Sentence examples for large computational load from inspiring English sources

However, these approaches may not be effective due to slow convergence and large computational load.

However, the Vogt method requires rather large computational load because it works with no information about the search space.

On the other hand, the minimum entropy approach iteratively estimates the motion coefficients in sequence via the linear search, which is deemed to involve relatively large computational load.

Similar to the coarse acceleration estimation in [14], the choice the search step is heuristic as a large search step causes precision degradation and a small one involves large computational load.

However, the classical FDCN scheme for the 2D Sobolev equation is a macroscale system of equations containing lots of unknowns, i.e., degrees of freedom so as to undertake very large computational load in the real-world engineering applications.

However, the SMFE method includes a lot of unknowns so as to amass a lot of truncated errors and bear very large computational load in the real-world engineering applications.

Computations have demonstrated that the platform heterogeneity, allowing a very efficient use of the computational resources, can be considered a key feature for sustaining large computational loads.

Therefore, the approach of the proposed tracking algorithm can work well under the large computational loading conditions.

To avoid large computational loads when solving the auxiliary equations of the PML, we assumed that the material in the PML zone was perfectly elastic and did not calculate the memory variables (Eq. 6), for the anelasticity.

These consistent observations point toward potential common organization principles where regions with a microscale architecture supportive of a larger computational load have more and stronger connections in the brain network on the macroscale.

The eye muscle geometry, however, may place a larger computational load for vertical control to conform to Listing's law during motor planning (Angelaki & Dickman, 2003; Boeder, 1962; Simpson & Graf, 1981); therefore, it is possible that this larger computational load at the premotor stage contributes to decreased accuracy.