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Titlebook: Monte Carlo and Quasi-Monte Carlo Methods; MCQMC 2016, Stanford Art B. Owen,Peter W. Glynn Conference proceedings 2018 Springer Internation

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书目名称Monte Carlo and Quasi-Monte Carlo Methods
副标题MCQMC 2016, Stanford
编辑Art B. Owen,Peter W. Glynn
视频video
概述QMC tutorials by world leading researchers.Cutting edge research by top scholars in high dimensional numerical methods.Results from the conference series of record for QMC and discrepancy
丛书名称Springer Proceedings in Mathematics & Statistics
图书封面Titlebook: Monte Carlo and Quasi-Monte Carlo Methods; MCQMC 2016, Stanford Art B. Owen,Peter W. Glynn Conference proceedings 2018 Springer Internation
描述.This book presents the refereed proceedings of the Twelfth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at Stanford University (California) in August 2016.  These biennial conferences are major events for Monte Carlo and quasi-Monte Carlo researchers. .The proceedings include articles based on invited lectures as well as carefully selected contributed papers on all theoretical aspects and applications of Monte Carlo and quasi-Monte Carlo methods. Offering information on the latest developments in these very active areas, this book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, arising in particular, in finance, statistics, computer graphics and the solution of PDEs..
出版日期Conference proceedings 2018
关键词Monte Carlo; Quasi-Monte Carlo; Markov Chain Monte Carlo; Simulation; Stochastic Computation; Bayesian Co
版次1
doihttps://doi.org/10.1007/978-3-319-91436-7
isbn_softcover978-3-030-08255-0
isbn_ebook978-3-319-91436-7Series ISSN 2194-1009 Series E-ISSN 2194-1017
issn_series 2194-1009
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Monte Carlo and Quasi-Monte Carlo Methods978-3-319-91436-7Series ISSN 2194-1009 Series E-ISSN 2194-1017
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https://doi.org/10.1007/978-3-319-91436-7Monte Carlo; Quasi-Monte Carlo; Markov Chain Monte Carlo; Simulation; Stochastic Computation; Bayesian Co
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Conference proceedings 2018 is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, arising in particular, in finance, statistics, computer graphics and the solution of PDEs..
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