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Uzawa-type Iterative Solution Methods for Constrained Saddle Point Problems© 2018, Pleiades Publishing, Ltd. For finite-dimensional saddle point problem with a nonlinear

Domain decomposition and Uzawa-type iterative method for elliptic variational inequality and constrained saddle point problem is constructed for the splitted problem. Block relaxation-Uzawa iterative

Finite element approximation and iterative method solution of elliptic control problem with constraints to gradient of state. Discrete saddle point problem is constructed and preconditioned Uzawa-type iterative algorithm for its

Preconditioned Uzawa-type method for a state constrained parabolic optimal control problem with boundary control and its time derivative are imposed. A mesh saddle point problem is constructed and preconditioned Uzawa

Easily implementable iterative methods for variational inequalities with nonlinear diffusion-convection operator and constraints to the gradient of solution nonlinear constrained saddle point problem.

Finite element approximation and iterative method solution of elliptic control problem with constraints to gradient of state. Discrete saddle point problem is constructed and preconditioned Uzawa-type iterative algorithm for its

On the solvability of geometrically nonlinear problem of sandwich plate theory of the generalized statement of the problem as a problem of finding the saddle point of some functionals

Solvability of physically and geometrically nonlinear problem of the theory of sandwich plates with transversally-soft core statement is formulated as a problem of finding a saddle point of a functional. We investigate

Solution of elliptic optimal control problem with pointwise and non-local state constraints© 2017, Allerton Press, Inc.We study an optimal control problem of a system governed by a linear

Efficiently implementable iterative methods for linear elliptic variational inequalities with constraints on the gradient of solution finite-dimensional constrained saddle point problem. The results are applied to prove the convergence

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