Mathematics for Dynamic Modeling [Hardcover]

Edward J. Beltrami (Author)

Book Description

Publication Date: September 1987 | ISBN-10: 0120855550 | ISBN-13: 978-0120855551

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.

Editorial Reviews

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 --This text refers to an alternate Hardcover edition.

Book Description

New, Updated Edition Now Available! --This text refers to an alternate Hardcover edition.

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Product Details

• Hardcover: 277 pages
• Publisher: Academic Pr (September 1987)
• Language: English
• ISBN-10: 0120855550
• ISBN-13: 978-0120855551
• Product Dimensions: 9.2 x 5.6 x 1 inches
• Shipping Weight: 2.2 pounds
• Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #2,261,850 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

10 of 10 people found the following review helpful:

5.0 out of 5 stars more modeling concepts, September 17, 1999

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[e-mail] (Tooele, Ut.) - See all my reviews

This review is from: Mathematics for Dynamic Modeling, Second Edition (Hardcover)

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.