Constrained nonlinear optimization function in R with Hessian matrix

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Hi,

I'm looking for a function in R that could solve an augmented Lagrangian function (with equality and inequality constraints) that takes the Hessian matrix to compute Newton steps.

So far, I have tried using constrOptim.nl from the alabama package, but it does not allow to use second order derivates for faster implementation. I have also tried using auglag from the same package, but the result is the same.

There is a post on StackOverflow which refers to the trust package, but this one does not allow for constrained optimization.

Thanks in advance !

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