NLPModelsJuMP.jl
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Bug in hessian structure
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Oh, I think the problem comes from the model actually. I did the following (a bit nervous) test:
julia> using NLSProblems, NLPModels
julia> nlp = hs06()
julia> hess_structure(nlp)
([1, 267043088], [1, 167116808])
julia> hess_structure(nlp)
([1, 331019536], [1, 269359968])
julia> hess_structure(nlp)
([1, 331019536], [1, 167149984])
julia> hess_structure(nlp)
([1, 331019536], [1, 167150048])
julia> hess_structure(nlp)
([1, 5124065472], [1, 5124065472])
Originally posted by @tmigot in https://github.com/JuliaSmoothOptimizers/CaNNOLeS.jl/issues/43#issuecomment-1308778149