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Sinopsis
This book explores discrete-time dynamic optimization and provides a detailed introduction to both deterministic and stochastic models. Covering problems with finite and infinite horizon, as well as Markov renewal programs, Bayesian control models and partially observable processes, the book focuses on the precise modelling of applications in a variety of areas, including operations research, computer science, mathematics, statistics, engineering, economics and finance.
Dynamic Optimization is a carefully presented textbook which starts with discrete-time deterministic dynamic optimization problems, providing readers with the tools for sequential decision-making, before proceeding to the more complicated stochastic models. The authors present complete and simple proofs and illustrate the main results with numerous examples and exercises (without solutions). With relevant material covered in four appendices, this book is completely self-contained.
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Acerca del autor
Karl Hinderer was Professor of Stochastics at the Karlsruhe Institute of Technology KIT. He wrote the seminal book Foundations of Non-stationary Dynamic Programming with Discrete Time Parameter (1970) and the textbook Grundbegriffe der Wahrscheinlichkeitstheorie (1972). His main research areas were stochastic dynamic programming, probability and stochastic processes.
Ulrich Rieder is Professor emeritus at the University of Ulm. From 1990 to 2008, he was Editor-in-Chief of Mathematical Methods of Operations Research. His main research areas include stochastic dynamic programming and control, risk-sensitive Markov decision processes, stochastic games, and financial optimization.
De la contraportada
This book explores discrete-time dynamic optimization and provides a detailed introduction to both deterministic and stochastic models. Covering problems with finite and infinite horizon, as well as Markov renewal programs, Bayesian control models and partially observable processes, the book focuses on the precise modelling of applications in a variety of areas, including operations research, computer science, mathematics, statistics, engineering, economics and finance.
Dynamic Optimization is a carefully presented textbook which starts with discrete-time deterministic dynamic optimization problems, providing readers with the tools for sequential decision-making, before proceeding to the more complicated stochastic models. The authors present complete and simple proofs and illustrate the main results with numerous examples and exercises (without solutions). With relevant material covered in four appendices, this book is completely self-contained.
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Dynamic Optimization: Deterministic and Stochastic Models (Universitext).
Publicado por
Springer International Publishing, 2016
ISBN 10: 3319488139
ISBN 13: 9783319488134
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Librería: Antiquariat Bernhardt, Kassel, Alemania
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Broschiert. Condición: Sehr gut. Zust.: Sehr gutes Exemplar. XXII, 527 Seiten, Englisch 862g. Nº de ref. del artículo: 492376
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Dynamic Optimization
Publicado por
Springer International Publishing, 2017
ISBN 10: 3319488139
ISBN 13: 9783319488134
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a self-contained and easy-to-read introduction to dynamic programmingProvides a comprehensive treatment of discrete-time multistage optimizationPresents the theory of Markov decision processe. Nº de ref. del artículo: 130627828
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Dynamic Optimization: Deterministic and Stochastic Models (Universitext)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Condición: New. In English. Nº de ref. del artículo: ria9783319488134_new
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Dynamic Optimization
Publicado por
Springer International Publishing Jan 2017, 2017
ISBN 10: 3319488139
ISBN 13: 9783319488134
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores discrete-time dynamic optimization and provides a detailed introduction to both deterministic and stochastic models. Covering problems with finite and infinite horizon, as well as Markov renewal programs, Bayesian control models and partially observable processes, the book focuses on the precise modelling of applications in a variety of areas, including operations research, computer science, mathematics, statistics, engineering, economics and finance.Dynamic Optimization is a carefully presented textbook which starts with discrete-time deterministic dynamic optimization problems, providing readers with the tools for sequential decision-making, before proceeding to the more complicated stochastic models. The authors present complete and simple proofs and illustrate the main results with numerous examples and exercises (without solutions). With relevant material covered in four appendices, this book is completely self-contained. 552 pp. Englisch. Nº de ref. del artículo: 9783319488134
Cantidad disponible: 1 disponibles
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Dynamic Optimization : Deterministic and Stochastic Models
Publicado por
Springer International Publishing, 2017
ISBN 10: 3319488139
ISBN 13: 9783319488134
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores discrete-time dynamic optimization and provides a detailed introduction to both deterministic and stochastic models. Covering problems with finite and infinite horizon, as well as Markov renewal programs, Bayesian control models and partially observable processes, the book focuses on the precise modelling of applications in a variety of areas, including operations research, computer science, mathematics, statistics, engineering, economics and finance.Dynamic Optimization is a carefully presented textbook which starts with discrete-time deterministic dynamic optimization problems, providing readers with the tools for sequential decision-making, before proceeding to the more complicated stochastic models. The authors present complete and simple proofs and illustrate the main results with numerous examples and exercises (without solutions). With relevant material covered in four appendices, this book is completely self-contained. Nº de ref. del artículo: 9783319488134
Cantidad disponible: 1 disponibles
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Dynamic Optimization: Deterministic and Stochastic Models (Universitext)
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Dynamic Optimization
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Springer International Publishing, Springer International Publishing Jan 2017, 2017
ISBN 10: 3319488139
ISBN 13: 9783319488134
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. Neuware -This book explores discrete-time dynamic optimization and provides a detailed introduction to both deterministic and stochastic models. Covering problems with finite and infinite horizon, as well as Markov renewal programs, Bayesian control models and partially observable processes, the book focuses on the precise modelling of applications in a variety of areas, including operations research, computer science, mathematics, statistics, engineering, economics and finance.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 552 pp. Englisch. Nº de ref. del artículo: 9783319488134
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Dynamic Optimization: Deterministic and Stochastic Models (Universitext)
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Dynamic Optimization: Deterministic and Stochastic Models (Universitext)
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Dynamic Optimization: Deterministic and Stochastic Models
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Paperback. Condición: Brand New. 552 pages. 9.00x6.00x1.25 inches. In Stock. Nº de ref. del artículo: x-3319488139
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