2025
A cooperative jamming decision-making method based on multi-agent reinforcement learning.
Auton. Intell. Syst., December, 2025
DMAdam: Dual averaging enhanced adaptive gradient method for deep neural networks.
Knowl. Based Syst., 2025
A neurodynamic approach with fixed-time convergence for complex-variable pseudo-monotone variational inequalities.
Neurocomputing, 2025
2024
Almost sure convergence of stochastic composite objective mirror descent for non-convex non-smooth optimization.
Optim. Lett., December, 2024
An Iterative Algorithm for Quaternion Eigenvalue Problems in Signal Processing.
IEEE Signal Process. Lett., 2024
A novel predefined-time neurodynamic approach for mixed variational inequality problems and applications.
Neural Networks, 2024
2019
On the Practical Optimal Momentum Parameters.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019
2016
On the optimal parameters of GMSSOR method for saddle point problems.
Appl. Math. Lett., 2016
2015
A Study on the Optimal Double Parameters for Steepest Descent with Momentum.
Neural Comput., 2015
On parameter acceleration methods for saddle point problems.
J. Comput. Appl. Math., 2015
2014
A generalized preconditioned HSS method for singular saddle point problems.
Numer. Algorithms, 2014
Semi-convergence analysis of Uzawa methods for singular saddle point problems.
J. Comput. Appl. Math., 2014
Optimal parameters of the generalized symmetric SOR method for augmented systems.
J. Comput. Appl. Math., 2014
Semi-convergence analysis of GMSSOR methods for singular saddle point problems.
Comput. Math. Appl., 2014
A note on the generalization of parameterized inexact Uzawa method for singular saddle point problems.
Appl. Math. Comput., 2014
2013
Semistability of Steepest Descent with Momentum for Quadratic Functions.
Neural Comput., 2013
Constraint preconditioners for solving singular saddle point problems.
J. Comput. Appl. Math., 2013
Convergence of <i>P</i>-regular splitting iterative methods for non-Hermitian positive semidefinite linear systems.
Int. J. Comput. Math., 2013
2011
A note on block-diagonally preconditioned PIU methods for singular saddle point problems.
Int. J. Comput. Math., 2011
2010
On the convergence of general stationary iterative methods for range-Hermitian singular linear systems.
Numer. Linear Algebra Appl., 2010
2009
An online gradient method with momentum for two-layer feedforward neural networks.
Appl. Math. Comput., 2009
2007
Tikhonov regularization for weighted total least squares problems.
Appl. Math. Lett., 2007
2006
Convergence of gradient method with momentum for two-Layer feedforward neural networks.
IEEE Trans. Neural Networks, 2006
Deterministic Convergence of an Online Gradient Method with Momentum.
Proceedings of the Intelligent Computing, 2006
2005
A note on solving EP inconsistent linear systems.
Appl. Math. Comput., 2005
2004
Solving EP singular linear systems.
Int. J. Comput. Math., 2004
A note on the representation and approximation of the outer inverse A<sub>T, S</sub><sup>(2)</sup> of a matrix A.
Appl. Math. Comput., 2004
Further note on constraint preconditioning for nonsymmetric indefinite matrices.
Appl. Math. Comput., 2004
Recent Developments on Convergence of Online Gradient Methods for Neural Network Training.
Proceedings of the Advances in Neural Networks, 2004
2003
Perturbation bounds for the generalized inverses A<sub>T, S</sub><sup>(2)</sup> with application to constrained linear system.
Appl. Math. Comput., 2003