Monte Carlo and Quasi-Monte Carlo Methods
| Autor: | Alexander Keller |
|---|---|
| EAN: | 9783030983192 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 20.05.2022 |
| Untertitel: | MCQMC 2020, Oxford, United Kingdom, August 10-14 |
| Kategorie: | |
| Schlagworte: | 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 cha |
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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.
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