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A comprehensive experimental design is designed to analyze the behavior of our models when several levels of demand variability and parameter values are considered.
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Moreover, we observe some essential differences of the behavior of our model from that of the classical Lotka Volterra model that seem to arise only in the heterogeneous case.
In summary, the typical behavior of our model in the presence of agent renewal may be divided into four distinct regimes: (i) Eternal peace ( ϵ A > ϵ A ∗ ): The system reaches consensus very fast and remains there for ever.
The results show that the temporal behavior of our model is superior to other models, and the traffic signal controller has good effect on traffic jam suppression and traffic CO2 emission, which fully supports the theoretical conclusions.
The results and the correct behavior of our model suggest that the plasma gas chemistry is the most fundamental factor in the process of plasma treatments of CNT films.
To this end, we analyze the behavior of our model by studying the impact on the optimized solutions of the expected-compliance and variance weight coefficients, the laws used to describe the random loads, the variance of the perturbations and the dependence/independence of the perturbations.
The behavior of our model uniquely depends on the mortality function, g, although the shape of this function in nature is unknown.
To further investigate the behavior of our model, we look at how of the number of groups (the diversity regime) scales with the communication rate for different system sizes (Fig. 6 A).
This 'peak' behavior corresponds with the behavior of our model in region IIIa.
We therefore examined more closely behavior of our model in these cases.
Thus, in this work we study the behavior of our model as a function of the parameter.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com