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One main approximation approach to a discrete analog of the time-fractional derivative is an (L_{1}) formula.
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One main one and one backup.
First, according to the PUM theorem in the energy norm [24, 25], we give the main approximation result about the relation between global approximation and local approximation.
The introduction of the Markov assumption is the main approximation in n-gram models.
The main approximation is the supercell size, in particular relating to the long-range order of the methylammonium ions.
Two main approximations are still implicitly required: the combinatorial conformer assumption and the template alignment assumption.
Each data sample is randomly assigned to one lower approximation.
We need one additional approximation to make further progress.
One approximation that is commonly used for the logistic score (Wu et al., 2011) is derived from the Laplace approximation to the quasi likelihood (Breslow and Clayton, 1993).
One approximation would be to include only the variants with functional effects.
One other strong approximation of the model is the absence of mutations or selection.
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