Tangi Migot

They are also missing from the readme

Maybe a first step along this way, would be to replace the following two functions by SparseMatrixCOO functions: - [ ] `coo_prod!` https://github.com/JuliaSmoothOptimizers/NLPModels.jl/blob/3b5ec8eedf78eaa609447456f69e01f55f0209ca/src/nlp/utils.jl#L76 - [ ] `coo_sym_prod!` https://github.com/JuliaSmoothOptimizers/NLPModels.jl/blob/3b5ec8eedf78eaa609447456f69e01f55f0209ca/src/nlp/utils.jl#L99

@dpo @abelsiqueira I re-ran the breakage tests to have an overview of the update to NLPModels 0.18/0.19, and we are now up-to-date !! Only the linear API in AmplNLReader is...

This fails because of #409 as ADNLPModels has not reached up-to-date NLPModels release.

So, the error comes from duplicate documentation. The `autodocs` block in the references page print all the docstrings. However, in pages like: https://juliasmoothoptimizers.github.io/NLPModels.jl/dev/models/ https://juliasmoothoptimizers.github.io/NLPModels.jl/dev/tools/ https://juliasmoothoptimizers.github.io/NLPModels.jl/dev/api/ https://juliasmoothoptimizers.github.io/NLPModels.jl/dev/internals/ we also call some...

https://juliasmoothoptimizers.github.io/NLPModels.jl/previews/PR411/

In the package [OptimizationProblems.jl](https://github.com/JuliaSmoothOptimizers/OptimizationProblems.jl/) we have a list of optimization models that could serve as a benchmark potentially. Many of the functions there are scalable. Could that be any useful...

Up this conversation following the discussion https://github.com/JuliaSmoothOptimizers/NLPModels.jl/pull/416 What @abelsiqueira described ``` I think that if you define Jx = jac_op(nlp, x), and change x afterward with .=, then Jx is...

Thanks!

I believe the model here is a simplified version of the one described in `marine.mod` in the archive provided in https://github.com/JuliaSmoothOptimizers/OptimizationProblems.jl/issues/161 .