A strongly convergent combined relaxation method in hilbert spacesWe consider a combined relaxation
method for variational inequalities in a
Hilbert space setting
A strongly convergent combined relaxation method in hilbert spacesWe consider a combined relaxation
method for variational inequalities in a
Hilbert space setting
On convergence of descent methods for variational inequalities in a Hilbert space and convergence of the corresponding descent
methods under a
Hilbert space setting are considered. We give various
Descent methods for mixed variational inequalities in a Hilbert space differentiable cost mapping and a convex nondifferentiable function are considered under a
Hilbert space setting
Gradient methods with regularization for constrained optimization problems and their complexity estimates in
Hilbert spaces. Usually, the custom
methods attain only weak convergence. We prove strong convergence
Gradient methods with regularization for constrained optimization problems and their complexity estimates in
Hilbert spaces. Usually, the custom
methods attain only weak convergence. We prove strong convergence
Approximation of operator eigenvalue problems in a Hilbert space positive definite operator in an infinite-dimensional
Hilbert space is approximated by an operator