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A package to model linear and quadratic optimization problems using the NLPModels.jl data structures.
The problems represented have the form
optimize c₀ + cᵀ x + ½ xᵀ Q x subject to L ≤ Ax ≤ U and ℓ ≤ x ≤ u,
where the square symmetric matrix Q is zero for linear optimization problems.
If you think you found a bug, feel free to open an issue. Focused suggestions and requests can also be opened as issues. Before opening a pull request, start an issue or a discussion on the topic, please.
If you want to ask a question not suited for a bug report, feel free to start a discussion here. This forum is for general discussion about this repository and the JuliaSmoothOptimizers organization, so questions about any of our packages are welcome.
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