Data Structure Using C

Learn the fundamental concepts, need, and classification of data structures. Understand array representation, operations, memory allocation, and applications, along with the concept of sparse matrices.

Key Topics:

• Introduction and Need of Data Structures
• Classification of Data Structures (Linear & Non-linear)
• Operations on Data Structures (Insertion, Deletion, Traversal, Searching, Sorting)
• Dynamic Memory Allocation (malloc, calloc, realloc, free)
• Arrays and Their Representation in Memory
• Address Calculation in Arrays
• Applications of Arrays
• Limitations of Arrays
• Arrays as Function Parameters (Passing Arrays in Functions)
• Sparse Matrices – Concept, Representation, and Applications

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Learn the concepts and operations of stack and queue data structures, including their array representations. Understand recursion, its principles, and applications like expression evaluation and the Tower of Hanoi problem.

Key Topics:

• Stack – Definition and Array Representation
• Stack Operations – Push and Pop
• Applications of Stack (Expression Conversion and Evaluation)
• Conversion of Infix to Prefix and Postfix Expressions
• Evaluation of Postfix Expressions using Stack
• Recursion – Definition and Process
• Principles of Recursion
• Tower of Hanoi Problem
• Recursion vs. Iteration
• Queue – Array Representation, Operations (Create, Add, Delete), and Types (Circular, Dequeue, Priority Queue)

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Learn the concept, structure, and types of linked lists. Understand how to create, traverse, insert, delete, and sort nodes in different types of linked lists, along with their advantages over arrays.

Key Topics:

• Concept of Linear List
• Difference between List and Array
• Linked List Terminology and Memory Representation
• Types of Linked Lists:
• Singly Linked List
• Doubly Linked List
• Circular Linked List
• Circular Doubly Linked List
• Creating a Linked List
• Insertion in Linked List (Beginning, Middle, End)
• Deletion in Linked List (First Node, Specific Node)
• Traversing and Printing Nodes
• Searching and Counting Nodes in Linked List
• Sorting of Linked Lists

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Learn the fundamental concepts and terminologies of trees and graphs. Understand different types of binary trees, traversals, expression trees, and binary search trees along with sorting and searching techniques.

Key Topics:

• Introduction to Trees and Basic Terminology
• Binary Trees – Definition and Types
• Representation of Binary Tree in Memory
• Tree Traversals – Inorder, Preorder, Postorder
• Expression Tree and Tree Representation of Expressions
• Binary Search Tree (BST) – Concept, Insertion, and Deletion
• Graph Terminology and Representation
• Sorting Techniques – Bubble, Selection, Insertion, Shell, Quick, Merge
• Searching Techniques – Sequential (Linear) and Binary Search
• Applications of Trees and Graphs

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