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In this paper, we consider the acoustic cloaking based on singular transformations and its approximation in the context of scattering problems in R3.
A more realistic aim is therefore to identify a model that provides an acceptable approximation, in the context of the application in which it is used.
Hence, this motivates the use of the new APP approximation in the context of EM channel estimation for trellis-coded modulation.
For the first time in the literature, the beam-shape coefficients for ordinary Bessel beams were numerically evaluated using the integral localized approximation in the context of the generalized Lorenz-Mie theory.
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This paper explores the approximation power of Moving Least-Squares (MLS) approximations in the context of higher-order finite volume schemes on unstructured grids.
Two families of high-order locally conservative schemes matching this discretized skew-symmetric form are considered and rewritten in terms of telescopic fluxes for both finite difference and finite volume approximations in the context of compressible flows.
Back-propagation neural networks (BPN) have been extensively used as global approximation tools in the context of approximate optimization.
Artificial neural networks (ANN) have been extensively used as global approximation tools in the context of approximate optimization.
So it is natural to consider fixed point and approximation results in the context of locally convex spaces.
So it is natural to consider fixed point and approximation results in the context of a locally convex space.
So it is natural and essential to consider fixed point and approximation results in the context of a locally convex space.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com