Sentence examples for this approximation is that the from inspiring English sources

A major consequence of this approximation is that the resulting solver can deal with any Equation Of State.

For the functions (6) and (7), closed-form solutions may then be obtained for γ 0. The obvious interest of this approximation is that the resulting formulation is based on the c.d.f.f

One consequence of this approximation is that the formulas in (30) and (37) (for the bias), and (33) and (38) (for the MSE) do not properly capture the effect of the denominator in Equation (22), which is relevant for the performance of the ML estimator τ ̂ ML in the low SNR region.

The advantage of this approximation is that the contribution of each biotic niche variable, Bi, is independent of the rest, so that, in the case where abiotic variables are also explicitly included, the relative importance of both biotic and abiotic factors can be studied.

The main advantage of this approximation is that the light propagator for the first process of light backscattering from the host medium, i.e., the Green's function G0(ρ d,0), is exactly the clean image, I c ¯, which has been computed directly from the measured data set as outlined above without assumption of any particular light propagation model in the medium.

One of the various rules that may be used to decide whether a sample size is large enough for this approximation is that both the expected value and the value of the sample size minus the expected value must be greater than 5.

An advantage of this approximation is that it can neglect the sound waves, which often highly influence the rarefied CFL condition.

The rationale behind this approximation is that stochastic synthesis or degradation of a few molecules will not significantly change the equilibrium of interacting proteins when large concentrations of proteins are already reacting.

The merit of this approximation is that it is somewhat easier to implement and compute in practice.

The key advantage of applying this approximation is that cell motion in these spatially uniform subregions does not contribute to any temporal changes in cell density.

The implication of this Gaussian approximation is that only the capacity mean and variance are required to obtain an accurate approximation even for a lower number of relays, for various fading scenarios, and with a wide range of transmitting signal-to-noise ratio (TSNR).