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Modeling Biological Systems: Principles And Applications

By: Material type: TextTextPublication details: Springer ( India ) Private Limited 2006Edition: 2nd edDescription: xvi, 475 p. : illISBN:
  • 8181284712
Subject(s): DDC classification:
  • 570.11 HAE-M
Contents:
1. Models of systems -- 2. The modeling process -- 3. Qualitative model formulation -- 4. Quantitative model formulation : I -- 5. Quantitative model formulation : II -- 6. Numerical techniques -- 7. Parameter estimation -- 8. Model validation -- 9. Model analysis -- 10. Stochastic models -- 11. Photosynthesis and plant growth -- 12. Hormonal control in mammals -- 13. Populations and individuals -- 14. Chemostats -- 15. Diseases -- 16. Spatial patterns and processes -- 17. Scaling models -- 18. Chaos in biology -- 19. Cellular automata and recursive growth -- 20. Evolutionary computation.
Summary: This is the second edition of a textbook currently published by Springer for a course in mathematical modeling and computer simulation for biologists at the advanced undergraduate and introductory graduate level. The audience for this edition is similar to that of the previous one: advanced level courses in computational biology, as well as researchers retooling themselves. This new edition includes a CD-ROM with real examples of models as teaching tools.
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Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 570.11 HAE-M (Browse shelf(Opens below)) Available DCB406

1. Models of systems -- 2. The modeling process -- 3. Qualitative model formulation -- 4. Quantitative model formulation : I -- 5. Quantitative model formulation : II -- 6. Numerical techniques -- 7. Parameter estimation -- 8. Model validation -- 9. Model analysis -- 10. Stochastic models -- 11. Photosynthesis and plant growth -- 12. Hormonal control in mammals -- 13. Populations and individuals -- 14. Chemostats -- 15. Diseases -- 16. Spatial patterns and processes -- 17. Scaling models -- 18. Chaos in biology -- 19. Cellular automata and recursive growth -- 20. Evolutionary computation.

This is the second edition of a textbook currently published by Springer for a course in mathematical modeling and computer simulation for biologists at the advanced undergraduate and introductory graduate level. The audience for this edition is similar to that of the previous one: advanced level courses in computational biology, as well as researchers retooling themselves. This new edition includes a CD-ROM with real examples of models as teaching tools.

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