UndefVarError: @variable not defined

Specific Domains Optimization (Mathematical)
1

hi Guys,
recently i have been trying to write a code but when i run it it shows me this:
“UndefVarError: @variable not defined” this is the entire code:
’ ’ ’ Julia
function scan_maker(A)
m = Model(solver=ClpSolver(PrimalTolerance=1e-3, DualTolerance=1e-3, InfeasibleReturn=1, PresolveType=1))
# m = Model(solver=GurobiSolver())
level = size(A, 2)
v = zeros(Int, level)
ub = zeros(Int, level)
lb = zeros(Int, level)

@variable(m, x[1:level])
@constraint(m, con, A*x.>=0)

function setc(c)
    for i = 1:size(A, 1)
        m.linconstr[i].lb = float(c[i])
    end
end

function scan()
    i = 1
    init = 1
    while i > 0
        if i >= init
            @objective(m, Max, x[i])
            res = JuMP.solve(m, suppress_warnings=true)
            if res==:Optimal || res==:Unbounded
                ub[i] = round(Int, getvalue(x[i]))
                setobjectivesense(m, :Min)
                res = JuMP.solve(m, suppress_warnings=true)
                @assert res==:Optimal || res==:Unbounded
                lb[i] = round(Int, getvalue(x[i]))

                v[i] = lb[i]
                init += 1
            else
                @assert res==:Infeasible
                i -= 1
                continue
            end
        elseif v[i] < ub[i]
            v[i] += 1
        else
            setupperbound(x[i], Inf)
            setlowerbound(x[i], -Inf)
            init -= 1
            i -= 1
            continue
        end

        if i >= level
            produce(v)
            continue
        else
            setupperbound(x[i], v[i])
            setlowerbound(x[i], v[i])
            i += 1
        end
    end
end

return setc, scan

end
’ ’ ’
i don’t know if there is a missing Pakage or something.

1 Like
2

You probably need using JuMP.

3 Likes
3

Thank you it worked.
there are a lot of packages to be known in this language.

1 Like