This concise and clear introduction to the topic requires only basic knowledge of calculus and linear algebraβall other concepts and ideas are developed in the course of the book. Lucidly written so as to appeal to undergraduates and practitioners alike, it enables readers to set up simple mathemati
Mathematical Modeling and Simulation: Introduction for Scientists and Engineers
β Scribed by Kai Velten, Dominik M. Schmidt, Katrin Kahlen
- Publisher
- WileyβVCH GmbH
- Year
- 2024
- Tongue
- English
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Learn to use modeling and simulation methods to attack real-world problems, from physics to engineering, from life sciences to process engineering
Reviews of the first edition (2009):
"Perfectly fits introductory modeling courses [...] and is an enjoyable reading in the first place. Highly recommended [...]" Zentralblatt MATH, European Mathematical Society, 2009
"This book differs from almost all other available modeling books in that [the authors address] both mechanistic and statistical models as well as 'hybrid' models. [...] The modeling range is enormous." SIAM Society of Industrial and Applied Mathematics, USA, 2011
This completely revised and substantially extended second edition answers the most important questions in the field of modeling: What is a mathematical model? What types of models do exist? Which model is appropriate for a particular problem? What are simulation, parameter...
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This concise and clear introduction to the topic requires only basic knowledge of calculus and linear algebraβall other concepts and ideas are developed in the course of the book. Lucidly written so as to appeal to undergraduates and practitioners alike, it enables readers to set up simple mathemati
This concise and clear introduction to the topic requires only basic knowledge of calculus and linear algebraβall other concepts and ideas are developed in the course of the book. Lucidly written so as to appeal to undergraduates and practitioners alike, it enables readers to set up simple mathemati
Content: <br>Chapter 1 Principles of Mathematical Modeling (pages 1β46): <br>Chapter 2 Phenomenological Models (pages 47β115): <br>Chapter 3 Mechanistic Models I: ODEs (pages 117β228): <br>Chapter 4 Mechanistic Models II: PDEs (pages 229β316):
A book on modeling and simulation exclusively based on open source software. It includes many examples from such diverse fields as biology, ecology, economics, medicine, agricultural, chemical, electrical, mechanical, and process engineering. Requiring only little mathematical prerequisite in calcul
<p><span>Learn to use modeling and simulation methods to attack real-world problems, from physics to engineering, from life sciences to process engineering</span></p><p><span>Reviews of the </span><span>first edition</span><span> (2009):</span></p><p><span>"Perfectly fits introductory modeling cours