[Faculty] Fwd: [SDSU-CSRC COLLOQUIUM]: "High Performance Computational Differentiation Algorithms for Generalized Optimization Applications"

[Jose Castillo]

[image: cid:image001.jpg at 01D3A3DE.7CF4C6C0]

DATE:  *Friday, March 2, 2018*



TITLE:  *High Performance Computational Differentiation Algorithms for
Generalized Optimization Applications*



TIME:  *3:30PM*



LOCATION:  *GMCS 314*



SPEAKER:  *Dr. Ahmad Bani Younes*
*, Department of Aerospace Engineering, SDSU*



ABSTRACT:
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.HOST:  Satchi Venkataraman







Dr. Jose E. Castillo
Director/Professor
Computational Science Research Center
5500 Campanile Drive
San Diego State University
San Diego, CA  92182-1245
(619) 59407205/3430, FAX (619) 594-2459





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-- 

Jose E. Castillo  Ph.D.

Director / Professor

Computational Science Research Center

5500 Campanile Dr

San Diego State University

San Diego CA 92182-1245

619 5947205/3430, Fax 619-594-2459

 http://www.csrc.sdsu.edu/mimetic-book/
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