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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link=blue vlink=purple><div class=WordSection1><p class=MsoNormal>Dear all,<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>In the context of the optimal control, I am using IPOPT to solve a large-scale NLP problem. My motivation to use IPOPT is to reduce the computation time.<o:p></o:p></p><p class=MsoNormal>Using the available version of IPOPT with ma57 as the linear solver, I couldn’t obtain a real improvement in the computation speed and hence would like to try more recent versions of the linear solvers e.g. ma97 or Pardiso.<o:p></o:p></p><p class=MsoNormal>Unfortunately I was not successful to set up the mex file by myself, since I have little experience in using these strange compilers and tools.<o:p></o:p></p><p class=MsoNormal>I would be glad if some of who have more experience in this area, can guide me in this matter.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Bests,<o:p></o:p></p><p class=MsoNormal>Reza<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal style='text-autospace:none'><b><span lang=DE style='color:#1F497D'>Reza Hashemi, M.Sc.<o:p></o:p></span></b></p><p class=MsoNormal><span lang=DE style='color:#1F497D'>Lehrstuhl für Systemdynamik und Prozessführung / Process Dynamics and Operations Group<o:p></o:p></span></p><p class=MsoNormal><span style='color:#1F497D'>Fakultät Bio- und Chemieingenieurwesen</span><span style='color:#1F497D'> / Biochemical and Chemical Engineering Department<o:p></o:p></span></p><p class=MsoNormal><span lang=DE style='color:#1F497D'>TU Dortmund<o:p></o:p></span></p><p class=MsoNormal><span lang=DE style='color:#1F497D'>Emil-Figge-Str. 70<o:p></o:p></span></p><p class=MsoNormal><span lang=DE style='color:#1F497D'>44221 Dortmund, Germany<o:p></o:p></span></p><p class=MsoNormal><span lang=DE style='color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span lang=DE style='color:#1F497D'>Phone: (+49/0) 231 755 5165 Fax: (+49/0) 231 755 5129<o:p></o:p></span></p><p class=MsoNormal><span lang=DE style='color:#1F497D'>www.dyn.bci.tu-dortmund.de<o:p></o:p></span></p><p class=MsoNormal><span lang=DE><o:p> </o:p></span></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>