Sentence examples for study on this approximation from inspiring English sources

A more extensive study on this approximation method can be found in [42].

We, firstly, validate the theoretical analysis presented in Sections 4 and 5. Given the non-central/central approximation in Lemma 1, we study the approximation accuracy as well as the impact of the SNR on this approximation.

The results are applied to the study on the semiclassical approximation of the eigenvalues of Schrödinger operators with magnetic fields.

Further details on this approximation are given in Appendix A.1 Loglinear approximation of residual BER curves.

For always-on networks, this approximation ratio is 12.   3.

Further analysis is required to study the effect of this approximation.

There have been many studies on the simultaneous approximation capability of feedforward neural networks (FNNs).

In addition, we performed parameter studies based on the approximation formulae to understand under which conditions certain channel loads or CAM rates may appear.

Instead, most studies focus on an approximation of a \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$M/G/c/\infty $\end{document }queue.

This study presents an approximation method called self-adjusted convex approximation for optimum design of structures.

Taylor's theorem gives quantitative estimates on the error in this approximation.