Domain decomposition adaptivity for the Richards equation model

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F13%3A00215749" target="_blank" >RIV/68407700:21110/13:00215749 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60460709:41330/13:66711 RIV/60460709:41330/14:57170

Výsledek na webu

<a href="http://link.springer.com/article/10.1007%2Fs00607-012-0279-8/fulltext.html" target="_blank" >http://link.springer.com/article/10.1007%2Fs00607-012-0279-8/fulltext.html</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00607-012-0279-8" target="_blank" >10.1007/s00607-012-0279-8</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Domain decomposition adaptivity for the Richards equation model

Popis výsledku v původním jazyce

This paper presents a study on efficient and economical domain decomposition adaptivity for Richards equation problems. Many real world applications of the Richards equation model typically involve solving systems of linear equations of huge dimensions.Multi-thread methods are therefore often preferred in order to reduce the required computation time. Multi-thread (parallel) execution is typically achieved by domain decomposition methods. In the case of non-homogeneous materials, the problem conditioning can be significantly improved if the computational domain is split efficiently, as each subdomain can cover only a certain material set within some defined parameter range. For linear problems, e.g. heat conduction, it is very easy to split the domainin this way. A problem arises for the nonlinear Richards equation, where the values of the constitutive functions, even over a homogeneous material, can vary within several orders of magnitude, see e.g. Kuraz et al. (Appl Math Comput 201

Název v anglickém jazyce

Domain decomposition adaptivity for the Richards equation model

Popis výsledku anglicky

This paper presents a study on efficient and economical domain decomposition adaptivity for Richards equation problems. Many real world applications of the Richards equation model typically involve solving systems of linear equations of huge dimensions.Multi-thread methods are therefore often preferred in order to reduce the required computation time. Multi-thread (parallel) execution is typically achieved by domain decomposition methods. In the case of non-homogeneous materials, the problem conditioning can be significantly improved if the computational domain is split efficiently, as each subdomain can cover only a certain material set within some defined parameter range. For linear problems, e.g. heat conduction, it is very easy to split the domainin this way. A problem arises for the nonlinear Richards equation, where the values of the constitutive functions, even over a homogeneous material, can vary within several orders of magnitude, see e.g. Kuraz et al. (Appl Math Comput 201

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BA - Obecná matematika

OECD FORD obor

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Projekt

<a href="/cs/project/TA02021249" target="_blank" >TA02021249: Udržitelné využívání zásob podzemních vod v ČR</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Computing

ISSN

0010-485X

e-ISSN

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Svazek periodika

95

Číslo periodika v rámci svazku

1 Suppleme

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

19

Strana od-do

501-519

Kód UT WoS článku

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EID výsledku v databázi Scopus

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