<div dir="ltr">Thanks for pointing me in the right direction. I found the way to do it:<div><br></div><div>my_model = JuMP.Model(solver=Ipopt.IpoptSolver(max_iter=5000))<br></div><div><div><br></div><div>Best</div><div><br></div></div></div><div class="gmail_extra"><br><div class="gmail_quote">On Sat, May 14, 2016 at 7:09 AM, Stefan Vigerske <span dir="ltr"><<a href="mailto:stefan@math.hu-berlin.de" target="_blank">stefan@math.hu-berlin.de</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi,<br>
<br>
this list might not be the right place to ask questions specific to the JuMP interface.<br>
But <a href="https://github.com/JuliaOpt/Ipopt.jl" rel="noreferrer" target="_blank">https://github.com/JuliaOpt/Ipopt.jl</a> gives some hints on how to pass Ipopt options from JuMP to Ipopt.<br>
<br>
Best,<br>
Stefan<div><div class="h5"><br>
<br>
On 05/14/2016 12:19 AM, Jorge Fernández de Cossío Díaz wrote:<br>
</div></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div class="h5">
I am using Julia/JuMP + Ipopt to solve a nonlinear constrained optimization<br>
problem. The convergence is stopped because it reaches a maximum of<br>
iterations of 3000. How can I increase the maximum iterations in JuMP?<br>
<br>
<br>
<br></div></div><span class="">
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