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Reichenbach argues that his procedure ensures more efficient convergence than does naïve application of the straight rule alone.
It is demonstrated that more efficient convergence of the identification process is attained closer to the bending-to-shear transition range of the layered structure.
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This is expressed as more efficient and faster convergence in those processing streams and provides a nice metaphor for attention.
It is revealed by [32] that sinc methods give a much better rate of convergence and more efficient results than classical polynomial methods in the presence of singularities.
Selection of better proposal distributions that will lead to faster convergence, thus more efficient implementation of the algorithm will be a focus of our future study.
Compared with conventional optimisation approaches, soft computing techniques often have a faster convergence speed and are more efficient for global optimum searches.
The proposed algorithms greatly improve the convergence rate and have a more efficient memory utilization.
Meanwhile, a more efficient sampling strategy is adopted to promote the too slow convergence of the basic LCA.
It is shown that the convergence rate increases, indicating the solver would be more efficient, as the total levels increases.
The analytical procedure is found to be much more efficient than that involved in the traditional superposition method and good convergence is encountered.
The consensus representation is more efficient in searching for new instances, and may lead to faster convergence, while the PWM is more powerful in representing weaker motifs and is more accurate in evaluating the motif quality.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com