This example illustrates an efficient way to model multiple objects of the same type or class without having to manually re-implement identical model logic and mathematics. In this case we're modeling population growth in three different cities. The population growth model has the following inputs: starting population, annual growth rate and growth rate variability (including an auto-correlation input). The values of the inputs may be different for each city, but the population growth dynamics are modeled in the same way. The model runs 100 realizations for 10 years with a daily time step. Growth dynamics are stochastic with different input parameters for the three cities.
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