This extensively revised second edition describes the essentials of creating and analyzing mathematical and computer simulation models. It offers a comprehensive understanding of the underlying principle, as well as details and equations applicable to a wide variety of biological systems and disciplines. The new edition extensively updates many of these topics, and is more rigorous and mathematical than the competitive titles, which are intended for a less sophisticated reader.

More rigorous and mathematical than the competitive titles, which are intended for a less sophisticated reader In an active and growing area, and the fact that it is a single author text is also an advantage

Inhalt
Principles.- Models of Systems.- The Modeling Process.- Qualitative Model Formulation.- Quantitative Model Formulation: I.- Quantitative Model Formulation: II.- Numerical Techniques.- Parameter Estimation.- Model Validation.- Model Analysis: Uncertainty and Behavior.- Stochastic Models.- Applications.- Photosynthesis and Plant Growth.- Hormonal Control in Mammals.- Populations and Individuals.- Chemostats.- Diseases.- Spatial Patterns and Processes.- Scaling Models.- Chaos in Biology.- Cellular Automata and Recursive Growth.- Evolutionary Computation.