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The algorithm is based on a classical preconditioning technique that in general entails modifying both the instationary term of the governing equations and the dissipative term of the numerical flux function (full preconditioning approach).
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Here negation is understood in terms of the numerical representation of True and distinctness from the numerical representation of False.
In terms of the numerical results, some important observations and constructive enhancement suggestions are given.
As seen in Fig. 7, the distributed scheme overshadows the centralized scheme in terms of the numerical stability.
Regulatory thresholds and criteria also involve technical judgements, not just in terms of the numerical value, but in the way that numerical value is measured or expressed.
Among the conventional methods, nonED methods, such as DLLMMSE [14] and POCS [2], show high performance in terms of the numerical values.
Mutual information (Fig. 6) was then analyzed aiming at building a model whose descriptors are independent in terms of the numerical information they provide, thus avoiding redundancy.
Numerical results are presented, which confirms the quasi-optimal convergence of the adaptive edge element method in terms of the numerical accuracy and the total degrees of freedom.
In terms of the numerical stability control, the higher and lower values of the Courant-Friedrichs-Levy condition must be defined, as well as the maximum and minimum number of internal loops.
The dissipative effects of these stabilizers are quantified in terms of the numerical viscosity, using a generalization of the method previously employed to analyze numerical codes for the simulation of homogeneous, isotropic turbulence in triply periodic domains.
In terms of the numerical solutions presented in Figure 4, the basic etching rate is v p ∼ ( f 1 A 1 + f 2 A 2 ) − 1 = ( 0.3 1 + 0.7 2 ) − 1 = 1.54 (5.2). that is, this predicts that n w ∼ 1.54 t in Figure 4 where the wavefront n w is located at the centre of each of the Gaussian-like curves.
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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