Explores mathematical basis for developing and evaluating continuous and discrete systems
In this revised Second Edition of Introduction to System Science with MATLAB(R), the authors Gary Sandquist and Zakary Wilde provide a comprehensive exploration of essential concepts, mathematical framework, analytical resources, and productive skills required to address any rational system confidently and adequately for quantitative evaluation.
This Second Edition is supplemented with new updates to the mathematical and technical materials from the first edition. A new chapter to assist readers to generalize and execute algorithms for systems development and analysis, as well as an expansion of the chapter covering specific system science applications, is included.
The book provides the mathematical basis for developing and evaluating single and multiple input/output systems that are continuous or discrete. It offers the mathematical basis for the recognition, definition, quantitative modeling, analysis, and evaluation in system science.
The book also provides:
- Comprehensive introduction to system science and the principles of causality, cause and effect operations, including their historical and scientific background
- Complete exploration of fundamental systems concepts and basic system equations, including definitions and classifications
- Practical applications and discussions of single-input systems, multiple-input systems, and system modeling and evaluation
- In-depth examination of generalized system analysis methods and specific system science applications
Perfect for upper-level undergraduate and graduate students in engineering, mathematics, and physical sciences. Introduction to System Science with MATLAB(R) will also earn a prominent place in libraries of researchers in the life and social sciences.
About the Author:
Gary Sandquist is Professor Emeritus in Mechanical Engineering at the University of Utah.
He owns and operates Applied Science Professionals, LLC, and is a Fellow of the American Society of Mechanical Engineering and the American Nuclear Society. His research focuses on nuclear science and engineering, risk assessment, nuclear and reactor physics, health physics, and more.
Zakary Wilde is a doctoral candidate in the Mechanical Engineering Department at Arizona State University and an engineer at Los Alamos National Laboratory. His researches focus on testing, simulation, and visualization of high-speed dynamic events as well as developing simplified models for complex physical and engineering systems.
