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Figure 5 shows how the reconstruction accuracy behaves as a function of noise level.
Figure 10 shows how throughput behaves as a function of number of users in a network defined by Figure 3(b), with one channel and.
Computer scientists classify computational problems according to the way their cost function behaves as a function of their input size, \(n\) (the number of bits required to store the input) and in particular, whether it increases exponentially or polynomially with \(n\).
It provides a nice indication how the period behaves as a function of the parameters.
A model is a family of functions f(t : θ) that for each choice of parameters θ (in a space of legal parameters Θ) determines how the expression behaves as a function of t (time).
However, in the case of the method introduced in Gutenkunst et al. (2009) there is not a general theory that allows us to predict how the numerical error behaves as a function of the parameter space.
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Our data show that the intron 1 NOS behaves as a classical silencer element in that it can function in a distance and orientation independent manner.
In this section, we investigate how the optimal frame size and termination time roughly behave as a function of tag number N and confidence level α, in the asymptotic regime (i.e., for large N), as the formulas (8) and (10) are somewhat complicated.
My view is that we all behave however we behave as a function of how we observe our world.
Therefore it is enough to show how correlations based on sum scores behave as a function of number of items and beta parameters.
We will now show that this function behaves as a delta function as (mathit {Sh}rightarrowinfty), i.e. that, begin{aligned}& int^{infty}_{0} f(x),dxto1quad mbox{as } mathit {Sh}to infty, end{aligned} (37) begin{aligned}& f(0) quad mbox{is finite } mbox{as } mathit {Sh}toinfty, end{aligned} (38) begin{aligned}& f(x) to0 quad mbox{for all fixed } x > 0, mbox{ as } mathit {Sh}toinfty.
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moves as a function
responds as a function
reacts as a function
behaves as a client
behaves as a metalloid
behaves as a phototransistor
behaves as a type
behaves as a chelating
behaves as a semiconductor
behaves as a price-taker
behaves as a macro-mobility
behaves as a biennial
behaves as a superfluid
behaves as a base
behaves as a survival
behaves as a point
behaves as a recycle
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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