| A modified SOR-like method for absolute value equations associated with second order cones | 0 | 0.34 | 2022 |
| Numerical Subspace Algorithms For Solving The Tensor Equations Involving Einstein Product | 0 | 0.34 | 2021 |
| Global least squares methods based on tensor form to solve a class of generalized Sylvester tensor equations. | 0 | 0.34 | 2020 |
| Some Accelerated Iterative Algorithms For Solving Nonsymmetric Algebraic Riccati Equations Arising In Transport Theory | 0 | 0.34 | 2020 |
| A Shamanskii-like self-adaptive Levenberg-Marquardt method for nonlinear equations. | 0 | 0.34 | 2019 |
| Iterative criteria for identifying strong H-tensors. | 0 | 0.34 | 2019 |
| The least squares solution of a class of generalized Sylvester-transpose matrix equations with the norm inequality constraint | 1 | 0.40 | 2019 |
| Krylov subspace methods to solve a class of tensor equations via the Einstein product. | 0 | 0.34 | 2019 |
| Convergent conditions of the generalized Newton method for absolute value equation over second order cones | 0 | 0.34 | 2019 |
| Finite iterative algorithm for the symmetric periodic least squares solutions of a class of periodic Sylvester matrix equations | 0 | 0.34 | 2019 |
| The relaxed gradient-based iterative algorithms for a class of generalized coupled Sylvester-conjugate matrix equations. | 1 | 0.35 | 2018 |
| An iterative algorithm for the least Frobenius norm Hermitian and generalized skew Hamiltonian solutions of the generalized coupled Sylvester-conjugate matrix equations | 1 | 0.35 | 2018 |
| Some iterative methods for the largest positive definite solution to a class of nonlinear matrix equation. | 0 | 0.34 | 2018 |
| An iterative algorithm for the least Frobenius norm least squares solution of a class of generalized coupled Sylvester-transpose linear matrix equations. | 1 | 0.36 | 2018 |
| On the least squares generalized Hamiltonian solution of generalized coupled Sylvester-conjugate matrix equations. | 0 | 0.34 | 2017 |
| Symmetric least squares solution of a class of Sylvester matrix equations via MINIRES algorithm. | 8 | 0.49 | 2017 |
