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The second problem occurs when the mode identi ed by the maximization algorithm is at the bottom of a valley instead of the top of a hill [g( |y) is zero in both cases], in which case the curvature will be positive (This is unlikely in one dimension, except for seriously defective maximization algorithms, but the corresponding problem in high-dimensional cases of saddlepoints, where the top of the hill for some parameters may be the bottom for others, is more common) The dif culty here is that 1/H exists, but it is negative (or in other words, is not positive de nite), which obviously makes no sense as a variance A multidimensional variance matrix is composed of variances, which are the diagonal elements and must be positive, and correlations that are off-diagonal elements divided by the square root of the corresponding diagonal elements.

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Moc Reserved for future use. Mod Divides two numbers and returns the remainder. Mod(Num,Divisor) Syntax:

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Correlations must fall within the [ 1, 1] interval Although invertibility is an either/or question, it may be that information about the variance or covariances exist for some of the parameters but not for others In the multidimensional case, singularity occurs whenever the elements of H that would map to elements on the diagonal of the variance matrix, ( H) 1 , combine in such a way that the calculation cannot be completed because they would involve divisions by zero Intuitively, singularity indicates that the variances to be calculated would be (essentially) in nite When ( H) 1 exists, it is a valid variance matrix only if the result is positive de nite Observe that ( H) 1 is a positive de nite matrix if for any nonzero p 1 vector x, x ( H) 1 x > 0.

1.9 1.2 1.9 1.2 1.9

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either a mode matching procedure [1] or a MoM analysis [2]. The latter is very similar with that detailed in Section 3.6 for analyzing waveguide mode Floquet mode transitions. For the problem at hand the Floquet modes should be replaced by the larger waveguide modes. The individual GSMs are then combined to obtain the overall GSM of the flared horn. The overall GSM of the horn essentially relates the input waveguide modes to the aperture waveguide modes. In order to analyze an infinite array of such flared horns under Floquet excitation, the modal transformation between the waveguide modes and Floquet modes must be taken into account. The GSM of an aperture essentially represents such a modal transformation, which is deduced in Section 3.6. The overall GSM of a horn element in an infinite array environment is the combined GSM of the horn and the GSM of the aperture.

Nonpositive de niteness occurs in simple cases either because the variance is negative or the correlations are exactly 1 or 1..

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(14.33)

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