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In view of the advantages and disadvantages compared to conventional methods, this paper improves the precision of image size measurement with a new algorithm that uses an approximate function to describe edge degradation.
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To overcome this, we propose to use an approximate function of the end-to-end achievable rate, which we refer to as R soft,k (γ k (F X)) and is a function of { ξ ̄ k } k = 1 K, t, and γ k (F X).
Nevertheless certain key effects in quantum metamaterials can be investigated at a more elementary level using an approximate wave function (e.g., [26 29]), or treating the electromagnetic field classically [18, 19, 30, 31].
This strategy however would require to evaluate V t (S t ) for all S t ∈ S. When using ADP however, we do make decisions by stepping forward in time – in an iterative fashion – by using an approximate value function.
Kriging surrogate model combining design of experiment (DOE) methods is used to build an approximate function relationship between warpage and the process parameters, replacing the expensive simulation analysis in the optimization iterations.
By using a smoothing approximate function, the local convergence of the proposed method has been analyzed.
The convergent conditions of the nonlinear MHSS-like iteration method are obtained by using a smoothing approximate function.
By using a smoothing approximate function, the convergence properties of the nonlinear MHSS-like iteration method are presented.
We use an approximate gain function to fit the directional antenna gain function.
Pybus et al. [ 14] presented the "skyline plot" method that uses a step-function to approximate the population history obtained from an estimated genealogy.
Their height characterizes the whole profile, since the other dimensions can be expressed by height using approximate functions derived from the data of a profile series selected from available sections.
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