Relaxed Viscosity Approximation Methods with Regularization for Constrained Minimization Problems | Zendy

Lu-Chuan Ceng | Zendy; Hong–Kun Xu | Zendy; ChingFeng Wen | Zendy

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Relaxed Viscosity Approximation Methods with Regularization for Constrained Minimization Problems

Author(s) -

Lu-Chuan Ceng,

Hong–Kun Xu,

ChingFeng Wen

Publication year - 2013

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 - 10.1155/2013/531859

Subject(s) - regularization (linguistics) , minification , mathematics , viscosity , regular polygon , convergence (economics) , mathematical optimization , computer science , physics , geometry , artificial intelligence , economics , economic growth , quantum mechanics

We introduce a new relaxed viscosity approximation method with regularization and prove the strong convergence of the method to a common fixed point of finitely many nonexpansive mappings and a strict pseudocontraction that also solves a convexminimization problem and a suitable equilibrium problem

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