Mathematics in Computational Science and Engineering (eBook)
448 Seiten
John Wiley & Sons (Verlag)
978-1-119-77753-3 (ISBN)
This groundbreaking new volume, written by industry experts, is a must-have for engineers, scientists, and students across all engineering disciplines working in mathematics and computational science who want to stay abreast with the most current and provocative new trends in the industry.
Applied science and engineering is the application of fundamental concepts and knowledge to design, build and maintain a product or a process, which provides a solution to a problem and fulfills a need. This book contains advanced topics in computational techniques across all the major engineering disciplines for undergraduate, postgraduate, doctoral and postdoctoral students. This will also be found useful for professionals in an industrial setting. It covers the most recent trends and issues in computational techniques and methodologies for applied sciences and engineering, production planning, and manufacturing systems. More importantly, it explores the application of computational techniques and simulations through mathematics in the field of engineering and the sciences.
Whether for the veteran engineer, scientist, student, or other industry professional, this volume is a must-have for any library. Useful across all engineering disciplines, it is a multifactional tool that can be put to use immediately in practical applications.
This groundbreaking new volume:
* Includes detailed theory with illustrations
* Uses an algorithmic approach for a unique learning experience
* Presents a brief summary consisting of concepts and formulae
* Is pedagogically designed to make learning highly effective and productive
* Is comprised of peer-reviewed articles written by leading scholars, researchers and professors
AUDIENCE:
Engineers, scientists, students, researchers, and other professionals working in the field of computational science and mathematics across multiple disciplines
Ramakant Bhardwaj, PhD, is an associate professor of mathematics in Amity University, Kolkata, India with 15 years of teaching experience. He has published 135 research papers in reputed journals. He is also the co-author of six mathematics books, which are not only for mathematicians but written for practical applications for engineers and scientists. Satyendra Narayan, PhD, is a professor of applied computing at the Sheridan Institute of Technology and Advanced Learning in Oakville, Ontario, Canada. He has more than 35 years of teaching experience and has published several research papers in the field of computing in reputed journals. He is also the co-author of several books. Jyoti Mishra, PhD, is an associate professor in the Department of Mathematics, Gyan Ganga Institute of Technology, Jabalpur, India. She has more than ten years of teaching and research experience and has published close to 50 research papers in reputed journals. She is also the co-author of several books.
Erscheint lt. Verlag | 11.5.2022 |
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Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Mathematik ► Algebra |
Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
Schlagworte | Angewandte Mathematik • Applied mathematics • Business data processing • Computer Science • Engineering statistics • Informatik • Ingenieurwissenschaften • Mathematics • Mathematik • Statistics • Statistik • Statistik in den Ingenieurwissenschaften • Wirtschaftsinformatik |
ISBN-10 | 1-119-77753-4 / 1119777534 |
ISBN-13 | 978-1-119-77753-3 / 9781119777533 |
Haben Sie eine Frage zum Produkt? |
Größe: 14,9 MB
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