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Nonlinear kinetics are required to produce oscillations, particularly in small models, and the necessity for nonlinearity decreases with increased size (or other complexities) of the model.
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All p values were calculated within the mgcv package, which allows for the complexities of the models.
These assumptions greatly reduce the complexity of the model.
Theorems are given to tackle the complexity of the model.
However, this algorithm increases the computational complexity of the model.
Because of the complexity of the model, the results are illustrated with numerical solutions.
To overcome the structural complexity of the model, the Monte Carlo simulation method is applied.
The role of the merge process is to reduce the complexity of the model.
The linear membership functions are adopted to reduce the complexity of the model.
Numerical simulations are conducted to demonstrate our theoretical results and the complexity of the model.
In the following section, we describe a method for substantially reducing the complexity of the model.
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