New Trends in General Variational Inequalities
M. A. Noor, K. I. Noor, M. Th. Rassias

TL;DR
This paper introduces new numerical techniques and theoretical insights for solving general variational inequalities, improving convergence and efficiency, and extending to related equilibrium and complementarity problems.
Contribution
It presents novel iterative methods, introduces new classes of convex functions, and simplifies convergence proofs for solving a broad class of variational inequalities.
Findings
New iterative methods with proven convergence.
Introduction of strongly exponentially general convex functions.
Numerical results demonstrating improved efficiency.
Abstract
It is well known that general variational inequalities provide us with a unified, natural, novel and simple framework to study a wide class of unrelated problems, which arise in pure and applied sciences. In this paper, we present a number of new and known numerical techniques for solving general variational inequalities and equilibrium problems using various techniques including projection, Wiener-Hopf equations, dynamical systems, auxiliary principle and penalty function. General variational-like inequalities are introduced and investigated. Properties of higher order strongly general convex functions have been discussed. The auxiliary principle technique is used to suggest and analyze some iterative methods for solving higher order general variational inequalities. Some new classes of strongly exponentially general convex functions are introduced and discussed. Our proofs of…
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Taxonomy
TopicsOptimization and Variational Analysis · Advanced Optimization Algorithms Research · Topology Optimization in Engineering
