For this purpose, fortunately, the cosmological evolution of model universes is especially simple and amenable to computation at redshifts much larger than 10,000 (or temperatures substantially above 30,000 K) because the physical properties of the dominant component, photons, then are completely known.
Although statistical thermodynamics would in principle provide the necessary equations to calculate free energies of binding from molecular properties, these equations are not readily amenable to computation since appropriate ensembles of the solvated systems must be generated and thoroughly sampled, which normally requires prohibitively long computing times.
The Phenoscape project aims to represent these complex and detailed descriptions with rich and formal semantics that are amenable to computation and integration with phenotype data from other fields of biology.
As site-independent evolutionary models are readily amenable to computation, we expect these results to be widely applicable in the context of the reconstruction of evolutionary histories.
These models are amenable to computational analysis.
This approach is amenable to concurrent computations.
For the simulation of the full network, we follow [12] to make the connectivity amenable to fast computations, e.g. using FFTs.
Moreover, the algorithm is amenable to parallel computation using general purpose graphics processing units (GPGPUs).
For an application to be amenable to distributed computation, it must be possible to have its work partitioned in multiple tasks that run separately.
More amenable to parallel computation, they are much faster than the nearest neighbor classifier (NN), which, however, has distinctly outperformed them in several applications.
