JuliaSmoothOptimizers / JuliaSmoothOptimizers/OptimizationProblems.jl
Make JuMP implementation compatible with generic types
Open
- Dominant language
- Julia
- Stars
- 90
- Forks
- 48
- PR merge metrics
- No merged PRs in 30d
Description
Right now we only support Float64.
https://jump.dev/JuMP.jl/stable/tutorials/conic/arbitrary_precision/
TODO:
- Add the keyword argument for the type in all the functions.
- Review ALL the implementations
- Add a test for that
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