Low-Rank Tensor Krylov Subspace Methods for Parametrized Linear Systems
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Publication:3225539
DOI10.1137/100799010zbMath1237.65034OpenAlexW2088087394MaRDI QIDQ3225539
Christine Tobler, Daniel Kressner
Publication date: 21 March 2012
Published in: SIAM Journal on Matrix Analysis and Applications (Search for Journal in Brave)
Full work available at URL: http://infoscience.epfl.ch/record/165598
tensoralgorithmsfinite elementsnumerical experimentspreconditioningKrylov subspace methodslow-rank approximationTucker decompositionparametrized linear system
Boundary value problems for second-order elliptic equations (35J25) 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) Multilinear algebra, tensor calculus (15A69) Preconditioners for iterative methods (65F08)
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