# JuMP: Constraint with a huge expression

**URL:** <https://discourse.julialang.org/t/jump-constraint-with-a-huge-expression/108456>\
**Category:** Optimization (Mathematical)\
**Tags:** jump\
**Created:** [January 7, 2024, 6:05am UTC](https://discourse.julialang.org/t/jump-constraint-with-a-huge-expression/108456 "2024-01-07T06:05:02Z")\
**Posts on this page:** 1\
**Showing post:** 10

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**Author:** ![A\_C](https://avatars.discourse-cdn.com/v4/letter/a/da6949/32.png) [@A\_C](https://discourse.julialang.org/u/A_C)\
**Post date:** [January 13, 2024, 4:26am UTC](https://discourse.julialang.org/t/jump-constraint-with-a-huge-expression/108456/10 "2024-01-13T04:26:20Z")

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Hi @tmigot  
The package looks very interesting, especially the Indirect Shooting part. Is there a plan to add 1. Multiple phases 2. Mesh Refinement 3. Scaling to the package?

It is mentioned [here](https://jso.dev/NLPModels.jl/stable/models/) that ADNLPModels.jl is not very efficient for large models. Also, in the benchmark [here](https://discourse.julialang.org/t/ac-optimal-power-flow-in-various-nonlinear-optimization-frameworks/78486/78) NLPModels seems to be slower than JuMP. So it would be interesting to see how the package performs on some largish problems.

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