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Simulations are carried out to analyze the performance of the proposed optimization method, which show the importance of the rolling strategy.
We establish error estimates for the method which show that the method can achieve any desired accuracy by assigning the corresponding accuracy to the sub-algorithms and has better accuracy under an assumption on the zero level set of the level set function which holds generally.
Figures 11 and 12 are the output of this method, which show mean and distribution, respectively.
Finally, we give some numerical results of the given method which show the effectiveness of it.
For all the transmission schemes, we plot the theoretical expressions and the simulation results, obtained via the Monte Carlo method, which show the accuracy of the theoretical analysis.
In the simulations, we compared our approach with the approximate maximum likelihood method which show the superiority of the proposed method.
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Mr. DiNapoli said the pension fund had already changed to an accepted method, which showed the fund had a small surplus.
In addition, the obtained full matrix data were compared to those measured by combined resonance and ultrasonic method, which showed that our method exhibited high accuracy.
The experiments were designed according to the Taguchi method, which shows great advantages in optimising more than two factors that need to be considered in an experimental design.
The RP were then purified by the macroporous resin method, which showed the resin LX-68 was appropriate for purifying the pigments from C. japonica.
The discriminative common vectors (DCV) algorithm is a recently addressed discriminant method, which shows better face recognition effects than some commonly used linear discriminant algorithms.
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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