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The results, which were obtained at a fraction of computational expense, benchmarked very well against the exact solutions for a polymer with a broad size distribution at different Degrees of Polymerization up to ~O(105).
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We used some very well known benchmarks for STEGS to evaluate our approach.
Thus, our predicted complexes match very well with benchmark complexes.
I feel, however, that the paper's focus on benchmarking leaves several more substantive questions not very well answered.
The results show that the proposed technique works very well on those benchmark problems.
Generally our sampling and modeling techniques work very well; our annual benchmark adjustments, which are designed in part to capture fuller information on births and deaths that isnt immediately available, have been quite small (0.2% or less) in recent years.
As such, it is calculated independently for each length, L. (3) M = 20 L (W + 1 ) L − 1 > Although SLiMChance is a heuristic estimation of significance (due to the underlying assumptions of independence) it performs very well on both benchmarking data (Edwards et al., 2007) and real interaction data (Edwards et al., 2012).
The predicted results agreed with the benchmark mode I fatigue crack growth experiments very well.
Recent work indicates that some algorithms perform very well on the LFR benchmark [25].
Our benchmark is the Russell 1000 Value Index, and weve done very well over the past one-, three-, five- and ten-year periods.
In the first two-thirds, however, the sentiment strategy is much less volatile than the other strategies and performs very well during the dotcom bubble, during which all the benchmarks show a clear downward trend.
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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