Introduction to System Science with MATLAB
Gary Marlin Sandquist
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New - Hardcover
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Add to basketSold by Kennys Bookstore, Olney, MD, U.S.A.
AbeBooks Seller since October 9, 2009
Condition: New
Quantity: 1 available
Add to basket2022. 2nd Edition. Hardcover. . . . . . Books ship from the US and Ireland.
Seller Inventory # V9781119213963
Explores the mathematical basis for developing and evaluating continuous and discrete systems
In this revised Second Edition of Introduction to System Science with MATLABŪ, 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:
Perfect for upper-level undergraduate and graduate students in engineering, mathematics, and physical sciences, Introduction to System Science with MATLABŪ will also earn a prominent place in libraries of researchers in the life and social sciences.
Gary Marlin 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 Robert 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.
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