Sentence examples for point of computation from inspiring English sources

Nowadays we are experiencing the much anticipated breakthrough in personalized search efficiency by "actively adapting the computational environment - for each and every user - at each point of computation" [68].

The simulated results show that the turbulent boundary layer is formed and reaches the equilibrium state at a relatively short distance from the starting point of computation.

But these qualifications may sometimes become cumbersome to verify and give rise to optimality conditions that are very difficult to trace from the view point of computation.

However, the conventional MPM commonly uses a regular background grid with uniform cells, which is not apposite for localized extreme deformation problems from the view point of computation efficiency, where, in fact, a local refined background grid is preferable.

These serve as the starting point for computation of through-thickness distribution of transverse shear stresses in the vicinity of the circumferential re-entrant corner line of the internal part-through elliptical hole.

The optimal number of clusters is derived from the minimizing point of the computation complexity function.

FOS reduces the time consumed for orthogonal functions definition and the required memory through its implicit determination using GS coefficients, which are calculated using time averaging instead of point-by-point computation (Korenberg 1989).

A different set of issues arises in connection with the behavior of default logic from the point of view of computation.

Using this large amount of data may be highly informative, yet quite challenging for current methods from the point of view of computation efficiency.

The challenge of attaining a balance between cost of sequencing with respect to genome coverage, genotype calling and statistical power of the output data for GWAS was discussed by Abecasis from the computation point-of-view through the use of the AbCD (Kang et al. 2013) and Triocaller (Chen et al. 2013) software.

It is interesting to evaluate the various denoising methods from a practical point of view: the computation time.