Overview
- State-of-the-art of theoretical development on Monte Carlo (MC), quasi-Monte Carlo (QMC) and Markov chain Monte Carlo (MCMC) methods
- Covers a variety of applications of MC, QMC, and MCMC
- Survey articles on MC, QMC, and MCMC introduce contemporary knowledge and open problems in these areas
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 65)
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Table of contents (34 papers)
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Invited Articles
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Tutorial
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Contributed Articles
Editors and Affiliations
Bibliographic Information
Book Title: Monte Carlo and Quasi-Monte Carlo Methods 2012
Editors: Josef Dick, Frances Y. Kuo, Gareth W. Peters, Ian H. Sloan
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-642-41095-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-41094-9Published: 27 December 2013
Softcover ISBN: 978-3-662-51438-2Published: 27 August 2016
eBook ISBN: 978-3-642-41095-6Published: 05 December 2013
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: XII, 686
Number of Illustrations: 58 b/w illustrations, 6 illustrations in colour
Topics: Computational Mathematics and Numerical Analysis, Statistical Theory and Methods, Computer Graphics