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Decrease of the mean of the quasi-random integration error. / Ermakov, Sergei M.; Leora, Svetlana N.

в: Communications in Statistics Part B: Simulation and Computation, Том 50, № 11, 2019, стр. 3581-3589.

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Ermakov, Sergei M. ; Leora, Svetlana N. / Decrease of the mean of the quasi-random integration error. в: Communications in Statistics Part B: Simulation and Computation. 2019 ; Том 50, № 11. стр. 3581-3589.

BibTeX

@article{7b419ff558a5494597dc31bd6835cee5,
title = "Decrease of the mean of the quasi-random integration error",
abstract = "The article is devoted to the study of the behavior of the quasi-random integration remainder in the calculation of high-dimensional integrals. As noted in the previous work of the authors, the asymptotic behavior of its decrease, determined by the Koksma-Hlawka inequality, can be used only with a very large number of integration nodes N, which cannot be implemented on modern computers. The article introduces the concept of a mean order of decreasing remainder, which makes it possible to judge its properties with the N values available for realization and to compare various pseudo-random sequences. A number of numerical examples are given. In all cases, it turned out that the Sobol{\textquoteright} sequences in the sense of this criterion are somewhat better than the Holton sequences.",
keywords = "Quasi-Monte Carlo method, Quasi-random sequences, Randomization",
author = "Ermakov, {Sergei M.} and Leora, {Svetlana N.}",
year = "2019",
doi = "10.1080/03610918.2019.1627370",
language = "English",
volume = "50",
pages = "3581--3589",
journal = "Communications in Statistics Part B: Simulation and Computation",
issn = "0361-0918",
publisher = "Taylor & Francis",
number = "11",

}

RIS

TY - JOUR

T1 - Decrease of the mean of the quasi-random integration error

AU - Ermakov, Sergei M.

AU - Leora, Svetlana N.

PY - 2019

Y1 - 2019

N2 - The article is devoted to the study of the behavior of the quasi-random integration remainder in the calculation of high-dimensional integrals. As noted in the previous work of the authors, the asymptotic behavior of its decrease, determined by the Koksma-Hlawka inequality, can be used only with a very large number of integration nodes N, which cannot be implemented on modern computers. The article introduces the concept of a mean order of decreasing remainder, which makes it possible to judge its properties with the N values available for realization and to compare various pseudo-random sequences. A number of numerical examples are given. In all cases, it turned out that the Sobol’ sequences in the sense of this criterion are somewhat better than the Holton sequences.

AB - The article is devoted to the study of the behavior of the quasi-random integration remainder in the calculation of high-dimensional integrals. As noted in the previous work of the authors, the asymptotic behavior of its decrease, determined by the Koksma-Hlawka inequality, can be used only with a very large number of integration nodes N, which cannot be implemented on modern computers. The article introduces the concept of a mean order of decreasing remainder, which makes it possible to judge its properties with the N values available for realization and to compare various pseudo-random sequences. A number of numerical examples are given. In all cases, it turned out that the Sobol’ sequences in the sense of this criterion are somewhat better than the Holton sequences.

KW - Quasi-Monte Carlo method

KW - Quasi-random sequences

KW - Randomization

UR - http://www.scopus.com/inward/record.url?scp=85067700584&partnerID=8YFLogxK

U2 - 10.1080/03610918.2019.1627370

DO - 10.1080/03610918.2019.1627370

M3 - Article

VL - 50

SP - 3581

EP - 3589

JO - Communications in Statistics Part B: Simulation and Computation

JF - Communications in Statistics Part B: Simulation and Computation

SN - 0361-0918

IS - 11

ER -

ID: 45688923