Dominique

We don’t have any infrastructure for bilevel problems. Problems with (smooth or nonsmooth) regularizers should go in RegularizedProblems.jl. That includes TV problems, LASSO, etc. Least-squares problems should go in NLSProblems.jl.

Just so we remember what to add to the README, I just installed SIFDecode and CUTEst with Meson on Linux and all went smoothly. Here are the different steps: ```...

I'm using Julia 1.10.4. I tried both x86 and aarch64. The error above is with the x86 version. On aarch64, I get ``` ❯ julia pluto_to_pdf.jl 07:44:12 [ Info: Running...

The selection tool should be revised. Here is another confusing example: ```julia julia> select_sif_problems(; max_var = 2, only_bnd_var = true)[2] "HS17" julia> model = CUTEstModel("HS17") Problem name: HS17 All variables:...

Thank you for the report @aldma. Indeed, it seems like a bug for zeros to appear in the sparsity structure. If I understand well, you are using `nlp`, which means...

I remember a recent conversation with @tmigot about those zeros. I can reproduce the issue above. I don’t think they should be there. This behavior: ```julia ulia> jac_structure(nlp) ([1, 1,...

I don’t see why the lines https://github.com/JuliaSmoothOptimizers/CUTEst.jl/blob/main/src/julia_interface.jl#L453 are there. I would expect `nnzj = lin_nnzj + nln_nnzj`. Is it because we can’t predict that there will be duplicate entries?

@tmigot This is a different error. Here the issue is that you're building on Mac x64, but CUTEst_jll.jl installs the aarch64 shared libraries (probably because of the gfortran version). I...

@nHackel I had to rebase your branch and did so in #351.

@MaxenceGollier Could you please rebase?