Decision Theory: An Introduction to Dynamic Programming and Sequential Decisions / Edition 1

Decision Theory: An Introduction to Dynamic Programming and Sequential Decisions / Edition 1

by John Bather, J. a. Bather, Bather
     
 

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ISBN-10: 0471976490

ISBN-13: 9780471976493

Pub. Date: 08/03/2000

Publisher: Wiley

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.

Overview

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.

Product Details

ISBN-13:
9780471976493
Publisher:
Wiley
Publication date:
08/03/2000
Series:
Wiley Interscience Series in Systems and Optimization Series, #11
Pages:
204
Product dimensions:
6.02(w) x 9.04(h) x 0.42(d)

Table of Contents

DETERMINISTIC MODELS.

Multi-Stage Decision Problems.

Networks.

Further Applications.

Convexity.

STOCHASTIC MODELS.

Markov Systems.

Optimal Stopping.

Special Problems.

MARKOV DECISION PROCESSES.

General Theory.

Minimizing Average Costs.

Statistical Decisions.

Notes on the Exercises.

References.

Index.

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