Sentence examples for more efficient computation from inspiring English sources

For more efficient computation of seismic cycles, we execute simulations with H-matrices on massively parallel computers.

Thus, we enable a more efficient computation of optimal policies of the Markov decision process.

The results show that the proposed hybrid directional step method presents good robustness and more efficient computation in practical application.

We investigate the conditions under which the two classes of queries are equivalent; this allows for more efficient computation of skyline queries.

He et al. [9, 10] proposed a run-based procedure for the first-scan of the two-scan labeling algorithm that could lead to more efficient computation time with regard to images with many long runs and/or a small number of object pixels (VO < VB: VO for the pixel value for the object and VB for the pixel value for the background).

However, some advantages of CSM approach compared to ConMap and ConStat are i) a reduced set of scales that still manage to represent the entire extent of the range of scales, ii) a reduced set of attributes at each scale, iii) more efficient computation, and iv) better interpretability of the important covariates used in the modelling and thus of the factors that affect soil formation.

From this initial model, more recent alternative frameworks have arisen to provide more efficient computations for iterative process, which are the basis for any Machine Learning algorithm.

The Gaussian basis is introduced with the aim of achieving more efficient computations in the weak noise case with near-deterministic dynamics.

In such situations, writing the likelihood as a sum over allele state and origin allele variables may lead to more efficient computations [ 12].

Note that, because this limited-memory approach can be used to allow significant increases in locality of reference, it can provide more efficient computations even when the amount of high-speed memory might otherwise be considered sufficient.

While the former problem is, to some degree, amenable to careful analysis potentially enabling more-efficient computation [39], the latter problem is extremely difficult to deal with.