In this paper we suggest new dual methods for solving variational inequalities with monotone operators. We show that with an appropriate step-size strategy, our method is optimal both for Lipschitz continuous operators (O(1/e)iterations), and for the operators with bounded variations(0 (1/e2)). Our technique can be applied for solving non smooth convex minimization problems with known structure. In this case the worst-case complexity bound is 0(1/e)iterations
For monotone mixed variational inequalities, a solution method is proposed that combines regularizat...
We propose a new projection-type method with inertial extrapolation for solving pseudo-monotone and ...
AbstractThe extragradient type methods are a class of efficient direct methods. For solving monotone...
In this paper we suggest new dual methods for solving variational inequalities with monotone operato...
AbstractMethods of maximal monotone operators are used in order to study, from a general point of vi...
Abstract In the setting of Hilbert space, a modified subgradient extragradient method is proposed fo...
We apply self-dual variational calculus to inverse problems, optimal control problems and homogeniza...
We consider mixed variational inequalities involving a non-strictly monotone, differentiable cost ma...
AbstractIn this paper, we study some new iterative methods for solving monotone variational inequali...
We provide a general regularization method for monotone variational inequalities, where the regulari...
. We propose new methods for solving the variational inequality problem where the underlying functio...
The paper is devoted to the combined relaxation approach to constructing solution methods for variat...
Recently, Fukushima proposed a differentiable optimization framework for solving strictly monotone a...
AbstractIn this paper, we suggest and analyze a new projection-type method for solving monotone vari...
AbstractIn this paper, we consider and analyze a new class of extragradient-type methods for solving...
For monotone mixed variational inequalities, a solution method is proposed that combines regularizat...
We propose a new projection-type method with inertial extrapolation for solving pseudo-monotone and ...
AbstractThe extragradient type methods are a class of efficient direct methods. For solving monotone...
In this paper we suggest new dual methods for solving variational inequalities with monotone operato...
AbstractMethods of maximal monotone operators are used in order to study, from a general point of vi...
Abstract In the setting of Hilbert space, a modified subgradient extragradient method is proposed fo...
We apply self-dual variational calculus to inverse problems, optimal control problems and homogeniza...
We consider mixed variational inequalities involving a non-strictly monotone, differentiable cost ma...
AbstractIn this paper, we study some new iterative methods for solving monotone variational inequali...
We provide a general regularization method for monotone variational inequalities, where the regulari...
. We propose new methods for solving the variational inequality problem where the underlying functio...
The paper is devoted to the combined relaxation approach to constructing solution methods for variat...
Recently, Fukushima proposed a differentiable optimization framework for solving strictly monotone a...
AbstractIn this paper, we suggest and analyze a new projection-type method for solving monotone vari...
AbstractIn this paper, we consider and analyze a new class of extragradient-type methods for solving...
For monotone mixed variational inequalities, a solution method is proposed that combines regularizat...
We propose a new projection-type method with inertial extrapolation for solving pseudo-monotone and ...
AbstractThe extragradient type methods are a class of efficient direct methods. For solving monotone...