JuMP tutorial to NLopt doesn't work

[sourav-majumdar-math]

In the tutorial,

using JuMP
using NLopt

model = Model(NLopt.Optimizer)
set_optimizer_attribute(model, "algorithm", :LD_MMA)

a1 = 2
b1 = 0
a2 = -1
b2 = 1

@variable(m, x1)
@variable(m, x2 >= 0)

@NLobjective(m, Min, sqrt(x2))
@NLconstraint(m, x2 >= (a1*x1+b1)^3)
@NLconstraint(m, x2 >= (a2*x1+b2)^3)

set_start_value(x1, 1.234)
set_start_value(x2, 5.678)

optimize!(model)

println("got ", objective_value(model), " at ", [value(x1), value(x2)])

Shouldn't it be model instead of m in @variable(m,x1) and other places where m appears? Otherwise it gives an error that m is not defined.

If I proceed with model instead of m, then at optimize!(model) I get UndefVarError: optimize! not defined.

I am on Ubuntu 20.04 with Julia version 1.4.1. I am using the Juno IDE. The other tutorial with NLopt without calling JuMP worked as expected.

[blegat]

Indeed, thanks for letting us know, this should be fixed now. About the error UndefVarError: optimize! not defined. Which JuMP version are you using ? You should use at least v0.19 for this to work.

[sourav-majumdar-math]

I am using JuMP v0.21.8. Additionally I get the warning WARNING: both NLopt and JuMP export "optimize!"; uses of it in module Main must be qualified on calling optimize!.