We consider variational inequality problems where the convex set under consideration is a bounded polytope. We define an associated box constrained minimization problem and we prove that, under a general condition on the Jacobian, the stationary points of the minimization problems are solutions of the variational inequality problem. The condition includes the case where the operator is monotone. Based on this result we develop an algorithm that can solve large scale problems. We present numerical experiments.164179565366
Recently, Fukushima proposed a differentiable optimization framework for solving strictly monotone a...
Real-life problems are governed by equations which are nonlinear in nature. Nonlinear equations occu...
We introduce and study the convergence properties of a projection-type algorithm for solving the var...
. The variational inequality problem is reduced to an optimization problem with a differentiable obj...
. The paper considers two cases of variational inequality problems. The first case involves an affin...
International audienceThe standard algorithms for solving large-scale convex–concave saddle point pr...
summary:We propose a penalty approach for a box constrained variational inequality problem $(\rm BVI...
We consider an application of the proximal point method to variational inequality problems subject t...
AbstractIn this paper, we propose a new decomposition algorithm for solving monotone variational ine...
Abstract. In this paper, for solving the finite-dimensional variational inequality problem ðx xÞTFð...
Abstract. Many variational inequality problems (VIPs) can be reduced, by a compactifica-tion procedu...
Abstract We know that variational inequality problem is very important in the nonlinear analysis. Th...
: In this paper three sufficient conditions are provided under each of which an upper semi-continuou...
. We propose new methods for solving the variational inequality problem where the underlying functio...
We propose an infeasible interior proximal method for solving variational inequality problems with m...
Recently, Fukushima proposed a differentiable optimization framework for solving strictly monotone a...
Real-life problems are governed by equations which are nonlinear in nature. Nonlinear equations occu...
We introduce and study the convergence properties of a projection-type algorithm for solving the var...
. The variational inequality problem is reduced to an optimization problem with a differentiable obj...
. The paper considers two cases of variational inequality problems. The first case involves an affin...
International audienceThe standard algorithms for solving large-scale convex–concave saddle point pr...
summary:We propose a penalty approach for a box constrained variational inequality problem $(\rm BVI...
We consider an application of the proximal point method to variational inequality problems subject t...
AbstractIn this paper, we propose a new decomposition algorithm for solving monotone variational ine...
Abstract. In this paper, for solving the finite-dimensional variational inequality problem ðx xÞTFð...
Abstract. Many variational inequality problems (VIPs) can be reduced, by a compactifica-tion procedu...
Abstract We know that variational inequality problem is very important in the nonlinear analysis. Th...
: In this paper three sufficient conditions are provided under each of which an upper semi-continuou...
. We propose new methods for solving the variational inequality problem where the underlying functio...
We propose an infeasible interior proximal method for solving variational inequality problems with m...
Recently, Fukushima proposed a differentiable optimization framework for solving strictly monotone a...
Real-life problems are governed by equations which are nonlinear in nature. Nonlinear equations occu...
We introduce and study the convergence properties of a projection-type algorithm for solving the var...