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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

Regularization of ill-posed problems in Hilbert space by means of the implicit iteration processThe article substantiates the convergence of the method with a posteriori choice of the number

Approximation of operator eigenvalue problems in a Hilbert space positive definite operator in an infinite-dimensional Hilbert space is approximated by an operator

Solvability of the boundary-value problem for a partial quasilinear differential equation of the fourth orderWe use a topological method implying the reduction of the initial problem to solving an operational

Interactions of germs with applicationsRiemann-Hilbert boundary value problem

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