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Exact(60)
Let be the map defined in the previous theorem.
where stands for the latency associated to the individual sensor as defined in the previous section.
To shorten, we use the notations defined in the previous section.
The lemma refers back to the function H defined in the previous section.
In summary, the fractional derivatives defined in the previous papers have many drawbacks.
Now, we go back to the CML algorithm defined in the previous Section.
The curvilinear path defined in the previous subsection is the trajectory of the particle.
Let (alpha_{1}), (alpha_{k}) and β be the functions defined in the previous proposition.
Let K be the 281×281 kernel as defined in the previous Section.
where H is the Shannon index of the distributions, as defined in the previous subsection.
It is observed that the algorithm converges to the optimal solution defined in the previous paragraph.
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