Wednesday July 27/8:00
MS30/Grande Ballroom
Numerical Optimization
The theme of the minisymposium is the role of practical applications and emerging computer architectures in the shaping of new research in numerical optimization. The speakers will highlight some recent developments, including the minimization of non-smooth unconstrained functions and the solution of constrained problems with many thousands of variables and constraints.
Organizer: Philip E. Gill
University of California, San Diego
- 8:00: Recent Experience with Direct Search Methods
Margaret H. Wright, AT&T Bell Laboratories
- 8:30: Large-scale Global Minimization by Convex Global Underestimation to Local Minima
Andrew T. Phillips, U.S. Naval Academy, and J. Ben Rosen, University of California, San Diego
- 9:00: The Conditioning of Interior Methods for Constrained Optimization
Anders Forsgren, Royal Institute of Technology, Sweden; Philip E. Gill, Organizer; and Joseph R. Shinnerl, University of California, San Diego
- 9:30: Transformed Hessian Methods for Large-scale Constrained Optimization
Philip E. Gill, Organizer; Walter Murray and Michael Saunders, Stanford University