I’m trying to rework how “model parameters” work in my model. I know that using JuMP import HiGHS model = direct_model(HiGHS.Optimizer()) p = @variable(model) fix(p, 1.0; force=true) x = @variable(model) @constraint(model, x >= p) @objective(model, Min, x + 0) optimize!(model) fix(p, 10.0; for…

No, there are no multiplicative parameters in JuMP. As you’ve seen, we’ve had two attempts at introducing them (ParameterJuMP and ParametricOptInterface, but they both have issues with performance overhead).

JuMP: Multiplicative parameters for LP

Specific Domains Optimization (Mathematical)

jd-foster February 7, 2023, 10:50am 2

You may be interested in this part of the JuMP manual: Modify a variable coefficient.

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JuMP: Multiplicative parameters for LP

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