Mathematical Modeling of Physical Systems: An Introduction
- 8h 56m
- Diran Basmadjian
- Oxford University Press (US) Engineering
- 2003
The aim of this text is to provide the beginning student or professional with introduction to the topic in an easily understood student friendly manner. It is based on the premise that modeling is as much art as it is science and that mastering the art can only be achieved by sustained practice. To provide that practice, the text contains some 100 odd worked examples as well as numerous practice problems drawn from variety of disciplines. They range from classical examples such as Euler's treatment of the buckling of the strut, to the contemporary topics of silicon chip manufacturing and the dynamics of the human immunodeficiency virus (HIV). Other examples are drawn from mechanical, electrical, chemical and environmental engineering disciplines as well as from the fields of economics, physics and chemistry. The mathematics required are confined to simple treatment of vector algebra, matrix operations and the solutions of ordinary differential equations. Both analytical and numerical methods are taken up and are described in sufficient detail to serve as a learning tool for the beginner or as a refresher for the informed reader. The text is designed for 3rd and 4th yr students in all engineering disciplines as well as mathematics, physics and chemistry. It should also serve as a welcome addition to libraries of practicing professionals.
About the Author
Diran Basmadjian is Professor (Emeritus) of Chemical Engineering and Applied Chemistry at the University of Toronto. He has combined his research interest in the separation seiences, biomedical engineering, and applied mathematics with a keen interest in teaching Professor Basmadjian is an author of two books and over forty journal papers in the areas of adsorption, biochemical engineering, and mathematical modeling.
In this Book
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Getting Started and Beyond
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Some Mathematical Tools
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Geometrical Concepts
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The Effect of Forces
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Compartmental Models
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One-Dimensional Distributed Systems
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Some Simple Networks
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More Mathematical Tools-Dimensional Analysis and Numerical Methods