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Mathematics Applied to Deterministic Problems in the Natural Sciences (Classics in Applied Mathematics)
 
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Mathematics Applied to Deterministic Problems in the Natural Sciences (Classics in Applied Mathematics) [Paperback]

C. C. Lin (Author), L. A. Segel (Author)
4.8 out of 5 stars  See all reviews (4 customer reviews)


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Book Description

0898712297 978-0898712292 December 1, 1988
Addresses the construction, analysis, and intepretation of mathematical models that shed light on significant problems in the physical sciences. The authors' case studies approach leads to excitement in teaching realistic problems. The exercises reinforce, test and extend the reader's understanding. This reprint volume may be used as an upper level undergraduate or graduate textbook as well as a reference for researchers working on fluid mechanics, elasticity, perturbation methods, dimensional analysis, numerical analysis, continuum mechanics and differential equations.


Editorial Reviews

Review

‘The words 'applied mathematics' decorate the covers of many books these days, but precious little of the practice of applied mathematics seeps through into the pages bound between those covers. Of the select few that do indeed introduce the reader to applied mathematics, this book may well be the best. I know of none better.’ Paul Davis, American Mathematical Monthly

Book Description

This book addresses the construction, analysis, and intepretation of mathematical models that shed light on significant problems in the physical sciences, with exercises that reinforce, test and extend the reader's understanding. It may be used as an upper level undergraduate or graduate textbook as well as a reference for researchers.

Product Details

  • Paperback: 631 pages
  • Publisher: SIAM: Society for Industrial and Applied Mathematics (December 1, 1988)
  • Language: English
  • ISBN-10: 0898712297
  • ISBN-13: 978-0898712292
  • Product Dimensions: 8.7 x 6 x 1.4 inches
  • Shipping Weight: 1.9 pounds
  • Average Customer Review: 4.8 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #1,138,768 in Books (See Top 100 in Books)

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Customer Reviews

4 Reviews
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Average Customer Review
4.8 out of 5 stars (4 customer reviews)
 
 
 
 
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14 of 15 people found the following review helpful:
5.0 out of 5 stars a superb treatment of graduate-level applied mathematics, May 21, 1999
By A Customer
This review is from: Mathematics Applied to Deterministic Problems in the Natural Sciences (Classics in Applied Mathematics) (Paperback)
This is surely one of the best if not the best applied mathematics text on topics related to continuum mechanics. The chapters on approximation and scale and dimensional analysis are clear, concise and very well motivated from a physical standpoint. The text emphasizes that physical insight and approximation go hand in hand toward the goal of understanding.

It would be very useful to have an occasional digression onto numerical methods, but as it stands the text is a classic. I hope it never goes out of print!

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1 of 1 people found the following review helpful:
4.0 out of 5 stars Classic, August 12, 2008
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This review is from: Mathematics Applied to Deterministic Problems in the Natural Sciences (Classics in Applied Mathematics) (Paperback)
Another classic of the genre. Lin and Segel are demigods of the math textbook world. If you want to know what hard math is useful for in the REAL WORLD: this is the book. Beware: this is not for the layperson.
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5.0 out of 5 stars Rich and comprehensive textbook on classical applied mathematics, July 17, 2010
This review is from: Mathematics Applied to Deterministic Problems in the Natural Sciences (Classics in Applied Mathematics) (Paperback)
This is an extremely rich book explaining the details of several classic methods of applied mathematics, particularly differential equations and perturbation methods. The chapter on dimensional analysis, scaling and simplification is, in my opinion, the clearest and most lucid exposition anyone can read on these subjects. Wonderful book that is also a (mathematical) pleasure to read.
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