Над 4 милиона заглавия на английски и други езици! Открийте новата си история още днес! Безплатна доставка за поръчки над 69.99€

Виж статуса на поръчката

Свържете се с нас

Decision Theory - An Introduction to Dynamic Programming & Sequential Decisions

Автор: John Bather

Език:

Корици: С твърди корици

Издател: John Wiley & Sons Inc

Наличност: Външен склад

Изпращаме след 10-18 дни

245.93 € 481.00 лв

Decision Theory An Introduction to Dynamic Programming and Sequential Decisions John Bather Universi...

Информация за книгата

Автор

John Bather

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2000

страници

204

EAN

9780471976486

ISBN

0471976482

Enbook ID

04895223

Издател

John Wiley & Sons Inc

Теглоt

450

Размери

297 x 162 x 17

Пълно описание

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.