Linear convergence analysis for general proximal point algorithms involving (H, η) − monotonicity frameworks
Author
Verma, Ram U.
Full text
https://revistas.ufro.cl/ojs/index.php/cubo/article/view/136810.4067/S0719-06462011000300010
Abstract
General framework for the generalized proximal point algorithm, based on the notion of (H, η) − monotonicity, is developed. The linear convergence analysis for the generalized proximal point algorithm to the context of solving a class of nonlinear variational inclusions is examined, The obtained results generalize and unify a wide range of problems to the context of achieving the linear convergence for proximal point algorithms.