DATA STRUCTURE NOTES

This document contains well-structured notes on Trees, a fundamental topic in Data Structures and Algorithms (DSA) for AKTU semester exams. The content covers: Introduction to Trees – Definition, types, and real-world applications. Binary Trees – Properties, traversal techniques (Preorder, Inorder, Postorder). Binary Search Tree (BST) – Insertion, deletion, and searching operations. Balanced Trees – AVL Trees, Red-Black Trees, and their importance. Heap Data Structure – Min Heap, Max Heap, and Heap Sort. Tree Representation – Linked List vs. Array-based implementation. Common Problems & Solutions – Important coding examples and algorithms. These notes provide a conceptual and problem-solving approach, making them useful for AKTU semester exams and competitive programming.