Provides a wrapper around user analytic Hessian function for nonlinear optimization to try to control for inadmissible arguments to user that function, as well as provide for maximization.

1 |

`par` |
A vector of parameters to the user-supplied function |

`fnuser` |
A user-supplied function object that has three sub-functions fn, gr, and hess. fn generates the scalar numerical value of the objective function, gr its vector valued gradient (or is NULL) and hess a numerical matrix for the Hessian (or is NULL). |

Note that a FIXED name environment opx12env is used to carry the user's fn, gr and hess and the counters.

`uhess`

returns a matrix numeric value, but if the inputs to the function
are inadmissible, all elements are set to the R
constant .Machine$double.xmax and the
computation of `fn`

fails. The returned value has an attribute
`inadmissible`

which is returned TRUE in this case, but otherwise
is FALSE.

1 | ```
cat("uhess: try an inadmissible set of parameters to a user function\n")
``` |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.