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In this paper, a new particle tracing scheme is proposed, in which we introduce the concept of variable time steps.
In order to handle cycles of variable time lengths, a better idea is to normalize, i.e. use relative frequencies.
We divide pairwise and BAN time in a number of variable time periods and, where complying and complying, respectively.
We present the inner workings of the CFD algorithm, the incorporation of solid barriers, and the adoption of variable time steps within the context of biomechanical simulations.
In the present paper a simple node architecture model has been developed to simulate the node throughput based on media access control protocols for bursty data traffic of variable time slot duration and data rate.
LANDIS-II is distinguished by the inclusion of variable time steps for different ecological processes; our use of a rigorous development and testing process used by software engineers; and an emphasis on collaborative features including a flexible, open architecture.
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Fig. 6 Frequency of the length of the variable time window.
Figure 6 shows the frequency of the lengths of the variable time window for the dataset described above.
On termination of the while-loop, we pass the value of the variable time from ContDetApprox to sWindow and set τ j to the value of time.
Long-term trends were modelled using NCS of the variable time allowing 1 df for every 5-years of data.
However, there were some discrepant results depending on the parameterisation of the variable time.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com