Asked by Alberto Navarro
on 9 Jul 2013

I thought this would be fairly simple. I thought the diag function should be able to do this task. I have a 14x14x1045 matrix Ht, t=1,...,1045 simbolizes the number of observations. I merely want to extract the main daigonals of Ht for all t and store them in a new 3d matrix Dt which is also 14x14x1045 which contains the diagonal elements of every Ht and zeros in all other positions. However, when using the function diag(Ht) I get the following error: Error using diag First input must be 2D.

Is there a function that works like diag but for 3d matrices? I have no experience programing any functions. Could someone please provide a simple loop to make a function that fulfills this task in case no such function exists already?

I´m sorry if this question is too trivial, but I haven´t been able to find a specific answer and I seem not to be able to program such a function with my expertise level...

Thanks a lot for your help!

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Answer by Matt J
on 9 Jul 2013

Edited by Matt J
on 9 Jul 2013

Accepted answer

D=bsxfun(@times, eye(size(H(:,:,1))), H)

Matt J
on 9 Jul 2013

You could also use ndSparse (Available Here) to improve memory efficiency,

D=bsxfun(@times, ndSparse(speye(size(H(:,:,1)))), H);

Alberto Navarro
on 9 Jul 2013

Great! Thanks a lot for the super fast and efficient answer!

Best regards!

Answer by Kiran Sagar
on 9 Jul 2013

I think this would work elegantly. But I don't know if this would take up alot of time/memory for your purposes.

for i=1:1045 Dt(:,:,i)=diag(diag(Ht(:,:,i))); end

Alberto Navarro
on 9 Jul 2013

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