Monte Carlo and Quasi-Monte Carlo Methods

MCQMC 2016, Stanford, CA, August 14-19

Nonfiction, Science & Nature, Mathematics, Counting & Numeration, Computers, Database Management, Data Processing
Cover of the book Monte Carlo and Quasi-Monte Carlo Methods by , Springer International Publishing
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Author: ISBN: 9783319914367
Publisher: Springer International Publishing Publication: July 3, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783319914367
Publisher: Springer International Publishing
Publication: July 3, 2018
Imprint: Springer
Language: English

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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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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