The new Krylov subspace methods for solving tensor equations via T-product
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s40314-023-02487-4.pdf
Reference32 articles.
1. Bai Z-Z, Golub GH, Ng MK (2003) Hermitian and skew-Hermitian splitting methods for non-Hermitian positive definite linear systems. SIAM J Matrix Anal Appl 24(3):603–626
2. Bentbib AH, Hachimi AE, Jbilou K, Ratnani A (2022) A tensor regularized nuclear norm method for image and video completion. J Optim Theory Appl 192(2):401–425
3. Chang SY, Wei Y (2022) T product tensors part I: inequalities. Comput Appl Math 41(1):62
4. Ding W, Wei Y (2016) Solving multi-linear systems with $${\cal{M} }$$-tensors. J Sci Comput 68(2):689–715
5. El Guide M, El Ichi A, Jbilou K, Sadaka R (2021) On tensor GMRES and Golub-Kahan methods via the T-product for color image processing. Electron J Linear Algebra 37:524–543
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