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The idea of update was to find a better subset si-1, which maintained some scalar features Q(s i ) (such as invariant mean and vanishing moment) of the original signal, i.e., Q si-1) = Q si-1).
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Most important, plotlines must maintain (some) logic.
Then again, let's maintain some perspective.
It also helps to maintain some perspective.
They will also maintain some creative control.
Servers' databases maintain some auxiliary information for each data item.
The final step is to maintain, maintain, and maintain some more.
The computed wavelet subset di-1could be used to update s'i-1, which made the latter maintain the same scalar features.
If v is an eigenvector for the linear transformation T, then T v) = λv for some scalar λ.
Optimal regression designs are usually constructed by minimizing some scalar functions of the covariance matrix of the ordinary least squares estimator.
Berestycki and Lions [9] proved the existence of a ground state solution for some scalar equation.
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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