[Ipopt] increase Maximum Iterations, through JuMP

[Jorge Fernández de Cossío Díaz]

Thanks for pointing me in the right direction. I found the way to do it:

my_model = JuMP.Model(solver=Ipopt.IpoptSolver(max_iter=5000))

Best


On Sat, May 14, 2016 at 7:09 AM, Stefan Vigerske <stefan at math.hu-berlin.de>
wrote:

> Hi,
>
> this list might not be the right place to ask questions specific to the
> JuMP interface.
> But https://github.com/JuliaOpt/Ipopt.jl gives some hints on how to pass
> Ipopt options from JuMP to Ipopt.
>
> Best,
> Stefan
>
>
> On 05/14/2016 12:19 AM, Jorge Fernández de Cossío Díaz wrote:
>
>> I am using Julia/JuMP + Ipopt to solve a nonlinear constrained
>> optimization
>> problem. The convergence is stopped because it reaches a maximum of
>> iterations of 3000. How can I increase the maximum iterations in JuMP?
>>
>>
>>
>> _______________________________________________
>> Ipopt mailing list
>> Ipopt at list.coin-or.org
>> http://list.coin-or.org/mailman/listinfo/ipopt
>>
>>
>
> --
> http://www.gams.com/~stefan
>
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