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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 (martin@scrivenerpublishing.com) Phillip Carmical (pcarmical@scrivenerpublishing.com)

Simulation and Analysis of Mathematical Methods in Real-Time Engineering Applications

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