R. U. Verma, “Generalized Over-Relaxed Proximal Algorithm Based on A-Maximal Monotonicity Framework and Applications to Inclusion Problems,” Mathematical and Computer Modelling, Vol. 49, No. 7-8, 2009, pp. 1587-1594.

has been cited by the following article:

• TITLE: On Over-Relaxed Proximal Point Algorithms for Generalized Nonlinear Operator Equation with (A,η,m)-Monotonicity Framework

  AUTHORS: Fang Li

  KEYWORDS: New Over-Relaxed Proximal Point Algorithm; Nonlinear Operator Equation with (A, η, m)-Monotonicity Framework; Generalized Resolvent Operator Technique; Solvability and Convergence

  JOURNAL NAME: International Journal of Modern Nonlinear Theory and Application, Vol.1 No.3, September 28, 2012

  ABSTRACT: In this paper, a new class of over-relaxed proximal point algorithms for solving nonlinear operator equations with (A,η,m)-monotonicity framework in Hilbert spaces is introduced and studied. Further, by using the generalized resolvent operator technique associated with the (A,η,m)-monotone operators, the approximation solvability of the operator equation problems and the convergence of iterative sequences generated by the algorithm are discussed. Our results improve and generalize the corresponding results in the literature.