4.6 Article

Nonlinear iteration method for proximal split feasibility problems

Journal

MATHEMATICAL METHODS IN THE APPLIED SCIENCES
Volume 41, Issue 2, Pages 781-802

Publisher

WILEY
DOI: 10.1002/mma.4644

Keywords

Hilbert spaces; Moreau-Yosida approximate; proximal split feasibility problems; strong convergence

Funding

  1. Alexander von Humboldt Foundation, Bonn

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The purpose of this paper is to introduce iterative algorithm which is a combination of hybrid viscosity approximation method and the hybrid steepest-descent method for solving proximal split feasibility problems and obtain the strong convergence of the sequences generated by the iterative scheme under certain weaker conditions in Hilbert spaces. Our results improve many recent results on the topic in the literature. Several numerical experiments are presented to illustrate the effectiveness of our proposed algorithm, and these numerical results show that our result is computationally easier and faster than previously known results on proximal split feasibility problem.

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