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The success rates also depend on the ensemble sizes of generated conformations (Table 3).
Second, the accuracies also depend on the ensemble sizes of generated peptide conformations.
The sizes of generated DNA fragments were determined using an Applied Biosystems 3130 Genetic Analyser (Applied Biosystems, Stafford, USA) (POP 7 matrix, capillary size: 50 cm) with the following parameters: injection voltage, 3.0 kV; injection duration, 12 s; run voltage, 8.5 kV; run time at 60 °C, 5500 s.
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Because of computational limitations in relation to the large size of generated files, we re-sampled trees and parameters every 10,000 or 15,000 generations [see Additional file 1].
The success rate also has a non-linear relationship with the ensemble size of generated conformations.
As the population grows, the size of generated data also rapidly grows and can become massive.
To analyze the effects of laser parameters on the size of generated nanostructures, a study was performed on the size distribution of agglomerated particles in these structures.
The particle size distribution of the debris was worked out to define a fragmentation index and a probability density function of the size of generated fragments.
In the scheme, the size of generated shadow images is only 1/r of that of the original image, which is advantageous in subsequent storage and transmission.
Moreover, in order to reduce the computation time and increase tractability of the problem, the size of generated scenarios are modified by Kantorovich distance method [39].
This limits the size of generated samples and reduces the number of distinct objects, making it possible for specialists to quantify them.
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