From a8676f48d79c14755292ef3d69b7cbd3bb211776 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Beno=C3=AEt=20Legat?= Date: Tue, 24 Nov 2020 21:22:00 +0100 Subject: [PATCH] Improve hyperlinks --- README.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 28448c6..99974ee 100644 --- a/README.md +++ b/README.md @@ -21,7 +21,7 @@ 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) @@ -59,5 +59,4 @@ For more informations please read the [documentation][docs-stable-url] 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).