Stochastic Optimization: Algorithms and Applications:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boston, MA
Springer US
2001
|
Schriftenreihe: | Applied Optimization
54 |
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | Stochastic programming is the study of procedures for decision making under the presence of uncertainties and risks. Stochastic programming approaches have been successfully used in a number of areas such as energy and production planning, telecommunications, and transportation. Recently, the practical experience gained in stochastic programming has been expanded to a much larger spectrum of applications including financial modeling, risk management, and probabilistic risk analysis. Major topics in this volume include: (1) advances in theory and implementation of stochastic programming algorithms; (2) sensitivity analysis of stochastic systems; (3) stochastic programming applications and other related topics. Audience: Researchers and academies working in optimization, computer modeling, operations research and financial engineering. The book is appropriate as supplementary reading in courses on optimization and financial engineering |
Beschreibung: | 1 Online-Ressource (XII, 435 p) |
ISBN: | 9781475765946 9781441948557 |
ISSN: | 1384-6485 |
DOI: | 10.1007/978-1-4757-6594-6 |
Internformat
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author | Uryasev, Stanislav |
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discipline | Mathematik |
doi_str_mv | 10.1007/978-1-4757-6594-6 |
format | Electronic eBook |
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isbn | 9781475765946 9781441948557 |
issn | 1384-6485 |
language | English |
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spelling | Uryasev, Stanislav Verfasser aut Stochastic Optimization: Algorithms and Applications edited by Stanislav Uryasev, Panos M. Pardalos Boston, MA Springer US 2001 1 Online-Ressource (XII, 435 p) txt rdacontent c rdamedia cr rdacarrier Applied Optimization 54 1384-6485 Stochastic programming is the study of procedures for decision making under the presence of uncertainties and risks. Stochastic programming approaches have been successfully used in a number of areas such as energy and production planning, telecommunications, and transportation. Recently, the practical experience gained in stochastic programming has been expanded to a much larger spectrum of applications including financial modeling, risk management, and probabilistic risk analysis. Major topics in this volume include: (1) advances in theory and implementation of stochastic programming algorithms; (2) sensitivity analysis of stochastic systems; (3) stochastic programming applications and other related topics. Audience: Researchers and academies working in optimization, computer modeling, operations research and financial engineering. The book is appropriate as supplementary reading in courses on optimization and financial engineering Mathematics Electronic data processing Mathematical optimization Operations research Calculus of Variations and Optimal Control; Optimization Operation Research/Decision Theory Finance/Investment/Banking Mathematical Modeling and Industrial Mathematics Numeric Computing Datenverarbeitung Mathematik Stochastische Optimierung (DE-588)4057625-5 gnd rswk-swf 1\p (DE-588)1071861417 Konferenzschrift 2000 Gainesville Fla. gnd-content Stochastische Optimierung (DE-588)4057625-5 s 2\p DE-604 Pardalos, Panos M. Sonstige oth https://doi.org/10.1007/978-1-4757-6594-6 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Uryasev, Stanislav Stochastic Optimization: Algorithms and Applications Mathematics Electronic data processing Mathematical optimization Operations research Calculus of Variations and Optimal Control; Optimization Operation Research/Decision Theory Finance/Investment/Banking Mathematical Modeling and Industrial Mathematics Numeric Computing Datenverarbeitung Mathematik Stochastische Optimierung (DE-588)4057625-5 gnd |
subject_GND | (DE-588)4057625-5 (DE-588)1071861417 |
title | Stochastic Optimization: Algorithms and Applications |
title_auth | Stochastic Optimization: Algorithms and Applications |
title_exact_search | Stochastic Optimization: Algorithms and Applications |
title_full | Stochastic Optimization: Algorithms and Applications edited by Stanislav Uryasev, Panos M. Pardalos |
title_fullStr | Stochastic Optimization: Algorithms and Applications edited by Stanislav Uryasev, Panos M. Pardalos |
title_full_unstemmed | Stochastic Optimization: Algorithms and Applications edited by Stanislav Uryasev, Panos M. Pardalos |
title_short | Stochastic Optimization: Algorithms and Applications |
title_sort | stochastic optimization algorithms and applications |
topic | Mathematics Electronic data processing Mathematical optimization Operations research Calculus of Variations and Optimal Control; Optimization Operation Research/Decision Theory Finance/Investment/Banking Mathematical Modeling and Industrial Mathematics Numeric Computing Datenverarbeitung Mathematik Stochastische Optimierung (DE-588)4057625-5 gnd |
topic_facet | Mathematics Electronic data processing Mathematical optimization Operations research Calculus of Variations and Optimal Control; Optimization Operation Research/Decision Theory Finance/Investment/Banking Mathematical Modeling and Industrial Mathematics Numeric Computing Datenverarbeitung Mathematik Stochastische Optimierung Konferenzschrift 2000 Gainesville Fla. |
url | https://doi.org/10.1007/978-1-4757-6594-6 |
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