DS Lab: Binary Search Trees (BST) in Java | Insert, Search & Delete with Examples

📄 Welcome to the Data Structures Lab – Binary Search Trees (BST) in Java! In this lecture, we dive into the Binary Search Tree, a fundamental data structure for efficient searching, insertion, and deletion. You will learn how to implement BSTs in Java, perform key operations, and solve practical problems using recursion. ✔ Topics Covered in This Lecture 1. BST Basics - Definition and properties of a BST - Difference between binary trees and BSTs - Node class and tree structure - Example BST construction 2. Core BST Operations - Insert: Adding nodes while maintaining BST ordering - Search: Efficient value lookup using tree properties - Delete: Handling leaf nodes, single-child nodes, and nodes with two children - Inorder traversal: Verifying sorted order after operations 3. Example Demonstrations - Step-by-step Java implementation of insert, search, and delete - Visual diagrams of tree structure and operations - Detailed explanation of recursion in each method 4. Activities for Students (to solve independently) - Find minimum and maximum value in a BST - Validate if a binary tree is a BST - Count nodes within a given range - Convert a sorted array to a balanced BST 📌 GitHub – Full Code & Activities Repository link: https://github.com/Maryam-Skaik/java-ds-lab-bst Contains: - BST class with insert, search, and delete - Student activities (without solutions) - Lecture slides & Mermaid diagrams 📘 This is Lecture 7 of the DS Lab series. Follow along in your IDE (NetBeans / VS Code / IntelliJ) and practice each example to strengthen your understanding. #Java #DataStructures #BinarySearchTree #BST #Insert #Search #Delete #Recursion #DSLab #JavaProgramming #MaryamSkaik #TreeAlgorithms