Prepare change in `hess_coord`

[tmigot]

An intermediary step for adding sparse hessian (that will dispatch on hess_coord!(b::ADBackend, nlp::AbstractNLPModel, x::AbstractVector, y::AbstractVector, obj_weight::Real, vals::AbstractVector))

[github-actions[bot]]

Package name	latest	stable
CaNNOLeS.jl
DCISolver.jl
DerivativeFreeSolvers.jl
JSOSolvers.jl
NLPModelsIpopt.jl
OptimizationProblems.jl
Percival.jl
QuadraticModels.jl
SolverBenchmark.jl
SolverTools.jl

[codecov[bot]]

Codecov Report

Base: 99.45% // Head: 99.46% // Increases project coverage by +0.00% :tada:

Coverage data is based on head (de7cbb4) compared to base (3e7f920). Patch coverage: 100.00% of modified lines in pull request are covered.

Additional details and impacted files

```diff @@ Coverage Diff @@ ## main #94 +/- ## ======================================= Coverage 99.45% 99.46% ======================================= Files 8 8 Lines 740 748 +8 ======================================= + Hits 736 744 +8 Misses 4 4 ``` | [Impacted Files](https://codecov.io/gh/JuliaSmoothOptimizers/ADNLPModels.jl/pull/94?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers) | Coverage Δ | | |---|---|---| | [src/ad.jl](https://codecov.io/gh/JuliaSmoothOptimizers/ADNLPModels.jl/pull/94/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL2FkLmps) | `96.96% <100.00%> (+0.67%)` | :arrow_up: | | [src/nlp.jl](https://codecov.io/gh/JuliaSmoothOptimizers/ADNLPModels.jl/pull/94/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL25scC5qbA==) | `100.00% <100.00%> (ø)` | | | [src/nls.jl](https://codecov.io/gh/JuliaSmoothOptimizers/ADNLPModels.jl/pull/94/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL25scy5qbA==) | `100.00% <100.00%> (ø)` | | Help us with your feedback. Take ten seconds to tell us [how you rate us](https://about.codecov.io/nps?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers). Have a feature suggestion? [Share it here.](https://app.codecov.io/gh/feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers)

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