Sentence examples for for fast computing from inspiring English sources

Two alternative algorithms were presented that can be implemented in various genomic prediction models for fast computing of SNP effects.

For faster computing, an alternative to using the full log-likelihood is to determine parameters γ and s ~ based on observed marker genotypes only, i.e. by maximising ℓ ~ mark (γ, s ~ ), and to estimate the remaining parameter based on ℓ ~ y ∣ m o (σ a 2, σ e 2, ω, γ, s ~ ) for a grid of values for ω, with estimates of γ and s ~ plugged in.

The combination of fast photomultipliers, scintillators with high density, modern electronics, and faster computing power for image reconstruction have made it possible to introduce this principle in clinical TOF-PET systems.

The primary objective of dividing the kernel programme into an analyser and a simulator is to achieve faster computing performance for the train driving simulator, while more detailed simulation results can still be attained using the analyser with the train control information recorded during the train driving simulation.

Brower data is disposable; something to be purged for all sorts of reasons (faster computing, the concealment of impulses we deem shameful), but is it ever truly erased?

The ARCHOS 9 features the new Z515 Intel® processor, Microsoft Windows 7® Operating system and an integrated multimedia platform that uses WiFi 802.11b/g connection and Bluetooth 2.1 for extremely fast computing anywhere, anytime.

They require faster computing speed and better scalability for power flow calculations to support unit dispatch.

The fast computing time for individual model allows us to carry out more than one thousand Monte Carlo simulations easily for each 2D profile.

HFCC combines a relatively fast computing algorithm for genome-wide epistasis detection, with the flexibility to test a variety of different epistatic models in multi-locus combinations.

One more fast computing Back Proportion algorithm is used for train the network in this work.

It is based on the uniform convergence away from nodal surfaces and can produce a simple and fast algorithm for computing the eigenvalues with minimal computational requirements, instead of using the ubiquitous Rayleigh quotient of finite linear algebra.