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@@ -25,21 +25,6 @@ For the smooth component `f`, we refer to [jso.dev](https://jso.dev) for tutoria
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- models defined with automatic differentiation ([ADNLPModels.jl](https://github.com/JuliaSmoothOptimizers/ADNLPModels.jl)).
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We refer to [ManualNLPModels.jl](https://github.com/JuliaSmoothOptimizers/ManualNLPModels.jl) for users interested in defining their own model.
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For the regularizer, we refer to [this section](@ref regularizers).
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## Algorithms
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A presentation of each algorithm is given [here](@ref algorithms).
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## Preallocating
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All solvers in RegularizedOptimization.jl have in-place versions.
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Users can preallocate a workspace and reuse it across solves to avoid memory allocations, which is useful in repetitive scenarios.
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## How to Install

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