Discussion on "Why I no longer recommend Julia" by Yuri Vishnevsky

[ChrisRackauckas]

@Bruno_Amorim

Should the student use ARPACK.jl, ArnoldiMethod.jl or KrylovKit.jl? What if we want inner eigenvalues? Well ARPACK.jl has shift-and-inverse but ARPACK.jl is also very fragile and prone to throw cryptic error messages. So ArnoldiMethod.jl or KrylovKit.jl it is. Except those have no shift-and-inverse implemented. So the student as to role its own. So what was a very simple task (calculating a few eigenvalues) becomes a lesson in numerical linear algebra. While I am going through this, the student has probably lost interest in this wonderful language and already solved the problem in python.

LinearSolve needs to be extended to have EigenvalueProblem, can you open an issue on this?

Then we also probably need to pick up the helm on multi-dimensional interpolations.

Other than that, docs.sciml.ai should have rather good coverage.