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Its performance was similar to that of SIMWALK2 [ 35] in terms of accuracy, but with a much lower computing time.
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In the Methods, we explain the relationship between our method and previous ones, providing some upper and lower compute time bounds for our methods.
It is important to analyze and characterize the data processing performance for a given cloud cluster and to evaluate the performance bottlenecks in a cloud cluster that contribute to higher or lower computing processing time.
One can lower the variance threshold to expand the search space if longer computing time can be tolerated.
To reduce the degrees of freedom and thereby lower the required computing time, two simplifications are made.
The simple case demonstrates that our proposed Lagrangian relaxation framework can obtain the approximate optimal solution with a small-gap lower bound and a lot of computing time saved compared with CPLEX solver.
We will apply the full Fokker Planck equation to solve our estimation problem, since the computing time is always lower than 2 seconds for a sample size of 1000 spikes.
Moreover, the computing time was markedly lower than with Beagle.
One of the primary reasons we focused on what might be considered lower bounds of the number of groups is the computing time required per analysis.
To avoid explosion of computing time, this parameter needs to be lower than the number of trajectories (rather than equal to).The statsdist_cluster_threshold parameter corresponds to the threshold for constructing the clusters of stationary distribution estimates.
The computing time of the proposed algorithm is much lower than that of the optimal solution.
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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