Generalized Schur Decomposition with sparse matrices?

New to Julia
1

Hey guys,

so I’m trying to use generalized schur decomposition, but with large sparse matrices.

I know I can use schurfact(A,B) in the LinearAlgebra package, but it seems that it does not allow for sparse matrices.

I found qr function that does QR decomposition in SuiteSparse.jl, but I was wondering if anybody knew of QZ decompositions?

I am completely fine by using the one in the LinearAlgebra package, but I was just curious!

Thanks!

2

There is Schur factorization in KrylovKit.jl, not the generalized one though.