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Statements

Subject Item
n2:RIV%2F61388998%3A_____%2F13%3A00423788%21RIV14-GA0-61388998
rdf:type
skos:Concept n10:Vysledek
dcterms:description
We combine the adaptive and multilevel approaches to the BDDC and formulate a method which allows an adaptive selection of constraints on each decomposition level. We also present a strategy for the solution of local eigenvalue problems in the adaptive algorithm using the LOBPCG method with a preconditioner based on standard components of the BDDC. The effectiveness of the method is illustrated on several engineering problems. It appears that the Adaptive-Multilevel BDDC algorithm is able to effectively detect troublesome parts on each decomposition level and improve convergence of the method. The developed open-source parallel implementation shows a good scalability as well as applicability to very large problems and core counts. We combine the adaptive and multilevel approaches to the BDDC and formulate a method which allows an adaptive selection of constraints on each decomposition level. We also present a strategy for the solution of local eigenvalue problems in the adaptive algorithm using the LOBPCG method with a preconditioner based on standard components of the BDDC. The effectiveness of the method is illustrated on several engineering problems. It appears that the Adaptive-Multilevel BDDC algorithm is able to effectively detect troublesome parts on each decomposition level and improve convergence of the method. The developed open-source parallel implementation shows a good scalability as well as applicability to very large problems and core counts.
dcterms:title
Adaptive-Multilevel BDDC and its parallel implementation Adaptive-Multilevel BDDC and its parallel implementation
skos:prefLabel
Adaptive-Multilevel BDDC and its parallel implementation Adaptive-Multilevel BDDC and its parallel implementation
skos:notation
RIV/61388998:_____/13:00423788!RIV14-GA0-61388998
n10:predkladatel
n11:ico%3A61388998
n3:aktivita
n8:P n8:I
n3:aktivity
I, P(GA106/08/0403)
n3:cisloPeriodika
12
n3:dodaniDat
n15:2014
n3:domaciTvurceVysledku
n12:9318674
n3:druhVysledku
n6:J
n3:duvernostUdaju
n14:S
n3:entitaPredkladatele
n18:predkladatel
n3:idSjednocenehoVysledku
59503
n3:idVysledku
RIV/61388998:_____/13:00423788
n3:jazykVysledku
n17:eng
n3:klicovaSlova
BDDC; parallel algorithms; domain decomposition
n3:klicoveSlovo
n9:parallel%20algorithms n9:BDDC n9:domain%20decomposition
n3:kodStatuVydavatele
AT - Rakouská republika
n3:kontrolniKodProRIV
[4A8C9F2B80AA]
n3:nazevZdroje
Computing
n3:obor
n4:JC
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
3
n3:projekt
n19:GA106%2F08%2F0403
n3:rokUplatneniVysledku
n15:2013
n3:svazekPeriodika
95
n3:tvurceVysledku
Sousedík, Bedřich Mandel, J. Šístek, Jakub
n3:wos
000326885100001
s:issn
0010-485X
s:numberOfPages
32
n16:doi
10.1007/s00607-013-0293-5