Modeling Life
Tackles highly relevant material across the life sciences, using tools best-suited to the field Driven by real-world examples drawn from biology, ecology, medicine, and beyond Builds effective mathematical modeling skills from beginning to end Illustrates every step with engaging, informative graphics in full color
| Autor: | Garfinkel, Alan Guo, Yina Shevtsov, Jane |
|---|---|
| ISBN: | 9783319866895 |
| Sprache: | Englisch |
| Seitenzahl: | 445 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 14.08.2018 |
| Untertitel: | The Mathematics of Biological Systems |
| Schlagworte: | Applications to biosciences Calculus for life sciences Differential equations for biology Dynamical systems in biology Dynamical systems in life sciences Dynamical systems in medicine Euler's method Feedback systems Mathematical modeling for biology ordinary differential equations |
Alan Garfinkel received his undergraduate degree from Cornell in Mathematics and Philosophy,and a PhD from Harvard in Philosophy and Mathematics. After some years of practicing philosophy of science, Garfinkel transitioned to medical research, applying qualitative dynamics to phenomena in medicine and physiology. Along with James Weiss and Zhilin Qu, he studies cardiac arrhythmias from the point of view of nonlinear dynamics. Jane Shevtsov earned her BS in Ecology, Behavior and Evolution from UCLA, and her PhD in Ecology from the University of Georgia. Her main research interests lie in mathematical models of food webs and ecosystems. Yina Guo received her PhD from Nankai University in Control Engineering. Her PhD thesis used partial differential equations to explain the branching structure of the lung. Her computer simulations of branching processes were featured on the cover of the Journal of Physiology. She is particularly interested in the use of graphics and visualization techniques in both research and teaching.