Krylov based lanczos etc for sparse matrices

I found Home · KrylovKit.jl and it points to KrylovMethods.jl/ at master · JuliaInv/KrylovMethods.jl · GitHub for sparse matrices.

However I don’t find any documentation. How can i use it?
Does it support complex sparse matrices?

Eigenvalue problems · KrylovKit.jl has examples.

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Thanks. I didn’t understand well the meaning of abstract matrix (quite new to Julia syntax) and didn’t read well enough to notice that it’s for both sparse and dense.