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The first term approximation is at once different and improves upon the traditional one-dimensional formula.
The last fraction needs to be the lowest possible unit fraction, which still is big enough such that the approximation is at least equal to the fractional part.
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They show that the electrical response is fast (rising time ≈5 ms) and that the analytical approximation is better at the tip and remains correct everywhere at better than 16% up to 0.2 nS.
For these non-regular structures, the effective medium approximation is better at reproducing their optical properties.
The leading approximation is deficient at short times due to the neglect of the memory terms.
For a wide variety of cases, the approximation is valid at the decline stage.
This approximation is valid at the very low impurity concentration and very low temperature.
For all the existing methods, the accuracy of approximation is improved at the expense of the computational complexity.
High-pass-filtered magnetogram is shown at left panel, log-log PSD spectrum (Pi (F)) and its linear approximation is given at right upper panel.
As a result, in the case of sinusoidal source with a small amplitude of oscillations, the constant source approximation is applicable at the start-up process [21, 22].
Cosupport and measurement residual are estimated alternately in the forward stage and fine-tuned in the backward stage, and the signal approximation is obtained at the end of the procedure.
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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