**Test Problem:**

Let's reconsider the second example. When the optimization finishes
at Iteration 7, we have a confirmed minimizer at 0.0 and our cubic
spline approximation is quite accurate in the neighborhood of the
minimizer [ -0.2, 0.2 ]. But the approximation is not particularly
good in the region [ 0.833, 1.5 ]; in fact, the approximation
*a* suggests that there is another local minimizer of the
objective *f* in this region when none exists.

So let's perturb our function *f* and introduce a new basin
that contains a global minimizer in the region [ 0.833, 1.5 ] and see
what happens.

**Optimization Using Approximations:**

** Next:** Discussion of Second Example, Revisited
** Previous:** Discussion of Second Example