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Category "julia-jump"

Instead of defining an objective function, gradient, and hessian function seperatley, can you have one function return all?

Is there a way in JuMP to define a function that returns for example a tuple containing the objective function and the gradient, which you can pass to register?

Ctrl+C does not interrupt optimize!() regardless of solver

The problem pertains to JuMP, an optimization package for Julia. I realize this problem is likely specific to my machine; however, I have tried many of the obvi

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