Principles of Data Structures Using C and C 1st Edition by Vinu Das ISBN 8122418589 9788122418583
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Authors:Vinu V Das , Series:IT & Computer [262] , Tags:Principles of DATA STRUCTURES using C and C++ covers all the fundamental topics to give a better understanding about the subject. The study of data structures is essential to every one who comes across with computer science. This book is written in accordance with the revised syllabus for B.Tech./B.E. (both Computer Science and Electronics branches) and MCA. students of Kerala University; MG University; Calicut University; CUSAT Cochin (deemed) University. NIT Calicut (deemed) University; Anna University; UP Technical University; Amritha Viswa (deemed) Vidyapeeth; Karunya (deemed) University and Rajasthan Vidyapeeth (deemed) University. Moreover; this book covers almost all the topics of the other Indian and International Universities where this subject is there in their undergraduate and graduate programs. All effort is made to discuss the topics in the simplest possible way without loosing its qualities. , Author sort:Das, Vinu V , Languages:Languages:eng , Published:Published:May 2008 , Publisher:New Age International Publisher , Comments:Comments:It gives me immense pleasure in presenting the first edition of the book-Principles of DATA STRUCTURES Using C and C++ which is a unique text valuable for professionals that covers both theoretical and practical aspects of the data structures. The study of data structures is an essential subject of every under graduate and graduate programs related to computer science. A thorough understanding of the basics of this subject is inevitable for efficient programming. This book covers all the fundamental topics to give a better understanding about the subject. This book is written in accordance with the revised syllabus for BTech/BE (both Computer Science and Electronics branches) and MCA students of Kerala University, MG University, Calicut University, CUSAT Cochin (deemed) University, NIT Calicut (deemed) University, Anna University, UP Technical University, Amritha Viswa (deemed) Vidyapeeth, Karunya (deemed) University, Pune University, Bangalore University and Rajasthan Vidyapeeth (deemed) University. Moreover this book covers almost all the topics of the other Indian and International Universities where this subject is there in their under graduate and graduate programs
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ISBN 10: 8122418589
ISBN 13: 9788122418583
Author: Vinu Das
Principles of Data Structures Using C and C++ 1st Edition Table of contents:
Chapter 1: Introduction to Data Structures
- What is a Data Structure?
- Classification of Data Structures
- Abstract Data Types (ADT)
- The Role of Data Structures in Programming
- Basic Operations on Data Structures
Chapter 2: Basic Programming Concepts in C and C++
- Introduction to C and C++
- Variables, Data Types, and Operators
- Control Structures (If, Switch, Loops)
- Functions in C and C++
- Pointers and Memory Management
- Introduction to Object-Oriented Concepts in C++
Chapter 3: Arrays
- Introduction to Arrays
- One-Dimensional Arrays
- Multi-Dimensional Arrays
- Arrays in C and C++
- Array Applications
- Array Operations and Algorithms
Chapter 4: Linked Lists
- Introduction to Linked Lists
- Singly Linked Lists
- Doubly Linked Lists
- Circular Linked Lists
- Operations on Linked Lists
- Dynamic Memory Allocation
- Implementing Linked Lists in C and C++
Chapter 5: Stacks
- What is a Stack?
- Stack Operations: Push, Pop, Peek
- Array-Based and Linked List-Based Stack Implementation
- Applications of Stacks (Expression Evaluation, Backtracking)
- Implementing Stacks in C and C++
Chapter 6: Queues
- What is a Queue?
- Queue Operations: Enqueue, Dequeue, Front, Rear
- Array-Based and Linked List-Based Queue Implementation
- Circular Queues
- Priority Queues
- Applications of Queues
- Implementing Queues in C and C++
Chapter 7: Trees
- Introduction to Trees
- Binary Trees
- Binary Search Trees (BST)
- Tree Traversal Techniques (Inorder, Preorder, Postorder)
- AVL Trees and Balanced Trees
- B-Trees
- Tree Operations and Applications
- Implementing Trees in C and C++
Chapter 8: Graphs
- Introduction to Graphs
- Types of Graphs (Directed, Undirected, Weighted)
- Graph Representation (Adjacency Matrix, Adjacency List)
- Graph Traversal Algorithms (Depth-First Search, Breadth-First Search)
- Shortest Path Algorithms (Dijkstra, Bellman-Ford)
- Minimum Spanning Tree (Prim’s, Kruskal’s Algorithms)
- Implementing Graphs in C and C++
Chapter 9: Searching and Sorting Algorithms
- Introduction to Searching Algorithms
- Linear Search and Binary Search
- Time Complexity Analysis of Searching Algorithms
- Introduction to Sorting Algorithms
- Bubble Sort, Selection Sort, Insertion Sort
- Merge Sort, Quick Sort, Heap Sort
- Time Complexity Analysis of Sorting Algorithms
- Implementing Searching and Sorting in C and C++
Chapter 10: Hashing
- Introduction to Hashing
- Hash Functions and Hash Tables
- Collision Resolution Techniques (Chaining, Open Addressing)
- Applications of Hashing
- Implementing Hashing in C and C++
Chapter 11: Advanced Data Structures
- Introduction to Advanced Data Structures
- Heaps and Priority Queues
- Disjoint Set Union (Union-Find)
- Trie Data Structure
- Segment Trees
- B+ Trees and Red-Black Trees
- Implementing Advanced Data Structures in C and C++
Chapter 12: Algorithm Design and Analysis
- Introduction to Algorithm Design
- Divide and Conquer Strategy
- Greedy Algorithms
- Dynamic Programming
- Backtracking Algorithms
- Time and Space Complexity Analysis (Big-O Notation)
- Best, Worst, and Average Case Analysis
Chapter 13: Memory Management and Optimization
- Introduction to Memory Management
- Dynamic Memory Allocation in C and C++
- Memory Leaks and Memory Optimization Techniques
- Garbage Collection (in C++)
- Improving Algorithm Efficiency and Performance
Chapter 14: Practical Applications of Data Structures
- Data Structures in Real-World Applications
- Data Structures in Operating Systems
- File Systems and Data Structures
- Databases and Indexing
- Data Structures in Networking and Security
- Practical Project: Implementing a Data Structure-Driven Application
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