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This algorithm uses only integer-based sum operators and avoids floating-point and multiplication operators.
In applying this version, we come up with some results regarding the oscillating multipliers, partial sum operators and generalized Bessel potentials.
Because batteries have specific behaviours [47], we cannot model the total node autonomy with basic sum operators.
Moreover, some essential lemmas about the commutativity of the different fractional sum operators with the usual difference operators are established.
Also, we consider the associated GBS (generalized Boolean sum) operators and estimate the rate of convergence for these operators with the help of a mixed modulus of smoothness.
Lastly, we consider the associated GBS (generalized Boolean sum) operators and study the approximation of Bögel continuous and Bögel differentiable functions by means of the mixed modulus of smoothness.
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The fuzzy technique used the fuzzy algebraic product operator, fuzzy algebraic sum operator, and fuzzy gamma operator.
Then they defined the fractional sum operator (nabla^{-alpha}) and the fractional difference operator (nabla^{alpha}).
In [15], the sum operator equation (A x,x +Bx=x) has been considered.
The technique relies on two fixed point theorems of a sum operator.
A strong convergence theorem for zero points of the sum operator is established.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com