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README.md

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Repository with implementations of the automatic dualization feature for MathOptInterface.jl conic optimization problems
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Dualization.jl has two main features.
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* The function `dualize` that can dualize either a `MathOptInterface.jl` or `JuMP.jl` model.
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* The function `dualize` that can dualize either a [`MathOptInterface.jl`](https://github.com/jump-dev/MathOptInterface.jl) or [`JuMP.jl`](https://github.com/jump-dev/JuMP.jl) model.
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```julia
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dual_model = dualize(model)
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One classic method employed to solve bilevel optimization programs is to add the
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KKT conditions of the second level problem to the upper level problem.
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This package is used to obtain the dual feasibility constraint of the KKT conditions
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in: https://github.com/joaquimg/BilevelJuMP.jl .
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in [`BilevelJuMP.jl`](https://github.com/joaquimg/BilevelJuMP.jl).

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