<div dir="ltr"><div class="gmail_quote"><br><br><div lang="EN-US" link="#0563C1" vlink="#954F72"><div class="m_-4848915536673098398WordSection1"><p class="MsoNormal" align="center" style="text-align:center"><span style="font-family:"Verdana",sans-serif;color:black"><img width="1017" height="115" style="width:10.5937in;height:1.1979in" id="m_-4848915536673098398Picture_x0020_1" src="cid:image001.jpg@01D3A3DE.7CF4C6C0" alt="cid:image001.jpg@01D3A3DE.7CF4C6C0"></span><span style="font-family:"Verdana",sans-serif;color:black"><u></u><u></u></span></p><p class="MsoNormal" align="center" style="text-align:center"><span style="font-family:"Verdana",sans-serif;color:black">DATE:</span><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"> </span><span style="font-size:13.5pt;font-family:"Verdana",sans-serif;color:black"> </span><b><span style="font-size:18.0pt;font-family:"Verdana",sans-serif">Friday, March 2, 2018</span></b><u></u><u></u></p><p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"> </span><u></u><u></u></p><p class="MsoNormal" align="center" style="text-align:center"><span style="font-family:"Verdana",sans-serif;color:black">TITLE:</span><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">  </span><span class="m_-4848915536673098398event-description"><b><span style="font-size:20.0pt;font-family:"Verdana",sans-serif">High Performance Computational Differentiation Algorithms for Generalized Optimization Applications</span></b></span><u></u><u></u></p><p class="MsoNormal" align="center" style="text-align:center"><span style="font-family:"Verdana",sans-serif;color:black"> </span><u></u><u></u></p><p class="MsoNormal" align="center" style="text-align:center"><span style="font-family:"Verdana",sans-serif;color:black">TIME:</span><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"> </span><span style="font-size:13.5pt;font-family:"Verdana",sans-serif;color:black"> </span><b><span style="font-size:18.0pt;font-family:"Verdana",sans-serif">3<span style="color:black">:30PM</span></span></b><u></u><u></u></p><p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"> </span><u></u><u></u></p><p class="MsoNormal" align="center" style="text-align:center"><span style="font-family:"Verdana",sans-serif;color:black">LOCATION:</span><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"> <b> </b></span><b><span style="font-size:18.0pt;font-family:"Verdana",sans-serif">GMCS 314</span></b><u></u><u></u></p><p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"> </span><u></u><u></u></p><p class="MsoNormal" align="center" style="text-align:center"><span style="font-family:"Verdana",sans-serif;color:black">SPEAKER:</span><span style="font-size:13.5pt;font-family:"Verdana",sans-serif;color:black">  </span><b><span style="font-size:18.0pt;font-family:"Verdana",sans-serif">Dr.<span style="color:#1f497d"> </span>Ahmad Bani Younes</span></b> <b><span style="font-size:18.0pt;font-family:"Verdana",sans-serif">, <span style="color:#1f497d"><br></span>Department of Aerospace Engineering, SDSU</span></b><u></u><u></u></p><p class="MsoNormal" align="center" style="text-align:center"><span style="font-family:"Verdana",sans-serif;color:black"> </span><u></u><u></u></p><p class="MsoNormal"><span style="font-family:"Verdana",sans-serif;color:black">ABSTRACT:</span><u></u><u></u></p><h2><span class="m_-4848915536673098398event-description"><span style="font-size:12.0pt;font-family:"Verdana",sans-serif;font-weight:normal">Computational differentiation has existed since the 1960’s as a scientific and engineering methodology for automatically generating sensitivity partial derivative models for stability assessments and optimization studies.  Two solution strategies have been developed for building sensitivity models.  The first approach uses the analyst software, i.e. expressed in Fortran, C, or other languages, as a template for writing a sensitivity software solution for the problem. Unfortunately, very large partial derivative model result.  In theory, the derived first-order model can then be used as a template for the second and higher order sensitivity models.  A further complicating feature of this approach is that the resulting software models are not readable by analysts.  The second approach for generating higher-order sensitivity models invokes the use of operator-overloading and user defined data structures for enabling the compilier to derive and code the sensitivity solution. Some of these developments are and demonstrated via various generalized optimization applications.</span></span><span class="m_-4848915536673098398event-description"><span style="font-size:12.0pt;font-family:"Verdana",sans-serif;font-weight:normal"><u></u><u></u></span></span></h2><h2><span style="font-size:11.0pt;font-family:"Verdana",sans-serif;color:black;font-weight:normal">HOST:</span><span style="font-family:"Verdana",sans-serif;color:#1f497d">  </span><span class="m_-4848915536673098398event-description"><span style="font-size:12.0pt;font-family:"Verdana",sans-serif;font-weight:normal">Satchi Venkataraman</span></span><u></u><u></u></h2><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal"><span style="font-size:9.5pt;font-family:"Verdana",sans-serif;color:black"> </span><u></u><u></u></p><p class="MsoNormal"> <u></u><u></u></p><p class="MsoNormal"><span style="font-size:9.5pt;font-family:"Verdana",sans-serif;color:black">Dr. Jose E. Castillo<br>Director/Professor<br>Computational Science Research Center<br>5500 Campanile Drive<br>San Diego State University<br>San Diego, CA  92182-1245<br>(619) 59407205/3430, FAX </span><a href="tel:%28619%29%20594-2459" target="_blank"><span style="font-size:9.5pt;font-family:"Verdana",sans-serif">(619) 594-2459</span></a><u></u><u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal"><u></u> <u></u></p></div></div><br>______________________________<wbr>_________________<br>
SDSU Computational Science Research Center<br>
Mailing List<br></div><br><br clear="all"><div><br></div>-- <br><div class="gmail_signature" data-smartmail="gmail_signature">







<p>Jose E. Castillo  Ph.D.</p><p>Director / Professor </p>
<p>Computational Science Research Center</p>
<p>5500 Campanile Dr</p>
<p>San Diego State University</p>
<p>San Diego CA 92182-1245</p>
<p>619 5947205/3430, Fax 619-594-2459</p><p> <a href="http://www.csrc.sdsu.edu/mimetic-book/" target="_blank">http://www.csrc.sdsu.edu/mimetic-book/</a></p></div>
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