[Ipopt] Any method to speed up the NLP solution via IPOPT
Damien
damien at khubla.com
Mon Jan 9 22:11:09 EST 2017
Fan,
If you're using MKL Pardiso, one of the things we found that really
helps speed on our optimal control problems is setting
"pardiso_redo_symbolic_fact_only_if_inertia_wrong" to "yes". On large
problems the symbolic factorisation can take a long time.
Damien
On 1/9/2017 8:06 PM, zhadamfan wrote:
> To whom it may concern,
>
> I am trying to solve the nonlinear model predictive control problem.
> In each loop, a large-scale NLP is required to be sovled.
> To obtain a satisfying dynamic performance, a large predictive horizon
> is chosen. As a result, it takes a considerably long time to get the
> result.
>
> Is there any method to speed up the compuation? For example, parallel
> computing or some other technique?
>
> I used the OPTI toolbox in Matlab 2016a on Windows 7, 64bit. I checked
> the instruction on OPTI wiki. It is said that PARDISO is helpful.
> However, the effectiveness is limited.
>
> Thank you for any helpful suggestions sincerely. Looking forward to
> your reply.
>
> Best regards
> Fan
>
>
> _______________________________________________
> Ipopt mailing list
> Ipopt at list.coin-or.org
> http://list.coin-or.org/mailman/listinfo/ipopt
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://list.coin-or.org/pipermail/ipopt/attachments/20170109/f6b124a8/attachment.html>
More information about the Ipopt
mailing list