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Monte Carlo and Quasi-Monte Methods: MCQMC 2016, Stanford, CA, August 14-19Monte Carlo and Quasi-Monte Methods: MCQMC 2016, Stanford, CA, August 14-19

Monte Carlo and Quasi-Monte Methods: MCQMC 2016, Stanford, CA, August 14-19 in Chattanooga, TN

By Barnes & Noble

Current price: $109.99
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Monte Carlo and Quasi-Monte Methods: MCQMC 2016, Stanford, CA, August 14-19

Barnes and Noble

Monte Carlo and Quasi-Monte Methods: MCQMC 2016, Stanford, CA, August 14-19 in Chattanooga, TN

By Barnes & Noble

Current price: $109.99
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Size: Hardcover

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.
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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