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