[RBFOpt] Passing additional arguments into RBFOpt objective function

[Gupta, Sachin]

Hello,

I am becoming familiar with using RBFOpt and have a question about passing
additional arguments into the objective function. I would like to pass
arguments to the objective function that are not being varied for the
optimization but are necessary to execute the simulation and return the
objective value (similar to the problem described here
<https://stackoverflow.com/questions/43017792/minimize-function-with-parameters>,
which is solved with scipy's args input). These additional arguments may be
objects from other libraries. Is there a way to successfully pass these
arguments without them being part of the decision variables?

Best regards,
Sachin Gupta
New Jersey Institute of Technology
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