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@blegat
blegat committed Nov 24, 2020
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Repository with implementations of the automatic dualization feature for MathOptInterface.jl conic optimization problems

Dualization.jl has two main features.
* The function `dualize` that can dualize either a `MathOptInterface.jl` or `JuMP.jl` model.
* 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.

```julia
dual_model = dualize(model)
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One classic method employed to solve bilevel optimization programs is to add the
KKT conditions of the second level problem to the upper level problem.
This package is used to obtain the dual feasibility constraint of the KKT conditions
in: https://github.com/joaquimg/BilevelJuMP.jl .

in [`BilevelJuMP.jl`](https://github.com/joaquimg/BilevelJuMP.jl).

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