Sebastian Micluța-Câmpeanu

As @SouthEndMusic pointed out some interpolation methods do not allow that: https://github.com/SciML/DataInterpolations.jl/pull/421#discussion_r2036103489 Is there any case beyond LinearInterpolation that actually supports this?

> So in one way, it's really good that we get an explicit error thrown for such unsupported use. I'm glad this helped :D > To make that work it...

It looks like you have an old version of Optimization. Can you try updating to [email protected]? Does `]add [email protected]` work for you?

Yeah, that's expected. Those version bumps are still being worked on in SciML. You probably got the older version because some packages were not strict enough with the compat bounds.

Ah, nice. In that case, @RGonTheNoble using `]add [email protected]` should either work or tell you what's holding it back

I see... I was wondering where can I look into the details for Ipopt in particular, as I'm using `"max_iter" => x` for setting the `maxiters`, but that doesn't correspond...

> I was wondering where can I look into the details for Ipopt in particular, as I'm using `"max_iter" => x` for setting the `maxiters`, but that doesn't correspond to...

## Second model: Spring damper ```julia using ModelingToolkit: t_nounits as t, D_nounits as D using OrdinaryDiffEqTsit5 using SymbolicIndexingInterface using SciMLSensitivity import Zygote using Optimization, OptimizationOptimJL using LineSearches: BackTracking using SciMLBase...

## Third model: Pendulum model This one is a bonus, I was wondering if in the DAE case we see any errors and in this case there might be wrong...

I've seen this in a couple of places and it seems related to AutoSpecialize. When FullSpecialize is used, that doesn't appear.