Work

Weak convergence for variational inequalities with inertial-type method

Year: 2020

Type: article

Abstract: Weak convergence of inertial iterative method for solving variational inequalities is the focus of this paper. The cost function is assumed to be non-Lipschitz and monotone. We propose a projection-type method with inertial terms and give weak convergence analysis under appropriate conditions. Some test results are performed and compared with relevant methods in the literature to show the efficiency and advantages given by our proposed methods.

Source: Applicable Analysis

DOI: 10.1080/00036811.2020.1736287

Authors: Yekini Shehu, Olaniyi S. Iyiola

Institutions: Zhejiang Normal University, Institute of Science and Technology Austria, California University of Pennsylvania, Pennsylvania Western University

Language: English

Topic: Optimization and Variational Analysis

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3010211856

FWCI: 0.946

Cites: 41

Cited by: 17

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