An alternating inertial forward-backward-forward algorithm for solving monotone inclusion problem and its applications

We present an alternating inertial forward-backward-forward algorithm designed to find the zeros of the sum of a maximally monotone operator and a single-valued monotone operator that is also Lipschitz continuous. This study aims to extend Tseng’s forward-backward-forward algorithm by incorporating alternating inertial effects. We then apply our enhanced algorithm to address convex minimization problems. Key topics include the monotone inclusion problem, forward-backward-forward algorithm, the alternating inertial method, and convex minimization problems. Lastly, we explore the application of our proposed approach in image restoration, emphasizing its effectiveness and adaptability.

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Publication Details

Journal
Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Published
2025-07-14
DOI
https://doi.org/10.25092/baunfbed.1549042
Primary Topic
Optimization and Variational Analysis
Type
article
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article

An alternating inertial forward-backward-forward algorithm for solving monotone inclusion problem and its applications

Ebru Altıparmak
Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Optimization and Variational Analysis
article

An alternating inertial forward-backward-forward algorithm for solving monotone inclusion problem and its applications

Ebru Altıparmak
article en

Abstract

We present an alternating inertial forward-backward-forward algorithm designed to find the zeros of the sum of a maximally monotone operator and a single-valued monotone operator that is also Lipschitz continuous. This study aims to extend Tseng’s forward-backward-forward algorithm by incorporating alternating inertial effects. We then apply our enhanced algorithm to address convex minimization problems. Key topics include the monotone inclusion problem, forward-backward-forward algorithm, the alternating inertial method, and convex minimization problems. Lastly, we explore the application of our proposed approach in image restoration, emphasizing its effectiveness and adaptability.

Balıkesir Üniversitesi Fen Bilimleri Enstitüsü DergisiVol. 27(2)
Erzurum Technical University (TR)
Openalex Percentile: Top 82%
Optimization and Variational Analysis
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