[Ipopt] Ipopt Digest, Vol 96, Issue 4
Edson Cordeiro do Valle
edsoncv at enq.ufrgs.br
Thu Dec 13 12:33:43 EST 2012
Sean
In your first iteration the objective value is smaller than in the last
one, but if you check the second column (first iteration), inf_ptr which
is related to constraints violation, you'll see that your system is not
satisfying them.
I mean, the solver tries to minimize/maximize the objective but always
to satisfy the constraints and your constraint are not feasible in the
first iteration. The behavior you are observing does not necessarily
means that it converged to a local minimum and seems pretty acceptable.
Regards
Edson C. do Valle
edsoncv at enq.ufrgs.br
Skype: edson.cv
>
> Hey everybody,
>
> I have a problem that sometimes ends up increasing the objective and
> then landing in a local minimum like so:
>
> iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du
> alpha_pr ls
> 0 1.2178441e-04 1.05e+01 3.78e-02 0.0 0.00e+00 - 0.00e+00
> 0.00e+00 0
> 1 8.5210593e+00 6.82e-13 2.54e+04 -11.0 2.21e-01 - 1.00e+00
> 1.00e+00h 1
> 2 3.7647163e-01 6.82e-13 3.79e+01 -11.0 1.40e-01 - 1.00e+00
> 1.00e+00f 1
> 3 1.7764708e-01 6.82e-13 7.19e+00 -11.0 2.21e-02 - 1.00e+00
> 1.00e+00f 1
> 4 1.6117151e-01 6.82e-13 1.36e-01 -11.0 2.75e-02 - 1.00e+00
> 1.00e+00f 1
> 5 1.6112630e-01 6.82e-13 1.55e-02 -11.0 3.01e-04 - 1.00e+00
> 1.00e+00f 1
> 6 1.6113003e-01 6.82e-13 3.77e-05 -11.0 3.91e-05 - 1.00e+00
> 1.00e+00s 47
>
> This eventually kills my solver.
>
> Anybody have any settings advice or tips?
>
> Some of my current settings:
>
> app->Options ()->SetStringValue ("linear_solver", "ma27");
> app->Options ()->SetStringValue ("nlp_scaling_method", "gradient-based");
> app->Options ()->SetStringValue ("linear_system_scaling", "mc19");
> app->Options ()->SetStringValue ("mu_strategy", "adaptive");
>
> Thanks,
> Sean
>
>
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> End of Ipopt Digest, Vol 96, Issue 4
> ************************************
>
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