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Stochastic Simulation Algorithms and Analysis

✍ Scribed by Søren Asmussen, Peter W. Glynn


Publisher
Springer
Year
2010
Tongue
English
Leaves
488
Series
Stochastic Modelling and Applied Probability
Edition
1st Edition.
Category
Library

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✦ Synopsis


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.


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