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Statistical convergence is quite effective in the approximation theory.
The results show that the new construction of the operators, that is, the genuine generalized Bernstein Durrmeyer cases, are more effective in the approximation process than both the generalized Bernstein Durrmeyer and the classical Bernstein Durrmeyer operators.
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The effective properties are first derived in the approximation of non-interacting inclusions.
Figure 6 a verifies that the high SNR approximation is not effective in the low-to-medium SNR scenario that we have simulated.
We found that endoscope was very effective in ensuring satisfactory approximation of graft material to the perforation margins in large and subtotal perforations as well.
This paper addresses new algorithms for constructing weighted cubic splines that are very effective in interpolation and approximation of sharply changing data.
Through extensive large-scale experiments, our approach is shown to be very effective in terms of approximation quality, computational time and scalability.
In order to make the approximation effective in both computational effort and accuracy, the KLE representation of N x) can be written in a finite form as follows (Liu et al., 2006; Li and Zhang, 2007): N ˜ x = μ x + ∑ n = 1 m ξ n λ n f n x (7).
The problem of prediction of effective properties in some approximation can be solved involving only the averaging statistical descriptors.
This result can be understood in terms of the effective medium approximation of the Si NW array.
That is why the Yosida approximation turned out to be more effective in this scenario, because the Yosida approximation (1.21).
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