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Is it possible to get the complete thin SVD? #148

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BenjaminDoran opened this issue Jan 9, 2023 · 0 comments
Open

Is it possible to get the complete thin SVD? #148

BenjaminDoran opened this issue Jan 9, 2023 · 0 comments

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@BenjaminDoran
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I've noticed that the nev and nsv arguments are capped at <n rather than <=n if n is the smaller of the dimensions n & m of the matrix.

I am working with some maximum entropy models on sparse matrices, and it would nice to work with the complete thin SVD, rather than the n-1 rank approximation. Is this possible with arpack?
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@BenjaminDoran