A strongly convergent combined relaxation method in hilbert spacesWe consider a
combined relaxation
method for variational inequalities in a Hilbert space setting
A combined relaxation method for variational inequalities with nonlinear constraints is based on
combining and extending ideas contained in various relaxation
methods of nonsmooth optimization
A combined relaxation method for nonlinear variational inequalitiesWhen applied to variational inequalities,
combined relaxation (CR)
methods are convergent under
A modified combined relaxation method for non-linear convex variational inequalities class of iterative
methods for this problem, which converge to a solution under weakened monotonicity
Combined relaxation method for decomposable variational inequalitiesAn iterative
method based on
combining, modifying and generalizing different relaxation subgradient
A class of combined iterative methods for solving variational inequalities is proposed. It is based on
combining, modifying, and extending ideas contained in various Newton-like
methods A modified combined relaxation method for non-linear convex variational inequalities class of iterative
methods for this problem, which converge to a solution under weakened monotonicity
Methods for identifying clusters of cells in sparse data cubes of multidimensional information systems in the process of data analysis. Possible cube cells can be represented as possible member
combinations A strongly convergent combined relaxation method in hilbert spacesWe consider a
combined relaxation
method for variational inequalities in a Hilbert space setting