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- catalog abstract "Introduces senior undergraduates and graduate students to the art and craft of creating and analyzing computer simulation models of biological systems. The book assumes a minimum of mathematical sophistication, only some knowledge of single-variable regression and some basic calculus is required.".
- catalog contributor b9745141.
- catalog created "c1996.".
- catalog date "1996".
- catalog date "c1996.".
- catalog dateCopyrighted "c1996.".
- catalog description "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.".
- catalog description "Includes bibliographical references (p. [439]-462) and index.".
- catalog description "Introduces senior undergraduates and graduate students to the art and craft of creating and analyzing computer simulation models of biological systems. The book assumes a minimum of mathematical sophistication, only some knowledge of single-variable regression and some basic calculus is required.".
- catalog extent "xvii, 473 p. :".
- catalog identifier "0412042010".
- catalog issued "1996".
- catalog issued "c1996.".
- catalog language "eng".
- catalog publisher "New York : Chapman & Hall,".
- catalog subject "574/.01/13 20".
- catalog subject "Biological systems Computer simulation.".
- catalog subject "Biological systems Mathematical models.".
- catalog subject "QH308.2 .H325 1996".
- catalog tableOfContents "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.".
- catalog title "Modeling biological systems : principles and applications / James W. Haefner.".
- catalog type "text".