Exact(23)
It determines the number of summation terms in (15).
Also, note that the reciprocally convex combination approach is successfully applied on double summation terms.
Note that the summation terms in (25) converge to zero very fast.
Namely, high autoterms concentration is obtained with only a few summation terms due to the fast convergence within.
Reciprocally convex combination approach is used to handle the triple summation terms and a new type of zero inequalities is introduced.
In order to satisfy Condition B, we require that these hits be spread as uniformly as possible among the summation terms of (46).
Similar(37)
where we have exchanged indices in the second summation term.
Regarding constraint C1, we will not consider the summation term over all time instants.
where the first summation term captures lagged effects and the second captures lead effects.
Then, the first summation term is multiplied by two, as the same thing can happen for the other user.
(20) Now, expanding the summation term to the number of terms equivalent to the mask size, the fractional gradient was obtained.
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