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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 JuliaSmoothOptimizers/CaNNOLeS.jl#43 (comment)
The text was updated successfully, but these errors were encountered:
@tmigot I found the bug when I worked on the support of quadratic constraints. I opened a PR to fix it: #185 I will tag a new release after.
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Oh, I think the problem comes from the model actually. I did the following (a bit nervous) test:
Originally posted by @tmigot in JuliaSmoothOptimizers/CaNNOLeS.jl#43 (comment)
The text was updated successfully, but these errors were encountered: