COMPUTER SCIENCE

Data Structures and Algorithm Analysis in C++

Name: Data Structures and Algorithm Analysis in C++
Author: Mohan Kumar Dehury, Ramkrishna Prajapati, Edited by Brian Wyvill
ISBN: 978-1-83693-282-6

By Mohan Kumar Dehury, Ramkrishna Prajapati, Edited by Brian Wyvill

Data Structures and Algorithm Analysis in C++ is a foundational topic in computer science that emphasizes efficient organization and manipulation of data using the C++ programming language. It involves understanding how different data structures-such as arrays, linked lists, stacks, queues, trees, graphs, and hash tables-store and access data. These structures form the backbone of software systems, enabling developers to solve complex computational problems effectively. Algorithm analysis, an essential counterpart to data structures, focuses on evaluating the performance of algorithms in terms of time and space complexity. This helps determine the most optimal approach for problem-solving under given constraints. In C++, objectoriented programming enhances the modularity and reusability of data structures, allowing for clean and efficient implementation. Through this study, programmers learn to apply sorting algorithms (like quicksort and mergesort), searching techniques (like binary search), and graph algorithms (such as Dijkstra's and BFS/DFS). Mastery of data structures and algorithm analysis in C++ is vital for building high-performance applications and for excelling in competitive programming, software development, and technical interviews. The synergy between theoretical concepts and practical C++ coding equips learners with a deep understanding of how to design systems that are both efficient and scalable. Data Structures and Algorithm Analysis in C++ provides a comprehensive guide to efficient algorithm design and data structure implementation using modern C++. Contents: 1. Understanding Complex Data Structures for Modern Programming, 2. Generic Function Implementation in C Using Templates, 3. Algorithmic Techniques and Foundations of Mathematical Computing, 4. Common Terms in Java and Object-Oriented Programming, 5. Lists Programming, 6. Data Structures Underpinning Binary Tree Implementation, 7. String Handling and Header File Inclusion in Programming, 8. Graphics Pipeline Works in XCG Programming, 9. Files and Exceptions in Algorithm.

About the Authors

Mohan Kumar Dehury is currently serving as an Assistant Professor at Amity University Jharkhand, bringing over a decade of teaching experience in higher education. His academic and research interests lie in Quality of Service (QoS) in Wireless Networks, Artificial Intelligence (AI), Machine Learning (ML), and Blockchain technologies. He has contributed extensively to these fields through numerous research publications in peer-reviewed journals indexed in reputed databases such as Scopus and Web of Science. In addition, Mr. Dehury has actively participated in various national and international conferences, where he has presented his work and engaged in scholarly discussions. His commitment to academic excellence and innovation is reflected in his teaching, research, and ongoing contributions to the evolving landscape of computer science and information technology. Ramkrishn Prajapati is currently serving as an Assistant Professor at Amity University Jharkhand, with over two years of teaching experience in the domain of computer science. His primary area of research lies in Artificial Intelligence (AI) and Machine Learning (ML), with a specialized focus on their applications in mental health and well-being. He is passionate about leveraging emerging technologies to address psychological and emotional challenges in modern society. Mr. Prajapati has actively contributed to academic discourse through paper presentations at national and international conferences, where he has showcased his research and engaged with fellow scholars. His academic approach is defined by a blend of theoretical depth and practical application, aimed at enhancing both learning outcomes and societal impact. With a keen interest in interdisciplinary research, he continues to explore innovative solutions at the intersection of technology and human health.

ISBN978-1-83693-282-6

PublisherAmerican Academic Publisher

Price$ 163

LanguageEnglish

FormatPDF

CategoryCOMPUTER SCIENCE