Hi there,<div><br></div><div>I have a NLP with about 2n variables, of which (n' < n) are fixed (x_l = x_u).</div><div>The number of constraints are m+n, of which m are linear inequality constraints and n are nonlinear equality constraints. </div>
<div><br></div><div>My understanding is that IPOPT makes those fixed variables parameters instead. Leaving about 2n-n' variables to the solver.</div><div> </div><div>I get a slightly different result though:</div><div>
"Too few degrees of freedom (n_x = 8993, n_c = 17906)"</div><div><br></div><div>I don't know which part of the problem (the nonlinear part only?, or just the equality equations?) corresponds to these n_x and n_c numbers. </div>
<div>I only see n-n' variables for n_x where I expect n_x = 2n-n' = 8993 +17906 = 26899. </div><div>The number of constraints (n_c) don't include m either, leaving me partially confused. </div><div><br></div><div>
Perhaps to help me better debug this problem, one can suggest how to access the id's of the eliminated variables?</div><div>This way I can make sure if any of the variables are incorrectly eliminated (presumably due to my own mistake).</div>
<div><br></div><div>Thanks,</div><div>- Aydin<br><div><br>
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