An Application of Hybrid Steepest Descent Methods for Equilibrium Problems and Strict Pseudocontractions in Hilbert Spaces

Bibliographic Details
Main Author: Ming Tian
Format: Article
Language:English
Published: SpringerOpen 2011-01-01
Series:Journal of Inequalities and Applications
Online Access:http://dx.doi.org/10.1155/2011/173430
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author Ming Tian
author_facet Ming Tian
author_sort Ming Tian
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1029-242X
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spelling doaj.art-76214306ed74452eb66eac66cd09b01f2022-12-21T19:06:17ZengSpringerOpenJournal of Inequalities and Applications1025-58341029-242X2011-01-01201110.1155/2011/173430An Application of Hybrid Steepest Descent Methods for Equilibrium Problems and Strict Pseudocontractions in Hilbert SpacesMing Tianhttp://dx.doi.org/10.1155/2011/173430
spellingShingle Ming Tian
An Application of Hybrid Steepest Descent Methods for Equilibrium Problems and Strict Pseudocontractions in Hilbert Spaces
Journal of Inequalities and Applications
title An Application of Hybrid Steepest Descent Methods for Equilibrium Problems and Strict Pseudocontractions in Hilbert Spaces
title_full An Application of Hybrid Steepest Descent Methods for Equilibrium Problems and Strict Pseudocontractions in Hilbert Spaces
title_fullStr An Application of Hybrid Steepest Descent Methods for Equilibrium Problems and Strict Pseudocontractions in Hilbert Spaces
title_full_unstemmed An Application of Hybrid Steepest Descent Methods for Equilibrium Problems and Strict Pseudocontractions in Hilbert Spaces
title_short An Application of Hybrid Steepest Descent Methods for Equilibrium Problems and Strict Pseudocontractions in Hilbert Spaces
title_sort application of hybrid steepest descent methods for equilibrium problems and strict pseudocontractions in hilbert spaces
url http://dx.doi.org/10.1155/2011/173430
work_keys_str_mv AT mingtian anapplicationofhybridsteepestdescentmethodsforequilibriumproblemsandstrictpseudocontractionsinhilbertspaces
AT mingtian applicationofhybridsteepestdescentmethodsforequilibriumproblemsandstrictpseudocontractionsinhilbertspaces