In this paper, a new descent-projection method with a new search direction for monotone structured variational inequalities is proposed. The method is simple, which needs only projections and some function evaluations, so its computational load is very tiny. Under mild conditions on the problem-s data, the method is proved to converges globally. Some preliminary computational results are also reported to illustrate the efficiency of the method
An algorithm for solving nonsmooth monotone variational inequalities subject to linear constraints i...
This paper presents a new descent method with optimal step size for structured co-coercive variation...
We consider mixed variational inequalities involving a non-strictly monotone, differentiable cost ma...
This article presents a descent method for solving monotone variational inequalities with separate s...
AbstractIn this paper, we suggest and analyze a new projection-type method for solving monotone vari...
AbstractIn this paper, we study some new iterative methods for solving monotone variational inequali...
. We propose new methods for solving the variational inequality problem where the underlying functio...
We present a framework for descent algorithms that solve the monotone variational inequality problem...
AbstractWe consider and analyze some new projection-splitting algorithms for solving monotone variat...
We present a framework for descent algorithms that solve the monotone variational inequality problem...
Recently, Fukushima proposed a differentiable optimization framework for solving strictly monotone a...
For monotone mixed variational inequalities, a solution method is proposed that combines regularizat...
For monotone mixed variational inequalities, a solution method is proposed that combines regularizat...
AbstractIn this paper, we proposed a modified extragradient method for solving variational inequalit...
AbstractThis paper presents a new class of projection and contraction methods for solving monotone v...
An algorithm for solving nonsmooth monotone variational inequalities subject to linear constraints i...
This paper presents a new descent method with optimal step size for structured co-coercive variation...
We consider mixed variational inequalities involving a non-strictly monotone, differentiable cost ma...
This article presents a descent method for solving monotone variational inequalities with separate s...
AbstractIn this paper, we suggest and analyze a new projection-type method for solving monotone vari...
AbstractIn this paper, we study some new iterative methods for solving monotone variational inequali...
. We propose new methods for solving the variational inequality problem where the underlying functio...
We present a framework for descent algorithms that solve the monotone variational inequality problem...
AbstractWe consider and analyze some new projection-splitting algorithms for solving monotone variat...
We present a framework for descent algorithms that solve the monotone variational inequality problem...
Recently, Fukushima proposed a differentiable optimization framework for solving strictly monotone a...
For monotone mixed variational inequalities, a solution method is proposed that combines regularizat...
For monotone mixed variational inequalities, a solution method is proposed that combines regularizat...
AbstractIn this paper, we proposed a modified extragradient method for solving variational inequalit...
AbstractThis paper presents a new class of projection and contraction methods for solving monotone v...
An algorithm for solving nonsmooth monotone variational inequalities subject to linear constraints i...
This paper presents a new descent method with optimal step size for structured co-coercive variation...
We consider mixed variational inequalities involving a non-strictly monotone, differentiable cost ma...