Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Solving discrete dirichlet problems on spectral finite elements by fast domain decomposition algorithm. / Korneev, Vadim Glebovich.
Sustainable Cities Development and Environment Protection IV. Trans Tech Publications Ltd, 2014. стр. 2312-2329 (Applied Mechanics and Materials; Том 587-589).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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TY - GEN
T1 - Solving discrete dirichlet problems on spectral finite elements by fast domain decomposition algorithm
AU - Korneev, Vadim Glebovich
PY - 2014
Y1 - 2014
N2 - A key component of DD (domain decomposition) solvers for hp discretizations of elliptic equations is the solver for the internal stiffness matrices of p-elements. We consider the algorithm of the linear complexity for solving such problems on spectral p-elements, which, therefore, in the leading DD solver plays the role of the second stage DD solver. It is based on the first order finite element preconditioning of the Orszag type for the reference element stiffness matrices. Earlier, for spectral elements, only fast solvers obtained with the use of special preconditioners in factored form were known. The most intricate part of the algorithm is the inter-subdomain Schur complement preconditioning by inexact iterative solver employing two preconditioners -- preconditioner-solver and preconditioner-multiplicator. From general point of view, the solver developed in the paper is the DD solver for the discretization on a strongly variable in size and shape deteriorating mesh with the number of subdomains growing with the growth of the number of degrees of freedom.
AB - A key component of DD (domain decomposition) solvers for hp discretizations of elliptic equations is the solver for the internal stiffness matrices of p-elements. We consider the algorithm of the linear complexity for solving such problems on spectral p-elements, which, therefore, in the leading DD solver plays the role of the second stage DD solver. It is based on the first order finite element preconditioning of the Orszag type for the reference element stiffness matrices. Earlier, for spectral elements, only fast solvers obtained with the use of special preconditioners in factored form were known. The most intricate part of the algorithm is the inter-subdomain Schur complement preconditioning by inexact iterative solver employing two preconditioners -- preconditioner-solver and preconditioner-multiplicator. From general point of view, the solver developed in the paper is the DD solver for the discretization on a strongly variable in size and shape deteriorating mesh with the number of subdomains growing with the growth of the number of degrees of freedom.
KW - Fast solvers
KW - Preconditioning
KW - Schur complement preconditioning
KW - Spectral finite elements
UR - http://www.scopus.com/inward/record.url?scp=84905020734&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMM.587-589.2312
DO - 10.4028/www.scientific.net/AMM.587-589.2312
M3 - Conference contribution
SN - 9783038351672
T3 - Applied Mechanics and Materials
SP - 2312
EP - 2329
BT - Sustainable Cities Development and Environment Protection IV
PB - Trans Tech Publications Ltd
T2 - 4th International Conference on Civil Engineering, Architecture and Building Materials, CEABM 2014
Y2 - 24 May 2014 through 25 May 2014
ER -
ID: 7062387