Work in progress.
Package for generating extreme value design candidate sets from inequality constraints. These types of experimental designs are useful for mixture experiments and generating calibrations.
using ExtremeVertexDesigns
using JuMP
model = Model()
@variables(model, begin
x
y
end)
@constraints(model, begin
0 <= x <= 1.0
0 <= y <= 1.0
x <= y
end)
evs = extreme_values( model; barycenters = true)
federov_D( 4, evs; k = 1e-6 )
Thank you to Júlio Hoffimann, and Benoît Legat for helping me grok Polyhedra.jl and improving some code.