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If SetJPDA was not considered for comparison, then BRJPDA seemed to be the best anti-coalescing method.
The performance improvements of all the anti-coalescing methods compared with JPDA seemed almost the same in scenario 2. Therefore, when p coalescing was used, the simulation results showed that BRJPDA could outperform all the other anti-coalescing methods.
And all the anti-coalescing methods except for the SetJPDA had almost the same computation complexity.
The results in Figure 7a showed that SetJPDA significantly outperformed the other three anti-coalescing methods.
And BRJPDA had the best performance during all the anti-coalescing methods.
For the results in Figure 7b, all the anti-coalescing methods appeared to have almost the same performance.
Figure 6 showed that the p success performance of all the anti-coalescing methods was worse than that of JPDA.
Figure 9 showed that the SetJPDA had a rather bad performance in computation complexity when compared with the other anti-coalescing methods.
In this paper, a new method for coalescing particles in PIC codes is proposed.
That means this technology is far from coalescing around a standard method of production the way microprocessors have–whether made by Intel or AMD, processors are all made on silicon wafers of a standard size.
Expert elicitation, a method of coalescing knowledge and combining judgements (Runge et al. 2011) is often used where data is expensive, limited or unreliable, such as environmental health management, nuclear waste production and its management, and emerging energy production technology (Knol et al. 2010; Anadón et al. 2012).
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