2009OptimizationRequires access

A global optimization approach for solving non-monotone variational inequality problems

MendAmar Majig, B. Barsbold, Rentsen Enkhbat, Masao Fukushima

Open publisher page 4 citations

Abstract

The aim of this article is to reformulate the non-monotone variational inequality problem as a global optimization problem and present a branch and bound method for solving it. Under a mild condition, it is shown that the equivalent optimization problem enjoys a Lipschitz property. The proposed approach is illustrated with computational experiments.

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What this paper is about

The aim of this article is to reformulate the non-monotone variational inequality problem as a global optimization problem and present a branch and bound method for solving it. Under a mild condition, it is shown that the equivalent optimization problem enjoys a Lipschitz property. The proposed approach is illustrated with computational experiments.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The aim of this article is to reformulate the non-monotone variational inequality problem as a global optimization problem and present a branch and bound method for solving it. Under a mild condition, it is shown that the equivalent optimization problem enjoys a Lipschitz property. The proposed approach is illustrated with computational experiments.

Key concepts: Mathematics, Monotone polygon, Variational inequality, Lipschitz continuity, Mathematical optimization, Optimization problem, Property (philosophy), Inequality

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