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To understand why the dominant sub-network is sparser when the aperture distribution is broader, we examine one randomly selected realization for each value of α in detail.
Figure 18 presents the aperture distribution of the original fracture network and that of the dominant sub-network for one realization for each value of σ.
We run 100 numerical simulations with different random realization for each value of the fraction ϕ.
Because segregation over chromosomes is independent, the total log likelihood ratio is obtained by summing contributions to the log likelihood ratio from different chromosomes, using probabilities appropriate to the map length and realization for each chromosome.
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An E-type is generated using 10 FILTERSIM realizations for each case of simulations.
The statistical variations of the results are studied by simulating multiple realizations for each experiment using different starting random numbers.
The results, presented in Figure 14, have been obtained for 1000 various codebook realizations for each codebook size.
Results are obtained by simulating 100 UE drops and T=200 block channel realizations for each UE drop.
Distributions are compared to those obtained from a randomized version of the contact networks (1,000 realizations for each null model).
A Monte Carlo analysis with 1000 realizations for each limit state was performed using the FEMA P-58 procedure.
Seventy-two PVS were checked corresponding to six different packet loss rate, two different channel realizations for each PLR, for each of the six source sequences.
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