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Stochastic Simulation: Algorithms and Analysis

Download or Read eBook Stochastic Simulation: Algorithms and Analysis PDF written by Søren Asmussen and published by Springer Science & Business Media. This book was released on 2007-07-14 with total page 490 pages. Available in PDF, EPUB and Kindle.
Stochastic Simulation: Algorithms and Analysis
Author :
Publisher : Springer Science & Business Media
Total Pages : 490
Release :
ISBN-10 : 9780387690339
ISBN-13 : 0387690336
Rating : 4/5 (39 Downloads)

Book Synopsis Stochastic Simulation: Algorithms and Analysis by : Søren Asmussen

Book excerpt: 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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