Monte Carlo and Quasi-Monte Carlo Methods
MCQMC 2020, Oxford, United Kingdom, August 10–14
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Beschreibung
This volume presents the revised papers of the 14th International Conference in Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, MCQMC 2020, which took place online during August 10-14, 2020. This book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, arising, in particular, in statistics, machine learning, finance, and computer graphics, offering information on the latest developments in Monte Carlo and quasi-Monte Carlo methods and their randomized versions.
This volume presents the revised papers of the 14th International Conference in Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, MCQMC 2020, which took place online during August 10-14, 2020. This book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, arising, in particular, in statistics, machine learning, finance, and computer graphics, offering information on the latest developments in Monte Carlo and quasi-Monte Carlo methods and their randomized versions.
Includes proceedings of MCQMC 2020 Provides major source of information for Monte Carlo and quasi-Monte Carlo researchers Acts as excellent reference resource in solving high-dimensional computational problems
Autor*in
Alexander Keller
Themen in »Monte Carlo and Quasi-Monte Carlo Methods«
Monte Carlo quasi-Monte Carlo MCQMC variance reduction Low-discrepancy sequences randomized algorithms sampling neural networks stochastic simulation control variates density estimation quasi-Monte Carlo software light transport simulation Markov chain Monte Carlo (MCMC)