# Gurobi constraint

**URL:** <https://discourse.julialang.org/t/gurobi-constraint/51798>\
**Category:** Optimization (Mathematical)\
**Tags:** jump, optimization\
**Created:** [December 14, 2020, 10:07am UTC](https://discourse.julialang.org/t/gurobi-constraint/51798 "2020-12-14T10:07:04Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![odow](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/odow/32/28685_2.png) [@odow](https://discourse.julialang.org/u/odow)\
**Post date:** [December 14, 2020, 8:55pm UTC](https://discourse.julialang.org/t/gurobi-constraint/51798/2 "2020-12-14T20:55:19Z")

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Gurobi supports quadratic constraints and objectives. In this case, it is even able to reformulate your model into a mixed-integer linear program. However, Gurobi is still able to solve non-convex quadratic programs. You may be interested in watching [https://www.gurobi.com/resource/non-convex-quadratic-optimization/](https://www.gurobi.com/resource/non-convex-quadratic-optimization/).

p.s. I edited the formatting of your post, you should take a read of [PSA: make it easier to help you](https://discourse.julialang.org/t/psa-make-it-easier-to-help-you/14757).

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