An Ishikawa-Hybrid Proximal Point Algorithm for Nonlinear Set-Valued Inclusions Problem Based on "Equation missing" -Accretive Framework
Hong Gang Li, An Xu, Mao Ming Jin · Fixed Point Theory and Applications · 2010
Abstract A general nonlinear framework for an Ishikawa-hybrid proximal point algorithm using the notion of "Equation missing"-accretive is developed. Convergence analysis for the algorithm of solving a nonlinear set-valued inclusions problem and existence analysis of solution for the nonlinear set-valued inclusions problem are explored along with some results on the resolvent operator corresponding to "Equation missing"-accretive mapping due to Lan-Cho-Verma in Banach space. The result that sequence "Equation missing" generated by the algorithm converges linearly to a solution of the nonlinear set-valued inclusions problem with the convergence rate "Equation missing" is proved.