Partial differential equations discovery with EPDE framework: Application for real and synthetic data [Formula presented]

Тип документаJournal Article
Дата публикации2021-07-01
Название журналаJournal of Computational Science
ИздательElsevier
Квартиль по SCImagoQ1
Квартиль по Web of ScienceQ1
Импакт-фактор 20213.82
ISSN18777503
Theoretical Computer Science
General Computer Science
Modeling and Simulation
Пристатейные ссылки: 26
Цитируется в публикациях: 2
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ГОСТ |
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1. Maslyaev M., Hvatov A., Kalyuzhnaya A. V. Partial differential equations discovery with EPDE framework: Application for real and synthetic data // Journal of Computational Science. 2021. Т. 53. С. 101345.
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TY - JOUR

DO - 10.1016/j.jocs.2021.101345

UR - http://dx.doi.org/10.1016/j.jocs.2021.101345

TI - Partial differential equations discovery with EPDE framework: Application for real and synthetic data

T2 - Journal of Computational Science

AU - Maslyaev, Mikhail

AU - Hvatov, Alexander

AU - Kalyuzhnaya, Anna V.

PY - 2021

DA - 2021/07

PB - Elsevier BV

SP - 101345

VL - 53

SN - 1877-7503

ER -

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@article{Maslyaev_2021,

doi = {10.1016/j.jocs.2021.101345},

url = {https://doi.org/10.1016%2Fj.jocs.2021.101345},

year = 2021,

month = {jul},

publisher = {Elsevier {BV}},

volume = {53},

pages = {101345},

author = {Mikhail Maslyaev and Alexander Hvatov and Anna V. Kalyuzhnaya},

title = {Partial differential equations discovery with {EPDE} framework: Application for real and synthetic data},

journal = {Journal of Computational Science}

}

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Maslyaev, Mikhail, et al. “Partial Differential Equations Discovery with EPDE Framework: Application for Real and Synthetic Data.” Journal of Computational Science, vol. 53, July 2021, p. 101345. Crossref, https://doi.org/10.1016/j.jocs.2021.101345.