Téléchargez le livre : Stochastic Simulation: Algorithms and Analysis

Stochastic Simulation: Algorithms and Analysis

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Éditeur :

Springer


Collection :

Stochastic Modelling and Applied Probability

Paru le : 2007-07-14

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Description
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 Professor of Applied Probability at Aarhus University, Denmark and Peter Glynn is Thomas Ford Professor of Engineering at Stanford University.
Pages
476 pages
Collection
Stochastic Modelling and Applied Probability
Parution
2007-07-14
Marque
Springer
EAN papier
9780387306797
EAN PDF
9780387690339
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
0
Taille du fichier
11028 Ko
Prix
46,98 €

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