Distinguished H. Lyman Hooker Visiting Professor Seminar Series 2002


Three seminars will be given by our distinguished guest professor:

Dr. Andrew R. Conn

October 7: Large scale non-linear optimization and the design of circuits
October 15: Derivative free optimization
October 17: A brief overview of trust region interior point methods for nonlinear programming

The Distinguished H. Lyman Hooker Visiting Professor of McMaster University


Biography

Dr. Conn is a research staff member at the IBM Thomas J. Watson Research Center, Yorktown Heights, NY. He earned his Ph.D. at the University of Waterloo, Canada in 1971, and joined IBM Research in 1990. He was a member of the Department of Combinatorics and Optimization and the Department of Computer Science, University of Waterloo, Waterloo, Ontario, Canada from 1972-1991. In 1992 and 1993 he was a visiting professor in the Operations Research Department, Yale University. He currently is an adjunct Professor at the University of Minnesota, Minneapolis, where he has a Ph.D student. His current research is in the Optimization Center and he manages the Numerical Analysis Group, both in Mathematical Sciences. His research interests are in mathematical programming and is typically motivated by algorithms but includes convergence analysis, theory, applications and software. Although predominately devoted to continuous nonlinear optimization, he has had an ongoing interest in linear and discrete problems, exploiting their structure and adapting continuous techniques to their solution. In the last several years he has been especially involved in large-scale nonlinear optimization and, in particular is a co-author of the large-scale nonlinear programming package LANCELOT and the testing environment CUTE. Moreover, he has a great interest in applications of optimization to complex problems, especially those involving simulation. In particular, with Michael Henderson and Chandu Visweswariah he has been applying nonlinear optimization to circuit tuning problems. The systems they have developed have successfully handled problems with thousands of nonlinear variables and constraints, and have made a significant impact on IBM's circuit design. With Philippe Toint and Katya Scheinberg he has developed algorithms that do not model derivatives, that are called DFO, for derivative free optimization. He is a past chairman of the SIAM activity group on Optimization, and was on the editorial board of the SIAM Journal on Optimization from its foundation until 1999. He is currently on the editorial board of Mathematical Programming. In addition to two books he has authored more than seventy research papers. In 1994 he was (with Gould and Toint) a joint recipient of the Beale/Orchard-Hays Prize for Computational Excellence in Mathematical Programming.

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Faculty of Engineering Department of Computing And Software


Last change: Sept. 16th, 2002. by Lois Zhu
Revised by Prof. Tamás Terlaky