<div dir="ltr">Hi,<div><br></div><div>I am new to IPOPT. I need to solve a constrained NLP problem, but I don't have a feasible initial solution. </div><div><br></div><div>IPOPT ran a very long time (I set the max iteration as 20,000) and could not find a feasible solution (the "inf_pr" is still around 1000 after 20,000 iterations).</div>
<div><br></div><div>Then I changed "start _with_resto" to "yes", then within 20000 iterations, still no feasible solution found.</div><div><br></div><div>My model is not very big (~2000 decision variables with ~10 constraints). </div>
<div><br></div><div><br></div><div>My question are:</div><div>1) Do I have to provide a feasible solution as the starting point? </div><div>2) how does IPOPT judge a model feasible or not? </div><div><br></div><div>Thanks!</div>
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