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THE IMPACT OF SELECTIVE CONVEXITY ON THE STRUCTURES OF PRODUCTION FUNCTIONS IN DATA ENVELOPMENT ANALYSIS models is non-convex. For this reason, optimization methods are widely used for applications
Duality for equilibrium problems under generalized monotonicityDuality is studied for an abstract equilibrium problem which includes, among others, optimization
One special SIP problem arising in parametric convex SIP Programming optimal properties of this SIP problem permit to conclude about existence of optimal parameters in a
Optimal second-order regularity for the p-Laplace system to both Dirichlet and Neumann problems, and entail minimal regularity of the boundary of the domain
Subdifferentials of nonconvex integral functionals in banach spaces with applications to stochastic dynamic programming of measure nonatomicity, known as saturation, to invoke the recent results of the Lyapunov convexity theorem
Simplified versions of the conditional gradient method modifications of the conditional gradient method for smooth optimization problems, which maintain the basic
Existence theorem and optimality conditions for a class of convex semi-infinite problems with noncompact index sets. These problems are convex and possess non-compact index sets. In the paper, we present conditions guaranteeing
Adaptive Conditional Gradient Method optimization problems. We propose some deterministic rules of the step length regulation in a normalized
A Non-monotone Conjugate Subgradient Type Method for Minimization of Convex Functions subgradient type method without any line search for minimization of convex non-differentiable functions
On Lagrange duality theory for dynamics vaccination games strong duality between a convex optimization problem connected with the management of vaccinations
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