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The optimal step size for f RS depends on the satellite signal strength distribution.
Thus, the optimal step size is now {mu}_{mathrm{opt}}=frac{1}{R{left|hright|}^2}.
The optimal step size for the FxLMS algorithm lies in the middle of stability interval [43, 44].
Thus, the optimal step size for the MFxLMS algorithm in a noiseless channel is given in Eq. (18).
The optimal step size in the algorithm such that the convergence rate of the algorithm is maximized is given explicitly.
A new iterate is obtained by searching the optimal step size along a new descent direction which is obtained by the linear combination of two descent directions.
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the optimal step-size, causing fastest convergence.
The optimal step-size is obtained by minimizing the MSD at each iteration.
Within a continuous-time framework with bankruptcy costs and tax benefits, we analyze the optimal step-up bond design with respect to both frictions.
In other words, to find the optimal step-size μ o (n +1) is equivalent to finding the largest gradient descend from the n-th iteration to the (n +1 -th iteration.
In order to find the optimal step-size μ o (n +1), empirical parameter ρ is used to make a fair comparison with the traditional method in Equation 6.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com