Comments (2)
As you probably figured out, the NLP constraint function which is always g==2. It doesn't actually depend on x. That makes the constraint 0 <= g<= 0 unfeasible.
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Yes, I understood it as "find x s.t. rf-problem is satisfied and hence g=0" but is is "use x as an initial guess to the rf-problem and g=x where x satisfies the rf-problem".
Thanks for the reply, though!
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