Prep jprod!

[tmigot]

Use in-place API for matrix-vector

[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

Patch coverage: 96.29% and project coverage change: -0.09 :warning:

Comparison is base (2737f1d) 98.49% compared to head (722a82d) 98.40%.

Additional details and impacted files

```diff @@ Coverage Diff @@ ## main #116 +/- ## ========================================== - Coverage 98.49% 98.40% -0.09% ========================================== Files 8 8 Lines 994 1004 +10 ========================================== + Hits 979 988 +9 - Misses 15 16 +1 ``` | [Impacted Files](https://codecov.io/gh/JuliaSmoothOptimizers/ADNLPModels.jl/pull/116?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/116?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL2FkLmps) | `97.75% <66.66%> (ø)` | | | [src/zygote.jl](https://codecov.io/gh/JuliaSmoothOptimizers/ADNLPModels.jl/pull/116?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL3p5Z290ZS5qbA==) | `98.14% <87.50%> (-1.86%)` | :arrow_down: | | [src/forward.jl](https://codecov.io/gh/JuliaSmoothOptimizers/ADNLPModels.jl/pull/116?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL2ZvcndhcmQuamw=) | `97.72% <100.00%> (+0.16%)` | :arrow_up: | | [src/nlp.jl](https://codecov.io/gh/JuliaSmoothOptimizers/ADNLPModels.jl/pull/116?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL25scC5qbA==) | `98.52% <100.00%> (ø)` | | | [src/nls.jl](https://codecov.io/gh/JuliaSmoothOptimizers/ADNLPModels.jl/pull/116?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL25scy5qbA==) | `98.43% <100.00%> (ø)` | | | [src/reverse.jl](https://codecov.io/gh/JuliaSmoothOptimizers/ADNLPModels.jl/pull/116?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL3JldmVyc2Uuamw=) | `97.50% <100.00%> (+0.20%)` | :arrow_up: | 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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