Dynamic Modeling

Computer models offer a means of interpreting and analyzing the dynamics of real-world systems ranging from population growth to ozone depletion and a new section on modeling in genetics. Dynamic Modeling introduces an approach to modeling that makes it a more practical, intuitive endeavor. The book...

Full description

Bibliographic Details
Main Authors: Hannon, Bruce, Ruth, Matthias (Author)
Format: eBook
Language:English
Published: New York, NY Springer New York 2001, 2001
Edition:2nd ed. 2001
Series:Modeling Dynamic Systems
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
LEADER 03900nmm a2200361 u 4500
001 EB000620932
003 EBX01000000000000000474014
005 00000000000000.0
007 cr|||||||||||||||||||||
008 140122 ||| eng
020 |a 9781461302117 
100 1 |a Hannon, Bruce 
245 0 0 |a Dynamic Modeling  |h Elektronische Ressource  |c by Bruce Hannon, Matthias Ruth 
250 |a 2nd ed. 2001 
260 |a New York, NY  |b Springer New York  |c 2001, 2001 
300 |a XVIII, 410 p  |b online resource 
505 0 |a 1 Introduction -- 1 Modeling Dynamic Systems -- 2 Some General Methods for Modeling -- 2 Four-Model Set -- 3 Gradual Development of a Dynamic Model -- 4 Two Independent Variables -- 5 Randomness -- 6 Positive and Negative Feedback -- 7 Derivatives and Lags -- 3 Chemistry Models -- 8 The Law of Mass Action -- 9 Chance-Cleland Model for Enzyme-Substrate Interaction -- 10 The Olsen Oscillator -- 4 Genetics Models -- 11 Mating of Alleles -- 12 Natural Selection and Mutation -- 13 Artificial Worms -- 5 Ecological Models -- 14 Robin Population -- 15 Two-Stage Insect Model -- 16 The Zebra Mussel -- 17 Single Cell Forest -- 18 Predator-Prey Models -- 19 Epidemic Modeling -- 20 Reestablishment of Wolves -- 21 Lyme Disease -- 22 Tragedy of the Commons -- 6 Economic Models -- 23 Introduction to Modeling Economic Processes -- 24 The Competitive Firm -- 25 The Monopolistic Firm -- 26 Competitive Equilibrium -- 27 Substitution -- 28 Time Value -- 29 Opportunity Cost -- 30 Optimal Tree Cutting -- 31 Fisheries Reserve Model -- 32 Dynamic Scarcity -- 33 Market Game -- 34 Pig Cycle -- 7 Engineering Models -- 35 The Assembly Line -- 36 Models of Gravity and Acceleration -- 37 Chaos -- 8 Conclusion -- 38 Beginning a Dialog -- Appendixes -- A1 System Requirements -- A1.1 Macintosh -- A1.2 Windows -- A2 Quick Help Guide -- A2.1 Overview of the STELLA(r) Operating Environment -- A2.2 Drawing an Inflow to a Stock -- A2.3 Drawing an Outflow from a Stock -- A2.4 Replacing a Cloud with a Stock -- A2.5 Bending Flow Pipes -- A2.6 Repositioning Flow Pipes -- A2.7 Reversing Direction of a Flow -- A2.8 Flow Define Dialog—Builtins -- A2.9 Moving Variable Names -- A2.10 Drawing Connectors -- A2.11 Defining Graphs and Tables -- A2.12 Dynamite Operations on Graphs and Tables -- References 
653 |a Health Informatics 
653 |a Bioinformatics 
653 |a Computational and Systems Biology 
653 |a Life sciences 
653 |a Medical informatics 
653 |a Computer simulation 
653 |a Computer Modelling 
653 |a Life Sciences 
700 1 |a Ruth, Matthias  |e [author] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b SBA  |a Springer Book Archives -2004 
490 0 |a Modeling Dynamic Systems 
028 5 0 |a 10.1007/978-1-4613-0211-7 
856 4 0 |u https://doi.org/10.1007/978-1-4613-0211-7?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 003.3 
520 |a Computer models offer a means of interpreting and analyzing the dynamics of real-world systems ranging from population growth to ozone depletion and a new section on modeling in genetics. Dynamic Modeling introduces an approach to modeling that makes it a more practical, intuitive endeavor. The book enables readers to convert their understanding of a phenomenon to a computer model, and then to run the model and let it yield the inevitable dynamic consequences built into the structure of the model. Dynamic Modeling uses STELLA software to develop simulation models. Part I provides an introduction to modeling dynamic systems. Part II offers general methods for modeling. Parts III through VIII apply these methods to model real-world phenomena from chemistry, genetics, ecology, economics, and engineering. Dynamic Modeling offers a clear, approachable introduction to the modeling process, and will be of interest in any field where real problems can be illuminated by computer simulation