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In order to fit this model, it is usual to assume that the functional observations and the parameter function of the model belong to a same finite space generated by a basis of functions.
Overfitting could reduce the forecasting function of the model.
The canonical partition function of the model is calculated exactly.
The objective function of the model is listed in Eqs.
In this section, we explain the decision variable, constraints, and objective function of the model.
Section 3 establishes the objective function of the model and describes the constraints of the model.
Objective function of the model is defined as minimization of network cost per unit resilience measure.
The transmission function is wavelength-dependent and a function of the model abundance of ozone and molecular oxygen.
Also, they provided a suitable approach that calculates a lower and upper bounds for the objective function of the model.
The canonical partition function of the model is calculated and phase behavior of this model is investigated.
Central to this method is a bounding function, which is a function of the model and controller parameters.
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