Preconditioned iterative methods for a class of nonlinear eigenvalue problems and derive grid-independent
error estimates for these
methods. Numerical experiments demonstrate
On iterative methods for solving equations with covering mappings for convergence and
error estimates are obtained. The
method proposed is an
iterative development of the Arutyunov
Preconditioned iterative methods for a class of nonlinear eigenvalue problems and derive grid-independent
error estimates for these
methods. Numerical experiments demonstrate
Regularization of ill-posed problems in Hilbert space by means of the implicit iteration process of existing
errors in the equation right-hand member. There has been secured
error estimate of the
method Lagrangian Mixed Finite Element Methods for Nonlinear Thin Shell Problems problem are obtained. Accuracy
estimates for approximate solutions are established.
Iterative methods Сходимость в гильбертовом пространстве неявной итерационной процедуры решения линейных уравнений norm of Hilbert space is proved. The apriori
estimations of this
method error, having a
precise
Method of penalization for the state equation for an elliptical optimal control problem equation. We derive the
error estimates for the distance between the exact and regularized solutions. We