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Monte Carlo and Quasi-Monte Carlo MethodsMCQMC 2022, Linz, Austria, July 17-22 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Monte Carlo and Quasi-Monte Carlo Methodsedited by Aicke Hinrichs, Peter Kritzer, Friedrich Pillichshammer.
其他題名:	MCQMC 2022, Linz, Austria, July 17-22 /
其他題名:	MCQMC 2022
其他作者:	Hinrichs, Aicke.
團體作者:
出版者:	Cham :Springer International Publishing :2024.
面頁冊數:	xiii, 668 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Monte Carlo methodCongresses.
電子資源:	https://doi.org/10.1007/978-3-031-59762-6
ISBN:	9783031597626$q(electronic bk.)

Monte Carlo and Quasi-Monte Carlo MethodsMCQMC 2022, Linz, Austria, July 17-22 /
Monte Carlo and Quasi-Monte Carlo MethodsMCQMC 2022, Linz, Austria, July 17-22 /[electronic resource] :MCQMC 2022edited by Aicke Hinrichs, Peter Kritzer, Friedrich Pillichshammer. - Cham :Springer International Publishing :2024. - xiii, 668 p. :ill. (some col.), digital ;24 cm. - Springer proceedings in mathematics & statistics,v. 4602194-1017 ;. - Springer proceedings in mathematics & statistics ;v.19..

This book presents the refereed proceedings of the 15th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held in Linz, Austria, and organized by the Johannes Kepler University Linz and the Austrian Academy of Sciences, in July 2022. 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 highly active areas, this book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, in particular arising in finance, statistics and computer graphics.

ISBN: 9783031597626$q(electronic bk.)

Standard No.: 10.1007/978-3-031-59762-6doiSubjects--Topical Terms:

387284
Monte Carlo method
--Congresses.

LC Class. No.: QA298

Dewey Class. No.: 518.282

Monte Carlo and Quasi-Monte Carlo MethodsMCQMC 2022, Linz, Austria, July 17-22 /
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