A domain decomposition scheme is devised to restrict the computational domain of each grain to few grid points around the grain.
To restrict the computational effort in grid refinement needed for the resolution of the turbulent air streams we consider alternatively a stochastic k-ω turbulence model.
In contrast to other methods designed to detect only pair-wise interaction, BHIT does not restrict the computational models to two-order dependencies, and dependencies in different orders could be uniformly chosen by adopting larger likelihood following using a MCMC search.
The known alternative is the numerical integration of the agglomerate AC problem, which increases significantly the computational time and restricts the application to simple models.
However, high computational cost restricts the molecular simulations to their applications to nanoscale systems and time scales below microseconds.
This limitation largely restricts the prediction ability of current computational PPI algorithms.
Such calculations are feasible only for small model chemistries and are severely restricted by the computational cost associated with the study of larger molecules.
Despite providing very accurate estimates, the low abstraction level adopted by current approaches demands an enormous computational effort, which restricts the applicability for large codes.
This restricts the reasonable transitions into state z20 to be z19, which simplifies analysis for both biologists and computational biologists.
Restricting the term "computation" to input-output description does not capture standard computational practice.
