JuMP solver callback arguments

Specific Domains Optimization (Mathematical)
3

Thank you for your answer. It is good to know that more efficient callbacks are on their way.

I am still interested to know if the way I currently manage variables in the callback is the best I can do.
Here is a simplified example:

using JuMP
using CPLEX

# Definition of the callback
function myCallback()

    # Do something using the current value of variables n and w
    # ...
    
end 

# Example of instance file:
# n = 3
#
# d = [1 2 10;
# 1 3 20;
# 2 3 30]
#
# w = [1 2 100;
# 1 3 50;
# 2 3 20] 
instancePath = ["./instance1.txt", "./instance2.txt", "./instance3.txt"]

for instance in instancePath

    include(instance)

    model = Model(solver = CplexSolver())
    
    # Create the model using variables n and d
    # ...

    addlazycallback(model, myCallback)

    solve(model)

    # Do something with the results
    # ...

end