Improving the Gauss–Seidel iterative method for solving multi-linear systems with $$\mathcal {M}$$-tensors
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Publication:6498437
DOI10.1007/S13160-023-00637-ZMaRDI QIDQ6498437
Malihe Nobakht-Kooshkghazi, Mehdi Najafi-Kalyani
Publication date: 7 May 2024
Published in: Japan Journal of Industrial and Applied Mathematics (Search for Journal in Brave)
Iterative numerical methods for linear systems (65F10) Preconditioners for iterative methods (65F08)
Cites Work
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- The sparsest solutions to \(Z\)-tensor complementarity problems
- Convergence of parallel multisplitting iterative methods for M-matrices
- Comparison results for splitting iterations for solving multi-linear systems
- The tensor splitting with application to solve multi-linear systems
- Preconditioned Jacobi type method for solving multi-linear systems with \(\mathcal{M}\)-tensors
- A new preconditioner of the tensor splitting iterative method for solving multi-linear systems with \(\mathcal{M}\)-tensors
- Preconditioned tensor splitting iterations method for solving multi-linear systems
- Solving multi-linear systems with \(\mathcal {M}\)-tensors
- A general product of tensors with applications
- \(M\)-tensors and nonsingular \(M\)-tensors
- An eigenvalue problem for even order tensors with its applications
- Finding the Largest Eigenvalue of a Nonnegative Tensor
- Tensor Analysis
- Preconditioned iterative methods for multi-linear systems based on the majorization matrix
- On the inverse of a tensor
- A new preconditioner for Gauss-Seidel method for solving multi-linear systems
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