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Textbook
Modeling Biological Systems:
Principles and Applications
* Textbook
* © 2005
* Latest edition
Overview
Authors:
+ [12]James W. Haefner ^[13]0
1. James W. Haefner
1. Utah State University
[14]View author publications
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* More rigorous and mathematical than the competitive titles, which are
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* 123 [17]Citations
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Table of contents (20 chapters)
1.
Front Matter
Pages i-xvi
[26]Download chapter PDF
2.
Principles
1.
[27]Models of Systems
Pages 3-16
2.
[28]The Modeling Process
Pages 17-31
3.
[29]Qualitative Model Formulation
Pages 32-57
4.
[30]Quantitative Model Formulation: I
Pages 58-80
5.
[31]Quantitative Model Formulation: II
Pages 81-106
6.
[32]Numerical Techniques
Pages 107-122
7.
[33]Parameter Estimation
Pages 123-143
8.
[34]Model Validation
Pages 144-177
9.
[35]Model Analysis: Uncertainty and Behavior
Pages 178-214
10.
[36]Stochastic Models
Pages 215-234
3.
Applications
1.
[37]Photosynthesis and Plant Growth
Pages 237-259
2.
[38]Hormonal Control in Mammals
Pages 260-271
3.
[39]Populations and Individuals
Pages 272-294
4.
[40]Chemostats
Pages 295-306
5.
[41]Diseases
Pages 307-323
6.
[42]Spatial Patterns and Processes
Pages 324-341
7.
[43]Scaling Models
Pages 342-355
8.
[44]Chaos in Biology
Pages 356-389
9.
[45]Cellular Automata and Recursive Growth
Pages 390-414
* [46]1
* [47]2
* Next page
[48]Back to top
Keywords
* [49]behavior
* [50]biological
* [51]biology
* [52]computational biology
* [53]evolution
* [54]mammals
* [55]plant
* [56]plant growth
* [57]population
About this book
I Principles 1 1 Models of Systems 3 1. 1 Systems. Models. and Modeling . . . . .
. . . . . . . . . . . . . . . 3 1. 2 Uses of Scientific Models . . . . . . . . .
. . . . . . . . . . . . . . . 4 1. 3 Example: Island Biogeography . . . . . . . .
. . . . . . . . . . . . . 6 1. 4 Classifications of Models . . . . . . . . . . .
. . . . . . . . . . . . . 10 1. 5 Constraints on Model Structure . . . . . . . .
. . . . . . . . . . . . . 12 1. 6 Some Terminology . . . . . . . . . . . . . . .
. . . . . . . . . . . . 12 1. 7 Misuses of Models: The Dark Side . . . . . . . .
. . . . . . . . . . . 13 1. 8 Exercises . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . 15 2 The Modeling Process 17 2. 1 Models Are Problems . . .
. . . . . . . . . . . . . . . . . . . . . . . 17 2. 2 Two Alternative Approaches
. . . . . . . . . . . . . . . . . . . . . . 18 2. 3 An Example: Population
Doubling Time . . . . . . . . . . . . . . . . 24 2. 4 Model Objectives . . . . .
. . . . . . . . . . . . . . . . . . . . . . . 28 2. 5 Exercises . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . 30 3 Qualitative Model Formulation
32 3. 1 How to Eat an Elephant . . . . . . . . . . . . . . . . . . . . . . . . .
32 3. 2 Forrester Diagrams . . . . . . . . . . . . . . . . . . . . . . . . . . .
33 3. 3 Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
36 3. 4 Errors in Forrester Diagrams . . . . . . . . . . . . . . . . . . . . . .
44 3. 5 Advantages and Disadvantages of Forrester Diagrams . . . . . . . . . 44
3. 6 Principles of Qualitative Formulation . . . . . . . . . . . . . . . . . . 45
3. 7 Model Simplification . . . . . . . . . . . . . . . . . . . . . . . . . . 47
3. 8 Other Modeling Problems . . . . . . . . . . . . . . . . . . . . . . . . 49
viii Contents . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3. 9
Exercises 53 4 Quantitative Model Formulation: I 4. 1 From Qualitative to
Quantitative . . . . . . . . . . . . . . . . . Finite Difference Equations and
Differential Equations 4. 2 . . . . . . . . . . . . . . . . 4. 3 Biological
Feedback in Quantitative Models . . . . . . . . . . . . . . . . . . . . . . . . .
. 4. 4 Example Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.
5 Exercises 5 Quantitative Model Formulation: I1 81 . . . . . . . . . . . . . . .
. . . . . . . . . . . . 5. 1 Physical Processes 81 . . . . . . . . . . . . . . .
5. 2 Using the Toolbox of Biological Processes 89 . . . . . . . . . . . . . . . .
. . . . . . . . . . . . 5. 3 Useful Functions 96 . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . 5. 4 Examples 102 . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . 5. 5 Exercises 104 6 Numerical Techniques 107 . .
. . . . . . . . . . . . . . . . . . . . . 6. 1 Mistakes Computers Make 107 . . .
. . . . . . . . . . . . . . . . . . . . . . . 6. 2 Numerical Integration 110 . .
. . . . . . . . . . . . . . 6. 3 Numerical Instability and Stiff Equations 115 .
. . . . . . . . . . . . .
Authors and Affiliations
* Utah State University
James W. Haefner
Bibliographic Information
* Book Title: Modeling Biological Systems:
* Book Subtitle: Principles and Applications
* Authors: James W. Haefner
* DOI: https://doi.org/10.1007/b106568
* Publisher: Springer New York, NY
* eBook Packages: [58]Biomedical and Life Sciences, [59]Biomedical and Life
Sciences (R0)
* Copyright Information: Springer-Verlag US 2005
* Hardcover ISBN: 978-0-387-25011-3Published: 06 May 2005
* Softcover ISBN: 978-1-4614-9808-7Published: 04 December 2014
* eBook ISBN: 978-0-387-25012-0Published: 05 December 2005
* Edition Number: 2
* Number of Pages: XI, 475
* Additional Information: Originally published by Chapman and Hall, 1996
* Topics: [60]Life Sciences, general, [61]Bioinformatics, [62]Computer Appl. in
Life Sciences, [63]Ecology, [64]Zoology
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