Sentence examples for much greater computational from inspiring English sources

However, our application has few topics and comparatively large images, so we prefer PLSA for its much greater computational efficiency.

This improvement in detection accuracy comes at the expense of much greater computational cost, however (see Section 5 for detection accuracy and performance results).

Such a processor can provide the high-level-language programmability of a general-purpose DSP but with a much greater computational throughput relative to power dissipation for algorithms that admit high levels of data parallelism.

This could potentially cause bias in the alignment of the cross-sections, especially ones with considerable noise, and it would require much greater computational time to determine a window for each cross-section of each projection.

As the CFD model described provides a rich mechanistic analysis of membrane chromatography systems and the ability to explore operational space, but requires detailed knowledge of internal capsule geometries and has much greater computational requirements, it is complementary to the previously described strengths and uses of the ZRM for process analysis and design.

The lower number of cycles under "LG" was due to a much greater computational time per cycle as compared to when the "CAT" model was used.

Higher-order methods yield not only comparable accuracy but also require much coarser discretization with greater computational efficiency.

This is carried further by GGH, which achieves much greater accuracy with much less computational effort.

Chemomentum is a direct successor of OpenMolGRID in ideological plane, but features completely new grid middleware software and much greater number (up to 24) of computational chemistry software.

For MCG, because there was some variation among replicates, the computational load was much greater and therefore the comparisons for MCG were restricted to all three values of D with Ne =100, T = 200, and with MAF greater than 0.05.

The recent call for a more systematic examination of the entire transcriptome – RNomics [ 14] led to much greater interest in ncRNAs and a variety of wet and computational approaches to their identification [reviewed in [ 15, 16]].