Cargando…

Conference on Large Scale Optimization

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Hager, W, Hearn, D, Pardalos, P
Lenguaje:eng
Publicado: Springer 1994
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-1-4613-3632-7
http://cds.cern.ch/record/2030853
_version_ 1780947441901633536
author Hager, W
Hearn, D
Pardalos, P
author_facet Hager, W
Hearn, D
Pardalos, P
author_sort Hager, W
collection CERN
description 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.
id cern-2030853
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 1994
publisher Springer
record_format invenio
spelling cern-20308532021-04-22T06:49:38Zdoi:10.1007/978-1-4613-3632-7http://cds.cern.ch/record/2030853engHager, WHearn, DPardalos, PConference on Large Scale OptimizationMathematical Physics and MathematicsOn 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.Springeroai:cds.cern.ch:20308531994
spellingShingle Mathematical Physics and Mathematics
Hager, W
Hearn, D
Pardalos, P
Conference on Large Scale Optimization
title Conference on Large Scale Optimization
title_full Conference on Large Scale Optimization
title_fullStr Conference on Large Scale Optimization
title_full_unstemmed Conference on Large Scale Optimization
title_short Conference on Large Scale Optimization
title_sort conference on large scale optimization
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-1-4613-3632-7
http://cds.cern.ch/record/2030853
work_keys_str_mv AT hagerw conferenceonlargescaleoptimization
AT hearnd conferenceonlargescaleoptimization
AT pardalosp conferenceonlargescaleoptimization