Douglas-Rachford splitting algorithm for projected solution of quasi variational inequality with non-self constraint map

Abstract In this paper, we present a Douglas-Rachford splitting algorithm within a Hilbert space framework that yields a projected solution for a quasi-variational inequality. This is achieved under the conditions that the operator associated with the problem is Lipschitz continuous and strongly monotone. The proposed algorithm is based on the interaction between the resolvent operator and the reflected resolvent operator.

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Publication Details

Journal
Optimization Letters
Published
2025-10-23
DOI
https://doi.org/10.1007/s11590-025-02256-8
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Douglas-Rachford splitting algorithm for projected solution of quasi variational inequality with non-self constraint map

Maede Ramazannejad
Optimization Letters
Optimization and Variational Analysis
article

Douglas-Rachford splitting algorithm for projected solution of quasi variational inequality with non-self constraint map

Maede Ramazannejad
article en

Abstract

Abstract In this paper, we present a Douglas-Rachford splitting algorithm within a Hilbert space framework that yields a projected solution for a quasi-variational inequality. This is achieved under the conditions that the operator associated with the problem is Lipschitz continuous and strongly monotone. The proposed algorithm is based on the interaction between the resolvent operator and the reflected resolvent operator.

Optimization LettersVol. 20(3)
Università Cattolica del Sacro Cuore (IT)
Università Cattolica del Sacro Cuore
Openalex Percentile: Top 68%
Optimization and Variational Analysis
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