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Update src/R2DH.jl clean documentation
Co-authored-by: Dominique <[email protected]>
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src/R2DH.jl

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@@ -32,11 +32,6 @@ where φ(s ; xₖ) = f(xₖ) + ∇f(xₖ)ᵀs + ½ sᵀ(Dₖ + σₖI)s is a qua
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The objective and gradient of `nlp` will be accessed.
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In the second form, instead of `nlp`, the user may pass in
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* `f` a function such that `f(x)` returns the value of f at x
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* `∇f!` a function to evaluate the gradient in place, i.e., such that `∇f!(g, x)` store ∇f(x) in `g`
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### Return values
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* `xk`: the final iterate

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