The Nature of Mathematical Modeling

Gershenfeld, Neil:

ISBN 10: 0521570956 / ISBN 13: 9780521570954

Published by Cambridge University Press, 1999

About this Item

344 Seiten; 9780521570954.3 Gewicht in Gramm: 1.

Seller Inventory # 933282

Bibliographic Details

• Title: The Nature of Mathematical Modeling
• Publisher: Cambridge University Press
• Publication Date: 1999
• Language: English
• ISBN 10: 0521570956
• ISBN 13: 9780521570954
• Binding: hardcover
• Condition: Gut
• Weight: 1 gram
• Seller catalogs:
  • Varia

About this title

Synopsis

Major text/reference work on computer modeling for students and researchers in any quantitative or semi-quantitative discipline, first published in 1998.

Review

Review of the hardback: '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

Review of the hardback: '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

Review of the hardback: '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

Review of the hardback: '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

Review of the hardback: '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

Review of the hardback: '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

Review of the hardback: '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

Review of the hardback: '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