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Our fixed-time synchronization results contain the finite-time results as the special cases by choosing different values of the two controllers.
Finally, by choosing different values for the input power, gear ratio and hardness of gears the practical graphs from the results of the optimization are presented.
One can mimic the variability in this sensitivity among cells by choosing different values of η j.
Now we illustrate the obtained results by choosing different values of (f t,x t),^{c}D^{3/4}x t), I^{1/2}x t))).
end{aligned} Since the upper bound of (sum_{n=1}^{m}n^{alpha r-alpha q-1}) is different by choosing different values of q, we consider the following three cases.
In this section, we show how to mimic the variability of the quantitative features of calcium patterns between different cells by choosing different values for parameters of special importance: μ and k.
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By choosing different value of the parameter, we get the estimates in different forms.
Finally, by choosing different value of ω 0, we can get enough uniformly sampled points of the original signal spectrum.
Effects of choosing different values for α on the response of the system is studied analytically.
For choosing different values of λ, β, σ, and γ in Theorem 2.1, we obtain the following results discussed by Noor [10, 11] and Noor et al. [14].
Thus, different CSSNs can be created by choosing different threshold values based on varying requirements.
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by choosing suitable values
by choosing different abilities
by choosing different things
by choosing possible values
by choosing intermediate values
by testing different values
by choosing different words
by choosing different options
by choosing τ values
by choosing different solvents
by choosing different diols
by choosing proper values
by choosing effective values
by simulating different values
by choosing different pathways
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