General hybrid \((A,\eta ,m)\)-proximal point algorithm frameworks for finding common solutions of nonlinear operator equations and fixed point problems

DOI10.1016/j.cnsns.2012.08.026zbMath1446.47071OpenAlexW1978324113MaRDI QIDQ1931387

Heng-you Lan, Shu-Lin Wu, Le-Cai Cai

Publication date: 25 January 2013

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2012.08.026

zbMATH Keywords

convergencefixed point problemgeneralized resolvent operator techniquesystem of nonlinear operator equationsapproximation solvability\((A,\eta ,m)\)-maximal monotonicitygeneral hybrid \((A,\eta ,m)\)-proximal point algorithm framework

Mathematics Subject Classification ID

Monotone operators and generalizations (47H05) Iterative procedures involving nonlinear operators (47J25)

Related Items (1)

Graph-convergent analysis of over-relaxed \((A, \eta, m)\)-proximal point iterative methods with errors for general nonlinear operator equations

Uses Software

• Matlab

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