Multistage Stochastic Optimization - Couverture souple

Livre 28 sur 43: Springer Series in Operations Research and Financial Engineering

Pflug, Georg Ch. Ch.; Pichler, Alois

9783319382678: Multistage Stochastic Optimization

Couverture souple

ISBN 10 : 3319382675 ISBN 13 : 9783319382678

Editeur : Springer, 2016

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Multistage stochastic optimization problems appear in many ways in finance, insurance, energy production and trading, logistics and transportation, among other areas. They describe decision situations under uncertainty and with a longer planning horizon. This book contains a comprehensive treatment of today’s state of the art in multistage stochastic optimization. It covers the mathematical backgrounds of approximation theory as well as numerous practical algorithms and examples for the generation and handling of scenario trees. A special emphasis is put on estimation and bounding of the modeling error using novel distance concepts, on time consistency and the role of model ambiguity in the decision process. An extensive treatment of examples from electricity production, asset liability management and inventory control concludes the book.

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� propos de l?auteur

Georg Pflug is full professor of Statistics and Operations Research at the University of Vienna, Austria. He got a PhD in Mathematics from the University of Vienna and was Professor of Mathematics at the University of Giessen, Germany, before joining the University of Vienna as a full professor. He is author of 4 books and more than 80 peer reviewed articles. He is also editor of several books and special issues of journals.

Alois Pichler holds a PhD in economic sciences and master degrees in mathematics and physics. He has gathered business experience in different positions in the insurance and banking industry, including managerial positions. He is with the Norwegian University of Science and Technology and his scientific work is dedicated to mathematical properties of risk measures with a particular focus on their relation to insurance, and to optimization under uncertainty.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2016
Langue: anglais
ISBN 10: 3319382675
ISBN 13: 9783319382678
Reliure: Broch�
Nombre de pages: 316
Coordonn�es du fabricant: ProductSafety@springernature.com
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Multistage Stochastic Optimization (eng)

Pflug, Georg Ch.

Edit� par Springer, 2016

ISBN 10 : 3319382675 ISBN 13 : 9783319382678

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Multistage Stochastic Optimization

Georg Ch. Pflug

Edit� par Springer, Springer Aug 2016, 2016

ISBN 10 : 3319382675 ISBN 13 : 9783319382678

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Multistage stochastic optimization problems appear in many ways in finance, insurance, energy production and trading, logistics and transportation, among other areas. They describe decision situations under uncertainty and with a longer planning horizon. This book contains a comprehensive treatment of today's state of the art in multistage stochastic optimization. It covers the mathematical backgrounds of approximation theory as well as numerous practical algorithms and examples for the generation and handling of scenario trees. A special emphasis is put on estimation and bounding of the modeling error using novel distance concepts, on time consistency and the role of model ambiguity in the decision process. An extensive treatment of examples from electricity production, asset liability management and inventory control concludes the book. 316 pp. Englisch. N� de r�f. du vendeur 9783319382678

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Multistage Stochastic Optimization

Georg Ch. Pflug|Alois Pichler

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides the first comprehensive treatment of multistage stochastic decision problemsPresents a rigorous treatment of scenario generation methods using distance concepts Contains new concepts of time-consistent decision makingShowcas. N� de r�f. du vendeur 448748981

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Multistage Stochastic Optimization

Georg Ch. Pflug (u. a.)

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ISBN 10 : 3319382675 ISBN 13 : 9783319382678

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Multistage Stochastic Optimization (Springer Series in Operations Research and Financial Engineering)

Pflug, Georg Ch. Ch.; Pichler, Alois

Edit� par Springer, 2016

ISBN 10 : 3319382675 ISBN 13 : 9783319382678

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Etat : New. pp. 301. N� de r�f. du vendeur 26374954923

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Multistage Stochastic Optimization

Georg Ch. Pflug

Edit� par Springer, Springer Aug 2016, 2016

ISBN 10 : 3319382675 ISBN 13 : 9783319382678

Neuf Taschenbuch

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Multistage stochastic optimization problems appear in many ways in finance, insurance, energy production and trading, logistics and transportation, among other areas. They describe decision situations under uncertainty and with a longer planning horizon. This book contains a comprehensive treatment of today�s state of the art in multistage stochastic optimization. It covers the mathematical backgrounds of approximation theory as well as numerous practical algorithms and examples forthe generation and handling of scenario trees. A special emphasis is put on estimation and bounding of the modeling error using novel distance concepts, on time consistency and the role of model ambiguity in the decision process. An extensive treatment of examples fromelectricity production, asset liability management and inventory control concludes the book.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 316 pp. Englisch. N� de r�f. du vendeur 9783319382678

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Multistage Stochastic Optimization

Georg Ch. Pflug

Edit� par Springer, Springer, 2016

ISBN 10 : 3319382675 ISBN 13 : 9783319382678

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Multistage stochastic optimization problems appear in many ways in finance, insurance, energy production and trading, logistics and transportation, among other areas. They describe decision situations under uncertainty and with a longer planning horizon. This book contains a comprehensive treatment of today's state of the art in multistage stochastic optimization. It covers the mathematical backgrounds of approximation theory as well as numerous practical algorithms and examples for the generation and handling of scenario trees. A special emphasis is put on estimation and bounding of the modeling error using novel distance concepts, on time consistency and the role of model ambiguity in the decision process. An extensive treatment of examples from electricity production, asset liability management and inventory control concludes the book. N� de r�f. du vendeur 9783319382678

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