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General hybrid -proximal point algorithm frameworks for finding common solutions of nonlinear operator equations and fixed point problems

Authors :
Lan, Heng-You
Cai, Lecai
Wu, Shulin
Source :
Communications in Nonlinear Science & Numerical Simulation. Apr2013, Vol. 18 Issue 4, p895-904. 10p.
Publication Year :
2013

Abstract

Abstract: In this paper, we introduce and study a new general class of hybrid -proximal point algorithm frameworks for finding the common solutions of nonlinear operator equations and fixed point problems of Lipschitz continuous operators in Hilbert spaces. Further, by using the generalized resolvent operator technique associated with -maximal monotone operators, we discuss the approximation solvability of the operator equation problems and the convergence of iterative sequences generated by the algorithm frameworks. Finally, using software Matlab 7.0, the numerical simulation examples are given to illustrate the validity of main results presented in this paper. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
10075704
Volume :
18
Issue :
4
Database :
Academic Search Index
Journal :
Communications in Nonlinear Science & Numerical Simulation
Publication Type :
Periodical
Accession number :
83162596
Full Text :
https://doi.org/10.1016/j.cnsns.2012.08.026