Sentence examples for approximation effect from inspiring English sources

Some examples are provided to show the efficiency, the approximation effect and the convergence rate of the new method.

The comparisons also indicate that cooperative coevolution strategy and hybrid learning improve the performance of original PSO algorithm, offering better approximation effect and stronger robustness.

Within the TB approximation, effect of charge transfer is not described.

In numerical tests, the regularization parameter α is selected by α = δ 2 M 2. From Figures 1 and 2, we can conclude that the approximation effect of wavelet dual least square regularization for y = 1 and y = 0.5.

Motivated by the advantages of ridge basis function representation of a given function, such as the connection to neural network, fast convergence as the number of terms is increased, better approximation effects and various applications in engineering problems, a meshless method is developed based on the collocation method and ridge basis function interpolation.

As generally sigma-points can effectively capture the first 2 moments (mean and covariance) of the distribution (for gaussian any symmetrical sigma-points set also capture the third-order moment, i.e., skewness), the parameter also can be used to minimize the error of higher-order moments of the distribution due to sigma-point approximation effects.

The earlier paper by Jensen et al. on subsurface scattering compute the contribution from multiple scattering by sampling the irradiance at the material surface and evaluating the diffusion approximation – in effect convolving the reflectance profile predicted by the diffusion approximation with the incident illumination.

This is a reasonable approximation for effects of water flooding which has been inherently used for further parametric studies.

In addition to providing a comprehensive meta-analysis, the current article includes a qualitative review of the findings for which there were too few cases (i.e., < 3) for reliable approximations of effect sizes.

We suggest that, as a first approximation, topographic effects can be incorporated in the models by varying the wind rose at the sampling point to reflect the impact of topography on air flow.

Quantitative agreement with experimental results can be obtained by using a single multiplying factor on the particle surface area to account for (as a first approximation) the effects of porosity.