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Markov Chains and Decision Processes for Engineers and Managers / Theodore J. Sheskin

By: Material type: TextTextLanguage: English Publication details: Boca Raton, FL : CRC Press , 2011Description: xiii, 478 pages : Illustrations ; 25 cmISBN:
  • 9781420051117 (hardback)
  • 1420051113 (hardback)
Subject(s): DDC classification:
  • 658.4/033 22
LOC classification:
  • T57.95 S54 2011
Other classification:
  • TEC029000 | MAT029010 | TEC016000
Summary: "This book presents an introduction to finite Markov chains and Markov decision processes, with applications in engineering and management. It introduces discrete-time, finite-state Markov chains, and Markov decision processes. The text describes both algorithms and applications, enabling students to understand the logical basis for the algorithms and be able to apply them. The applications address problems in government, business, and nonprofit sectors. The author uses Markov models to approximate the random behavior of complex systems in diverse areas, such as management, production, science, education, health services, finance, and marketing"-- Provided by publisher.
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Holdings
Item type Current library Call number Copy number Status Barcode
Books Books Fayza Aboulnaga Central Library | مكتبة فايزة أبو النجا المركزية بالحرم الجامعي T57.95 .S54 2011 (Browse shelf(Opens below)) C. 1 Available 10011487
Books Books Fayza Aboulnaga Central Library | مكتبة فايزة أبو النجا المركزية بالحرم الجامعي T57.95 .S54 2011 (Browse shelf(Opens below)) C. 2 Available 10011192

Includes bibliographical references and index.

"This book presents an introduction to finite Markov chains and Markov decision processes, with applications in engineering and management. It introduces discrete-time, finite-state Markov chains, and Markov decision processes. The text describes both algorithms and applications, enabling students to understand the logical basis for the algorithms and be able to apply them. The applications address problems in government, business, and nonprofit sectors. The author uses Markov models to approximate the random behavior of complex systems in diverse areas, such as management, production, science, education, health services, finance, and marketing"-- Provided by publisher.

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