IT

| March 13, 2016

Which advantage of simulation models makes computational modeling a particularly attractive tool for designing totally new systems? 2. What about stochastic components makes some systems difficult to model? 3. What happens in a simulated system when we process an event? 4. If a value in a simulation model behaves in a random fashion, but follows a statistical distribution pattern, what are the implications of this? 5. With what is the field of scientific visualization concerned? 6. List at least four reasons for the construction of a simulation model as opposed to the study of the system itself, or a physical replica of the system. 7. Discuss how you can discover whether or not a value (number of customers served in a restaurant) follows a statistical distribution. 8. What is the difference between computer graphics and scientific visualization?

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