[Ipopt] run time constraint violation
Ming Ji
finalguy at gmail.com
Tue Apr 3 23:34:25 EDT 2012
--> Starting line search in iteration 2 <--
Mu has changed in line search - resetting watchdog counters.
Acceptable Check:
overall_error = 3.3081951656527707e+01 acceptable_tol_ =
9.9999999999999995e-07
dual_inf = 1.0184827638240758e+03 acceptable_dual_inf_tol_ =
1.0000000000000000e+10
constr_viol = 0.0000000000000000e+00 acceptable_constr_viol_tol_ =
1.0000000000000000e-08
compl_inf = 4.5618525445151024e+00 acceptable_compl_inf_tol_ =
1.0000000000000000e-02
curr_obj_val_ = 2.7727963512437492e-01 last_obj_val =
1.3239460189118296e-01
fabs(curr_obj_val_-last_obj_val_)/Max(1., fabs(curr_obj_val_)) =
1.4488503323319196e-01 acceptable_obj_change_tol_ = 1.0000000000000000e+20
test iter = 2
The current filter has 0 entries.
Relative step size for delta_x = 1.790897e-01
minimal step size ALPHA_MIN = 6.253269E-14
Starting checks for alpha (primal) = 1.00e+00
On Tue, Apr 3, 2012 at 9:02 PM, Ming Ji <finalguy at gmail.com> wrote:
> I am trying to solve a NLP problem with IPOPT. I noticed that constraints
> can be violated during the optimization. I need to take sqrt to estimate
> one term in my target function. So it is natural to add a constraint to
> make sure the sqrt calculation is always valid. However, during the
> iterations, IPOPT use some trial parameters that violate this constraint.
> The optimization almost always terminates before it finds any solution. Any
> work around for this?
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