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A numerical model has been applied to approximate this effect based on relativistic electron initiated nitric oxides creation in the upper mesosphere with subsequent atmospheric transport (both vertical and horizontal) towards the upper stratosphere.
The concept of a dominated mapping has been applied to approximate the unique solution of nonlinear functional equations.
More recently, Radial Basis Function Neural Networks (RBFNN) have also been applied to approximate the NP detector[25 27].
It has recently been applied to approximate a common zero of an infinite family of J-nonexpansive maps, (T_{i}: Erightarrow2^{E^), (ige1) (see Chidume et al. [78]).
In this paper, it has been applied to approximate a zero of a bounded maximal monotone map (A Erightarrow2^{E^) with (A^{-1}(0)neemptyset).
Assuming that active conformations of LCAPs are closely related to those in solution or in solid state, two-dimensional nuclear magnetic resonance (2D NMR) and crystallographic methods have often been applied to approximate the bioactive structure [15 20].
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Secondly, a T-S fuzzy model is applied to approximate the nonlinear dynamics of the plant.
Then a RBF neural network is applied to approximate the nonlinear compensator.
Finally, a secure aggregation over these block-wise Edit distances was applied to approximate the global Edit distance between the sequences.
In the second approach, a spatial bootstrap is applied to approximate the rock-physics relationship.
In this paper, metamodels based on radial basis functions are applied to approximate test functions known from the literature.
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