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Phenomenon of Immobility in study of convex Optimization problems
Tchemisova, T. V., Kostyukova, O. I.
We are concerned with convex problems of infinite Optimization, namely problems of convex Semi
Exact penalties for decomposable convex optimization problems
Konnov I.V.
We consider a general decomposable convex optimization problem. By using right-hand side allocation
Decentralized multi-agent optimization based on a penalty method
Konnov I.V.
We propose a decentralized penalty method for general convex constrained multi-agent optimization
Envelope stepsize control for iterative algorithms based on Fejer processes with attractants
Nurminsky, Evgeny Alexeevich
convex optimization
Gradient methods with regularization for constrained optimization problems and their complexity estimates
Konnov I.
modifications of conditional gradient and gradient projection methods for smooth convex optimization problems
Dual Decomposition Methods for Nonlinear Resource Allocation Problems in Telecommunication Networks
convex optimization problem involving two kinds of constraints. By using the dual Lagrangian method
Fejer algorithms with an adaptive step
Nurminsky, Evgeny Alexeevich
convex optimization
THE IMPACT OF SELECTIVE CONVEXITY ON THE STRUCTURES OF PRODUCTION FUNCTIONS IN DATA ENVELOPMENT ANALYSIS
Afanasyev A.P., Krivonozhko V.E., Lychev A.V.
models is non-convex. For this reason, optimization methods are widely used for applications
Gradient methods with regularization for constrained optimization problems and their complexity estimates
Konnov I.
modifications of conditional gradient and gradient projection methods for smooth convex optimization problems
The method of multipliers for nonlinearly constrained variational inequalities
Konnov I.
and convex differentiable constraints is considered. We prove the convergence of the method with an arbitrary

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