Large Scale Optimization: State of the Art
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1994
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 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 conference 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 programming 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. Attendees also included representatives from IBM, American Airlines, US Air, United Parcel Serice, AT & T Bell Labs, Thinking Machines, Army High Performance Computing 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 largescale optimization problems involving thousands of continuous and/or discrete variables. 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 processing systems, and today many optimization codes have been implemented on parallel machines |
| Beschreibung: | 1 Online-Ressource (XIV, 456 p) |
| ISBN: | 9781461336327 9781461336341 |
| DOI: | 10.1007/978-1-4613-3632-7 |
Internformat
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| 500 | |a 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 conference 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 programming 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. Attendees also included representatives from IBM, American Airlines, US Air, United Parcel Serice, AT & T Bell Labs, Thinking Machines, Army High Performance Computing 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 largescale optimization problems involving thousands of continuous and/or discrete variables. 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 processing systems, and today many optimization codes have been implemented on parallel machines | ||
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Datensatz im Suchindex
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| spelling | Hager, W. W. edt Large Scale Optimization State of the Art edited by W. W. Hager, D. W. Hearn, P. M. Pardalos Boston, MA Springer US 1994 1 Online-Ressource (XIV, 456 p) txt rdacontent c rdamedia cr rdacarrier 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 conference 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 programming 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. Attendees also included representatives from IBM, American Airlines, US Air, United Parcel Serice, AT & T Bell Labs, Thinking Machines, Army High Performance Computing 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 largescale optimization problems involving thousands of continuous and/or discrete variables. 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 processing systems, and today many optimization codes have been implemented on parallel machines Mathematics Computer science / Mathematics Geometry Real Functions Mathematical Modeling and Industrial Mathematics Computational Mathematics and Numerical Analysis Informatik Mathematik Optimierung (DE-588)4043664-0 gnd rswk-swf Großes System (DE-588)4022184-2 gnd rswk-swf (DE-588)1071861417 Konferenzschrift gnd-content Großes System (DE-588)4022184-2 s Optimierung (DE-588)4043664-0 s 1\p DE-604 Hearn, D. W. edt Pardalos, P. M. edt https://doi.org/10.1007/978-1-4613-3632-7 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Large Scale Optimization State of the Art Mathematics Computer science / Mathematics Geometry Real Functions Mathematical Modeling and Industrial Mathematics Computational Mathematics and Numerical Analysis Informatik Mathematik Optimierung (DE-588)4043664-0 gnd Großes System (DE-588)4022184-2 gnd |
| subject_GND | (DE-588)4043664-0 (DE-588)4022184-2 (DE-588)1071861417 |
| title | Large Scale Optimization State of the Art |
| title_auth | Large Scale Optimization State of the Art |
| title_exact_search | Large Scale Optimization State of the Art |
| title_full | Large Scale Optimization State of the Art edited by W. W. Hager, D. W. Hearn, P. M. Pardalos |
| title_fullStr | Large Scale Optimization State of the Art edited by W. W. Hager, D. W. Hearn, P. M. Pardalos |
| title_full_unstemmed | Large Scale Optimization State of the Art edited by W. W. Hager, D. W. Hearn, P. M. Pardalos |
| title_short | Large Scale Optimization |
| title_sort | large scale optimization state of the art |
| title_sub | State of the Art |
| topic | Mathematics Computer science / Mathematics Geometry Real Functions Mathematical Modeling and Industrial Mathematics Computational Mathematics and Numerical Analysis Informatik Mathematik Optimierung (DE-588)4043664-0 gnd Großes System (DE-588)4022184-2 gnd |
| topic_facet | Mathematics Computer science / Mathematics Geometry Real Functions Mathematical Modeling and Industrial Mathematics Computational Mathematics and Numerical Analysis Informatik Mathematik Optimierung Großes System Konferenzschrift |
| url | https://doi.org/10.1007/978-1-4613-3632-7 |
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