Ebook Mathematics for Dynamic Modeling, by Edward J. Beltrami
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Mathematics for Dynamic Modeling, by Edward J. Beltrami
Ebook Mathematics for Dynamic Modeling, by Edward J. Beltrami
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This new edition of Mathematics for Dynamic covers tools such as linearization, feedback concepts, the use of Liapunov functions, and optimal control. Each chapter includes exercises, many of which expand on the material in the text.
- Sales Rank: #3030243 in Books
- Published on: 1987-09
- Original language: English
- Number of items: 1
- Dimensions: 9.50" h x 6.50" w x 1.00" l,
- Binding: Hardcover
- 277 pages
Review
"A remarkable contribution...it is not often that one finds, in the same chapter, a coherent and complementary discussion of the pumping heart, spruce budworm infestations, and terrestrial magnetic field reversal...stimulating and informative."
--A.A. Barnes, McMaster University, in PHYSICS IN CANADA
About the Author
Edward Beltrami has been a professor in the Department of Applied Mathematics and Statistics at SUNY Stony Brook for three decades. Prior to this,Dr. Beltrami worked as an engineer at the former Grumman Aerospace Corporation. He has lectured widely and spent extended periods at universities abroad, especially in Italy. With a joint appointment in the Marine Sciences Research Center at SUNY, Beltrami has wide-ranging research interests, from optimization methods in Operation Research to the dynamics of biochemical reactions in blood clotting.
Excerpt. � Reprinted by permission. All rights reserved.
New, Updated Edition Now Available!
Most helpful customer reviews
13 of 13 people found the following review helpful.
more modeling concepts
By pyramidl@trilobyte.net
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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