Optimization problems from such diverse areas as meteorology, astronomy, engineering,
economics and medicine can be solved using general purpose software. With the growing
utilization of powerful computers and the increasing sophistication of optimization users,
general purpose software is being applied to problems that are larger and harder than ever
before. The speakers in this minisymposium will review recent developments in the theoretical
and practical aspects of optimization software. They will describe new packages, and also
provide some perspectives on the evolution of existing packages.
Organizers: Philip E. Gill, University of California, San Diego; and
Philippe Toint, Facultes Universitaires ND de la Paix, Belgium
- Computational Experience With A Sparse Nonlinear Program
- John T. Betts, The Boeing Company
- An SQP Method for Large-Scale Optimization
- Philip E. Gill, Organizer; Walter Murray and Michael A. Saunders, Stanford University
- Optimization Methods Appropriate for Large Problems with Expensive Functions
- Todd D. Plantenga and Juan Meza, Sandia National Laboratories
- Planning the Second Version of LANCELOT
- Andrew R. Conn, IBM T.J. Watson Research Center; Nick Gould, Rutherford Appleton Laboratory,
United Kingdom, Philippe L. Toint, Organizer
LMH, 3/15/96