Iterative algorithms for solving some tensor equations
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Publication:5378508
DOI10.1080/03081087.2018.1452889zbMath1415.65103OpenAlexW2793728421WikidataQ130115827 ScholiaQ130115827MaRDI QIDQ5378508
Publication date: 3 June 2019
Published in: Linear and Multilinear Algebra (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03081087.2018.1452889
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Cites Work
- Tensor Decompositions and Applications
- Perron-Frobenius theorem for nonnegative tensors
- An iteration method for the symmetric solutions and the optimal approximation solution of the matrix equation \(AXB\)=\(C\)
- A general product of tensors with applications
- Eigenvalues of a real supersymmetric tensor
- An iterative method for the least squares symmetric solution of the linear matrix equation \(AXB = C\)
- Orthogonal Tensor Decompositions
- Rank-One Approximation to High Order Tensors
- Moore–Penrose inverse of tensors via Einstein product
- Solving Multilinear Systems via Tensor Inversion
- Block Tensor Unfoldings
- A Multilinear Singular Value Decomposition
- Further results on generalized inverses of tensors via the Einstein product
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