
- Priority Queues: BSTs can be used to implement priority queues, where the element with the highest priority is at the root of the tree, and elements with lower priority are stored in the subtrees.
- Self-balancing binary search tree: BSTs can be used as a self-balancing data structures such as AVL tree and Red-black tree.
- Data storage and retrieval: BSTs can be used to store and retrieve data quickly, such as in databases, where searching for a specific record can be done in logarithmic time.
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: