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It is a tribute to the effectiveness of that mentality that, over the years, so many big integrated firm have tried to copy Nucor's methods by setting up their own minimills.
We will exploit (mathcal{L}_{mathrm{SOR}}) ((omega)) and (mathcal{N}_{mathrm{SOR}}) ((omega)) for numerical comparisons with state-of-the-art methods, by setting the relaxation parameter ω optimal.
Figure 2 [ 17] denotes the comparison of different recognition methods by setting a threshold.
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Specifically, the weighted strategy is integrated into our proposed method by setting weight for each class based on its size.
Some of the paintings on display at White Cube sustain this working method by setting a clump of thorn bushes before an ashy grey winterscape that speaks (much less ponderously than this makes it sound) of chill death and resurrection.
The discharge-based non-linear models have been used as the basis for the derivation of the variable-parameter Muskingum routing method by setting the truncation error at par with the diffusion parameter.
With the similar method, by setting, we obtain a classical solution of the following problem.
It will also be shown that this LVF method could easily achieve an equivalent result to the existing HOT method by setting proper factors.
We also show that this proposed loading variable factors method can achieve an equivalent result to the higher-order truncation method by setting proper factors.
For small sample sizes, we would suggest the use of non-linear least-squared method by setting (beta = {tilde beta }_{2}) (i.e., Method 4) to estimate the parameters α and ν.
Then, under the condition of the aforementioned array errors with k r=1.5, we design the HOT method by synthesizing the 0th- to 5th-order eigenbeams and the 0th- to 4th-order eigenbeams, respectively, and design the LVF method by setting δ 0=20 dB.
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