Hi, I am new to nlopt and I am trying to figure out an issue with the LD MMA algorithm.
My optimization problem has the following inequality constraints. |C(x) -1| < 0 I decompose this absolute value into two inequalities as follows C(x) -1 <0 and -C(x) +1 <0 Since the LD MMA needs gradients of the constraints I am computing: del C(x)/ del x and -del C(x)/ del x and populating the gradient vector. The final result of the optimization step is yielding an "x" which does not satisfy the |C(x)-1| <0 constraint at all. (note my optimization is achieved with "relative_ftol_reached" criterion.) I suspect the derivative given above is causing the issue. By the way I have numerically checked the derivative computation itself. There is no error in the derivative computation. Can someone please point out what I am doing incorrect ? Best Kaushik
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