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140122 ||| eng |
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|a 9781461206514
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| 100 |
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|a Hannon, Bruce
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| 245 |
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|a Modeling Dynamic Biological Systems
|h Elektronische Ressource
|c by Bruce Hannon, Matthias Ruth
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| 250 |
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|a 1st ed. 1997
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| 260 |
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|a New York, NY
|b Springer New York
|c 1997, 1997
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| 300 |
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|a XVI, 402 p
|b online resource
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| 505 |
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|a 28 Biosynchronicity -- 6 Multiple Population Models -- 29 Wildebeest Model -- 30 Nicholson-Bailey Host-Parasitoid Model -- 31 Diseased and Healthy Immigrating Insects -- 32 Two-Species Colonization Model -- 33 Herbivore-Algae Predator-Prey Model -- 34 The Grass Carp -- 35 Recruitment and Trophic Dynamics of Gizzard Shad -- 36 Modeling Spatial Dynamics of Predator-Prey Interactions in a Changing Environment -- 7 Catastrophe and Self-Organization -- 37 Catastrophe -- 38 Spruce Budworm Dynamics -- 39 Sandpile -- 40 Earthquake -- 41 Game of Life -- 42 Daisyworld -- 8 Conclusion -- 43 Building a Modeling Community -- A1 Installation Instructions for Macintosh Version -- A2 Installation Instructions for Windows Version -- A3 Quick Help Guide -- A3.1 Overview of STELLA Operating Environment -- A3.2 Drawing an Inflow to a Stock -- A3.3 Drawing an Outflow from a Stock -- A3.4 Replacing a Cloud with a Stock -- A3.5 Bending Flow Pipes -- A3.6 Repositioning Flow Pipes --
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|a A3.7 Reversing Direction of a Flow -- A3.8 Flow Define Dialog—Builtins -- A3.9 Moving Variable Names -- A3.10 Drawing Connectors -- A3.11 Defining Graphs and Tables -- A3-12 Dynamite Operations on Graphs and Tables -- MADONNA Quick Start -- B1 Installation of MADONNA -- B2 Example: Harmonic Oscillator -- B2.1 Writing the Model Equations -- B2.2 Compiling the Model -- B2.3 Running the Model -- B2.4 The Graph Window -- B2.5 Multiple Runs -- References
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|a 1 Introduction -- 1 Modeling Dynamic Biological Systems -- 2 Exploring Dynamic Biological Systems -- 3 Risky Population -- 4 Steady State, Oscillation, and Chaos in Population Dynamics -- 5 Spatial Dynamics -- 2 Physical and Biochemical Models -- 6 Law of Mass Action -- 7 Catalyzed Product -- 8 Two-Stage Nutrient Uptake Model -- 9 Iodine Compartment Model -- 10 The Brusselator -- 11 Fitzhugh-Nagumo Neuron Model -- 12 Solar Radiation to Nonobstructed Inclined Surfaces -- 3 Genetics Models -- 13 Mating and Mutation of Alleles -- 14 Natural Selection, Mutation, and Fitness -- 4 Models of Organisms -- 15 Odor-Sensing Model -- 16 Stochastic Resonance -- 17 Heartbeat Model -- 18 Bat Thermoregulation -- 19 The Optimum Plant -- 20 Infectious Diseases -- 5 Single Population Models -- 21 Adaptive Population Control -- 22 Roan Herds -- 23 Population Dynamics of Voles -- 24 Lemming Model -- 25 Multistage Insect Models -- 26 Two Age-Class Parasite Model -- 27 Monkey Travels --
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| 653 |
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|a Population Economics
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| 653 |
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|a Models of Computation
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| 653 |
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|a Computer science
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| 653 |
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|a Mathematical and Computational Biology
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| 653 |
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|a Biomathematics
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| 653 |
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|a Biochemistry
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| 653 |
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|a Ecology
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| 653 |
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|a Population / Economic aspects
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| 653 |
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|a Ecology
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| 700 |
1 |
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|a Ruth, Matthias
|e [author]
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b SBA
|a Springer Book Archives -2004
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| 490 |
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|a Modeling Dynamic Systems
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| 028 |
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|a 10.1007/978-1-4612-0651-4
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| 856 |
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|u https://doi.org/10.1007/978-1-4612-0651-4?nosfx=y
|x Verlag
|3 Volltext
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|a 577
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| 520 |
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|a Models help us understand the dynamics of real-world processes by using the computer to mimic the actual forces that are known or assumed to result in a system's behavior. This book does not require a substantial background in mathematics or computer science
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