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In the absence of explicit theory, most approaches continue to incorporate one or more simplifying assumptions to achieve numerical solutions.
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Thus, also responses evoked by natural contrast modulations which are clearly different from white noise [14] can be analyzed in this way; an approximation of the Shannon information capacity for such stimuli would require much more data since the simplifying assumptions of Gaussian distribution and coding linearity do not hold for natural stimuli.
Much research in population genetics consists in devising more realistic evolutionary models, which rely on fewer simplifying assumptions and are thus more complicated.
An expression for V * is more difficult to obtain without simplifying assumptions.
Majority of the models we have encountered till now consider the CF as a symmetrical cylinder which is more of a simplifying assumption [91, 92].
We will start with some simplifying assumptions before considering more general cases.
However, in the absence of studies revealing the degrees of genetic interactions and genetic correlations between these two traits, we feel that the case of no interactions and free recombination provides a basis on which to develop further work examining the effects of relaxing these simplifying assumptions by investigating more complicated genetic settings.
Any model of a geological process has to make simplifying assumptions to be tractable, and simplified models have the benefit of being easier to interpret than more complex models, which attempt to include many possible effects.
The biggest advantage of this approach is that the utility targeting results are more accurate than those of methods that adopt such simplifying assumptions.
More generally, fitted parameter values are subject to numerous simplifying assumptions of the models.
The model employs simplifying assumptions that rely on insights from more complex natural history models [ 16, 17].
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