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?
I've noticed that the
nevandnsvarguments are capped at<nrather than<=nifnis the smaller of the dimensionsn&mof 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-1rank approximation. Is this possible with arpack?