Calculus for the Life Sciences II by Cornette & Ackerman
Calculus for the Life Sciences 2 - Table of Contents
- 13. Partial Derivatives
- 14. Difference Equation Models of Populations
- 15. Discrete Dynamical Systems
- 16. Nonlinear Dynamical Systems; Equilibria
- 17. Differential Equations
- 18. Second order, systems of two first order ODEs
What You Will Learn in Calculus for the Life Sciences 2
Calculus for the Life Sciences II by James L. Cornette and Ralph A. Ackerman expands upon fundamental single-variable analysis to explore advanced quantitative frameworks tailored for modern biology and medicine. Designed for upper-level university life science programs, this text acts as an essential manual for calculus life sciences differential equations practice.
The monograph delves into multivariable calculus, systems of ordinary differential equations, matrix algebra, and stochastic processes. By directly mapping rigorous mathematical formulas onto complex biological dynamics like epidemic spread and enzyme kinetics, the authors empower readers to complete essential biological calculus mathematical model derivations with absolute logical precision.
Celebrated across academic institutions for its pedagogical clarity and authentic scientific examples, this comprehensive work remains an indispensable companion for self-guided instruction. Cornette and Ackerman’s structured approach equips researchers with core analytical methods necessary for mastering modern calculus life sciences modeling principles across interdisciplinary fields.
Book Details & Specifications
Title:
Calculus for the Life Sciences II by Cornette & Ackerman
Publisher:
A.T. Still University
Year:
2013
Pages:
477
Type:
PDF
Language:
English
ISBN-10 #:
1470025884
ISBN-13 #:
978-1470025885
License:
CC BY-NC-ND 4.0
Amazon:
Amazon
About the Author: James L. Cornette
The author James L. Cornette
(Emeritus Professor of Mathematics) and Ralph A. Ackerman (Professor of Ecology, Evolution, and Organismal Biology) combined their expertise at Iowa State University to pioneer interdisciplinary biomathematical education.
In Volume II, the author duo leverages decades of experimental research and classroom instruction to present advanced quantitative methods. Their unique cross-disciplinary perspective provides students with essential tools for applied life science mathematical modeling research.
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