CODEWITHSUNDEEP
variablesjuliasparse-matrixmathematical-optimizationjulia-jump
Berni
Berni

Reputation: 93

How to add a new variable to an already existing set of variables (based on a SparseAxisArray) in JuMP?

I am currently working with a JuMP model where I define the following example variables:

using JuMP
N = 3
outN = [[4,5],[1,3],[5,7]]

m = Model()
@variable(m, x[i=1:N,j in outN[i]] >=0)

At some point, I want to add, for example, a variable x[1,7]. How can I do that in an effective way? Likewise, how can I remove it afterwards? Is there an alternative to just fixing it to 0?

Thanks in advance

Upvotes: 0

Views: 225

Answers (1)

Oscar Dowson
Oscar Dowson

Reputation: 2574

You're probably better off just using a dictionary:

using JuMP
N = 3
outN = [[4,5],[1,3],[5,7]]

model = Model()
x = Dict(
    (i, j) => @variable(model, lower_bound = 0, base_name = "x[$i, $j]")
    for i in 1:N for j in outN[i]
)
x[1, 7] = @variable(model, lower_bound = 0)
delete(model, x[1, 4])
delete!(x, (1, 4))

Nothing about JuMP restricts you to using only the built-in variable containers: https://jump.dev/JuMP.jl/stable/variables/#User-defined-containers-1

Upvotes: 1

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