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http://elar.urfu.ru/handle/10995/92443
Полная запись метаданных
Поле DC | Значение | Язык |
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dc.contributor.author | Milstein, G. N. | en |
dc.contributor.author | Tretyakov, M. V. | en |
dc.date.accessioned | 2020-10-20T16:35:47Z | - |
dc.date.available | 2020-10-20T16:35:47Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Milstein G. N. Layer methods for stochastic Navier-Stokes equations using simplest characteristics / G. N. Milstein, M. V. Tretyakov. — DOI 10.1016/j.cam.2016.01.051 // Journal of Computational and Applied Mathematics. — 2016. — Iss. 302. — P. 1-23. | en |
dc.identifier.issn | 0377-0427 | - |
dc.identifier.other | https://doi.org/10.1016/j.cam.2016.01.051 | |
dc.identifier.other | 1 | good_DOI |
dc.identifier.other | 657626a5-23aa-46fc-b1f1-a769f8f705ec | pure_uuid |
dc.identifier.other | http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=84959359505 | m |
dc.identifier.uri | http://elar.urfu.ru/handle/10995/92443 | - |
dc.description.abstract | We propose and study a layer method for stochastic Navier-Stokes equations (SNSE) with spatial periodic boundary conditions and additive noise. The method is constructed using conditional probabilistic representations of solutions to SNSE and exploiting ideas of the weak sense numerical integration of stochastic differential equations. We prove some convergence results for the proposed method including its first mean-square order. Results of numerical experiments on two model problems are presented. © 2016 Elsevier B.V. All rights reserved. | en |
dc.description.sponsorship | Ministry of Education and Science of the Russian Federation: 2725 | en |
dc.description.sponsorship | JP091142 | en |
dc.description.sponsorship | GNM and MVT were partially supported by the Royal Society International Joint Project grant JP091142 . GNM was partially supported by the Ministry of Education and Science of Russian Federation Project 2725. | en |
dc.format.mimetype | application/pdf | en |
dc.language.iso | en | en |
dc.publisher | Elsevier | en |
dc.rights | info:eu-repo/semantics/openAccess | en |
dc.source | Journal of Computational and Applied Mathematics | en |
dc.subject | 60H15 | en |
dc.subject | 60H35 | en |
dc.subject | MSC 65C30 | en |
dc.subject | ADDITIVE NOISE | en |
dc.subject | BOUNDARY CONDITIONS | en |
dc.subject | CONDENSERS (LIQUEFIERS) | en |
dc.subject | DIFFERENTIAL EQUATIONS | en |
dc.subject | NUMERICAL METHODS | en |
dc.subject | STOCHASTIC SYSTEMS | en |
dc.subject | VISCOUS FLOW | en |
dc.subject | 60H15 | en |
dc.subject | 60H35 | en |
dc.subject | MSC 65C30 | en |
dc.subject | NUMERICAL EXPERIMENTS | en |
dc.subject | NUMERICAL INTEGRATION OF STOCHASTIC DIFFERENTIAL EQUATIONS | en |
dc.subject | PERIODIC BOUNDARY CONDITIONS | en |
dc.subject | PROBABILISTIC REPRESENTATION | en |
dc.subject | STOCHASTIC NAVIER-STOKES EQUATIONS | en |
dc.subject | NAVIER STOKES EQUATIONS | en |
dc.title | Layer methods for stochastic Navier-Stokes equations using simplest characteristics | en |
dc.type | Article | en |
dc.type | info:eu-repo/semantics/article | en |
dc.type | info:eu-repo/semantics/publishedVersion | en |
dc.identifier.doi | 10.1016/j.cam.2016.01.051 | - |
dc.identifier.scopus | 84959359505 | - |
local.affiliation | Ural Federal University, Lenin Str. 51, Ekaterinburg, 620083, Russian Federation | |
local.affiliation | School of Mathematical Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom | |
local.contributor.employee | Milstein, G.N., Ural Federal University, Lenin Str. 51, Ekaterinburg, 620083, Russian Federation | |
local.contributor.employee | Tretyakov, M.V., School of Mathematical Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom | |
local.description.firstpage | 1 | - |
local.description.lastpage | 23 | - |
local.issue | 302 | - |
dc.identifier.wos | 000374601100001 | - |
local.identifier.pure | 699260 | - |
local.identifier.eid | 2-s2.0-84959359505 | - |
local.identifier.wos | WOS:000374601100001 | - |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
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Файл | Описание | Размер | Формат | |
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10.1016-j.cam.2016.01.051.pdf | 495,64 kB | Adobe PDF | Просмотреть/Открыть |
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