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The Nature of Mathematical Modeling [Englisch] [Gebundene Ausgabe]

Neil Gershenfeld
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Produktinformation

  • Gebundene Ausgabe: 356 Seiten
  • Verlag: Cambridge University Press (28. November 1998)
  • Sprache: Englisch
  • ISBN-10: 0521570956
  • ISBN-13: 978-0521570954
  • Größe und/oder Gewicht: 24,8 x 18,2 x 2,6 cm
  • Durchschnittliche Kundenbewertung: 4.8 von 5 Sternen  Alle Rezensionen anzeigen (5 Kundenrezensionen)
  • Amazon Bestseller-Rang: Nr. 353.392 in Englische Bücher (Siehe Top 100 in Englische Bücher)
  • Komplettes Inhaltsverzeichnis ansehen

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Neil A. Gershenfeld
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Produktbeschreibungen

Pressestimmen

'Simulation and mathematical modelling will power the 21st century the way steam powered the 19th. Gershenfeld masterfully compresses two armloads of dense textbooks into a single clear volume, including both classic and avant garde methods, and with well-selected references for further study. Every student of computing needs this book as the entry ticket into a vital and rapidly-changing field.' William H. Press, Harvard University, author of Numerical Recipes

'Reducing whole disciplines to 10 pages or so of essential ideas makes for a remarkable guidebook. Virtually every present-day technique for modeling systems is displayed, like so many tools hung on a pegboard … anyone who wants a sense of how the language of mathematics has changed in the last 50 years will marvel at Gershenfeld's concise map.' The Boston Globe

'In a compact but accessible manner, Gershenfeld offers a wide-ranging overview of mathematical ideas and techniques that provide a number of effective approaches to problem solving ... The Nature of Mathematical Modeling is a great compendium of techniques. It should be kept within easy reach of anyone who wants to build computer models to help understand the world around us.' Science

'Each topic described deserves a book in its own right, however, the author has skillfully pulled together a concise summary of each introducing basic results and building on them … Each time I thumbed through the text I found something of interest which was well written and frequently presented a new perspective on a known subject … I found this book a pleasure to read … and recommend it as good background reading material on the broad subject of mathematical modeling. This not only includes students but also possibly for managerial purposes where a deep knowledge of a subject may not be required but an overview with the basic principles explained.' Christopher Dean, Mathematics Today

'Professor Gershenfeld's book is praiseworthy for being a concise account of a wide range of subjects and methods dealing with mathematical modelling as well as numerical treatment of models and governing equations with the aid of computers … This is a remarkable achievement, taking into account the wealth of subjects that Gershenfeld has succeeded in considering in this space … To conclude, I wholeheartedly recommend this book to both students and professional scientists … I have read the entire book with utmost pleasure and satisfaction.' Contemporary Physics

'This is a well-written and interesting book. It would make an excellent text for a final-year undergraduate course in modeling and a good reference for research students in any situation where data are to be examined.' A. D. Booth, Simulation and Modeling

'The book contains a wealth of basic ideas and methods of the fantastic world of mathematical modeling … presented in a compact and self-contained way … a good introduction to the subject …'. N. D. C. Veraverbeke, ISI Short Book Reviews

'The book offers a useful; insight into modelling with mathematical modelling and computer implematation its main concern. The author achieves his aim; of producing a well-written account of the simple and efficient ways in which such models can be implemented.' Kybernetes

Über das Produkt

This is a book about the nature of mathematical modeling, and about the kinds of techniques that are useful for modeling. This essential text will be of great value to anyone working in any quantitative or semi-quantitative discipline, including computer science, physics, applied mathematics, engineering, biology, economics and the social sciences, from undergraduates to leading researchers.

In diesem Buch (Mehr dazu)
Einleitungssatz
The first part of the book looks at analytical models. Lesen Sie die erste Seite
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Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis | Rückseite
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Von Ein Kunde
Format:Gebundene Ausgabe
Basically, this is a great book. I couldn't put down, really. It's sort of a 'everything you always wanted to know about modeling' book, and the author went to great lenghts to compress a huge amount of material in one handsome, managable volume without becoming superficial or less rigorous.

The only thing I'm not happy with is the author's own description of prerequisites: he claims the book is self-contained, and only requires "some calculus and linear algebra". In reality, readers had better be comfortable with complex numbers, operators, coordinate systems, probability theory and various other topics of mathematical physics. And instead of "some" calculus, there is serious calculus involved here. Laplace transforms, the 'del' operator and various other more-or-less advanced topics are presented in the first chapter in a way that suggests the reader's familiarity with them. To those of us that are familiar with these concepts, the book is a delight. To those of us that are not, the book is likely to be too fast-paced and advanced.

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1 von 1 Kunden fanden die folgende Rezension hilfreich
Format:Gebundene Ausgabe
Very readable and enjoyable book if you like Applied Mathematics. In addition to very broad but not shallow coverage of the various techniques used to model physical phenomena, the author provides *excellent* references for those who want to dig further. The Matlab code and computer techniques are an excellent addition.

I agree with the previous reviewer, the book will become a classic.

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Destined to be a classic 22. Dezember 1998
Format:Gebundene Ausgabe
This is the book that I always wanted to read on mathematical modeling. I only wish he had written it earlier.
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