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scipy.sparse.linalg._eigen.arpack.arpack.ArpackError: ARPACK error -9999: Could not build an Arnoldi factorization. IPARAM(5) returns the size of the current Arnoldi factorization. The user is advised to check that enough workspace and array storage has been allocated.
the same problem used to work well with slepc
The text was updated successfully, but these errors were encountered:
I think this problems should be solved in the newest version. The automatic guess for n_eff was in some cases too far off and gave scipy problems @simbilod could you confirm this is fixed also for your case?
The new scipy backend fails with
scipy.sparse.linalg._eigen.arpack.arpack.ArpackError: ARPACK error -9999: Could not build an Arnoldi factorization. IPARAM(5) returns the size of the current Arnoldi factorization. The user is advised to check that enough workspace and array storage has been allocated.
the same problem used to work well with slepc
The text was updated successfully, but these errors were encountered: