Abstract
A general design for the Eckstein–Bertsekas proximal point algorithm, using the notion of the A-maximal monotonicity, is developed. Convergence analysis for the generalized Eckstein–Bertsekas proximal point algorithm in the context of solving a class of nonlinear inclusion problems is explored. Some auxiliary results of interest involving A-maximal monotone mappings are also included. The obtained results generalize investigations on general maximal monotonicity and beyond.
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