Registered Member
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I have a feeling this is going to seem very newbie, so here goes. I have 2 questions, the first of which is pretty straightforward and is the more important of the two.
1. Looking at this tutorial getting eigenvalues it seems simple enough. It says to choose your eigendecomposition of which I chose Jacobi SVD However when I visit that page it talks about returning the thinU and thinV matrices. I dont know much about the Jacobi method so I want to know is it possible to use the Jacobi SVD to return a matrix of eigen values and eigen vectors? Im confused by the example provided which doesnt seem to make any mention of this. 2. When I ran the example on that page I got loads of errors (I have not had this problem with other simpler examples with Eigen). Any idea what fundamental error is being made?
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Registered Member
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In case you have not found out yet, or otherwise for future readers: JacobiSVD cannot compute eigenvalues, it only computes singular values. Perhaps we should split it in separate tables, one for eigendecompositions and one for singular value decompositions. |
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