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" Introduction to computational science : "
Angela B. Shiflet and George W. Shiflet.
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BL
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| Record Number
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632566
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dltt
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| Main Entry
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Shiflet, Angela B.
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| Title & Author
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Introduction to computational science : : modeling and simulation for the sciences /\ Angela B. Shiflet and George W. Shiflet.
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| Edition Statement
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Second edition.
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| Page. NO
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xxiii, 816 pages :: illustrations (some color) ;; 27 cm
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| ISBN
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9780691160719
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: 0691160716
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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Overview. Module 1.1. Overview of computational science -- Module 1.2. The modeling process. System dynamics problems with rate proportional to amount. Module 2.1. System dynamics tool -- tutorial 1 -- Module 2.2. Unconstrained growth and decay -- Module 2.3. Constrained growth -- Module 2.4. System dynamics tool -- tutorial 2 -- Module 2.5. Drug dosage. Force and motion. Module 3.1. Modeling falling and skydiving -- Module 3.2. Modeling bungee jumping -- Module 3.3. Tick tock -- the pendulum clock -- Module 3.4. Up, up, and away -- rocket motion. System dynamics models with interactions. Module 4.1. Competition -- Module 4.2. Predator-prey models -- Module 4.3. Modeling the spread of SARS -- containing emerging disease -- Module 4.4. Modeling a persistent plague -- malaria -- Module 4.5. Enzyme kinetics -- a model of control. Computational error. Module 5.1. Computational toolbox -- tools of the trade: tutorial 1 -- Module 5.2. Errors. Simulation techniques. Module 6.1. Computational toolbox -- tools of the trade: tutorial 2 -- Module 6.2. Euler's method -- Module 6.3. Runge-Kutta 2 Method -- Module 6.4. Runge-Kutta 4 Method. Additional system dynamics projects. Module 7.1. Radioactive chains -- never the same again -- Module 7.2. Turnover and turmoil -- blood cell populations -- Module 7.3. Deep trouble -- ideal gas laws and scuba diving -- Module 7.4. What goes around comes around -- the carbon cycle -- Module 7.5. A heated debate -- global warming -- Module 7.6. Plotting the future -- how will the garden grow? -- Module 7.7. Cardiovascular system -- a pressure-filled model -- Module 7.8. Electrical circuits -- a complete story -- Module 7.9. Transmission of nerve impulses -- learning from the action potential heroes -- Module 7.10. Feeding the problem -- antibiotic resistance -- Module 7.11. Fueling our cells-carbohydrate metabolism -- Module 7.12. Mercury pollution -- getting on our nerves -- Module 7.13. Managing to eat -- what's the catch? -- Module 7.14. Control issues -- the Operon Model -- Module 7.15. Troubling signals -- colon cancer. Data-driven models. Module 8.1. Computational toolbox -- tools of the trade: tutorial 3 -- Module 8.2. Function tutorial -- Module 8.3. Empirical models.
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Simulating with randomness. Module 9.1. Computational toolbox -- tools of the trade: tutorial 4 -- Module 9.2. Simulations -- Module 9.3. Random numbers from various distributions -- Module 9.4. Computational toolbox -- tools of the trade: tutorial 5 -- Module 9.5. Random walk. Cellular automaton diffusion simulations. Module 10.1. Computational toolbox -- tools of the trade: tutorial 6 -- Module 10.2. Diffusion -- overcoming differences -- Module 10.3. Spreading of fire -- Module 10.4. Movement of ants -- taking the right steps -- Module 10.5. Biofilms-united they stand, divided they colonize. Agent-based models. Module 11.1. Agent-based tool: tutorial 1 -- Module 11.2. Agents of interaction: steering a dangerous course -- Module 11.3. Agent-based tool: tutorial 2 -- Module 11.4. Introducing the cane toad -- able invader. High-performance computing. Module 12.1. Concurrent processing -- Module 12.2. Parallel algorithms. Matrix models. Module 13.1. Computational toolbox -- tools of the trade: tutorial 7 -- Module 13.2. Matrices for population studies -- linked for life -- Module 13.3. Time after time -age- and stage-structured models -- Module 13.4. Probable cause -- modeling with Markov chains -- Module 13.5. The next flu pandemic -- old enemy, new identity. Additional cellular automata, agent-based and matrix projects. Module 14.1. Polymers-strings of pearls -- Module 14.2. Solidification -- let's make it crystal clear! -- Module 14.3. Foraging-finding a way to eat -- Module 14.4. Pit vipers-hot bodies, dead meat -- Module 14.5. Mushroom fairy rings-growing in circles -- Module 14.6. Spread of disease-sharing bad news -- Module 14.7. HIV -- the enemy within -- Module 14.8. Predator-prey -- "catch me if you can" -- Module 14.9. Clouds -- bringing it all together -- Module 14.10. Fish schooling -- hanging together, not separately -- Module 14.11. Spaced out -- native plants lose to exotic invasives -- Module 14.12. Re-solving the problems with cellular automaton simulations -- Module 14.13. Re-solving the problems with agent-based simulations -- Module 14.14. Computational code-breaking -- deciphering our own mysteries -- Module 14.15. Social networks -- value in being well connected.
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| Subject
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Computer science.
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Computer simulation.
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Mathematical models.
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Computational complexity.
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| Dewey Classification
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004
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| LC Classification
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QA76.6.S54143 2014
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| Added Entry
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Shiflet, George W.
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