# How to properly specify Jacobian & Hessian functions of inequality constraints (Optim)

**URL:** <https://discourse.julialang.org/t/how-to-properly-specify-jacobian-hessian-functions-of-inequality-constraints-optim/53870>\
**Category:** Optimization (Mathematical)\
**Tags:** optim, optimization\
**Created:** [January 24, 2021, 6:12pm UTC](https://discourse.julialang.org/t/how-to-properly-specify-jacobian-hessian-functions-of-inequality-constraints-optim/53870 "2021-01-24T18:12:34Z")\
**Posts on this page:** 1\
**Showing post:** 9

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**Author:** ![longemen3000](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/longemen3000/32/7298_2.png) [@longemen3000](https://discourse.julialang.org/u/longemen3000)\
**Post date:** [January 28, 2021, 11:16pm UTC](https://discourse.julialang.org/t/how-to-properly-specify-jacobian-hessian-functions-of-inequality-constraints-optim/53870/9 "2021-01-28T23:16:39Z")

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i did a patch supporting AD on constraints, basically, the “hessian” here, is not a hessian, but an operation over a hessian, adding the lagrange multipliers. a simplified version of what the jacobian and hessian of constraints is doing can be found in this post:

> [@Optim: gradient and Hessian of constraints](https://discourse.julialang.org/t/optim-gradient-and-hessian-of-constraints/31493/2):
>
> No one has implemented AD for those. It should be relatively simple though.

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