Modeling Differential Equations in Biology

Author:   Clifford Henry Taubes (Harvard University, Massachusetts)
Publisher:   Cambridge University Press
Edition:   2nd Revised edition
ISBN:  

9780511811364


Publication Date:   05 June 2012
Format:   Undefined
Availability:   Available To Order   Availability explained
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Modeling Differential Equations in Biology


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Author:   Clifford Henry Taubes (Harvard University, Massachusetts)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press (Virtual Publishing)
Edition:   2nd Revised edition
ISBN:  

9780511811364


ISBN 10:   0511811365
Publication Date:   05 June 2012
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Undefined
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Reviews

'Graduates of this course will be prepared to discuss the setup and structure of the underlying model, and to engage with the type of predictions that it can make. That's an admirable accomplishment for a book at this level! Moreover, equipping undergraduates with such a toolkit can open truly exciting doors for thinking about biology, a theme that runs throughout this text.' SIAM Review The authors treatment of the mathematics itself shows a first-rate mathematician's taste and judgment combined with a genuine sympathy for the presumed capabilities and real needs of his target audience. ...Recommended. Choice This book, well described by its title, stands out among the many similar books on the same subject matter by the inclusion, at the end of chapters, of quite a number of brief journal articles from the research literature which support and amplify the topics under discussion. Overall, I think the exposition is excellent; a student can learn a great deal from this book. Hal Leslie Smith, Mathematical Reviews


'Graduates of this course will be prepared to discuss the setup and structure of the underlying model, and to engage with the type of predictions that it can make. That's an admirable accomplishment for a book at this level! Moreover, equipping undergraduates with such a toolkit can open truly exciting doors for thinking about biology, a theme that runs throughout this text.' SIAM Review


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