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In this section, we assume that the time of simulation is 12 h, the time to live (TTL) of data is 12 min and the data generating interval follows exponential distribution within the range of 50 100 s.
In this section, we assume that the time of simulation is 12 h, the number of users is 78, and the data generating interval also follows exponential distribution within the range of 50 100 s.
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The existence of a system of generating intervals is well known.
We claim that the system ({J_{i}}_{iinmathbb{N}}) is a system of generating intervals.
Then there exists a system ({J_{i}}_{igeq0}) of generating intervals such that, for any (igeq0), (lim_{leftarrow}{f^{2^{i}}|_{J_{i}},J_{i}}) is a compactification of a topological ray.
We shall show that there exists a system ({J_{i}}_{igeq0}) of generating intervals such that, for any (igeq0), each (f^{2^{i}}|_{J_{i}}) satisfies assumptions of Theorem 8.
There are challenges in generating intervals at the unit level.
The print thread prints out the generated interval, and the min, max and current value of the captured interval.
By introducing an auxiliary constraint, a logarithmic least square model is established to generate interval multiplicative weights from acceptable IMCMs.
The two interval variants are the unbound generated interval (UBGInt) and the bound generated interval (BGInt).
If the generated interval was longer than the maximum allowed time for the epoch (tmax), the interval was resampled to ensure it was less than tmax.
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