Olivier Cots

Results 27 issues of Olivier Cots

It could be nice to have an example with abnormals to show how to deal with $p^0$. We can also augment the system.

documentation

@PierreMartinon @BaptisteCbl your mission if you accept it is to improve drastically the performance of our solver, thanks to wise profiling and benchmarking.

enhancement

A user should have the possibility to get the dual variables of a constraint he has labeled, as in `JuMP` (cf. the `dual` function). See also #131

enhancement
march2023

- Update plot manual when the compat of CTModels is up-to-date, since the method `plot(sol, ocp)` won't exist anymore. - We must add also the docstrings of the `plot(sol, description...;...

documentation
good first issue

- Explain in more details [AD backends](https://control-toolbox.org/OptimalControl.jl/dev/manual-solve.html#manual-solve-direct-method) in the documentation. What do optimized, manual and default and when choosing one or another. - Maybe replace `adnlp_backend` by `adnlp_ad_backend`.

documentation

Add a part about jump on the costate related to state constraints in the manual on flows. This is related to concatenation of flows.

documentation
good first issue

Add in the [documentation](https://control-toolbox.org/OptimalControl.jl/stable/) a manual on the possible interactions with a model (that is an optimal control problem) and a solution. The manual must include docstrings and examples. **Remark.**...

documentation
good first issue

It would be nice to have a CommonPlot.jl package as [CommonSolve.jl](https://github.com/SciML/CommonSolve.jl) where `plot` and `plot!` are defined (maybe others too). Then, the `plot` and `plot!` from Plots would have to...

question

Hi @amontoison @abelsiqueira and others! I am working on [control-toolbox](https://github.com/control-toolbox) and I would handle options for the modelers and solvers quite nicely for the user. To do this, I need...

Add tests on max problems for all combos. New release of MadNLP is coming: https://github.com/MadNLP/MadNLP.jl/pull/519.

internal dev