Pages that link to "Item:Q979919"
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The following pages link to Gradient based iterative solutions for general linear matrix equations (Q979919):
Displaying 23 items.
- On the generalized bisymmetric and skew-symmetric solutions of the system of generalized Sylvester matrix equations (Q3104559) (← links)
- A new approximate inverse preconditioner based on the Vaidya’s maximum spanning tree for matrix equation AXB = C (Q3389578) (← links)
- (Q4215376) (← links)
- An implicit iterative algorithm with a tuning parameter for Itô Lyapunov matrix equations (Q4638047) (← links)
- Gradient based iterative methods for solving symmetric tensor equations (Q5071636) (← links)
- Finite iterative algorithm for solving coupled Lyapunov equations appearing in continuous-time Markov jump linear systems (Q5172499) (← links)
- A Relaxed Gradient Based Algorithm for Solving Extended <scp>S</scp>ylvester‐Conjugate Matrix Equations (Q5172915) (← links)
- Recursive Gauss–Seidel algorithm for direct self‐tuning control (Q5178394) (← links)
- Finite algorithms for solving the coupled Sylvester-conjugate matrix equations over reflexive and Hermitian reflexive matrices (Q5265623) (← links)
- Gradient based iterative algorithms for solving a class of matrix equations (Q5274133) (← links)
- Improved gradient iterative algorithms for solving Lyapunov matrix equations (Q5320240) (← links)
- Consistency of the extended gradient identification algorithm for multi-input multi-output systems with moving average noises (Q5416435) (← links)
- The generalised Sylvester matrix equations over the generalised bisymmetric and skew-symmetric matrices (Q5497437) (← links)
- The right–left preconditioning technique for the solution of the large matrix equation<i>AXB = C</i> (Q5739609) (← links)
- On a transformation of the ∗-congruence Sylvester equation for the least squares optimization (Q5858989) (← links)
- Modified CGLS iterative algorithm for solving the generalized Sylvester-conjugate matrix equation (Q5864821) (← links)
- Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data (Q6099491) (← links)
- Iterative optimal solutions of linear matrix equations for hyperspectral and multispectral image fusing (Q6113107) (← links)
- A modified Levenberg-Marquardt method for solving system of nonlinear equations (Q6138331) (← links)
- Iterative method for constrained systems of conjugate transpose matrix equations (Q6546904) (← links)
- Gradient-based iterative approach for solving constrained systems of linear matrix equations (Q6547360) (← links)
- Iterative algorithm for a generalized matrix equation with momentum acceleration approach and its convergence analysis (Q6579246) (← links)
- A low-cost optimization approach for solving minimum norm linear systems and linear least-squares problems (Q6617006) (← links)