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Stochastic Simulation: Algorithms and Analysis (Stochastic Modelling and Applied Probability, No. 57) (No. 100)
Rok: 2007
ISBN: 9780387306797
OKCZID: 110002020
Citace (dle ČSN ISO 690):
ASMUSSEN, Søren. Stochastic simulation: algorithms and analysis. New York: Springer, c2007. xiv, 476 s. Stochastic modelling and applied probability, 57.
Hodnocení:
1.0 / 5
(6 hlasů)
Anotace
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.