Topics in Mathematical Modeling
Tung, K. K.
Verkauft von Anybook.com, Lincoln, Vereinigtes Königreich
AbeBooks-Verkäufer seit 22. Dezember 1999
Gebraucht - Hardcover
Zustand: Good
Anzahl: 1 verfügbar
In den Warenkorb legenVerkauft von Anybook.com, Lincoln, Vereinigtes Königreich
AbeBooks-Verkäufer seit 22. Dezember 1999
Zustand: Good
Anzahl: 1 verfügbar
In den Warenkorb legenThis is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:9780691116426.
Bestandsnummer des Verkäufers 9744588
Topics in Mathematical Modeling is an introductory textbook on mathematical modeling. The book teaches how simple mathematics can help formulate and solve real problems of current research interest in a wide range of fields, including biology, ecology, computer science, geophysics, engineering, and the social sciences. Yet the prerequisites are minimal: calculus and elementary differential equations. Among the many topics addressed are HIV; plant phyllotaxis; global warming; the World Wide Web; plant and animal vascular networks; social networks; chaos and fractals; marriage and divorce; and El Niño. Traditional modeling topics such as predator-prey interaction, harvesting, and wars of attrition are also included. Most chapters begin with the history of a problem, follow with a demonstration of how it can be modeled using various mathematical tools, and close with a discussion of its remaining unsolved aspects.
Designed for a one-semester course, the book progresses from problems that can be solved with relatively simple mathematics to ones that require more sophisticated methods. The math techniques are taught as needed to solve the problem being addressed, and each chapter is designed to be largely independent to give teachers flexibility.
The book, which can be used as an overview and introduction to applied mathematics, is particularly suitable for sophomore, junior, and senior students in math, science, and engineering.
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