I am searching for a minimum using `NLopt.LN_SBPLX`

. The optimizer stops prematurely after ~100 iterations without throwing any errors or printing any messages. `display(sol)`

simply returns the last parameter vector that was used by the solver. I know the termination is premature because the value of the objective function was decreasing immediately before the termination (I can tell because the function `moment_for_optimizer`

prints the value of the objective function).

How can I display the solver status and reason for termination? Usually solvers give you messages such as `xtol was reached`

etc. I am looking for something like that so I know which tolerance to increase if I want the solver to continue running.

Below is how I call the optimizer

```
# moment_for_optimizer(x) = somefunction(x)
g(p_vec, pp) = moment_for_optimizer(p_vec)
f = OptimizationFunction(g)
prob = Optimization.OptimizationProblem(f, param_vec_guess, 1)
sol = solve(prob, NLopt.LN_SBPLX())
display(sol)
```