| Mathematics for Dynamic Modeling Revised Edition Contributor(s): Beltrami, Edward (Author) |
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ISBN: 0120855666 ISBN-13: 9780120855667 Publisher: Academic Press OUR PRICE: $123.75 Product Type: Hardcover - Other Formats Published: September 1997 Annotation: 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 |
| Additional Information |
| BISAC Categories: - Mathematics | Differential Equations - General - Science | Chaotic Behavior In Systems - Science | Physics - Mathematical & Computational |
| Dewey: 003.85 |
| LCCN: 97016264 |
| Physical Information: 0.88" H x 6.21" W x 9.26" (1.26 lbs) 219 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |