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using OrdinaryDiffEqBDF, ProfileCanvas
f(du, u, p, t) = du .= 0.0
prob = ODEProblem(f, ones(10), (0.0, 1.0))
@profview sol = solve(prob, QNDF(); adaptive = false, dt = 1e-6, save_everystep = false)
As highlighted in the flamegraph, this spends a lot of time rationalizing a float here:
| nlsolver.γ = β₀ |
This is not supposed to happen? It does not happen with FBDF.