On February 15-17, 1993, a conference on Large Scale Optimization,
hosted by the Center for Applied Optimization, was held at the
University of Florida. The con ference was supported by the
National Science Foundation, the U. S. Army Research Office, and
the University of Florida, with endorsements from SIAM, MPS, ORSA
and IMACS. Forty one invited speakers presented papers on
mathematical program ming and optimal control topics with an
emphasis on algorithm development, real world applications and
numerical results. Participants from Canada, Japan, Sweden, The
Netherlands, Germany, Belgium, Greece, and Denmark gave the meeting
an important international component. At tendees also included
representatives from IBM, American Airlines, US Air, United Parcel
Serice, AT & T Bell Labs, Thinking Machines, Army High
Performance Com puting Research Center, and Argonne National
Laboratory. In addition, the NSF sponsored attendance of thirteen
graduate students from universities in the United States and
abroad. Accurate modeling of scientific problems often leads to the
formulation of large scale optimization problems involving
thousands of continuous and/or discrete vari ables. Large scale
optimization has seen a dramatic increase in activities in the past
decade. This has been a natural consequence of new algorithmic
developments and of the increased power of computers. For example,
decomposition ideas proposed by G. Dantzig and P. Wolfe in the
1960's, are now implement able in distributed process ing systems,
and today many optimization codes have been implemented on parallel
machines."
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