Pages that link to "Item:Q1996642"
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The following pages link to A numerical solution of a class of periodic coupled matrix equations (Q1996642):
Displaying 26 items.
- A finite iterative method for solving the general coupled discrete-time periodic matrix equations (Q736349) (← links)
- A matrix constructive method for the analytic-numerical solution of coupled partial differential systems (Q1907214) (← links)
- Periodic conjugate direction algorithm for symmetric periodic solutions of general coupled periodic matrix equations (Q2001295) (← links)
- Conjugate gradient-based iterative algorithm for solving generalized periodic coupled Sylvester matrix equations (Q2096120) (← links)
- Factor gradient iterative algorithm for solving a class of discrete periodic Sylvester matrix equations (Q2096121) (← links)
- Gradient-based neural networks for solving periodic Sylvester matrix equations (Q2109185) (← links)
- An efficient inversion-free method for solving the nonlinear matrix equation \(X^p + \sum_{j=1}^ma_j^*X^{-q_j}a_j=Q\) (Q2137097) (← links)
- Generalized conjugate direction algorithm for solving generalized coupled Sylvester transpose matrix equations over reflexive or anti-reflexive matrices (Q2170717) (← links)
- Convergence analysis of Newton method without inversion for solving discrete algebraic Riccati equations (Q2170765) (← links)
- Solving the general coupled and the periodic coupled matrix equations via the extended QMRCGSTAB algorithms (Q2514056) (← links)
- A novel finite-time complex-valued zeoring neural network for solving time-varying complex-valued Sylvester equation (Q2681929) (← links)
- Weight splitting iteration methods to solve quadratic nonlinear matrix equation \(MY^2+NY+P=0\) (Q2684625) (← links)
- On the minimum-norm least squares solution of the complex generalized coupled Sylvester matrix equations (Q2687817) (← links)
- A REINTERPRETATION OF THE FLOQUET SOLUTION OF THE ORDINARY DIFFERENTIAL EQUATION SYSTEM WITH PERIODIC COEFFICIENTS AS A PROBLEM OF AN INFINITE MATRIX (Q3026214) (← links)
- A representation of a periodic solution of a linear matrix differential equation (Q5926567) (← links)
- Separable multi-innovation Newton iterative modeling algorithm for multi-frequency signals based on the sliding measurement window (Q6042570) (← links)
- Decomposition‐based over‐parameterization forgetting factor stochastic gradient algorithm for Hammerstein‐Wiener nonlinear systems with non‐uniform sampling (Q6060476) (← links)
- Multi‐innovation Newton recursive methods for solving the support vector machine regression problems (Q6071503) (← links)
- Identification of the nonlinear systems based on the kernel functions (Q6071550) (← links)
- A parametric poles assignment algorithm for high-order linear discrete periodic systems (Q6082827) (← links)
- The data filtering based multiple‐stage Levenberg–Marquardt algorithm for Hammerstein nonlinear systems (Q6092381) (← links)
- Explicit solutions of conjugate, periodic, time-varying Sylvester equations (Q6182502) (← links)
- Recursive least squares estimation methods for a class of nonlinear systems based on non-uniform sampling (Q6494672) (← links)
- Gradient-based recursive parameter estimation for a periodically nonuniformly sampled-data Hammerstein-Wiener system based on the key-term separation (Q6494842) (← links)
- The shifted inner-outer iteration methods for solving Sylvester matrix equations (Q6494980) (← links)
- Hierarchical recursive least squares algorithms for Hammerstein nonlinear autoregressive output-error systems (Q6495162) (← links)
