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These results lead to simple and intuitive approximation formulae, which may be used e.g. to assess the contribution of particular habitat patches to the metapopulation capacity of the landscape.
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Simple and intuitive approximations for many quantities of interest are obtained in limiting cases, such as weak migration, weak selection, weak or strong recombination.
Some of these typically empirically motivated or just intuitive approximations, especially neglected statistical dependencies, become obvious from a Bayesian network, as shown in Figs. 4 and 7.
This results in intuitive approximations for the variability in bed demand and for blocking probabilities.
An intuitive first approximation of their respective functions is to treat Partaking as a relation between material particulars and Forms, the result of which is that the particular is characterized by the Form of which it partakes.
The intuitive idea was this.
Nevertheless, to a first approximation, intuitive cognition can be thought of as perception, whereas abstractive cognition is closer to imagination or remembering.
It is encouraging for our method, that an approach designed for a string description can predict, where appropriate, the absence of string formation within an intuitive and simple approximation.
Just by adjusting the control points iteratively, progressive-iterative approximation presents an intuitive and straightforward way to fit data points.
Furthermore the presented approximation is a very intuitive way to generate the sample path of a Feller processes.
There are two intuitive ways to understand why our approximation of first order decay works well.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com