A QTT-based finite element solver for 2D elasticity on partitioned domains is shown to cut memory use versus FEniCS, though the generality and convergence claims rest partly on post-hoc choices.
Oseledets, Tensor-train decomposition, SIAM, Journal on Scientific Computing 33 (5) (2011) 2295–2317
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
math.NA 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
A Low-Rank QTT-based Finite Element Method for Elasticity Problems
A QTT-based finite element solver for 2D elasticity on partitioned domains is shown to cut memory use versus FEniCS, though the generality and convergence claims rest partly on post-hoc choices.