Simulation and Analysis of Mathematical Methods in Real-Time Engineering Applications
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Scrivener Publishing 100 Cummings Center, Suite 541J Beverly, MA 01915-6106
Modern Mathematics in Computer Science
Series Editors: Hanaa Hachimi, PhD, G. Suseendran, PhD, and Noor Zaman, PhD
Scope: The idea of a series of books on modern math methods used in computer science was conceived to address the great demand for information about today’s emerging computer science technologies. Modern math methods, including algorithms, encryptions, security, communication, machine learning, artificial intelligence and other math-based advanced concepts, form the backbone of these technologies and are crucial to them. Modern math plays a vital role in computing technologies by enhancing communication, computing, and extending security through different encryption algorithms. The ever-increasing demand for data storage capacity, from gigabytes to petabytes and higher, has higher requirements that need to be met. Modern math can match those requirements.
Empirical studies, theoretical and numerical analysis, and novel research findings are included in this series. The information highlighted in this series encourages cross-fertilization of ideas concerning the application of modern math methods in computer science.
Publishers at Scrivener Martin Scrivener ([email protected]) Phillip Carmical ([email protected])
Simulation and Analysis of Mathematical Methods in Real-Time Engineering Applications
Edited by
T. Ananth Kumar,
E. Golden Julie,
Y. Harold Robinson,
and
S. M. Jaisakthi
This edition first published 2021 by John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA and Scrivener Publishing LLC, 100 Cummings Center, Suite 541J, Beverly, MA 01915, USA
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Library of Congress Cataloging-in-Publication Data
ISBN 9781119785378
Cover image: Mathematical - Jevtic | Dreamstime.com
Cover design by Kris Hackerott
Set in size of 11pt and Minion Pro by Manila Typesetting Company, Makati, Philippines
Printed in the USA
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