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For each example, we demonstrate a figure of convergence.
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Figure 5 Probability of convergence within iterations.
Figure 9 Comparison of convergence rates.
Figure 7 Comparison of convergence performance for.
Figure 8 Comparison of convergence performance for different frequencies.
Figure 4 Comparison of convergence speeds for 2D and 3D algorithms.
Figure 6 Iteration of convergence of the genetic algorithm and the obtained distortion reduction in function of the threshold parameter.
Figure 7 Iteration of convergence of the genetic algorithm and the obtained distortion reduction in function of the crossover probability.
10.7554/eLife.05996.016 Figure 8. Model of convergence and divergence of the Notch/Mef2/JNK and Notch/Src/JNK signaling axes.
Third, the iteration process come to end if the figure of merit shows convergence or meets specific requirements.
Figure 8 The comparison of convergence behaviors in the random topology in Figure 7 (topology ID 3).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com