Mathematical Programming: Series A and B
Mathematical Programming: Series A and B
A Modified Forward-Backward Splitting Method for Maximal Monotone Mappings
SIAM Journal on Control and Optimization
Alternating Projection-Proximal Methods for Convex Programming and Variational Inequalities
SIAM Journal on Optimization
Local Convergence of the Proximal Point Algorithm and Multiplier Methods Without Monotonicity
Mathematics of Operations Research
A new system of variational inclusions with (H, η)-monotone operators in hilbert spaces
Computers & Mathematics with Applications
Generalized Eckstein-Bertsekas proximal point algorithm based on A-maximal monotonicity design
Computers & Mathematics with Applications
A remark on the strong convergence of the over-relaxed proximal point algorithm
Computers & Mathematics with Applications
Hi-index | 0.09 |
First the general framework for a generalized over-relaxed proximal point algorithm using the notion of H-maximal monotonicity (also referred to as H-monotonicity) is developed, and then the convergence analysis for this algorithm in the context of solving a general class of nonlinear inclusion problems is examined along with some auxiliary results on the resolvent operators corresponding to H-maximal monotonicity.