# It seems that MadNLP does not support general NLP problem

**URL:** <https://discourse.julialang.org/t/it-seems-that-madnlp-does-not-support-general-nlp-problem/116864>\
**Category:** Optimization (Mathematical)\
**Tags:** jump, nlp\
**Created:** [July 10, 2024, 10:59am UTC](https://discourse.julialang.org/t/it-seems-that-madnlp-does-not-support-general-nlp-problem/116864 "2024-07-10T10:59:25Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![pierre-haessig](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/pierre-haessig/32/217129_2.png) [@pierre-haessig](https://discourse.julialang.org/u/pierre-haessig)\
**Post date:** [July 10, 2024, 3:19pm UTC](https://discourse.julialang.org/t/it-seems-that-madnlp-does-not-support-general-nlp-problem/116864/2 "2024-07-10T15:19:36Z")

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Hi,  
Could it be the same symptom as [NLP: Attribute ScalarNonlinearFunction is not supported by the model](https://discourse.julialang.org/t/nlp-attribute-scalarnonlinearfunction-is-not-supported-by-the-model/110444), that is that MadNLP doesn’t support the new simplified syntax for nonlinear problem (that your are using) introduced in [JuMP 1.15](https://jump.dev/blog/1.15.0-release/) (Sept 2023).

Have you tried with `NLopbjective` instead?

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