Probabilistic constrained optimization methodology (13 resultados)

Hardcover. Condición: Good. 1st Edition. Hardcover, xii + 307 pages, NOT ex-library. Clean and bright interior with unmarked text, free of inscriptions and stamps, firmly bound. A small indentation in the upper outer corner of a portion of leaves; a short crease to the upper page edges. Faint dusty marks on the upper page edges externally. Issued without a dust jacket.…

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Taschenbuch. Condición: Neu. Probabilistic Constrained Optimization | Methodology and Applications | Stanislav Uryasev | Taschenbuch | Nonconvex Optimization and Its Applications | xii | Englisch | 2010 | Springer | EAN 9781441948403 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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Paperback. Condición: Brand New. 320 pages. 9.00x6.00x0.73 inches. In Stock.

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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Probabilistic and percentile/quantile functions play an important role in several applications, such as finance (Value-at-Risk), nuclear safety, and the environment. Recently, significant advances have been made in sensitivity analysis and optimization of probabilistic functions, which is the basis for construction of new efficient approaches. This book presents the state of the art in the theory of optimization of probabilistic functions and several engineering and finance applications, including material flow systems, production planning, Value-at-Risk, asset and liability management, and optimal trading strategies for financial derivatives (options). Audience: The book is a valuable source of information for faculty, students, researchers, and practitioners in financial engineering, operation research, optimization, computer science, and related areas.…

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Probabilistic and percentile/quantile functions play an important role in several applications, such as finance (Value-at-Risk), nuclear safety, and the environment. Recently, significant advances have been made in sensitivity analysis and optimization of probabilistic functions, which is the basis for construction of new efficient approaches. This book presents the state of the art in the theory of optimization of probabilistic functions and several engineering and finance applications, including material flow systems, production planning, Value-at-Risk, asset and liability management, and optimal trading strategies for financial derivatives (options). Audience: The book is a valuable source of information for faculty, students, researchers, and practitioners in financial engineering, operation research, optimization, computer science, and related areas.…