2008Unpublished venueRequires access

A Descent Algorithm for Solving Variational Inequality Problems

Zahira Kebaili, A. Keraghel

Open publisher page 0 citations

Abstract

Variational inequality problem can be formulated as a differentiable optimization problem [3]. We propose a descent method to solve the equivalent optimization problem inspired by the approach of Fukushima, then we give theoretical results and numerical experimentations.

About this research paper

What this paper is about

Variational inequality problem can be formulated as a differentiable optimization problem [3]. We propose a descent method to solve the equivalent optimization problem inspired by the approach of Fukushima, then we give theoretical results and numerical experimentations.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Variational inequality problem can be formulated as a differentiable optimization problem [3]. We propose a descent method to solve the equivalent optimization problem inspired by the approach of Fukushima, then we give theoretical results and numerical experimentations.

Key concepts: Variational inequality, Descent (aeronautics), Mathematics, Differentiable function, Mathematical optimization, Optimization problem, Inequality, Algorithm

Related papers

Back to paper searchBrowse research topicsOriginal source
A Descent Algorithm for Solving Variational Inequality Problems — Research Paper | ScholarLens