Modeling Biological Systems: Principles and Applications - Rilegato

 
9780412042010: Modeling Biological Systems: Principles and Applications

Sinossi

Designed for advanced undergraduate and graduate students, this textbook describes the essentials on how to create and analyze mathematical and computer simulation models. It offers a comprehensive understanding of the underlying principles as well as details and equations applicable to a wide variety of biological systems and disciplines. The text contains two major sections, principles and applications. The first section discusses the principles of biological systems with a thorough description of the modeling activities of formulation, implementation, validation, and analysis. The section of the text, covering applications, takes a closer look at the fundamental equations and problems from various biological disciplines, such as biochemistry, plant and animal physiology, and ecology.

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Recensione

Throughout the book, the author aims to teach the concepts of mathematical modelling by example, allowing a full understanding of how and why mathematics is so important in biology. This is a superb introduction and complements the more technical literature... - The Biologist;
Covers a broad area with wit and enthusiasm, tempered with an appropriate degree of caution...a valuable introduction...a balanced selection of references makes this a handy source text for those seeking to learn more. - Journal of Animal Ecology;
The book will be useful for those readers who want to get a survey of the use of various types of models in biology. - Eur. Jnl. of Entomology, 1997;
This is an excellent book for the student who wants a mathematical model but does not know how to construct one - Journal of Experimental Marine Biology and Ecology.

Contenuti

Preface. Part One: Principles: Models of systems; The modeling process; Qualitative model formulation; Quantitative model formulation; Simulation Paradigms; Numerical techniques; Parameter estimation; Model validation; Model analysis; Stochastic models; Part Two: Applications: Photsynthesis and plant growth; Hormonal control in mammals; Populations and individuals; Chemostats; Spatial patterns and processes; Scaling models; Chaos in biology; Cellular automata and growth; Evolutionary computation; Complex adaptive systems; References; Index

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