Towards Intelligent Systems Modeling and Simulation: With Applications to Energy, Epidemiology and Risk Assessment

This book discusses the emergence of disruptive technologies and the importance of mathematics and statistics for problem-solving in the digital age. It covers a wide range of topics, including modeling and simulations of differential equations, nonlinear equations, energy, epidemiology, and risk assessment, and is aimed at postgraduate students, researchers, and scientists working in numerical modeling and simulations.

Format: Paperback / softback
Length: 435 pages
Publication date: 18 September 2022
Publisher: Springer Nature Switzerland AG

In the ever-evolving landscape of digital technology, mathematics and statistics have taken on a new significance, playing a pivotal role in solving complex problems. The emergence of disruptive technologies has revolutionized the way we approach problem-solving, leveraging sophisticated software and hardware to tackle intricate systems and processes. In the realm of Industry 4.0, where big data analytics, simulation, autonomous systems, and cloud computing dominate, the relevance of mathematics and statistics cannot be overstated. Recognizing this need, a remarkable collection of 26 chapters has been assembled by esteemed experts, making this book a valuable resource for postgraduate students, researchers, and scientists alike.

The primary focus of this book is to develop a novel system of modeling and simulations for solving a diverse range of problems, including differential equations, nonlinear equations, energy, epidemiology, and risk assessment. By employing efficient mathematical and statistical techniques, the book aims to enhance the accuracy and efficiency of numerical modeling and simulations in these fields.

This book is particularly relevant to postgraduate students who are eager to delve into the world of advanced mathematical and statistical methodologies. It provides a comprehensive foundation for those seeking to pursue careers in fields such as engineering, computer science, data science, and finance, where numerical modeling and simulations play a critical role. Researchers and scientists working in numerical modeling and simulations will also find this book invaluable, as it offers a wealth of knowledge and insights into the latest developments and applications of these techniques.

With its comprehensive coverage and expert contributions, this book is a must-have for anyone interested in advancing their understanding of mathematics and statistics in the digital age. It serves as a valuable resource for anyone seeking to stay at the forefront of innovation and problem-solving, and will undoubtedly inspire future generations of scientists and researchers.

Weight: 688g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030796082
Edition number: 1st ed. 2022