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Multistage Stochastic Optimization
Taschenbuch von Alois Pichler (u. a.)
Sprache: Englisch

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Beschreibung
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.
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.
Über den Autor

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.
Zusammenfassung

Provides the first comprehensive treatment of multistage stochastic decision problems

Presents a rigorous treatment of scenario generation methods using distance concepts

Contains new concepts of time-consistent decision making

Showcases the influence of model ambiguity to the decision process

Includes supplementary material: [...]

Inhaltsverzeichnis
Introduction.- The Nested Distance.- Risk and Utility Functionals.- From Data to Models.- Time Consistency.- Approximations and Bounds.- The Problem of Ambiguity in Stochastic Optimization.- Examples.
Details
Erscheinungsjahr: 2016
Fachbereich: Allgemeines
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Seiten: 316
Reihe: Springer Series in Operations Research and Financial Engineering
Inhalt: xiv
301 S.
81 s/w Illustr.
301 p. 81 illus.
ISBN-13: 9783319382678
ISBN-10: 3319382675
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Pichler, Alois
Pflug, Georg Ch.
Auflage: Softcover reprint of the original 1st ed. 2014
Hersteller: Springer International Publishing
Springer International Publishing AG
Springer Series in Operations Research and Financial Engineering
Maße: 235 x 155 x 18 mm
Von/Mit: Alois Pichler (u. a.)
Erscheinungsdatum: 23.08.2016
Gewicht: 0,482 kg
preigu-id: 103554144
Über den Autor

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.
Zusammenfassung

Provides the first comprehensive treatment of multistage stochastic decision problems

Presents a rigorous treatment of scenario generation methods using distance concepts

Contains new concepts of time-consistent decision making

Showcases the influence of model ambiguity to the decision process

Includes supplementary material: [...]

Inhaltsverzeichnis
Introduction.- The Nested Distance.- Risk and Utility Functionals.- From Data to Models.- Time Consistency.- Approximations and Bounds.- The Problem of Ambiguity in Stochastic Optimization.- Examples.
Details
Erscheinungsjahr: 2016
Fachbereich: Allgemeines
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Seiten: 316
Reihe: Springer Series in Operations Research and Financial Engineering
Inhalt: xiv
301 S.
81 s/w Illustr.
301 p. 81 illus.
ISBN-13: 9783319382678
ISBN-10: 3319382675
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Pichler, Alois
Pflug, Georg Ch.
Auflage: Softcover reprint of the original 1st ed. 2014
Hersteller: Springer International Publishing
Springer International Publishing AG
Springer Series in Operations Research and Financial Engineering
Maße: 235 x 155 x 18 mm
Von/Mit: Alois Pichler (u. a.)
Erscheinungsdatum: 23.08.2016
Gewicht: 0,482 kg
preigu-id: 103554144
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