Modeling Biological Systems : Principles and Applications


James W. Haefner
Bok Engelsk 2005 · Electronic books.
Annen tittel
Utgitt
New York : Springer , c2005
Omfang
1 online resource (487 p.)
Utgave
2nd ed.
Opplysninger
Description based upon print version of record.. - CONTENTS; I Principles; 1 Models of Systems; 1.1 Systems, Models, and Modeling; 1.2 Uses of Scientific Models; 1.3 Example: Island Biogeography; 1.4 Classifications of Models; 1.5 Constraints on Model Structure; 1.6 Some Terminology; 1.7 Misuses of Models: The Dark Side; 1.8 Exercises; 2 The Modeling Process; 2.1 Models are Problems; 2.2 Two Alternative Approaches; 2.3 An Example: Population Doubling Time; 2.4 Model Objectives; 2.5 Exercises; 3 Qualitative Model Formulation; 3.1 How to Eat an Elephant; 3.2 Forrester Diagrams; 3.3 Examples; 3.4 Errors in Forrester Diagrams. - 12 Hormonal Control in Mammals12.1 Hormonal Regulation; 12.2 Glucose and Insulin Regulation; 12.3 Glucose Model of Intermediate Complexity; 12.4 Summary; 12.5 Exercises; 13 Populations and Individuals; 13.1 Populations; 13.2 Interactions in Simple Communities; 13.3 Exercises; 14 Chemostats; 14.1 Chemostats and Simple Population Dynamics; 14.2 Competitors in Chemostats; 14.3 Predators in Chemostats; 14.4 Exercises; 15 Diseases; 15.1 Simple Models; 15.2 AIDS; 15.3 Simple IC Model (SIC); 15.4 Full IC Model; 15.5 AIDS Modeling Prognosis; 15.6 Exercises; 16 Spatial Patterns and Processes. - 16.1 Dynamics in Space: New Complications. - 3.5 Advantages and Disadvantages of Forrester Diagrams3.6 Principles of Qualitative Formulation; 3.7 Model Simplification; 3.8 Other Modeling Problems; 3.9 Exercises; 4 Quantitative Model Formulation: I; 4.1 From Qualitative to Quantitative; 4.2 Finite Difference Equations and Differential Equations; 4.3 Biological Feedback in Quantitative Models; 4.4 Example Model; 4.5 Exercises; 5 Quantitative Model Formulation: II; 5.1 Physical Processes; 5.2 Using the Toolbox of Biological Processes; 5.3 Useful Functions; 5.4 Examples; 5.5 Exercises; 6 Numerical Techniques; 6.1 Mistakes Computers Make. - 6.2 Numerical Integration6.3 Numerical Instability and Stiff Equations; 6.4 Integrating ODES with Variable Time Steps; 6.5 PDEs and the Method of Lines; 6.6 Exercises; 7 Parameter Estimation; 7.1 The Problem; 7.2 Simple Linear Regression; 7.3 Nonlinear Equations Linear in the Parameters; 7.4 Equations with Nonlinear Parameters; 7.5 Calibration to Dynamic Data; 7.6 Evolutionary Techniques; 7.7 Parameter Estimation Cautions; 7.8 Exercises; 8 Model Validation; 8.1 Insight and Illumination; 8.2 Validation: When Models Go Bad; 8.3 The Techniques of Validation; 8.4 Model Discrimination. - 8.5 Meta-Models8.6 Precis on Validation; 8.7 Exercises; 9 Model Analysis; 9.1 Analyzing Model Responses; 9.2 Uncertainty Analysis; 9.3 Analysis of Model Behavior; 9.4 Mathematical Details; 9.5 Exercises; 10 Stochastic Models; 10.1 There's Nothing Like a Random World; 10.2 Random Numbers; 10.3 Sampling Strategies; 10.4 Applications to Differential Equations; 10.5 Markov Processes; 10.6 Exercises; II Applications; 11 Photosynthesis and Plant Growth; 11.1 Introduction; 1.2 Cellular-Level Photosynthesis; 11.3 Leaf-Level Photosynthesis; 11.4 Plant Growth; 11.5 Summary; 11.6 Exercises. - 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.
Emner
Sjanger
Dewey
ISBN
0387250115. - 9780387250113

Andre utgaver/formater

Modeling biological systems : principles and applications
James W. Haefner

Bok · Engelsk · 1996

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