julia> using JuMP
julia> model = Model()
A JuMP Model
Feasibility problem with:
Variables: 0
@Model mode: AUTOMATIC
CachingOptimizer state: NO_OPTIMIZER
Solver name: No optimizer attached.
julia> @variable(model, x)
x
julia> f = Dict(1 => 2, 2 => 4)
Dict{Int64,Int64} with 2 entries:
2 => 4
1 => 2
julia> @NLexpression(model, F[a=1:2, b=1:f[a]], b * x^a)
JuMP.Containers.SparseAxisArray{NonlinearExpression,2,Tuple{Int64,Int64}} with 6 entries:
[1, 2] = "Reference to nonlinear expression #2"
[2, 3] = "Reference to nonlinear expression #5"
[2, 4] = "Reference to nonlinear expression #6"
[2, 2] = "Reference to nonlinear expression #4"
[1, 1] = "Reference to nonlinear expression #1"
[2, 1] = "Reference to nonlinear expression #3"
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