PROJECTION ALGORITHMS FOR FIXED POINT PROBLEMS

Abstract We study projection algorithms for finding fixed points of nonexpansive mappings in a Hilbert space. In previous work, the well-definedness of the iterates depended on the nonemptiness of the fixed point set. We first show that the existence of the iterates generated by a general projection algorithm is independent of the existence of fixed points. Next, we introduce a multi-step inertial projection algorithm and establish results on existence, strong convergence and iteration complexity. Our results generalise and improve projection algorithms discussed in the literature.

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Publication Details

Journal
Bulletin of the Australian Mathematical Society
Published
2026-04-21
DOI
https://doi.org/10.1017/s0004972726101117
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

PROJECTION ALGORITHMS FOR FIXED POINT PROBLEMS

Shin-ya Matsushita
Bulletin of the Australian Mathematical Society
Optimization and Variational Analysis
article

PROJECTION ALGORITHMS FOR FIXED POINT PROBLEMS

Shin-ya Matsushita
article en

Abstract

Abstract We study projection algorithms for finding fixed points of nonexpansive mappings in a Hilbert space. In previous work, the well-definedness of the iterates depended on the nonemptiness of the fixed point set. We first show that the existence of the iterates generated by a general projection algorithm is independent of the existence of fixed points. Next, we introduce a multi-step inertial projection algorithm and establish results on existence, strong convergence and iteration complexity. Our results generalise and improve projection algorithms discussed in the literature.

Bulletin of the Australian Mathematical Society
Akita Prefectural University (JP)
Ministry of Education, Culture, Sports, Science and Technology
Reduced inequalities
Openalex Percentile: Top 5%
Optimization and Variational Analysis
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