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Modeling biological systems : principles and applications / by James W. Haefner.

By: Material type: TextTextPublisher: New Delhi ; Springer, 2006Edition: Second editionDescription: xvi, 475 pages : illustrations ; 25 cm + 1 CD-ROMContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0387250115
  • 8181284712
Subject(s): DDC classification:
  • 570.11 23 H.J.M.
Online resources:
Contents:
Preface.- 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.- 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.- Bibliography.- Index.
Summary: 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.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books Media and mass communication Library J1 570.11 H.J.M. Available E0000119
CD / DVD with book CD / DVD with book Media and mass communication Library 570.11 H.J.M. Available
Total holds: 0

Includes bibliographical references and index.

Preface.- 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.- 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.- Bibliography.- Index.

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.

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