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But they decay rapidly for larger m.
The efficiency of the RSD algorithm increases for larger m.
Fig. 7 The jump in the specific spin ( varDelta {s}_zequiv {s}_z^Dleft(rho ={1}_right -{s}_z^Mleft(rho ={1}_right -{sacross the metal-dielectric interface as m is increased a for smaller m's and b for larger m's.
Similar(57)
which approaches 1 for large m.
The proof for large m follows from essentially algebraic considerations.
The running time of the program demonstrates its effectiveness, especially for large M.
Therefore, criterion 2 would not be appropriate for large M in terms of the reliability.
The gap increases for large M when more different DoA measurements (hence more weights) are available.
Therefore, for large M (and thus N), the inverse covariance matrix can be approximated as (62).
The approximate SE and EE are very close to the real values for large M, for example, M=500.
From Lemma 4, for large m, M, and v, we have the approximations (x_{m} approxfrac{sqrt{12}-4}{2m} approxfrac{sqrt{12}-4}{2m}{12}-4}{2M}).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com