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Applying Mathematica in Decision Support Systems
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A convenient way to observe the behavior of a dynamic model is to observe "snapshots" of the model over time. This can be done by observing a model's "state" space. That is, what is the current status of the servers and number of cars in the model? We shall see that for our model there are a finite number of states to consider. This number or dimensional characteristic of our model can be overcome in a limited way by our computer approach. We also seek the steady-state probability of each of these states. The "steady-state" probabilities are independent of the time when the "snapshots" are observed. In effect, the model has had enough time to warm up and has reached a "steady" state.
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| Chin.code.nb (117.9 KB) - Mathematica Notebook |
Files specific to Mathematica 2.2 version:
| | Chin.code.ma (59.4 KB) - Mathematica Notebook 2.2 or older |
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