Stochastic Simulation: Algorithms and Analysis. [= Stochastic Modelling and Applied Probability, 57]
Asmussen, Soren and Peter W. Glynn:
Language: English
Published by New York, Springer,, 2007
Series: Book 13 of 30 - Stochastic Modelling and Applied Probability
- Hardcover
- Used

Seller: Antiquariat hinter der Stadtmauer, Hann. Münden, GermanyAntiquariat hinter der Stadtmauer
AbeBooks seller since June 24, 2020
Condition: Used - Fine
US$ 53.89
Quantity: 1 available
Add to basketItem description from seller
xiv, 476 S., 24x17 cm Ill. OPp.; ohne Umschlag. Einige s/w Ill. Kapitale leicht bestoßen, schwacher Kratzer auf Hinterdeckel; innen sehr sauber und fest; noch sehr gutes Exemplar. / Hardcover, without jacket. Some illustrations. Head and tail of spine lightly bumped, otherwise clean and tight. Sprache: Englisch Gewicht in Gramm: 850.
Seller Inventory # 25952
- Title
- Stochastic Simulation: Algorithms and Analysis. [= Stochastic Modelling and Applied Probability, 57]
- Author
- Asmussen, Soren and Peter W. Glynn:
- Publisher
- New York, Springer,
- Publication year
- 2007
- Condition
- Sehr gut
- Binding
- Hardcover/Pappeinband
- Language
- English
- ISBN 10
- 038730679X
- ISBN 13
- 9780387306797
- Item weight
- 850 grams
- Series
- Book 13 of 30: Stochastic Modelling and Applied Probability
- Seller catalogs
- Mathematik
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
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.
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.
"About the title" may belong to another edition of this title.
Antiquariat hinter der Stadtmauer
Hann. Münden, Germany
AbeBooks seller since June 24, 2020
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