Sentence examples for excessive computing from inspiring English sources

This development involved experimenters and theoreticians working in harness; the results of specially revealing experiments served to check the validity of approximations without which the calculations would have required excessive computing time.

Thus, avoiding the possibility of excessive computing overhead routing will be a topic of future work.

The approach shows various advantages over alternative methods including prompt fault detection and localisation, applicability to large-scale systems without the need for excessive computing resources, and a modular architecture that allows plant sections to be treated individually.

Larger samples require excessive computing resources.

A limitation of our resampling methodology was that in order to avoid excessive computing time we used only 10 imputations for most of the comparisons, leading to noisy estimates of between-imputation variability.

Partial search strategies, based on biological knowledge (Emily et al., 2009) or filtering unimportant SNPs prior to analysis (Kam-Thong et al., 2011), are adopted in some studies in order to reduce excessive computing burden but risk missing some types of variation.

Resource-efficient data structures allow for the algorithm to operate over large areas and large datasets without excessive compute resources; modular design allows for more complex spatial representations to be included if required.

Analytical evaluation of sensitivities is a time demanding task, and in order to avoid excessive computation times, distributed computing strategies have been implemented which can be considered as an additional benefit of this approach.

We restrict ourselves to networks of moderate size due to the excessive computation time involved in computing the betweenness centrality for larger networks.

However, computing several engine cycles results in excessive computational costs.

Therefore, it is important to consider battery capacity as a constraint and to employ algorithms that do not take excessive amounts of computing time and are energy-efficient.