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This approximation is good for e.g. dispersive interactions, but is known to be bad for at least the gaseous phase of polar fluids up to moderate densities.
This approximation is good for scales greater than 10 km [12].
This approximation is good for gravity-induced flow over vertical surfaces with negligible temperature variation of T∞ with x.
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BIC provide an asymptotic approximation to the negative log of the Bayesian marginal distribution under suitable regularity conditions, with the approximation being good for large n values [ 10].
It has a fully compressible horizontal discretisation and a quasi-Lagrangian vertical discretisation approximation which is good for scales larger than 10 km (Neal et al. 2012).
An approximate expression for the packet-loss probability is derived for networks with one or more mutually interfering clusters in Rayleigh fading environments, and the approximation is shown to be good for relevant scenarios.
It is evident that overall approximation is less good for the clearance than for the nonclearance exposure index.
It is shown that the Fokker-Planck approximation is surprisingly good for sizes down to a few atoms.
The approximation is rather good for high first-order reaction rates, short diffusion times and if case II diffusion is approached.
The rational approximation is particularly good for series with alternating terms and poor polynomial convergence.
The rational approximation is particularly good for series with alternating terms and poor polynomial convergence (see [17 19]).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com