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
Hi-index | 0.98 |
General framework for the over-relaxed proximal point algorithm using the notion of A-maximal monotonicity (also referred to as A-monotonicity in the literature) 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 involving A-maximal monotone mappings in a Hilbert space setting.