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k = number of peaks before convergence; k' = number of non-convergent peaks; c = number of shifts to convergent peaks; k'conv = number of convergent peaks; Δk = reduction in the number of peaks with convergence; c/k = the proportion of convergent peaks relative to the total number of peaks.
A non-convergent infinite series is designed to ensure the convergence of the proposed dual-based subcarrier assignment algorithm.
In the non-convergent priors setting, PCPs can be used to satisfy different, non-converging beliefs.
I shall mean by a convergent series, one that converges on a finite, positive value, and by a non-convergent series, one that increases ad infinitum.
By conditioning payment on post-closing, verifiable information, PCPs can mitigate the problems of private information or non-convergent priors.
It is shown that the maximum attainable time-derivative of convergent approximate models is two, hence any attempt to include higher orders will lead to non-convergent models.
Furthermore, this model provides a starting point for the future study of adaptive designs with non-convergent generating matrices.
However, the decoding process of the CVA is non-convergent and sub-optimal[4, 7].
Existing circular Viterbi algorithms (CVAs) on the tail-biting trellis are non-convergent and sub-optimal.
These critical issues cause numerical instabilities that yield non-convergent codes.
We give below an idea of the proof based on Struwe's decomposition of non-convergent minimizing sequences.
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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