Forward-Backward Splitting Methods for Accretive Operators in Banach Spaces

Genaro López, Victoria Martín-Márquez, Fenghui Wang and Hong-Kun Xu

Abstract and Applied Analysis, 2012, vol. 2012, 1-25

Abstract:

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 are mathematically 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.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlaaa:109236

DOI: 10.1155/2012/109236

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