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The DWFT has one important advantage for numerical problems compared with the corresponding wavelet Fourier coefficients: while fast computational algorithms for wavelet Fourier coefficients are recursive, DWFTs can be computed by explicit formulas without any recursion and the computation is fast enough.
The computation is fast and it produces satisfactory results.
The evaluation of the CM VaR bounds is easy to implement and its computation is fast.
FFT VaR TLF-BG NTS TLF_BG TLF_BG NIG (ii) The evaluation of the CM VaR bounds is easy to implement and its computation is fast.
This innovative approach has two advantages: (1) the regression model used in this method is so simple that the numerical computation is fast; (2) since the model is low order, experimental runs are relatively few.
For example, we implement it in SAS, and the computation is fast even when k is relatively large.
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Moreover, its computation is faster.
The main advantage of the new method is that it is simple in concept and easy for implementation, and the convergence of numerical computation is faster and more stable than the conventional IBM.
The computational results can be found in Figure 3. From Figure 3, it can be seen that EFP computation is faster than ProCEM computation for small subnetworks.
Dimension 10 was selected because the results did not improve significantly with a higher dimension and the computation is faster when the dimension is set lower.
Contact computations are fast enough to realize cyclic wear computations.
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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