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Generalized csiszár’s f –divergence for lipschitzian functions
Pečarić D., Pečarić J., Pokaz D.
type inequality for L-Lipschitzian functions. The results for commonly used examples of f -divergences
GENERALIZED CSISZAR'S f-DIVERGENCE FOR LIPSCHITZIAN FUNCTIONS
Pecaric D., Pecaric J., Pokaz D.
's type inequality for L-Lipschitzian functions. The results for commonly used examples of f
Stability Analysis for Composite Optimization Problems and Parametric Variational Systems
Mordukhovich B.S., Sarabi M.E.
-real-valued piecewise linear functions recently obtained by the authors. We mainly focus here on establishing
On global partial calmness for bilevel programming problems with linear lower-level problem
Minchenko, L. I., Berezhnov, D. E., Минченко, Л. И., Бережнов, Д. Е.
the pseudo-Lipschitzian continuity (Aubin property) of the solution mapping of the lower level problem.
Full Stability of General Parametric Variational Systems
Mordukhovich B.S., Nghia T.T.A., Pham D.T.
The paper introduces and studies the notions of Lipschitzian and Hölderian full stability
Critical multipliers in variational systems via second-order generalized differentiation
Mordukhovich B.S., Sarabi M.E.
Lipschitzian stability
ON GENERALIZATIONS AND APPLICATIONS OF VARIATIONAL PRINCIPLES OF NONLINEAR ANALYSIS
Zhukovskaya Z.T., Zhukovskiy S.E.
unbounded below functions. The properties of locally Lipschitzian mappings are investigated. Conditions
Differential properties of the minimum function for diagonalizable quadratic problems
Arutyunov A.V., Zhukovskiy S.E., Mingaleeva Z.T.
matrices. Under this assumption, sufficient conditions for the minimum function to be Lipschitzian
Subdifferentials of nonconvex integral functionals in banach spaces with applications to stochastic dynamic programming
Mordukhovich B.S., Sagara N.
The paper concerns the investigation of nonconvex and nondifferentiable integral functionals
Optimality conditions for 2-regular problems with nonsmooth objective functions
Arutyunov A.V., Izmailov A.F., Shvartsman I.
For equality-constrained optimization problems with locally Lipschitzian objective functions, we

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