Sentence examples for increasing computational cost from inspiring English sources

Note that such difference can be removed by employing much smaller ∆I for the Ag microwire mesh at the expense of increasing computational cost.

As already mentioned in the Introduction, one advantage of Bayesian techniques is that automatic model selection can be performed on a per-segment basis at the price of increasing computational cost.

For improving the accuracy of surrogate models without significantly increasing computational cost, a rigorous sample selection is employed to reduce additional design samples based on design of experiments over a sequential trust region.

Extending the population of conformations would most likely increase the MCC up to the limit defined by the number of compounds that were not docked into any receptor model, yet the increasing computational cost of such tests may render the results not worth the effort.

A new divergence-free ISPH approach is proposed here which maintains accuracy and stability while remaining mesh free without increasing computational cost by slightly shifting particles away from streamlines, although the necessary interpolation of hydrodynamic characteristics means the formulation ceases to be strictly conservative.

However, the additional test leads to increasing computational costs.

HMMERHEAD uses a filtration approach that employs four filtering stages with increasing computational costs to reduce the search space for the subsequent application of the hmmsearch engine.

Specifically, in human studies where we have to deal with huge amount of expression and genomic data we expect strongly increasing computational costs, prompting the development of further heuristics and improved computational techniques that will allow us to tackle more challenging GWAS problems.

The latter solution results in an obvious drawback of increased computational cost or in other words high-performance computing hardware requirements.

The sensitivity and general applicability of metaMix comes at an increased computational cost, requiring access to a multi-core computer to run efficiently.

A larger K, however, implies an increased computational cost.