Paperback. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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D�tails bibliographiques

Titre: Decision Theory (Paperback)
�diteur: John Wiley & Sons Inc, New York
Date de parution: 2000
Langue: anglais
ISBN � 10 chiffres: 0471976490
ISBN � 13 chiffres: 9780471976493
Reliure: Paperback
�dition: Edition originale
�tat de l'article: new

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Synopsis

Die Anwendung des Induktionsprinzips auf die L�sung von Optimierungsproblemen ist gegenw�rtig gefragt und wird viel diskutiert. Der Autor dieses Bandes beginnt bei einem historischen Abri� und beschreibt anschlie�end deterministische Modelle, in denen die Wahl zwischen zwei M�glichkeiten nicht vom Zufall beeinflu�t wird. Im zweiten Teil wird der Unsicherheitsfaktor einbezogen; der dritte Teil befa�t sich mit speziellen, fortgeschrittenen Anwendungen, beispielsweise Markov-Prozessen. (04/00)

� propos de l?auteur

John Bather is the author of Decision Theory: An Introduction to Dynamic Programming and Sequential Decisions, published by Wiley.

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