A Hybrid Subgradient Algorithm for Finding a Common Solution of an Equilibrium Problem and a Family of Strict Pseudocontraction Mappings
Author(s) -
Ekkarath Thailert,
Rabian Wangkeeree,
Chanoksuda Khantree
Publication year - 2014
Publication title -
journal of applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.307
H-Index - 43
eISSN - 1687-0042
pISSN - 1110-757X
DOI - 10.1155/2014/142671
Subject(s) - subgradient method , mathematics , complement (music) , hilbert space , class (philosophy) , convergence (economics) , set (abstract data type) , lipschitz continuity , solution set , algorithm , point (geometry) , mathematical optimization , discrete mathematics , computer science , pure mathematics , phenotype , geometry , biochemistry , chemistry , artificial intelligence , complementation , programming language , economics , gene , economic growth
We propose a new strongly convergent algorithm for finding a common point in the solution set of a class of pseudomonotone equilibrium problems and the set of common fixed points of a family of strict pseudocontraction mappings in a real Hilbert space. The strong convergence theorem of proposed algorithms is investigated without the Lipschitz condition for the bifunctions. Our results complement many known recent results in the literature
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