Monotonicity of Pairs of Operators and Generalized Inertial Proximal Method

Fuente: arXiv
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Autori principali: Le, Ba Khiet, Mazgouri, Zakaria, Théra, Michel
Natura: Preprint
Pubblicazione: 2026
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author Le, Ba Khiet
Mazgouri, Zakaria
Théra, Michel
author_facet Le, Ba Khiet
Mazgouri, Zakaria
Théra, Michel
contents Monotonicity of pairs of operators is an extension of monotonicity of operators, which plays an important role in solving non-monotone inclusions. One of challenging problems in this new tool is how to design the associated mappings to obtain the monotone pairs. In this paper, we solve this problem and propose a Generalized Inertial Proximal Point Algorithm (GIPPA) using warped resolvents under the monotonicity of pairs. The weak, strong and linear convergence of the algorithm under some mild assumptions are established. We also provide numerical examples illustrating the implementability and effectiveness of the proposed method.
format Preprint
id arxiv_https___arxiv_org_abs_2601_12738
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Monotonicity of Pairs of Operators and Generalized Inertial Proximal Method
Le, Ba Khiet
Mazgouri, Zakaria
Théra, Michel
Optimization and Control
Monotonicity of pairs of operators is an extension of monotonicity of operators, which plays an important role in solving non-monotone inclusions. One of challenging problems in this new tool is how to design the associated mappings to obtain the monotone pairs. In this paper, we solve this problem and propose a Generalized Inertial Proximal Point Algorithm (GIPPA) using warped resolvents under the monotonicity of pairs. The weak, strong and linear convergence of the algorithm under some mild assumptions are established. We also provide numerical examples illustrating the implementability and effectiveness of the proposed method.
title Monotonicity of Pairs of Operators and Generalized Inertial Proximal Method
topic Optimization and Control
url https://arxiv.org/abs/2601.12738