Jump/Ipopt: is it possibe to retrieve the numerical Jacobian at the optimal point?

Hello, on a nonlinear solved optimization problem (JuMP/Ipopt) is it possible to retrieve the values of the Jacobian matrix at the returned optimal point ?

Hi,
Jacobian of the objective and/or the constraints ?

Is it a documented feature of Ipopt itself?

See

(This section is a recent addition, which is why it is only in the /dev docs; we haven’t tagged a new version of JuMP yet.)

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