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General advice is given for the choice of the best solution method depending on the values of the problem parameters.
Section 5 shows the results of the numerical example associated with the sample values of the problem.
Numerical results are presented and discussed for the critical velocity and stress distribution for various values of the problem parameters.
Numerical results are presented and discussed for the critical velocity, displacement and stress distribution for various values of the problem parameters.
Starting from the values of the problem ((textit{KP})) in (4.2) we can define a set of distances over (mathcal {P}(X)).
The velocity profiles of the fluid in the microchannel, the temperature distributions of the solid and fluid phases, and the overall Nusselt number are illustrated for various values of the problem parameters.
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It is assumed that o p t ∗ is the optimal value of the problem ((mathcal {SP}1)).
We must keep it reasonably small, provided that we want to closely approximate the exact value of the problem.
It is obvious that the optimal function value of problem (4) is not smaller than the optimal function value of the problem min x, y, λ { C 1 T x + C 2 T y : ( x, y, λ ) ∈ T }. (6).
We introduce an upper bound of an optimal value of the problem and develop three heuristic algorithms based on the structural properties of the profit and ROI functions.
end{aligned} Then (u_{0}) is the unique initial value of the problem (2.1) in E, which satisfies (u(0)=u_{0}=u omega)).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com