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Stochastic Simulation: Algorithms and Analysis: Algorithms and Analysis: 57 (Stochastic Modelling and Applied Probability) - Tapa blanda
Sinopsis
Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods, as well as accompanying mathematical analysis of the convergence properties of the methods discussed. It is the first rigorous and comprehensive advanced book on stochastic simulation. The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first half of the book focuses on general methods; the second half discusses model-specific algorithms. A large amount of exercises and illustrations are included, making the book of value to students, practitioners and researchers in a broad range of fields.
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<p>Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods, as well as accompanying mathematical analysis of the convergence properties of the methods discussed. The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first half of the book focuses on general methods, whereas the second half discusses model-specific algorithms.</p><p>Given the wide range of examples, exercises and applications students, practitioners and researchers in probability, statistics, operations research, economics, finance, engineering as well as biology and chemistry and physics will find the book of value. </p><p>Søren Asmussen is a professor of Applied Probability at Aarhus University, Denmark and Peter Glynn is the Thomas Ford professor of Engineering at Stanford University. </p>
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Stochastic Simulation: Algorithms and Analysis
Publicado por
Springer New York Nov 2010, 2010
ISBN 10: 144192146X
ISBN 13: 9781441921468
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods, as well as accompanying mathematical analysis of the convergence properties of the methods discussed. The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first half of the book focuses on general methods; the second half discusses model-specific algorithms. Exercises and illustrations are included. 492 pp. Englisch. Nº de ref. del artículo: 9781441921468
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Stochastic Simulation: Algorithms and Analysis
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First rigorous and comprehensive advanced book on stochastic simulationLarge amount of exercises and illustrations includedTop world wide experts in areaSampling-based computational methods have become a fundamental part of the n. Nº de ref. del artículo: 4172678
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Stochastic Simulation: Algorithms and Analysis (Stochastic Modelling and Applied Probability, 57)
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Stochastic Simulation: Algorithms and Analysis (Stochastic Modelling and Applied Probability)
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Springer Verlag, 2010
ISBN 10: 144192146X
ISBN 13: 9781441921468
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Paperback. Condición: Fine. No Jacket. Paperback, 476 pp. Small edge bump, else new. Book. Nº de ref. del artículo: 022505
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Stochastic Simulation: Algorithms and Analysis
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Springer New York, Springer US, 2010
ISBN 10: 144192146X
ISBN 13: 9781441921468
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods, as well as accompanying mathematical analysis of the convergence properties of the methods discussed. The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. Given the wide range of examples, exercises and applications students, practitioners and researchers in probability, statistics, operations research, economics, finance, engineering as well as biology and chemistry and physics will find the book of value. Nº de ref. del artículo: 9781441921468
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Stochastic Simulation: Algorithms and Analysis
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Stochastic Simulation: Algorithms and Analysis
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Springer-Verlag New York Inc., 2010
ISBN 10: 144192146X
ISBN 13: 9781441921468
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Stochastic Simulation: Algorithms and Analysis
Publicado por
Springer New York, Springer US Nov 2010, 2010
ISBN 10: 144192146X
ISBN 13: 9781441921468
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. Neuware -Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods, as well as accompanying mathematical analysis of the convergence properties of the methods discussed. The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. Given the wide range of examples, exercises and applications students, practitioners and researchers in probability, statistics, operations research, economics, finance, engineering as well as biology and chemistry and physics will find the book of value.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 492 pp. Englisch. Nº de ref. del artículo: 9781441921468
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Stochastic Simulation
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Condición: New. pp. 492. Nº de ref. del artículo: 263060530
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Stochastic Simulation
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Condición: New. Print on Demand pp. 492 45 Illus. (Col.). Nº de ref. del artículo: 5836013
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