Hello everyone ! I am newto nlopt,and I am trying to integrate nlopt algorithms into an optimization process. The cost and constraint function can not be described in a simple way, therefore I need to use a class with this function as a method. I use a wrapper function which I can pass to the nlopt routine. When I use MMA, the process run fine, but seem quite slow to converge (cost and constraints are quadratic, and there only are 2 variables). With SLSQP however I get a segmentation fault. The code had been posted at http://pastebin.com/W99r5rXb .
Can somebody help me ? Thanks, JD
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