Advanced Mathematics in Computing, Communication and Security (eBook)

Dipti Jadhav, Pritam Wani, Narendrakumar Dasre, M. Niranjanamurthy, Biswadip Basu Mallik (Herausgeber)

eBook Download: PDF

2025
578 Seiten
Wiley-Scrivener (Verlag)
978-1-394-30729-6 (ISBN)

Infos

Explore the cutting edge of scientific computing with this volume, which provides a comprehensive look at the interdependency between mathematics and computer science.

Within the evolving landscape of computer science, mathematics is increasingly playing a pivotal role. Disciplines like linear algebra, statistics, calculus, and discrete mathematics serve as the cornerstone for comprehension and innovation within various computer science domains. This book underscores the deep-seated interdependency between the realms of mathematics and scientific computing, exploring how each discipline mutually reinforces and advances the other. With its rich theoretical framework and analytical rigor, mathematics provides the bedrock upon which many computational concepts and methodologies are built. In turn, computer science offers a practical avenue for applying mathematical abstractions to tackle real-world problems efficiently and effectively. Cutting-edge technologies, such as scientific computing, deep learning, and computer vision, require not only a mastery of foundational mathematics, but a diverse interdisciplinary approach. This book sheds light on the burgeoning frontiers of computer science, bringing together researchers with expertise across multiple industries, making it an essential resource for beginners and experienced practitioners alike.

Dipti Jadhav, PhD is an Associate Professor in the Department of Information Technology in the Ramrao Adik Institute of Technology at D.Y. Patil University with more than 18 years of research and teaching experience. She has edited one book, authored more than 30 research papers in international journals and conferences, and holds one Australian and one German patent. Her research focuses on image processing, computer vision, pattern recognition, software engineering, machine learning, and artificial intelligence.

Pritam Wani, PhD is a Professor at the Ramrao Adik Institute of Technology. Nerul, India. She has published papers in national and international journals.

Narendrakumar Dasre, PhD is an Associate Professor of Applied Mathematics at the Ramrao Adik Institute of Technology with more than 21 years of teaching experience. He has authored and reviewed 14 national and international books and published 11 research papers in national and international journals. His areas of interest include image processing, topology, number theory, and applied mathematics.

Niranjanamurthy M., PhD is an Assistant Professor in the Department of Artificial Intelligence and Machine Learning at the BMS Institute of Technology and Management with more than 14 years of experience. He has published more than 25 books and more than 95 articles in various national and international conferences and journals. He has also filed 30 patents, six of which have been granted. His areas of interest include data science, machine learning, e-commerce and m-commerce, software testing and engineering, and cloud computing.

Biswadip Basu Mallik, PhD is an Associate Professor of Mathematics in the Department of Basic Sciences and Humanities at the Institute of Engineering and Management with more than 22 years of research and teaching experience. He has published several research papers and book chapters in various scientific journals, authored five books, edited an additional 13, and published five Indian patents. His research focuses on computational fluid dynamics, mathematical modeling, machine learning, and optimization.

Produkt-Details

• Erscheint lt. Verlag: 13.11.2025
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik
• Schlagworte: Analysis • Artificial Intelligence • Blockchain • Calculus • cryptography • Data Science • Discrete Mathematics • Image Processing • linear algebra • machine learning • Optimization • security • Signal Processing • Statistics • Video Processing
• ISBN-10: 1-394-30729-2 / 1394307292
• ISBN-13: 978-1-394-30729-6 / 9781394307296