Eric Hanson

> Thank you for that detailed description. No problem, I'm glad you're interested! > It would be really cool if arbitrary functions could be automatically adapted using some sort of...

Just a brief update: Hamza says it would be great if we port it to Julia and he’ll look into adding a license too. So that aspect should be fine.

Atoms can return matrices, although Convex sadly does not support higher-dimensional arrays, which means workarounds might be needed at some parts because I think cvxquad does use them (well, higher...

Also, in his email Hamza mentioned this: > I am planning to update the cvxquad code some time soon to fix a known issue with the matrix_geo_mean functions -- the...

Sorry for the delay; just submitted my PhD thesis on Friday so I should be a bit more free now :). > Thanks. This helps me get started. I've implemented...

> Wow, congrats on the thesis submission! Bet it feels good to be done with that. Thanks! It sure does :). > I made a branch with the two functions...

> So, I experimented a bit with making GeomMeanHypoCone a constraint rather than a function: > https://github.com/dstahlke/Convex.jl/tree/logm-constraint > ... and I'm stuck right in the middle of indecisiveness about whether...

I agree with @blegat that that's the way to go. Right now, in https://github.com/JuliaOpt/Convex.jl/blob/a7d385a957cecd6646d31b43f87a8cf64c2e9521/src/solution.jl#L138, Convex.jl loads up a MathOptInterface model (MOI) with the objective function and constraints. The way it...

> Do you have any ideas how to go about this? I’ve thought about this a little, and I think the simplest way to start would be some kind of...

Just to say I've been looking at an alternate way in the `eph/moi2` branch (see the `ConicFormProblem.jl` file; it's called that since I had a `ConicFormProblem` struct in there at...