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for decomposable composite optimization problems, which maintains the basic convergence properties, but enables one

inequality as a master problem. In order to obtain a completely decomposable problem at the lower level, we

for optimization problems having a special decomposable structure. The proposed modification maintains the basic

for decomposable composite optimization problems, which maintains the basic convergence properties, but enables one

methods is proposed for solving variational inequality problems. For certain structured problems

problems where the goal function is the sum of a smooth function and a non-necessary smooth convex

methods is proposed for solving variational inequality problems. For certain structured problems

Particle swarm optimization in the problem of decomposing two-component spectral profiles

to apply the decomposable semi-regenerative processes theory to the problem of studying the reliability

Combined relaxation methods are convergent to a solution of variational inequality problems under

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