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Different results in SVD by using Igor and LabVIEW

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Hi NI Community,

 

I try to solve a specific issue. However, I am out of ideas and I am convinced that I find here the necessary help Smiley Happy

 

At the moment I am going to translate an algorithm from IGOR to LabVIEW for technical reasons.

In the IGOR source code there is a function called "MatrixSVD". This function is also available in LabVIEW.
Regretly, after putting a six by six matrix into these functions I receive different values for the U, VT vector as well as the S vector in IGOR and LabVIEW respectivly (see attachment)

Just the first column of the U matrix and the first row of the VT vector are the same as in IGOR.
Did you had some ideas why it happens to such a behaviour?

Thanks in advance

 

Regards

D-Kid

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Solution
Accepted by topic author D-Kid
03-12-2018 12:51 AM

Problem solved:

 

the main problem was that the input matrix has to be transposed. A fact which I did not thought about.

After doing this the SVD results into the same values as IGOR does.

Message 2 of 2
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