Tensor Golub-Kahan method based on Einstein product
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Publication:6582007
DOI10.1016/j.cam.2024.116048zbMath1545.65154MaRDI QIDQ6582007
M. Hached, Anas El Hachimi, Ahmed Ratnani, Khalide Jbilou
Publication date: 1 August 2024
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
tensorEinstein producttensor SVDtensor Lanczos bidiagonalizationtensor Ritz augmentationtensor singular triplets
Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Eigenvalues, singular values, and eigenvectors (15A18) Multilinear algebra, tensor calculus (15A69)
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Cites Work
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- Tensor Decompositions and Applications
- Factorization strategies for third-order tensors
- Tensor-tensor products with invertible linear transforms
- Color image and video restoration using tensor CP decomposition
- A tensor regularized nuclear norm method for image and video completion
- RBF approximation of three dimensional PDEs using tensor Krylov subspace methods
- Fast multidimensional completion and principal component analysis methods via the cosine product
- Tensor Krylov subspace methods via the Einstein product with applications to image and video processing
- Moore–Penrose inverse of tensors via Einstein product
- Solving Multilinear Systems via Tensor Inversion
- An Order-$p$ Tensor Factorization with Applications in Imaging
- Third-Order Tensors as Operators on Matrices: A Theoretical and Computational Framework with Applications in Imaging
- Augmented Implicitly Restarted Lanczos Bidiagonalization Methods
- A tensor bidiagonalization method for higher‐order singular value decomposition with applications
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