Sentence examples for much reduced computation from inspiring English sources

The EBG technique was found to approximate the real bending stiffness, thus enhancing the stability of membrane models and allowing simulation of bending-sensitive configurations, at much reduced computation times compared to standard shell approaches.

Unlike the conventional methods that use two stages for separating the features: data segmentation and feature separation in each segment, the proposed algorithm adopts a new structure and thus the computation complexity is much reduced.

However, the computation time for PLSR/PCR was very much reduced compared to the 'BayesB': e.g. 'BayesB' used approximately 200 minutes to compute the marker effects for the lowest marker density, which was approximately 65 times longer than PLSR/PCR, and the computer time increased rapidly as the marker density increased (Table 3).

Thus, despite the new classification strategy being somewhat more computationally complex than the sequential strategy of [1], our new features reduce computation so much that the overall result is about 23%% savings in running time.

Compared to the computation time of DSAD (3.51 h), the average computation time of these two features on the IEEE-SA database was much reduced (0.78 h).

As a result of the parameter-explicit weight computation in IS-based methods, the number of particles with non-negligible weights is much reduced at every time instant (as one looks for both good state and parameter samples).

We demonstrate that, by combining with the CE method, a surrogate-based IS algorithm can be constructed and is highly efficient for rare failure probability computation it incurs much reduced simulation efforts compared to the traditional CE-IS method.

Lower calypter much reduced or absent.

Since IBD segments are typically much shorter than their corresponding chromosome, we reduce computation time by calculating likelihoods using only genotype data in the interior of the candidate IBD segment.

Long bins also help filter out noise and reduce computation burden.

As the repeated computation of path overlap and divergence is very time-consuming in the current implementation, reducing computation time is a priority.