Does composite algorithm work with Sundials? I get an error

New to Julia
#1

I am trying to solve a set of differential equations and I want to change the algorithm at a certain point in time. I could do it between Tsit5 and Vern7 as described in Julia documentation (commented line in the code below works). But when I try to run it with two Sundial algorithms I get an error that says:

ERROR: LoadError: MethodError: no method matching qmin_default(::ARKODE{:Newton, :Dense, :Dense, Sundials.Explicit, Nothing, Int32, Nothing, Nothing})

Is there a workaround for this error, or is it not possible to use composite algorithms when working with Sundial?

reltolp=1e-10
abstolp=1e-10

function choice_function(integrator)
    choice = (Int(integrator.t>1e-8) + 1)
    if(choice == 2)
        reltolp=1e-6
        abstolp=1e-6
    end
    return choice
end
#alg_switch = CompositeAlgorithm((Tsit5(),Vern7()),choice_function)
alg_switch = CompositeAlgorithm((ARKODE(Sundials.Explicit(),etable = Sundials.DORMAND_PRINCE_7_4_5),CVODE_Adams(linear_solver=:GMRES,krylov_dim=10)),choice_function)
sol = solve(prob,alg_switch,reltol=reltolp,abstol=abstolp,saveat=1e-8)
#2

Does composite algorithm work with Sundials?

It does not. The documentation mentions it’s part of the OrdinaryDiffEq.jl set of methods.

#3

Sorry, I did not know that. Thanks for the prompt reply.