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Convex optimization problems with arbitrary right-hand side perturbations descent type method to find its solution. If the primal cost function does not possess strengthened

Decomposition descent method for limit optimization problems decomposition descent method. Its convergence is attained under coercivity type conditions.

Descent methods for monotone equilibrium problems in Banach spaces bifunction. We propose a combined regularization and descent method for this problem and establish strong

D-gap functions and descent methods for a class of monotone equilibrium problems and suggest a descent type algorithm to find solutions to the initial problem.

Decentralized multi-agent optimization based on a penalty methodWe propose a decentralized penalty method for general convex constrained multi-agent optimization

Convex optimization problems with arbitrary right-hand side perturbations descent type method to find its solution. If the primal cost function does not possess strengthened

Numerical method of network operator for multiobjective synthesis of optimal control system. To solve the problem of multiobjective synthesis the numerical method was developed. This method is based

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

D-gap functions and descent methods for a class of monotone equilibrium problems and suggest a descent type algorithm to find solutions to the initial problem.

A general class of relative optimization problems descent solution methods. This approach gives suitable trajectories tending to a relatively optimal state

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