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Mathematical modelling : classroom notes in applied mathematics

Author: Murray S Klamkin; Society for Industrial and Applied Mathematics.
Publisher: Philadelphia : SIAM, 1987.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
Designed for classroom use, this book contains short, self-contained mathematical models of problems in the physical, mathematical, and biological sciences first published in the Classroom Notes section of the SIAM Review from 1975-1985. The problems provide an ideal way to make complex subject matter more accessible to the student through the use of concrete applications. Each section has extensive supplementary  Read more...
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Additional Physical Format: Online version:
Mathematical modelling.
Philadelphia : SIAM, 1987
(OCoLC)610204155
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Murray S Klamkin; Society for Industrial and Applied Mathematics.
ISBN: 0898712041 9780898712049
OCLC Number: 15556924
Notes: Reprint of articles originally published in SIAM review, 1975-1986.
Description: xiv, 338 pages : illustrations ; 26 cm
Contents: pt. I. Physical and mathematical sciences. 1. Mechanics --
2. Heat transfer and diffusion --
3. Traffic flow --
4. Electrical networks --
5. Communication and coding --
6. Graph theory and applications --
7. Applied geometry --
7.1. Catastrophe theory --
8. Numerical analysis --
Mathematical economics --
10. Optimization (Including linear, nonlinear, dynamic, and geometric programming, control theory, games and other miscellaneous topics) --
10.1. Music --
11. Stochastic models --
11.1. Sports --
12. Miscellaneous --
pt. II. Life sciences. 1. Population models --
2. Medical models --
Appendix: 1. An unsolved problem in the behavioral sciences --
2. General supplementary references in the behavioral sciences.
Other Titles: SIAM review.
Responsibility: edited by Murray S. Klamkin.
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Abstract:

Designed for classroom use, this book contains short, self contained mathematical models of problems in the physical, mathematical, and biological sciences. The problems provide an ideal way to make  Read more...

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'This collection provides a tremendous resource for undergraduate courses in mathematical modeling; it also demonstrates the importance of physics, geometry, and probability in the education of Read more...

 
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