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Iterative solution methods for variational inequalities with nonlinear main operator and constraints to gradient of solutionConvergence of the preconditioned Uzawa-type and Arrow-Hurwitz-type iterative methods for nonlinear
Modelling of compositional gradient for reservoir fluid in a gas condensate deposit with account for scattered liquid hydrocarbons hydrocarbon composition on depth – the compositional gradient – is an important factor in assessing
Finite element approximation and iterative method solution of elliptic control problem with constraints to gradient of state-hand side of Poisson equation is considered. Pointwise constraints on the gradient of state and control
An Adaptive Partial Linearization Method for Optimization Problems on Product Sets concordant to this partition. We suggest an adaptive version of the partial linearization method, which makes
On the radial abundance gradients in discs of irregular galaxies/and with the counterpart method (C method). Moreover, we examine the correspondence between the radial abundance gradient
Efficiently implementable iterative methods for linear elliptic variational inequalities with constraints on the gradient of solution on the gradient of solution. In particular, we prove the convergence of two-stage iterative methods. The main
CONDITIONS FOR ABSENCE OF SOLUTIONS TO SOME HIGHER ORDER ELLIPTIC INEQUALITIES WITH SINGULAR COEFFICIENTS IN Rn coefficients and gradient terms in Rn. Our approach is based on the Pokhozhaev nonlinear capacity method, which
Non-overlapping domain decomposition method for a variational inequality with gradient constraints© Published under licence by IOP Publishing Ltd.Non-overlapping domain decomposition method
Climate warming differently affects Larix decidua ring formation at each end of a French Alps elevational gradient.e., at the bottom (1200 m) and the top (2300 m) of an elevational gradient, respectively.
* Methods
Оптимизация градиентных методов решения экстремальных задач в подземной гидродинамике is considered. In some cases the algorithm permits to reduce the numerical calculations when gradient methods
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