9780471976486 - Decision Theory: An Introduction to Dynamic Programming and Sequential Decisions: 10 (Wiley Interscience Series in Systems and Optimization) de Bather (23 resultados)

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: good. A good reading copy. May contain markings or be a withdrawn library copy.

Condición: New.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

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Condición: As New. Unread book in perfect condition.

Hardcover. Condición: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardback. Condición: New. 1st. Die Anwendung des Induktionsprinzips auf die Lösung von Optimierungsproblemen ist gegenwärtig gefragt und wird viel diskutiert. Der Autor dieses Bandes beginnt bei einem historischen Abriß und beschreibt anschließend deterministische Modelle, in denen die Wahl zwischen zwei Möglichkeiten nicht vom Zufall beeinflußt wird. Im zweiten Teil wird der Unsicherheitsfaktor einbezogen; der dritte Teil befaßt sich mit speziellen, fortgeschrittenen Anwendungen, beispielsweise Markov-Prozessen. (04/00).

Hardcover. Condición: new. Hardcover. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condición: New. pp. 204.

Gebunden. Condición: New. Reflecting the current high level of interest in the application of the principle of mathematical induction to the solution of optimization problems, this book offers a comprehensive introduction to the field.&Uumlber den AutorJo.

Condición: New. pp. 204 1st Edition.

Condición: New. Reflecting the current high level of interest in the application of the principle of mathematical induction to the solution of optimization problems, this book offers a comprehensive introduction to the field. Series: Wiley Interscience Series in Systems & Optimization. Num Pages: 204 pages, black & white illustrations. BIC Classification: PBC; PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 162 x 297 x 17. Weight in Grams: 450. . 2000. 1st Edition. Hardcover. . . . .

Hardback. Condición: New. 1st. Die Anwendung des Induktionsprinzips auf die Lösung von Optimierungsproblemen ist gegenwärtig gefragt und wird viel diskutiert. Der Autor dieses Bandes beginnt bei einem historischen Abriß und beschreibt anschließend deterministische Modelle, in denen die Wahl zwischen zwei Möglichkeiten nicht vom Zufall beeinflußt wird. Im zweiten Teil wird der Unsicherheitsfaktor einbezogen; der dritte Teil befaßt sich mit speziellen, fortgeschrittenen Anwendungen, beispielsweise Markov-Prozessen. (04/00).

Hardcover. Condición: Brand New. 1st edition. 191 pages. 9.00x6.00x0.50 inches. In Stock.

Condición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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.

Condición: New. Reflecting the current high level of interest in the application of the principle of mathematical induction to the solution of optimization problems, this book offers a comprehensive introduction to the field. Series: Wiley Interscience Series in Systems & Optimization. Num Pages: 204 pages, black & white illustrations. BIC Classification: PBC; PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 162 x 297 x 17. Weight in Grams: 450. . 2000. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Buch. Condición: Neu. Neuware - 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.

Hardcover. Condición: new. Hardcover. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

hardcover. Condición: New. In shrink wrap. Looks like an interesting title!

Hardcover. Condición: Brand New. 1st edition. 191 pages. 9.00x6.00x0.50 inches. In Stock. This item is printed on demand.