Oscar Dowson
Oscar Dowson
Part of the performance problem is that a lot of the parameter data is used in the form of `0
Injections per node with long expressions: keep that. But for simple upper bounds, you can probably be cleverer in how you go about it.
Closing as won't fix. This is currently beyond the scope of Convex.jl's current maintainers. Anyone interested should experiment in a fork of Convex.jl and post below if you have something...
Closing because this has been improved. It could probably still be better, but that's a much larger job.
- [x] see https://github.com/jump-dev/Convex.jl/pull/574#discussion_r1458072804
I'd like to have a CVXPY type list of all atoms supported by Convex.jl: https://www.cvxpy.org/api_reference/cvxpy.atoms.other_atoms.html I think we could have a standard docstring template, and then a single page of...
Closing because documented in https://jump.dev/Convex.jl/stable/advanced/#Fixing-and-freeing-variables. See also https://github.com/jump-dev/Convex.jl/issues/383.
@ericphanson what is the status of this?
I took the thumbs up on https://github.com/jump-dev/Convex.jl/pull/595#issuecomment-2068592878 to mean that close this as won't-fix.
Now that https://github.com/jump-dev/Convex.jl/pull/590 is merged, this issue can be resolved by adding support for atoms that create the various `GenericConstraint{MOI.PowerCone}` constraints.