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If (A) is interpreted using this second notion of simulation, then (A) is true only if we do not care how close our computational approximations are.
If we want close computational approximations — as we usually do — then (A) turns into the claim that any physical process can be computationally approximated to the degree of accuracy that is desired in any given case.
The finite-difference time-domain (FDTD) [1] method for electromagnetic simulation is today one of the most efficient computational approximations to the Maxwell equations.
The main intrinsic properties that determine protein aggregation have been defined and different computational approximations [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20] have exploited them to predict with reasonable accuracy the regions of proteins with the highest aggregation propensity, also called hot spots, as well as the overall protein aggregation propensity.
The computational approximations that are made must come at some cost and as researchers we need to know this cost.
As in the HapMap 3 cross-validations, we split the chromosomes into non-overlapping 5-Mb regions to speed up the analysis and support IMPUTE2's computational approximations.
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Results of computational approximation of the model are also shown and compared to the asymptotics.
The models cover several levels of computational approximation and include in increasing order of computational demand: a mass-consistent empirical-diagnostic code, a Reynolds-averaged Navier Stokes (RANS) computational fluid dynamics (CFD) model, and a Large Eddy Simulation (LES) CFD code.
Subsequently this value was made more precise by computational approximation.
In this work, we use a computational approximation of distance cut-off to define binding classification instead.
The general principle behind approximation error modelling is to examine the difference between an 'exact' model A x) and its computational approximation A h(x h).
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