Specifications

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This plot illustrates the convergence history in the "landscape" of the objective function. Here we can see
the reasons for the convergence being as it is. Actually, the optimum value lies in a relatively flat region and
therefore the exact mathematical location of the optimum may be of a more academic importance than
practical relevance since we can find many design point with almost the same objective function value.
"A flat optimum", like this, can occasionally cause problems for the optimization process to provide exact
convergence because it is difficult to distinguish between insignificant changes due to flatness or
convergence. Furthermore, one more obstacle for finding the exact optimum is present in the given case.
The objective function is not as smooth as the parameter study with the relative crude grid indicates. Below
you see the result of a parameter study, we have prepared for a small 2 by 2 mm design area in the vicinity
of the end-point of the fist optimization step.