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We offer a simple heuristic argument to explain our results.
A possibility of predicting the chaotic diffusion of trajectories based on a heuristic argument of a near-tangency of stable and unstable limit cycles of Duffing-Holmes' oscillator is also discussed.
This result seems in line with the heuristic argument commonly invoked to explain the prevalence of the marginal-rate progressivity, that is, the number of relatively poor (self-interest) voters exceeds that of richer ones.
An heuristic argument commonly invoked to explain this stylized fact resides in the observation that in general, the number of relatively poor (self-interest) voters exceeds that of richer ones.
Another important difference is that although the EVS update rule may produce better results in some cases, it is built on the heuristic argument that the reconstruction error should be smaller than the standard deviation in the filtered region.
In this case, the heuristic argument derives from the observation that if \ \textbf{NC} = \textbf{P}\), then it would be the case that every problem \(X\) possessing a \(O(n^{k_1})\) sequential algorithm could be 'sped up' in the sense of admitting a parallel algorithm which requires only time \(O(\log^c(n))\) using \(O(n^{k_2})\) processors.
Similar(39)
Both rigorous and heuristic arguments for parameter choices are presented.
Heuristic arguments show that (24) is a natural expression.
Here, we extend such heuristic arguments by providing a clear mathematical definition of the proportionality constant.
We provide a rigorous (that is, independent of heuristic arguments) analysis of its error and cost.
They do not avoid heuristic arguments, and are often checked for efficiency by numerical experiments.
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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