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Introduction to Matrix Analytic Methods in Stochastic Modeling Paperback: 5 (ASA-SIAM Series on Statistics and Applied Probability, Series Number 5) - Tapa blanda
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Presents the basic mathematical ideas and algorithms of the matrix analytic theory in a readable, up-to-date, and comprehensive manner.
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Matrix analytic methods are popular as modeling tools because they give one the ability to construct and analyze a wide class of queuing models in a unified and algorithmically tractable way. The authors present the basic mathematical ideas and algorithms of the matrix analytic theory in a readable, up-to-date, and comprehensive manner. In the current literature, a mixed bag of techniques is used-some probabilistic, some from linear algebra, and some from transform methods. Here, many new proofs that emphasize the unity of the matrix analytic approach are included.
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Introduction to Matrix Analytic Methods in Stochastic Modeling
Publicado por
Society for Industrial and Applied Mathematics, 1999
ISBN 10: 0898714257
ISBN 13: 9780898714258
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Introduction to Matrix Analytic Methods in Stochastic Modeling
Publicado por
Society for Industrial and Applied Mathematics (SIAM), 1999
ISBN 10: 0898714257
ISBN 13: 9780898714258
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Introduction to Matrix Analytic Methods in Stochastic Modeling: 5 (ASA-SIAM Series on Statistics and Applied Probability, Series Number 5)
Publicado por
Society for Industrial and Applied Mathematics, 1987
ISBN 10: 0898714257
ISBN 13: 9780898714258
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Introduction to Matrix Analytic Methods in Stochastic Modeling
Publicado por
Society for Industrial and Applied Mathematics,U.S., US, 1999
ISBN 10: 0898714257
ISBN 13: 9780898714258
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Librería: Rarewaves.com USA, London, LONDO, Reino Unido
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Paperback. Condición: New. Matrix analytic methods are popular as modeling tools because they give one the ability to construct and analyze a wide class of queuing models in a unified and algorithmically tractable way. The authors present the basic mathematical ideas and algorithms of the matrix analytic theory in a readable, up-to-date, and comprehensive manner. In the current literature, a mixed bag of techniques is used-some probabilistic, some from linear algebra, and some from transform methods. Here, many new proofs that emphasize the unity of the matrix analytic approach are included.The authors begin by describing several examples of quasi-birth-and-death (QBD) processes. These examples give the reader an idea of the variety of models which are hidden by the general block notation as well as reinforce some of the terminology and notation used throughout the text. These same examples are used as illustrations later. The second part of the book deals with phase-type distributions and related-point processes, which provide a versatile set of tractable models for applied probability. Part three reviews birth-and-death processes, and points out that the arguments for these processes carry over to more general processes in a parallel manner and are based on Markov renewal theory.Part four covers material where algorithmic and probabilistic reasoning are most intimately connected. In three steps, the authors take you from one of the simplest iterative procedures to the fastest, relating the successive approximations to the dynamic behavior of the stochastic process itself. The final part goes beyond simple QBDs with a sequence of short chapters where the authors discuss various extensions to the analyzed processes. Their intention is to show that the fundamental ideas extend beyond simple homogeneous QBD. Nº de ref. del artículo: LU-9780898714258
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Introduction to Matrix Analytic Methods in Stochastic Modeling
Publicado por
Society for Industrial & Applied, 1999
ISBN 10: 0898714257
ISBN 13: 9780898714258
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Introduction to Matrix Analytic Methods in Stochastic Modeling
Publicado por
Society for Industrial & Applied Mathematics,U.S., 1987
ISBN 10: 0898714257
ISBN 13: 9780898714258
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Introduction to Matrix Analytic Methods in Stochastic Modeling: 5 (ASA-SIAM Series on Statistics and Applied Probability, Series Number 5)
Publicado por
Society for Industrial and Applied Mathematics, 1987
ISBN 10: 0898714257
ISBN 13: 9780898714258
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Condición: New. 1987. paperback. . . . . . Books ship from the US and Ireland. Nº de ref. del artículo: V9780898714258
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Latouche, G: An Introduction to Matrix Analytic Methods in S
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Society for Industrial & Applied Mathematics,U.S., 1999
ISBN 10: 0898714257
ISBN 13: 9780898714258
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Librería: moluna, Greven, Alemania
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Condición: New. KlappentextPresents the basic mathematical ideas and algorithms of the matrix analytic theory in a readable, up-to-date, and comprehensive manner. Nº de ref. del artículo: 1652654277
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Introduction to Matrix Analytic Methods in Stochastic Modeling
Publicado por
Society For Industrial And Applied Mathematics (SIAM) Jan 1987, 1987
ISBN 10: 0898714257
ISBN 13: 9780898714258
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Taschenbuch. Condición: Neu. Neuware - Matrix analytic methods are popular as modeling tools because they give one the ability to construct and analyze a wide class of queuing models in a unified and algorithmically tractable way. The authors present the basic mathematical ideas and algorithms of the matrix analytic theory in a readable, up-to-date, and comprehensive manner. In the current literature, a mixed bag of techniques is usedsome probabilistic, some from linear algebra, and some from transform methods. Here, many new proofs that emphasize the unity of the matrix analytic approach are included.The authors begin by describing several examples of quasi-birth-and-death (QBD) processes. These examples give the reader an idea of the variety of models which are hidden by the general block notation as well as reinforce some of the terminology and notation used throughout the text. These same examples are used as illustrations later. The second part of the book deals with phase-type distributions and related-point processes, which provide a versatile set of tractable models for applied probability. Part three reviews birth-and-death processes, and points out that the arguments for these processes carry over to more general processes in a parallel manner and are based on Markov renewal theory.Part four covers material where algorithmic and probabilistic reasoning are most intimately connected. In three steps, the authors take you from one of the simplest iterative procedures to the fastest, relating the successive approximations to the dynamic behavior of the stochastic process itself. The final part goes beyond simple QBDs with a sequence of short chapters where the authors discuss various extensions to the analyzed processes. Their intention is to show that the fundamental ideas extend beyond simple homogeneous QBD. Nº de ref. del artículo: 9780898714258
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Introduction to Matrix Analytic Methods in Stochastic Modeling
Publicado por
Society for Industrial and Applied Mathematics,U.S., US, 1999
ISBN 10: 0898714257
ISBN 13: 9780898714258
Nuevo
Paperback
Librería: Rarewaves.com UK, London, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: New. Matrix analytic methods are popular as modeling tools because they give one the ability to construct and analyze a wide class of queuing models in a unified and algorithmically tractable way. The authors present the basic mathematical ideas and algorithms of the matrix analytic theory in a readable, up-to-date, and comprehensive manner. In the current literature, a mixed bag of techniques is used-some probabilistic, some from linear algebra, and some from transform methods. Here, many new proofs that emphasize the unity of the matrix analytic approach are included.The authors begin by describing several examples of quasi-birth-and-death (QBD) processes. These examples give the reader an idea of the variety of models which are hidden by the general block notation as well as reinforce some of the terminology and notation used throughout the text. These same examples are used as illustrations later. The second part of the book deals with phase-type distributions and related-point processes, which provide a versatile set of tractable models for applied probability. Part three reviews birth-and-death processes, and points out that the arguments for these processes carry over to more general processes in a parallel manner and are based on Markov renewal theory.Part four covers material where algorithmic and probabilistic reasoning are most intimately connected. In three steps, the authors take you from one of the simplest iterative procedures to the fastest, relating the successive approximations to the dynamic behavior of the stochastic process itself. The final part goes beyond simple QBDs with a sequence of short chapters where the authors discuss various extensions to the analyzed processes. Their intention is to show that the fundamental ideas extend beyond simple homogeneous QBD. Nº de ref. del artículo: LU-9780898714258
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