I have the following code:

```
lower = [-20, -20, -20, -20, -20, -20.0, -20, -20, -20, -20, -20, -20]
upper = [ 20, 20, 20, 20, 20, 20.0, 20, 20, 20, 20, 20, 20]
initial_x = [-1.4665866297620287, -3.5561543609716884, -5.328280757163652, -5.825432425624137, -4.06758438870819, 1.3365850018520555, 0.34726455461348643, 0.8708697538110506, 1.2180971705802224, 1.077432049937649, 0.20510584981238655, -1.6322406908860976]
inner_optimizer = BFGS(linesearch=LineSearches.BackTracking(order=3)) # GradientDescent()
results = optimize(test_initial_condition, lower, upper, initial_x, Fminbox(inner_optimizer), Optim.Options(iterations=10000))
params=(Optim.minimizer(results))
```

The output is:

```
* Status: failure
* Candidate solution
Final objective value: 1.750779e-01
* Found with
Algorithm: Fminbox with BFGS
* Convergence measures
|x - x'| = 7.29e-07 ≰ 0.0e+00
|x - x'|/|x'| = 7.23e-08 ≰ 0.0e+00
|f(x) - f(x')| = 0.00e+00 ≤ 0.0e+00
|f(x) - f(x')|/|f(x')| = 0.00e+00 ≤ 0.0e+00
|g(x)| = 2.36e+01 ≰ 1.0e-08
* Work counters
Seconds run: 10 (vs limit Inf)
Iterations: 1000
f(x) calls: 255906
∇f(x) calls: 16789
```

This is not too bad, but I know that the minimum is zero, and the solver stops at 0.175, so the result could be better. The solver stops after 1000 Iterations. Why is it ignoring the option: “Optim.Options(iterations=10000)” ?

The complete example can be found at: https://github.com/ufechner7/KiteViewer/blob/sim/test/test_optim.jl