Mathematics for Dynamic Modeling |  | Author: Edward J. Beltrami
Publisher: Academic Pr
Category: Book
List Price: $57.00
Buy New: $8.00
You Save: $49.00 (86%)
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Rating:  1 reviews
Sales Rank: 1109293
Media: Hardcover
Pages: 277
Number Of Items: 1
Shipping Weight (lbs): 1.5
Dimensions (in): 9.5 x 6.5 x 1
ISBN: 0120855550
Dewey Decimal Number: 003
EAN: 9780120855551
Publication Date: September 1987
Availability: Usually ships in 1-2 business days
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Product Description
This new edition of Mathematics for Dynamic Modeling updates a widely used and highly-respected textbook. The text is appropriate for upper-level undergraduate and graduate level courses in modeling, dynamical systems, differential equations, and linear multivariable systems offered in a variety of departments including mathematics, engineering, computer science, and economics. The text features many different realistic applications from a wide variety of disciplines.
The book covers important tools such as linearization, feedback concepts, the use of Liapunov functions, and optimal control. This new edition is a valuable tool for understanding and teaching a rapidly growing field. Practitioners and researchers may also find this book of interest.
* Contains a new chapter on stability of dynamic models
* Covers many realistic applications from a wide variety of fields in an accessible manner
* Provides a broad introduction to the full scope of dynamical systems
* Incorporates new developments such as new models for chemical reactions and autocatalysis
* Integrates MATLAB throughout the text in both examples and illustrations
* Includes a new introduction to nonlinear differential equations
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| Customer Reviews:
more modeling concepts September 18, 1999
pyramidl@trilobyte.net (Tooele, Ut.)
10 out of 10 found this review helpful
This is not a new cover on an older book. Having enjoyed Beltrami's first book I was glad to see a second. The new continues the subject of modeling not math. Well written, the author's book ties the conceptual difficulites of the subjects with the necessary math to get the point accross and guide the reader to new frontiers of insight again in the sense of the physical model not the math. This is a very important point! One does not lose sight of the over-all objective as with some math intensive proof types. The beauty of the work is getting the necessary across with the least. One disappointment though. The book was to short. I hope the author continues another work. Perhaps some more indepth of previous covered material. All examples and problems are easily solved in Mathcad, which already has the depth but sometimes not the explanation.
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