Stochastic Optimization / Applied Optimization Bd.54 (PDF)
Algorithms and Applications
(Sprache: Englisch)
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,...
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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.
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.
Bibliographische Angaben
- 2013, 2001, 435 Seiten, Englisch
- Herausgegeben: Stanislav Uryasev, Panos M. Pardalos
- Verlag: Springer, New York
- ISBN-10: 1475765940
- ISBN-13: 9781475765946
- Erscheinungsdatum: 09.03.2013
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- Größe: 33 MB
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