Monte Carlo and Quasi-Monte Carlo Methods - MCQMC 2016, Stanford, CA, August 14-19 (Paperback, Softcover reprint of the original 1st ed. 2018)


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.

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Product Description

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.

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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

Springer Proceedings in Mathematics & Statistics, 241

Release date

2019

Availability

Expected to ship within 10 - 15 working days

First published

2018

Editors

,

Dimensions

235 x 155 x 25mm (L x W x T)

Format

Paperback

Pages

479

Edition

Softcover reprint of the original 1st ed. 2018

ISBN-13

978-3-03-008255-0

Barcode

9783030082550

Categories

LSN

3-03-008255-5



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