Two sketched GMRES variants in Tucker format, using randomized HOSVD and multilinear Nyström compression, solve tensor linear systems with reduced memory and time, and low-rank compression regularizes inverse problems.
Subspace gradient de- scent method for linear tensor equations, 2026.arXiv:2602.21974
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.NA 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Randomized Tucker-Sketched GMRES
Two sketched GMRES variants in Tucker format, using randomized HOSVD and multilinear Nyström compression, solve tensor linear systems with reduced memory and time, and low-rank compression regularizes inverse problems.