Sentence examples for behavior of our method from inspiring English sources

We also investigate the convergence behavior of our method for this example.

The convergence behavior of our method is consistent with that of the central difference approximation of the classical Laplace operator.

The comparison with other approaches (macromolecular quadratic indices, Markovian Negentropies and 'stochastic' spectral moments) reveals a good behavior of our method.

The extensive numerical examples that accompany our analysis verify our results, as well as give additional insights into the convergence behavior of our method.

To study the asymptotic behavior of our method x_{n+1}=W_{n} bigl alpha_{n} Sx_{n}+ 1-alpha_{n}) (I-mu_{n}D)x_{n} bigr) (2.1) we suppose that there exists tau:=lim_{ntoinfty}frac{alpha_{n}}{mu_{n}}.

In this respect, we tested the behavior of our method by computing its accuracy as function of the reliability measure [see Section 2, Equation (8)].

The goal is to understand the behavior of our methods in diverse settings.

The comparison with the other approaches also revealed good behaviors of our method in this QSAR study.

In our simulation, we first demonstrate some typical convergence behaviors of our proposed method.

In this study, we provide a mathematical analysis (modified equation analysis) that examines and compares the time convergence behavior of our self-consistent IMEX method versus the classic IMEX method.

We notice here that these global behaviors of our normalization methods (both on hierarchical classifications and bar-plots) were also encountered in the simulation study, which would tend to validate the simulation approach.