Sentence examples for full approximation from inspiring English sources

Numerical simulations of academic and practical engineering problems show that the modified algorithm is much more efficient than the FMG FAS (Full Approximation Storage) method.

Further, a nonlinear full approximation storage multigrid algorithm is used for solving semi-implicit formulations of the multi-component CH system, incorporated with an adaptive mesh refinement technique.

Thus, the nonlinear Full Approximation Scheme (FAS) multigrid method has been applied to solve this system of algebraic equations, which has been shown the nearly optimal complexity numerically.

The first algorithm (nonlinear multigrid, NMG) is a pseudo-time-stepping scheme which employs a nonlinear full approximation storage (FAS) agglomeration multigrid method to accelerate convergence.

In order to reduce the computational time cost, we propose the spectral multigrid algorithm in full approximation storage (FAS) scheme and implement it through V-cycle multigrid and full multigrid (FMG) strategies.

The multigrid method considered here is nonlinear and utilizes full approximation storage (FAS) [Ta'asan S. Multigrid one-shot methods and design strategy, Von Karman Institute Lecture Note, 1997 [28]] scheme.

In addition, Pollstar incorporates projections on shows not reported by promoters to provide a fuller approximation of the actual totals.

The statistics in Table 4 suggest that the subsample provides a good approximation to the full sample in reproducing approximately the same between-country correlation observed in the full data.

There is general agreement on which subtests are to be used to arrive at good approximation of a full scale IQ [ 47].

We expect L to provide a good approximation of the full network, as genes further away will exert a diminishing influence on the inference of the FG.

Recall from the Introduction that in many applications of ABC, the user chooses summary statistics such as the number of segregating sites in a random sample of n DNA sequences simply because such a statistic is heavily used in the application area without considering whether the chosen summary statistic renders the partial posterior to be a good approximation to the full posterior.