<div dir="ltr">You use 'hessian_approximation','limited-memory', which means at the start it has no idea about the Hessian. Moreover, you probably do not set the values of the dual variables. Only if IPOPT knows the Hessian and both primal and dual values, it can take the most sensible steps towards the optimal solution.</div><div class="gmail_extra"><br><div class="gmail_quote">On Sat, Jun 27, 2015 at 12:13 PM, Gianpaolo Gulletta <span dir="ltr"><<a href="mailto:gianpaologulletta@gmail.com" target="_blank">gianpaologulletta@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div lang="EN-US" link="#0563C1" vlink="#954F72"><div><p class="MsoNormal">Hi everybody,<u></u><u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">I realized that the performance of the algorithm Ipopt decreases when it starts either from the optimal solution or from very closely.<u></u><u></u></p><p class="MsoNormal">I saw that the problem has already been addressed <a href="https://www.or-exchange.org/questions/1268/why-ipopt-needs-so-many-iterations-when-starting-from-the-optimal-solution" target="_blank">here</a> but I am still looking for the answer.<u></u><u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">Can anyone help? <u></u><u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">Thank you.<u></u><u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">Regards,<span class="HOEnZb"><font color="#888888"><u></u><u></u></font></span></p><span class="HOEnZb"><font color="#888888"><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal"><span lang="EN-GB">Gianpaolo Gulletta<u></u><u></u></span></p><p class="MsoNormal"><u></u> <u></u></p></font></span></div></div><br>_______________________________________________<br>
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