From 653ed52d039fb089be19b4487f9d420a88e1fb78 Mon Sep 17 00:00:00 2001 From: Oscar Dowson Date: Thu, 12 Oct 2023 09:55:02 +0200 Subject: [PATCH] [docs] add reference to Polyhedra.jl --- docs/src/should_i_use.md | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/docs/src/should_i_use.md b/docs/src/should_i_use.md index 19d0f6397d0..d1f27d4146f 100644 --- a/docs/src/should_i_use.md +++ b/docs/src/should_i_use.md @@ -134,3 +134,13 @@ If you have stochastic input data, consider using a JuMP extension such as: * [InfiniteOpt.jl](https://github.com/infiniteopt/InfiniteOpt.jl) * [StochasticPrograms.jl](https://github.com/martinbiel/StochasticPrograms.jl) * [SDDP.jl](https://github.com/odow/SDDP.jl) + +### Polyhedral computations + +JuMP does not provide tools for working with the polyhedron formed by the set +of linear constraints. + +Alternatives to consider are: + + * [Polyhedra.jl](https://github.com/JuliaPolyhedra/Polyhedra.jl) (See the [documentation](https://juliapolyhedra.github.io/Polyhedra.jl/v0.7.6/optimization/#Creating-a-polyhedron-from-the-feasible-set-of-a-JuMP-model) + to create a polyhedron from a JuMP model.)