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Selective Bi-coordinate variations for network equilibrium problems with mixed demand propose a modification of the method of bi-coordinate variations for network equilibrium problems
Descent method for monotone mixed variational inequalities combined regularization and descent method for initial monotone problems and establish convergence of its
Aspects of Applying the Method of Coordinate Descent for the Shepherd Dog Bio-inspired Algorithm is formalized by the Gauss–Seidel method of coordinate descent, named similarly to the Gauss–Seidel iterative
Descent method for nonsmooth variational inequalitiesA descent method with a gap function is proposed for a finite-dimensional variational inequality
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
A descent method with inexact linear search for nonsmooth equilibrium problemsA descent method with respect to the gap function is formulated and justified for the nonsmooth
Descent methods for equilibrium problems in a banach space-free descent method and give conditions which provide strong convergence of the method. © 2004 Elsevier Ltd. AU
Descent methods for mixed variational inequalities in a Hilbert space descent methods for the above problem under various monotonicity assumptions on the cost mapping.
Multicriterial structural-parametric synthesis of automated control system for spaceship descent using network operator method function of coordinates in space of system condition is received by method of network operator. It delivers
Selective Bi-coordinate Method for Limit Non-Smooth Resource Allocation Type Problems© 2017, Springer Science+Business Media B.V. We propose a method of bi-coordinate variations
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