Mathematical Modeling for the Life Sciences / Universitext (PDF)
Provides a wide range of mathematical models currently used in the life sciences
Each model is thoroughly explained and illustrated by example
Includes three appendices to allow for independent reading
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Provides a wide range of mathematical models currently used in the life sciences
Each model is thoroughly explained and illustrated by example
Includes three appendices to allow for independent reading
- Autor: Jacques Istas
- 2005, 2005, 168 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 354027877X
- ISBN-13: 9783540278771
- Erscheinungsdatum: 04.10.2005
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 2.18 MB
- Ohne Kopierschutz
- Vorlesefunktion
From the reviews:
"Proposing a wide range of mathematical models that are currently used in life sciences may be regarded as a challenge, and that is precisely the challenge that this book takes up. … Each mathematical model is explained and illustrated individually with an appropriate biological example." (T. Postelnicu, Zentralblatt MATH, Vol. 1081, 2006)
"This book is a well-rounded volume which covers a wide range of basic mathematical models in life sciences, making it quite a suitable choice as a textbook for a first course in mathematical modeling with life sciences emphasis in mind. … The book is well written and organized. The balance between mathematical rigor and biological interest has been struck successfully, although this is not an easy task." (Yongwimon Lenbury, Mathematical Reviews, Issue 2006 e)
"This is one of several biological mysteries explored in Mathematical Modeling for the Life Sciences. … The author does a good job in balancing mathematical rigor and biological interest. … This is a book best suited to advanced undergraduates or beginning graduate students. … This would be a good choice for the main text or for supplemental reading in a course on mathematical applications to biology … ." (William J. Satzer, MathDL, September, 2005)
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