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Seminar
      
Department of Systems Engineering and Engineering Management,
                   
The Chinese University of Hong Kong
Title:
Optimal Design of Groundwater Remediation Systems with Sampling Methods
Speaker:
Professor C. T. Kelley
Department of Mathematics
North Carolina State University
Date : January 25, 2006 (Wednesday)
Time : 5:30 p.m. - 6:30 p.m.
Venue : Room 513, William M.W. Mong Engineering Building
(Engineering Building Complex Phase 2), CUHK
Abstract:
In this talk we discuss a class of problems in optimal
          design of subsurface
remediation and flow control
          systems. The objective functions and constraints
          are constructed from PDE solvers for the flow and
          species transport equations.
We show how to realize the
          problems with well-known production codes, how
          these codes and the underlying physics present obstacles
          to the optimization
algorithms, and how sampling methods,
          in particular implicit filtering, can
overcome these problems.
          The objective functions and constraints in these problems
          are typically non-
smooth in all the design parameters and
          discontinuous in some of them. We will
discuss the physical
          reasons for these properties and how optimization methods
          can deal with them.
Bio:
C. T. (Tim) Kelley has been working in numerical methods for optimization and
nonlinear equations for over 25 years. After graduating from Purdue
University,
he was a postdoctoral associate at the US Army Mathematics
Research Center
in Madison, Wisconsin for a year. He then moved to the
Mathematics Department
at North Carolina State University, where he is now
Drexel Professor of
Mathematics. He is the author of three books, over 100
papers, and has
supervised 14 PhD students. He is currently serving on several
editorial
boards, and is the Vice President for publications of SIAM.
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Note : Cookies and drinks will be available at 5:15 pm.
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***** ALL ARE WELCOME *****
Host : Prof. Shuzhong Zhang
Tel : 2609 8240
Email : zhang@se.cuhk.edu.hk
For more information please
refer to http://www.se.cuhk.edu.hk/~seg5810/
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