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"Data Structures Unveiled: Concepts and Applications" is a comprehensive guide designed to demystify the foundational elements of data structures and their practical applications. This book covers a wide range of data structures, from basic arrays and linked lists to more complex structures like trees, graphs, and hash tables. Each chapter provides an in-depth exploration of the theoretical concepts, coupled with real-world examples and practical exercises to reinforce learning. It then delves into linear data structures such as stacks, queues, and linked lists, explaining their operations,…mehr

Produktbeschreibung
"Data Structures Unveiled: Concepts and Applications" is a comprehensive guide designed to demystify the foundational elements of data structures and their practical applications. This book covers a wide range of data structures, from basic arrays and linked lists to more complex structures like trees, graphs, and hash tables. Each chapter provides an in-depth exploration of the theoretical concepts, coupled with real-world examples and practical exercises to reinforce learning. It then delves into linear data structures such as stacks, queues, and linked lists, explaining their operations, use cases, and implementation. Subsequent chapters cover non-linear data structures, including binary trees, binary search trees, heaps, AVL trees, and various types of graphs. The book also discusses advanced data structures like B-trees and Tree, which are crucial for efficient data retrieval and storage. In addition to the core concepts, "Data Structures Unveiled" emphasizes the applicationof these structures in solving real-world problems. It includes practical coding examples in popular programming languages, demonstrating how to implement and utilize these data structures effectively.
Autorenporträt
Dr. M. Lakshmi Prasad is a professor of Computer Science and Engineering (CSE) at the Institute of Aeronautical Engineering (IARE). He is actively involved in various areas of research and education, including Object-Oriented Programming, Competitive Programming, eHealth, Blockchain, Machine Learning, Deep Learning, and Smart Agriculture Systems.