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Hybrid proximal-type algorithms for generalized equilibrium problems, maximal monotone operators, and relatively nonexpansive mappings

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11 Scopus citations

Abstract

The purpose of this paper is to introduce and consider new hybrid proximal-type algorithms for finding a common element of the set EP of solutions of a generalized equilibrium problem, the set F(S) of fixed points of a relatively nonexpansive mapping S, and the set T -1 0 of zeros of a maximal monotone operator T in a uniformly smooth and uniformly convex Banach space. Strong convergence theorems for these hybrid proximal-type algorithms are established; that is, under appropriate conditions, the sequences generated by these various algorithms converge strongly to the same point in EPF(S) T -1 0. These new results represent the improvement, generalization, and development of the previously known ones in the literature.

Original languageEnglish
Article number973028
JournalFixed Point Theory and Algorithms for Sciences and Engineering
Volume2011
DOIs
StatePublished - 2011

Bibliographical note

Funding Information:
This research was partially supported by the Leading Academic Discipline Project of Shanghai Normal University (no. DZL707), Innovation Program of Shanghai Municipal Education Commission Grant (no. 09ZZ133), National Science Foundation of China (no. 11071169), Ph.D. Program Foundation of Ministry of Education of China (no. 20070270004), Science and Technology Commission of Shanghai Municipality Grant (no. 075105118), and Shanghai Leading Academic Discipline Project (no. S30405). Al-Homidan is grateful to KFUPM for providing research facilities.

ASJC Scopus subject areas

  • Geometry and Topology
  • Applied Mathematics

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