Is this expected behavior? I see a performance difference of a factor two for very simple functions. E.g.:

using BenchmarkTools
g1 = t -> cos(t - 0.5 * t^2)
g2(t) = cos(t - 0.5 * t^2)
function h1()
x = 0.
for i in 1.:10000.
x += g1(i)
end
x
end
function h2()
x = 0.
for i in 1.:10000.
x += g2(i)
end
x
end
b3 = @benchmark h1()
b4 = @benchmark h2()
printstyled("Anonymous function:\n\n"; bold=true)
display(b3) # min 745.989 μs
printstyled("One line function:\n\n"; bold=true)
display(b4) # min 402.577 μs

Came up because DiffEq has anonymous functions in the Documentation here:

Thank you. I completely missed that. And this was on top of a refactor where I removed globals as well.

So this doesn’t actually make a difference if I pass the global to another function, e.g. a solver from DiffEq:

using BenchmarkTools
g1 = t -> cos(t - 0.5 * t^2)
g2(t) = cos(t - 0.5 * t^2)
function h(g)
x = 0.
for i in 1.:10000.
x += g(i)
end
x
end
b3 = @benchmark h($g1)
b4 = @benchmark h($g2)
printstyled("Anonymous function:\n\n"; bold=true)
display(b3) # min 402.685 μs
printstyled("One line function:\n\n"; bold=true)
display(b4) # min 402.083 μs