# Solve JuMP model with COSMO arbitrary precision

**URL:** <https://discourse.julialang.org/t/solve-jump-model-with-cosmo-arbitrary-precision/92807>\
**Category:** Optimization (Mathematical)\
**Tags:** jump\
**Created:** [January 11, 2023, 2:48pm UTC](https://discourse.julialang.org/t/solve-jump-model-with-cosmo-arbitrary-precision/92807 "2023-01-11T14:48:18Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![Thomas](https://avatars.discourse-cdn.com/v4/letter/t/e36b37/32.png) [@Thomas](https://discourse.julialang.org/u/Thomas)\
**Post date:** [January 11, 2023, 2:48pm UTC](https://discourse.julialang.org/t/solve-jump-model-with-cosmo-arbitrary-precision/92807/1 "2023-01-11T14:48:18Z")

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Afaik there is no support for arbitrary precision in JuMP, but is there a quick hack for COSMO?

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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:** [January 11, 2023, 8:30pm UTC](https://discourse.julialang.org/t/solve-jump-model-with-cosmo-arbitrary-precision/92807/2 "2023-01-11T20:30:02Z")

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The JuMP issue is: [Generic numeric type in JuMP · Issue #2025 · jump-dev/JuMP.jl · GitHub](https://github.com/jump-dev/JuMP.jl/issues/2025).

> but is there a quick hack for COSMO?

You can use COSMO without using JuMP:

- [Arbitrary Precision · COSMO.jl](https://oxfordcontrol.github.io/COSMO.jl/stable/literate/build/arbitrary_precision/)

You can also use COSMO with arbitrary precision through MathOptInterface or Convnex.jl.