It should be!
I've often wondered why the info in that reference isn't in the NMinimize documentation.
Thank you. This references is VERY helpful!
The two methods have a number of options which you can adjust for better results.
https://reference.wolfram.com/language/tutorial/ConstrainedOptimizationGlobalNumerical.html
Thank you! Results are not fantastic, but it gets closer to the minimum.
You might get better results with Method -> "SimulatedAnnealing" or Method -> "DifferentialEvolution"
I am not sure, what you mean. My function depends on 5 parameters that should be within [0,2Pi]. I am not sure how you propose to minimize for each interval separately
Thank you for your interest. That is my first post and I did not knew about a code sample block. I updated post accordingly.
It would be better if you put your Mathematica code into a code sample block, so it can be copied and pasted into Mathematica without error.
Try to apply NMinimize separately to each piece of f[x]. Then choose global minimum result.
