[Ipopt-tickets] [Ipopt] #179: solution not within bounds when all variables are fixed

[Ipopt]

#179: solution not within bounds when all variables are fixed
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  Reporter:  stefan  |      Owner:  ipopt-team
      Type:  defect  |     Status:  new
  Priority:  normal  |  Component:  Ipopt
   Version:  3.10    |   Severity:  normal
Resolution:          |   Keywords:
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Comment (by stefan):

 I tried to workaround my problem by ensuring that the starting point I
 pass to Ipopt is always within bounds.

 Unfortunately, it did not work.
 However, also replacing ReOptimizeNLP() by OptimizeNLP() seems to work.

 So, is it actually allowed to call ReOptimizeNLP() to re-optimize a NLP
 after having fixed some of it's variables?

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Ticket URL: <https://projects.coin-or.org/ticket/179#comment:1>
Ipopt <http://projects.coin-or.org/Ipopt>
Interior-point optimizer for nonlinear programs.