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The nonlinear function is considered to satisfy the one-sided Lipschitz condition, which has less conservative than the well-known global Lipschitz nonlinear condition.
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The numerical simulations are performed for both linear and nonlinear conditions.
Further, this training is made without imposing any condition on the distribution of data (nonparametric) and under nonlinear conditions.
A clearer understanding of the physico-chemical behavior of supercritical fluids in preparative chromatographic columns under nonlinear conditions is still needed.
In this paper, a method to estimate the electrochemical impedance under nonlinear conditions using a recursive least squares algorithm is presented.
In this paper, we study the boundary value problem for a class of nonlinear fractional q-difference equation with mixed nonlinear conditions involving the fractional q-derivative of Riemann-Liouuville type.
While under the nonlinear conditions, Auslender and Dafermos [4, 5] proposed an algorithm to solve variational inequalities (VI), x n + 1 = P S [ x n − τ n G − 1 F ( x n ) ], n ≥ 0, (1.1).
Investigations on mathematical modeling of the crack theory with nonlinear conditions for nonpenetration of the opposite crack faces presented as a system of equalities and inequalities, with relevant bibliography can be found in [16, 18 24].
Intelligent algorithms such as particle swarm optimization [20], artificial bee colony optimization [21], teaching learning based optimization [22] are also often used for multi-area optimization involving nonlinear conditions such as valve point loading effects.
The interpretation of Rrs and Xrs measured under nonlinear conditions (Figs 5 and 6) is difficult.
This is due to the fact that the complex viscosity is measured under conditions such that the structure in the material remains intact whereas the steady shear viscosity is measured under nonlinear conditions of deformation that causes the structure to dissolve.
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