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Forward-Backward Splitting Methods for Accretive Operators in Banach Spaces
Author(s) -
Genaro López-Acedo,
Victoria Martín-Márquez,
Fenghui Wang,
Hong–Kun Xu
Publication year - 2012
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2012/109236
Subject(s) - mathematics , banach space , variational inequality , hilbert space , operator (biology) , nonlinear system , convergence (economics) , regular polygon , convex optimization , pure mathematics , mathematical analysis , biochemistry , chemistry , physics , geometry , repressor , quantum mechanics , transcription factor , economics , gene , economic growth
Splitting methods have recently received much attention due to the fact that many nonlinear problems arising in applied areas such as image recovery, signal processing, and machine learning aremathematically modeled as a nonlinear operator equation and this operator is decomposed as the sum of two (possibly simpler) nonlinear operators. Most of the investigation on splitting methods is however carried out in the framework of Hilbert spaces. In this paper, we consider these methods in the setting of Banach spaces. We shall introduce two iterative forward-backward splitting methods with relaxations and errors to find zeros of the sum of two accretive operators in the Banach spaces. We shall prove the weak and strong convergence of these methods under mild conditions. We also discuss applications of these methods to variational inequalities, the split feasibility problem, and a constrained convex minimization problem

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