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Discover LudwigSuggestions(1)
The phrase "approximation is appropriate and" is correct and usable in written English.
It can be used in contexts where you are discussing the suitability of an approximation in a particular situation or analysis.
Example: "In this case, the approximation is appropriate and provides a reasonable estimate of the expected outcome."
Alternatives: "the estimate is suitable and" or "the approximation is fitting and".
Exact(1)
We shall therefore approximate the conditional expectation π g, s (t) by the ratio of the expectations (3) This approximation is appropriate and justified for practical purpose because the number of cells at time 0 in CFSE-labeling experiments is typically very large (N0 ≫ 105 or 10).
Similar(59)
In the case of diffusive mixing locally at pore junctions and no appreciable diffusion between, a simple network approximation is appropriate.
With this in mind, we wanted to compare the methods in scenarios where this approximation is appropriate, i.e. when the proportion of causal SNPs is high, and in scenarios when the approximation would be very different from the actual G matrix, i.e. when the proportion of causal SNPs is very small.
The conditions under which the single resistance approximation is appropriate are discussed in relation to the previously reported behaviour of representative systems (nitrogen and oxygen in carbon molecular sieve and 5 A zeolite pellets).
The heterogeneous structure is characterized by an exponential autocorrelation function with the fractional fluctuation ε and the correlation distance a. Gao et al. (1983) and Hoshiba (1991) pointed out that the first-ordered Born approximation is appropriate within a time window whose length is shorter than the mean free time of the medium by about 0.57 times.
Our analyses show that the Laplace approximation is appropriate for practical purposes.
The Radial Basis Function (RBF) approximation is appropriate for big scattered datasets in n dimensional space.
The directivity effects are limited for events with magnitude < 8.5, so a point source approximation is appropriate.
The radial basis function (RBF) approximation is appropriate for large scattered (unordered) datasets in d-dimensional space.
The period for which this approximation is appropriate will depend on the magnitude of any variations in network state.
We consider that the so-called thin-sheet approximation is appropriate for modeling MVS data due to the relatively limited frequency band of MVS data in general.
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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