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Mathematical Modeling of Physical Systems: An Introduction (Engineering & Technology), by Diran Basmadjian
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Mathematical Modeling of Physical Systems provides a concise and lucid introduction to mathematical modeling for students and professionals approaching the topic for the first time. It is based on the premise that modeling is as much an art as it is a science--an art that can be mastered only by sustained practice. To provide that practice, the text contains approximately 100 worked examples and numerous practice problems drawn from civil and biomedical engineering, as well as from economics, physics, and chemistry. Problems range from classical examples, such as Euler's treatment of the buckling of the strut, to contemporary topics such as silicon chip manufacturing and the dynamics of the human immunodeficiency virus (HIV). The required mathematics are confined to simple treatments of vector algebra, matrix operations, and ordinary differential equations. Both analytical and numerical methods are explained in enough detail to function as learning tools for the beginner or as refreshers for the more informed reader. Ideal for third-year engineering, mathematics, physics, and chemistry students, Mathematical Modeling of Physical Systems will also be a welcome addition to the libraries of practicing professionals.
- Sales Rank: #577550 in Books
- Published on: 2002-12-19
- Original language: English
- Number of items: 1
- Dimensions: 7.50" h x .90" w x 9.20" l, 1.81 pounds
- Binding: Hardcover
- 368 pages
About the Author
Diran Basmadjian is Professor (Emeritus) of Chemical Engineering and Applied Chemistry at the University of Toronto. He is the author of two books and over forty journal papers in the areas of adsorption, biochemical engineering, and mathematical modeling.
Most helpful customer reviews
5 of 9 people found the following review helpful.
Nice selection of topics, and level of exposition, but mistakes...
By Steven J. Wojtczuk
This book has a really nice, diversified selection of topics, and is quite readable. However, out of the three parts I looked at carefully, it is clear that one (the example on Global Positioning System) has a mathematical mistake (equations 3.13a,b,c), when solving a set of equations simultaneously in which all reference to y and z squared terms was lost on the right side of the equation. I think the book does well in explaining the big ideas, but one had better check all the details of the calculations before accepting them.
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