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The equations for the proposed model are nonlinear equations in which the displacements and currents are coupled.
This problem arises from the fact that some of the stochastic processes involved in the multiple object tracking model are nonlinear or/and non-Gaussian [29].
The fluid forces and the added mass and drag forces are modeled using a semi-empirical Morison equation, so the equations of the model are nonlinear, coupled, and multibody.
Because of the fact that the coefficients of (5) depend only on the parameter Λ, which is constant with regard to θ and z, and with regard to h, which is a periodical function on θ, one finds, as a result, the solution of the equation is periodical: begin{aligned} p(theta,z =p(theta+2pi,z). end{aligned} (9) It is easy to see that the equations of the mathematical model are nonlinear.
Gradient and pseudo-inverse learning methods are inapplicable because the functions in the proposed model are nonlinear and cannot be differentiated as a result of the feedback loop.
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The model is nonlinear due to the inherent nonlinearity of the intermolecular and electrostatic forces.
The model is nonlinear due to the inherent nonlinearity of the Casimir and electrostatic forces.
The model is nonlinear and takes into account secondary nonlinearities like hysteresis, saturation, bounce and mutual inductance.
The IPC model is nonlinear.
Secondly, as the model is nonlinear, iterative algorithms are required.
The vehicle model is nonlinear, multivariable and unstable.
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