Tangi Migot

Parallel evaluation of the black-box

1

As discussed with @salomonl , it would be great to be able to evaluate in parallel the black-box function.

Error for quadratic function with `hessian_reverse`

4

``` Zygote.hessian_reverse(x -> x[1] * x[2]^2 + x[1]^2 * x[2], [-1.2; 1.0]) ``` and I got the following error ``` ERROR: Need an adjoint for constructor Zygote.OneElement{Float64, 1, Tuple{Int64}, Tuple{Base.OneTo{Int64}}}....

Add CITATION file

4

What is the best way to cite this repository?

`LoadError: MethodError: no method matching _sparse(::SymbolicUtils.BasicSymbolic{Any}, ::Int64)`

3

I tried the following code: ``` using Symbolics, IfElse f(x) = Base.ifelse( # IfElse.ifelse doesn't work either x[1]

Avoid views in jtprod!

3

This would solve https://github.com/JuliaSmoothOptimizers/NLPModelsModifiers.jl/issues/77 ``` using NLPModels, NLPModelsModifiers, NLPModelsTest nlp = NLSLC() nls = FeasibilityFormNLS(nlp) x = get_x0(nls) y = get_y0(nls) Jtv = similar(x) jtprod!(nls, x, y, Jtv) @allocated jtprod!(nls,...

Add `Diagonal` in Array types

5

Close #223

I got the following error when using `ReverseDiff` ``` using LinearAlgebra, ReverseDiff n = 30 D = Diagonal([0.1 + 0.9 * (i - 1) / (n - 1) for i...

`ERROR: LinearOperatorException("storage types cannot be promoted to a concrete type")`

6

``` using ADNLPModels, CUDA, LinearOperators, NLPModels nvar = 10 x0 = CuArray(rand(nvar)) nlp = ADNLPModel(sum, x0, gradient_backend = ADNLPModels.ReverseDiffADGradient) V = typeof(x0) xc = V(undef, nvar) Hs = V(undef, nvar)...