I am using the JuMP package in julia with gurobi, and I can't seem to find any information online about how to print out an optimal solution. I can get the optimal objective value, but can't seem to find info on how to get an optimal solution. I tried solution_summary, but that gave me an error
1 Answers
Just use value(varname) such as:
m = Model(Gurobi.Optimizer);
@variable(m, x[1:2] >= 0)
@constraint(m, [1 2;3 4] * x .<= [10,20])
@objective(m, Max, [1,2]' * x )
optimize!(m)
and now:
julia> value.(x)
2-element Vector{Float64}:
0.0
5.0
Note that even if the model is MILP, the value will be always Float64 so usually you end up wanting to round it in some way or other.
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