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"Constructive Computation in Stochastic Models with Applications: The RG-Factorizations" provides a unified, constructive and algorithmic framework for numerical computation of many practical stochastic systems. It summarizes recent important advances in computational study of stochastic models from several crucial directions, such as stationary computation, transient solution, asymptotic analysis, reward processes, decision processes, sensitivity analysis as well as game theory. Graduate students, researchers and practicing engineers in the field of operations research, management sciences, applied probability, computer networks, manufacturing systems, transportation systems, insurance and finance, risk management and biological sciences will find this book valuable.
Dr. Quan-Lin Li is an Associate Professor at the Department of Industrial Engineering of Tsinghua University, China.
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Dr. Quan-Lin Li is an Associate Professor at the Department of Industrial Engineering of Tsinghua University, China.
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Constructive Computation in Stochastic Models with Applications : The RG-Factorizations
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Springer-Verlag GmbH, 2010
ISBN 10: 3642114911
ISBN 13: 9783642114915
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Librería: Buchpark, Trebbin, Alemania
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Condición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 6917608/12
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Constructive Computation in Stochastic Models with Applications: The Rg-Factorizations
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Hardcover. Condición: Fair. No Jacket. Missing dust jacket; Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less 2.55. Nº de ref. del artículo: G3642114911I5N01
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Constructive Computation in Stochastic Models with Applications: The RG-Factorizations
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Constructive Computation in Stochastic Models with Applications: The RG-Factorizations
Librería: Lavendier Books, Foster, RI, Estados Unidos de America
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hardcover. Condición: Very Good. Tsinghua University Press and Springer Verlag; Beijing and Heidelberg, 2010. Hardcover. A Very Good, binding sturdy and intact, some handling/scuff marks to boards, bit of spine edge and board corner wear, crease bottom corner page 589/590, small dent bottom text block edge, small nick/chip top edge pages 305-342, without Dust wrapper. A nice, clean and unmarked copy. 8vo[octavo or approx. 6 x 9 inches], 672pp., appendix, indexed. We pack securely and ship daily with delivery confirmation on every book. The picture on the listing page is of the actual book for sale. Additional Scan(s) are available for any item, please inquire.Please note: Oversized books/sets MAY require additional postage then what is quoted for 2.2lb book. Nº de ref. del artículo: SKU1037206
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Constructive Computation in Stochastic Models with Applications
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Springer Berlin Heidelberg, 2010
ISBN 10: 3642114911
ISBN 13: 9783642114915
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Gebunden. Condición: New. The first book in the area of matrix-analytic methods bridging applied mathematics to computer science, operations research and management sciences.Presents recent results on applications in optimization, decision, and game theory. Presents. Nº de ref. del artículo: 5049567
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Constructive Computation in Stochastic Models with Applications: The RG-Factorizations
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Constructive Computation in Stochastic Models with Applications : The RG-Factorizations
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Springer, Berlin, Springer Berlin Heidelberg, Tsinghua University Press, Springer, 2010
ISBN 10: 3642114911
ISBN 13: 9783642114915
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Buch. Condición: Neu. Neuware - 'Constructive Computation in Stochastic Models with Applications: The RG-Factorizations' provides a unified, constructive and algorithmic framework for numerical computation of many practical stochastic systems. It summarizes recent important advances in computational study of stochastic models from several crucial directions, such as stationary computation, transient solution, asymptotic analysis, reward processes, decision processes, sensitivity analysis as well as game theory. Graduate students, researchers and practicing engineers in the field of operations research, management sciences, applied probability, computer networks, manufacturing systems, transportation systems, insurance and finance, risk management and biological sciences will find this book valuable.Dr. Quan-Lin Li is an Associate Professor at the Department of Industrial Engineering of Tsinghua University, China. Nº de ref. del artículo: 9783642114915
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Constructive Computation in Stochastic Models With Applications: The Rg-factorizations
Librería: Revaluation Books, Exeter, Reino Unido
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Hardcover. Condición: Brand New. 1st edition. 672 pages. 9.25x6.50x1.50 inches. In Stock. Nº de ref. del artículo: x-3642114911
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Constructive Computation in Stochastic Models with Applications (Hardcover)
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Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2010
ISBN 10: 3642114911
ISBN 13: 9783642114915
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Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: new. Hardcover. "Constructive Computation in Stochastic Models with Applications: The RG-Factorizations" provides a unified, constructive and algorithmic framework for numerical computation of many practical stochastic systems. It summarizes recent important advances in computational study of stochastic models from several crucial directions, such as stationary computation, transient solution, asymptotic analysis, reward processes, decision processes, sensitivity analysis as well as game theory. Graduate students, researchers and practicing engineers in the field of operations research, management sciences, applied probability, computer networks, manufacturing systems, transportation systems, insurance and finance, risk management and biological sciences will find this book valuable.Dr. Quan-Lin Li is an Associate Professor at the Department of Industrial Engineering of Tsinghua University, China. "Constructive Computation in Stochastic Models with Applications: The RG-Factorizations" provides a unified, constructive and algorithmic framework for numerical computation of many practical stochastic systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9783642114915
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