Convergence analysis of a resolvent-free method for solving inclusion problems beyond Co-coercivity

Abstract In this paper, we introduce a new self-adaptive Tseng-type method for solving inclusion problems. Our method by-passes the co-coercivity condition and does not require any computation of the resolvent (or metric projection) operator. While incorporating the golden ratio technique, we prove weak, strong and $$R-$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>R</mml:mi> <mml:mo>-</mml:mo> </mml:mrow> </mml:math> Linear convergence of our method, and apply our result to solving the critical point problems. Furthermore, we conduct computational experiments to illustrate the performance of our iterative scheme over similar methods in literature.

Authors

Institutions

Publication Details

Journal
Afrika Matematika
Published
2025-03-13
DOI
https://doi.org/10.1007/s13370-025-01275-z
Primary Topic
Advanced Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Convergence analysis of a resolvent-free method for solving inclusion problems beyond Co-coercivity

Oluwatosin Temitope Mewomo, V. A. Uzor
Afrika Matematika
Advanced Optimization Algorithms Research
article

Convergence analysis of a resolvent-free method for solving inclusion problems beyond Co-coercivity

Oluwatosin Temitope Mewomo, V. A. Uzor
article en

Abstract

Abstract In this paper, we introduce a new self-adaptive Tseng-type method for solving inclusion problems. Our method by-passes the co-coercivity condition and does not require any computation of the resolvent (or metric projection) operator. While incorporating the golden ratio technique, we prove weak, strong and $$R-$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>R</mml:mi> <mml:mo>-</mml:mo> </mml:mrow> </mml:math> Linear convergence of our method, and apply our result to solving the critical point problems. Furthermore, we conduct computational experiments to illustrate the performance of our iterative scheme over similar methods in literature.

Afrika MatematikaVol. 36(2)
University of KwaZulu-Natal (ZA)
International Mathematical Union, Inyuvesi Yakwazulu-Natali
Openalex Percentile: Top 93%
Advanced Optimization Algorithms Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.