Therefore, a Fisher index (I) was calculated for each stand-wise simulation obtained using the following equation: I=frac{s_n^2}{overset{n}}, (2 where ( {s}_n^2 ) is the variance of the plot-wise numbers of aspens in the sample of 20 plots and ( overline{n} ) is the mean of the plot-wise numbers of aspens.
In this study, a step-wise simulation approach with a semi-distributed karst model is proposed to characterize a karst aquifer at a data-scarce region in Southwest Iran and to evaluate the leakage potential related to a future dam construction project at a river that cuts through the aquifer.
First, we have to speed up problems that one cannot parallelize algorithmically, like fixed-point iterations or step-wise simulations.
We show that, process-wise, simulations capture well important aspects of the response of estuarine and plume circulation to ocean, river, and atmospheric forcings.
The comparison of the experimental results with the simulation results from equilibrium stage-wise model compared and found that there is good agreement between them.
We designed a number of experiments to validate the step-wise model reduction as suggested by the structural analysis and compare the results with the numerical simulation of the original model, which is shown in Figure 6(a).
Figure 10 shows the patchy enrichment of the IGM in the simulation of Wise et al. (2012).
In the simulations of Wise and Abel (2007a), these streams reach down to about 25% of the virial radius, while they penetrate the center of the halo in Greif et al. (2008).
The Monte-Carlo simulation of Path-Wise Euler-Maruyama approximation of E[F Z1)1{τ>1}] is obtained by begin{aligned} &text{PW-EM} (n) &:= frac{1}{M} sum_{m=1}^{M} Fleft(Z^{n,m}_{1}right) 1_{{tau^{n,m} > 1 } }, end{aligned} where Z n,m stands for the m-th simulation of Z n, and tau^{n,m} = text{min} left{ t_{k} : |Z^{n,m}_{t_{k}}| leq 1 right} 4.
Here, we used a Fisher's exact test (with a Monte Carlo False Discovery Rate simulation; adjusted family-wise error rate α = 0.05) to determine the most common functions and pathways of each network.
Results and analysis for non-clustering approach: We ran simulation randomly among day wise PlanetLabs workload data for our proposed algorithms that have been discussed in earlier section.
