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.
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 452 pp. Englisch. N° de réf. du vendeur 9780792369516
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Etat : New. 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, telecommunicat. N° de réf. du vendeur 5969807
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Buch. Etat : Neu. Stochastic Optimization | Algorithms and Applications | Stanislav Uryasev (u. a.) | Buch | Applied Optimization | xii | Englisch | 2001 | Springer | EAN 9780792369516 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 102549787
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Etat : New. Stochastic programming is the study of procedures for decision making under the presence of uncertainties and risks. Stochastic programming approaches have been used in a number of areas such as energy and production planning, telecommunications, and transportation. This book serves as supplementary reading in related courses. Editor(s): Uryasev, Stanislav; Pardalos, Panos M. Series: Applied Optimization. Num Pages: 447 pages, biography. BIC Classification: TGP; TJFM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 25. Weight in Grams: 807. . 2001. 2001st Edition. hardcover. . . . . N° de réf. du vendeur V9780792369516
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 452 pp. Englisch. N° de réf. du vendeur 9780792369516
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9780792369516
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Vendeur : Books Puddle, Woodside, NY, Etats-Unis
Etat : New. pp. 452. N° de réf. du vendeur 26295904
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