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Monte Carlo and quasi-Monte Carlo methods [Documento eletrónico] : MCQMC 2020, Oxford, United Kingdom, August 10-14 ; edited by Alexander Keller

Corporate Author (Main): Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, August 10-14, 2020Secondary Author: Keller, Alexander, ed. lit.Language: eng.Country: Switzerland, Swiss Confederation.Publication: Cham : Springer International Publishing, 2022Description: XVI, 311 p. : il.ISBN: 978-3-030-98319-2.Series: Springer proceedings in mathematics & statistics, 387Subject - Topical Name: Statistics  | Number theory | Functional analysis | Mathematical optimization Online Resources:Click here to access online
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Item type Current library Collection Call number Copy number Status Date due Barcode
E-Books Biblioteca NOVA FCT Online Não Ficção QA276.SPR FCT (Browse shelf(Opens below)) 1 Available 97072

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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