Standard

Computer Algebra Methods in Modeling the Dynamics of Particle Beams in Accelerators. / Andrianov, Sergey.

в: Journal of Physics: Conference Series, Том 1686, № 1, 012067, 15.12.2020.

Результаты исследований: Научные публикации в периодических изданияхстатья в журнале по материалам конференцииРецензирование

Harvard

APA

Vancouver

Author

Andrianov, Sergey. / Computer Algebra Methods in Modeling the Dynamics of Particle Beams in Accelerators. в: Journal of Physics: Conference Series. 2020 ; Том 1686, № 1.

BibTeX

@article{b20ac40a8e974302bebc82f9eb19667a,
title = "Computer Algebra Methods in Modeling the Dynamics of Particle Beams in Accelerators",
abstract = "This article is devoted to the methods of numerical and symbolical methods of calculations, which are based on perturbation theory and are implemented in terms of matrix formalism. These methods were used to solve various problems of modeling and optimization in accelerator physics. The basic theoretical principles are verified using methods to neural network technologies, machine learning and others.",
author = "Sergey Andrianov",
note = "Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 6th International Conference on Laser and Plasma Researches and Technologies, LaPlas 2020 ; Conference date: 11-02-2020 Through 14-02-2020",
year = "2020",
month = dec,
day = "15",
doi = "10.1088/1742-6596/1686/1/012067",
language = "English",
volume = "1686",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Computer Algebra Methods in Modeling the Dynamics of Particle Beams in Accelerators

AU - Andrianov, Sergey

N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020/12/15

Y1 - 2020/12/15

N2 - This article is devoted to the methods of numerical and symbolical methods of calculations, which are based on perturbation theory and are implemented in terms of matrix formalism. These methods were used to solve various problems of modeling and optimization in accelerator physics. The basic theoretical principles are verified using methods to neural network technologies, machine learning and others.

AB - This article is devoted to the methods of numerical and symbolical methods of calculations, which are based on perturbation theory and are implemented in terms of matrix formalism. These methods were used to solve various problems of modeling and optimization in accelerator physics. The basic theoretical principles are verified using methods to neural network technologies, machine learning and others.

UR - http://www.scopus.com/inward/record.url?scp=85097978659&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/1686/1/012067

DO - 10.1088/1742-6596/1686/1/012067

M3 - Conference article

AN - SCOPUS:85097978659

VL - 1686

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012067

T2 - 6th International Conference on Laser and Plasma Researches and Technologies, LaPlas 2020

Y2 - 11 February 2020 through 14 February 2020

ER -

ID: 74607978