using Arpack
include("p_space.jl")

target = 4.0766890719636875 - 0.012758927741074495im

Λ = 0
m = 1.0
V_of_r(r) =  2 * exp(-(r-3)^2 / (1.5)^2)

vertices = [0, 2 - 0.2im, 3, 4]
subdivisions = [15, 10, 10]
jmax = 4

E_max = 40
μω_global = 0.5

H, _ = get_3b_H_matrix(jacobi, V_of_r, vertices, subdivisions, jmax, μω_global, E_max, Λ, m)

@time "Eigenvalues" evals, _ = eigs(H, sigma=target, maxiter=5000, tol=1e-5, ritzvec=false, check=1)
display(evals)