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Update src/R2DH.jl clean documentation
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Co-authored-by: Dominique <[email protected]>
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MohamedLaghdafHABIBOULLAH and dpo authored Jan 10, 2025
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Expand Up @@ -32,11 +32,6 @@ where φ(s ; xₖ) = f(xₖ) + ∇f(xₖ)ᵀs + ½ sᵀ(Dₖ + σₖI)s is a qua
The objective and gradient of `nlp` will be accessed.
In the second form, instead of `nlp`, the user may pass in
* `f` a function such that `f(x)` returns the value of f at x
* `∇f!` a function to evaluate the gradient in place, i.e., such that `∇f!(g, x)` store ∇f(x) in `g`
### Return values
* `xk`: the final iterate
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