Modeling Biological Systems: Principles and Applications

Author:   James W. Haefner
Publisher:   Chapman and Hall
Edition:   Softcover reprint of the original 1st ed. 1996
ISBN:  

9780412042010


Pages:   473
Publication Date:   31 July 1996
Format:   Hardback
Availability:   In Print   Availability explained
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Modeling Biological Systems: Principles and Applications


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Overview

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.

Full Product Details

Author:   James W. Haefner
Publisher:   Chapman and Hall
Imprint:   Chapman and Hall
Edition:   Softcover reprint of the original 1st ed. 1996
Dimensions:   Width: 15.50cm , Height: 2.60cm , Length: 23.50cm
Weight:   1.920kg
ISBN:  

9780412042010


ISBN 10:   0412042010
Pages:   473
Publication Date:   31 July 1996
Audience:   College/higher education ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

I Principles.- 1 Models of Systems.- 2 The Modeling Process.- 3 Qualitative Model Formulation.- 4 Quantitative Model Formulation.- 5 Simulation Paradigms.- 6 Numerical Techniques.- 7 Parameter Estimation.- 8 Model Validation.- 9 Model Analysis.- 10 Stochastic Models.- II Applications.- 11 Photosynthesis and Plant Growth.- 12 Hormonal Control in Mammals.- 13 Populations and Individuals.- 14 Chemostats.- 15 Spatial Patterns and Processes.- 16 Scaling Models.- 17 Chaos in Biology.- 18 Cellular Automata and Recursive Growth.- 19 Evolutionary Computation.- 20 Complex Adaptive Systems.- References.

Reviews

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.


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.


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