A Bramble--Pasciak Conjugate Gradient Method for Discrete Stokes Equations with Random Viscosity
DOI10.1137/18M1163920zbMath1425.65018arXiv1801.01838OpenAlexW2963115621WikidataQ127582011 ScholiaQ127582011MaRDI QIDQ5237176
Christopher Müller, Jens Lang, Sebastian Ullmann
Publication date: 17 October 2019
Published in: SIAM/ASA Journal on Uncertainty Quantification (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1801.01838
Stokes floweigenvaluespreconditioningconjugate gradient methodmixed finite elementsiterative solversstochastic GalerkinPDEs with random data
Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Iterative numerical methods for linear systems (65F10) Stochastic partial differential equations (aspects of stochastic analysis) (60H15) PDEs with randomness, stochastic partial differential equations (35R60) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35) Numerical solutions to stochastic differential and integral equations (65C30) Numerical solution of discretized equations for boundary value problems involving PDEs (65N22) Preconditioners for iterative methods (65F08)
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