Stochastic Simulation: Algorithms and Analysis
Author | : Søren Asmussen |
Publisher | : Springer Science & Business Media |
Total Pages | : 490 |
Release | : 2007-07-14 |
ISBN-10 | : 9780387690339 |
ISBN-13 | : 0387690336 |
Rating | : 4/5 (39 Downloads) |
Download or read book Stochastic Simulation: Algorithms and Analysis 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. 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.