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Weighted Generalized SVD?

I'm looking at the Generalized SVD Decomposition vi, and it appears to be for the 'Higher order version' listed at https://en.wikipedia.org/wiki/Generalized_singular_value_decomposition

 

I'd be more interested in the Weighted version listed there (assuming that does what I think it does), but it appears we don't have that. It looks like I'll have to fake it by feeding in a variable number of copies of the vectors.

 

Or does anyone know of another way to accomplish that? Perhaps there's some way of pre-treating the matrices fed into the generalized form that accomplishes that goal?

 

I recognize this may be more of a linear algebra question than a LabView question, but I thought it'd be worth asking.

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I'm almost sure you can obtain a more precise answer posting this question to the LabVIEW forum: you have landed to the LabWindows/CVI board! 😉



Proud to use LW/CVI from 3.1 on.

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yes, I have no idea how that happened and already contacted a moderator to have the thread moved.

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