# Can not Run nonlinear optimization example using Ipopt

I am new to Julia and recently try to learn to do optimization using JuMP.
I use the Quadratically constrained programs example in JuMP document website.

using JuMP
import Ipopt
import Test

function example_qcp(; verbose = true)
model = Model(Ipopt.Optimizer)
set_silent(model)
@variable(model, x)
@variable(model, y >= 0)
@variable(model, z >= 0)
@objective(model, Max, x)
@constraint(model, x + y + z == 1)
@constraint(model, x * x + y * y - z * z <= 0)
@constraint(model, x * x - y * z <= 0)
optimize!(model)
if verbose
print(model)
println("Objective value: ", objective_value(model))
println("x = ", value(x))
println("y = ", value(y))
end
Test.@test termination_status(model) == LOCALLY_SOLVED
Test.@test primal_status(model) == FEASIBLE_POINT
Test.@test objective_value(model) ≈ 0.32699 atol = 1e-5
Test.@test value(x) ≈ 0.32699 atol = 1e-5
Test.@test value(y) ≈ 0.25707 atol = 1e-5
return
end

example_qcp()
When I run it in Jupyterlab, it says run out of memory, and I also tried vscode, it keeps
How can I fix this problem to solve the optimization?

Cannot reproduce (see below), the first run of the model takes a few seconds because of precompilation, while the second run solves in 0.01 seconds, with 2kb memory allocated so it seems unlikely that this small problem would run out of memory?

``````julia> example_qcp()

******************************************************************************
This program contains Ipopt, a library for large-scale nonlinear optimization.
Ipopt is released as open source code under the Eclipse Public License (EPL).
******************************************************************************

Max x
Subject to
x + y + z == 1.0
x² + y² - z² <= 0.0
x² - z*y <= 0.0
y >= 0.0
z >= 0.0
Objective value: 0.32699283491387243
x = 0.32699283491387243
y = 0.2570658388068964

(jl_JTiMl3) pkg> st
Status `...\Temp\jl_JTiMl3\Project.toml`
[b6b21f68] Ipopt v0.9.1
[4076af6c] JuMP v0.22.2

julia> versioninfo()
Julia Version 1.7.2
Commit bf53498635 (2022-02-06 15:21 UTC)
Platform Info:
OS: Windows (x86_64-w64-mingw32)
``````

I am using Julia 1.7.1, JuMP v0.21.10, Ipopt v0.6.3.

julia> versioninfo()
Julia Version 1.7.1
Commit ac5cc99908 (2021-12-22 19:35 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: Intel(R) Core™ i7-9750H CPU @ 2.60GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-12.0.1 (ORCJIT, skylake).

I installed the Ipopt solver directly using `add Ipopt`.
Is it because the solver I installed is old, I saw you are
using Ipopt v0.9.1?

I have updated JuMP and Ipopt packages.
It’s Ok now. Before I installed several other packages