Sentence examples for as often encountered from inspiring English sources
Moreover, several levels of refinement can be used with this new technique, as often encountered in adaptive mesh refinement techniques in mesh-based methods.
However, current thin client protocols are not designed to handle new content types as often encountered in state-of-the-art applications (e.g. multimedia editing, gaming, multimedia playback).
The number of objective functions range from two to three and the number of variables from two to eight, as often encountered in simulation-based engineering problems.
Therefore, in case of concentrated systems, as often encountered in extraction and distillation processes, errors are made when the film model is used instead of the more appropriate penetration model.
The method, combined with proper in situ spectroscopy, is powerful for elucidating complex systems and noisy data as often encountered in heterogeneous catalytic reactions at solid liquid and solid gas interfaces under working conditions.
The goal of this work is to develop a novel splitting approach for the numerical solution of multiscale problems involving the coupling between Stokes equations and ODE systems, as often encountered in blood flow modeling applications.
He said although he had excellent relations with top Russian officials, as a Kosovar he also often encountered hostility, especially from members of the nationalist-dominated lower house of Parliament.
These databases typically included multiple independent variables, such as specimen dimension and type, material property, R-ratio, and welding condition, such as are often encountered in a typical design of experiments approach to testing.
However, when the channel noise is correlated and unknown as is often encountered in practice, the performance of the SS method degrades severely.
Then, we tested the usefulness of our approach in recovering coherent gene set from 'noisy' gene lists as is often encountered in high-throughput experiments.
As will be shown below this turns out to be very useful when constructing confidence regions that are robust to small departures from the model assumptions, as are often encountered in practice.
