I am encountering a problem with the svd solver of the KylovKit.jl package. I am trying to compute the SVD of a 90000X90000 sparse matrix, with a fraction of 2.4E-4 elements non-zero. However, the following execution using KrylovKit; K=deserialize(open( "K.dat" )); Lambda,Phi,Gamma,info = KrylovKit…

I was under the impression that it is sufficient for the krylov dimension needs to be 2L+1, where L is the number of singular values/vectors required. I will try out with the verbosity command. Can you suggest any other tried and tested package. I had earlier reported a problem / bug with the svds…

KrylovKit svd solver not running properly

New to Julia

iamsuddhasattwa September 17, 2019, 9:17pm 12

Thank you. I am having some problems with this package, which I have posted on a separate thread

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KrylovKit svd solver not running properly

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