Procedural Nonlinear Constaint Generation - String to NLconstraint

Specific Domains Optimization (Mathematical)
, ,
4 
using JuMP

substitute_args(ex, vars) = ex
substitute_args(ex::Symbol, vars) = get(vars, ex, ex)
function substitute_args(ex::Expr, vars)
    for (i, arg) in enumerate(ex.args)
        ex.args[i] = substitute_args(arg, vars)
    end
    return ex
end

model = Model()
@variable(model, x[1:2])
str = "x1^3 + 5 * x1 * x2"
ex = Meta.parse(str)
vars = Dict(:x1 => x[1], :x2 => x[2])

set_NL_objective(
    model, 
    MOI.MIN_SENSE,
    substitute_args(ex, vars)
)
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