Overview
- Very practical and straightforward in its presentation Combination of Modelling, Mathematics and Numerics useful for researchers
- Wide variety of biological examples
- Includes simulations by MATLAB that will enable students to work out new hypotheses
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes on Mathematical Modelling in the Life Sciences (LMML)
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Table of contents (13 chapters)
Keywords
About this book
Reviews
“This is a course book on several topics from mathematical biology. … The book provides a short introduction to ordinary differential equations, partial differential equations, bifurcation theory and numerical methods for dynamical systems. … The book is a valuable support for teaching mathematical modeling in life sciences to students with basic knowledge of ordinary differential equations and partial differential equations.” (Maria Vittoria Barbarossa, Acta Scientiarum Mathematicarum, Vol. 81 (3-4), 2015)
“Each section begins with a biological background and ends by a numerical implement of an according mathematical model. The student can freely use these tools for simulations. With this book, the student also will learn the basics of mathematical modeling with Matlab. The book can be used either for a semester course or as a basis for a one-year course.” (Fatima T. Adylova, zbMATH, Vol. 1302, 2015)Authors and Affiliations
About the authors
Anver Friedman is a Distinguished University Professor. He received his PH.D. degree in 1956 from the Hebrew University. His research interests include partial differential equations, both general mathematical theory as well as applications to models that arise in the physical and life sciences, in engineering, and in industry.
Chiu-Yen Kao is an Associate Professor at Claremont McKenna College. Her area of expertise is in applied mathematics.
Bibliographic Information
Book Title: Mathematical Modeling of Biological Processes
Authors: Avner Friedman, Chiu-Yen Kao
Series Title: Lecture Notes on Mathematical Modelling in the Life Sciences
DOI: https://doi.org/10.1007/978-3-319-08314-8
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Softcover ISBN: 978-3-319-08313-1Published: 08 October 2014
eBook ISBN: 978-3-319-08314-8Published: 19 September 2014
Series ISSN: 2193-4789
Series E-ISSN: 2193-4797
Edition Number: 1
Number of Pages: VI, 154
Number of Illustrations: 15 b/w illustrations, 17 illustrations in colour
Topics: Mathematical and Computational Biology, Biological and Medical Physics, Biophysics