Understanding Discrete Event Simulation, Part 3: Leveraging Stochastic Processes
Автор: MATLAB
Загружено: 2017-07-25
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Learn how discrete-event simulation uses stochastic processes, in which aspects of a system are randomized, in this MATLAB® Tech Talk by Will Campbell. Stochastic processes are particularly important to discrete-event simulation, as they are a method you can use to approximate the details of a system that you either can’t or choose not to model. The video explores why you would choose different random distributions, and why you would mix determinism and non-determinism. It explores how careful placement of probabilistic terms enables you to conduct meaningful analyses without overcomplicating the model.
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