I’m working on a problem (reduced order models of circuits) and am trying to use KrylovKit to return a specified number of eigenvalues in the solution. I couldn’t make it work, but it was easy in Arpack

x = eigs(a, nev=3)

where a is a 6x6 matrix. it returned the 3 largest eigenvalues as expected - the other 3 eigenvalues are much smaller.

however I can’t seem to find the correct way to invoke the same thing using KrylovKit, for example

x = eigsolve(a, 3)

is what i would think it should be from the documentation, but it returns all 6 eigenvalues, not the 3 largest. in fact, it should only return 1 if you don’t supply any arguments (other than the matrix), but it still returns all 6.

Here is the invocation,

```
eigsolve(A::AbstractMatrix, [x₀, howmany = 1, which = :LM, T = eltype(A)]; kwargs...)
```

I was wondering if someone could help me figure out the correct application.

I suppose this would be a good time to ask if there is any advantage in using KrlyovKit for this problem instead of Arpack.

Thank you.