New averaged type algorithms for solving split common fixed-point problem for demicontractive mappings

TL;DR

This paper introduces new averaged iterative algorithms for solving split common fixed-point problems involving demicontractive mappings, extending previous methods for quasi-nonexpansive mappings with proven convergence.

Contribution

The paper develops novel averaged algorithms for demicontractive mappings by embedding them into quasi-nonexpansive mappings, with convergence proofs and effectiveness demonstrated.

Findings

Algorithms converge weakly and strongly in Hilbert spaces.

The methods generalize existing algorithms for quasi-nonexpansive mappings.

Numerical examples confirm the effectiveness of the proposed algorithms.

Abstract

In this paper we propose new averaged iterative algorithms designed for solving a split common fixed-point problem in the class of demicontractive mappings. The algorithms are obtained by inserting an averaged term into the algorithms used in [Li, R. and He, Z., A new iterative algorithm for split solution problems of quasi-nonexpansive mappings {\it J. Inequal. Appl.} {\bf 131} (2015), 1--12.] for solving the same problem but in the class of quasi-nonexpansive mappings, which is a subclass of demicontractive mappings. Basically, our investigation is based on the embedding of demicontractive operators in the class of quasi-nonexpansive operators by means of averaged mappings. For the considered algorithms we prove weak and strong convergence theorems in the setting of a real Hilbert space and also provide examples to show that our results are effective generalizations of existing results in literature.