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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 368 | Sprache: Englisch | Produktart: Bücher | Matrix-analytic methods (MAM) were introduced by Professor Marcel Neuts and have been applied to a variety of stochastic models since. In order to provide a clear and deep understanding of MAM while showing their power, this book presents MAM concepts and explains the results using a number of worked-out examples.This book's approach will inform and kindle the interest of researchers attracted to this fertile field. To allow readers to practice and gain experience in the algorithmic and computational procedures of MAM, Introduction to Matrix Analytic Methods in Queues 1 provides a number of computational exercises. It also incorporates simulation as another tool for studying complex stochastic models, especially when the state space of the underlying stochastic models under analytic study grows exponentially.The book's detailed approach will make it more accessible for readers interested in learning about MAM in stochastic models.
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In den WarenkorbGebunden. Zustand: New. Srinivas R. Chakravarthy retired from Kettering University in Michigan, USA after serving as Professor of Mathematics, and as Professor and Head of Industrial and Manufacturing Engineering. He was bestowed the Distinguished Faculty (Kettering s Faculty and .
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In den WarenkorbHardcover. Zustand: Brand New. 368 pages. 9.61x6.38x1.02 inches. In Stock.
Sprache: Englisch
Verlag: ISTE Ltd and John Wiley & Sons Inc, 2022
ISBN 10: 1786307324 ISBN 13: 9781786307323
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In den WarenkorbZustand: New. 2022. 1st Edition. Hardback. . . . . . Books ship from the US and Ireland.
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Buch. Zustand: Neu. Neuware - Matrix-analytic methods (MAM) were introduced by Professor Marcel Neuts and have been applied to a variety of stochastic models since. In order to provide a clear and deep understanding of MAM while showing their power, this book presents MAM concepts and explains the results using a number of worked-out examples.This book's approach will inform and kindle the interest of researchers attracted to this fertile field. To allow readers to practice and gain experience in the algorithmic and computational procedures of MAM, Introduction to Matrix Analytic Methods in Queues 1 provides a number of computational exercises. It also incorporates simulation as another tool for studying complex stochastic models, especially when the state space of the underlying stochastic models under analytic study grows exponentially.The book's detailed approach will make it more accessible for readers interested in learning about MAM in stochastic models.