AbstractIn this paper, we suggest and analyze a number of four-step resolvent splitting algorithms for solving general mixed variational inequalities by using the updating technique of the solution. The convergence of these new methods requires either monotonicity or pseudomonotonicity of the operator. Proof of convergence is very simple. Our new methods differ from the existing splitting methods for solving variational inequalities and complementarity problems. The new results are versatile and are easy to implement
The paper is devoted to the combined relaxation approach to constructing solution methods for variat...
AbstractIn this paper, we consider and analyze some classes of resolvent-splitting methods for solvi...
AbstractThe main aim of this work is to use the resolvent operator technique to find the common solu...
AbstractIn this paper, we suggest and analyze a number of four-step resolvent splitting algorithms f...
We use the technique of updating the solution to suggest and analyze a class of new splitting method...
In this paper, we use the technique of updating the solution to suggest and analyze a class of new s...
AbstractIt is well known that the mixed variational inequalities involving the nonlinear term are eq...
AbstractWe consider and analyze some new splitting methods for solving quasi-monotone mixed variatio...
AbstractWe consider and analyze some new projection-splitting algorithms for solving monotone variat...
Abstract In this paper, a projective splitting method for solving a class of generalized mixed varia...
A relaxation iterative method is suggested for variational inequalities whose basic operator is the ...
In this paper, we suggest and analyze a new resolvent algo-rithm for finding the common solutions fo...
AbstractIn this paper, we suggest and analyze some new iterative methods for solving general monoton...
AbstractA new concept of g-partially relaxed strong monotonicity of mappings is introduced. By apply...
© Springer Nature Switzerland AG 2019. We suggest the modified splitting method for mixed variationa...
The paper is devoted to the combined relaxation approach to constructing solution methods for variat...
AbstractIn this paper, we consider and analyze some classes of resolvent-splitting methods for solvi...
AbstractThe main aim of this work is to use the resolvent operator technique to find the common solu...
AbstractIn this paper, we suggest and analyze a number of four-step resolvent splitting algorithms f...
We use the technique of updating the solution to suggest and analyze a class of new splitting method...
In this paper, we use the technique of updating the solution to suggest and analyze a class of new s...
AbstractIt is well known that the mixed variational inequalities involving the nonlinear term are eq...
AbstractWe consider and analyze some new splitting methods for solving quasi-monotone mixed variatio...
AbstractWe consider and analyze some new projection-splitting algorithms for solving monotone variat...
Abstract In this paper, a projective splitting method for solving a class of generalized mixed varia...
A relaxation iterative method is suggested for variational inequalities whose basic operator is the ...
In this paper, we suggest and analyze a new resolvent algo-rithm for finding the common solutions fo...
AbstractIn this paper, we suggest and analyze some new iterative methods for solving general monoton...
AbstractA new concept of g-partially relaxed strong monotonicity of mappings is introduced. By apply...
© Springer Nature Switzerland AG 2019. We suggest the modified splitting method for mixed variationa...
The paper is devoted to the combined relaxation approach to constructing solution methods for variat...
AbstractIn this paper, we consider and analyze some classes of resolvent-splitting methods for solvi...
AbstractThe main aim of this work is to use the resolvent operator technique to find the common solu...