Decision Theory

John Bather

Editore: Wiley-Blackwell, 2000
ISBN 10: 0471976482 / ISBN 13: 9780471976486
Usato / Hardcover / Quantità: 0
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Riassunto: Decision Theory An Introduction to Dynamic Programming and Sequential Decisions John Bather University of Sussex, UK Mathematical induction, and its use in solving optimization problems, is a topic of great interest with many applications. It enables us to study multistage decision problems by proceeding backwards in time, using a method called dynamic programming. All the techniques needed to solve the various problems are explained, and the author's fluent style will leave the reader with an avid interest in the subject.
* Tailored to the needs of students of optimization and decision theory
* Written in a lucid style with numerous examples and applications
* Coverage of deterministic models: maximizing utilities, directed networks, shortest paths, critical path analysis, scheduling and convexity
* Coverage of stochastic models: stochastic dynamic programming, optimal stopping problems and other special topics
* Coverage of advanced topics: Markov decision processes, minimizing expected costs, policy improvements and problems with unknown statistical parameters
* Contains exercises at the end of each chapter, with hints in an appendix
Aimed primarily at students of mathematics and statistics, the lucid text will also appeal to engineering and science students and those working in the areas of optimization and operations research.

From the Back Cover: Mathematical induction, and its use in solving optimization problems, is a topic of great interest with many applications. It enables us to study multi-stage decision problems by proceeding backwards in time, using a method called dynamic programming. All the techniques needed to solve the various problems are explained, and the author?s fluent style will leave the reader with an avid interest in the subject.

  • Tailored to the needs of students of optimization and decision theory
  • Written in a lucid style with numerous examples and applications
  • Coverage of deterministic models: maximizing utilities, directed networks, shortest paths, critical path analysis, scheduling and convexity
  • Coverage of stochastic models: stochastic dynamic programming, optimal stopping problems and other special topics
  • Coverage of advanced topics: Markov decision processes, minimizing expected costs, policy improvements and problems with unknown statistical parameters
  • Contains exercises at the end of each chapter, with hints in an appendix
Aimed primarily at students of mathematics and statistics, the lucid text will also appeal to engineering and science students and those working in the areas of optimization and operations research.

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Dati bibliografici

Titolo: Decision Theory
Casa editrice: Wiley-Blackwell
Data di pubblicazione: 2000
Legatura: Hardcover
Condizione libro: New

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Descrizione libro John Wiley and Sons Ltd, United Kingdom, 2000. Hardback. Condizione libro: New. Language: English . Brand New Book. Decision Theory An Introduction to Dynamic Programming and Sequential Decisions John Bather University of Sussex, UK Mathematical induction, and its use in solving optimization problems, is a topic of great interest with many applications. It enables us to study multistage decision problems by proceeding backwards in time, using a method called dynamic programming. All the techniques needed to solve the various problems are explained, and the author s fluent style will leave the reader with an avid interest in the subject. Tailored to the needs of students of optimization and decision theory Written in a lucid style with numerous examples and applications Coverage of deterministic models: maximizing utilities, directed networks, shortest paths, critical path analysis, scheduling and convexity Coverage of stochastic models: stochastic dynamic programming, optimal stopping problems and other special topics Coverage of advanced topics: Markov decision processes, minimizing expected costs, policy improvements and problems with unknown statistical parameters Contains exercises at the end of each chapter, with hints in an appendix Aimed primarily at students of mathematics and statistics, the lucid text will also appeal to engineering and science students and those working in the areas of optimization and operations research. Codice libro della libreria AAH9780471976486

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Descrizione libro John Wiley and Sons Ltd, United Kingdom, 2000. Hardback. Condizione libro: New. Language: English . Brand New Book. Decision Theory An Introduction to Dynamic Programming and Sequential Decisions John Bather University of Sussex, UK Mathematical induction, and its use in solving optimization problems, is a topic of great interest with many applications. It enables us to study multistage decision problems by proceeding backwards in time, using a method called dynamic programming. All the techniques needed to solve the various problems are explained, and the author s fluent style will leave the reader with an avid interest in the subject. Tailored to the needs of students of optimization and decision theory Written in a lucid style with numerous examples and applications Coverage of deterministic models: maximizing utilities, directed networks, shortest paths, critical path analysis, scheduling and convexity Coverage of stochastic models: stochastic dynamic programming, optimal stopping problems and other special topics Coverage of advanced topics: Markov decision processes, minimizing expected costs, policy improvements and problems with unknown statistical parameters Contains exercises at the end of each chapter, with hints in an appendix Aimed primarily at students of mathematics and statistics, the lucid text will also appeal to engineering and science students and those working in the areas of optimization and operations research. Codice libro della libreria AAH9780471976486

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Descrizione libro Wiley 2000-05-30, Chichester, 2000. hardback. Condizione libro: New. Codice libro della libreria 9780471976486

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Descrizione libro John Wiley and Sons Ltd. Hardback. Condizione libro: new. BRAND NEW, Decision Theory: An Introduction to Dynamic Programming and Sequential Decisions, John Bather, Decision Theory An Introduction to Dynamic Programming and Sequential Decisions John Bather University of Sussex, UK Mathematical induction, and its use in solving optimization problems, is a topic of great interest with many applications. It enables us to study multistage decision problems by proceeding backwards in time, using a method called dynamic programming. All the techniques needed to solve the various problems are explained, and the author's fluent style will leave the reader with an avid interest in the subject. Tailored to the needs of students of optimization and decision theory Written in a lucid style with numerous examples and applications Coverage of deterministic models: maximizing utilities, directed networks, shortest paths, critical path analysis, scheduling and convexity Coverage of stochastic models: stochastic dynamic programming, optimal stopping problems and other special topics Coverage of advanced topics: Markov decision processes, minimizing expected costs, policy improvements and problems with unknown statistical parameters Contains exercises at the end of each chapter, with hints in an appendix Aimed primarily at students of mathematics and statistics, the lucid text will also appeal to engineering and science students and those working in the areas of optimization and operations research. Codice libro della libreria B9780471976486

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Descrizione libro Wiley, 2000. Hardcover. Condizione libro: New. 1. Codice libro della libreria DADAX0471976482

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